Crowdfunding in the development of social media fanbase – case study of two c...Karan Menon
The aim of the explorative study is to understand the role of crowdfunding in the development of the fanbase using data from two recent cases of competing business ecosystems. We conducted an event study that employed social set analysis (SSA) of Facebook data to uncover and better understand the users’ interactions and brand associations before, during and after a crowdfunding campaign event. Key contribution of the study is the introduction of a new data source on co-creative interaction between companies and their customers, as well as an approach to support the study of ecosystems from a customer perspective. Our paper focuses especially on the role of Jolla’s tablet crowdfunding campaign in the development of its fanbase in relation with Nokia’s tablet launch during Slush 2014 event. We discuss the results, present substantive interpretations of the findings, implications of crowdfunding on fanbase development and conclude with directions for future work.
Putting the social into internal communication. By Rachel Miller @AllthingsICRachel Miller
Presentation given by Rachel Miller @AllthingsIC at #mkicomms event on 27 June 2013 for internal communication professionals in Milton Keynes in the UK.
Using social media for internal communicationRachel Miller
The document discusses using social media for internal communication. It provides examples of how social media can benefit organizations by opening new feedback channels, encouraging collaboration across silos, and acting as a searchable knowledge base. However, the document also cautions that most companies have not fully tapped the potential of social media due to lack of leadership and overemphasis on technology alone. It stresses that companies must develop social media strategies that engage workers and pull them into using new tools, rather than just implementing technologies.
This document outlines the dissertation of Naomi M. Mangatu titled "Beyond the Glass Ceiling: A Phenomenological Study of Women Managers in the Kenyan Banking Industry." The study explores the lived experiences of 24 women managers in Kenyan banks to understand factors contributing to or hindering their advancement to CEO positions. It uses a qualitative phenomenological research method and the van Kaam 7-step process for data analysis. The findings reveal that while women have made progress in their careers, few break through the glass ceiling to attain top leadership roles in Kenyan banks due to social pressures, cultural norms, and expectations that suppress women's advancement.
This document discusses a study on the effectiveness of social media marketing for promoting new products in technology industries. It includes a literature review on social media marketing and marketing in technology industries. The methodology section notes that the study will examine case studies of Lenovo and Fitbit on Facebook and Twitter through secondary research and statistical data analysis. The goal is to determine if social media can successfully promote new technology products.
This document presents a literature review of research articles that use clustering techniques to analyze social media data for marketing decisions. It identifies 20 relevant articles published between 2016-2020. The results are classified into tables based on the social media platform, clustering technique, type of analysis, field of study, and marketing objectives. K-means clustering of Twitter and Facebook data is most common. Sentiment analysis is the most used method. Various fields like travel, banking and education benefit from applying clustering to identify customer preferences and develop marketing strategies. The study highlights the value of clustering social media data for marketers but is limited by the small sample size.
Crowdfunding in the development of social media fanbase – case study of two c...Karan Menon
The aim of the explorative study is to understand the role of crowdfunding in the development of the fanbase using data from two recent cases of competing business ecosystems. We conducted an event study that employed social set analysis (SSA) of Facebook data to uncover and better understand the users’ interactions and brand associations before, during and after a crowdfunding campaign event. Key contribution of the study is the introduction of a new data source on co-creative interaction between companies and their customers, as well as an approach to support the study of ecosystems from a customer perspective. Our paper focuses especially on the role of Jolla’s tablet crowdfunding campaign in the development of its fanbase in relation with Nokia’s tablet launch during Slush 2014 event. We discuss the results, present substantive interpretations of the findings, implications of crowdfunding on fanbase development and conclude with directions for future work.
Putting the social into internal communication. By Rachel Miller @AllthingsICRachel Miller
Presentation given by Rachel Miller @AllthingsIC at #mkicomms event on 27 June 2013 for internal communication professionals in Milton Keynes in the UK.
Using social media for internal communicationRachel Miller
The document discusses using social media for internal communication. It provides examples of how social media can benefit organizations by opening new feedback channels, encouraging collaboration across silos, and acting as a searchable knowledge base. However, the document also cautions that most companies have not fully tapped the potential of social media due to lack of leadership and overemphasis on technology alone. It stresses that companies must develop social media strategies that engage workers and pull them into using new tools, rather than just implementing technologies.
This document outlines the dissertation of Naomi M. Mangatu titled "Beyond the Glass Ceiling: A Phenomenological Study of Women Managers in the Kenyan Banking Industry." The study explores the lived experiences of 24 women managers in Kenyan banks to understand factors contributing to or hindering their advancement to CEO positions. It uses a qualitative phenomenological research method and the van Kaam 7-step process for data analysis. The findings reveal that while women have made progress in their careers, few break through the glass ceiling to attain top leadership roles in Kenyan banks due to social pressures, cultural norms, and expectations that suppress women's advancement.
This document discusses a study on the effectiveness of social media marketing for promoting new products in technology industries. It includes a literature review on social media marketing and marketing in technology industries. The methodology section notes that the study will examine case studies of Lenovo and Fitbit on Facebook and Twitter through secondary research and statistical data analysis. The goal is to determine if social media can successfully promote new technology products.
This document presents a literature review of research articles that use clustering techniques to analyze social media data for marketing decisions. It identifies 20 relevant articles published between 2016-2020. The results are classified into tables based on the social media platform, clustering technique, type of analysis, field of study, and marketing objectives. K-means clustering of Twitter and Facebook data is most common. Sentiment analysis is the most used method. Various fields like travel, banking and education benefit from applying clustering to identify customer preferences and develop marketing strategies. The study highlights the value of clustering social media data for marketers but is limited by the small sample size.
Nowadays social media has become one of the largest gatherings of people in online. There are many ways for the industries to promote their products to the public through advertising. The variety of advertisement is increasing dramatically. Businessmen are so much dependent on the advertisement that significantly it really brought out success in the market and hence practiced by major industries. Thus, companies are trying hard to draw the attention of customers on social networks through online advertisement. One of the most popular social media is Twitter which is popular for short text sharing named ‘Tweet'. People here create their profile with basic information. To ensure the advertisements are shown to relative people, Twitter targets people based on language, gender, interest, follower, device, behaviour, tailored audiences, keyword, and geography targeting. Twitter generates interest sets based on their activities on Twitter. What our framework does is that it determines the topic of interest from a given list of Tweets if it has any. This process is called Entity Intersect Categorizing Value (EICV). Each category topic generates a set of words or phrases related to that topic. An entity set is created from processing tweets by keyword generation and Twitters data using Twitter API. Value of entities is matched with the set of categories. If they cross a threshold value, it results in the category which matched the desired interest category. For smaller amounts of data sizes, the results show that our framework performs with higher accuracy rate.
Nowadays social media has become one of the largest gatherings of people in online. There are many ways for the industries to promote their products to the public through advertising. The variety of advertisement is increasing dramatically. Businessmen are so much dependent on the advertisement that significantly it really brought out success in the market and hence practiced by major industries. Thus, companies are trying hard to draw the attention of customers on social networks through online advertisement. One of the most popular social media is Twitter which is popular for short text sharing named ‘Tweet'. People here create their profile with basic information. To ensure the advertisements are shown to relative people, Twitter targets people based on language, gender, interest, follower, device, behaviour, tailored audiences, keyword, and geography targeting. Twitter generates interest sets based on their activities on Twitter. What our framework does is that it determines the topic of interest from a given list of Tweets if it has any. This process is called Entity Intersect Categorizing Value (EICV). Each category topic generates a set of words or phrases related to that topic. An entity set is created from processing tweets by keyword generation and Twitters data using Twitter API. Value of entities is matched with the set of categories. If they cross a threshold value, it results in the category which matched the desired interest category. For smaller amounts of data sizes, the results show that our framework performs with higher accuracy rate.
DISCOVERING USERS TOPIC OF INTEREST FROM TWEETijcsit
Nowadays social media has become one of the largest gatherings of people in online. There are many ways
for the industries to promote their products to the public through advertising. The variety of advertisement is increasing dramatically. Businessmen are so much dependent on the advertisement that significantly it really brought out success in the market and hence practiced by major industries. Thus, companies are trying hard to draw the attention of customers on social networks through online advertisement. One of the
most popular social media is Twitter which is popular for short text sharing named ‘Tweet'. People here create their profile with basic information. To ensure the advertisements are shown to relative people, Twitter targets people based on language, gender, interest, follower, device, behaviour, tailored audiences,
keyword, and geography targeting. Twitter generates interest sets based on their activities on Twitter. What
our framework does is that it determines the topic of interest from a given list of Tweets if it has any. This
process is called Entity Intersect Categorizing Value (EICV). Each category topic generates a set of words
or phrases related to that topic. An entity set is created from processing tweets by keyword generation and
Twitters data using Twitter API. Value of entities is matched with the set of categories. If they cross a
threshold value, it results in the category which matched the desired interest category. For smaller amounts
of data sizes, the results show that our framework performs with higher accuracy rate.
An approach for evaluation of social...STIinnsbruck
This document describes an evaluation framework for social media monitoring tools. It proposes criteria to analyze these tools from three perspectives: concepts implemented, technologies used, and user interface. Concepts include analysis, insights, engagement, workflow management, and influence. Technologies include listening grid adjustment, near real-time processing, API integration, sentiment analysis, and access to historical data. The user interface is also important and should include a customizable dashboard and ability to export results. The evaluation framework is intended to help enterprises choose the right monitoring tool for their needs.
Understanding Online Consumer Purchase Behaviour for Varied Consumer Clusters...inventionjournals
: We are living in a digital age. The wave of digitalisation is in full swing to make its presence felt
in every sphere of life. It has not just challenged the geographical limitations narrowing the gaps between the
places that are situated faraway from each other and made the life easier with huge number of facilities but has
also influenced our attitudes and values. In such a situation, online shopping has started emerging as a popular
shopping option among urban and modernised consumers. Not all the consumers show similar trends while
using ecommerce. People of different clusters have different comfort zones as far as online shopping behaviour
is concerned. Product preferences vary with a change in demographics. Level of satisfaction is also different for
different set of consumers. Though window shopping is no longer an alien concept even for the internet
immigrants, purpose of use is certainly different for every age group. Literatures reveal that the attractive
features of the medium have tempted many researchers from time to time to throw light on lesser known areas
but there is still much to be explored. This paper is an endeavour to study about the potential of the medium to
market consumer electronics analysing in details the electronic shopping behaviour of different age groups. A
random survey has been conducted among the people of the age group of 19 – 35 (n – 100) and the samples
have been divided into four groups 19 – 22, 23 -26, 27 – 30 and 30 – 35. Reactions have been studied through
a questionnaire containing close ended questions. Analysis of data has been done through data graphs
AICTE Sponsored National Conference on “Artificial intelligence in Marketing”, Department of Management Studies, PSNA college of Engineering & Technology, Dindigul, Tamil Nadu, India on 23rd December 2020
social media has become a component of the community that has been adopted in business
operations, especially as a marketing tool in the retail fashion industry of Sri Lanka which is pushed by
technological advancements. Social commerce derived through social media supports the user's comfort with
occasions for seamless shopping experiences from discovery to checkout with virtual stores and in-app social
commerce. Hence, the research problem
1. The document discusses social media marketing and how it has become a major platform for advertising. It allows companies to connect with potential customers and get feedback on products through reviews.
2. Social media provides advantages for marketing like reducing costs and improving reach compared to traditional channels. It allows customizing products based on customer feedback and interactions.
3. The usage of social media and internet is increasing worldwide each year, opening new opportunities for companies to target audiences and leverage platforms to build their brand awareness. However, social media also presents challenges that require strategic planning.
Social Media Role in Improving Customer Relationship Management: An Empirical...journal ijrtem
The study aimed to identify the impact of Social media in improving customer relationship
management (CRM) at Jordanian Islamic banks (JIB), identify the impact of achieving the effectiveness of
Social media at JIB. To achieve the objectives of the study, the researcher prepared a questionnaire to measure
the role of Social media on CRM. The researcher selected the study sample randomly by distributing 365
questionnaires on the customers of JIB where (302) were retrieved. After reviewing the questionnaires, it was
found that there were (28) questionnaires invalid for the statistical analysis. Thus, the total number of
respondents was (274). In order to answer the study questions and test its hypotheses, the researcher extracted
the arithmetic means and standard deviations and applied the multiple regression equation. Accordingly, the
study reached too many results, most important of which is that there is a statistically significant effect for
Social media on achieving the effectiveness of the CRM. The study recommended the need that JIB seeks for
adding various characteristics of editing, deleting, copying, and setting time on the basis of text messaging
through such networks as well as the need of conducting marketing studies aimed to enabling banks to achieve
the customers' wishes in a method matching their expectations.
Social Media Role in Improving Customer Relationship Management: An Empirical...IJRTEMJOURNAL
The study aimed to identify the impact of Social media in improving customer relationship
management (CRM) at Jordanian Islamic banks (JIB), identify the impact of achieving the effectiveness of
Social media at JIB. To achieve the objectives of the study, the researcher prepared a questionnaire to measure
the role of Social media on CRM. The researcher selected the study sample randomly by distributing 365
questionnaires on the customers of JIB where (302) were retrieved. After reviewing the questionnaires, it was
found that there were (28) questionnaires invalid for the statistical analysis. Thus, the total number of
respondents was (274). In order to answer the study questions and test its hypotheses, the researcher extracted
the arithmetic means and standard deviations and applied the multiple regression equation. Accordingly, the
study reached too many results, most important of which is that there is a statistically significant effect for
Social media on achieving the effectiveness of the CRM. The study recommended the need that JIB seeks for
adding various characteristics of editing, deleting, copying, and setting time on the basis of text messaging
through such networks as well as the need of conducting marketing studies aimed to enabling banks to achieve
the customers' wishes in a method matching their expectations.
The Verification Of Virtual Community Member’s Socio-Demographic Profileacijjournal
This article considers the current problem of investigation and development of method of web-members’
socio-demographic characteristics’ profile validation based on analysis of socio-demographic
characteristics. The topicality of the paper is determined by the necessity to identify the web-community
member by means of computer-linguistic analysis of their information track (all information about webcommunity
members, which posted on the Internet). The formal model of basic socio-demographic
characteristics of virtual communities’ member is formed. The algorithm of these characteristics
verification is developed.
THE VERIFICATION OF VIRTUAL COMMUNITY MEMBER’S SOCIO-DEMOGRAPHIC PROFILE acijjournal
This article considers the current problem of investigation and development of method of web-members’
socio-demographic characteristics’ profile validation based on analysis of socio-demographic
characteristics. The topicality of the paper is determined by the necessity to identify the web-community
member by means of computer-linguistic analysis of their information track (all information about webcommunity
members, which posted on the Internet). The formal model of basic socio-demographic
characteristics of virtual communities’ member is formed. The algorithm of these characteristics
verification is developed.
IMPACT OF SOCIAL MEDIA MARKETING ON PURCHASE INTENTIONlobnaqassem
This study examined the impact of social media marketing on purchase intention and brand loyalty in Indonesia's banking industry. A survey of 286 respondents was conducted. The results found:
1) Social media marketing has a positive impact on both purchase intention and brand loyalty. Customers who engaged more with banks on social media were more likely to purchase from and remain loyal to those banks.
2) Purchase intention also positively impacts brand loyalty. Customers with a stronger intention to purchase from a bank in the future were more loyal to that bank's brand.
3) All hypotheses were supported, providing insights for both research and practice. Social media marketing can influence customer purchasing behaviors and long-term loyalty to bank brands in Indonesia.
This document discusses the evolution of social media and strategies for businesses. It explores how social media has changed through major platforms and innovations over time. It also examines how businesses can develop open leadership, build relationships with customers through social media, and prepare for potential disruptions by asking the right questions about creating value for customers. The document provides examples of companies that have successfully adapted their strategies, including Dell, Starbucks, Best Buy, and Salesforce.com. It analyzes emerging trends like gamification, curation, big data, and how "likes" function as a new type of social currency.
This document summarizes a literature review on the use of social media as a marketing tool. It begins by defining key terms related to social media and marketing, such as social media marketing, virtual brand communities, and factors that influence consumer attitudes. It then examines four main themes in current research: virtual brand communities and how they can influence consumer behavior; how consumer attitudes and motives are affected by social media use; the role of user-generated content; and the use of viral advertising. The review notes gaps in research, such as a lack of studies on the long-term promotional benefits of social media marketing for retailers.
Social business intelligence Review and research d.docxadkinspaige22
This document summarizes a literature review on social business intelligence (SBI). It identifies 83 relevant papers on SBI published between 2010-2016. The papers were collected from the Scopus database and include journal articles, conference papers, and book chapters. The review finds that SBI research is still emerging, with few standardized definitions and fragmented studies. It aims to analyze the current state of SBI research and identify priorities for future work.
Social business intelligence Review and research d.docxgertrudebellgrove
Social business intelligence: Review and research
directions
Helena Giotia, Stavros T. Ponisb* and Nikolaos Panayiotoub
a Hellenic Open University, Greece
b School of Mechanical Engineering, Section of Industrial Management and Operations
Research, National Technical University Athens, Greece
Corresponding author (*): [email protected]
Received 14 June 2018 Accepted 20 August 2018
ABSTRACT Social business intelligence (SBI) is a rather novel discipline, emerged in the
academic and business literature as a result of the convergence of two distinct research
domains: business intelligence (BI) and social media. Traditional BI scientists and practitioners,
after an inevitable initial shock, are currently discovering and acknowledge the potential of user
generated content (UGD) published in social media as an invaluable and inexhaustible source
of information capable of supporting a wide range of business activities. The confluence of these
two emerging domains is already producing new added value organizational processes and
enhanced business capabilities utilized by companies all over the world to effectively harness
social media data and analyze them in order to produce added value information such as
customer profiles and demographics, search habits, and social behaviors. Currently the SBI
domain is largely uncharted, characterized by controversial definitions of terms and concepts,
fragmented and isolated research efforts, obstacles created by proprietary data, systems and
technologies that are not mature yet. This paper aspires to be one of the few -to our knowledge-
contemporary efforts to explore the SBI scientific field, clarify definitions and concepts,
structure the documented research efforts in the area and finally formulate an agenda of future
research based on the identification of current research shortcomings and limitations.
KEYWORDS Βig data, business intelligence, review, social business intelligence, social media
1. INTRODUCTION
In the last decade, business intelligence (BI)
has proved, beyond any doubt, that it is a
rapidly expanding domain in both research and
business terms with the number of BI related
scientific publications and organizations
embracing BI methodologies, techniques, tools
and platforms rapidly increasing year by year.
This remarkable growth is directly connected
with the abundance of customer/user data as a
result of increased bandwidth, technological
advancements in information systems and
mobile applications and the explosion of user
generated content mostly materialized by
social media and other Web 2.0 platforms.
Nowadays, social media and BI are converging
faster than ever before. The confluence of these
two emerging domains is already producing
new added value organizational processes and
enhanced business capabilities utilized by
companies all over the world to effectively
harness social media data and analyze them in
order to produ.
How to Implement a Strategy: Transform Your Strategy with BSC Designer's Comp...Aleksey Savkin
The Strategy Implementation System offers a structured approach to translating stakeholder needs into actionable strategies using high-level and low-level scorecards. It involves stakeholder analysis, strategy decomposition, adoption of strategic frameworks like Balanced Scorecard or OKR, and alignment of goals, initiatives, and KPIs.
Key Components:
- Stakeholder Analysis
- Strategy Decomposition
- Adoption of Business Frameworks
- Goal Setting
- Initiatives and Action Plans
- KPIs and Performance Metrics
- Learning and Adaptation
- Alignment and Cascading of Scorecards
Benefits:
- Systematic strategy formulation and execution.
- Framework flexibility and automation.
- Enhanced alignment and strategic focus across the organization.
Nowadays social media has become one of the largest gatherings of people in online. There are many ways for the industries to promote their products to the public through advertising. The variety of advertisement is increasing dramatically. Businessmen are so much dependent on the advertisement that significantly it really brought out success in the market and hence practiced by major industries. Thus, companies are trying hard to draw the attention of customers on social networks through online advertisement. One of the most popular social media is Twitter which is popular for short text sharing named ‘Tweet'. People here create their profile with basic information. To ensure the advertisements are shown to relative people, Twitter targets people based on language, gender, interest, follower, device, behaviour, tailored audiences, keyword, and geography targeting. Twitter generates interest sets based on their activities on Twitter. What our framework does is that it determines the topic of interest from a given list of Tweets if it has any. This process is called Entity Intersect Categorizing Value (EICV). Each category topic generates a set of words or phrases related to that topic. An entity set is created from processing tweets by keyword generation and Twitters data using Twitter API. Value of entities is matched with the set of categories. If they cross a threshold value, it results in the category which matched the desired interest category. For smaller amounts of data sizes, the results show that our framework performs with higher accuracy rate.
Nowadays social media has become one of the largest gatherings of people in online. There are many ways for the industries to promote their products to the public through advertising. The variety of advertisement is increasing dramatically. Businessmen are so much dependent on the advertisement that significantly it really brought out success in the market and hence practiced by major industries. Thus, companies are trying hard to draw the attention of customers on social networks through online advertisement. One of the most popular social media is Twitter which is popular for short text sharing named ‘Tweet'. People here create their profile with basic information. To ensure the advertisements are shown to relative people, Twitter targets people based on language, gender, interest, follower, device, behaviour, tailored audiences, keyword, and geography targeting. Twitter generates interest sets based on their activities on Twitter. What our framework does is that it determines the topic of interest from a given list of Tweets if it has any. This process is called Entity Intersect Categorizing Value (EICV). Each category topic generates a set of words or phrases related to that topic. An entity set is created from processing tweets by keyword generation and Twitters data using Twitter API. Value of entities is matched with the set of categories. If they cross a threshold value, it results in the category which matched the desired interest category. For smaller amounts of data sizes, the results show that our framework performs with higher accuracy rate.
DISCOVERING USERS TOPIC OF INTEREST FROM TWEETijcsit
Nowadays social media has become one of the largest gatherings of people in online. There are many ways
for the industries to promote their products to the public through advertising. The variety of advertisement is increasing dramatically. Businessmen are so much dependent on the advertisement that significantly it really brought out success in the market and hence practiced by major industries. Thus, companies are trying hard to draw the attention of customers on social networks through online advertisement. One of the
most popular social media is Twitter which is popular for short text sharing named ‘Tweet'. People here create their profile with basic information. To ensure the advertisements are shown to relative people, Twitter targets people based on language, gender, interest, follower, device, behaviour, tailored audiences,
keyword, and geography targeting. Twitter generates interest sets based on their activities on Twitter. What
our framework does is that it determines the topic of interest from a given list of Tweets if it has any. This
process is called Entity Intersect Categorizing Value (EICV). Each category topic generates a set of words
or phrases related to that topic. An entity set is created from processing tweets by keyword generation and
Twitters data using Twitter API. Value of entities is matched with the set of categories. If they cross a
threshold value, it results in the category which matched the desired interest category. For smaller amounts
of data sizes, the results show that our framework performs with higher accuracy rate.
An approach for evaluation of social...STIinnsbruck
This document describes an evaluation framework for social media monitoring tools. It proposes criteria to analyze these tools from three perspectives: concepts implemented, technologies used, and user interface. Concepts include analysis, insights, engagement, workflow management, and influence. Technologies include listening grid adjustment, near real-time processing, API integration, sentiment analysis, and access to historical data. The user interface is also important and should include a customizable dashboard and ability to export results. The evaluation framework is intended to help enterprises choose the right monitoring tool for their needs.
Understanding Online Consumer Purchase Behaviour for Varied Consumer Clusters...inventionjournals
: We are living in a digital age. The wave of digitalisation is in full swing to make its presence felt
in every sphere of life. It has not just challenged the geographical limitations narrowing the gaps between the
places that are situated faraway from each other and made the life easier with huge number of facilities but has
also influenced our attitudes and values. In such a situation, online shopping has started emerging as a popular
shopping option among urban and modernised consumers. Not all the consumers show similar trends while
using ecommerce. People of different clusters have different comfort zones as far as online shopping behaviour
is concerned. Product preferences vary with a change in demographics. Level of satisfaction is also different for
different set of consumers. Though window shopping is no longer an alien concept even for the internet
immigrants, purpose of use is certainly different for every age group. Literatures reveal that the attractive
features of the medium have tempted many researchers from time to time to throw light on lesser known areas
but there is still much to be explored. This paper is an endeavour to study about the potential of the medium to
market consumer electronics analysing in details the electronic shopping behaviour of different age groups. A
random survey has been conducted among the people of the age group of 19 – 35 (n – 100) and the samples
have been divided into four groups 19 – 22, 23 -26, 27 – 30 and 30 – 35. Reactions have been studied through
a questionnaire containing close ended questions. Analysis of data has been done through data graphs
AICTE Sponsored National Conference on “Artificial intelligence in Marketing”, Department of Management Studies, PSNA college of Engineering & Technology, Dindigul, Tamil Nadu, India on 23rd December 2020
social media has become a component of the community that has been adopted in business
operations, especially as a marketing tool in the retail fashion industry of Sri Lanka which is pushed by
technological advancements. Social commerce derived through social media supports the user's comfort with
occasions for seamless shopping experiences from discovery to checkout with virtual stores and in-app social
commerce. Hence, the research problem
1. The document discusses social media marketing and how it has become a major platform for advertising. It allows companies to connect with potential customers and get feedback on products through reviews.
2. Social media provides advantages for marketing like reducing costs and improving reach compared to traditional channels. It allows customizing products based on customer feedback and interactions.
3. The usage of social media and internet is increasing worldwide each year, opening new opportunities for companies to target audiences and leverage platforms to build their brand awareness. However, social media also presents challenges that require strategic planning.
Social Media Role in Improving Customer Relationship Management: An Empirical...journal ijrtem
The study aimed to identify the impact of Social media in improving customer relationship
management (CRM) at Jordanian Islamic banks (JIB), identify the impact of achieving the effectiveness of
Social media at JIB. To achieve the objectives of the study, the researcher prepared a questionnaire to measure
the role of Social media on CRM. The researcher selected the study sample randomly by distributing 365
questionnaires on the customers of JIB where (302) were retrieved. After reviewing the questionnaires, it was
found that there were (28) questionnaires invalid for the statistical analysis. Thus, the total number of
respondents was (274). In order to answer the study questions and test its hypotheses, the researcher extracted
the arithmetic means and standard deviations and applied the multiple regression equation. Accordingly, the
study reached too many results, most important of which is that there is a statistically significant effect for
Social media on achieving the effectiveness of the CRM. The study recommended the need that JIB seeks for
adding various characteristics of editing, deleting, copying, and setting time on the basis of text messaging
through such networks as well as the need of conducting marketing studies aimed to enabling banks to achieve
the customers' wishes in a method matching their expectations.
Social Media Role in Improving Customer Relationship Management: An Empirical...IJRTEMJOURNAL
The study aimed to identify the impact of Social media in improving customer relationship
management (CRM) at Jordanian Islamic banks (JIB), identify the impact of achieving the effectiveness of
Social media at JIB. To achieve the objectives of the study, the researcher prepared a questionnaire to measure
the role of Social media on CRM. The researcher selected the study sample randomly by distributing 365
questionnaires on the customers of JIB where (302) were retrieved. After reviewing the questionnaires, it was
found that there were (28) questionnaires invalid for the statistical analysis. Thus, the total number of
respondents was (274). In order to answer the study questions and test its hypotheses, the researcher extracted
the arithmetic means and standard deviations and applied the multiple regression equation. Accordingly, the
study reached too many results, most important of which is that there is a statistically significant effect for
Social media on achieving the effectiveness of the CRM. The study recommended the need that JIB seeks for
adding various characteristics of editing, deleting, copying, and setting time on the basis of text messaging
through such networks as well as the need of conducting marketing studies aimed to enabling banks to achieve
the customers' wishes in a method matching their expectations.
The Verification Of Virtual Community Member’s Socio-Demographic Profileacijjournal
This article considers the current problem of investigation and development of method of web-members’
socio-demographic characteristics’ profile validation based on analysis of socio-demographic
characteristics. The topicality of the paper is determined by the necessity to identify the web-community
member by means of computer-linguistic analysis of their information track (all information about webcommunity
members, which posted on the Internet). The formal model of basic socio-demographic
characteristics of virtual communities’ member is formed. The algorithm of these characteristics
verification is developed.
THE VERIFICATION OF VIRTUAL COMMUNITY MEMBER’S SOCIO-DEMOGRAPHIC PROFILE acijjournal
This article considers the current problem of investigation and development of method of web-members’
socio-demographic characteristics’ profile validation based on analysis of socio-demographic
characteristics. The topicality of the paper is determined by the necessity to identify the web-community
member by means of computer-linguistic analysis of their information track (all information about webcommunity
members, which posted on the Internet). The formal model of basic socio-demographic
characteristics of virtual communities’ member is formed. The algorithm of these characteristics
verification is developed.
IMPACT OF SOCIAL MEDIA MARKETING ON PURCHASE INTENTIONlobnaqassem
This study examined the impact of social media marketing on purchase intention and brand loyalty in Indonesia's banking industry. A survey of 286 respondents was conducted. The results found:
1) Social media marketing has a positive impact on both purchase intention and brand loyalty. Customers who engaged more with banks on social media were more likely to purchase from and remain loyal to those banks.
2) Purchase intention also positively impacts brand loyalty. Customers with a stronger intention to purchase from a bank in the future were more loyal to that bank's brand.
3) All hypotheses were supported, providing insights for both research and practice. Social media marketing can influence customer purchasing behaviors and long-term loyalty to bank brands in Indonesia.
This document discusses the evolution of social media and strategies for businesses. It explores how social media has changed through major platforms and innovations over time. It also examines how businesses can develop open leadership, build relationships with customers through social media, and prepare for potential disruptions by asking the right questions about creating value for customers. The document provides examples of companies that have successfully adapted their strategies, including Dell, Starbucks, Best Buy, and Salesforce.com. It analyzes emerging trends like gamification, curation, big data, and how "likes" function as a new type of social currency.
This document summarizes a literature review on the use of social media as a marketing tool. It begins by defining key terms related to social media and marketing, such as social media marketing, virtual brand communities, and factors that influence consumer attitudes. It then examines four main themes in current research: virtual brand communities and how they can influence consumer behavior; how consumer attitudes and motives are affected by social media use; the role of user-generated content; and the use of viral advertising. The review notes gaps in research, such as a lack of studies on the long-term promotional benefits of social media marketing for retailers.
Social business intelligence Review and research d.docxadkinspaige22
This document summarizes a literature review on social business intelligence (SBI). It identifies 83 relevant papers on SBI published between 2010-2016. The papers were collected from the Scopus database and include journal articles, conference papers, and book chapters. The review finds that SBI research is still emerging, with few standardized definitions and fragmented studies. It aims to analyze the current state of SBI research and identify priorities for future work.
Social business intelligence Review and research d.docxgertrudebellgrove
Social business intelligence: Review and research
directions
Helena Giotia, Stavros T. Ponisb* and Nikolaos Panayiotoub
a Hellenic Open University, Greece
b School of Mechanical Engineering, Section of Industrial Management and Operations
Research, National Technical University Athens, Greece
Corresponding author (*): [email protected]
Received 14 June 2018 Accepted 20 August 2018
ABSTRACT Social business intelligence (SBI) is a rather novel discipline, emerged in the
academic and business literature as a result of the convergence of two distinct research
domains: business intelligence (BI) and social media. Traditional BI scientists and practitioners,
after an inevitable initial shock, are currently discovering and acknowledge the potential of user
generated content (UGD) published in social media as an invaluable and inexhaustible source
of information capable of supporting a wide range of business activities. The confluence of these
two emerging domains is already producing new added value organizational processes and
enhanced business capabilities utilized by companies all over the world to effectively harness
social media data and analyze them in order to produce added value information such as
customer profiles and demographics, search habits, and social behaviors. Currently the SBI
domain is largely uncharted, characterized by controversial definitions of terms and concepts,
fragmented and isolated research efforts, obstacles created by proprietary data, systems and
technologies that are not mature yet. This paper aspires to be one of the few -to our knowledge-
contemporary efforts to explore the SBI scientific field, clarify definitions and concepts,
structure the documented research efforts in the area and finally formulate an agenda of future
research based on the identification of current research shortcomings and limitations.
KEYWORDS Βig data, business intelligence, review, social business intelligence, social media
1. INTRODUCTION
In the last decade, business intelligence (BI)
has proved, beyond any doubt, that it is a
rapidly expanding domain in both research and
business terms with the number of BI related
scientific publications and organizations
embracing BI methodologies, techniques, tools
and platforms rapidly increasing year by year.
This remarkable growth is directly connected
with the abundance of customer/user data as a
result of increased bandwidth, technological
advancements in information systems and
mobile applications and the explosion of user
generated content mostly materialized by
social media and other Web 2.0 platforms.
Nowadays, social media and BI are converging
faster than ever before. The confluence of these
two emerging domains is already producing
new added value organizational processes and
enhanced business capabilities utilized by
companies all over the world to effectively
harness social media data and analyze them in
order to produ.
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2. “We don’t have a choice on whether
we do social media, the question is
how well we do it.”
(Erik Qualman, author of Socialnomics)
3. Why?
Potential of social media use in other disciplines
- networking, information sharing & communication in
MKT
(Kho, 2008)
Procurement gaining strategic importance (Kraljic, 1983)
Why not utilize it? (intersects with MRT)
5. Social media
tools that offer users the ability to interact, share
and receive information when online, under an
established framework (wiki tools, blogs, social
networking sites)
6. Added value
“A company’s value chain is the entity throughout which
all the stakeholders involved are expected to increase the
value offered to the end customer”
(van Weele, 2010)
7. Research objectives
Theoretical: contribution to theory on how social
media use can enhance procurement value
Practical: offer some best practices of social media use
to procurement professionals
8. Conceptual model (1)
Comprehensive literature review to:
Acknowledge motives for social media use
Form hypotheses in how SM use can increase
procurement value
10. Research method (theory building)
2 Parts:
1st part: secondary data collection in order to assess
content of interaction, purpose of use
2nd part: interviews in order to assess the perceived
added value of SM by professionals
11. Part 1 (secondary data)
15 twitter accounts, 1238 tweets collected manually
Discussions in 3 LinkedIn groups (procurement
related) & LinkedIn questionnaire
Procurement blogs (procurementleaders,
spendmatters etc)
15. Part 2 (qualitative interviews)
20 minute interviews with 5 purchasing professionals
from major FMCG (Danone)
FMCG highly segmented market with high competition
and low margins, any tool can be useful
16. Result analysis (content)
Interactive tweets: 6.57%
Information 80.29%
sharing tweets:
Re-tweets: 13.14%
18. Conclusions…
According to both the interviews and 1st part of research:
Social media is used by procurement professionals in a
voyeuristic manner (Rojemeijer et al.,2012) with the aim of
gaining access to information, thus increasing market
intelligence
Barriers:
Lack of frameworks and rules that contextualize
information, thus save time
Skepticism about IP risks
19. Implications
Academic: effort to address a new topic provides some
directions for future research, as well as some insight on
how social media can affect buyer-supplier relationships
Managerial: current practices of SM use, that can be
used in order for professionals to better incorporate it in
their everyday work
Editor's Notes
I would like to thank you all for taking the time to be here this afternoon, my supply chain colleagues, my coach, Melek, my co-reader’s substitute ….. So, with no further delay, the topic of my research is “added value of social media in procurement”.
This is a quote by Erik Qualman, the author of “Socialnomics”, that reveals the importance and wide expansionOf social media in business, one of the reasons this topic was selected. It is safe to assume that everyone in hereIs familiar with at least one form of social media platforms (since 90% of internet users are). We all have seenAdvertisements on facebook, are aware of the head-hunting that takes place in LinkedIn or are following someSuccessful entrepreneur (Bill Gates, Warren Buffet etc) on twitter.
So, in short, to present some of the reasons this topic was selected: after comprehensive literature review fromother disciplines, the main advantages of social media were recognized to be networking, exposure and communication,Which, in combination with the strategic nature of procurement, were assumed to pose an advantage forThe procurement strategic mix, through relationships with the suppliers. A gap in comprehensive theory, for that matterwas detected. To present the main notions that were the drives in this research:
Borrowing theMonczka framework for procurement (which I understand is a very popular one), the main functionsOf procurement are presented. Skipping the first 3 boxes, the research is focused on the fourth aspect. Therefore,The development and management of supplier relationships. Important to note here, that this research only takes intoAccount the relationships of professionals with suppliers, and not with other stakeholders.
Social media are all the tools, such as wiki, blogs and networking sites that allow users to create, share and receiveInformation online, in a collaborative manner, which was made possible by the emergence of the Web 2.0 architecture.Examples we all are more familiar with are LinkedIn, twitter, facebook, Wikipedia etc
Combining the two aforementioned definitions, in order to reach to the formation of the research topic, is this last definitionof the “value chain”, borrowed by van Weele (probably the most popular name throughout my thesis): “a company’s valueChain is the entity through which all the stakeholders involved and expected to increase the value offered to the end customer”.But this value chain starts with procurement, therefore a logical assumption here is that something that starts successfullyhas more chances to progress as such. Therefore, why not utilize all media available, in order to facilitate the procurement function?
With the definitions and topic in mind, the time feels right to present the research main objectives: the theoretical objective, which was primarily the reason for choosing this topic, is to acknowledge ways in which SM use by procurement can enhancethe procurement input, whereas the practical objective, which was recognized after the proposal was handed in (after all, a master thesis is a work in progress), was to offer some best practices of SM use to professionals in order to facilitate their Everyday work.
Following the research objectives, comprehensive literature review was conducted in order to: a) acknowledge the motivesFor social media use and b) form hypotheses in how social media can facilitate the procurement strategic mix and increaseThe added value.
Therefore, after building up the suspense, the conceptual model of the research is presented: on the left we have the Incentives for social media use by procurement and on the right the antecedents of use, meaning ways to add value.
To test the conceptual model of the research, 2 steps were followed: the first step includes a collection of secondary dataFrom twitter and LinkedIn in an effort to address the purpose of social media use, and the second step where qualitative Interviews were attempted in order to assess the perceived added value of social media use by professionals.
More analytically: For the first part, 15 twitter accounts related to procurement were traced back to 1 month, as well as LinkedInDiscussions from procurement related groups. Off course, not to forget all the blogs that were used duing the theoretical reviewPhase.
These pictures show the way in which twitter data were selected. Funny thing: the account on the left is not the one on the Right, but I understood this just today.
This is an attempt to collect LinkedIn opinions for my topic, but the participation was too small for it to be considered significant.
Here are 2 blogs that were used in order to collect information relevant to this research.
Reaching the second part of the research: interviews with purchasers from Danone took place in an effort to address the perceived added value of social media use in purchasing, potential best practices of use and current level of use.
To continue, the results of the first step of the research clearly indicate the reason social media is merely used as a tool, whereas other aspects, such as networking are left unutilized. The case is the same with the LinkedIn discussions, where theMost popular posts are the ones that share best practices, advice etc.
Therefore, according to the interview results, combined with the first step data collection, the conceptual model of the researchis formed as such: one hypothesis is fully supported, whereas one is partly supported and the rest are neglected. Hence, the mommentFeels right to present the research conclusions:
we reach to the research conclusions that emerged from combining the 2 aforementioned steps: social media is used by professionals in a voyeuristic manner, meaning a more passive behavior, since their main objective is to collect information and gain access to some best practices. There is a lot of skepticism on whether social media can assist in other ways in the future, but certainly some problematic areas that can enhance their usefulness were mentioned to be the existence of mechanisms that a) contextualize information and b) reduce IP risks.
After briefly discussing the thesis, it is now the time to present the research implications. The managerial ones reveal ways in which social media can be used as an information mining tool in order to increase industry knowledge, trends and best practices. Regarding the academic implications, this research can definitely be the base for a lot more research to follow, since an unexplored topic was attempted. Apart from that, an attempt towards showing the connection between social media use and buyer-supplier relationships, as well as SM impact to procurement performance took place.