Factors That Influence Employees’ Intention to Use Enterprise Social Media as Knowledge Sharing Media
DOI:
https://doi.org/10.21512/commit.v13i2.5627Keywords:
Intention to Use, Enterprise Social Media, Knowledge Sharing MediaAbstract
Along with the widespread use of Enterprise Social Media (ESM) by various large companies in Indonesia, this research is conducted to discover what the factors that drive employees’ intention to use ESM as knowledge sharing media are, and what factor is the most dominant in driving employees’ intention. This research is a quantitative research which uses Innovation Diffusion Technology (IDT) and Extended Technology Acceptance Model (TAM) as the research model. Data collection in this research is conducted by the survey method. The questionnaires are distributed to 374 respondents. Based on the data collected, data processing and hypothesis testing are carried out using Partial Least Square Structural Equation Modelling (PLS-SEM). The result of this study indicates that relative advantage, compatibility, and perceived ease of use have a significant influence on perceived usefulness and perceived enjoyment. Meanwhile, perceived usefulness and perceived enjoyment have a significant influence on employees’ intention to use ESM. Furthermore, it is also found that the most dominant factor among those two variables is perceived enjoyment.
Plum Analytics
References
J. B. Arthur and C. L. Huntley, “Ramping up the organizational learning curve: Assessing the impact of deliberate learning on organizational performance under gainsharing,” Academy of Management Journal, vol. 48, no. 6, pp. 1159–1170, 2005.
S. Eltayeb and G. Kadoda, “The impact of knowledge management practices on business strategies and organizational performance,” in 2017 Sudan Conference on Computer Science and Information Technology (SCCSIT). Elnuhood, Sudan:
IEEE, Nov. 17–19, 2017, pp. 1–7.
L. A. Ho, “What affects organizational performance? the linking of learning and knowledge management,” Industrial Management & Data Systems, vol. 108, no. 9, pp. 1234–1254, 2008.
I. C. Hsu, “Knowledge sharing practices as a facilitating factor for improving organizational performance through human capital: A preliminary test,” Expert Systems with Applications, vol. 35, no. 3, pp. 1316–1326, 2008.
C. C. Law and E. W. Ngai, “An empirical study of the effects of knowledge sharing and learning behaviors on firm performance,” Expert Systems with Applications, vol. 34, no. 4, pp. 2342–2349, 2008.
Z. Wang and N. Wang, “Knowledge sharing, innovation and firm performance,” Expert Systems with Applications, vol. 39, no. 10, pp. 8899–8908, 2012.
A. Ardichvili, V. Page, and T. Wentling, “Motivation and barriers to participation in virtual knowledge-sharing communities of practice,” Journal of Knowledge Management, vol. 7, no. 1, pp. 64–77, 2003.
P. Akhavan and A. Pezeshkan, “Knowledge management critical failure factors: A multi-case study,” VINE: The Journal of Information and Knowledge Management Systems, vol. 44, no. 1, pp. 22–41, 2014.
R. McDermott and C. O’dell, “Overcoming cultural barriers to sharing knowledge,” Journal of Knowledge Management, vol. 5, no. 1, pp. 76–85, 2001.
A. Cabrera and E. F. Cabrera, “Knowledgesharing dilemmas,” Organization Studies, vol. 23, no. 5, pp. 687–710, 2002.
A. Riege, “Three-dozen knowledge-sharing barriers managers must consider,” Journal of Knowl-edge Management, vol. 9, no. 3, pp. 18–35, 2005.
E. Asano. (2017) How much time do people spend on social media? [infographic]. [Online]. Available: https://bit.ly/2MZ7keV
I. A. Zolkepli and Y. Kamarulzaman, “Social media adoption: The role of media needs and innovation characteristics,” Computers in Human Behavior, vol. 43, pp. 189–209, 2015.
J. Clement. (2019) Number of social network users worldwide from 2010 to 2021 (in billions). [Online]. Available: https://www.statista.com/statistics/278414/number-of-worldwide-social-network-users
S. A. Raza, W. Qazi, and A. Umer, “Facebook is a source of social capital building among university students: Evidence from a developing country,” Journal of Educational Computing Research, vol. 55, no. 3, pp. 295–322, 2017.
C. Steinfield, N. B. Ellison, and C. Lampe, “Social capital, self-esteem, and use of online social network sites: A longitudinal analysis,” Journal of Applied Developmental Psychology, vol. 29, no. 6, pp. 434–445, 2008.
B. Wehner, C. Ritter, and S. Leist, “Enterprise social networks: A literature review and research agenda,” Computer Networks, vol. 114, pp. 125–142, 2017.
Facebook Newsroom. (2016) Introducing workplace by Facebook. [Online]. Available: https://newsroom.fb.com/news/2016/10/introducing-workplace-by-facebook/
O. Yusuf. (2016) Facebook resmikan Workplace, jejaring sosial untuk perusahaan. [Online]. Available: https://tekno.kompas.com/read/2016/10/11/07260517/facebook.resmikan.workplace.jejaring.sosial.untuk.perusahaan
K. Chaykowski. (2017) Facebook’s ‘Workplace’ spreads to 30,000 businesses, nonprofits. [Online]. Available: https://bit.ly/36riGjM
E. Gonzalez, D. Leidner, C. Riemenschneider, and H. Koch, “The impact of internal social media usage on organizational socialization and commitment,” in Thirty Fourth International Conference on Information Systems, Milano, Italy, Dec. 15–18, 2013, pp. 1–18.
C. M. Jackson, S. Chow, and R. A. Leitch, “Toward an understanding of the behavioral intention to use an information system,” Decision Sciences, vol. 28, no. 2, pp. 357–389, 1997.
R. Rauniar, G. Rawski, J. Yang, and B. Johnson, “Technology Acceptance Model (TAM) and social media usage: An empirical study on facebook,” Journal of Enterprise Information Management, vol. 27, no. 1, pp. 6–30, 2014.
Z. Ga´al, L. Szab´o, N. Obermayer-Kov´acs, and A. Csepregi, “Exploring the role of social media in knowledge sharing,” Electronic Journal of Knowledge Management, vol. 13, no. 3, pp. 185–197, 2015.
J. S. Brown and P. Duguid, The social life of information: Updated, with a new preface. Boston, Massachusetts: Harvard Business Review Press, 2017.
I. Nonaka, “A dynamic theory of organizational knowledge creation,” Organization Science, vol. 5, no. 1, pp. 14–37, 1994.
L. Razmerita, K. Kirchner, and T. Nabeth, “Social media in organizations: Leveraging personal and collective knowledge processes,” Journal of Organizational Computing and Electronic Commerce, vol. 24, no. 1, pp. 74–93, 2014.
A. Ismail Al-Alawi, N. Yousif Al-Marzooqi, and Y. Fraidoon Mohammed, “Organizational culture and knowledge sharing: Critical success factors,” Journal of Knowledge Management, vol. 11, no. 2, pp. 22–42, 2007.
M. S. Weber and W. Shi, Enterprise social media. John Wiley & Sons, Inc., 2017, pp. 1–9.
R. Grover and T. M. Froese, “Knowledge management in construction using a sociobim platform: A case study of ayo smart home project,” Procedia Engineering, vol. 145, pp. 1283–1290, 2016.
K. Dalkir, Knowledge management in theory and practice. Routledge, 2013.
C. Archer-Brown and J. Kietzmann, “Strategic knowledge management and enterprise social media,” Journal of Knowledge Management, vol. 22, no. 6, pp. 1288–1309, 2018.
W. C. Barley, J. W. Treem, and T. Kuhn, “Valuing multiple trajectories of knowledge: A critical review and agenda for knowledge management research,” Academy of Management Annals, vol. 12, no. 1, pp. 278–317, 2018.
B. Bellefroid, “The new way of knowledge sharing, a thesis research about the effects of NWOW on knowledge sharing.” Master’s thesis, Utrecht University, 2013.
P. M. Leonardi, “The social media revolution: Sharing and learning in the age of leaky knowledge,” Information and Organization, vol. 27, no. 1, pp. 47–59, 2017.
I. Becerra-Fernandez and R. Sabherwal, Knowledge management: Systems and processes. New York: Routledge, 2015.
C. M. Chiu, M. H. Hsu, and E. T. Wang, “Under-standing knowledge sharing in virtual communities: An integration of social capital and social cognitive theories,” Decision Support Systems, vol. 42, no. 3, pp. 1872–1888, 2006.
G. Von Krogh, “How does social software change knowledge management? toward a strategic research agenda,” The Journal of Strategic Information Systems, vol. 21, no. 2, pp. 154–164, 2012.
N. B. Ellison, J. L. Gibbs, and M. S. Weber, “The use of enterprise social network sites for knowledge sharing in distributed organizations: The role of organizational affordances,” American Behavioral Scientist, vol. 59, no. 1, pp. 103–123, 2015.
T. Mettler and R. Winter, “Are business users social? A design experiment exploring information sharing in enterprise social systems,” Journal of Information Technology, vol. 31, no. 2, pp. 101–114, 2016.
M. Moqbel and F. F.-H. Nah, “Enterprise social media use and impact on performance: The role of workplace integration and positive emotions,” AIS Transactions on Human-Computer Interaction, vol. 9, no. 4, pp. 261–280, 2017.
M. G. Aboelmaged, “Knowledge sharing through Enterprise Social Network (ESN) systems: Motivational drivers and their impact on employees’ productivity,” Journal of Knowledge Management, vol. 22, no. 2, pp. 362–383, 2018.
P. M. Leonardi, M. Huysman, and C. Steinfield, “Enterprise social media: Definition, history, and prospects for the study of social technologies in organizations,” Journal of Computer-Mediated Communication, vol. 19, no. 1, pp. 1–19, 2013.
T. J. T. E and C. Chihui, “Perceived innovativeness, perceived convenience and TAM: Effects on mobile knowledge management,” in 2009 Third International Conference on Multimedia and Ubiquitous Engineering. Qingdao, China: IEEE, June 4–6, 2009, pp. 413–420.
G. C. Kane, “Enterprise social media: Current capabilities and future possibilities.” MIS Quarterly Executive, vol. 14, no. 1, pp. 1–16, 2015.
P. M. Leonardi, “Social media, knowledge sharing, and innovation: Toward a theory of communication visibility,” Information Systems Research, vol. 25, no. 4, pp. 796–816, 2014.
M. Kugler, S. Smolnik, and P. Raeth, “Why don’t you use it? Assessing the determinants of enterprise social software usage: A conceptual model integrating innovation diffusion and social capital theories,” in Thirty Third International Conference on Information Systems, Orlando, Florida, USA, Dec. 16–19, 2012, pp. 1–14.
T. Ramayah and M.-C. Lo, “Impact of shared beliefs on “perceived usefulness” and “ease of use” in the implementation of an enterprise resource planning system,” Management Research News, vol. 30, no. 6, pp. 420–431, 2007.
S. L. Shivers-Blackwell and A. C. Charles, “Ready, set, go: Examining student readiness to use ERP technology,” Journal of Management Development, vol. 25, no. 8, pp. 795–805, 2006.
Y. H. Lee, Y. C. Hsieh, and C. N. Hsu, “Adding innovation diffusion theory to the technology acceptance model: Supporting employees’ intentions to use e-learning systems,” Journal of Educational Technology & Society, vol. 14, no. 4, pp. 124–137, 2011.
J. Oh and S. J. Yoon, “Validation of Haptic Enabling Technology Acceptance Model (HETAM): Integration of IDT and TAM,” Telematics and Informatics, vol. 31, no. 4, pp. 585–596, 2014.
S.-B. Yoon and E. Cho, “Convergence Adoption Model (CAM) in the context of a smart car service,” Computers in Human Behavior, vol. 60, pp. 500–507, 2016.
S. A. M. Shah, I. Khan, and S. Amjad, “The role of social media in developing an effective knowledge management process in professional service firms,” Mediterranean Journal of Social Sciences, vol. 4, no. 14, pp. 775–782, 2013.
F. D. Davis, “Perceived usefulness, perceived ease of use, and user acceptance of information technology,” MIS Quarterly, pp. 319–340, 1989.
S. F. Wamba, M. Bhattacharya, L. Trinchera, and E. W. Ngai, “Role of intrinsic and extrinsic factors in user social media acceptance within workspace: Assessing unobserved heterogeneity,” International Journal of Information Management, vol. 37, no. 2, pp. 1–13, 2017.
A. Majchrzak, S. Faraj, G. C. Kane, and B. Azad, “The contradictory influence of social media affordances on online communal knowledge sharing,” Journal of Computer-Mediated Communication, vol. 19, no. 1, pp. 38–55, 2013.
J. F. Hair Jr, M. Sarstedt, L. Hopkins, and V. G. Kuppelwieser, “Partial Least Squares Structural Equation Modeling (PLS-SEM) an emerging tool in business research,” European Business Review, vol. 26, no. 2, pp. 106–121, 2014.
M. Sarstedt, C. M. Ringle, D. Smith, R. Reams, and J. F. Hair Jr, “Partial Least Squares Structural Equation Modeling (PLS-SEM): A useful tool for family business researchers,” Journal of Family Business Strategy, vol. 5, no. 1, pp. 105–115, 2014.
G. C. Moore and I. Benbasat, “Development of an instrument to measure the perceptions of adopting an information technology innovation,” Information Systems Research, vol. 2, no. 3, pp. 192–222, 1991.
S. Amaro and P. Duarte, “An integrative model of consumers’ intentions to purchase travel online,” Tourism management, vol. 46, pp. 64–79, 2015.
S. C. Chang and F. C. Tung, “An empirical investigation of students’ behavioural intentions to use the online learning course websites,” British Journal of Educational Technology, vol. 39, no. 1, pp. 71–83, 2008.
X. Wang, K. F. Yuen, Y. D. Wong, and C. C. Teo, “An innovation diffusion perspective of econsumers’ initial adoption of self-collection service via automated parcel station,” The International Journal of Logistics Management, vol. 29, no. 1, pp. 237–260, 2018.
W. W. Chin and A. Gopal, “Adoption intention in GSS: Relative importance of beliefs,” ACM SIGMIS Database: The DATABASE for Advances in Information Systems, vol. 26, no. 2-3, pp. 42–64, 1995.
I. F. Liu, M. C. Chen, Y. S. Sun, D. Wible, and C. H. Kuo, “Extending the TAM model to explore the factors that affect intention to use an online learning community,” Computers & Education, vol. 54, no. 2, pp. 600–610, 2010.
C. L. Hsu and J. C. C. Lin, “Acceptance of blog usage: The roles of technology acceptance, social influence and knowledge sharing motivation,” Information & Management, vol. 45, no. 1, pp. 65–74, 2008.
T. Teo and J. Noyes, “An assessment of the influence of perceived enjoyment and attitude on the intention to use technology among preservice teachers: A Structural Equation Modeling approach,” Computers & Education, vol. 57, no. 2, pp. 1645–1653, 2011.
R. Buettner, “Analyzing the problem of employee internal social network site avoidance: Are users resistant due to their privacy concerns?” in 2015 48th Hawaii International Conference on System Sciences. Kauai, HI, USA: IEEE, Jan. 5–8, 2015, pp. 1819–1828.
Downloads
Published
Issue
Section
License
Authors who publish with this journal agree to the following terms:
a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License - Share Alike that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
USER RIGHTS
All articles published Open Access will be immediately and permanently free for everyone to read and download. We are continuously working with our author communities to select the best choice of license options, currently being defined for this journal as follows: Creative Commons Attribution-Share Alike (CC BY-SA)
