A study of how application usage can help increase consumer satisfaction for ...Abeer Raza
This study uses regression analysis to determine the effects of mobile applications on consumer satisfaction. The paper focuses on the impact of mobile application usage on consumer behavior with regards to consumer engagement and brand loyalty. The author also looks into understanding the different factors within a mobile app that increases consumer satisfaction. This approach helps identify not just the factors themselves and their benefits but also their contribution in cultivating a long-term relationship between consumers and businesses.
Factors Influencing the E-Shoppers Perception towards E-Shopping (A Study wit...Dr. Amarjeet Singh
Purpose: The study focuses on identifying and exploring the various factors influencing the e-shoppers perception towards e-shopping.
Design / methodology / approach: A research model is developed based on the literature. For the purpose of study data collected from 100 e-shoppers belonged to Wardha City of Maharashtra. By using in structured questionnaire, descriptive statistical measure like mean has been used for analyzing the data.
Findings: The results reveal that the seven key factors like convenience, time saving, home delivery, price advantage, more choice, reliability and security significantly influenced the e-shoppers perception on e-shopping.
Contribution of the study: The result of this study provides a valuable reference to the e-marketers to understand the factors influencing e-shoppers perception. They can further sharpen their marketing strategies to attract and retain their customers.
In this presentation we will discuss the importance of internet marketing, How internet related to business, and many more interesting topic related to internet.
A study of how application usage can help increase consumer satisfaction for ...Abeer Raza
This study uses regression analysis to determine the effects of mobile applications on consumer satisfaction. The paper focuses on the impact of mobile application usage on consumer behavior with regards to consumer engagement and brand loyalty. The author also looks into understanding the different factors within a mobile app that increases consumer satisfaction. This approach helps identify not just the factors themselves and their benefits but also their contribution in cultivating a long-term relationship between consumers and businesses.
Factors Influencing the E-Shoppers Perception towards E-Shopping (A Study wit...Dr. Amarjeet Singh
Purpose: The study focuses on identifying and exploring the various factors influencing the e-shoppers perception towards e-shopping.
Design / methodology / approach: A research model is developed based on the literature. For the purpose of study data collected from 100 e-shoppers belonged to Wardha City of Maharashtra. By using in structured questionnaire, descriptive statistical measure like mean has been used for analyzing the data.
Findings: The results reveal that the seven key factors like convenience, time saving, home delivery, price advantage, more choice, reliability and security significantly influenced the e-shoppers perception on e-shopping.
Contribution of the study: The result of this study provides a valuable reference to the e-marketers to understand the factors influencing e-shoppers perception. They can further sharpen their marketing strategies to attract and retain their customers.
In this presentation we will discuss the importance of internet marketing, How internet related to business, and many more interesting topic related to internet.
The internet is being developed rapidly since last two decades, and with relevant digital economy that is driven by information technology also being developed worldwide. After a long term development of internet, which rapidly increased web users and highly speed internet connection, and some new technology also have been developed and used for web developing, those lead to firms can promote and enhance images of product and services through web site. Therefore, detailed product information and improved service attracts more and more people changed their consumer behaviour from the traditional mode to more rely on the internet shopping. On the other hand, more companies have realized that the consumer behaviour transformation is unavoidable trend, and thus change their marketing strategy. As the recent researches have indicated that, the internet shopping particularly in business to consumer (B2C) has risen and online shopping become more popular to many people. According to the report, The Emerging Digital Economy II, published by the US Department of Commerce, in some companies, the weight of e-commerce in total sales is quite high. For instance, the Dell computer company have reached 18 million dollars sales through the internet during the first quarter of 1999. As a result, about 30% of its 5.5 billion dollars total sales were achieved through the internet (Moon, 2004). Therefore, to understand internet shopping and its impact on consumer behaviour could help companies making use of it as a form of doing e-business.
There are many reasons for such a rapid developing of internet shopping, which mainly due to the benefits that internet provides. First of all, the internet offers different kind of convenience to consumers. Obviously, consumers do not need go out looking for product information as the internet can help them to search from online sites, and it also helps evaluate between each sites to get the cheapest price for purchase. Furthermore, the internet can enhance consumer use product more efficiently and effectively than other channels to satisfy their needs. Through the different search engines, consumers save time to access to the consumption related information, and which information with mixture of images, sound, and very detailed text description to help consumer learning and choosing the most suitable product (Moon, 2004). However, internet shopping has potential risks for the customers, such as payment safety, and after service. Due to the internet technology developed, internet payment recently becomes prevalent way for purchasing goods from the internet. Internet payment increase consumptive efficiency, at the same time, as its virtual property reduced internet security. After service is another way to stop customer shopping online. It is not like traditional retail, customer has risk that some after service should face to face serve, and especially in some complicated goods.
Influences of Website Quality on Online Purchase Intention of Air Ticketing S...IJRTEMJOURNAL
Business operation was more related with human contribution at end of 20th century. Rapid
development of internet technology has changed business environment. More than ever, consumers more like to
gather information about product or services and to make purchase using internet. For the reason, E-Commerce
website is integral part of business in order to increase profit. Research focused to investigate influences of
website quality factors (usability, website design, information quality, trust, perceived risk, empathy) on online
purchase intention of Mongolian consumers. Questionnaire design based on Barnes and Vidgen’s model and
data was collected from 265 respondents by online. Correlation and regression analysis was used to measure
relationship of variables. Research findings show website design, information quality, trust more positive
influence on online purchasing intention than usability, empathy, perceived
Quantitative Tools for research Project Report Muhammad Nadeem
This report is about the basic concept of Quantitative Tools for research, a key course for research students. Its also includes the SPSS results and their hypotheses.
Consumer behaviour in online shopping and comparisonAmitkumarsingh376
In this you can find about the details about what is the behavior of consumer towards online shopping, along this i had also added a comparison between two top online marketers which are mostly in trend i.e., comparison between Flipkart and Amazon.
Hope you Guys enjoy it, and may this project may provide good knowledge to you all
Thank You
Adopting Electronic Commerce as a platform to sell products and services in t...Anil Nair
Electronic commerce is become an increasingly important initiative amongst many organizations around the world. E-commerce has revolutionized the word "trade" and has reduced the gap between businesses and consumers. This study focuses on identifying the benefits and challenges that are associated with adopting an e-commerce platform to sell products and services in the United Arab Emirates (U.A.E.). The study also investigates the retailer's perspective on the e-commerce sector in U.A.E. and identifies their readiness to utilize e-commerce in business operations
Assessing the Impact of Relationship Quality on Online Adoption ijbiss
Relationships are strongly embedded in Indian culture due to its high-context nature. Because of this, the role of relationship marketing has been advanced in a variety of services viz., banking, retailing, telecom, etc and hence the competition amongst various service providers has increased. Traditionally, relationship management used to be personal interaction based phenomenon but with IT as an enabler for online channels, the need for creating and growing relationships have transpired in a big way. With the advent of technological changes in the business environment, customers are seeking better alternatives to reduce the frequency of visiting the bank branch physically and are relying more on the virtual mode for transacting. Hence, banks and other service organizations are strongly focussing on the digital (online) channels for facilitating monetary transactions and hence gaining competitive advantage. In the virtual mode, the concept of relationships appears to be unrealistic due to the absence of human interface. However, significant studies have been conducted in this regard which focus on the influence of relationship quality factors viz., trust, commitment, satisfaction, etc. towards adopting the online channel for carrying out financial transactions. Relationship quality focuses on evaluating the strength of relationships, which affects customer loyalty. There exists a dearth of such significant studies in the Indian context. The present research will focus on bridging this gap in the literature. This paper will follow a causal research design for empirically analysing the impact of RQ factors towards adopting online mode for banking transactions. It will also investigate the future intentions of the customers toward using the online channels for carrying out financial transactions.
Remarketing has been touted as one of the most sophisticated algorithms; changed the entire concept of marketing, from the ‘who’ to the ‘what’.
Consumers however, have a very different idea of the entire effort being put in for remarketing. Some think they are “being haunted”, some call it “being followed”, “an invasion to their privacy”, “desperation” on the part of the sellers or even “useless”.
E Tourism A Study of Tourist Satisfaction Mr. Akshay Nain | Mr. Abhimanyu Awasthi "E-Tourism: A Study of Tourist Satisfaction" 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/ijtsrd47697.pdf Paper URL : https://www.ijtsrd.com/humanities-and-the-arts/tourism/47697/etourism-a-study-of-tourist-satisfaction/mr-akshay-nain
This study aims to analyze the effect of perceived flow, customer satisfaction and online purchase
intention on website quality in booking hotels in traveloka.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
The internet is being developed rapidly since last two decades, and with relevant digital economy that is driven by information technology also being developed worldwide. After a long term development of internet, which rapidly increased web users and highly speed internet connection, and some new technology also have been developed and used for web developing, those lead to firms can promote and enhance images of product and services through web site. Therefore, detailed product information and improved service attracts more and more people changed their consumer behaviour from the traditional mode to more rely on the internet shopping. On the other hand, more companies have realized that the consumer behaviour transformation is unavoidable trend, and thus change their marketing strategy. As the recent researches have indicated that, the internet shopping particularly in business to consumer (B2C) has risen and online shopping become more popular to many people. According to the report, The Emerging Digital Economy II, published by the US Department of Commerce, in some companies, the weight of e-commerce in total sales is quite high. For instance, the Dell computer company have reached 18 million dollars sales through the internet during the first quarter of 1999. As a result, about 30% of its 5.5 billion dollars total sales were achieved through the internet (Moon, 2004). Therefore, to understand internet shopping and its impact on consumer behaviour could help companies making use of it as a form of doing e-business.
There are many reasons for such a rapid developing of internet shopping, which mainly due to the benefits that internet provides. First of all, the internet offers different kind of convenience to consumers. Obviously, consumers do not need go out looking for product information as the internet can help them to search from online sites, and it also helps evaluate between each sites to get the cheapest price for purchase. Furthermore, the internet can enhance consumer use product more efficiently and effectively than other channels to satisfy their needs. Through the different search engines, consumers save time to access to the consumption related information, and which information with mixture of images, sound, and very detailed text description to help consumer learning and choosing the most suitable product (Moon, 2004). However, internet shopping has potential risks for the customers, such as payment safety, and after service. Due to the internet technology developed, internet payment recently becomes prevalent way for purchasing goods from the internet. Internet payment increase consumptive efficiency, at the same time, as its virtual property reduced internet security. After service is another way to stop customer shopping online. It is not like traditional retail, customer has risk that some after service should face to face serve, and especially in some complicated goods.
Influences of Website Quality on Online Purchase Intention of Air Ticketing S...IJRTEMJOURNAL
Business operation was more related with human contribution at end of 20th century. Rapid
development of internet technology has changed business environment. More than ever, consumers more like to
gather information about product or services and to make purchase using internet. For the reason, E-Commerce
website is integral part of business in order to increase profit. Research focused to investigate influences of
website quality factors (usability, website design, information quality, trust, perceived risk, empathy) on online
purchase intention of Mongolian consumers. Questionnaire design based on Barnes and Vidgen’s model and
data was collected from 265 respondents by online. Correlation and regression analysis was used to measure
relationship of variables. Research findings show website design, information quality, trust more positive
influence on online purchasing intention than usability, empathy, perceived
Quantitative Tools for research Project Report Muhammad Nadeem
This report is about the basic concept of Quantitative Tools for research, a key course for research students. Its also includes the SPSS results and their hypotheses.
Consumer behaviour in online shopping and comparisonAmitkumarsingh376
In this you can find about the details about what is the behavior of consumer towards online shopping, along this i had also added a comparison between two top online marketers which are mostly in trend i.e., comparison between Flipkart and Amazon.
Hope you Guys enjoy it, and may this project may provide good knowledge to you all
Thank You
Adopting Electronic Commerce as a platform to sell products and services in t...Anil Nair
Electronic commerce is become an increasingly important initiative amongst many organizations around the world. E-commerce has revolutionized the word "trade" and has reduced the gap between businesses and consumers. This study focuses on identifying the benefits and challenges that are associated with adopting an e-commerce platform to sell products and services in the United Arab Emirates (U.A.E.). The study also investigates the retailer's perspective on the e-commerce sector in U.A.E. and identifies their readiness to utilize e-commerce in business operations
Assessing the Impact of Relationship Quality on Online Adoption ijbiss
Relationships are strongly embedded in Indian culture due to its high-context nature. Because of this, the role of relationship marketing has been advanced in a variety of services viz., banking, retailing, telecom, etc and hence the competition amongst various service providers has increased. Traditionally, relationship management used to be personal interaction based phenomenon but with IT as an enabler for online channels, the need for creating and growing relationships have transpired in a big way. With the advent of technological changes in the business environment, customers are seeking better alternatives to reduce the frequency of visiting the bank branch physically and are relying more on the virtual mode for transacting. Hence, banks and other service organizations are strongly focussing on the digital (online) channels for facilitating monetary transactions and hence gaining competitive advantage. In the virtual mode, the concept of relationships appears to be unrealistic due to the absence of human interface. However, significant studies have been conducted in this regard which focus on the influence of relationship quality factors viz., trust, commitment, satisfaction, etc. towards adopting the online channel for carrying out financial transactions. Relationship quality focuses on evaluating the strength of relationships, which affects customer loyalty. There exists a dearth of such significant studies in the Indian context. The present research will focus on bridging this gap in the literature. This paper will follow a causal research design for empirically analysing the impact of RQ factors towards adopting online mode for banking transactions. It will also investigate the future intentions of the customers toward using the online channels for carrying out financial transactions.
Remarketing has been touted as one of the most sophisticated algorithms; changed the entire concept of marketing, from the ‘who’ to the ‘what’.
Consumers however, have a very different idea of the entire effort being put in for remarketing. Some think they are “being haunted”, some call it “being followed”, “an invasion to their privacy”, “desperation” on the part of the sellers or even “useless”.
E Tourism A Study of Tourist Satisfaction Mr. Akshay Nain | Mr. Abhimanyu Awasthi "E-Tourism: A Study of Tourist Satisfaction" 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/ijtsrd47697.pdf Paper URL : https://www.ijtsrd.com/humanities-and-the-arts/tourism/47697/etourism-a-study-of-tourist-satisfaction/mr-akshay-nain
This study aims to analyze the effect of perceived flow, customer satisfaction and online purchase
intention on website quality in booking hotels in traveloka.
ANALYSE THE USER PREDILECTION ON GPAY AND PHONEPE FOR DIGITAL TRANSACTIONSIAEME Publication
Technology upgradation in banking sector took the economy to view that payment mode towards online transactions using mobile applications. This system enabled connectivity between banks, Merchant and user in a convenient mode. there are various applications used for online transactions such as Google pay, Paytm, freecharge, mobikiwi, oxygen, phonepe and so on and it also includes mobile banking applications. The study aimed at evaluating the predilection of the user in adopting digital transaction. The study is descriptive in nature. The researcher used random sample techniques to collect the data. The findings reveal that mobile applications differ with the quality of service rendered by Gpay and Phonepe. The researcher suggest the Phonepe application should focus on implementing the application should be user friendly interface and Gpay on motivating the users to feel the importance of request for money and modes of payments in the application.
American Journal of Multidisciplinary Research and Development is indexed, refereed and peer-reviewed journal, which is designed to publish research articles.
American Journal of Multidisciplinary Research and Development is indexed, refereed and peer-reviewed journal, which is designed to publish research articles.
This study’s goal is to find out how satisfied customers are with Bykea. The current study employed a quantitative approach to examine user satisfaction with Bykea e-bike services. Questionnaires were used to gather the information. This study also tries to identify the crucial elements—such as age, gender, and different payment methods—that influence how consumers behave toward Bykea e-bike services. According to the study’s findings, the majority of customers are happy with Bykea’s e-bike services, but there are some drawbacks, including price
increases and issues with the product’s design. If required, it will take a lot of work to keep Bykea’s e-bike customers. If the business can comprehend the customer’s desire and general perception, it can build a marketing plan. The results may thus be applied by marketers to create a marketing plan and increase the market share of Bykea bike services.
A DISSERTATION REPORT ON CONSUMER’S PERCEPTION AND AWARENESS ON ONLINE SHOPPING\MARKETING IN INDIA.
Including research methodology, data analysis, findings, conclusions, and survey questionnaire.
The conceptual study is designed with qualitative analysis of
blog contents to judge the bloggers perspective regarding rural tourism in India. The primary objective of the study was to analyze the presentation of rural tourism in India through blogs. Foreign bloggers illustration of India was deeply investigated from their blog contents. The study provides an elementary
indication about the blog marketing of rural tourism and its potential in the Indian tourism industry
Conceptualizing a Model for Online Shopping Intension: A Literature ReviewIJLT EMAS
- Internet marketing and online shopping have opened
the gates not only for big, small and medium enterprises (SMEs),
it has created immense opportunities for startups of India, to
market their products (both goods and services) globally. But
though there is significant development of the internet
technologies, internet facilities and services, still the online sale is
not significant compared to the sale through retail. Hence, this
study is undertaken to find the factors that will improve online
sales. The literature available in the internet is reviewed to
understand and find the influencing factors for online shopping.
The findings are that there are two major categories of
influencing factors, namely motivating and restricting factors,
which affects the customers’ intension to use online shopping for
purchase. Based on these findings a model has been
conceptualized. In the proposed model, the construct variables
are motivating factors and restricting factors and the dependent
variable is intension to buy online.
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Rohan mahesh yadav lpu research on buying behavior of indian tourists towards holiday packages an analysis of tourist online applications.
1. 1
Project Report
On
Topic: Buying Behavior of Indian Tourists Towards Holiday Packages: An
Analysis of Tourist Online Applications
Submitted To
LOVELY PROFESSIONAL UNIVERSITY
In partial fulfilment of the requirements for the award of degree of
Master’s in Business Administration
SUBMITTED BY
Name of Student University Registration No
Rohan Mahesh Yadav 11908295
Faizan Khan 11908423
Reshma Carmel 11908259
Aakansha Das 11908413
2. 2
ACKNOWLEDGEMENT
With immense please I am presenting ‘Buying Behavior of Indian Tourists Towards Holiday
Packages: an analysis of tourist online applications’ project report as a part of curriculum of
‘Master of Business Administration’. I wish to thank all the people who gave me unending
support.
I express my profound thanks to my mentor Prof. Dr Preeti Mehra and all those who had
indirectly guided me and help me in preparing of the project. Last but not least I would like to
thank my favorite persons ‘my parents’ for supporting and influencing me.
Finally, I must say that no height is ever achieved without some sacrifice made at some
end, it is here where I owe my special debt to my parents and other family members and
friends for showing their generous love throughout entire period.
3. 3
DECLARATION
I , hereby declare that this project titled ‘Buying Behavior of Indian Tourists Towards
Holiday Packages: an analysis of tourist online applications’ , is original to the best of my
knowledge and has not been published anywhere .It is our original work and the project has not
formed the basis for the award of any degree , associateship ,fellowship or other similar titles.
This is only for the purpose of using in the Mittal School of Business forMaster of Business
Administration only and nothing else.
Rohan Mahesh Yadav
11908295
Faizan Khan
11908423
Reshma Carmel
11908259
Aakansha Das
11908413
MBA 3rd
Trimester,
Mittal School of Business,
Lovely Professional University
Punjab. India
4. 4
CONTENT
SL CHAPTER PAGE
1 Title 5-5
2 Introduction 6-7
3 Secondary data/ Literature
review
8-14
4 Research Gap 15-16
5 Problem statements 17-18
6 Research Objective 19-20
7 Research model 21-22
8 Research Hypotheses 23-24
9 Research Methodology 25-27
10 Data analysis and
interpretation
28-55
11 Recommendations 56-57
12 Conclusion 58-59
13 Reference 60-63
14 Questionnaire 64-76
5. 5
Title
‘’A study of buying behavior of Indian tourists towards holiday packages:
an analysis of tourist online applications.’’
6. 6
INTRODUCTION
Consumer buying behavior refers to selection, purchase and consumption of products and
services for satisfying their wants. Many factors such as attitude, preferences, intentions etc.
affect the consumer in their buying decision-making process, shopping habits and making final
purchases. A purchase decision is the result of one of these factors. Initially, consumer make a
decision for the commodities of its type to consume then it selects those commodities that have
greater utility. After selecting the commodities, the consumer makes an estimate of the available
money to spend. Lastly, the consumer analyses the prevailing prices of commodities and takes
the decision about the commodities to consume. Meanwhile, there are various other factors
influencing the purchases of consumer such as social, cultural, economic, personal and
psychological.
Travel and tourism are the largest service industry in India that provides fuel to its economic
growth and progress of the nation. Tourism is the third largest foreign exchange earner of the
country that account 6.8% for country’s GDP1. In the year 1966, government of India establishes
the ITDC (Indian Tourism Development Corporation) for the development and promotion of
tourism in India (TMohd, A Mohd, Ansari, 2018).The campaign like “Incredible India” was
launched to promote different tourism destination through websites that have user-friendly
interface for booking, transportation, foreign exchange, etc.
The 21th century is the era of digitalization where a growing number of customers are making
purchases online. Through this report, we aim to analyze the effectiveness of online travel agents
(OTAs) and understand the purchase behavior of Indian travelers using websites and other travel
related applications. This research provides an insight of online travel agents, e-mail marketing
and social media on the path to purchase of a consumer. This report includes valuable feedback
from the consumers in India and gives an understanding of the current state of the e-Travel
industry in India. Consumers are turning to the internet to take advantage of ease of booking and
comparative pricing. About 95% of consumers search online before making a travel purchase
(Kaynama, Black, 2000). The research indicates that majority of consumers are comfortable with
online ticket booking, but tour packages and hotels are still booked offline. It indicates that there
is a gap between expectations of consumers and actual facilities promised by hotels when booked
online.
The best way to encourage the customer to plan a trip is heavy discounts and offers through
websites and about 36% of the customer in India makes plans through the same (Ip and Lee,
2010). This has led to an increase in the number of offerings made by the e-Travel portals.
Majority of the travel portals are offering a complete experience through online hotel bookings,
holiday packages, travel guides, air tickets, rail and bus tickets, customized holiday packages,
shopping, bill payments, money transfer, movies, car rentals and other utility services. These
7. 7
wide range of offerings promise convenience in travel booking, planning and search. The
offerings made by major e-Travel portals are:
Many consumers use internet to take advantage of comparative pricing and enjoy the best deals
at lower prices. It avoids them the extra cost of booking through a travel agent and saves the time
consumed in visiting a traditional booking store. Features like easy cancellation, personalized
deals, ticket tracking and on-call customer service ease the journey of a traveler. Travel
companies are adopting user-friendly interfaces to simplify the consumer experience: easier
navigation, better interactivity and time saver quick book options are amongst the most important
ones. Marketers are using trip advisors, travel blogs and social networking sites to build a brand
name by encouraging consumers to share their personal travel experiences. These sites spread
word of mouth and increase the credibility of the portals, thus increasing the lifetime value for
their customer. Discounts on booking through mobile and various cash-back offers are mainly
used to lure the customers. Also, discounts on last minute bookings, timed discount offers help
the portals to attract huge traffic on the travel booking websites.
9. 9
LITERATURE REVIEW
The rapid increase of travel and tourism sector in India has increased the usage of technology for
online transactions. A research was conducted to know the satisfaction of Indian customers about
the online booking of travel packages. They segregated the questionnaire into two dimensions
related to trust and service attributes. The result shows that correlation is high between customer
satisfaction and services attributes with travel websites. However, the study concludes that
customers give less importance to trust and services but are convinced by the interactive
facilities, service convenience attribute and user friendliness of travel website to make a vacation
planning (Khare and Khare, 2010).
Internet plays an important role for the buying behavior of travel packages. (Beldona, Racherla
and Mundhra, 2011), determine the factors for buying air travel tickets through multiple
channels (both offline and online). Result indicates that age, education, nature of internet usage
orientation and time spent online serve have different buying behavior on both the channels. The
outcome demonstrates that old travelers prefer offline channels as compare to young travelers
who chooses online mode for booking packages.
(Chiam, Soutar and Yeo, 2009), studied the effects of one of these components (values, bundle
qualities, travel operators and a seal of endorsement) in on the web and disconnected conditions
were analyzed utilizing conjoint examination. It was discovered that cost had the greatest effect,
although movement specialist and aircraft notoriety and dependability likewise affected on
individuals’ inclinations. Strikingly, there were no significant contrasts in the quality’s effects in
the on the web and disconnected condition.
As the study done by (Mandal, Roy and Raju, 2017), empirically showcase that website
attractiveness is the most important component for travel and tourism because customers will
utilize service of website only when relying upon how responsive the website services are to the
requirements of the clients. However, web attractiveness benefits to the success of travel and
tourism websites as it positively influences the people to revisit the website again. The Internet
has likewise highlighted the development and advancement of the market by encouraging more
noteworthy straightforwardness of costs joined with omnipresent reach. Online portals offer
attractive packages when compared to offline as technology cut the cost and the saving in cost is
transferred to customers in the form of packages. Discounting, Time Saving and Advance
Booking are the various attributes that influence the decision making while choosing the online
packages. The values that draw customer to travel portal are attractive offers, generally a bundle
of offerings, & ease of booking (Kumar, A Kumar, Chakraborty, Abhishek & Rao 2017).Due to
the invention of internet and advance technology many companies of travel and tourism industry
are handling their customers by providing various information to the customers and making a
good relationship between them and makes easier while handling the various data of the
customers which are provided by customers while accessing the company’s websites or internet
10. 10
based applications. But, due to lack of trust to the company while buying or online transaction
customers are more concerned to their privacy and which give an impact on the customer’s
willingness to buy online or any other online transactions (Brown, M., Gottlieba, U., &Muchira,
R. 2005).
Attitude sometimes affect the consumer behavior towards online shopping which is the most
important concern nowadays. (Wen,2009), developed a conceptual framework based on theory of
planned behavior and related literature reviews which was empirically tested to check the bond
between the factors and the framework, results that the factors such as attitude, customer
satisfaction, trust and e-commerce websites design has a major role on online medium to make
purchases.
(Wen, 2012), investigated that theory of attitude behavior consistency, communication theory
and related theories gives theoretical foundation for understanding factors such as information
quality, service quality, and system quality, which influence the customer for purchases. In
addition, customer’s attitude and trust are strong mediators that link the quality of website with
the buying decision.
(Budeanu, 2007), contemplated that despite the pronounced uplifting attitude towards feasible
travel industry, vacationers do not act alike by purchasing mindful the travel industry items. The
low help from clients is one of the fundamental boundaries for advancement towards reasonable
travel industry. Enlightening instruments are irreplaceable for making a move to practical
vacation conduct, which might be accomplished. Tourist destination is a specific product
composed of complexes of different attributes offered to tourists. The main research question is
which attributes of tourist destination are the most important for the tourist’s perception and how
they will evaluate the destination in comparison with other visited destinations. However, the
study will examine the components that add to trust of Indian sightseers in e-the travel industry
organizations so as to make more an incentive for the clients. Trust-Building procedure of
travelers will be examined by three angles to be specific: Consumer Characteristics, Website
Characteristics and Service Quality (Nidhi Phutela 2014).
The key challenge that is face by the websites for its growth and development nowadays is Trust.
Research analyses six dimensions including order facilitation effort, prior knowledge of vendor,
website presentation and navigation, customer information exchange, customer control and
collaboration, transactional security and most important enhancing consumer trust within the
online travel marketplace (Austin, Ibeh, Yee, 2008).(Chen and Barnes, 2007), Trust is one of the
important elements of consumer behavior for making purchases through online medium. It
investigates how trust can be developed in customers initially by the online channel and their
purchase intentions. They found that customer is concern about online security, privacy, policy
of websites and willingness to customized and are the important antecedents to online initial
trust. The demographic features such as income and age group influence the online purchase
11. 11
attitude of travelers as examined by (Datta, M Sajnani and J Thomas, 2018). It concluded that
gender do not affect the purchases through online websites but trust, service and awareness seem
to be major concerns for the travellers but convenience and network play a major role in online
travel purchase.
All the companies and hotels need to adopt and make a website which is a platform for getting
all the information regarding the customers hotel reservations or any other information that
customers are looking for. Many companies and hotels are maintaining their websites by using
various technology with the help of internet by providing online transactions and many others
features which can attract customers, thus hotel websites are replacing the traditional mode of
hotel reservations (Morosan, C., &Jeong, M. 2006).
(Bethapudi, 2013), articulated the role of Information communication and technology (ICT) in
today’s new era of internet to boost tourism industry. According to his study, it was found that
ICT helps tourists by providing various information about the location of tourist destinations,
hotels and e-ticket bookings of airlines in which a tourist can easily access these facilities sitting
in any place of the world.(Amaro and Duarte, 2013)
Studied and analyzed the further expansion in the advancement of the ICTs and its influences to
the customers who buys the travel packages in the market. According to this study, the
characteristics of online buyers are classified into three fundamental classifications: Consumer
Characteristics, Perceived Channel Characteristics, and Website and Product Characteristics in
which customer saw qualities of channel attributes, and site and item attributes. The impacts of
social media on buying behaviour of the consumer has been immensely discussed in the tourism
and travel sector given the intangible nature of travel services and the perceived risk during the
travel decision-making process of the customer.(Sigala, 2013),provides a holistic supply chain
management which customers are involved in each and every stage to take care of environment
and to increases sustainability and eco-friendly practices. According to his model, there are four
dimensions which are factors like motivating customer’s involvement, degree of customer
involvement, management strategies of customer involvement and outcomes of customer
involvement. The essence of the intentions to use social media has been articulated by many
previous works (Lopez, Gidumal,Tano&Armas 2011; Pappas 2015).
The most important thing which should be considered is that people are doing research from
information by experienced tourists who are contributing information regarding vacations and
holidays trip by uploading photos, videos and comments. Then, people who are about to go their
vacations evaluating according to this information. And also, the intention of tourist to used
social media tools are also increased because of experience tourists are put forward and endorse
to other to use the social media tools in order to gather information related to their holiday’s
packages, prices, planning destinations, etc. Datta, B., Sajnani, M., & Thomas, J. (2018) focused
on understanding the consumer behavior on the buying decision making process where the
studied was confined in Delhi National Capital Region in India while booing the holidays trips
12. 12
through online portals. Business travelers are investigating on various online travel portals for
booking their trips. According to this study, it was identified the nine fundamental values that
people are looking for when they are about to purchase: product quality, cost, time to receive the
product, convince, time spent, congeniality, shopping, business enjoyment, security and
environmental impact. Business travelers are taking keener about the confidentiality, security
and product quality the most when they are booking their holidays trip. Pappas, N. (2016)
focused on holidaymaker’s perspectives using internet booking for their holidays. It was coming
to know the association between the internet perceived risks and relatively equal influenced of
the product and e-channel risks in consumer’s trust.
John Fotis (Bournemouth University, UK), DimitriosBuhalis (Bournemouth University, UK) and
NicosRossides (MASMI Research Group, Cyprus) 2011 predicted the impact of social media in
the buying behavior and decision-making process especially in travel industry on holidays
package segment. People are tremendously impacted by social media on the travel planning
process before, during and after the journey in which tourists can gather more information from
information shared by experienced people and they are using these scopes of information to plan
their holidays package. Pearce, D. G., Reid, L., & Schott, C. (2009)
Contributed to the literature of tourism by analyzing the behavior of 567 respondents from New
Zealand outbound tourists on which they have made their travel arrangement on holidays. They
found that people are made their travel arrangement by package tourists offer, independent
travelers and an intermediate group, plus packages. They also observed that there are differences
among the three categories in terms of travel characteristics, travel related information search,
booking and purchase. They also came to know about the variations in the channel behavior
which are examined in the four different sectors like transport facility to destinations, their
accommodation like hotels, attractions like beautiful scenery, monuments, waterfalls and
activities which includes things happening throughout the tour. Online travel booking has been
adopted by an increasing number of tourists (H Penge,XXu,W Chen 2013)summarizes the three
stages of online booking : online booking loyalty , based on the literature review , online based
booking loyalty. In view of the writing survey, the paper subsequently proposes another
examination motivation for tourists, practices in internet booking and suggests experimental
strategies for future research, the study not only provides a comprehensive and
understandingofconsumerbehaviors for the tourism marketers, but also sheds light on the future
research in online booking. (S Amaro, P Duarte 2015) determined the theory of planned
behavior, the technology acceptance model and on the innovation diffusions theory, this study
proposes and experimentally tests an incorporated model to investigate which elements influence
intentions to buy travel online, partial least squares structure equation modeling was conducted
to assess the hypotheses. The empirical results, obtained in a samples of internet users, indicate
the intentions to purchase travel online are mostly determined by attitude, compatibility and
perceivedrisk. The theoretical contributions of the study and the practical implications are
discussed and the future research directions are detailed.
13. 13
India is a place which having a large variety of tourist’s attractions but it has failed due to 90%
of the total international tourists who are coming to India do not buy any of holidays packages.
The reason for this is because of many factors viz., India’s image, infrastructural bottlenecks,
tough competitions and inappropriate marketing are responsible for this (Chaudhary, M.
1996).Due to advancement in technology, modern travelers across the world needs various
information of good qualities about the products and services, and other information which are
related to their travel plan and which in turn helps tourists to take their decision. Tourists are
giving less importance towards online transactions due to lack of trust and security aspects in
online financial transactions than other services provided by the websites (Khare, A., &Khare, A.
2010).Many tourists are not buying their holiday packages from e-commerce company due to
lack of trusts on their system like providing personal information (Grabner-Kräuter, S.,
&Kaluscha, E. A. (2003).Sometimes many people found website navigation issues on the
interface of the web portal while they are looking for the products and services offered by the
company (Taylor, M. J., & England, D. 2006).Many tourists are not doing electronic transactions
due to security threats and lack of trusts on sharing information through technology and other
online portals (Chellappa, R. K., &Pavlou, P. A. 2002).
The factors that influence consumer’s buying behavior are divided into motivators and
determinants (Swarbrooke and Horner, 2007h). The studies on holiday motivation are rather
large and complex, and as such in order to provide a thorough and meaningful research it needs
to be addressed in a separate study. It has been generally accepted in the literature of
econometric models of tourism demand that tourist’s personal Income level influences their
overall buying behavior and as a consequence their willingness to purchase tourism products.
Based on various scholars’ theory arguments for the scope of this intended study, the following
hypothesis is constructed to then be tested, using data from Albanian tourism consumers. H0:
Monthly Income levels of Albanian tourists and tendency to travel (measured in terms of
frequency of travel) are statistically independent.
A consumer is a bearer of consumer behaviour that can be characterized by openly observable
activities in the process of purchase and consumption. These represent consumer’s res- ponse to
specific events, which are influenced by a number of stimuli (Kita et al., 2010, p.84) [14].
Pcolinska (2007, p. 601-602).
Comprehensively define consumer behaviour as mental and social processes that take place prior
to purchase (need recognition, information search, evaluation of alternatives, alter- natives
selection) during purchase (buying behaviour) and post purchase (evaluation of utility, comparison
of expectations and reality, satisfaction etc.). Consumer behaviour thus includes the way of
selection, purchase and use of product which meets the needs and desires of individuals (Kotler &
Keller, 2013, p.189).
14. 14
Classified microeconomic, cognitive and interpretive models.Microeconomic models are based on
the demand theory. Consumer is understood as a rational being, which seeks to maximize the
utility of his/hers choices with respect to the lim- ited budget. Classical economics, that
comprehend the con- sumer only through maximization of utility and sees the product as
replaceable by another, as explained by the substitution effect, cannot adequately answer the
question what makes each product so exceptional that it becomes the object of con- sumption. It
is incapable to explain sufficiently consumer’s rea- sons to favour consumption of one product
before another. In addition, classical economics abstracts from the fact that cur- rent consumer,
when deciding on consumption, does not always behave in a purely rational way (Simockova,
2013, p. 215-216).
According to Decrop et al. (2010) , processes models do not only focus on analysis of relationship
between inputs and outputs, but try to explain what is going on in the mind of con- sumer
between the stimulus and the response to this stimulus. The black box model as the most famous
model (Kotler et al., 2007 explains how consumer behaviour is affected by mar- keting stimuli
inducing attention (4P), but also by other incen- tives characterizing the situation of purchase
(economic, tech- nological, political, cultural factors). These factors enter into black box shaped
by buyer’s characteristics and his decision- making process; as followed, these factors are
transformed into a set of specific responses of consumers (product selection, brands, dealer, time
of purchase and quantity of the product).
Interpretative models of consumer behaviour are less pre- scriptive and thus more realistic.
According to Decrop et al. (2010) model of Woodside & McDonald from 1994 was identified as
the first interpretative model based on a ques- tionnaire survey. Their model classified decision
(of purchase) of tourism consumers into eight subsets: selection of destination, accommodation,
activities, attractions, means of transport, itin- erary of the travel to primary destination,
hospitality, secondary destinations, itinerary of visit of secondary destinations, sou- venirs, resp.
purchases. These selections are activated by four source elements – information search and use,
interpersonal factors, marketing stimuli and travel intentions. The complexity of this model
realistically describes a number of factors affect- ing consumer’s final decision; however, in
terms of marketing needs it is dysfunctional.
16. 16
Research gap
No research is done without knowing the limitations we have faced in conducting a study that wi
ll applyto the analysis the learning,like the others, this research has some drawbacks listed
below:
The responses have been collected only from the earners not from students.
The study is mainly concentrated on online holiday packages.
The size of the sample will be limited to time and resources.
The outcome is assuming that the respondents given accurate information.
18. 18
Tourism Metamorphosis: Butler (1990) has tried to identify some of the fundamental problems
of tourism. These are:
Ignorance of dimension, nature and power of tourism;
Lack of ability to determine level of sustainable development i.e., capacity;
Lack of faculty to manage tourism and control the development;
Lack of appreciation that tourism is an industry, and like other industries does cause
impacts that cannot easily be reversed;
Lack of perception that tourism is dynamic, a two-way activity, causing change as well
asresponding to change;
Lack of agreement over levels of development, control and direction of tourism.
However, over the years, there has been a growing awareness of tourism as an activity, an
industry, and a catalyst for economic growth and development.
Tourists are looking for new products and new destinations. In addition, there is growing
environmental awareness and travelers are increasingly prepared to shun over-commercialized
and polluted resorts.
There is deregulation of the airline industry, an explosion of technology both for automated
reservations and for travel management.
Increasing trend towards concentration of the industry reflected by the large numbers of mergers,
takeovers and acquisitions.
The emerging paradigms, trends and developments stemming from the radical transformation of
the industry from old to 'new' tourism.
20. 20
Objectives
Every journey has their own destination. Without destination there is no mean of journey.
Similarly, every research has some prefixed objectives that we should be follow in our work.
Every step that we would have been taken in this project is have some specific objectives that
how could I achieved it. The main objective of our project is as follow:
• To study the antecedents of the purchase intention towards online purchase through travel
websites in India.
• Illustrate the relationship between the customers purchase intentionand actual buying
behavior towards travel websites.
22. 22
Conceptual Model:
Benefits of Use (Functional,
Social, Hedonic)
Costs of Use (Effort, Usage
Difficulty, Privacy)
Incentives of Use (Trust,
Altruism, Access)
Intention of Online Tour
Packages Booking
Buying Behaviour of
Tour Packages Booking
24. 24
The hypothesizes study
Since social media users are likely to differ in their social media use levels and goals
according to their demographic characteristics.
One of the research hypotheses is "H1: There is a meaningful difference between demographic
factors and consumer behavior
There is a meaningful difference between demographic factors and consumer behavior in the
social media purchasing process of tourism products. With the increase of
in the social media purchasing process of tourism products. With the increase of
Technology possibilities, the increase of social media users and their different
Demographic characteristics can cause the preferences of various tourism products they
Want to purchase. Many factors, such as age, gender, marital status, level of education,
Social media tools, etc. of social media users can lead to changes in consumer behaviors
Before and after the purchase of tourism products.
The reason for the development of the hypothesis is that "H2: There is a positive
relationship between the level of social
Media use and consumer behavior in the social media purchasing process of tourism
Products", which constitutes the second hypothesis of the research, it is thought that the
Individuals using the social media tool examine the tourism product purchasing
Processes and the usage rates of the social media platforms are effective in the tourism
Product purchasing processes, along with there are few studies that currently examine
Consumer behavior in the tourist product purchasing process.
26. 26
Research Methodology
Research means different thing to different people and the reason to conduct research on buying
behavior of Indian tourists towards holiday packages.it details the procedure necessary for
obtaining the information needed to structure and solve the research problem. It set the base for
conducting the project.
Research Design:
It is a blueprint that we are used in research in this term we understand the detailed procedure of
the research and design.
The two-general type of research are
Exploratory Research
The aim of exploratory research is to provide insight and understanding of the researcher's questi
on, the goal of definitive research is to test specific theories and investigate specific relationships
.
Conclusive Research
Descriptive research design is intended to describe something that usually has functional charact
eristics.Once the problem has been defined, the next step is to prepare a plan to obtain the necess
ary information for the research.The present study should follow descriptive and casual approach
es in which there is a need to collect a huge amount of information before making conclusion if n
ecessary.
Data Collection
Primary data is a main source of data collected through online method of digital survey and as
well as offline method of questionnaires
Research strategy
In this study, online survey method will be considered for collecting data and analyzing the
opinion of various customers. And data will also be supported by literature review of previous
researches undertaken.
27. 27
Sample Selection
Sample will be selected by judgement of the various surveyor. Certain discussion was taken care
while selecting the sample:
Responded should be aware of English and should have planned for a tour by online methods.
Sample Sizes
The Sample sizes of 201 respondents will be selected from Lovely professional university and
from employees.
Data collection
Primary data will be the main source of data collections via online and offline mode of
questionnaires.
Statistical Tools
In order to identify factors that motivates and motivates and restricts to tourists towards holidays
packages. The technique of factor analysis was applied for which we have used SPSS in order to
apply factor analysis on the data variables.
29. 29
From the above Table-2, We came to know that 61.2% of total respondents i.e 123 respondents
are of age less 30 years, 32% of respondents out of total respondents i.e 63 respondents are from
age between 31-40 years, 5% of respondents out of total respondents i.e 10 respondents are from
age between 41-50 years, and the rest 2% of respondents out of total respondents i.e 2
respondents are of age above 50 years.
From the above graphical representation, we came to know that 86% of total respondents i.e 173
respondents out of 201 respondents are male and rest 14% i.e 28 respondents are female.
30. 30
From the above graph, we can see that 30.3% of total respondents are households which having
monthly income below Rs 30000. 38.3% of total respondents are households which having
monthly income between Rs 31000-60000. 15.9% of total respondents are households which
having monthly income between Rs 61000-120000. 9.5% of total respondents are households
which having monthly income between Rs 91000-120000. And 6% of total respondents are
households which having monthly income above Rs 121000. But maximum number of
respondents are having household monthly income between Rs 31000-60000.
From the above graph, we can see that 6.6% of total respondents are having education
qualification up-to undergraduate, 53.7% of total respondents are having education qualification
up-to graduate, 29.4% of total respondents are having education qualification up-to post-graduate
31. 31
and remaining 10.4% are having education qualification above post-graduate. But, maximum
number out of total respondents are having education qualification up-to graduate.
From the above graph, we can see that 66.2% of respondents are private employee, 18.4% of
total respondents are govt. employee, 12.9% of total respondents are self-employed and
remaining 2.5 percentages are shared between home-maker and student. But, maximum number
out of total respondents are private job employee. But, maximum number of total respondents are
private job employee.
From the above graph, we can see that there are 38.8% of total respondents i.e 78 respondents
agreed that they are like online booking because it took less time. Also, 34.3% of total
respondents i.e 69 responde*nts are strongly agreed that they are online booking because took
less time. Then, 21.9% of total respondents i.e 44 respondents are neither agree nor disagree with
32. 32
online booking took less time. And 4% of the total respondents says that they are disagree with
online booking took less time and the remaining 2% of total respondents says they are strongly
disagreeing with online booking took less time. But, maximum number out of total respondents
are agreed that they are like online booking because it took less time.
From the above graph, we came to know that there are 35.3% of total respondents i.e 71
respondents agreed and preferred online booking travel packages because it can used anytime,
anywhere. Also, 22.4% of total respondents i.e 45 respondents are strongly agreed and preferred
online booking travel packages because it can used anytime, anywhere. Then, 28.4% of total
respondents i.e 57 respondents are neither preferred nor not preferred online booking travel
packages because it can used anytime, anywhere. And 9.5% of the total respondents i.e 19
respondents says that they are not preferred and disagreed online booking travel packages
because it can’t use anytime, anywhere and the remaining 4.5% of total respondents i.e 9
respondents says they are strongly disagreeing and not preferred online booking travel packages
because it can’t use anytime, anywhere. So, we came to know that maximum number of total
respondents are agreed and preferred online booking travel packages because it can used
anytime, anywhere.
33. 33
From the above graph, we can see that 32.8% of total respondents i.e 66 respondents are agreed
with social media tools permit them to get the most out of the resources invested in the trip.
20.9% of total respondents i.e 42 respondents are strongly agreed with social media tools permit
them to get the most out of the resources invested in the trip. Then, 36.3% of total respondents i.e
73 respondents are neither agree nor disagree with social media tools permit them to get the most
out of the resources invested in the trip. 6.5% of total respondents i.e 13 respondents are
disagreed with social media tools permit them to get the most out of the resources invested in the
trip. And 3.5% of total respondents i.e 7 respondents are strongly disagreed with social media
tools permit them to get the most out of the resources invested in the trip. But maximum
respondents are saying that they are neither agree nor disagree with social media tools permit
them to get the most out of the resources invested in the trip.
34. 34
From the above graph, we can see that 34.8% of total respondents i.e 70 respondents are agreed
that their friends and peer vacation experience motivate them to plan their vacation. 18.9% of
total respondents i.e 38 respondents are strongly agreed that their friends and peer vacation
experience motivate them to plan their vacation. 34.3% of total respondents i.e 69 respondents
are neither agreed nor disagreed that their friends and peer vacation experience motivate them to
plan their vacation. 7.5% of total respondents i.e 15 respondents are disagreed that their friends
and peer vacation experience motivate them to plan their vacation. And, 4.5% of total
respondents i.e 9 respondents are strongly disagreed that their friends and peer vacation
experience motivate them to plan their vacation. But, maximum number out of total respondents
are agreed that their friends and peer vacation experience motivate them to plan their vacation.
35. 35
From the above graph, we can see that 31.3% of total respondents i.e 63 respondents are agreed
that they have heard many a times that people booking travel packages online. 29.9% of total
respondents i.e 60 respondents are strongly agreed that they have heard many a times that people
booking travel packages online. 28.4% of total respondents i.e 57 respondents are neither agreed
nor disagreed that they have heard many a times that people booking travel packages online.
Then, 7.5% of total respondents i.e 15 respondents are disagreed that they have heard many a
times that people booking travel packages online. And, 3% of total respondents i.e 6 respondents
are strongly disagreed that they have heard many a times that people booking travel packages
online. But, maximum number of respondents are agreed that they have heard many a times that
people booking travel packages online.
From the above graph, we can see that 31.3% of total respondents i.e 63 respondents are agreed
that they are sharing their tourist experienced in social media. 26.4% of total respondents i.e 53
respondents are strongly agreed that they are sharing their tourist experienced in social media.
Then, 33.3% of total respondents i.e 67 respondents are neither agreed nor disagreed sharing
their tourist experienced in social media. 6.5% of total respondents i.e 13 respondents are
disagreed on sharing their tourist experienced in social media. And 2.5% of total respondents i.e
5 respondents are strongly disagreed on sharing their tourist experienced in social media. But,
maximum number out of total respondents are neither agreed nor disagreed on sharing their
experienced on social media.
36. 36
From the above graph, we can see that 31.3% of total respondents i.e 63 respondents are agreed
that they are reading e-catalogs and e-advertising about travel sites. 20.9% of total respondents
i.e 42 respondents are strongly agreed that they are reading e-catalogs and e-advertising about
travel sites. Then, 31.3% of total respondents are neither agreed nor disagreed that they are
reading e-catalogs and e-advertising about travel sites. 12.4% of total respondents i.e 25
respondents are disagreed that they are reading e-catalogs and e-advertising about travel sites.
And 4% of total respondents i.e 8 respondents are strongly disagreed that they are reading e-
catalogs and e-advertising about travel sites. But, maximum number out of total respondents are
agreed that they are reading e-catalogs and e-advertising about travel site.
37. 37
From the above graph, we can see that 44.3% of total respondents i.e 89 respondents are agreed
that their personal relationships with the people of same interest motivates them to go for a trip.
23.9% respondents i.e 48 respondents are strongly agreed that their personal relationships with
the people of same interest motivates them to go for a trip. Then, 19.9% of total respondents are
neither agreed nor disagreed that their personal relationships with the people of same interest
motivates them to go for a trip. 9.5% of total respondents i.e 19 respondents are disagreed that
their personal relationships with the people of same interest motivates them to go for a trip. And,
2.5% of total respondents i.e 5 respondents are dtrongly disagreed that their personal
relationships with the people of same interest motivates them to go for a trip. But, maximum
number out of total respondents are agreed that their personal relationships with the people of
same interest motivates them to go for a trip.
38. 38
From the above graph, we can see that 41.8% of total respondents i.e 84 respondents are agreed
on their personal time and efforts needed for searching travel related information is huge. 17.4%
of total respondents i.e 35 respondents are strongly agreed on their personal time and efforts
needed for searching travel related information is huge. Then, 30.3% of total respondents i.e 61
respondents are neither agreed nor disagreed on their personal time and efforts needed for
searching travel related information is huge. 8% of total respondents i.e 16 respondents are
disagreed on their personal time and efforts needed for searching travel related information is
huge. And 2.5% of total respondents i.e 5 respondents are strongly disagreed on their personal
time and efforts needed for searching travel related information is huge. But, maximum number
out of total respondents are agreed on their personal time and efforts needed for searching travel
related informationishuge.
39. 39
From the above graph, we can see that 34.8% of total respondents i.e 70 respondents are agreed
that high monetary cost is involved in the process of organizing that vacation trip online. 15.4%
of total respondents i.e 31 respondents are strongly agreed that high monetary cost is involved in
the process of organizing that vacation trip online. Then, 36.3% of total respondents i.e 73
respondents are neither agreed nor disagreed that high monetary cost is involved in the process
of organizing that vacation trip online. 11.4% of total respondents are disagreed that high
monetary cost is involved in the process of organizing that vacation trip online. And, remaining
2% of total respondents i.e 4 respondents are strongly disagreed that high monetary cost is
involved in the process of organizing that vacation trip online. But, maximum number of
respondents are saying neither agreed nor disagreed that high monetary cost is involved in the
process of organizing that vacation trip online.
From the above graph, we can see that 28.4% of total respondents i.e 57 respondents are agreed
that contributing opinions on travel websites often involves complex procedure. 14.9% of total
respondents i.e 30 respondents are strongly agreed that contributing opinions on travel websites
often involves complex procedure. Then, 38.3% of total respondents i.e 77 respondents are
neither agreed nor disagreed that contributing opinions on travel websites often involves
complex procedure. 12.9% of total respondents i.e 26 respondents are disagreed that contributing
opinions on travel websites often involves complex procedure. And 5.5% of total respondents i.e
11 respondents are strongly disagreed that contributing opinions on travel websites often
involves complex procedure. But, maximum number out of total respondents are neither agreed
nor disagreed that contributing opinions on travel websites often involves complex procedure.
40. 40
From the above graph, we can see that 30.8% of total respondents i.e 62 respondents are agreed
that sometimes they find it difficult to get familiar with travel websites. 16.4% of total
respondents i.e 33 respondents are strongly agreed that sometimes they find it difficult to get
familiar with travel websites. Then, 35.3% of total respondents i.e 71 respondents are neither
agreed nor disagreed sometimes they find it difficult to get familiar with travel websites. 14.4%
of total respondents i.e 29 respondents are disagreed that sometimes they find it difficult to get
familiar with travel websites. And 3% of total respondents i.e 6 respondents are strongly
disagreed that sometimes they find it difficult to get familiar with travel websites. But, maximum
number out of total respondents are neither agreed nor disagreed sometimes they find it difficult
to get familiar with travel websites.
41. 41
From the above graph, we can see that 31.85 of total respondents i.e 64 respondents are agreed
that sometimes they do not find accurate information online regarding vacations packages.
16.4% of total respondents i.e 33 respondents are strongly agreed that sometimes they do not
find accurate information online regarding vacations packages. Then, 36.8% of total respondents
i.e 74 respondents are neither agreed nor disagreed that sometimes they do not find accurate
information online regarding vacations packages. 10.9% of total respondents i.e 22 respondents
are disagreed that sometimes they do not find accurate information online regarding vacations
packages. And 4% of total respondents i.e 8 respondents are strongly disagreed that sometimes
they do not find accurate information online regarding vacations packages. But, maximum
number out of total respondents are neither agreed nor disagreed that sometimes they do not find
accurate information online regarding vacations packages.
42. 42
From the above graph, we can see that 32.8% of total respondents are agreed that as comparing
with other methods of purchasing, online shopping is riskier. 20.9% of total respondents i.e 42
respondents are strongly agreed that as comparing with other methods of purchasing, online
shopping is riskier. Then, 26.4% of total respondents i.e 53 respondents are neither agreed nor
disagreed that as comparing with other methods of purchasing, online shopping is riskier. 13.9%
of total respondents i.e 28 respondents are disagreed that as comparing with other methods of
purchasing, online shopping is riskier. 6% of total respondents i.e 12 respondents are strongly
disagreed that as comparing with other methods of purchasing, online shopping is riskier. But,
maximum number out of total respondents are agreed that as comparing with other methods of
purchasing, online shopping is riskier.
43. 43
From the above graph, we can see that 31.8% of total respondents are agreed that sometimes they
hesitate in posting their opinions online regarding service provider due to the risk of losing of
their privacy. 17.4% of total respondents are strongly disagreed that sometimes they hesitate in
posting their opinions online regarding service provider due to the risk of losing of their privacy.
Then, 30.3% of total respondents i.e 61 respondents are neither agreed nor disagreed that
sometimes they hesitate in posting their opinions online regarding service provider due to the
risk of losing of their privacy. 13.9% of total respondents i.e 28 respondents are disagreed that
sometimes they hesitate in posting their opinions online regarding service provider due to the
risk of losing of their privacy. And 6.5% of total respondents i.e 13 respondents are strongly
disagreed that sometimes they hesitate in posting their opinions online regarding service provider
due to the risk of losing of their privacy. But, maximum number out of total respondents are
agreed that sometimes they hesitate in posting their opinions online regarding service provider
due to the risk of losing of their privacy.
From the above graph, we can see that 37.8% of total respondents i.e 76 respondents are agreed
and there are uncertainties of data loss associated with purchasing travel online. 15.9% of total
respondents i.e 32 respondents are strongly agreed and there are uncertainties of data loss
associated with purchasing travel online. Then, 30.3% of total respondents i.e 61 respondents are
neither agreed nor disagreed that there are uncertainties of data loss associated with purchasing
travel online. 10.9% of total respondents i.e 22 respondents are disagreed that there are
uncertainties of data loss associated with purchasing travel online. And, 5% of total respondents
are strongly disagreed that there are uncertainties of data loss associated with purchasing travel
online. But, maximum number out of total respondents are agreed that there are uncertainties of
data loss associated with purchasing travel online.
44. 44
From the above graph, we can see that 34.8% of total respondents i.e 70 respondents are agreed
that they are always shared what they know about the vacation trip destination with their friends
and colleagues. 25.9% of total respondents i.e 52 respondents are strongly agreed that they are
always shared what they know about the vacation trip destination with their friends and
colleagues. Then, 26.9% of total respondents i.e 54 respondents are neither agreed nor disagreed
that they are always shared what they know about the vacation trip destination with their friends
and colleagues. 9.5% of total respondents are disagreed and they are not always shared what they
know about the vacation trip destination with their friends and colleagues. And 3% of total
respondents i.e 6 respondents are strongly disagreed and they are not always shared what they
know about the vacation trip destination with their friends and colleagues. But, maximum
number out of total respondents are agreed that they are always shared what they know about the
vacation trip destination with their friends and colleagues.
45. 45
From the above graph, we can see that 31.8% of total respondents i.e 64 respondents are agreed
and they have trust to the service provider for sharing personal credentials. 9.5% of total
respondents i.e 19 respondents are strongly agreed and they have trust to the service provider for
sharing personal credentials. 39.3% of total respondents are neither agreed nor disagreed that
they have trust to the service provider for sharing personal credentials. Then, 13.4% of total
respondents i.e 27 respondents are disagreed and they do not have trust to the service provider
for sharing personal credentials. And 6% of total respondents i.e 12 respondents are strongly
disagreed and they do not have trust to the service provider for sharing personal credentials. But,
maximum number out of total respondents are neither agreed nor disagreed that they have trust
to the service provider for sharing personal credentials.
46. 46
From the above graph, we can see that 38.3% of total respondents i.e 77 respondents are agreed
and they have planned trips and destination based upon the feedback available online. 21.4% of
total respondents i.e 43 respondents are strongly agreed that they have planned trips and
destination based upon the feedback available online. Then, around 29.4% of total respondents
i.e 59 respondents are neither agreed nor disagreed that they have planned trips and destination
based upon the feedback available online. 8.5% of total respondents i.e 17 respondents are
disagreed and they have no planned trips and destination based upon the feedback available
online. And, 2.5% of total respondents i.e 5 respondents are strongly disagreed and they have no
planned trips and destination based upon the feedback available online. But, maximum number
out of total respondents are agreed and they have planned trips and destination based upon the
feedback available online.
From the above graph, we can see that 40.8% of total respondents i.e 82 respondents are agreed
and they have shared their experience to help other people to make their vacation trips. 17.9% of
total respondents i.e 36 respondents are strongly agreed and they have shared their experience to
help other people to make their vacation tips. Then, 33.8% of total respondents i.e 68
respondents are neither agreed nor disagreed that they have shared their experience to help other
people to make their vacation trips. 5% of total respondents i.e 10 respondents are disagreed and
they have no shared their experience to help other people to make their vacation trips. And 2.5%
of total respondents i.e 5 respondents are strongly disagreed and they have no shared their
experience to help other people to make their vacation trips. But, maximum number out of total
respondents are agreed and they have shared their experience to help other people to make their
vacation trips.
47. 47
From the above graph, we can see that 38.8% of total respondents i.e 78 respondents are agreed
and they are getting information for planning vacations easily if they book it online. 22.9% of
total respondents i.e 46 respondents are strongly agreed that they are getting information for
planning vacations easily if they book it online. Then, 31.3% of total respondents i.e 63
respondents are neither agreed nor disagreed that they are getting information for planning
vacations easily if they book it online. 5% of total respondents i.e 10 respondents are disagreed
and they are not getting information for planning vacations easily if they book it online. And 2%
of total respondents i.e 4 respondents are strongly disagreed and they are not getting information
for planning vacations easily if they book it online. But, maximum number out of total
respondents are agreed and they are getting information for planning vacations easily if they
book it online.
48. 48
From the above graph, we can see that 39.8% of total respondents i.e 80 respondents are agreed
that internet connectivity through mobile makes all services available to them. 23.9% of total
respondents i.e 48 respondents are strongly agreed that internet connectivity through mobile
makes all services available to them. Then, about 28.4% of total respondents i.e 57 respondents
are neither agreed nor disagreed that internet connectivity through mobile makes all services
available to them. 6% of total respondents i.e 12 respondents are disagreed that internet
connectivity through mobile do not makes all services available to them. And 2% of total
respondents i.e 4 respondents are strongly disagreed that internet connectivity through mobile do
not makes all services available to them. But, maximum number out of total respondents are
agreed that internet connectivity through mobile makes all services available to them.
From the above graph, we can see that 41.8% of total respondents are agreed and they have
access to the receipts of all the payments made online for holidays packages. 18.4% of total
respondents i.e 37 respondents are strongly agreed that they have access to the receipts of all the
payments made online for holidays packages. Then, about 28.8% of total respondents i.e 58
respondents are neither agreed nor disagreed that they have access to the receipts of all the
payments made online for holidays packages. 9% of total respondents i.e 18 respondents are
disagreed and they have no access to the receipts of all the payments made online for holidays
packages. And 2% of total respondents i.e 4 respondents are strongly disagreed and they have no
access to the receipts of all the payments made online for holidays packages. But, maximum
number out of total respondents are agreed and they have access to the receipts of all the
payments made online for holidays packages.
49. 49
From the above graph, we can see that 35.3% of total respondents are agreed and they are
intended to use social media tools for reading the reviews posted by other tourists. 20.9% of total
respondents i.e 42 respondents are strongly agreed and they are intended to use social media
tools for reading the reviews posted by other tourists. Then, 33.3% of total respondents i.e 67
respondents are neither agreed nor disagreed that they are intended to use social media tools for
reading the reviews posted by other tourists. 9% of total respondents i.e 18 respondents are
disagreed and they are not intended to use social media tools for reading the reviews posted by
other tourists. And 1.5% of total respondents i.e 3 respondents are strongly disagreed that they
are not intended to use social media tools for reading the reviews posted by other tourists. But,
maximum number out of total respondents are agreed and they are intended to use social media
tools for reading the reviews posted by other tourists.
50. 50
From the above graph, we can see that 33.3% of total respondents i.e 67 respondents are agreed
that they have plan to look at various online applications for collecting information of sight-
seeing. 25.4% of total respondents i.e 51 respondents are strongly agreed that they have plan to
look at various online applications for collecting information of sight-seeing. Then, 32.8% of
total respondents i.e 66 respondents are neither agreed nor disagreed that they have plan to look
at various online applications for collecting information of sight-seeing. 6.5% of total
respondents i.e 13 respondents are disagreed that they have no plan to look at various online
applications for collecting information of sight-seeing. And 2% of total respondents i.e 4
respondents are strongly disagreed that they have plan to look at various online applications for
collecting information of sight-seeing. But, maximum number out of total respondents are agreed
and they have plan to look at various online applications for collecting information of sight-
seeing.
From the above graph, we can see that 31.8% of total respondents i.e 64 respondents are agreed
that they are intended to compare prices of the travel packages on various online packages.
34.8% of total respondents i.e 70 respondents are strongly agreed that they are intended to
compare prices of the travel packages on various online packages. Then, 23.4% of total
respondents i.e 47 respondents are neither agreed nor disagreed that they are intended to compare
prices of the travel packages on various online packages. 8% of total respondents i.e 16
respondents are disagreed and they are not intended to compare prices of the travel packages on
various online packages. And 2% of total respondents i.e 4 respondents are strongly disagreed
and they are not intended to compare prices of the travel packages on various online packages.
But, maximum number out of total respondents are agreed and they are intended to compare
prices of the travel packages on various online packages.
51. 51
From the above graph, we can see that 37.8% of total respondents i.e 76 respondents are agreed
that they are look forward to evaluate the photos and videos uploaded on social media by their
known travelers. 22.9% of total respondents i.e 46 respondents are strongly agreed that they are
look forward to evaluate the photos and videos uploaded on social media by their known
travelers. Then, about 29.4% of total respondents i.e 59 respondents are neither agreed nor
disagreed that they are look forward to evaluate the photos and videos uploaded on social media
by their known travelers. 6.5% of total respondents i.e 13 respondents are disagreed and they are
not look forward to evaluate the photos and videos uploaded on social media by their known
travelers. And 3.5% of total respondents i.e 7 respondents are strongly disagreed that they are not
look forward to evaluate the photos and videos uploaded on social media by their known
travelers. But, maximum number out of total respondents are agreed and they are look forward to
evaluate the photos and videos uploaded on social media by their known travelers.
52. 52
From the above graph, we can see that 34.3% of total respondents i.e 69 respondents are agreed
and they are going for online vacation trip booking whenever it gives huge discount. 21.4% of
total respondents i.e 43 respondents are strongly agreed that they are going for online vacation
trip booking whenever it gives huge discount. Then, about 30.8% of total respondents i.e 62
respondents are neither agreed nor disagreed that they are going for online vacation trip booking
whenever it gives huge discount. 8.5% of total respondents i.e 17 respondents are disagreed that
they are not going for online vacation trip booking whenever it gives huge discount. And about
5% of total respondents i.e 10 respondents are strongly disagreed that they are not going for
online vacation trip booking whenever it gives huge discount. But, maximum number out of total
respondents are agreed that they are going for online vacation trip booking whenever it gives
huge discount.
53. 53
From the above graph, we can see that 26.9% of total respondents i.e 54 respondents are agreed
that they bought tour packages regularly as it gives a comprehensive solution. 12.4% of total
respondents i.e 25 respondents are strongly agreed that they bought tour packages regularly as it
gives a comprehensive solution. Then, about 33.8% of total respondents i.e 68 respondents are
neither agreed nor disagreed that they bought tour packages regularly as it gives a comprehensive
solution. 19.4% of total respondents i.e 39 respondents are disagreed and they do not buy tour
packages regularly as it gives a comprehensive solution. And about 7.5% of total respondents i.e
15 respondents are strongly disagreed and they do not buy tour packages regularly as it gives a
comprehensive solution. But, maximum number out of total respondents are neither agreed nor
disagreed that they bought tour packages regularly as it gives a comprehensive solution.
54. 54
From the above graph, we can see that 27.4% of total respondents i.e 55 respondents are agreed
that social pressure motivates them every time to go for online booking. 13.9% of total
respondents i.e 28 respondents are strongly agreed that social pressure motivates them every time
to go for online booking. Then, 33.8% of total respondents i.e 68 respondents are neither agreed
nor disagreed that social pressure motivates them every time to go for online booking. About
15.4% of total respondents are disagreed and social pressure do not motivate them every time to
go for online booking. And 9.5% of total respondents i.e 19 respondents are strongly disagreed
and social pressure do not motivate them every time to go for online booking. But, maximum
number out of total respondents are neither agreed nor disagreed that social pressure motivates
them every time to go for online booking.
55. 55
From the above graph, we can see that 40.3% of total respondents i.e 81 respondents are agreed
that they kept on subscribing tour packages online since it was convenient. About 16.4% of total
respondents i.e 33 respondents are strongly agreed that they kept on subscribing tour packages
online since it was convenient. Then, 30.8% of total respondents i.e 62 respondents are neither
agreed nor disagreed that they kept on subscribing tour packages online since it was convenient.
About 9% of total respondents i.e 18 respondents are disagreed and they do not keep on
subscribing tour packages online since it was convenient. And about 3.5% of total respondents
i.e 7 respondents are strongly disagreed and they do not keet on subscribing tour packages online
since it was convenient. But, maximum number out of total respondents are agreed that they kept
on subscribing tour packages online since it was convenient.
57. 57
Recommendation
There should be more respondent for questionnaires.
The rural area should be covered as well as with urban areas across the country.
The study should more focus on authenticity of the information provided on social media
platforms.
59. 59
Conclusions
After analyzing all the data collected from questionnaires and further interpretation with factor
analysis and regression analysis, we came to know that Indian tourists are Collecting various
information before going a vacation trips through reviews available in the websites given by the
experienced tourists and they also gathered other travels related information like packages
through company’s websites and applications. Indian tourists are also very price sensitive, they
are comparing different prices, offer, and discounts given by various companies available in the
market. Whatever company giving more discounts, Indian tourists bought that packages. The
above mention points motivates tourists to buy holidays packages.
61. 61
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