an article by Vladlena Benson and Chris Hand (Kingston Business School, UK) and Jean-Noel Ezingeard (Manchester Metropolitan University, UK) published in Information Technology & People Volume 32 Issue 4 (2019)
Abstract
Purpose
Social media users’ purchasing behaviour is yet to be fully understood by research. The purpose of this paper is to investigate how purchase intention is affected by social media user traits, cognitive factors (such as perceived control and trust) and individual beliefs, such as risk propensity and trustworthiness.
Design/methodology/approach
The authors propose and empirically test a model of purchase intention on social platforms. The study of over 500 active social media users finds the links between risk propensity, trust, technical efficacy and perceived control and explores the moderating effect of age and gender.
Findings
Purchase intention on social platforms is influenced by demographic factors, cognitive factors and beliefs. Both age and gender moderate the effects of beliefs and cognitive factors: age is a determinant of purchase intention for men, while beliefs are significant for younger women and cognitive factors are significant for older women.
Research limitations/implications
This study involved a cross-sectional design via online survey of social networking users. Gender differences in purchase intentions are found which are, in turn, influenced by age. Further empirical testing of social purchase intention could include less experienced users or non-users.
Practical implications
The results of this study provide guidance for SNS providers and technology developers in social networking commerce in terms of the different drivers of purchase intention.
Originality/value
Social media users’ purchasing behaviour is yet to be fully understood. The study shows that purchase intention antecedents vary between genders and age groups of users. The identified connection between users’ perceptions of social networking sites (SNS) usage of personal information and purchase behaviour has an impact on the likelihood of user engagement in social transactions.
Showing posts with label information_sharing. Show all posts
Showing posts with label information_sharing. Show all posts
Monday, 14 October 2019
Tuesday, 18 April 2017
Examining privacy settings on online social networks: a protection motivation perspective
an article by Tziporah Stern and Nanda Kumar (City University of New York, USA) published in International Journal of Electronic Business Volume 13 Number 2/3 )(2017)
Abstract
The easy accessibility of information on online social networks (OSN) such as Facebook, has boosted the significance of ‘privacy settings’ as a front-line of defence against information misuse.
In this study a model is built based on the intersection of protection motivation theory (PMT), social exchange theory (SET), and privacy risk research to examine behaviour through both the use of privacy settings (adaptive/desirable behaviour) and the non-use of privacy settings (measuring maladaptive coping response). To validate the model a survey is conducted.
Strong support was found for the mediating role played by PMT variables-cost, benefits, risk, and efficacy – on both maladaptive coping and adaptive behaviour. This research successfully applies PMT in the information privacy context and operationalises adaptive behaviour in a unique, but thus far unexplored, manner. It also identifies important risk antecedents to the PMT model which help further explain privacy on OSN.
Abstract
The easy accessibility of information on online social networks (OSN) such as Facebook, has boosted the significance of ‘privacy settings’ as a front-line of defence against information misuse.
In this study a model is built based on the intersection of protection motivation theory (PMT), social exchange theory (SET), and privacy risk research to examine behaviour through both the use of privacy settings (adaptive/desirable behaviour) and the non-use of privacy settings (measuring maladaptive coping response). To validate the model a survey is conducted.
Strong support was found for the mediating role played by PMT variables-cost, benefits, risk, and efficacy – on both maladaptive coping and adaptive behaviour. This research successfully applies PMT in the information privacy context and operationalises adaptive behaviour in a unique, but thus far unexplored, manner. It also identifies important risk antecedents to the PMT model which help further explain privacy on OSN.
Monday, 27 March 2017
Privacy and Territoriality Issues in an Online Social Learning Portal
an article by Mohd Anwar (North Carolina A&T State University, Greensboro, NC, USA) and Peter Brusilovsky (University of Pittsburgh, Pittsburgh, PA, USA) published in International Journal of Information Security and Privacy Volume 11 Issue 1 (January-March 2017)
Abstract
Following the popularity of Wikipedia, community authoring systems are increasingly in use as content sharing outlets.
As such, a Web-based portal for sharing of user-generated content (e.g., course notes, quiz answers, etc.) shows prospect to be a great tool for social E-Learning. Among others, students are expected to be active contributors in such systems in order to offer and receive peer-help. However, privacy and territoriality concerns can be potential barriers to wide adoption of such technology.
Understanding the preference for sharing learning content is the first step to address privacy and territoriality concerns of content providers. The authors conduct a survey among students in four university courses in order to learn their preference for sharing notes and quiz answers with three target groups: instructor, peer, and stranger (i.e., someone outside their class).
The authors also examine the preference for acceptable method of sharing by inquiring about three methods: “anonymous sharing,” “pseudonymous sharing,” and “sharing with name”. They further investigate the importance of “content type,” “sharing method,” and “accessor type” on the preference for sharing.
The survey also reveals respondents’ self-reported reasons for controlling access to their generated learning content. The survey data indicate that even though the respondents have various levels of concerns, almost all of them are willing to share.
The authors observe relationships between content type and respondents’ preference over each of these parameters: accessor type, commentator type, and sharing method.
Abstract
Following the popularity of Wikipedia, community authoring systems are increasingly in use as content sharing outlets.
As such, a Web-based portal for sharing of user-generated content (e.g., course notes, quiz answers, etc.) shows prospect to be a great tool for social E-Learning. Among others, students are expected to be active contributors in such systems in order to offer and receive peer-help. However, privacy and territoriality concerns can be potential barriers to wide adoption of such technology.
Understanding the preference for sharing learning content is the first step to address privacy and territoriality concerns of content providers. The authors conduct a survey among students in four university courses in order to learn their preference for sharing notes and quiz answers with three target groups: instructor, peer, and stranger (i.e., someone outside their class).
The authors also examine the preference for acceptable method of sharing by inquiring about three methods: “anonymous sharing,” “pseudonymous sharing,” and “sharing with name”. They further investigate the importance of “content type,” “sharing method,” and “accessor type” on the preference for sharing.
The survey also reveals respondents’ self-reported reasons for controlling access to their generated learning content. The survey data indicate that even though the respondents have various levels of concerns, almost all of them are willing to share.
The authors observe relationships between content type and respondents’ preference over each of these parameters: accessor type, commentator type, and sharing method.
Thursday, 26 July 2012
Information Architectures for Information Sharing Management – A Literature Review
an article by Shuyan Xie, Markus Helfert and Lukasz Ostrowski (Dublin City University, Ireland) published in Journal of Information & Knowledge Management Volume 11 Issue 2 (June 2012)
Abstract
The struggle for commercial supremacy through information is being fought on two points: information management and enabling technologies.
Over the last years, there has been an increasing focus on information architecture (IA) to help organisations distinguish and manage information as corporate resource. As the information complexity increases, more IA studies show that IA could provide the structural and process design to facilitate enterprise interoperation under the information sharing environment.
However, limited IA has been addressed for the usage of managing the information sharing. Motivated by this observation, this paper presents a literature review that IA can be used to understand and manage information sharing, utilising the enterprise information resource statically and dynamically through IA implementation.
First, enterprise IA description and definition are presented. Second, we analyse IA from a static and dynamic view to reveal the research streams on an architectural approach for information sharing management. Third, contributions and limitations are discussed.
It is finally concluded by providing future IA research directions and implications for empirical applications. Our research illustrates that IA deployment imposes a positive influence on information sharing management.
Abstract
The struggle for commercial supremacy through information is being fought on two points: information management and enabling technologies.
Over the last years, there has been an increasing focus on information architecture (IA) to help organisations distinguish and manage information as corporate resource. As the information complexity increases, more IA studies show that IA could provide the structural and process design to facilitate enterprise interoperation under the information sharing environment.
However, limited IA has been addressed for the usage of managing the information sharing. Motivated by this observation, this paper presents a literature review that IA can be used to understand and manage information sharing, utilising the enterprise information resource statically and dynamically through IA implementation.
First, enterprise IA description and definition are presented. Second, we analyse IA from a static and dynamic view to reveal the research streams on an architectural approach for information sharing management. Third, contributions and limitations are discussed.
It is finally concluded by providing future IA research directions and implications for empirical applications. Our research illustrates that IA deployment imposes a positive influence on information sharing management.
Monday, 26 May 2008
Information behaviour meets social capital: a conceptual model
an article by Gunilla Widén-Wulff, Stefan Ek, Mariam Ginman, Reija Perttilä, Pia Södergård and Anna-Karin Tötterman (Åbo Akademi University, Finland) in Journal of Information Science Volume 34 Number 3 (2008)
Abstract
Much research has been done on the favourable influence of social environment and social networks on knowledge production. The aim of this article is to design a theoretical framework where both information behaviour (IB) research and social capital (SC) research are integrated. Integrating these areas is seen as an advantage when focusing on the social construction of knowledge, and a model is proposed to illuminate sources and consequences of social capital and knowledge sharing. This framework will function as a basis on which to build when the authors proceed with a number of empirical studies involving the university context, social networks of the unemployed, and virtual networks of young people.
Abstract
Much research has been done on the favourable influence of social environment and social networks on knowledge production. The aim of this article is to design a theoretical framework where both information behaviour (IB) research and social capital (SC) research are integrated. Integrating these areas is seen as an advantage when focusing on the social construction of knowledge, and a model is proposed to illuminate sources and consequences of social capital and knowledge sharing. This framework will function as a basis on which to build when the authors proceed with a number of empirical studies involving the university context, social networks of the unemployed, and virtual networks of young people.
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