Access the full text.
Sign up today, get DeepDyve free for 14 days.
Anol Bhattacherjee, G. Premkumar (2004)
Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal TestMIS Q., 28
Xianghua Lu, C. Phang, Jie Yu (2011)
Encouraging participation in virtual communities through usability and sociability development: an empirical investigationData Base, 42
V. Venkatesh, Fred Davis (2000)
A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field StudiesManagement Science, 46
C. Wiertz, Ko Ruyter (2007)
Beyond the Call of Duty: Why Customers Contribute to Firm-hosted Commercial Online CommunitiesOrganization Studies, 28
S. Utz (2009)
'Egoboo' vs. altruism: the role of reputation in online consumer communitiesNew Media & Society, 11
C. Wagner, Lily Liu, C. Schneider, P. Prasarnphanich, Hua-ping Chen (2009)
Creating a successful professional virtual community: A sustainable digital ecosystem for idea sharing2009 3rd IEEE International Conference on Digital Ecosystems and Technologies
Wynne Chin (2010)
How to Write Up and Report PLS Analyses
K. Al-Busaidi, L. Olfman (2017)
Knowledge sharing through inter-organizational knowledge sharing systemsVine, 47
M. Couper, A. Kapteyn, Matthias Schonlau, J. Winter (2007)
Noncoverage and nonresponse in an Internet surveySocial Science Research, 36
R. Saadé (2007)
Dimensions of Perceived Usefulness: Toward Enhanced Assessment.Decision Sciences Journal of Innovative Education, 5
M. Csíkszentmihályi (1990)
Flow. The Psychology of Optimal Experience. New York (HarperPerennial) 1990.
Joseph Hair, C. Ringle, M. Sarstedt (2011)
PLS-SEM: Indeed a Silver BulletJournal of Marketing Theory and Practice, 19
J. Eccles, Allan Wigfield (2002)
Motivational beliefs, values, and goals.Annual review of psychology, 53
I. Chen (2007)
The factors influencing members' continuance intentions in professional virtual communities — a longitudinal studyJournal of Information Science, 33
Joon-Sung Koh, Young-Gul Kim (2003)
Sense of Virtual Community: A Conceptual Framework and Empirical ValidationInternational Journal of Electronic Commerce, 8
V. Venkatesh, Hillol Bala (2008)
Technology Acceptance Model 3 and a Research Agenda on InterventionsDecis. Sci., 39
Anol Bhattacherjee (2001)
Understanding Information Systems Continuance: An Expectation-Confirmation ModelMIS Q., 25
Stefan Fries, Sebastian Schmid, M. Hofer (2007)
On the relationship between value orientation, valences, and academic achievementEuropean Journal of Psychology of Education, 22
R. Yeh, J. Teng (2012)
Extended conceptualisation of perceived usefulness: empirical test in the context of information system use continuanceBehaviour & Information Technology, 31
K. Saeed, Sue Abdinnour-Helm (2008)
Examining the effects of information system characteristics and perceived usefulness on post adoption usage of information systemsInf. Manag., 45
M. Wasko, Samer Faraj (2005)
Why Should I Share? Examining Social Capital and Knowledge Contribution in Electronic Networks of PracticeMIS Q., 29
Zhijun Yan, Tianmei Wang, Yi Chen, Han Zhang (2016)
Knowledge sharing in online health communities: A social exchange theory perspectiveInf. Manag., 53
Chao-Min Chiu, Eric Wang (2007)
Understanding Knowledge Sharing in Virtual Communities: An Integration of Expectancy Disconfirmation and Justice Theories
R. Saadé, B. Bahli (2005)
The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance modelInf. Manag., 42
Catherine Ridings, D. Gefen, B. Arinze (2002)
Some antecedents and effects of trust in virtual communitiesJ. Strateg. Inf. Syst., 11
Matthew Lee, Christy Cheung, Kai Lim, C. Sia (2006)
Understanding customer knowledge sharing in web-based discussion boards: An exploratory studyInternet Res., 16
Chao-Min Chiu, Eric Wang (2008)
Understanding Web-based learning continuance intention: The role of subjective task valueInf. Manag., 45
Yixiang Zhang, Yulin Fang, K. Wei, Hua-ping Chen (2010)
Exploring the role of psychological safety in promoting the intention to continue sharing knowledge in virtual communitiesInt. J. Inf. Manag., 30
C. Fornell, D. Larcker (1981)
Evaluating structural equation models with unobservable variables and measurement error.Journal of Marketing Research, 18
Christy Cheung, Matthew Lee, Zach Lee (2013)
Understanding the continuance intention of knowledge sharing in online communities of practice through the post-knowledge-sharing evaluation processesJ. Assoc. Inf. Sci. Technol., 64
Chao-Min Chiu, M. Hsu, Eric Wang (2006)
Understanding knowledge sharing in virtual communities: An integration of social capital and social cognitive theoriesDecis. Support Syst., 42
amarul Hashima, Felix Tanb (2014)
he mediating role of trust and commitment on members ’ continuous nowledge sharing intention : A commitment-trust theory perspective
R. Oliver (1980)
A Cognitive Model of the Antecedents and Consequences of Satisfaction DecisionsJournal of Marketing Research, 17
K. Wright (2006)
Researching Internet-Based Populations: Advantages and Disadvantages of Online Survey Research, Online Questionnaire Authoring Software Packages, and Web Survey ServicesJ. Comput. Mediat. Commun., 10
J. Füller, G. Jawecki, H. Mühlbacher (2007)
Innovation creation by online basketball communitiesJournal of Business Research, 60
Fred Davis (1989)
Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information TechnologyMIS Q., 13
B. Wirtz, Vincent Göttel (2016)
Technology Acceptance in Social Media: Review, Synthesis and Directions for Future Empirical ResearchJournal of Electronic Commerce Research, 17
Yiming Zheng, K. Zhao, Antonis Stylianou (2013)
The impacts of information quality and system quality on users' continuance intention in information-exchange virtual communities: An empirical investigationDecis. Support Syst., 56
Sheng Wang, R. Noe (2010)
Knowledge sharing: A review and directions for future researchHuman Resource Management Review, 20
Dan Li, G. Walejko (2008)
SPLOGS AND ABANDONED BLOGS: The perils of sampling bloggers and their blogsInformation, Communication & Society, 11
Alexander Ardichvili, Vaughn Page, T. Wentling (2003)
Motivation and barriers to participation in virtual knowledge-sharing communities of practiceJ. Knowl. Manag., 7
M. Couper (2000)
Web surveys: a review of issues and approaches.Public opinion quarterly, 64 4
A. Rashid, W. Wang, K. Hashim (2011)
Social networks and its impact on knowledge management2011 IEEE International Conference on Control System, Computing and Engineering
J. Thong, Se-Joon Hong, K. Tam (2006)
The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance
Research Policy, 32
D. Andrews, B. Nonnecke, J. Preece (2003)
Electronic Survey Methodology: A Case Study in Reaching Hard-to-Involve Internet UsersInternational Journal of Human–Computer Interaction, 16
Chin-Lung Hsu, Judy Lin (2008)
Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivationInf. Manag., 45
Yoon Cho, Esen Sagynov (2015)
Exploring Factors That Affect Usefulness, Ease Of Use, Trust, And Purchase Intention In The Online Environment, 19
D. Gefen, Elena Karahanna, D. Straub (2003)
Trust and TAM in Online Shopping: An Integrated ModelMIS Q., 27
Allan Wigfield (1994)
Expectancy-value theory of achievement motivation: A developmental perspectiveEducational Psychology Review, 6
R. Ryan, E. Deci (2000)
Intrinsic and Extrinsic Motivations: Classic Definitions and New Directions.Contemporary educational psychology, 25 1
Ritu Agarwal (2000)
Individual Acceptance of Information Technologies
Electronic Journal of Knowledge Management, 1
PurposeThis study aims to examine the determinant factors of perceived online community usefulness from a motivational point of view. The researchers have combined the use of the expectancy value model and the information system continuous-use model to predict continuous knowledge-sharing behaviour between online community members. This research provides an additional view of current literature focusing on technology-related factors.Design/methodology/approachThis research has adopted a quantitative research method, with data being collected through a Web survey technique. The members of online business communities were invited to participate in the survey. A total of 220 respondents participated in the online survey. These data were then analysed using structural equation modelling.FindingsThe research findings revealed that motivation-related factors have a moderate ability to predict members’ perception of online community usefulness. The research findings have shown that attainment and utility values are two significant motivational factors, which can positively influence perceived online community usefulness. By promoting these values, continuous knowledge-sharing intentions can be encouraged through perceived online community usefulness.Research limitations/implicationsHaving members from communities other than online business communities might deliver different results, given that they have different needs and values. Also, this study only received responses from active contributors within selected online business communities. The responses from non-active contributors were not included in this study.Practical implicationsThis study provides practical suggestions on how the administrators and designers of an online community can promote positive values within their community platform, using motivation-related mechanisms.Originality/valueThe existing literature that examines the determinants of perceived online community usefulness have mainly directed attention towards technology-related factors. This study fills the gap by examining the determinant factors of this construct from a motivation perspective.
Journal of Systems and Information Technology – Emerald Publishing
Published: May 14, 2018
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.