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International Journal of Academic Research in Business and Social Sciences

Open Access Journal

ISSN: 2222-6990

Advanced Operations Technology on Cost Performances in Services: Stakeholder Integration As Mediator

Fazli Idris, Main Naser Alolayyan, Anjar Priyono

http://dx.doi.org/10.6007/IJARBSS/v12-i11/14724

Open access

The objective of the study is to determine the impact of advanced operation technology and stakeholder integration on firms’ costs performances. A model is proposed that links advanced operations technology (AOT), to firms’ cost performances (CP) via stakeholder integration (SI). The underlying dimensions of advanced operations technology, stakeholder integration, and costs performances were empirically verified and validated through confirmatory factor analysis (CFA), reliability analysis procedure, and construct validity test. Structural Equation Modeling (SEM) was employed to test the model, drawing on a sample of 254 operations managers or equivalent positions who work in service sectors in Malaysia. Data analysis revealed that, a significant relationship was found between the level of stakeholder integration and costs performances. Further, advanced operations technology significantly influences costs performances and it was realized through the mediating role of stakeholder integration. Overall, as this study confirms the impact of advanced operations technology on stakeholder integration and costs performances in services sector in Malaysia, Managers should pay attention to enhancing technology and stakeholder integration in their organizations.

Ahi, A. N., Sinkovics, Y., Shildibekov, R. R., Sinkovics, N. M. (2021). Advanced technologies and international business: A multidisciplinary analysis of the literature. International Business Review in press. online 9 December 2021, 101967
Autry, C. W., Rose, W. J., and Bell, J. E. (2014), “Reconsidering the supply chain integration-performance relationship: in search of theoretical consistency and clarity”, Journal of Business Logistics, Vol. 35 No. 3, pp. 275-276.
Anderson M., and Soha, A. S. (1999) A study of relationship between quality management practices and performance in small businesses International Journal of Quality and Reliability Management. 16. 859-877
Bollen, K. A. (1989) Structural Equations with Latent Variables, Wiley, New York, NY.
Byrne, B. M. (2010) Structural Equation Modeling with Amos, Routledge, New York, London.
Browne, M. W., & Cudeck, R. (1993). Alternative ways of assessing model fit. In K. A. Bollen and J. S. Long (Eds.), Testing structural equation models (pp. 136-162). Newbury Park, CA: Sage.)
Creswell, J. W. (2008). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (3rd ed.). Upper Saddle River, NJ: Pearson Education, Inc.
Demetera, K. , Szaszb, L., Raczc, B. G. (2016) The impact of subsidiaries’ internal and external integration on operational performance International Journal of Production Economics. 182, pp 73-85
Fawcett, S. E., Fawcett, A. M., Watson, B. J., and Magnan, G. M. (2012), “Peeking inside the black box: toward an understanding of supply chain collaboration dynamics”, Journal of Supply Chain Management, Vol. 48 No. 1, pp. 44-72.
Feng, M., Yu, W., Chavez, R., Mangan, J., Zhang, X. (2017). Guanxi and operational performance: The mediating role of supply chain integration. Industrial Management & Data Systems 2017, 117(8), 1650-1668.
Gupta, Y. P., and Somers, T. M. (1996), Business strategy, manufacturing flexibility and organizational performance relationships: a path analysis approach, Production and Operations Management, 5, 3, pp. 204-233.Hair et al. (2006)
Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham, R. L. (2006). Multivariate data analysis (6th Eds.). Upper Saddle River, New Jersey, USA: Prentice- Hall, International Inc.
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate Data Analysis. Seventh Edition. Prentice Hall, Upper Saddle River, New Jersey,
Hendricks, K. B., & Singhal, V. R. (1997). “Delays in New Product Introductions and the Market Value of the Firm: The Consequences of Being Late to the Market”, Management Science, 43 (4): 422-436
Jonas, J. M., & Roth A. (2017). Stakeholder integration in service innovation - an exploratory case study in the healthcare industry. International Journal of Technology Management. 73(1/2/3),.
Kano, L., Tsang, E. W., & Yeung, H. W.-C (2020). Global value chains: A review of the multi-disciplinary literature. Journal of International Business Studies, 51(4), 577–622.
Kline, R. B. (2011) Principles and Practice of Structural Equation Modeling, 3rd ed., The Guilford Press, New York.
Noh, J., and Fitzsimmons, J. A. (1999) Effect of information technology on marketing performance of Korean service firms, International Journal of Service Industry Management, Vol. 10 No. 3, 1999, pp. 307-319
Nunnally, J. C. (1978). Psychometric Theory (2nd ed.). New York: McGraw-Hill.
Salam, A. (2017). The mediating role of supply chain collaboration on the relationship between technology, trust and operational performance An empirical investigation. Benchmarking An International Journal 24(2) Vol. 24 No. 2, pp. 298-317
Roloff, J., Aßlander, M. S., Nayir, D. Z. (2015) "The supplier perspective: forging strong partnerships with buyers", Journal of Business Strategy, Vol. 36 Issue: 1, pp.25-32,
Vanpoucke, E., Vereecke, A., Muylle, S. (2017) "Leveraging the impact of supply chain integration through information technology", International Journal of Operations & Production Management, Vol. 37 Issue: 4, pp.510-530,

In-Text Citation: (Idris et al., 2022)
To Cite this Article: Idris, F., Alolayyan, M. N., & Priyono, A. (2022). Advanced Operations Technology on Cost Performances in Services: Stakeholder Integration As Mediator. International Journal of Academic Research in Business and Social Sciences, 12(11), 249 – 260.