Journal Screenshot

International Journal of Academic Research in Economics and Management Sciences

Open Access Journal

ISSN: 2226-3624

Technology Adoption and Employee’s Job Performance: An Empirical Investigation

Shathees Baskaran, Ho Sze Lay, Beh Sze Ming, Nomahaza Mahadi

http://dx.doi.org/10.6007/IJAREMS/v9-i1/7443

Open access

Technology innovation has an important influence on employee’s job performance where it helps to reduce human error, increase productivity, and increase the speed of communication. Many organizations are facing difficulties in choosing suitable technology adoption strategies with the hope to improve efficiency and enhance employee performance to be competitive in the market. Hence, the purpose of this research is to investigate the relationship between technology adoption drivers and employee job performance in the Malaysian Manufacturing Industry. Several dimensions for employee job performance were considered in this research namely job stress, motivation, and workload. In addition, the mediating effect of perceived job insecurity was also evaluated on the relationship between technology adoption and employee job performance. Employing a quantitative research method, data was collected from 370 respondents through a structured online survey questionnaire. The findings indicated that job satisfaction and motivation to be statistically significant while the workload was failed to be retained in the research. Additionally, there was no statistical evidence for the mediating effect of job insecurity in the research. It is envisaged that these findings will provide incremental insights into the existing body of knowledge while providing some directions to the organization in determining the right set of drivers inculcating technology adoption for improved job performance.

Abramis, D. J. (1994). Relationship of job stressors to job performance: Linear or an inverted-U?. Psychological Reports, Vol. 75(1), pp. 547-558.
Achieng, D. O., & Jagero, J. A. (2014). Management Support in Adoption of Computer Integrated Model in Financial Forecasting. International Journal of Academic Research in Accounting, Finance and Management Sciences, Vol. 4(2), pp. 170-179.
Ahmad, S. (2014). Technology in organizations. International Journal of Research in Business Management, Vol. 2(7), pp. 73-80.
Ahmad, A., Khan, M. U., Srikanth, A. B., Patel, I., Nagappa, A. N., & Jamshed, S. Q. (2015). Evaluation of workload and its impact on satisfaction among pharmacy academicians in Southern India. Journal of Clinical and Diagnostic Research, Vol. 9(6), FC01.
Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, Vol. 50(2), pp. 179-211.
Ammar, T. (2006). The effect of internal variables on the level of job stress on the employees of Palestinian Universities at Gaza Strip. Master thesis. Islamic University, Gaza, 55.
Al-Aulamie, A. (2013) 'Enhanced technology acceptance model to explain and predict learners' behavioural intentions in learning management systems'. Ph.D. thesis. University of Bedfordshire.
Ali, W., Raheem, A., Nawaz, A., & Imamuddin, K. (2014). Impact of stress on job performance: An empirical study of the employees of Private Sector Universities of Karachi, Pakistan. International Science Congress Association, Vol. 3(7), pp. 14-17.
Awan, W. A., & Salam, A. (2014). Identifying the relationship between job insecurity and employee performance–An evidence from private colleges in Larkana, Pakistan. Beykent University Journal of Social Sciences, Vol. 7(1), pp. 23-30.
Bagozzi, R. P. (2007). The legacy of the technology acceptance model and a proposal for a paradigm shift. Journal of the Association for Information Systems, Vol. 8(4), pp. 244-254.
Benamati, J., & Lederer, A. L. (2001). Coping with rapid changes in IT. Communications of the ACM, Vol. 44(8), pp. 83-88.
Bernerth, J. (2004). Expanding our understanding of the change message. Human Resource Development Review, Vol. 3(1), pp. 36-52.
Bhaduri, S., & Kumar, H. (2011). Extrinsic and intrinsic motivations to innovate: tracing the motivation of ‘grassroot’ innovators in India. Mind & Society, Vol. 10(1), pp. 27-55.
Borman, W. C., & Motowidlo, S. M. (1993). Expanding the Criterion Domain to Include Elements of Contextual Performance, in N. Schmitt & W. C. Borman (Eds.), Personnel Selection in Organizations, p. 71-98.
Borg, I., & Elizur, D. (1992). Job insecurity: Correlates, moderators and measurement. International Journal of Manpower, Vol. 13(2), pp. 13-26.
Campbell, D., & Sengenberger W. (1994). Labour standards, economic efficiency and development: lessons from experience with industrial restructuring. International Institute for Labor Studies, Vol. 49(2), pp. 421-39.
Chuan, C. L. (2006). Sample size estimation using Krejcie and Morgan and Cohen statistical power analysis: A comparison. Jurnal Penyelidikan IPBL, Vol. 7(1), pp. 78-86.
Conway, P. M., Campanini, P., Sartori, S., Dotti, R., & Costa, G. (2008). Main and interactive effects of shift work, age and work stress on health in an Italian sample of healthcare workers. Applied Ergonomics, Vol. 39(5), pp. 630-639.
Conley, S., & Woosley, S. A. (2000), Teacher role stress, higher order needs and work outcomes. Journal of Educational Administration, Vol. 38(2), pp. 179-201.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, Vol. 13(3) pp. 319-340.
Dauda, Y. A., & Akingbade, W. A. (2011). Technology innovation and Nigeria banks performance: The assessment of employee’s and customer’s responses. American Journal of Social and Management Sciences, Vol. 2(3), pp. 329-340.
DeCenzo, D. A., & Robbins, S. P. (1996). Human resources management. New York: John Wiley & Sons, I

In-Text Citation: (Baskaran et al., 2020)
To Cite this Article: Baskaran, S., Lay, H. S., Ming, B. S., & Mahadi, N. (2020). Technology Adoption and Employee’s Job Performance: An Empirical Investigation. International Journal of Academic Research in Economics and Managment and Sciences, 9(1), 42–66.