Volume 7, Issue 1 (6-2020)                   Human Information Interaction 2020, 7(1): 27-44 | Back to browse issues page

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Mazaheri E, Mehraeen M. Presenting a comprehensive framework of effective factors, behavior and consequences of using enterprise social networks. Human Information Interaction 2020; 7 (1)
URL: http://hii.khu.ac.ir/article-1-2778-en.html
Abstract:   (3073 Views)
Aim: The purpose of this paper is to determine the factors affecting the use of enterprise social networks, the types of usage behavior and the consequences of using these networks.
Methodology: This is a descriptive study. The qualitative inquiries of previous researches in the social networking enterprise had been investigated by means of  meta-synthesis. A total of 470 found source of meta-synthesis process, 30 papers were consistent with accepted criteria.
Results: As a result of the combination of the findings, 52 codes and 10 main concepts (individual, organizational, social, technical factors and others related to the task, active use and passive use, consequences for the individual level, group level and organizational level) were identified. In conclusion, three categories were identified:  factors affecting use, usage behavior and consequences of use that the concepts of individual, organizational, social, technical, and others related to the task as factors affecting use, as well as the concepts of active use and passive use in the category of behavioral usage were classified. In addition, individual, group and organizational level were also classified as concepts related to the significances of use category.  Among the three categories, the category of factors influencing use has a greater share of the subject, and consequences categories and its concepts had less attention than the other two categories in preceding researches.
Conclusion: Organizations could employ  the results of this study to encourage more employees to use enterprise social networks and thus realize the significances.
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Type of Study: Research | Subject: Special

References
1. Ali-Hassan, H., Nevo, D., & Wade, M. (2015). Linking dimensions of social media use to job performance: The role of social capital. The Journal of Strategic Information Systems, 24(2), 65-89. [DOI:10.1016/j.jsis.2015.03.001]
2. Amabile, T. M., Conti, R., Coon, H., Lazenby, J., & Herron, M. (1996). Assessing the work environment for creativity. Academy of Management journal, 39(5), 1154-1184. [DOI:10.2307/256995]
3. Antonius, N., Xu, J., & Gao, X. (2015). Factors influencing the adoption of enterprise social software in Australia. Knowledge-Based Systems, 73, 32-43. [DOI:10.1016/j.knosys.2014.09.003]
4. Boeije, R., Kolfschoten, G. L., de Vries, P., & Veen, W. (2009). Knowledge workers and the realm of social tagging. Paper presented at the System Sciences, 2009. HICSS'09. 42nd Hawaii International Conference on.
5. Bolton, R. N., Parasuraman, A., Hoefnagels, A., Migchels, N., Kabadayi, S., Gruber, T., . . . Solnet, D. (2013). Understanding Generation Y and their use of social media: a review and research agenda. Journal of service management, 24(3), 245-267. [DOI:10.1108/09564231311326987]
6. Brecht, F., Eckhardt, A., Berger, C., & Guenther, O. (2012). Corporate career presences on social network sites: an analysis of hedonic and utilitarian value. Paper presented at the Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. [DOI:10.1145/2207676.2208408]
7. Brown, S. A., Dennis, A. R., & Venkatesh, V. (2010). Predicting collaboration technology use: Integrating technology adoption and collaboration research. Journal of management information systems, 27(2), 9-54. [DOI:10.2753/MIS0742-1222270201]
8. Busch, T. (1996). Gender, group composition, cooperation, and self-efficacy in computer studies. Journal of Educational Computing Research, 15(2), 125-135. [DOI:10.2190/KQJL-RTW1-VVUY-BHLG]
9. Chang, Y.-W., Hsu, P.-Y., Shiau, W.-L., & Tsai, C.-C. (2015). Knowledge sharing intention in the United States and China: a cross-cultural study. European Journal of Information Systems, 24(3), 262-277. [DOI:10.1057/ejis.2014.28]
10. Chen, C.-J., & Hung, S.-W. (2010). To give or to receive? Factors influencing members' knowledge sharing and community promotion in professional virtual communities. Information & management, 47(4), 226-236. [DOI:10.1016/j.im.2010.03.001]
11. Chin, C. P.-Y., Choo, K.-K. R., & Evans, N. (2015). Enterprise social networks: a successful implementation within a telecommunication company.
12. Chin, C. P.-Y., Evans, N., & Choo, K.-K. R. (2015). Exploring factors influencing the use of enterprise social networks in multinational professional service firms. Journal of Organizational Computing and Electronic Commerce, 25(3), 289-315. [DOI:10.1080/10919392.2015.1058118]
13. Chin, C. P.-Y., Evans, N., Choo, K.-K. R., & Tan, F. B. (2015). What Influences Employees to Use Enterprise Social Networks? A Socio-Technical Perspective. Paper presented at the PACIS.
14. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340. [DOI:10.2307/249008]
15. DeLone, W. H., & McLean, E. R. (1992). Information systems success: The quest for the dependent variable. Information systems research, 3(1), 60-95. [DOI:10.1287/isre.3.1.60]
16. Drahoová, M., & Balco, P. (2016). The Benefits and Risks of Enterprise Social Networks. Paper presented at the Intelligent Networking and Collaborative Systems (INCoS), 2016 International Conference on. [DOI:10.1109/INCoS.2016.76]
17. Engler, T. H., & Alpar, P. (2017). Does one model fit all? Exploring factors influencing the use of blogs, social networks, and wikis in the enterprise. Journal of Organizational Computing and Electronic Commerce, 27(1), 25-47. [DOI:10.1080/10919392.2016.1264768]
18. Goodhue, D. L., & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS quarterly, 213-236. [DOI:10.2307/249689]
19. Jackson, A., Yates, J., & Orlikowski, W. (2007). Corporate Blogging: Building community through persistent digital talk. Paper presented at the System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference on. [DOI:10.1109/HICSS.2007.155]
20. Kane, G. C. (2015). Enterprise Social Media: Current Capabilities and Future Possibilities. MIS Quarterly Executive, 14(1).
21. Kanter, R. M. (2000). When a thousand flowers bloom: Structural, collective, and social conditions for innovation in organization. [DOI:10.1093/oso/9780198294627.003.0010]
22. Kaplan, A. M., & Haenlein, M. (2010). Users of the world, unite! The challenges and opportunities of Social Media. Business horizons, 53(1), 59-68. [DOI:10.1016/j.bushor.2009.09.003]
23. Kuegler, M., Smolnik, S., & Kane, G. (2015). What's in IT for employees? Understanding the relationship between use and performance in enterprise social software. The Journal of Strategic Information Systems, 24(2), 90-112. [DOI:10.1016/j.jsis.2015.04.001]
24. Kügler, M., Lübbert, C., & Smolnik, S. (2015). Organizational Climate's Role in Enterprise Social Software Usage: An Empirical Assessment. Paper presented at the Wirtschaftsinformatik.
25. Kügler, M., & Smolnik, S. (2013). Just for the fun of it? Towards a model for assessing the individual benefits of employees' enterprise social software usage. Paper presented at the System Sciences (HICSS), 2013 46th Hawaii International Conference on. [DOI:10.1109/HICSS.2013.372]
26. Kügler, M., & Smolnik, S. (2014). Uncovering the phenomenon of employees enterprise social software use in the post-acceptance stage-proposing a use typology.
27. Kügler, M., Smolnik, S., & Raeth, P. (2012). Why don't you use it? Assessing the determinants of enterprise social software usage: a conceptual model integrating innovation diffusion and social capital theories.
28. Kügler, M., Smolnik, S., & Raeth, P. (2013). Determining the factors influencing enterprise social software usage: Development of a measurement instrument for empirical assessment. Paper presented at the System Sciences (HICSS), 2013 46th Hawaii International Conference on. [DOI:10.1109/HICSS.2013.173]
29. Kulkarni, U. R., Ravindran, S., & Freeze, R. (2006). A knowledge management success model: Theoretical development and empirical validation. Journal of management information systems, 23(3), 309-347. [DOI:10.2753/MIS0742-1222230311]
30. Kwahk, K.-Y., & Park, D.-H. (2016). The effects of network sharing on knowledge-sharing activities and job performance in enterprise social media environments. Computers in Human Behavior, 55, 826-839. [DOI:10.1016/j.chb.2015.09.044]
31. Leftheriotis, I., & Giannakos, M. N. (2014). Using social media for work: Losing your time or improving your work? Computers in Human Behavior, 31, 134-142. [DOI:10.1016/j.chb.2013.10.016]
32. Leonardi, P. M., Huysman, M., & Steinfield, C. (2013). Enterprise social media: Definition, history, and prospects for the study of social technologies in organizations. Journal of Computer‐Mediated Communication, 19(1), 1-19. [DOI:10.1111/jcc4.12029]
33. Lin, H.-F. (2010). An investigation into the effects of IS quality and top management support on ERP system usage. Total Quality Management, 21(3), 335-349. [DOI:10.1080/14783360903561761]
34. McAfee, A. P. (2006). Enterprise 2.0: The dawn of emergent collaboration. MIT Sloan management review, 47(3), 21. [DOI:10.1109/EMR.2006.261380]
35. Martensen, M., Ryschka, S., & Bick, M. (2016). Studying social software adoption by management consultants: use and application categories for knowledge management Innovations in Knowledge Management (pp. 101-126): Springer. [DOI:10.1007/978-3-662-47827-1_5]
36. Mukkamala, A. M., & Razmerita, L. (2014). Which factors influence the adoption of social software? An exploratory study of indian information technology consultancy firms. Journal of Global Information Technology Management, 17(3), 188-212. [DOI:10.1080/1097198X.2014.951296]
37. Perry-Smith, J. E. (2006). Social yet creative: The role of social relationships in facilitating individual creativity. Academy of Management journal, 49(1), 85-101. [DOI:10.5465/amj.2006.20785503]
38. Raeth, P., & Smolnik, S. (2010). Antecedents and consequences of corporate weblog usage in the intranet: A process perspective. Paper presented at the System Sciences (HICSS), 2010 43rd Hawaii International Conference on. [DOI:10.1109/HICSS.2010.63]
39. Rauniar, R., Rawski, G., Yang, J., & Johnson, B. (2014). Technology acceptance model (TAM) and social media usage: an empirical study on Facebook. Journal of Enterprise Information Management, 27(1), 6-30. [DOI:10.1108/JEIM-04-2012-0011]
40. Rennecker, J., Dennis, A. R., & Hansen, S. (2006). Reconstructing the stage: The use of instant messaging to restructure meeting boundaries. Paper presented at the System Sciences, 2006. HICSS'06. Proceedings of the 39th Annual Hawaii International Conference on. [DOI:10.1109/HICSS.2006.411]
41. Rode, H. (2016). To share or not to share: the effects of extrinsic and intrinsic motivations on knowledge-sharing in enterprise social media platforms. Journal of Information Technology, 31(2), 152-165. [DOI:10.1057/jit.2016.8]
42. Saldanha, T. J., & Krishnan, M. S. (2012). Organizational adoption of web 2.0 technologies: An empirical analysis. Journal of Organizational Computing and Electronic Commerce, 22(4), 301-333. [DOI:10.1080/10919392.2012.723585]
43. Sandelowski, M., & Barroso, J. (2006). Handbook for synthesizing qualitative research: Springer Publishing Company.
44. Schlagwein, D., & Prasarnphanich, P. (2011). Cultural determinants of organizational social media adoption. Paper presented at the ECIS. [DOI:10.1109/DASC.2011.154]
45. Scott, S. G., & Bruce, R. A. (1994). Determinants of innovative behavior: A path model of individual innovation in the workplace. Academy of Management journal, 37(3), 580-607. [DOI:10.2307/256701]
46. Siau, K., & Long, Y. (2005). Synthesizing e-government stage models-a meta-synthesis based on meta-ethnography approach. Industrial Management & Data Systems, 105(4), 443-458. [DOI:10.1108/02635570510592352]
47. Steinhuser, M., Smolnik, S., & Hoppe, U. (2011). Towards a measurement model of corporate social software success-evidences from an exploratory multiple case study. Paper presented at the System Sciences (HICSS), 2011 44th Hawaii International Conference on. [DOI:10.1109/HICSS.2011.447]
48. Straub, D., Limayem, M., & Karahanna-Evaristo, E. (1995). Measuring system usage: Implications for IS theory testing. Management science, 41(8), 1328-1342. [DOI:10.1287/mnsc.41.8.1328]
49. To, P.-L., Liao, C., Chiang, J. C., Shih, M.-L., & Chang, C.-Y. (2008). An empirical investigation of the factors affecting the adoption of Instant Messaging in organizations. Computer Standards & Interfaces, 30(3), 148-156. [DOI:10.1016/j.csi.2007.08.019]
50. Trice, A. W., & Treacy, M. E. (1988). Utilization as a dependent variable in MIS research. ACM SIGMIS Database: The Database for advances in information systems, 19(3-4), 33-41. [DOI:10.1145/65766.65771]
51. Turban, E., Bolloju, N., & Liang, T.-P. (2011). Enterprise social networking: Opportunities, adoption, and risk mitigation. Journal of Organizational Computing and Electronic Commerce, 21(3), 202-220. [DOI:10.1080/10919392.2011.590109]
52. Ulmer, G., & Pallud, J. (2014). Understanding usages and affordances of enterprise social networks: a sociomaterial perspective.
53. Venkatesh, V., Brown, S. A., Maruping, L. M., & Bala, H. (2008). Predicting different conceptualizations of system use: the competing roles of behavioral intention, facilitating conditions, and behavioral expectation. MIS quarterly, 483-502. [DOI:10.2307/25148853]
54. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478. [DOI:10.2307/30036540]
55. Wang, T., Jung, C.-H., Kang, M.-H., & Chung, Y.-S. (2014). Exploring determinants of adoption intentions towards Enterprise 2.0 applications: an empirical study. Behaviour & Information Technology, 33(10), 1048-1064. [DOI:10.1080/0144929X.2013.781221]
56. Wattal, S., Racherla, P., & Mandviwalla, M. (2010). Network externalities and technology use: a quantitative analysis of intraorganizational blogs. Journal of management information systems, 27(1), 145-174. [DOI:10.2753/MIS0742-1222270107]
57. Zaglia, M. E., Waiguny, M. K., Abfalter, D., & Müller, J. (2015). The influence of online social networks on performance of small and medium enterprises: An empirical investigation of the online business to business network XING. International Journal of Entrepreneurial Venturing, 7(1), 1-23. [DOI:10.1504/IJEV.2015.067870]

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