This document describes the methodology used for the India Online 2007 study, which analyzed internet usage in India. The study involved two large surveys - a land survey of 10,000 households across 31 cities to estimate internet penetration, and an online survey of over 14,000 internet users on 3 popular portals to understand usage behaviors. Improvements over past years included a larger land survey sample and additional data captured for emerging online activities like blogging and social networking. The methodology aimed to provide a representative view of internet usage in urban India through linking and weighting the survey data.
Internet Users in Local Language Study - 2007JuxtConsult
The India Online Vernacular Language Report studies the popularity of the activity ,local language content specific usage,Demographic Profile of Local Language Content Users,Socio-Economic Profile,Economic Profile,Net Usage Status,Net Usage Dynamics,Preferred Net Activities,Most Used Websites,Most Used Offline Media Brands,Response to Online Marketing Stimuli,Offline Brands Recalled etc
Juxt Consult India Online 2008 Main ReportJuxtConsult
The India Online study helps in understanding the status and net usage behavior and preferences of online Indians. It not only provides the most recent estimates on the Internet user-ship, growth and penetration in India but also gives a highly ‘insightful’ understanding of the current net usage behavior and preferences of various types of online Indians.
Internet usage and behavioral study of NRIs - 2006 Main ReportJuxtConsult
The NRI Online study helps in understanding the status and net usage behavior and preferences of the Non Resident Indians.It gives a highly ‘insightful’ understanding of the current net usage ehavior and preferences of various types of Non Resident Indians.The report is an useful guide to all those who would like to understand and use Internet to market to NRI consumers,Marketers targeting NRI markets – Travel companies, Banks and financial companies,Telecom companies,Real estate players,Websites owners targeting NRI customer base.
Internet Users in Local Language Study - 2007JuxtConsult
The India Online Vernacular Language Report studies the popularity of the activity ,local language content specific usage,Demographic Profile of Local Language Content Users,Socio-Economic Profile,Economic Profile,Net Usage Status,Net Usage Dynamics,Preferred Net Activities,Most Used Websites,Most Used Offline Media Brands,Response to Online Marketing Stimuli,Offline Brands Recalled etc
Juxt Consult India Online 2008 Main ReportJuxtConsult
The India Online study helps in understanding the status and net usage behavior and preferences of online Indians. It not only provides the most recent estimates on the Internet user-ship, growth and penetration in India but also gives a highly ‘insightful’ understanding of the current net usage behavior and preferences of various types of online Indians.
Internet usage and behavioral study of NRIs - 2006 Main ReportJuxtConsult
The NRI Online study helps in understanding the status and net usage behavior and preferences of the Non Resident Indians.It gives a highly ‘insightful’ understanding of the current net usage ehavior and preferences of various types of Non Resident Indians.The report is an useful guide to all those who would like to understand and use Internet to market to NRI consumers,Marketers targeting NRI markets – Travel companies, Banks and financial companies,Telecom companies,Real estate players,Websites owners targeting NRI customer base.
Adaption of E-Filling of Income Tax Returns in KurdistanAI Publications
The study aimed to examine factors influencing E-filling in Kurdistan region of Iraq. To measure the current study, the researchers used three factors (perception, awareness, and quality) as independent variables and E-filling as dependent variable. A quantitative technique applied in order to analyze the current study. Sample design refers to the procedure or method the researcher is willing to accept in choosing items for the sample. Research sample was selected using a procedure of random sampling and it was carried out in different banks. A total of 120 questionnaires were distributed, however 109 participants properly filled out the questionnaires. The results of the study revealed that low levels of computer literacy have a substantial impact on the compliance levels of government organizations. The research determined that in the context of security, the danger of tax noncompliance did not have a major effect on the degree of compliance among the various Iraqi government institutions in the Kurdistan area. The extension or upgrade would be sure to assist in better understanding the determining factor for electronic filing acceptability. Moreover, government agencies, government policy makers, and system designers could also profit from a management policy such as policy makers and agencies. Because of this, the theory and discussion on the subject would provide factual support for the reasons behind why this technology was difficult to adopt. The results show that awareness influences E-as an influential factor significantly and positively E-filling at 5% level. The results show that quality influences E-as an influential factor significantly and positively E-filling at 5% level. The results show that E-filling E-as an influential factor influences significantly and positively E-filling at 5% level. Moreover, all beta value is higher than .001. All models have very high adjusted R2 (0.693, 0.621, 0.712, and 0.763 respectively) indicating the ability of the models explaining the variation of E-filling due to variation of independent variables is very high. The F-value shows that the explanatory variables are jointly statistically significant in the model and the Durbin-Watson (DW) statistics reveals that there is autocorrelation in the models.
Juxt indian generations segmentation study 2010JuxtConsult
The India Consumer Generations gives a deeper profiling of the Indian consumer generations and their regular consumption lifestyle - including details about their location, economic status, household and financial assets ownerships, monthly and annual household expenditure on main spend heads, psychographic profile, day-to-day lifestyle habits and preferences, health status, level of socialization, leisure, holiday and entertainment preferences, status on digital lifestyle, media usage, shopping orientation & preferences, buying orientations, personal and household consumption and brand preferences
Defining Pace of Urban Development: E-Governance (International Journal of Ap...Omkar Parishwad
The rapid development of cities has been concerned with the delivery of services in an organized, planned manner. The urban sector in India, is struggling to make effective use of Information and Communication Technology to further deployment of resources for information retrieval, decision making, ongoing management, service delivery and outreach. All evidence points to the obvious benefits of the use of ICT; environmental and economic sustainability and general livability. This vision of e-governance involves ICT applications to mitigate the
impacts of rapid urbanization. With E-Government systems revolutions befalling urban India due to various policy level interventions by the government; swiftness in development has been ascertained. The present paper investigates Urban Development that has brought e- Governance applications catering to the Government relating to Infrastructure Sector, amongst others; thus affecting environmental, social and economic structure significantly. The study further finds the scope of progress and affected areas for development, encouraged by certain e-Government solutions. The research helps us arrive at a line of action and necessary initiatives for successful implementation of ICT based solutions in Infrastructure industry. It also allows a peek into future scenario of improvements and deliberations in India in consideration with the scenario of developing countries.
*SoftTech Engineers Pvt. Ltd. Mr. Vijay Gupta (CEO), his Product Development, Implementation team and Omkar Parishwad (Business Analyst) have cited the efforts of the company in implementation of e-Governance solutions to Urban Local Bodies and PWD throughout India. AutoDCR® and PWIMS™ are registered trademark products of SoftTech Engineers Pvt. Ltd.
The BMC_DEISI is a composite index that aggregates a large number of published indicators reflecting various key factors of the information society and digital economy. Such factors should be exhaustive and hence capture different aspects such as inputs (drivers), enablers (regulation and business environment), outcomes and outputs (performance), and impacts.
The conceptual framework is composed of five sub-indices with their sub-pillars: Human Capital; ICT Readiness; Governance; ICT Adoption and Usage; and Economic & Social Impact. It includes 58 indicators, two of them are indices, to populate the 5 pillars and 10 sub-pillars.
Towards a sustainable e-Participation implementation model ePractice.eu
Author: M. Sirajul Islam.
This paper proposes a framework for an effective e-Participation model that can be suitable under certain socio-economic settings and applicable to any country. Most of such previous initiatives were experimental in nature and lacked in both public awareness and clearly defined expected outcomes.
Modern aspects of the application of information and communication technologi...SubmissionResearchpa
This article discusses the modern aspects of the application of information and communication technologies (ICT) in the management of the statistical industry of the Republic of Uzbekistan. The article shows that at present, ICTs are an important factor in the development of industries and spheres of the national economy. An information system has been formed in the statistical industry, which is currently being transformed under the influence of advanced technological solutions, including big data technology, which contributes to the competent adoption of managerial decisions and the effective functioning of the industry in the economic market. by Zhukovskaya Irina Evgenievna 2020. Modern aspects of the application of information and communication technologies in the management of the statistical industry of the Republic of Uzbekistan. International Journal on Integrated Education. 2, 4 (Mar. 2020), 70-77. DOI:https://doi.org/10.31149/ijie.v2i4.233. https://journals.researchparks.org/index.php/IJIE/article/view/233/226 https://journals.researchparks.org/index.php/IJIE/article/view/233
Functions of e-government- کارکردهای حکومت الکترونیکFaisal Karimi
E-government is a concept that was introduced into public administration in the 1990s.
Electronic government is the use of information and communication technologies by government.
Analyzing E-Government Development in Kudus Local Government Using SWOT AnalysisEdhie Wibowo
E-government is an important tool for public sector transformation and a force for effective governance, and the Government of Indonesia has been trying to utilize the advances of ICT (Information and Communication Technology) for the public. This research tries to analyze the e-government developments in Kudus Local Government to find the strength and weakness within the organization, as well as the opportunity and threat outside the organization.Using qualitative analysis method, a field research has been done in Kudus Local Government. All findings then analyzed to find the best using SWOT Analysis.The result of this research shows us, that e-government development in Kudus Local Government could be improved in the future by using the precise analysis in the development process to create the best strategic plans based on the analysis and could be used as an insight to develop a new system more effective and efficient in the future.
A New Methodology for Assessing the Minimum Need of Bedrooms Number and Size ...drboon
When comparing dwellings size and percentages in most of the current housing developments in Iraq with household’s size and distribution, they rarely match. That may lead to reducing the accessibility of families to satisfy their housing need. Since there is no up-to-date practical local methodology or criterion available for assessing minimum need of bedrooms number and size for dwellings and their percentages, this research established one.
This research suggested a methodology to classify families of a community to subgroups by their children’s number and gender, calculate their percentages and allocating the appropriate size of dwellings. The research results show that the methodology can determine the various required types and percentages of dwellings that can match minimum need of low income families. It also shows that greater diversification of dwelling units size is essential in local residential developments which differs from what is implemented in the majority of these developments. The research recommends extending studies to assess the need for other local governorates of bigger average family size and assess the future required bedrooms extension for originating and growing families to reduce their movements.
INVESTIGATING TANZANIA GOVERNMENT EMPLOYEES’ ACCEPTANCE AND USE OF SOCIAL MED...IJMIT JOURNAL
The aim of this paper was to present factors which influence work-related adoption of social media among
government employees. The study adapted the Unified Theory of Acceptance and Use of Technology
(UTAUT) and integrated it with three constructs namely Hedonic Motivation (HM), Perceived Personal
Image (PI) and Attitude (AT). The sample of study consisted of 600 usable responses collected using survey
questionnaire from employees based in Tanzania Ministries, Departments and Agencies (MDAs) employing
convenience sampling technique. The data was analyzed using Structural Equation Modelling. The results
showed that, PI and HM influence attitude (AT), while PI, Social Influence (SI) and AT influence Behavior
Intention (BI). Moreover, SI, PI, AT and BI showed significant effect on actual Use Behavior. Furthermore,
the results showed that PI is affected positively by HM and SI. The added constructs proved to be important
modifications to the UTAUT model as suggested by the increase in explained variance by UTAUT from
70% to 73% on BI and from 53% to 73% on actual use behavior.
Juxt Consult India Online 2007 Local Language Content Users ReportJuxtConsult
The India Online Vernacular Language Report studies the popularity of the activity ,local language content specific usage,Demographic Profile of Local Language Content Users,Socio-Economic Profile,Economic Profile,Net Usage Status,Net Usage Dynamics,Preferred Net Activities,Most Used Websites,Most Used Offline Media Brands,Response to Online Marketing Stimuli,Offline Brands Recalled etc
Juxt Consult India Online 2008 Main ReportJuxtConsult
The India Online study helps in understanding the status and net usage behavior and preferences of online Indians. It not only provides the most recent estimates on the Internet user-ship, growth and penetration in India but also gives a highly ‘insightful’ understanding of the current net usage behavior and preferences of various types of online Indians.
Internet usage and behavioral study of NRI - 2006 JuxtConsult
The NRI Online study helps in understanding the status and net usage behavior and preferences of the Non Resident Indians.It gives a highly ‘insightful’ understanding of the current net usage ehavior and preferences of various types of Non Resident Indians.The report is an useful guide to all those who would like to understand and use Internet to market to NRI consumers,Marketers targeting NRI markets – Travel companies, Banks and financial companies,Telecom companies,Real estate players,Websites owners targeting NRI customer base.
A Comparative Study of Urban and Rural Customers on Perception towards Online...ijtsrd
Digital payments are gradually replacing physical cash transactions. In other words, e payment systems or cashless transactions make up digital payments in the online platform, and online payments are widely used as they are perceived to be easy, quick, and comfortable. Digitalization is the key for future growth of the Indian economy. In order to make this into reality, the Indian government and e payment service providers banks are establishing numerous awareness programs to bring e payment systems into the hands of the people in India. These awareness programs under the vision of Digital India program are trying to increase awareness of cashless payments among Indians. Still, consumers have only some awareness of these online payments in India, especially due to the urban and rural divide. In addition to the medium awareness, there are some problems faced by consumers that prevent them from using digital payments. One big problem is network connectivity, again due to the urban and rural divide. Due to the low network connectivity in rural areas, usage of digital payments is limited. Information on the extent of consumer awareness of digital payments will allow the government and other organizations to take the next step to push towards complete digitalization. Therefore, this study focuses on urban and rural customers on perception towards online payment in Anantapur District. M. B. Sindhu | Dr. D. Jakir Hussain "A Comparative Study of Urban and Rural Customers on Perception towards Online Payment System at Anantapur District" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, URL: https://www.ijtsrd.com/papers/ijtsrd47710.pdf Paper URL : https://www.ijtsrd.com/management/consumer-behaviour/47710/a-comparative-study-of-urban-and-rural-customers-on-perception-towards-online-payment-system-at-anantapur-district/m-b-sindhu
Adaption of E-Filling of Income Tax Returns in KurdistanAI Publications
The study aimed to examine factors influencing E-filling in Kurdistan region of Iraq. To measure the current study, the researchers used three factors (perception, awareness, and quality) as independent variables and E-filling as dependent variable. A quantitative technique applied in order to analyze the current study. Sample design refers to the procedure or method the researcher is willing to accept in choosing items for the sample. Research sample was selected using a procedure of random sampling and it was carried out in different banks. A total of 120 questionnaires were distributed, however 109 participants properly filled out the questionnaires. The results of the study revealed that low levels of computer literacy have a substantial impact on the compliance levels of government organizations. The research determined that in the context of security, the danger of tax noncompliance did not have a major effect on the degree of compliance among the various Iraqi government institutions in the Kurdistan area. The extension or upgrade would be sure to assist in better understanding the determining factor for electronic filing acceptability. Moreover, government agencies, government policy makers, and system designers could also profit from a management policy such as policy makers and agencies. Because of this, the theory and discussion on the subject would provide factual support for the reasons behind why this technology was difficult to adopt. The results show that awareness influences E-as an influential factor significantly and positively E-filling at 5% level. The results show that quality influences E-as an influential factor significantly and positively E-filling at 5% level. The results show that E-filling E-as an influential factor influences significantly and positively E-filling at 5% level. Moreover, all beta value is higher than .001. All models have very high adjusted R2 (0.693, 0.621, 0.712, and 0.763 respectively) indicating the ability of the models explaining the variation of E-filling due to variation of independent variables is very high. The F-value shows that the explanatory variables are jointly statistically significant in the model and the Durbin-Watson (DW) statistics reveals that there is autocorrelation in the models.
Juxt indian generations segmentation study 2010JuxtConsult
The India Consumer Generations gives a deeper profiling of the Indian consumer generations and their regular consumption lifestyle - including details about their location, economic status, household and financial assets ownerships, monthly and annual household expenditure on main spend heads, psychographic profile, day-to-day lifestyle habits and preferences, health status, level of socialization, leisure, holiday and entertainment preferences, status on digital lifestyle, media usage, shopping orientation & preferences, buying orientations, personal and household consumption and brand preferences
Defining Pace of Urban Development: E-Governance (International Journal of Ap...Omkar Parishwad
The rapid development of cities has been concerned with the delivery of services in an organized, planned manner. The urban sector in India, is struggling to make effective use of Information and Communication Technology to further deployment of resources for information retrieval, decision making, ongoing management, service delivery and outreach. All evidence points to the obvious benefits of the use of ICT; environmental and economic sustainability and general livability. This vision of e-governance involves ICT applications to mitigate the
impacts of rapid urbanization. With E-Government systems revolutions befalling urban India due to various policy level interventions by the government; swiftness in development has been ascertained. The present paper investigates Urban Development that has brought e- Governance applications catering to the Government relating to Infrastructure Sector, amongst others; thus affecting environmental, social and economic structure significantly. The study further finds the scope of progress and affected areas for development, encouraged by certain e-Government solutions. The research helps us arrive at a line of action and necessary initiatives for successful implementation of ICT based solutions in Infrastructure industry. It also allows a peek into future scenario of improvements and deliberations in India in consideration with the scenario of developing countries.
*SoftTech Engineers Pvt. Ltd. Mr. Vijay Gupta (CEO), his Product Development, Implementation team and Omkar Parishwad (Business Analyst) have cited the efforts of the company in implementation of e-Governance solutions to Urban Local Bodies and PWD throughout India. AutoDCR® and PWIMS™ are registered trademark products of SoftTech Engineers Pvt. Ltd.
The BMC_DEISI is a composite index that aggregates a large number of published indicators reflecting various key factors of the information society and digital economy. Such factors should be exhaustive and hence capture different aspects such as inputs (drivers), enablers (regulation and business environment), outcomes and outputs (performance), and impacts.
The conceptual framework is composed of five sub-indices with their sub-pillars: Human Capital; ICT Readiness; Governance; ICT Adoption and Usage; and Economic & Social Impact. It includes 58 indicators, two of them are indices, to populate the 5 pillars and 10 sub-pillars.
Towards a sustainable e-Participation implementation model ePractice.eu
Author: M. Sirajul Islam.
This paper proposes a framework for an effective e-Participation model that can be suitable under certain socio-economic settings and applicable to any country. Most of such previous initiatives were experimental in nature and lacked in both public awareness and clearly defined expected outcomes.
Modern aspects of the application of information and communication technologi...SubmissionResearchpa
This article discusses the modern aspects of the application of information and communication technologies (ICT) in the management of the statistical industry of the Republic of Uzbekistan. The article shows that at present, ICTs are an important factor in the development of industries and spheres of the national economy. An information system has been formed in the statistical industry, which is currently being transformed under the influence of advanced technological solutions, including big data technology, which contributes to the competent adoption of managerial decisions and the effective functioning of the industry in the economic market. by Zhukovskaya Irina Evgenievna 2020. Modern aspects of the application of information and communication technologies in the management of the statistical industry of the Republic of Uzbekistan. International Journal on Integrated Education. 2, 4 (Mar. 2020), 70-77. DOI:https://doi.org/10.31149/ijie.v2i4.233. https://journals.researchparks.org/index.php/IJIE/article/view/233/226 https://journals.researchparks.org/index.php/IJIE/article/view/233
Functions of e-government- کارکردهای حکومت الکترونیکFaisal Karimi
E-government is a concept that was introduced into public administration in the 1990s.
Electronic government is the use of information and communication technologies by government.
Analyzing E-Government Development in Kudus Local Government Using SWOT AnalysisEdhie Wibowo
E-government is an important tool for public sector transformation and a force for effective governance, and the Government of Indonesia has been trying to utilize the advances of ICT (Information and Communication Technology) for the public. This research tries to analyze the e-government developments in Kudus Local Government to find the strength and weakness within the organization, as well as the opportunity and threat outside the organization.Using qualitative analysis method, a field research has been done in Kudus Local Government. All findings then analyzed to find the best using SWOT Analysis.The result of this research shows us, that e-government development in Kudus Local Government could be improved in the future by using the precise analysis in the development process to create the best strategic plans based on the analysis and could be used as an insight to develop a new system more effective and efficient in the future.
A New Methodology for Assessing the Minimum Need of Bedrooms Number and Size ...drboon
When comparing dwellings size and percentages in most of the current housing developments in Iraq with household’s size and distribution, they rarely match. That may lead to reducing the accessibility of families to satisfy their housing need. Since there is no up-to-date practical local methodology or criterion available for assessing minimum need of bedrooms number and size for dwellings and their percentages, this research established one.
This research suggested a methodology to classify families of a community to subgroups by their children’s number and gender, calculate their percentages and allocating the appropriate size of dwellings. The research results show that the methodology can determine the various required types and percentages of dwellings that can match minimum need of low income families. It also shows that greater diversification of dwelling units size is essential in local residential developments which differs from what is implemented in the majority of these developments. The research recommends extending studies to assess the need for other local governorates of bigger average family size and assess the future required bedrooms extension for originating and growing families to reduce their movements.
INVESTIGATING TANZANIA GOVERNMENT EMPLOYEES’ ACCEPTANCE AND USE OF SOCIAL MED...IJMIT JOURNAL
The aim of this paper was to present factors which influence work-related adoption of social media among
government employees. The study adapted the Unified Theory of Acceptance and Use of Technology
(UTAUT) and integrated it with three constructs namely Hedonic Motivation (HM), Perceived Personal
Image (PI) and Attitude (AT). The sample of study consisted of 600 usable responses collected using survey
questionnaire from employees based in Tanzania Ministries, Departments and Agencies (MDAs) employing
convenience sampling technique. The data was analyzed using Structural Equation Modelling. The results
showed that, PI and HM influence attitude (AT), while PI, Social Influence (SI) and AT influence Behavior
Intention (BI). Moreover, SI, PI, AT and BI showed significant effect on actual Use Behavior. Furthermore,
the results showed that PI is affected positively by HM and SI. The added constructs proved to be important
modifications to the UTAUT model as suggested by the increase in explained variance by UTAUT from
70% to 73% on BI and from 53% to 73% on actual use behavior.
Juxt Consult India Online 2007 Local Language Content Users ReportJuxtConsult
The India Online Vernacular Language Report studies the popularity of the activity ,local language content specific usage,Demographic Profile of Local Language Content Users,Socio-Economic Profile,Economic Profile,Net Usage Status,Net Usage Dynamics,Preferred Net Activities,Most Used Websites,Most Used Offline Media Brands,Response to Online Marketing Stimuli,Offline Brands Recalled etc
Juxt Consult India Online 2008 Main ReportJuxtConsult
The India Online study helps in understanding the status and net usage behavior and preferences of online Indians. It not only provides the most recent estimates on the Internet user-ship, growth and penetration in India but also gives a highly ‘insightful’ understanding of the current net usage behavior and preferences of various types of online Indians.
Internet usage and behavioral study of NRI - 2006 JuxtConsult
The NRI Online study helps in understanding the status and net usage behavior and preferences of the Non Resident Indians.It gives a highly ‘insightful’ understanding of the current net usage ehavior and preferences of various types of Non Resident Indians.The report is an useful guide to all those who would like to understand and use Internet to market to NRI consumers,Marketers targeting NRI markets – Travel companies, Banks and financial companies,Telecom companies,Real estate players,Websites owners targeting NRI customer base.
A Comparative Study of Urban and Rural Customers on Perception towards Online...ijtsrd
Digital payments are gradually replacing physical cash transactions. In other words, e payment systems or cashless transactions make up digital payments in the online platform, and online payments are widely used as they are perceived to be easy, quick, and comfortable. Digitalization is the key for future growth of the Indian economy. In order to make this into reality, the Indian government and e payment service providers banks are establishing numerous awareness programs to bring e payment systems into the hands of the people in India. These awareness programs under the vision of Digital India program are trying to increase awareness of cashless payments among Indians. Still, consumers have only some awareness of these online payments in India, especially due to the urban and rural divide. In addition to the medium awareness, there are some problems faced by consumers that prevent them from using digital payments. One big problem is network connectivity, again due to the urban and rural divide. Due to the low network connectivity in rural areas, usage of digital payments is limited. Information on the extent of consumer awareness of digital payments will allow the government and other organizations to take the next step to push towards complete digitalization. Therefore, this study focuses on urban and rural customers on perception towards online payment in Anantapur District. M. B. Sindhu | Dr. D. Jakir Hussain "A Comparative Study of Urban and Rural Customers on Perception towards Online Payment System at Anantapur District" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-6 , October 2021, URL: https://www.ijtsrd.com/papers/ijtsrd47710.pdf Paper URL : https://www.ijtsrd.com/management/consumer-behaviour/47710/a-comparative-study-of-urban-and-rural-customers-on-perception-towards-online-payment-system-at-anantapur-district/m-b-sindhu
Accountability Initiative is holding a bar-camp on June 5-6. This bar camp would focus on accountability issues in India. This presentation is being made to facilitate ideas on what can be done in India.
A Review of Smart Cities Evolution in India vivatechijri
In order to improve the quality of life for people, smart cities are a modern urban concept. Various
smart technologies are grouped together in order to increase the comfort of human life. This paper highlights the
various technologies that are merged together for building a smart city in a developing country like India. Another
major aspect of the paper focuses on the kind of technological combinations and their effects used to plan and
build a smart city. Finally, the paper concludes by providing an overview of the present status and various
challenges faced during the development of smart cities in the Indian scenarios.
Indo-American Journal of Agricultural and Veterinary Sciences". It appears to be an international online journal that publishes research and review articles in English on topics related to agriculture and veterinary sciences is the journal of the scientific report journal.
It's great to hear that presumably the Asian Journal of Agricultural Sciences and Veterinary Medicine hopes to facilitate research and development in the fields of Agricultural Sciences and Veterinary Medicine through its journal publications of the fast publication journals.
The Indo-American Journal of Agricultural and Veterinary Sciences, It sounds like you're describing a journal or publication process that emphasizes a quick publication schedule while still maintaining a strong peer-review process to ensure the quality and significance of the articles being published of the journal paper.
Usage of Social Media on Phones in IndiaPALLAV GROVER
As a part of our assignment, me and my friend had to trap the idea that is prevalent in India based upon the title mentioned. While answering that, we took cognizance of empirical data with a relatively small but workable population.
Hope it helps.
Enterprise Excellence is Inclusive Excellence.pdfKaiNexus
Enterprise excellence and inclusive excellence are closely linked, and real-world challenges have shown that both are essential to the success of any organization. To achieve enterprise excellence, organizations must focus on improving their operations and processes while creating an inclusive environment that engages everyone. In this interactive session, the facilitator will highlight commonly established business practices and how they limit our ability to engage everyone every day. More importantly, though, participants will likely gain increased awareness of what we can do differently to maximize enterprise excellence through deliberate inclusion.
What is Enterprise Excellence?
Enterprise Excellence is a holistic approach that's aimed at achieving world-class performance across all aspects of the organization.
What might I learn?
A way to engage all in creating Inclusive Excellence. Lessons from the US military and their parallels to the story of Harry Potter. How belt systems and CI teams can destroy inclusive practices. How leadership language invites people to the party. There are three things leaders can do to engage everyone every day: maximizing psychological safety to create environments where folks learn, contribute, and challenge the status quo.
Who might benefit? Anyone and everyone leading folks from the shop floor to top floor.
Dr. William Harvey is a seasoned Operations Leader with extensive experience in chemical processing, manufacturing, and operations management. At Michelman, he currently oversees multiple sites, leading teams in strategic planning and coaching/practicing continuous improvement. William is set to start his eighth year of teaching at the University of Cincinnati where he teaches marketing, finance, and management. William holds various certifications in change management, quality, leadership, operational excellence, team building, and DiSC, among others.
RMD24 | Retail media: hoe zet je dit in als je geen AH of Unilever bent? Heid...BBPMedia1
Grote partijen zijn al een tijdje onderweg met retail media. Ondertussen worden in dit domein ook de kansen zichtbaar voor andere spelers in de markt. Maar met die kansen ontstaan ook vragen: Zelf retail media worden of erop adverteren? In welke fase van de funnel past het en hoe integreer je het in een mediaplan? Wat is nu precies het verschil met marketplaces en Programmatic ads? In dit half uur beslechten we de dilemma's en krijg je antwoorden op wanneer het voor jou tijd is om de volgende stap te zetten.
Digital Transformation and IT Strategy Toolkit and TemplatesAurelien Domont, MBA
This Digital Transformation and IT Strategy Toolkit was created by ex-McKinsey, Deloitte and BCG Management Consultants, after more than 5,000 hours of work. It is considered the world's best & most comprehensive Digital Transformation and IT Strategy Toolkit. It includes all the Frameworks, Best Practices & Templates required to successfully undertake the Digital Transformation of your organization and define a robust IT Strategy.
Editable Toolkit to help you reuse our content: 700 Powerpoint slides | 35 Excel sheets | 84 minutes of Video training
This PowerPoint presentation is only a small preview of our Toolkits. For more details, visit www.domontconsulting.com
"𝑩𝑬𝑮𝑼𝑵 𝑾𝑰𝑻𝑯 𝑻𝑱 𝑰𝑺 𝑯𝑨𝑳𝑭 𝑫𝑶𝑵𝑬"
𝐓𝐉 𝐂𝐨𝐦𝐬 (𝐓𝐉 𝐂𝐨𝐦𝐦𝐮𝐧𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬) is a professional event agency that includes experts in the event-organizing market in Vietnam, Korea, and ASEAN countries. We provide unlimited types of events from Music concerts, Fan meetings, and Culture festivals to Corporate events, Internal company events, Golf tournaments, MICE events, and Exhibitions.
𝐓𝐉 𝐂𝐨𝐦𝐬 provides unlimited package services including such as Event organizing, Event planning, Event production, Manpower, PR marketing, Design 2D/3D, VIP protocols, Interpreter agency, etc.
Sports events - Golf competitions/billiards competitions/company sports events: dynamic and challenging
⭐ 𝐅𝐞𝐚𝐭𝐮𝐫𝐞𝐝 𝐩𝐫𝐨𝐣𝐞𝐜𝐭𝐬:
➢ 2024 BAEKHYUN [Lonsdaleite] IN HO CHI MINH
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7. India Online 2007
1
India Online 2007
The India Online 2007 study is not just an annual update over the
previous year's India Online 2006 study but rather a continuation of
JuxtConsult’s efforts to keep improving the quality of the study every
year. The improvements made in the study this year not only involve
further strengthening of the research methodology but also enhancing
the coverage of the information, especially in the emerging areas of
internet usage in the country like blogging, social networking and
language website usage.
Accordingly the India Online 2007 set of reports will not only provide
you the most recent estimates on the Internet user-ship, its growth and
penetration in India but will also give you an 'insightful' understanding
of the current net usage behavior and preferences of various kinds of
online Indians.
Like in the year 2006, JuxtConsult conducted two large-scale 'primary'
surveys, one offline and one online to complete the study this year as
well. However, the sample size for the 'land' survey (which is used to
estimate the size of internet using population in urban India) was
almost doubled this year to further improve the coverage among the
various population strata in urban India. The land survey, conducted
during April 2007, covered 10,000 households across 31 cities of various
sizes across all the four regions of the country.
The 'online' survey was conducted among 3 of the most popular and
generic portals in Indian with the focus on capturing the in-depth net
usage behaviors and preferences of online Indians. This survey was
conducted by JuxtConsult between April-May 2007 and over 14,200 in-
depth and usable responses were collected and analyzed for final
reporting.
There is one key difference in the study this year compared to the last
year. To make our findings more representative of the entire urban
online population and not just the Internet users who are more likely to
respond to online surveys, this year we have ‘linked’ the findings of our
online survey with the findings of our land survey. This was done by
deriving appropriate individual level ‘weights’ for Internet users from
the land survey and then applying them to the data of the online
survey.
The key information included in the various reports cover the
demographic and socio-economic profiles of the net users, their
ownership of household assets, the source and place of their access to
internet, net usage dynamics, preferred online activities, website
preferences for over 20 key online activities, online buying behavior
and spends, response to online marketing stimuli, offline media
preferences, and much more.
8. IT Professionals on the Net
2
In sum, what you get in India Online 2007 you are unlikely to get
elsewhere:
Highly credible latest estimate of internet using population in urban
India
Key insights on various aspects of internet usage in India
An understanding of online Indians as 'consumers' and not just as
faceless net users
How to reach these online consumers on the net, as well as through
the offline mediums
Preferred 'user shares' of key online brands in 21 different online
activity categories
9. India Online 2007
3
India Online 2007
Reports
Main Report
Overall Status and Usage of Internet in India
User Segment Supplementary Reports
Women on the net
Youth on the net (teenagers and young adults)
Net users by their socio-economic (SEC) profile
Students on the net
Corporate employees on the net
IT professionals on the net
Heavy Online Spenders on the net
Bloggers on the net
Car owners on the net
Two-wheeler owners on the net
Mobile phone owners on the net
Credit card owners on the net
Net users by place of access (homes, place of work, cyber cafes)
Net users by type of connection (broadband, dial-up)
Net users by town population size (10 lakhs plus, 5-10 lakhs, 1-5
lakhs, Below 1 lakh)
Net users by town market size (metros, urban uptowns, emerging
towns, others)
Net users as financial investors
Vernacular language net users
Category Supplementary Reports: (comparative profiling of top 5
websites)
Online shopping
Emailing
Job search
Matrimony
Info search - English
Info Search - Local language
Online travel
Social networking/communities
Friendship / dating
Online news
Financial info/news
Online share trading
Cinema content
Sports content
10. IT Professionals on the Net
4
Online music
Online games
Online real estate
Mobile content download
Astrology
Online learning/education
Note - All supplement reports are subject to sufficiency of sample
responses. Demographic segment wise details by gender, age, SEC
classification, region and place of net access are included in each of
the reports as appendix tables.
11. India Online 2007
5
Methodology
In order to derive highly robust and authentic estimates of the current
user-ship of Internet in India, and draw out a truly representative
internet usage behavior patterns, we at JuxtConsult keep improving
and refining our research methodology for the India Online study every
year. In 2007, we have again brought in two significant improvements:
We have increased our land survey sample base to 10,000 (from
5,500 last year) and the coverage of the number of cities to 31
(from 21 last year). The distribution of these 31 cities continues to
be well spread across the 4 regions of the country. But more
importantly, in terms of coverage of towns by their population size,
we dug deeper this year and covered all town classes that have
population of 20,000 individuals and above.
Further, to better capture the internet usage across all types of
socio-economic classes (SEC) in urban Indian, we allocated equal
sample quota among the 5 broad socio-economic classes A, B, C, D
and E across various zones within a town, and then across the town
classes and regions. To correct for and put back the real
representation of the socio-economic classes (and not equal
representation) during the data processing stage, we incorporated
the appropriate SEC 'weights' derived from the actual urban
population statistics from authentic govt. Sources (National Sample
Survey Organization and Census of India).
These two refinements in the sampling methodology ensured that this
year we get an even better representation of various types of internet
users in urban India.
Like last year, this year again we conducted both a land survey and an
online survey separately, with the focus of the land survey being on
estimating the size of the internet using population in urban India, and
that of the online survey on capturing the net usage behavior and
preference patterns. The two surveys had some common questions on
demographic profiles and net usage behavior to help us link up the two
sets of data at the processing stage.
The Land Survey
The objective of the land survey was two fold. First, to help us
estimate the internet user-ship in urban India, as with a land survey we
could cover both the user and non-user population of the internet in a
representative way. The other objective was to derive relevant
demographic 'multipliers' from this survey which could then be applied
to the internet usage data collected in the online survey.
The use of these 'individual' level multipliers helped us make the online
survey findings 'representative' of the entire urban online population
and not just of those who are more likely to fill up an online surveys
(because of factors like convenience of access, regularity of usage,
12. IT Professionals on the Net
6
attractiveness of the incentive prize offered for filling the survey,
etc.).
The land survey undertaken this year was again a household level
survey across 10,000 households in 31 cities spread across all regions of
India. The survey was conducted and completed between mid-April to
early-May 2007. Care was taken that all relevant classes of towns with
population size of over 20,000 individuals were covered and surveyed
across each of the 4 regions of the country. Within a city, 5
geographical locations were chosen, one each in the north, south, east,
west and central parts of the city. From each location within a city an
equal number of households from the five socio-economic classes A, B,
C, D, and E were surveyed.
The cities where the land surveys were conducted and the size of the
sample data collected from each of these cities are as follows:
Table 1: Detailed sample base distribution of the land survey
Region City/ Town City Class Sample Size City Class
Delhi 10 lakh + 401
Kanpur (UP) 10 lakh + 297
Ludhiana (Pun) 10 lakh + 302
Patna (Bih) 10 lakh + 303
Allahabad (UP) 5 lakh – 10 lakh 298
Ajmer (UP) 1 lakh – 5 lakh 314
10 lakh +
Bhadohi (UP) 50 K – 1 lakh 299
Muradnagar (UP) 50 K – 1 lakh 300
North
Sohna (Har) 20 K – 50 K 307
Mumbai (Mah) 10 lakh + 399
Ahmedabad (Guj) 10 lakh + 404
Pune (Mah) 10 lakh + 300
5 lakh - 10 lakh
Rajkot (Guj) 5 lakh - 10 lakh 301
Dewas (MP) 1 lakh - 5 lakh 303
Hinganghat (Mah) 50 K - 1 lakh 307
Mhowgaon (MP) 20 K - 50 K 296
West
Katol (Mah) 20 K - 50 K 276
Kolkata (WB) 10 lakh + 398
1 lakh – 5 lakh
Guwahati (Ass) 5 lakh – 10 lakh 299
Bhubneshwar (Ori) 5 lakh – 10 lakh 303
Raniganj (WB) 1 lakh – 5 lakh 300
Bhatapara (Chat) 50 K – 1 lakh 252
East
Champa (Chat) 20 K – 50 K 292
Chennai (TN) 10 lakh + 407
50 K – 1 lakh
Bangalore (Kar) 10 lakh + 406
Hyderabad (AP) 10 lakh + 410
Mysore (Kar) 5 lakh – 10 lakh 329
Kozhikode (Ker) 1 lakh – 5 lakh 300
Nellore (AP) 1 lakh – 5 lakh 300
Cheruvannur (Ker) 50 K – 1 lakh 294
South
Edapaddi (TN) 20 K – 50 K 305
20 K - 50 K
Total (31) - - 10,002 Total (31)
13. India Online 2007
7
To check for both the 'regular' as well as 'occasional' usage of the
Internet, at each of the 1,000 households contacted it was queried:
If any member of the household use the Internet 'at all' from
anywhere (home or any location outside)? And
If any member of the household use the Internet ‘at least once a
month’ from anywhere (home or any location outside)?
Some further questions related to the specifics of demographic profile
of the head of the household, their knowledge of English, computer
usage, and asset ownership of the household were also asked from the
respondent. The usage of computer and Internet was separately
checked for each member of the household from the respondent.
The above information about the head of the household, especially
their education and occupation profile (thereby identifying their socio-
economic or SEC classification) together with the town size class and
region were used to link up to the similar authentic Government of
India data to estimate the Internet user-ship as well as to generate the
appropriate 'multipliers' that were to be applied to the data collected
from the online survey.
The Online Survey
The online survey was used to collect the in-depth information on
internet usage patterns and other media usage patterns among the
various types of net users. This was done through a 'large-scale' online
survey conducted between end-April to mid-May 2007 among the users
of three of the biggest and most generic portals in India, namely Yahoo,
Rediff and Google.
On one end, the email properties of Yahoo, Rediff and Google (Gmail)
were used through online survey campaigns to target the widest
possible base on internet users in a random manner and collect
responses (as these three email portals together cover almost all email
users with a personal email id in the country). At the same time, to
cover for whatever may have got missed out in these survey campaigns
on email portals, a parallel 'contextual search' based survey ad
campaign was run using Google AdSense.
All the survey campaigns were paid for and officially run by these
portals among their users. The overall online survey campaign used a
combination of banner ads, e-mailers and contextual search ads
through these portals.
The online survey was conducted using an e-questionnaire segmented
into three sections. The questionnaire was pre-tested and timed to take
approximately 15-20 minutes for a respondent to complete depending
on the speed of comprehension and answering of the questions. The
questionnaire was structured and designed to reduce the level of
'respondent fatigue' to an extent that was practically possible.
14. IT Professionals on the Net
8
In this year's study, the information area coverage (in the online
questionnaire) was also enhanced and fine tuned somewhat to keep
abreast with the changing and evolving Indian online space:
The net usage behavior and preferences of new phenomena like
blogging, social networking and language content checking were
included.
In terms of capturing website preferences, 6 more online activity
categories were included this year to take their coverage to 21. The
new categories added were instant messaging, real estate, online
info search engine in local languages, astrology, online share
trading and online learning/education.
The question about 'blogging' was fine tuned to segregate usage
behavior between only reading blogs, posting comments on blogs
and having a blog site of one's own.
In the online questionnaire, a response format of 'clicking' a single or
multiple options among the various given options was used for most
questions. For each of these questions it was also possible for a
respondent to answer 'none' or 'any other'. However, wherever the
respondents were asked to give preferences for websites or brand
names, only a text box was provided for them to type the name on
their own (or type 'none' if not applicable). This was done to ensure
that all such recall and actual usage preference responses were
solicited 'unprompted'.
Further, to enlist complete and sincere responses, an incentive of a
significant cash prize was also announced for one selected respondent
to be given at the end of the survey.
Over 26,000 unduplicated and clean responses were collected from the
online survey campaign in about 31/2 weeks time. Of these, all 26,000
responses were complete on user profiles and their net usage behavior
information. Around 14,200 responses were complete in all aspects,
including various online activities undertaken and website preferences.
Thus, the responses from the three sections of the online survey have
different valid sample bases and have been reported accordingly.
All the usable responses after data cleaning were then collated,
crosschecked and processed for tabulation and analysis. While doing the
tabulation, any errors and spelling mistakes in typing of the brand
names, etc. By the respondents were carefully checked and corrected.
Finally, the appropriate weights (multipliers) as derived from the land
survey were incorporated into the usable online survey responses to
make them more 'representative' of the entire urban online population.
Further, for questions that asked for preferred websites names, to
remove the possible 'source' bias towards any specific generic portal
among the three generic portals used, an 'equalization' correction
factor was also incorporated.
15. India Online 2007
9
The net result was the compilation of the latest, highly authentic and
representative database on the Internet habits and website preferences
of online Indians. This database was then used for making 'insightful'
analysis and conclusions as contained in the various reports of the India
Online 2007 study.
Last but not least, in this year's reports we have brought in the
presentation of the 'changes' in the usage behavior and preferences vis-
à-vis the last year. Wherever relevant, these changes have been
presented graphically along with all the current year's data charts,
graphs and tables.
Note - Because of a deeper and more robust coverage of internet usage
among the smaller towns (down to 20,000 population town classes), and
among all the socio-economic classes in this year's land survey, there is
likely to be an element of 'correction' seen in this year's data (as
compared to the previous year's). These corrections are likely to be
more visible in some of the demographic, socio-economic and economic
profile of online Indians. The correction factor may also apply, though
assumedly not to the same degree, to the current year's data on net
usage behavior and website preferences.
16. IT Professionals on the Net
10
Executive Summary
Only 1 in 6 regular online urban Indians is a ‘techie’. Only 1 in 6
internet user (18%) has IT related functional background. In number
terms, it translates into a user base of 4.4 million, making online
‘techies’ only a ‘niche’ online user segment. They form the second
largest functional group of net users following the MARCOM function net
users (19%).
Compared to the last year, there has been a decline of -3% points in the
proportional base of ‘techies’ among the net users.
Online techies are relatively ‘younger’ males with ‘below average’
affluence levels. Online techies are predominantly male and distinctly
‘younger’ than the average net users. Though proportionately more of
them have ‘professional’ educational qualification, their comfort levels
in ‘reading’ in English and their socio-economic profiles are fairly
‘average’. In terms of their affluence levels, they show noticeably
lower ownerships of cars, credit cards and various other household and
financial assets.
At 45% online techies tend to come relatively more from the South
Indian cities.
Expectedly, they are the more ‘experienced’ and relatively
‘heavier’ net users. The internet usage experience of online techies is
noticeably higher (71% of them have more than 2 years of net usage
experience), and compared to the average net users they access the
net relatively more from all the three popular ‘places’ of net access
(home, office and cybercafé). The ‘frequency’ and ‘duration’ of net
usage among online techies is also ‘heavier’ than the overall net users.
They spend a proportionately higher proportion of their ‘computer
usage’ time being online at home than they do at office.
Online techies are the more ‘interactive’ net users. 4 out of top 10
activities that they undertake noticeably more than overall net users
are ‘interactive’ in nature (social networking, instant messaging,
chatting and checking/reading blogs). Being relatively ‘younger’ in age
profile they also job search relatively more, and search for work
related info and educational/learning material more. And being
predominantly male, they undertake stereotypically ‘male’ online
activities relatively more – check sports content and listen to music
online.
Overall, the ‘depth’ of internet use among online techies is not
significantly higher than the average net users. Only a reasonably
higher proportion of them undertake most online activities as compared
to the overall net users. However, they do show a noticeably higher
inclination to participate in blogs (39%) and join online communities
(53%). They also buy online noticeably more (48%) than the average net
users.
17. India Online 2007
11
Google rules the online techies’ online landscape. Google is not only
the most ‘top of mind’ recalled online brand among the online techies
(37%) but also emerges as the most used website among them (40%).
Yahoo follows as the second most salient website (27%) as well as the
second most used website (22%).
The website preferences of online techies for ‘specific’ online activities
(verticals) are fairly distinct compared to the overall net users for 8
online activities - matrimonial search, astrology, online games, online
travel, online news, online financial info, cinema content and mobile
content.
Lastly, online techies are marginally ‘lighter’ users of all offline media,
be it TV, newspapers or radio. Their offline media brand preferences
are highly similar to the overall net users’ preferences.
18. IT Professionals on the Net
12
Key Findings
Only 1 in 6 regular online urban Indians is a ‘techie’
Only about 1 in 6 internet users (18%) have IT or IT-related functional
backgrounds. With this level of proportional share, ‘techies’ form only
a ‘niche’ user segment group among the overall user base of regular
online urban Indians. In number terms, it translates into a user base of
4.4 million online ‘techies’.
Techies form only the second largest ‘broad’ functional group of net
users, with MARCOM function net users forming the largest group of net
users at 19%.
Chart 1: Distribution of net users by their function of occupation
Current Year
14%
29%
18%
19%
10% 11%
0%
20%
40%
60%
All Internet Users
IT/SW MARCOM Finance
Manufacturing Administration & HR Others
Compared to the last year’s proportion of 21%, there has been a decline
of -3% points in the base of ‘techies’ among the net users. In number
terms, it means a marginal decline of 0.2 million online ‘techies’ over
last years’ base of 4.6 million. This decline in the number of online
techies since last year is more likely a technical ‘correction’ (because
of better representation of smaller towns and lower SEC groups in this
years survey compared to the last years survey) than any real ‘de-
growth’ in the techie net user base.
Online techies are relatively ‘younger’ males with ‘average’
socio-economic profiles and ‘below average’ affluence levels
Online techies are predominantly male (87%) and distinctly ‘younger’
than the average net users. While 42% of all net users are below 25
years in age, a much higher proportion of online techies (52%) are
below 25 years in age. Further, in line with their younger age profile, a
marginally lower proportion of them (44%) are ‘chief’ wage earner of
their households.
19. India Online 2007
13
Though proportionately more of them have ‘professional’ educational
qualification than the overall net users (37% as against 25% for all net
users), their comfort levels in ‘reading’ in English is only ‘average’.
Further, at 55% almost the same proportion of online techie come form
SEC ‘A’ and ‘B’ households as the overall net users. In sum, online
techies show fairly ‘average’ socio-economic profiles.
In terms of their income profile, while the same proportion of online
techie (23%) come from households with monthly family incomes of
Rs.30,000 plus as the overall net users, they show noticeably lower
ownership levels of cars, credit cards and various other household and
financial assets. Of the various household assets, they show relatively
higher ownership levels for only computers/laptops (73% as against 67%
for all net users) and Ipods (13% as against 10% for all net users).
Lastly, online techies tend to come relatively more from the South
Indian cities. 45% of them come from the South region (against 40% of
all net users coming from this region).
Table 2: Key demographic and socio-economic profile of online techies
Attribute Online Techies All Internet Users
Sample Base 4,155 25,060
Male users 87% 82%
Users below 25 years age groups 52% 42%
From metro city markets 40% 37%
Users from southern region 45% 40%
User prefer to read in English 40% 41%
Users from ‘professional’ educational stream 37% 25%
User from SEC ‘A’ and ‘B’ 55% 56%
Employed user 64% 62%
User is chief wage earner of the HH 44% 47%
Rs.30,000+ family income 23% 23%
Car ownership in the HH 21% 28%
Credit card ownership in the HH 34% 35%
Computer/laptop owned in the HH 73% 67%
20. IT Professionals on the Net
14
Table 3: Ownership of key household and financial assets among online
techies
Asset Online Techies All Internet Users
Sample Base 4,155 25,060
Home 56% 58%
Color TV 90% 92%
Mobile Phone 89% 90%
Fridge 68% 75%
Washing Machine 51% 57%
Microwave 19% 24%
Air Conditioner 19% 25%
Ipod 13% 10%
Bank Account 79% 82%
Debit Card 52% 52%
Life Insurance 55% 61%
Medical Insurance/CGHS 30% 33%
Fixed Deposits 30% 34%
Mutual Funds 19% 22%
Shares of Companies 16% 20%
Home loan liability 49% 45%
Expectedly, Online Techies are the More ‘Experienced’ and
Relatively ‘Heavier’ Net Users
The internet usage experience of online techies is noticeably higher –
while 63% of all net users have been online for at least 2 years, a
noticeably higher 71% of online techies have that level of net usage
experience. Further, online techies access the net noticeably more
from all the three popular ‘places’ of net access (home, office and
cybercafé) as compared to the average net users. In fact, on an
average, an online techie access the net from 2.1 access points against
the average of 1.9 access points for the overall net users.
The ‘frequency’ and ‘duration’ of net usage among online techies is
also ‘heavier’ than the overall net users. A noticeably higher proportion
of online techies access the net from home at least 5 times a day (32%)
and for more than 2 hours a day (28%). In fact, online techies are
‘heavier’ users of the net per se` be it from office, home, during
weekdays or during weekends.
Further, online techies spend a proportionately higher proportion of
their ‘computer usage’ time being online at home than they do at
office. While 19% of online techies are heavy users of PC from home (5
hours a day or more), a proportionately higher 28% of them are heavy
users of net from home (2 hours a day or more). On the other hand, 65%
of online techies are heavy users of PC from office and a significantly
lower 37% of them are heavy users of net from office.
21. India Online 2007
15
Table 4: Key net usage behavior dynamics of online techies
Attribute Online Techies All Internet Users
Sample Base 4,155 25,060
2 years+ of net usage experience 71% 63%
Users accessing the net from home 62% 59%
Users accessing the net from office 87% 78%
Users accessing the net from cyber cafe 52% 47%
Broadband connection at home 68% 68%
Users accessing net over 5 times a day from
home (of those accessing from home)
32% 24%
Users accessing net over 5 times a day from
office (of those accessing from office)
48% 38%
Heavy users (2 hrs+/day) from home 28% 22%
Heavy users (2 hrs+/day) from office 37% 29%
Average no. of email ids owned 3.3 3
Some other salient points regarding internet access dynamics of online
techies are:
At 68% broadband remains the most widely but as ‘averagely’ used
connection among the online techies as among the overall net
users.
At 3.3 online techies show relatively higher levels of per capita
email id ownerships than overall net users (3.0).
While on one hand online techies complain relatively less about the
‘technical’ irritants of net usage (like slow website opening or
difficulty to connect to the net), they do complain relatively more
about the ‘content’ irritants faced while surfing the net (like
spam/junk mail, virus/spyware and unsolicited ads/pop-ups).
Chart 2: Problems faced by online techies while surfing the net
Current Year
49%
45%
30%
35%
30% 27%
15% 12%
62%59%
49%52%
49%
56%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Online Techie All Internet Users
Slow website opening Virus / spyware
Spam / junk mails Unsolicited ads/pop-ups
Difficult to connect Lack of response to queries
Cumbersome navigation
22. IT Professionals on the Net
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Online Techies are the More ‘Interactive’ Net Users
Online techies undertake ‘interactivity’ and job/profession related
online activities relatively more than the other net users. In fact, 4 out
of top 10 activities that they undertake noticeably more than the
overall net users are ‘interactive’ in nature (social networking, instant
messaging, chatting and checking/reading blogs). Being relatively
‘younger’ in age profile they also job search relatively more, and
search for work related info and educational/learning material
relatively more.
Lastly, being predominantly male, they also undertake the two
stereotypically ‘male’ online activities relatively more – check sports
content and listen to music online.
At the overall level however, the ‘depth’ of internet use among online
techies is not significantly higher than the average net users. Only a
reasonably higher proportion of them undertake most online activities
as compared to the overall net users (maximum is +11% for checking
sports online).
Table 5: Popular online activities techies undertake relatively more and
relatively less
Activity Online Techies All Internet Users
Sample base 2,423 14,253
Undertake relatively more
Check sports 68% 57%
Social networking / communities 54% 44%
Instant messaging 72% 62%
Job search 83% 73%
Educational / learning material 57% 48%
Chatting 69% 59%
Net banking 39% 30%
Music 68% 60%
Search work related info 56% 49%
Check / read blogs 34% 27%
Undertake relatively less
Search for product information 45% 45%
Online stock trading 13% 13%
Emailing 95% 95%
Check health & lifestyle info 29% 30%
Check personal travel related info 24% 26%
Check business travel related info 16% 19%
Screensavers / wallpapers 44% 46%
Check business / financial news 28% 30%
23. India Online 2007
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Online techies not only show a noticeably higher inclination to
participate in blogs (39% as against 30% for all net users), but also for
joining online communities (53% as against 41% for all net users) and
checking local language websites (16% as against 12% for all net users).
Further, against 7% of overall net users owning/running a blog site of
their own, a noticeably higher 10% of online techies own/run a blog
site. And against 12% of all net users commenting on blog posts, 17% of
online techies do so.
Online Techies Make Only Marginally Better Online Consumers
Online techies not only responded marginally more to various online
marketing stimuli than the average net users, but also buy online
noticeably more (48%) than the average net users (43%).
Table 6: Response to online marketing stimuli and online buying
behavior
Online Techies All Internet Users
Participated in an online contest 47% 43%
Clicked a banner ad 50% 47%
Clicked a sponsored search ad 42% 37%
Clicked a product/service e-mailer 15% 14%
Online buyers 48% 43%
Bid/Bought in an online auction 25% 23%
Google Rules the Online Techies’ Online Landscape
Google is not only the most ‘top of mind’ recalled online brand among
the online techies (37%) but also emerges as the most used website
among them (40%). Yahoo follows as the second most salient website
(27%) as well as the second most used website (22%). However, while
Yahoo lags behind Google on salience by a fair distance (11%) it lags
behind Google at a much wider distance (18%) on actual usage.
In contrast, Yahoo is the more salient website at the overall net user
level (30%).
24. IT Professionals on the Net
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Table 7: Most salient and most used websites among online techies
Website Most ‘top of mind’ recalled Website Most ‘used’ Website
Online Techies
All Internet
Users
Online Techies
All Internet
Users
Sample Base 4,066
24,433 2,401 14,075
Google 37% 27% 40% 29%
Yahoo 26% 30% 22% 27%
Rediff 8% 12% 8% 11%
Orkut 4% 5% 7% 8%
Gmail 4% 3% 6% 4%
Hotmail 1% 2% 1% 2%
Indiatimes 1% 1% 0.6% 1%
Wikipedia 0.3% 0.3% 1% 0.6%
Moneycontrol 0.5% 0.4% 0.3% 0.5%
Naukri 0.2% 0.5% 0.5% 0.5%
The website preferences of online techies for ‘specific’ online activities
(verticals) are fairly distinct as compared to the overall net users. Their
website preferences differ for 8 out of the 23 online activities
surveyed, the 8 activities being matrimonial search, astrology, online
games, online travel, online news, online financial info, cinema content
and mobile content.
25. India Online 2007
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Table 8: Most used websites for ‘specific’ online activities among the
online techies
Online Activity Online Techies All Internet Users
Info Search – Local Languages Google, 74% Google, 74%
Info Search – English Google, 84% Google, 75%
Social Networking Orkut, 71% Orkut, 64%
Instant Messaging Yahoo, 59% Yahoo, 63%
Emailing Yahoo, 51% Yahoo, 53%
Dating / Friendship Orkut, 42% Orkut, 36%
Online Shopping Ebay, 36% Ebay, 34%
Online Education Google, 34% Google, 34%
Job Search Naukri, 40% Naukri, 37%
Sports Content Espnstarsports, 35% Espnstarsports, 29%
Matrimonial Search Shaadi, 28% Bharatmatrimony, 29%
Online Share Trading ICICIDirect, 40% ICICIDirect, 36%
Astrology Astrology, 24% Yahoo, 22%
Real Estate Info Google, 19% Google, 17%
Online Music Raaga, 28% Raaga, 22%
Online Games Zapak, 17% Yahoo, 18%
Local language content Google, 9% Google, 12%
Online Travel IRCTC, 18% Makemytrip, 17%
Financial News & Info Moneycontrol, 15% Moneycontrol, Google, 13%
Online News Rediff, NDTV, 12% Yahoo, 14%
Mobile Content Google, 12% Yahoo, 14%
Cinema Content Google, 8% Yahoo, 11%
Blog sites Google, 20% Google, 21%
26. IT Professionals on the Net
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Some Highlight Points on the Media Habits of Online Techies
Are:
Online techies are marginally ‘lighter’ users of all offline media, be
it TV, newspapers or radio.
Star Plus is the most, and an almost equally popular TV channel
among online techies as with the overall net users. It is the same
story for other mediums as well – Times of India is most popular
newspaper, India Today is the most popular magazine, and Radio
Mirchi is the most popular radio channel among the online techies.
Among the IT focus magazine, Digit is the most popular among
online techies (9%). It is followed by Chip (3%), PC Quest (2%),
Computer Today (1%), Data Quest (0.7%) and PC World (0.4%).
Like overall net users, Sony is the most ‘top of mind’ recalled brand
among online techies as well (8%).
28. IT Professionals on the Net
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Current Year
11%
13%
6%
2%
31%
36%
0%
20%
40%
All Users
Age 13-18 years Age 19-24 years
Age 25-35 years Age 36-45 years
Age 46-55 years Above Age 55 years
Change from PY
-5% -4%
1% 2% 1%
5%
-10%
-5%
0%
5%
10%
Reading the Graphs
& Tables
Chart: Age group distribution
Base: 25,060
Base: 25,060(CY), 20,268(PY)
Current
year base
Same series color as the current year
graph, showing an increase of 5% in the
proportion of 13 to 18 years age group
Change from
previous year
Previous
year base
Current
year base
29. India Online 2007
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Table: Preferred websites - emailing
Website IT Professional All Internet Users
Yahoo 49% 55%
% Change 10% 18%
Gmail 21% 21%
% Change 6% 8%
Rediff 20% 17%
% Change 1% -3.5%
Hotmail 6% 4%
% Change -5.5% -10.8%
Indiatimes 0.8% 0.7%
% Change -9.4% -8.9%
Sify 1% 0.8%
% Change -3.5% -1.8%
Sancharnet/BSNL* 1% 0.8%
% Change
VSNL 0.4% 0.4%
% Change -0.5% -0.9%
AOL* 0.1% 0.0%
% Change
Lycos* 0.2% 0.2%
% Change
Base: 9,404(CY), 6,100(PY)
Previous
year base
Current
year base
A blank in this row
means that this
attribute was not
included in last
year’s survey &
therefore no
“change over
previous year” can
be presented
Fields marked
with * means
that the field
is added this
year hence
not
comparable
to last year
Change
from
previous
year
figures
30. IT Professionals on the Net
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Demographic Profile
Chart 3: Gender breakup
Base: 25,060
Chart 1: Gender breakup
Base: 25,060(CY), 20,268(PY)
Current Year
87%
82%
13%
18%
0%
20%
40%
60%
80%
100%
IT Professional All Internet Users
Male Female
Change from PY
-6%
6%
5%
-5%
-10%
-5%
0%
5%
10%
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Chart 4: Age group distribution
Base: 25,060
Chart 2: Age group distribution
Base: 25,060(CY), 20,268(PY)
Current Year
11%
7%
45%
31%
40%
36%
0%
10%
20%
30%
40%
50%
IT Professional All Internet Users
13-18 yrs 19-24 yrs 25-35 yrs
Change from PY
-5%
5%4%
-1%
-4%
-2%
-6%
-4%
-2%
0%
2%
4%
6%
32. IT Professionals on the Net
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Chart 5: City class - by population size
Base: 25,060
Current Year
15% 15%
26%
29%
12%11%
45%47%
0%
10%
20%
30%
40%
50%
IT Professional All Internet Users
Up to 1 Lakh 1-5 Lakhs 5-10 Lakhs Above 10 Lakhs
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Chart 6: City class - by market size
Base: 25,060
Chart 3: City class - by market size
Base: 25,060(CY), 20,268(PY)
Current Year
16%
37%
40%
14%
11%
16%
33%33%
0%
10%
20%
30%
40%
50%
IT Professional All Internet Users
Metro Urban uptowns Emerging Towns Others
Change from PY
-5% -4%
-12% -11%
-5% -2%
21%
17%
-20%
-10%
0%
10%
20%
30%
34. IT Professionals on the Net
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Table 9: Top 10 cities
Cities IT Professional All Internet Users
Delhi 12% 12%
% Change 8% -3.3%
Mumbai 8% 10%
% Change -1.5% -5.0%
Bangalore 9% 6%
% Change -1.2% -3.0%
Hyderabad 7% 5%
% Change -0.2% -1.5%
Chennai 5% 4%
% Change -1.2% -1.4%
Kolkata 3% 3%
% Change -0.7% -2.2%
Pune 3% 3%
% Change -1.2% -1.4%
Ahmadabad 2% 2%
% Change 0.3% -0.6%
Lucknow 1% 1%
% Change -0.9% -0.2%
Coimbatore 1% 0.9%
% Change -1.0% -0.4%
Base: 25,060(CY), 20,268(PY)
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Chart 7: Region-wise break-ups
Base: 25,060
Chart 4: Region-wise break-ups
Base: 25,060(CY), 20,268(PY)
Current Year
22%22%
12%
9%
40%
45%
23%
26%
0%
10%
20%
30%
40%
50%
IT Professional All Internet Users
North East South West
Change from PY
-13%
-7%
-4%
1%
5% 6% 6%5%
-15%
-10%
-5%
0%
5%
10%
36. IT Professionals on the Net
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Table 10: Preferred language of reading
Language IT Professional All Internet Users
English 40% 41%
% Change -25.0% -18.3%
Hindi 18% 19%
% Change 4% 0.7%
Telugu 8% 6%
% Change 6% 4%
Tamil 7% 6%
% Change 4% 3%
Marathi 5% 5%
% Change 2% 1%
Malayalam 3% 4%
% Change -0.8% 0.4%
Gujarati 3% 4%
% Change 2% 2%
Kannada 3% 4%
% Change 1% 2%
Bengali 3% 3%
% Change 1% 2%
Oriya 3% 3%
% Change 2% 2%
Base: 25,060(CY), 20,268(PY)
37. India Online 2007
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Socio-Economic
Profile
Chart 8: Socio economic classification
Base: 25,060
Chart 5: Socio economic classification
Base: 25,060(CY), 20,268(PY)
Current Year
24%24%
31% 32%
23%
26%
14%13%
7%
6%
0%
10%
20%
30%
40%
IT Professional All Internet Users
SEC A SEC B SEC C SEC D SEC E
Change from PY
-5%
0.0%
-7%
-5%
1% 0.3%
7%
4%
2%2%
-8%
-6%
-4%
-2%
0%
2%
4%
6%
8%
38. IT Professionals on the Net
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Chart 9: Highest educational qualification
Base: 25,060
Chart 6: Highest educational qualification
Base: 25,060(CY), 20,268(PY)
Current Year
23%24%
31%
39%
37%
25%
0%
20%
40%
IT Professional All Internet Users
College but not Graduate
Graduate & above - general stream
Graduate & above - professional stream
Change from PY
5%
-3%
6%
4%3%
-4%
-8%
-6%
-4%
-2%
0%
2%
4%
6%
8%
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Chart 10: Occupational break up
Base: 25,060
Chart 7: Occupational break up
Base: 25,060(CY), 20,268(PY)
Current Year
38%
62%
0%
20%
40%
60%
80%
All Internet Users
Unemployed Employed
Change from PY
-1%
1%
-2%
0%
2%
40. IT Professionals on the Net
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Chart 11: Function / field of occupation
Base: 15,219
Current Year
18%
19%
10%
54%
0%
20%
40%
60%
All Internet Users
IT/SW MARCOM Finance Others
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Chart 12: Head of the household
Base: 25,060
Chart 8: Head of the household
Base: 25,060(CY), 20,268(PY)
Current Year
44%
47%
53%56%
0%
20%
40%
60%
IT Professional All Internet Users
Head of the household Not head of the household
Change from PY
-25%
23%25%
-23%-30%
-20%
-10%
0%
10%
20%
30%
42. IT Professionals on the Net
36
Economic Profile
Chart 13: Monthly family income
Base: 21,343
Chart 9: Monthly family income
Base: 21,343(CY), 20,268(PY)
Current Year
13%
38%38%
39% 39%
10%10%
13%
0%
20%
40%
IT Professional All Internet Users
Up to Rs. 10K 10-30K 30-50K Above 50K
Change from PY
-13%
-15%
5%4% 4%5%
6% 5%
-20%
-10%
0%
10%
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Chart 14: Most expensive vehicle owned by the household
Base: 25,060
Chart 10: Most expensive vehicle owned by the household
Base: 25,060(CY), 20,268(PY)
Current Year
44%
48%
21%
28%
9%9%
0%
10%
20%
30%
40%
50%
IT Professional All Internet Users
2 Wheeler 4 Wheeler Others
Change from PY
3%
1% 0.4%
5%
7%
5%
0%
2%
4%
6%
8%
44. IT Professionals on the Net
38
Chart 15: Ownership of credit cards (individually)
Base: 25,060
Chart 11: Ownership of credit cards (individually)
Base: 25,060(CY), 20,268(PY)
Current Year
67%
32% 34%
68%
0%
10%
20%
30%
40%
50%
60%
70%
IT Professional All Internet Users
Don't own a credit card Own a Credit Card
Change from PY
7%
-7%-8%
7%
-10%
-5%
0%
5%
10%
46. IT Professionals on the Net
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Asset IT Professional All Internet Users
IPod* 13% 10%
% Change
Chit Fund Deposits 6% 7%
% Change -14.3% -19.9%
Base: 25,060(CY), 20,268(PY)
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Chart 16: Current loan liabilities
Base: 25,060
Current Year
45%
49%
12%
10%
13%15%
0%
10%
20%
30%
40%
50%
IT Professional All Internet Users
Home Loan Car Loan Two - wheeler Loan
48. IT Professionals on the Net
42
Net Usage Status
Chart 17: Years of experience in using internet
Base: 25,060
Chart 12: Years of experience in using internet
Base: 25,060(CY), 20,268(PY)
Current Year
15%
20%
14% 16%
63%
71%
0%
20%
40%
60%
80%
IT Professional All Internet Users
Up to 1 year 1-2 years More than 2 years
Change from PY
-2%
-1%
1%
0.3%
-1%
1%
-2%
0%
2%
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Chart 18: Place of accessing internet
Base: 25,060
Chart 13: Place of accessing internet
Base: 25,060(CY), 20,268(PY)
Current Year
59%
62%
87%
78%
47%
52%
0%
20%
40%
60%
80%
100%
IT Professional All Internet Users
Home Place of work (office / school / college) Cyber cafe
Change from PY
19%
20%
13%
10%
1%3%
0%
10%
20%
30%
50. IT Professionals on the Net
44
Change from PY
-14%
-11%
16% 16%
2%
-1%
-20%
-10%
0%
10%
20%
Chart 19: Type of internet connection at home
Base: 14,856
Chart 14: Type of internet connection at home
Base: 14,856(CY), 13,221(PY)
Current Year
15% 16%
68%68%
11% 10%
0%
20%
40%
60%
80%
IT Professional All Internet Users
Regular Dial Up Broadband Others
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Chart 20: Type of internet connection at office
Base: 19,740
Chart 15: Type of internet connection at office
Base: 19,740(CY), 14,655(PY)
Current Year
5% 7%
61%59%
19%
13%
0%
10%
20%
30%
40%
50%
60%
70%
IT Professional All Internet Users
Regular Dial Up Broadband Others
Change from PY
-6%
-4%
-5%
-1%
14%
3%
-10%
-5%
0%
5%
10%
15%
52. IT Professionals on the Net
46
Chart 21: Service provider subscribed to at home
Base: 14,856
Chart 16: Service provider subscribed to at home
Base: 14,856(CY), 13,554(PY)
Current Year
34% 35%
20%
17%
10% 10%
0%
10%
20%
30%
40%
IT Professional All Internet Users
BSNL/Sancharnet Airtel/Bharti VSNL / Tata
Change from PY
-3%
-10%
7%
9%
-2%
-4%
-10%
-5%
0%
5%
10%
53. India Online 2007
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Chart 22: Service provider subscribed to at office
Base: 19,740
Chart 17: Service provider subscribed to at office
Base: 19,740(CY), 14,721(PY)
Current Year
25%
28%
17%
15%
11%12%
0%
10%
20%
30%
IT Professional All Internet Users
BSNL/Sancharnet Airtel/Bharti VSNL / Tata
Change from PY
2%
-0.2%
3%4%
-10%
-7%
-10%
-5%
0%
5%
54. IT Professionals on the Net
48
Net Usage Dynamics
Chart 23: Frequency of accessing internet from home
Base: 14,231
Chart 18: Frequency of accessing internet from home
Base: 14,231(CY), 13,649(PY)
Current Year
84%85%
14%13%
2% 2%
0%
20%
40%
60%
80%
100%
IT Professional All Internet Users
At least once daily Weekly, but not daily
Less than once a week
Change from PY
9%8%
-8%
5%
-1% -1%
-10%
-5%
0%
5%
10%
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Chart 24: Frequency of accessing internet from office
Base: 17,617
Chart 19: Frequency of accessing internet from office
Base: 17,617(CY), 14,274(PY)
Change from PY
-5%
-2%
9%
2%
-0.3%
-0.1%
-10%
-5%
0%
5%
10%
Current Year
11% 11%
86%87%
3%2%
0%
20%
40%
60%
80%
100%
IT Professional All Internet Users
At least once daily Weekly, but not daily
Less than once a week
56. IT Professionals on the Net
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Chart 25: Time of the day accessing internet from home
Base: 13,905
Chart 20: Time of the day accessing internet from home
Base: 13,905(CY), 13,345(PY)
Change from PY
2%
1%
-7%
-2%
2%
1%
-8%
-6%
-4%
-2%
0%
2%
4%
Current Year
9%10%
20%
18%
54%54%
0%
20%
40%
60%
IT Professional All Internet Users
Midnight to 9.00 AM 9.00 AM-6.00 PM
6.00 PM - 12.00 Midnight
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Chart 26: Time of the day accessing internet from office
Base: 17,680
Chart 21: Time of the day accessing internet from office
Base: 17,680(CY), 14,305(PY)
Current Year
11% 12%
4% 4%
55%
49%
0%
20%
40%
60%
IT Professional All Internet Users
Midnight to 9.00 AM 9.00 AM-6.00 PM
6.00 PM - 12.00 Midnight
Change from PY
-0.4%
0.2%
-3%
-2%
0.0%
-1%
-4%
-3%
-2%
-1%
0%
1%
58. IT Professionals on the Net
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Chart 27: Duration of PC usage from home
Base: 15,214
Chart 22: Duration of PC usage from home
Base: 15,214(CY), 15,041(PY)
Current Year
56%
67%
22%
25%
19%
12%
0%
20%
40%
60%
80%
IT Professional All Internet Users
Light users Medium users Heavy users
Change from PY
2%
4%
-2%
-5%
0.6%
1%
-5%
0%
5%
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Chart 28: Duration of internet usage from home
Base: 14,015
Chart 23: Duration of internet usage from home
Base: 14,015(CY), 13,248(PY)
Current Year
43%
36% 35%
36%
28%
22%
0%
10%
20%
30%
40%
50%
IT Professional All Internet Users
Light users Medium users Heavy users
Change from PY
-3%
-6%
-2%
0.8%
5%5%
-10%
-5%
0%
5%
60. IT Professionals on the Net
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Chart 29: Duration of PC usage from office
Base: 18,200
Chart 24: Duration of PC usage from office
Base: 18,200(CY), 14,961(PY)
Current Year
19%
31%
22%
16%
47%
65%
0%
10%
20%
30%
40%
50%
60%
70%
IT Professional All Internet Users
Light users Medium users Heavy users
Change from PY
5%
2%
-3%
1%
-2%
-3%-4%
-2%
0%
2%
4%
6%
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Chart 30: Duration of internet usage from office
Base: 17,100
Chart 25: Duration of internet usage from office
Base: 17,100(CY), 13,934(PY)
Current Year
37%
29%
45%
26% 26%
37%
0%
10%
20%
30%
40%
50%
IT Professional All Internet Users
Light users Medium users Heavy users
Change from PY
1%
4%
-3%
-4%
1%
2%
-5%
0%
5%
62. IT Professionals on the Net
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Chart 31: Time spent by internet users on watching TV
Base: 21,962
Chart 26: Time spent by internet users on watching TV
Base: 21,962(CY), 18,555(PY)
Current Year
44%
47%
43%
41%
12% 13%
0%
10%
20%
30%
40%
50%
IT Professional All Internet Users
Light users Medium users Heavy users
Change from PY
5%
4%
-2% -2% -3%-2%
-5%
0%
5%
63. India Online 2007
57
Chart 32: Time spent by internet users on reading newspaper
Base: 22,501
Chart 27: Time spent by internet users on reading newspaper
Base: 22,501(CY), 19,016(PY)
Current Year
48%
46%
41%40%
14%12%
0%
10%
20%
30%
40%
50%
IT Professional All Internet Users
Light users Medium users Heavy users
Change from PY
-38%-40%
26%29%
12% 12%
-40%
-20%
0%
20%
40%
64. IT Professionals on the Net
58
Chart 33: Time spent by internet users on listening to radio
Base: 14,785
Chart 28: Time spent by internet users on listening to radio
Base: 14,785(CY), 12,358(PY)
Current Year
20% 19%
72%71%
10%9%
0%
20%
40%
60%
80%
IT Professional All Internet Users
Light users Medium users Heavy users
Change from PY
3%
-1%
-2%
-3%
0.1%
2%
-5%
0%
5%
65. India Online 2007
59
Preferred Net
Activities
Table 12: Popularity of various internet activities
Activity IT Professional All Internet Users
Emailing 95% 95%
% Change 6% 0.8%
Job Search 83% 73%
% Change 21% 20%
Instant messaging 72% 62%
% Change 29% 25%
Check news 68% 61%
% Change 14% 8%
Music 68% 60%
% Change 16% 12%
Chatting 69% 59%
% Change 10% 10%
Check Sports 68% 57%
% Change 29% 22%
E-greetings 62% 57%
% Change -0.3% 0.5%
Online games 60% 54%
% Change 26% 20%
Dating/Friendship 57% 51%
% Change 26% 25%
Mobile contents (ring tones / games, etc.)* 57% 50%
% Change
Search work related info 56% 49%
% Change -6.5% -0.5%
Matrimonial search 54% 48%
% Change 39% 33%
Educational / Learning material 57% 48%
% Change -9.0% -4.0%
Screensavers/wallpapers 44% 46%
% Change -4.5% -2.1%
Astrology 50% 46%
% Change 18% 12%
Check financial info 50% 45%
% Change 37% 30%
Search for product information 45% 45%
% Change 10% 8%
Social networking / Communities* 54% 44%
% Change
66. IT Professionals on the Net
60
Activity IT Professional All Internet Users
Buy online 48% 43%
% Change 17% 15%
Share pictures 44% 40%
% Change 6% 7%
Check real estate info 42% 37%
% Change 33% 26%
Check hobby related info 32% 32%
% Change 21% 21%
Check business/Financial news* 28% 30%
% Change
Net banking 39% 30%
% Change 7% 7%
Check health & lifestyle info 29% 30%
% Change -1.8% -2.0%
Movies* 36% 29%
% Change
Check cinema content 31% 28%
% Change 5% 3%
Check / read blogs* 34% 27%
% Change
Business/professional networking 31% 26%
% Change 31% 12%
Check personal travel related info 24% 26%
% Change 8% 9%
Buy other than travel products* 29% 24%
% Change
Look for Seminar/workshops 29% 24%
% Change 6% 5%
Online bill payment 29% 22%
% Change 10% 8%
Check business travel related info 16% 19%
% Change 3% 19%
Adult content 20% 18%
% Change 8% 7%
Online stock trading 13% 13%
% Change -0.2% -0.4%
Net telephony 17% 13%
% Change 3% 3%
Comment on blog post* 17% 12%
% Change
Local language website usage 16% 12%
% Change 16% -30.3%
Have a blog site of own* 10% 7%
% Change
Base: 14,253(CY), 17,277 (PY)
67. India Online 2007
61
Chart 34: Professional activities
Base: 14,253
Chart 29: Professional activities
Base: 14,253(CY), 17,277(PY)
Current Year
83%87%
73%
83%
62%
72%
0%
20%
40%
60%
80%
100%
IT Professional All Internet Users
Emailing - work related Job Search Instant messaging
`
Change from PY
-3%-2%
21% 20%
29%
25%
-10%
0%
10%
20%
30%
68. IT Professionals on the Net
62
Chart 35: Personal activities
Base: 14,253
Chart 30: Personal activities
Base: 14,253(CY), 17,277(PY)
Current Year
89%90%
68%
61% 59%
69%
0%
20%
40%
60%
80%
100%
IT Professional All Internet Users
Emailing - personal Check news Chatting
Change from PY
-3%
0.8%
14%
8%
10% 10%
-10%
0%
10%
20%
69. India Online 2007
63
Chart 36: Downloading activities
Base: 14,253
Chart 31: Downloading activities
Base: 14,253(CY), 17,271(PY)
Current Year
60%
68%
54%
60%
50%
57%
0%
10%
20%
30%
40%
50%
60%
70%
IT Professional All Internet Users
Music Online games Mobile contents (ring tones/games)
Change from PY
16%
12%
20%
26%
22%
27%
0%
10%
20%
30%
70. IT Professionals on the Net
64
Chart 37: E-commerce related activities
Base: 14,043
Chart 32: E-commerce related activities
Base: 14,043(CY), 17,263(PY)
Current Year
58%
63%
46%
51%
37%
42%
0%
20%
40%
60%
80%
IT Professional All Internet Users
E-greetings Check financial info Check real estate info
Change from PY
1%0.4%
30%
38%
27%
33%
0%
10%
20%
30%
40%
71. India Online 2007
65
Change from PY
15%
17%
-15%-17%-20%
-10%
0%
10%
20%
Chart 38: Online shopping
Base: 14,253
Chart 33: Online shopping
Base: 14,253(CY), 20,268(PY)
Current Year
43%
48%
57%
52%
0%
10%
20%
30%
40%
50%
60%
70%
IT Professional All Internet Users
Buyers Non-Buyers
72. IT Professionals on the Net
66
Change from PY
-9% -12%
6%
13%
0.1%
2%
-15%
-10%
-5%
0%
5%
10%
15%
Chart 39: Response to online marketing stimulus
Base: 10,888
Chart 34: Response to online marketing stimulus
Base: 10,888(CY), 15,715(PY)
Current Year
50%
47%47%
43%42%
37%
0%
10%
20%
30%
40%
50%
IT Professional All Internet Users
Clicked a banner ad
Participated in an online contest
Clicked a sponsored search ad
73. India Online 2007
67
Chart 40: Blogging activities
Base: 14,253
Current Year
17%
12%
27%
34%
7%
10%
70%
61%
0%
20%
40%
60%
80%
IT Professional All Internet Users
Check/read blogs Comment on blog post
Have a blog site of own None of the above
74. IT Professionals on the Net
68
Chart 41: Member of an online community
Base: 14,253
Current Year
59%
48%
53%
41%
0%
20%
40%
60%
IT Professional All Internet Users
Not a member of any online community
Member of an online community
75. India Online 2007
69
Table 13: Membership by type of online community
Membership IT Professional All Internet Users
Not a member of any online community 48% 59%
Alumni & Schools 8% 7%
Computers & Internet 14% 5%
Romance & Relationships 4% 5%
Business / Professional community 4% 3%
Music 3% 3%
Schools & Education 3% 3%
Games 2% 2%
Individuals 3% 2%
Arts & Entertainment 2% 2%
Base: 14,253
76. IT Professionals on the Net
70
Table 14: Most used local language websites (other than English)
Language IT Professional All Internet Users
Tamil 16% 19%
Hindi 21% 19%
Malayalam 13% 15%
Telugu 16% 13%
Marathi 11% 12%
Kannada 8% 6%
Bengali 7% 6%
Gujarati 3% 3%
Oriya 0.9% 1%
Konkani 0.0% 0.8%
Base: 1,388
77. India Online 2007
71
Table 15: Online activities desired in other languages
Activity IT Professional All Internet Users
Email 63% 61%
Chatting 52% 46%
Entertainment 46% 45%
Search information 35% 33%
Online news 35% 31%
Online learning / education 33% 31%
Astrology 23% 23%
Online shopping 18% 18%
Travel related information 15% 16%
Matrimony 15% 13%
Blog 15% 12%
Not Interested 17% 21%
Base: 14,253
78. IT Professionals on the Net
72
Chart 42: Problems faced while surfing the internet
Base: 14,252
Current Year
62%59%
49%52%
49%
56%
0%
10%
20%
30%
40%
50%
60%
70%
IT Professional All Internet Users
Slow website opening Virus / spyware Spam / junk mails
79. India Online 2007
73
Chart 43: Number of email accounts and average per capita email ids
Base: 25,060
Chart 35: Number of email accounts and average per capita email ids
Base: 25,060(CY), 20,268(PY)
Current Year
15%
8%
28%
23%
27%
29%
0%
10%
20%
30%
IT Professional All Internet Users
One Two Three
Change from PY
-19%-19%
3%
3%
6% 5%
-20%
-15%
-10%
-5%
0%
5%
10%
80. IT Professionals on the Net
74
Most Used Websites
Table 16: Top of mind unaided recall - all websites
Website IT Professional All Internet Users
Yahoo 26% 30%
% Change -6.9% -5.2%
Google 37% 27%
% Change 8% 7%
Rediff 8% 12%
% Change -5.2% -3.0%
Orkut 4% 5%
% Change 4% 4%
Gmail* 4% 3%
% Change
Hotmail 1% 2%
% Change -2.9% -3.0%
Indiatimes 0.8% 1%
% Change -3.5% -4.3%
Contest2win* 0.1% 0.6%
% Change
MSN 0.3% 0.5%
% Change -3.5% -3.4%
Naukri 0.2% 0.5%
% Change -0.7% -0.4%
Base: 24,433(CY), 20,173(PY)
81. India Online 2007
75
Table 17: Most used website - all websites
Website IT Professional All Internet Users
Google 40% 29%
Yahoo 22% 27%
Rediff 8% 11%
Orkut 7% 8%
Gmail 6% 4%
Hotmail 0.8% 2%
Indiatimes 0.6% 0.9%
Wikipedia 1% 0.6%
Moneycontrol 0.3% 0.5%
Naukri 0.5% 0.5%
Base: 14,075
83. India Online 2007
77
Chart 44: Multiple user shares of email websites
Base: 25,060
Chart 36: Multiple user shares of email websites
Base: 25,060(CY), 20,268(PY)
Current Year
89%91%
59%
76%
57%59%
0%
20%
40%
60%
80%
100%
IT Professional All Internet Users
Yahoo Gmail Rediff
Change from PY
5%
1%
25%
23%
0.5%
-4%-10%
0%
10%
20%
30%
84. IT Professionals on the Net
78
Table 19: Info search (English)
Website IT Professional All Internet Users
Google 84% 75%
Yahoo 4% 10%
English 2% 3%
Rediff 2% 2%
Wikipedia 2% 1%
Dictionary 2% 1%
MSN 0.1% 1%
Indiatimes 0.2% 0.5%
BBC 0.1% 0.5%
Sify 0.4% 0.4%
Base: 7,874
85. India Online 2007
79
Table 20: Info search (local language)
Website IT Professional All Internet Users
Google 74% 74%
Manoramaonline 0.9% 2%
Guruji 3% 2%
Webduniya 0.7% 1%
Kerala 0.6% 1%
Khoj 1% 1%
Eenadu 0.9% 1%
Webulagam 1% 0.8%
MSN 0.1% 0.8%
Chennaionline 0.6% 0.6%
Base: 3,853
86. IT Professionals on the Net
80
Table 21: Job search
Base: 10,387(CY), 12,610(PY)
Website IT Professional All Internet Users
Naukri 40% 37%
% Change -14.0% -12.5%
Monster 28% 27%
% Change 11% 8%
Timesjobs 12% 14%
% Change 6% 7%
Google 4% 5%
% Change 2% 3%
Yahoo 1% 3%
% Change -1.6% 0.3%
Rediff 1% 2%
% Change -2.9% -2.1%
Freshersworld 3% 2%
% Change 2% 0.3%
Indiatimes 1% 1%
% Change -0.7% -0.3%
Jobs 0.9% 1%
% Change 0.2% 0.3%
Jobsahead 1% 1%
% Change -3.1% -4.0%
90. IT Professionals on the Net
84
Table 25: Financial news & info (rates, quotes, etc.)
Website IT Professional All Internet Users
Moneycontrol/CNBC 15% 13%
% Change 5% 0.8%
Google 14% 13%
% Change 6% 3%
Yahoo 7% 12%
% Change -1.9% 1%
ICICI Direct/ICICI Bank 8% 7%
% Change 5% -2.7%
Rediff 6% 6%
% Change -4.4% -1.8%
Sharekhan 6% 4%
% Change -0.4% -0.8%
NDTV/NDTVprofit 6% 4%
% Change 5% 4%
Indiatimes 3% 4%
% Change -2.7% -1.3%
Economictimes 4% 3%
% Change 1% 0.8%
Stockmarket* 2% 2%
% Change
Base: 6,207(CY), 7,146(PY)
91. India Online 2007
85
Table 26: Online share trading
Website IT Professional All Internet Users
ICICI Direct 40% 36%
Sherkhan 24% 22%
Indiabulls 7% 7%
Kotaksecurities 2% 4%
Religare 0.3% 4%
5Paisa 2% 3%
BSE 3% 3%
NSE 2% 3%
Geojit 4% 2%
hdfcsec 3% 2%
Base: 1,558
92. IT Professionals on the Net
86
Table 27: Real estate info
Website IT Professional All Internet Users
Google 19% 17%
Magicbricks 16% 14%
Yahoo 9% 14%
99acres 10% 10%
Realestates 12% 10%
Rediff 5% 7%
Indiaproperty 5% 5%
Property 5% 3%
Indiatimes 1% 2%
Sify 0.9% 1%
Base: 5,129
102. IT Professionals on the Net
96
Table 37: Most used local language websites (other than English)
Website IT Professional All Internet Users
Google 9% 12%
Yahoo 2% 8%
Malayalamanorama 9% 7%
Eeandu 8% 7%
Thinamalar 4% 5%
Webduniya 4% 4%
Marathiworld 4% 4%
Webulagam 2% 4%
Tamilcinema 2% 4%
Keralakaumudi 0.7% 3%
Base: 1,388
103. India Online 2007
97
Table 38: Preferred blog sites
Website IT Professional All Internet Users
Google 20% 21%
Yahoo 15% 18%
Blogger 13% 11%
Blogspot 20% 11%
Rediff 9% 10%
Ibibo 9% 10%
Tagged 0.1% 2%
Debonairblog 4% 2%
Hi5 2% 2%
Indiatimes 2% 2%
Base: 1,853
104. IT Professionals on the Net
98
Table 39: Preferred astrology website
Website IT Professional All Internet Users
Yahoo 16% 22%
Astrology 24% 19%
Google 13% 11%
Rediff 10% 9%
Indiatimes astrospeak 6% 8%
Sarafreder 2% 3%
Sify 2% 3%
MSN 3% 3%
Horoscope 2% 2%
Astrolife 1% 2%
Base: 6,357
105. India Online 2007
99
Table 40: Preferred online learning / education website
Website IT Professional All Internet Users
Google 34% 34%
Yahoo 5% 10%
Wikipedia 6% 6%
Rediff 3% 4%
Education 2% 3%
W3schools 6% 2%
IGNOU 0.9% 1%
Onlinelearning 1% 1%
Ebizel 2% 1%
Indiatimes 0.3% 1%
Base: 6,571
106. IT Professionals on the Net
100
Most Used Offline
Media Brands
Table 41: Favorite TV channels
TV Channel IT Professional All Internet Users
Star Plus 11% 13%
% Change 5% 3%
Discovery 8% 7%
% Change -0.6% 0.5%
NDTV 5% 5%
% Change 1% 0.6%
Aajtak 5% 5%
% Change 0.1% -0.3%
Sun TV 4% 5%
% Change -0.7% 0.8%
HBO 5% 4%
% Change 0.8% 0.1%
Sony 2% 4%
% Change -1.6% -1.0%
Star Movies 3% 3%
% Change 0.2% 0.7%
Zee TV 2% 3%
% Change -0.3% -0.2%
M TV 2% 3%
% Change -0.3% 0.6%
Base: 12,631(CY), 15,321(PY)
107. India Online 2007
101
Table 42: Favorite newspapers
Newspaper IT Professional All Internet Users
The Times of India 39% 35%
% Change -1.8% 0.0%
The Hindu 21% 18%
% Change 5% 5%
The Hindustan Times 5% 6%
% Change -1.0% -2.2%
Deccan Chronicle 4% 4%
% Change 3% 3%
Eenadu 4% 3%
% Change 1% 0.3%
Indian Express 1% 3%
% Change -2.3% -0.4%
The Telegraph 1% 3%
% Change 0.2% 0.5%
Dainik Bhaskar 2% 2%
% Change -0.4% -0.5%
The Economic Times 1% 2%
% Change 0.6% 0.4%
Dainik Jagran 2% 2%
% Change -1.5% -1.8%
Base: 12,762(CY), 14,555(PY)
108. IT Professionals on the Net
102
Table 43: Favorite magazines
Magazine IT Professional All Internet Users
India Today 22% 23%
% Change -1.5% -5.5%
Reader's Digest 6% 7%
% Change -0.3% -1.0%
The Week 5% 5%
% Change 0.1% 1%
Sports Star 5% 4%
% Change 3% 1%
Femina 3% 4%
% Change 0.1% -0.8%
Outlook 4% 4%
% Change -1.7% -1.8%
Digit 9% 3%
% Change -0.4% 0.5%
Film Fare 3% 3%
% Change 0.4% 1%
Women's Era 0.8% 2%
% Change -1.2% 0.5%
Business World 2% 2%
% Change 0.9% 0.6%
Base: 10,515(CY), 12,980(PY)
109. India Online 2007
103
Table 44: Favorite radio channels
Radio Channel IT Professional All Internet Users
Radio Mirchi 43% 38%
% Change 18% 12%
Red FM 11% 12%
% Change -0.3% 3%
AIR 9% 11%
% Change -4.3% -2.5%
Radio City 12% 11%
% Change 0.0% -1.2%
Suryan FM 7% 6%
% Change 3% 3%
Big FM* 6% 5%
% Change
AIR FM GOLD 3% 5%
% Change -24.0% -24.2%
AIR FM RAINBOW 2% 4%
% Change -0.5% 2%
Fever FM* 2% 3%
% Change
World Space 1% 2%
% Change 0.8% 0.9%
Base: 8,205(CY), 12,246(PY)
110. IT Professionals on the Net
104
Offline Brands
Recalled
Table 45: TOM recall for brands
Base: 24,288(CY), 20,142(PY)
TOM Brand IT Professional All Internet Users
Sony 7% 8%
% Change 2% 3%
Nokia 7% 7%
% Change -0.6% 0.9%
Tata 5% 5%
% Change -0.9% -2.0%
LG 4% 4%
% Change -0.2% -0.1%
Colgate 2% 3%
% Change -0.3% 1%
Reliance 2% 3%
% Change -0.1% -0.2%
HLL 2% 3%
% Change 1% 1%
Nike 3% 3%
% Change -1.2% -0.4%
Samsung 3% 2%
% Change 0.0% 0.0%
Pepsi 2% 2%
% Change -0.7% -0.9%
112. 106
Table 1: Gender breakup
Gender IT Professional All Internet Users
Sample Base 4,155 25,060
Male 87% 82%
Female 13% 18%
Table 2: Age group distribution
Age Group IT Professional All Internet Users
Sample Base 4,155 25,060
13-18 yrs 7% 11%
19-24 yrs 45% 31%
25-35 yrs 40% 36%
36-45 yrs 6% 13%
46-55 yrs 1% 6%
Above 55 yrs 0.2% 2%
113. 107
Table 3: City class - by population size
City Class IT Professional All Internet Users
Sample Base 4,155 25,060
Up to 1 Lakh 11% 12%
1-5 Lakhs 15% 15%
5-10 Lakhs 26% 29%
Above 10 Lakhs 47% 45%
Table 4: City class - by market size
City Class IT Professional All Internet Users
Sample Base 4,155 25,060
Metro 40% 37%
Urban uptowns 11% 14%
Emerging Towns 16% 16%
Others 33% 33%
115. 109
Cities IT Professional All Internet Users
Assansol 0.1% 0.1%
Dhanbad 0.1% 0.1%
Solapur 0.2% 0.1%
Others from North India 10% 9%
Others from South India 16% 14%
Others from East India 4% 6%
Others from West India 7% 7%
Table 6: Region-wise break-ups
Region IT Professional All Internet Users
Sample Base 4,155 25,060
North 22% 22%
East 9% 12%
South 45% 40%
West 23% 26%
116. 110
Table 7: Preferred language of reading
Language IT Professional All Internet Users
Sample Base 4,155 25,060
English 40% 41%
Hindi 18% 19%
Telugu 8% 6%
Tamil 7% 6%
Marathi 5% 5%
Malayalam 3% 4%
Gujarati 3% 4%
Kannada 3% 4%
Bengali 3% 3%
Oriya 3% 3%
Punjabi 2% 1%
Awadhi 1% 1%
Urdu 1% 1%
Assamese 0.3% 0.5%
Konkani 0.4% 0.5%
Marwari 0.2% 0.4%
Bhojpuri 0.3% 0.2%
Sindhi 0.1% 0.2%
Chhattisgarhi 0.0% 0.1%
Haryanvi 0.1% 0.1%
Kashmiri 0.1% 0.1%
Maithili 0.1% 0.1%
Sanskrit 0.1% 0.1%
Tulu 0.0% 0.1%
Bodo 0.0% 0.0%
Bundeli 0.0% 0.0%
Dogri 0.1% 0.0%
Kanauji 0.0% 0.0%
Kurchi 0.0% 0.0%
Manipuri 0.0% 0.0%
Magahi 0.0% 0.0%
Nepali 0.0% 0.0%
Santhali 0.0% 0.0%
Others 0.2% 0.3%
117. 111
Table 8: Socio economic classification
SEC IT Professional All Internet Users
Sample Base 4,155 25,060
SEC A 24% 24%
SEC B 31% 32%
SEC C 26% 23%
SEC D 13% 14%
SEC E 6% 7%
Table 9: Highest educational qualification
Education IT Professional All Internet Users
Sample Base 4,155 25,060
Up to SSC/HSC 7% 13%
College but not Graduate 24% 23%
Graduate & above - general stream 31% 39%
Graduate & above - professional stream 37% 25%
Table 10: Occupational break up
Occupation IT Professional All Internet Users
Sample Base 4,155 25,060
Unemployed 37% 38%
Employed 64% 62%
118. 112
Table 11: Function / field of occupation
Functions IT Professional All Internet Users
Sample Base 2,601 15,219
Marketing/Sales 0.0% 16%
Advertising/PR/Media 0.0% 3%
Finance 0.0% 10%
HR 0.0% 3%
IT/Software 100% 18%
Manufacturing 0.0% 11%
Administration 0.0% 11%
Academics 0.0% 4%
Consultancy 0.0% 6%
Others 0.0% 19%
Table 12: Head of the household
Head Of The HH IT Professional All Internet Users
Sample Base 4,155 25,060
Head of the household 44% 47%
Not head of the household 56% 53%
Table 13: Monthly family income
Income IT Professional All Internet Users
Sample Base 3,558 21,343
Up to 5K 13% 13%
5-10K 25% 25%
10-20K 26% 25%
20-30K 14% 14%
30-50K 10% 10%
50-75K 4% 4%
75-100K 3% 3%
Above 100K 5% 6%
119. 113
Table 14: Most expensive vehicle owned by the household
Vehicle Owned IT Professional All Internet Users
Sample Base 4,155 25,060
Bi-Cycle 8% 7%
Motor-Cycle/Scooter 48% 44%
Small Car (Up to Rs.4 lakhs) 15% 18%
Mid-Size Car (Rs.4 to 8 lakhs) 5% 8%
Premium/Luxury Car (Above Rs.8 lakhs) 1% 2%
Others 1% 1%
Don't own a vehicle 21% 19%
Table 15: Ownership of credit cards (individually)
Credit Card IT Professional All Internet Users
Sample Base 4,155 25,060
Single Card 18% 18%
Multiple Cards 14% 16%
No Credit Card 68% 67%
120. 114
Table 16: Household asset ownership
Asset IT Professional All Internet Users
Sample Base 4,155 25,060
Color TV 90% 92%
Mobile Phone 89% 90%
Bank Account 79% 82%
Fridge 68% 75%
Cable TV connection/DTH 68% 72%
Computer/Laptop 73% 67%
Camera 60% 64%
Landline Phone 57% 62%
Life Insurance 55% 61%
Home 56% 58%
Washing Machine 51% 57%
Music System/DVD/MP3 50% 55%
Debit Card 52% 52%
Credit Card 34% 35%
Fixed Deposits 30% 34%
Medical Insurance/CGHS 30% 33%
Air Conditioner 19% 25%
Microwave 19% 24%
Mutual Funds 19% 22%
Demat Account 18% 21%
Video Camera 18% 20%
Share of Companies 16% 20%
IPod 13% 10%
Chit Fund Deposits 6% 7%
Table 17: Current loan liabilities
Loan IT Professional All Internet Users
Sample Base 4,155 25,060
Home Loan 49% 45%
Car Loan 10% 12%
Two - wheeler Loan 15% 13%
Education Loan 12% 9%
Business Loan 3% 4%
Personal Loan 18% 20%
Consumer Durables 2% 3%
Other 0.2% 0.1%
None of Above 6% 9%
121. 115
Table 18: Years of experience in using internet
Experience IT Professional All Internet Users
Sample Base 4,155 25,060
Less Than 6 Months 8% 10%
6 Months-1 year 7% 10%
1-2 years 14% 16%
2-5 years 26% 26%
5-6 years 14% 12%
6 years and above 31% 25%
Table 19: Place of accessing internet
Place Of Access IT Professional All Internet Users
Sample Base 4,155 25,060
Home 62% 59%
Place of work (office / school / college) 87% 78%
Cyber cafe 52% 47%
In transit (while traveling) 7% 6%
Table 20: Type of internet connection at home
Connection Type IT Professional All Internet Users
Sample Base 2,572 14,856
Regular Dial Up 15% 16%
Broadband Dial Up 28% 28%
24 Hrs Broadband 32% 31%
Mobile Connection 8% 6%
Wi Fi Connection 2% 2%
Cable 8% 9%
Lease/Dedicated line 0.2% 0.5%
Others 1% 2%
Don't Know 6% 7%
122. 116
Table 21: Type of internet connection at office
Connection Type IT Professional All Internet Users
Sample Base 3,644 19,740
Regular Dial Up 5% 7%
Broadband Dial Up 21% 25%
24 Hrs Broadband 34% 31%
Mobile Connection 2% 2%
Wi Fi Connection 3% 3%
Cable 5% 6%
Lease/Dedicated line 14% 6%
Others 2% 2%
Don't Know 17% 19%
Table 22: Service provider subscribed to at home
Service Provider IT Professional All Internet Users
Sample Base 2,572 14,856
BSNL/Sancharnet 34% 35%
Airtel/Bharti 20% 17%
VSNL / Tata 10% 10%
Local Cable Operator 7% 8%
Sify 7% 6%
Reliance 6% 6%
MTNL 4% 5%
Spectranet 0.2% 0.1%
Others 5% 7%
Don't Know 6% 5%
123. 117
Table 23: Service provider subscribed to at office
Service Provider IT Professional All Internet Users
Sample Base 3,644 19,740
BSNL/Sancharnet 25% 28%
Airtel/Bharti 17% 15%
VSNL / Tata 12% 11%
Reliance 5% 6%
Sify 5% 5%
MTNL 3% 5%
Local Cable Operator 4% 4%
Spectranet 0.5% 0.3%
Others 7% 8%
Don't Know 22% 19%
Table 24: Frequency of accessing internet from home
Frequency IT Professional All Internet Users
Sample Base 2,451 14,231
Over 5 times a Day 32% 24%
2-5 times a Day 25% 27%
Once Daily 28% 33%
Once In 2-3 Days 10% 10%
Once a Week 4% 5%
1-3 times a Month 0.9% 1%
Once in More than a Month 0.7% 0.9%
Table 25: Frequency of accessing internet from office
Frequency IT Professional All Internet Users
Sample Base 3,292 17,617
Over 5 times a Day 48% 38%
2-5 times a Day 21% 25%
Once Daily 19% 24%
Once In 2-3 Days 7% 7%
Once a Week 4% 4%
1-3 times a Month 1% 1%
Once in More than a Month 1% 1%
124. 118
Table 26: Time of the day accessing internet from home
Time Slot IT Professional All Internet Users
Sample Base 2,410 13,905
Before 9.00 AM 5% 5%
9.00 AM-12.00 Noon 7% 8%
12.00 Noon - 3.00 PM 6% 6%
3.00 PM-6.00 PM 4% 6%
6.00 PM - 9.00 PM 16% 18%
9.00 PM - 12.00 Midnight 38% 35%
After 12.00 Midnight 5% 3%
Throughout the Day 19% 18%
Table 27: Time of the day accessing internet from office
Time Slot IT Professional All Internet Users
Sample Base 3,264 17,680
Before 9.00 AM 2% 2%
9.00 AM-12.00 Noon 19% 22%
12.00 Noon - 3.00 PM 18% 21%
3.00 PM-6.00 PM 12% 13%
6.00 PM - 9.00 PM 7% 8%
9.00 PM - 12.00 Midnight 4% 4%
After 12.00 Midnight 2% 2%
Throughout the Day 36% 29%
Table 28: Duration of internet usage from home
Time Spent IT Professional All Internet Users
Sample Base 2,449 14,015
Less than 30 Minutes 12% 15%
30 to 60 Minutes 25% 28%
1-2 Hours 36% 35%
2-5 Hours 20% 17%
5-8 Hours 4% 3%
More than 8 Hours 4% 3%
125. 119
Table 29: Duration of internet usage from office
Time Spent IT Professional All Internet Users
Sample Base 3,256 17,100
Less than 30 Minutes 15% 20%
30 to 60 Minutes 21% 25%
1-2 Hours 26% 26%
2-5 Hours 18% 15%
5-8 Hours 10% 7%
More than 8 Hours 10% 7%
Table 30: Duration of internet usage during weekdays
Time Spent IT Professional All Internet Users
Sample Base 3,715 21,956
Less than 30 Minutes 6% 8%
30 to 60 Minutes 15% 20%
1-2 Hours 32% 34%
2-5 Hours 27% 24%
5-8 Hours 10% 7%
More than 8 Hours 11% 7%
Table 31: Duration of internet usage during weekends
Time Spent IT Professional All Internet Users
Sample Base 3,431 19,522
Less than 30 Minutes 7% 10%
30 to 60 Minutes 15% 17%
1-2 Hours 30% 31%
2-5 Hours 24% 24%
5-8 Hours 11% 9%
More than 8 Hours 12% 9%
126. 120
Table 32: Duration of PC usage from home
Time Spent IT Professional All Internet Users
Sample Base 2,726 15,214
Less than 30 Minutes 7% 10%
30 to 60 Minutes 14% 20%
1-2 Hours 35% 37%
2-5 Hours 25% 22%
5-8 Hours 9% 7%
More than 8 Hours 10% 5%
Table 33: Duration of PC usage from office
Time Spent IT Professional All Internet Users
Sample Base 3,398 18,200
Less than 30 Minutes 3% 5%
30 to 60 Minutes 5% 9%
1-2 Hours 11% 17%
2-5 Hours 16% 22%
5-8 Hours 33% 26%
More than 8 Hours 32% 21%
Table 34: Time spent by internet users on watching TV
Time Spent IT Professional All Internet Users
Sample Base 3,615 21,962
Less than 30 Minutes 18% 16%
30 to 60 Minutes 29% 28%
1-2 Hours 41% 43%
2-5 Hours 10% 11%
5-8 Hours 1% 1%
More than 8 Hours 0.6% 0.5%
127. 121
Table 35: Time spent by internet users on reading newspaper
Time Spent IT Professional All Internet Users
Sample Base 3,756 22,501
Less than 30 Minutes 48% 46%
30 to 60 Minutes 40% 41%
1-2 Hours 11% 12%
2-5 Hours 1% 1%
5-8 Hours 0.1% 0.2%
More than 8 Hours 0.3% 0.2%
Table 36: Time spent by internet users on listening to radio
Time Spent IT Professional All Internet Users
Sample Base 2,517 14,785
Less than 30 Minutes 45% 46%
30 to 60 Minutes 26% 26%
1-2 Hours 20% 19%
2-5 Hours 5% 6%
5-8 Hours 2% 2%
More than 8 Hours 2% 2%
Table 37: Professional activities
Activity IT Professional All Internet Users
Sample Base 2,423 14,253
Emailing - work related 87% 83%
Job Search 83% 73%
Instant messaging 72% 62%
Search work related info 56% 49%
Check business/Financial news 28% 30%
Business/prof. networking 31% 26%
Look for Seminar/workshops 29% 24%
Check business travel info. 16% 19%
None of the Above 1% 3%
128. 122
Table 38: Personal activities
Activity IT Professional All Internet Users
Sample Base 2,423 14,253
Emailing - personal 90% 89%
Check news 68% 61%
Chatting 69% 59%
Check Sports 68% 57%
Dating/Friendship 57% 51%
Matrimonial search 54% 48%
Astrology 50% 46%
Search for product information 45% 45%
Social networking/communities 54% 44%
Share pictures 44% 40%
Check hobby related info 32% 32%
Check health & lifestyle info 29% 30%
Check cinema content 31% 28%
Check personal travel info. 24% 26%
None of the above 0.3% 0.7%
Table 39: Downloading activities
Activity IT Professional All Internet Users
Sample Base 2,423 14,253
Music 68% 60%
Online games 60% 54%
Mobile contents (ring tones/games) 57% 50%
Educational / Learning material 57% 48%
Screensavers/wallpapers 44% 46%
Movies 36% 29%
Adult content 20% 18%
None of the above 9% 13%
129. 123
Table 40: E-commerce related activities
Activity IT Professional All Internet Users
Sample Base 2,396 14,043
E-greetings 63% 58%
Check financial info 51% 46%
Check real estate info 42% 37%
Net banking 39% 31%
Book train tickets 34% 29%
Buy non-travel products 29% 25%
Book air tickets 23% 23%
Online bill payment 29% 23%
Online stock trading 13% 13%
Net telephony 17% 13%
Book hotels 8% 8%
None of these 9% 13%
Table 41: Online shopping
Online Shopping IT Professional All Internet Users
Sample Base 2,423 14,253
Searched only 31% 33%
Both searched and bought 48% 43%
Neither searched nor bought 21% 24%
Table 42: Response to online marketing stimulus
Response IT Professional All Internet Users
Sample Base 1,928 10,888
Clicked a banner ad 50% 47%
Participated in an online contest 47% 43%
Clicked a sponsored search ad 42% 37%
Bid/Bought in an Online auction 25% 23%
Bought in a special promotion / deal 21% 21%
Clicked a product/service e-mailer 15% 14%
None of the above 24% 27%
130. 124
Table 43: Blogging activities
Activity IT Professional All Internet Users
Sample Base 2,423 14,253
Check / read blogs at least once a week 29% 23%
Check / read blogs less than once a week 5% 4%
Comment on blog post at least once a week 14% 9%
Comment on blog post less than once a week 4% 3%
Have a blog site of my own 10% 7%
None of the above 61% 70%
Table 44: Member of an online community
Membership IT Professional All Internet Users
Sample Base 2,423 14,253
Not a member of any online community 48% 59%
Member of an online community 53% 41%
131. 125
Table 45: Membership by type of online community
Membership IT Professional All Internet Users
Sample Base 2,423 14,253
Not a member of any online community 48% 59%
Alumni & Schools 8% 7%
Computers & Internet 14% 5%
Romance & Relationships 4% 5%
Business / Professional community 4% 3%
Music 3% 3%
Schools & Education 3% 3%
Games 2% 2%
Individuals 3% 2%
Arts & Entertainment 2% 2%
Cultures & Community 2% 2%
Company 2% 1%
Travel 0.5% 0.9%
Religion & Beliefs 0.8% 0.8%
Science & History 0.8% 0.8%
Health, Wellness & Fitness 0.4% 0.7%
Automotive 0.2% 0.5%
Family & Home 0.5% 0.5%
Countries & Regional 0.5% 0.4%
Fashion & Beauty 0.6% 0.4%
Hobbies & Crafts 0.4% 0.4%
Recreation & Sports 0.2% 0.3%
Cities & Neighborhoods 0.1% 0.2%
Gay, Lesbian & Bi 0.4% 0.2%
Government & Politics 0.1% 0.2%
Pets & Animals 0.1% 0.2%
Food, Drink & Wine 0.1% 0.1%
Table 46: Usage of other language websites
Language IT Professional All Internet Users
Sample Base 2,423 14,253
Use other language websites 16% 12%
Use only English websites 84% 88%
132. 126
Table 47: Online activities desired in other languages
Activity IT Professional All Internet Users
Sample Base 2,423 14,253
Email 63% 61%
Chatting 52% 46%
Entertainment 46% 45%
Search information 35% 33%
Online news 35% 31%
Online learning / education 33% 31%
Astrology 23% 23%
Online shopping 18% 18%
Travel related information 15% 16%
Matrimony 15% 13%
Blog 15% 12%
Not Interested 17% 21%
Table 48: Problems faced while surfing the internet
Problems Faced IT Professional All Internet Users
Sample Base 4,155 14,252
Slow website opening 59% 62%
Virus / spyware 52% 49%
Spam / junk mails 56% 49%
Unsolicited ads/pop-ups 49% 45%
Difficult to connect 30% 35%
Lack of response to queries 30% 27%
Cumbersome navigation 15% 12%
Lack of local language content 9% 9%
Never faced any problem 7% 8%
Others 2% 2%
133. 127
Table 49: Top of mind unaided recall - all websites
Website IT Professional All Internet Users
Sample Base 4,066 24,433
Yahoo 26% 30%
Google 37% 27%
Rediff 8% 12%
Orkut 4% 5%
Gmail 4% 3%
Hotmail 1% 2%
Indiatimes 0.8% 1%
Contest2win 0.1% 0.6%
MSN 0.3% 0.5%
Naukri 0.2% 0.5%
Sify 0.3% 0.5%
Moneycontrol 0.5% 0.4%
Microsoft 0.8% 0.4%
Ebay 0.2% 0.3%
Monster 0.2% 0.3%
Nokia 0.2% 0.3%
Santabanta 0.4% 0.3%
Wikipedia 0.3% 0.3%
WWE 0.5% 0.3%
India 0.1% 0.3%
Espnstar 0.2% 0.2%
Freshersworld 0.4% 0.2%
Howstuffworks 0.3% 0.2%
ICICIbank 0.1% 0.2%
IRCTC 0.3% 0.2%
NDTV 0.0% 0.2%
Reliance 0.0% 0.2%
Funmaza 0.1% 0.2%
India games 0.0% 0.2%
You tube 0.0% 0.2%
BBC 0.0% 0.1%
BSNL 0.0% 0.1%
CBSE 0.0% 0.1%
Cricinfo 0.1% 0.1%
Download 0.0% 0.1%
Hi5 0.0% 0.1%
Hpindia 0.1% 0.1%
ICICIDirect 0.0% 0.1%
Indiafm 0.0% 0.1%
Manoramaonline 0.0% 0.1%
NSEindia 0.1% 0.1%
Raaga 0.1% 0.1%
Sharekhan 0.5% 0.1%
Sony 0.0% 0.1%
Timesjob 0.1% 0.1%
Timesofindia 0.1% 0.1%
135. 129
Table 50: Most used website - all websites
Website IT Professional All Internet Users
Sample Base 2,401 14,075
Google 40% 29%
Yahoo 22% 27%
Rediff 8% 11%
Orkut 7% 8%
Gmail 6% 4%
Hotmail 0.8% 2%
Indiatimes 0.6% 0.9%
Wikipedia 1% 0.6%
Moneycontrol 0.3% 0.5%
Naukri 0.5% 0.5%
Sify 0.3% 0.5%
Ebay 0.0% 0.4%
MSN 0.2% 0.4%
Icicibank 0.1% 0.3%
Icicidirect 0.0% 0.3%
Santabanta 0.3% 0.3%
Contest2win 0.1% 0.3%
Download 0.3% 0.2%
Monster 0.3% 0.2%
Nseindia 0.1% 0.2%
Raaga 0.2% 0.2%
WWE 0.1% 0.2%
Youtube 0.1% 0.2%
Bseindia 0.1% 0.2%
Espnstar 0.2% 0.1%
Sharekhan 0.0% 0.1%
Timesjob 0.2% 0.1%
Others 11% 13%
136. 130
Table 51: Preferred website for emailing
Website IT Professional All Internet Users
Sample Base 4,155 25,060
Yahoo 51% 53%
Gmail 28% 20%
Rediff 14% 18%
Hotmail 5% 6%
Sify 0.5% 1%
Indiatimes 0.9% 0.9%
Sancharnet/BSNL 0.2% 0.7%
VSNL 0.2% 0.5%
Lycos 0.0% 0.2%
AOL 0.2% 0.1%
Table 52: Multiple user shares of email websites
Website IT Professional All Internet Users
Sample Base 4,155 25,060
Yahoo 91% 89%
Gmail 76% 59%
Rediff 59% 57%
Hotmail 42% 36%
Indiatimes 20% 17%
Sify 12% 13%
Sancharnet/BSNL 8% 7%
VSNL 4% 4%
AOL 4% 3%
Lycos 3% 2%
Others 4% 4%
Table 53: No. of email accounts
No. Of Email A/C IT Professional All Internet Users
Sample Base 4,155 25,060
One 8% 15%
Two 23% 28%
Three 29% 27%
Four 22% 17%
Five or more 18% 14%
Average email ids 3.3 3.0
137. 131
Table 54: Preferred website for job search
Website IT Professional All Internet Users
Sample Base 2,001 10,387
Naukri 40% 37%
Monster 28% 27%
Timesjobs 12% 14%
Google 4% 5%
Yahoo 1% 3%
Rediff 1% 2%
Freshersworld 3% 2%
Indiatimes 1% 1%
Jobs 0.9% 1%
Jobsahead 1% 1%
Jobstreet 1% 0.7%
Jobsearch 0.3% 0.6%
Clickjobs 0.4% 0.5%
Devnetjobs 0.0% 0.2%
Jobsindia 0.2% 0.1%
Others 5% 5%