Roles of Self-Efficacy in Using Social Networking to Improve Productivity

Khan, Sarah; Mehmood, Nasir; Alhamad, Ibrahim A; Abbas, Mazhar

:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

http://TuEngr.com

ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8

FEATURE PEER-REVIEWED ARTICLE

Vol.13(1) (2022)

Roles of Self-Efficacy in Using Social Networking to Improve Productivity

Sarah Khan, Nasir Mehmood (Faculty of Management Sciences, University of Wah, PAKISTAN),
Ibrahim A Alhamad, Mazhar Abbas (Department of Management and Information Systems, College of Business Administration, University of Ha'il, SAUDI ARABIA).

Disciplinary: Management Sciences, IT Application.
➤ FullText

doi: 10.14456/ITJEMAST.2022.2

Keywords: Social networking; Employee productivity; Knowledge sharing self-efficacy; Self-efficacy factor.

Abstract
The challenge most organizations are facing is how to make effective use of available social networking technologies for enhancing employees' productivity. This has recently gained considerable attention from organizations around the world that are experiencing a major shift in their corporate environment and specific working requirements. The purpose of this study is to examine the relationship between social networking technologies on employees' productivity and also to determine how knowledge sharing self-efficacy of employees affects this relationship. The sample data were collected from academic and financial institution staff working in different universities located in Islamabad, Rawalpindi, and Wah Cantt cities of Pakistan. Structural Equation Modelling technique using the SmartPLS software tool was applied to the data for statistical analysis. The results of the study revealed that the use of social networking technologies for knowledge sharing has a positive significant impact on employees' productivity. Furthermore, the self-efficacy factor proved to be a significant positive moderator in strengthening the direct relationship between social networking and employees' productivity. The findings provided useful insight for policymakers in service sector organizations to plan for the effective utilization of social networking technologies among employees for achieving desired organizational outcomes.
Paper ID: 13A1B

Cite this article:

Khan, S., Mehmood, N., Alhamad, I. A., Abbas, M. (2022). Evolution Of Corporate Governance In A Transparent Market Environment. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 13(1), 13A1B, 1-11. http://TUENGR.COM/V13/13A1B.pdf DOI: 10.14456/ITJEMAST.2022.2

References

Ali-Hassan, H., et al. (2011). Organizational social computing and employee job performance: the knowledge access route. 44th Hawaii International Conference on System Sciences, HICSS.
Almaamari, Q. A. & Alaswad, H. I. 2021. Factors influencing employees' productivity. Academy of Entrepreneurship Journal, 27, 1-7.
Bandura, A. (1982). The assessment and predictive generality of self-percepts of efficacy. Journal of behavior therapy and experimental psychiatry 13(3): 195-199.
Bandura, A. (1986). Social foundations of thought and action. Englewood Cliffs, NJ 1986: 23-28.
Constant, D., et al. (1994). What's mine is ours, or is it? A study of attitudes about information sharing. Information systems research, 5(4): 400-421.
Denyer, D., Parry, E., & Flowers, P. (2011). "Social","Open" and "Participative"? Exploring personal experiences and organisational effects of enterprise2. 0 use. Long Range Planning, 44(5-6), 375-396.
Dodd, L. (2011). Study reveals huge ROI when using yammer. Strategic Communication Management 15(6), 7.
Ellison, N. B., et al. (2015). The use of enterprise social network sites for knowledge sharing in distributed organizations: The role of organizational affordances. American Behavioral Scientist, 59(1): 103-123.
Grant, S. B. (2016). Classifying emerging knowledge sharing practices and some insights into antecedents to social networking: a case in insurance. Journal of Knowledge Management.
Hair Jr, J. F., et al. (2014). Partial least squares structural equation modeling (PLS-SEM). European business review.
Igbaria, M. and J. Iivari (1995). The effects of self-efficacy on computer usage. Omega 23(6): 587-605.
Kanawattanachai, P. and Yoo, Y. (2007). The impact of knowledge coordination on virtual team performance over time. MIS Quarterly, 783-808.
Kim, D. (2011). The effects of knowledge sharing on program performance: Influences on CPS program performance. Virginia Tech.
Leonardi, P. M. (2014). Social media, knowledge sharing, and innovation: Toward a theory of communication visibility. Information systems research, 25(4), 796-816.
Leonardi, P. M. (2015). Ambient awareness and knowledge acquisition: using social media to learn 'who knows what' and 'who knows whom'. MIS Quarterly 39(4): 747-762.
Leonova, I. S., Pesennikova-Sechenov, E. V., Legky, N. M., Prasolov, V. I., Krutskikh, I. A. & Zayed, N. M. (2021). Strategic Analysis of the Motivation on Employees'productivity: A Compensation Benefits, Training and Development Perspective. Academy of Strategic Management Journal, 20, 1-11.
Luthans, F. (2002). Positive organizational behavior: Developing and managing psychological strengths. Academy of Management Perspectives 16(1): 57-72.
Morgan, S. J., et al. (2017). Case study observational research: A framework for conducting case study research where observation data are the focus. Qualitative health research 27(7): 1060-1068.
Rahman, N. (2020). Understanding the Impact of Knowledge Sharing through Enterprise Social Networking (ESN) on Service Innovation. Proc. the 53rd Hawaii International Conference on System Sciences.
Singh, S. K., et al. (2016). Satisfaction of learning, performance, and relatedness needs at work and employees' organizational identification. International Journal of Productivity and Performance Management.
Svetlik, I., et al. (2007). Knowledge sharing and firm innovation capability: an empirical study. International Journal of manpower.
Tagar, H. K., Shaikh, S. M., Tagar, A. K. & Bijarni, G. A. (2021). Economic Growth of Pakistan in 21 st Century and the Use of Blue Economy Resources for Sustainability. European Journal of Social Sciences, 62, 38-49.
Thom-Santelli, J., et al. (2011). Organizational acculturation and social networking. Proceedings of the ACM 2011 conference on Computer supported cooperative work.
Wasko, M. M. and S. Faraj (2005). Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Quarterly, 35-57.
Wu, S., et al. (2006). Exploring knowledge sharing in virtual teams: A social exchange theory perspective. Proc. 39th Annual Hawaii International Conference on System Sciences (HICSS'06), IEEE.

Other issues:
Vol.13(2)(2022)
Vol.12(13)(2021)
Vol.12(12)(2021)
Archives

Call-for-Papers
Call-for-Scientific Papers
Call-for-Research Papers: ITJEMAST invites you to submit high quality papers for full peer-review and possible publication in areas pertaining engineering, science, management and technology, especially interdisciplinary/cross-disciplinary/multidisciplinary subjects.

To publish your work in the next available issue, your manuscripts together with copyright transfer document signed by all authors can be submitted via email to Editor @ TuEngr.com (no space between). (please see all detail from Instructions for Authors)

Publication and peer-reviewed process:
After the peer-review process, articles will be on-line published in the available next issue. However, the International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies cannot guarantee the exact publication time as the process may take longer time, subject to peer-review approval and adjustment of the submitted articles.