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Understanding Factors Influencing Employees’ Consumptive and Contributive Use of Enterprise Social Networks

Author

Listed:
  • Pei Yee Chin

    (Universiti Malaysia Sabah
    University of South Australia)

  • Nina Evans

    (University of South Australia)

  • Charles Zhechao Liu

    (University of Texas at San Antonio)

  • Kim-Kwang Raymond Choo

    (University of South Australia
    University of Texas at San Antonio)

Abstract

There has been an exponential growth use of enterprise social networks for improved communication, connection, collaboration and enhanced knowledge sharing within organizations. However, the intended benefits of this social network deployment have not been fully realized due to the relative low usage among employees. This study provides an insight into the underlying factors deemed likely to influence employees’ enterprise social networks consumptive and contributive use by modifying and extending the Unified Theory of Acceptance and Use of Technology (UTAUT). An online survey was conducted and data were collected from 158 employees whose organizations are currently deploying a workplace social platform. The data were validated and analyzed using partial least square (PLS-SEM) method and Ordered Logistic Regression (OLR). Significant differences were found regarding the factors that influence consumptive and contributive use. The most influential factors for consumptive use are performance expectancy and content value, followed by facilitating conditions and effort expectancy. On the other hand, the contributive use is strongly influenced by social influence, content value and relationship expectancy. Moreover, a more balanced use pattern as measured by a smaller gap in consumptive and contributive use is shown to be positively associated with increased overall enterprise social network use. This study provides implications for managers to develop appropriate interventions to address idiosyncratic enterprise social network use patterns, minimize resistance and maximize effective utilization of the social platform among employees. This paper fulfills the need to identify important factors to be actively managed and manipulated to fully realize the benefits from the investment of enterprise social network.

Suggested Citation

  • Pei Yee Chin & Nina Evans & Charles Zhechao Liu & Kim-Kwang Raymond Choo, 0. "Understanding Factors Influencing Employees’ Consumptive and Contributive Use of Enterprise Social Networks," Information Systems Frontiers, Springer, vol. 0, pages 1-20.
    • Handle: RePEc:spr:infosf:v::y::i::d:10.1007_s10796-019-09939-5
    DOI: 10.1007/s10796-019-09939-5
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    References listed on IDEAS

    as
    1. Haijing Hao & Rema Padman & Baohong Sun & Rahul Telang, 2018. "Quantifying the Impact of Social Influence on the Information Technology Implementation Process by Physicians: A Hierarchical Bayesian Learning Approach," Information Systems Research, INFORMS, vol. 29(1), pages 25-41, March.
    2. Lynn Wu, 2013. "Social Network Effects on Productivity and Job Security: Evidence from the Adoption of a Social Networking Tool," Information Systems Research, INFORMS, vol. 24(1), pages 30-51, March.
    3. Qilin Cao & Yong Lu & Dayong Dong & Zongming Tang & Yongqiang Li, 2013. "The roles of bridging and bonding in social media communities," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 64(8), pages 1671-1681, August.
    4. Sinan Aral & Chrysanthos Dellarocas & David Godes, 2013. "Introduction to the Special Issue ---Social Media and Business Transformation: A Framework for Research," Information Systems Research, INFORMS, vol. 24(1), pages 3-13, March.
    5. Lee Cronbach, 1951. "Coefficient alpha and the internal structure of tests," Psychometrika, Springer;The Psychometric Society, vol. 16(3), pages 297-334, September.
    6. Likoebe M. Maruping & Hillol Bala & Viswanath Venkatesh & Susan A. Brown, 2017. "Going beyond intention: Integrating behavioral expectation into the unified theory of acceptance and use of technology," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 68(3), pages 623-637, March.
    7. Caroline Haythornthwaite & Barry Wellman, 1998. "Work, friendship, and media use for information exchange in a networked organization," Journal of the American Society for Information Science, Association for Information Science & Technology, vol. 49(12), pages 1101-1114.
    8. William H. DeLone & Ephraim R. McLean, 1992. "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, INFORMS, vol. 3(1), pages 60-95, March.
    9. Jun Sun, 2012. "Why different people prefer different systems for different tasks: An activity perspective on technology adoption in a dynamic user environment," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(1), pages 48-63, January.
    10. Jun Sun, 2012. "Why different people prefer different systems for different tasks: An activity perspective on technology adoption in a dynamic user environment," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(1), pages 48-63, January.
    11. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    12. Mohammad Hossein Jarrahi & Steve Sawyer, 2015. "Theorizing on the take-up of social technologies, organizational policies and norms, and consultants' knowledge-sharing practices," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(1), pages 162-179, January.
    13. Bangaly Kaba & Bakary Touré, 2014. "Understanding information and communication technology behavioral intention to use: Applying the UTAUT model to social networking site adoption by young people in a least developed country," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 65(8), pages 1662-1674, August.
    14. Florian Probst & Laura Grosswiele & Regina Pfleger, 2013. "Who will lead and who will follow: Identifying Influential Users in Online Social Networks," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(3), pages 179-193, June.
    15. David Elsweiler & Morgan Harvey, 2015. "Engaging and maintaining a sense of being informed: Understanding the tasks motivating twitter search," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 66(2), pages 264-281, February.
    16. Haijing Hao & Rema Padman & Baohong Sun & Rahul Telang, 2019. "Modeling social learning on consumers’ long-term usage of a mobile technology: a Bayesian estimation of a Bayesian learning model," Electronic Commerce Research, Springer, vol. 19(1), pages 1-21, March.
    17. Qilin Cao & Yong Lu & Dayong Dong & Zongming Tang & Yongqiang Li, 2013. "The roles of bridging and bonding in social media communities," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 64(8), pages 1671-1681, August.
    18. Bin Zhang & Paul A. Pavlou & Ramayya Krishnan, 2018. "On Direct vs. Indirect Peer Influence in Large Social Networks," Information Systems Research, INFORMS, vol. 29(2), pages 292-314, June.
    19. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    20. Silvana Trimi & Holta Galanxhi, 2014. "The impact of Enterprise 2.0 in organizations," Service Business, Springer;Pan-Pacific Business Association, vol. 8(3), pages 405-424, September.
    21. Brian S. Butler, 2001. "Membership Size, Communication Activity, and Sustainability: A Resource-Based Model of Online Social Structures," Information Systems Research, INFORMS, vol. 12(4), pages 346-362, December.
    22. Mäntymäki, Matti & Riemer, Kai, 2016. "Enterprise social networking: A knowledge management perspective," International Journal of Information Management, Elsevier, vol. 36(6), pages 1042-1052.
    23. Paul M. Leonardi, 2014. "Social Media, Knowledge Sharing, and Innovation: Toward a Theory of Communication Visibility," Information Systems Research, INFORMS, vol. 25(4), pages 796-816, December.
    24. Daniel Z. Levin & Rob Cross, 2004. "The Strength of Weak Ties You Can Trust: The Mediating Role of Trust in Effective Knowledge Transfer," Management Science, INFORMS, vol. 50(11), pages 1477-1490, November.
    25. Kexin Zhao & Bin Zhang & Xue Bai, 2018. "Estimating Contextual Motivating Factors in Virtual Interorganizational Communities of Practice: Peer Effects and Organizational Influences," Information Systems Research, INFORMS, vol. 29(4), pages 910-927, December.
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