The Impact of Information Technology Flexibility on the Competitive Performance of Ports through the Mediating Role of Supply Chain Capabilities (An analytical study on a sample of individuals working in Umm Qasr port)
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Abstract
The information technology of flexibility (ITF) and its relationship to competitive performance is one of the important topics that are still in the exploratory stages, especially in Arab environments, and this study was based on dynamic capabilities. This study was applied in the General Company for Ports of Iraq / um Qasr Port in Basra. The current study relied on the descriptive analytical approach and the study data was collected using the questionnaire tool that was distributed to the study sample of 368 working individuals. Through the use of statistical methods in my program (SPSS. V.24 _ AMOS. V.24) The study reached several conclusions and recommendations. The most important of which is the positive and direct impact of(ITF) on competitive performance and indirectly through supply chain capabilities. The study recommends the need to pay attention to the capabilities of the supply chain in terms of speed of response and coordination, integration of activity and the availability of the ability to transfer and exchange information, as the role of information technology flexibility and its positive impact is clearly visible, and its impact extends through the capabilities of the supply chain, which is reflected in improving the overall performance of ports.
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References
Augier, M., & Teece, D. J. (2009). Dynamic capabilities and the role of managers in business strategy and economic performance. Organization Science, 20(2), 410–421.
Barney, J. B. (2001). Resource-based theories of competitive advantage: A ten-year retrospective on the resource-based view. Journal of management, 27(6),pp. 643-650.
Benitez, J., Castillo, A., Llorens, J., & Braojos, J. (2018). ITenabled knowledge ambidexterity and innovation performance in small US firms: The moderator role of social media capability. Information & Management, 55(1), 131–143.
Bharadwaj, A. S. (2000). A resource-based perspective on information technology capability and firm performance: an empirical investigation. MIS Quarterly 24 (1), 169-196.
Brynjolfsson, E. (1993). The productivity paradox of information technology. Communications of the ACM, 36(12), 66-77.
Brynjolfsson, E., & Hitt, L. (1996). Paradox lost? Firm-level evidence on the returns to information systems spending. Management science, 42(4), 541-558.
Bush, A. A., Tiwana, A., & Rai, A. (2010). Complementarities between product design modularity and IT infrastructure flexibility in IT-enabled supply chains. IEEE transactions on Engineering Management, 57(2), 240-254.
Byrd, T. A., & Turner, D. E. (2001). An exploratory examination of the relationship between flexible IT infrastructure and competitive advantage. Information & Management, 39(1), 41-52.
Byrd, T.A., Turner, D.E., (2000). Measuring the flexibility of information technology infrastructure: exploratory analysis of a construct. J. Manag. Inf. Syst. 17 (1), 167–208.
Carter, C.R., Rogers, D.S. and Choi, T.Y. (2015). Toward the theory of the supply chain., Journal of Supply Chain Management, Vol. 51 No. 2, pp. 89-97.
Chanopas, A., Krairit, D., & Khang, D. B. (2006). Managing information technology infrastructure: a new flexibility framework. Management Research News.
Chen, H., Daugherty, P. J., & Landry, T. D. (2009). Supply chain process integration: a theoretical framework. Journal of business logistics, 30(2),pp. 27-46.
Chen, Y., Wang, Y., Nevo, S., Benitez, J., & Kou, G. (2017). Improving strategic flexibility with information technologies: Insights for firm performance in an emerging economy. Journal of Information Technology, 32(1), 10–25.
De Leeuw, A. C., and Volberda, H. W. (1996). On the concept of flexibility: a dual control perspective. Omega, 24(2), 121-139.
Devaraj, S., Krajewski, L., & Wei, J. C. (2007). Impact of eBusiness technologies on operational performance: the role of production information integration in the supply chain. Journal of operations management, 25(6),pp. 1199-1216.
Dixon, S., Meyer, K., and Day, M. (2014). Building dynamic capabilities of adaptation and innovation: A study of micro-foundations in a transition economy. Long Range Planning, 47(4),pp. 186-205.
Duclos, L.K., Vokurka, R.J. and Lummus, R.R., (2003). A conceptual model of supply chain flexibility. Industrial Management and Data Systems, 103(6), pp. 446–456.
Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: what are they? Strategic Management Journal, 21(10-11), 1105-1121.
El Sawy, O. A., Malhotra, A., Park, Y., and Pavlou, P. A. (2010). Research commentary—seeking the configurations of digital ecodynamics: It takes three to tango. Information Systems Research, 21(4), 835–848.
Fasanghari, M. (2008, August). Assessing the impact of information technology on supply chain management. In 2008 International Symposium on Electronic Commerce and Security (pp. 726-730). IEEE.
Field, A. (2009). Discopering Statistics Using SPSS, Thrid Edition.
Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and analytics. International journal of information management, 35(2), 137-144.
Gawankar, S., Kamble, S., & Raut, R. (2016). Development, measurement and validation of supply chain performance measurement (SCPM) scale in Indian retail sector. Benchmarking: An International Journal, Vol. 23 No. 1, pp. 25-60.
Gligor, D. and Holcomb, M. (2012). Antecedents and consequences of supply chain agility: establishing the link to firm performance, Journal of Business Logistics, Vol. 33 No. 4, pp. 295-308.
Hair Jr, J. F., Matthews, L. M., Matthews, R. L., & Sarstedt, M. (2017). PLS-SEM or CB-SEM: updated guidelines on which method to use. International Journal of Multivariate Data Analysis, 1(2),pp. 107-123.
Hair, J.F., Black, W.C., Babin, B.J., and Anderson, R.E. (2010). Multivariate Data Analysis. 7th ed. Pearson prentice Hall.
Han, C. H. (2018). Assessing the impacts of port supply chain integration on port performance. The Asian Journal of Shipping and Logistics, 34(2),pp. 129-135.
Han, J. H., Wang, Y., & Naim, M. (2017). Reconceptualization of information technology flexibility for supply chain management: An empirical study. International Journal of Production Economics, 187,pp. 196-215.
Hou, C. K. (2020). The effects of IT infrastructure integration and flexibility on supply chain capabilities and organizational performance: An empirical study of the electronics industry in Taiwan. Information Development, 36(4),pp. 576-602.
Huo, B., Zhao, X., & Zhou, H. (2014). The effects of competitive environment on supply chain information sharing and performance: an empirical study in China. Production and Operations Management, 23(4),pp. 552-569.
Irfan, M., Wang, M., & Akhtar, N. (2019). Impact of IT capabilities on supply chain capabilities and organizational agility: a dynamic capability view. Operations Management Research, 12(3),pp. 113-128.
Ju, K. J., Park, B., & Kim, T. (2016). Causal relationship between supply chain dynamic capabilities, technological innovation, and operational performance. Management and Production Engineering Review, Vol. 7 No. 4, pp. 6-15.
Kayworth, T. R., Chatterjee, D., & Sambamurthy, V. (2001). Theoretical justification for IT infrastructure investments. Information Resources Management Journal (IRMJ), 14(3), 5-14.
Kerr, A. W., Hall, H. K., & Kozub, A. K. (2002). Doing Statistics with SPSS. SAGE Publications, London.
Kim, G., Shin, B., Kim, K. K., & Lee, H. G. (2011). IT capabilities, process-oriented dynamic capabilities, and firm financial performance. Journal of the association for information systems, 12(7),pp.487-587.
Kim, S. W. (2009). An investigation on the direct and indirect effect of supply chain integration on firm performance. International journal of production economics, 119(2),pp. 328-346.
Kline, R. B. (2011). Principles and practice of structural equation modeling. 3rd ed., New York: Guilford Press.
Kohli, R., & Grover, V. (2008). Business value of IT: An essay on expanding research directions to keep up with the times. Journal of the association for information systems, 9(1), 1. 23-39
Lambert, D. M., & Cooper, M. C. (2000). Issues in supply chain management. Industrial marketing management, 29(1),pp. 65-83.
Lee, H. L. (2004). The triple-A supply chain. Harvard business review, 82(10),102-113.
Li, G., Lin, Y., Wang, S. and Yan, H. (2006). Enhancing agility by timely sharing of supply information. Supply Chain Management: An International Journal, Vol. 11 No. 5, pp. 425-435.
Limaj, E., Bernroider, E. W., & Choudrie, J. (2016). The impact of social information system governance, utilization, and capabilities on absorptive capacity and innovation: A case of Austrian SMEs. Information & Management, 53(3), 380–397.
Lu, Y., and Ramamurthy, K. (2011). Understanding the link between information technology capability and organizational agility: An empirical examination. MIS Quarterly, 35(4),pp. 931–954.
Mikalef, P., and Pateli, A. (2017). Information technology-enabled dynamic capabilities and their indirect effect on competitive performance: Findings from PLS-SEM and fs QCA. Journal of Business Research, 70, 1–16.
Mikalef, P., Krogstie, J., Pappas, I. O., & Pavlou, P. (2020). Exploring the relationship between big data analytics capability and competitive performance: The mediating roles of dynamic and operational capabilities. Information & Management, 57(2), 103-169.
Mikalef, P., Pateli, A., & van de Wetering, R. (2016). IT flexibility and competitive performance: The mediating role of IT-enabled dynamic capabilities.pp 1-15
Ngai, E. W., Chau, D. C., & Chan, T. L. A. (2011). Information technology, operational, and management competencies for supply chain agility: Findings from case studies. The Journal of Strategic Information Systems, 20(3), 232-249.
Notteboom, T. E. and Rodrigue, J.-P., (2005), Port regionalization: towards a new phase in port development. Maritime Policy & Management, 32(3), 297–313.
Olavarrieta, S., & Ellinger, A. E. (1997). Resource‐based theory and strategic logistics research. International Journal of Physical Distribution & Logistics Management Vol. 27 Nos 9/10, pp. 559-587.
Overby, E., Bharadwaj, A., and Sambamurth, V.(2006). Enterprise Agility and the Enabling Role of Information Technology, European Journal of Information Systems, , pp. 120-131.
Paixao, A.C. and Marlow, P.B. (2003), Fourth generation ports – a question of agility?, International Journal of Physical Distribution & Logistics Management, Vol. 33 No. 4, pp. 355 376.
Panayides, P.M. and Song, D.W. (2008). Evaluating the integration of seaport container terminals in supply chains, International Journal of Physical Distribution & Logistics Management, Vol. 38 No. 7, pp. 562-584.
Panayides, P.M. and Song, D.W. (2009). Port integration in global supply chains: measures and implications for maritime logistics. International Journal of Logistics: Research and Applications, Vol. 12 No. 2, pp. 133-145.
Pavlou, P. A. and El Sawy, O. A. (2011). Understanding the elusive black box of dynamic capabilities. Decision Sciences 42 (1),pp. 239-273.
Pavlou, P. A., & El Sawy, O. A. (2006). From IT leveraging competence to competitive advantage in turbulent environments: The case of new product development. Information systems research, 17(3), 198-227.
Powell, T. C., and Dent-Micallef, A. (1997). Information technology as competitive advantage: The role of human business, and technology resources. Strategic Management Journal, 18(5), 375 – 405.
Protogerou, A., Caloghirou, Y., & Lioukas, S. (2011). Dynamic capabilities and their indirect impact on firm performance. Industrial and Corporate Change, 21(3), 615–647.
Radjou, N. (2003). U.S. manufacturers’ supply chain mandate. World Trade, 16(12), 42 – 46.
Rai, A., Patnayakuni, R., & Seth, N. (2006). Firm performance impacts of digitally enabled supply chain integration capabilities. MIS quarterly, 225-246.
Robinson, R. (2002). Ports as elements in value-driven chain systems: the new paradigm. Maritime Policy & Management, 29(3), 241-255.
Rowe, F., Besson, P., & Hemon, A. (2017). Socio-technical inertia, dynamic capabilities and environmental uncertainty: Senior management view and implications for organizational transformation.
Sambamurthy, V., Bharadwaj, A. and Grover, V. (2003). Shaping agility through digital options: reconceptualizing the role of information technology in contemporary firms. MIS Quarterly 27 (2),pp. 237-263.
Schilke, O. (2014). On the contingent value of dynamic capabilities for competitive advantage: The nonlinear moderating effect of environmental dynamism. Strategic Management Journal 35(2), 179-203.
Schreyögg, G., & Kliesch-Eberl, M. (2007). How dynamic can organizational capabilities be? Towards a dual-process model of capability dynamization. Strategic Management Journal, 28(9), 913–933.
Sethi, A., Sethi, S., (1990). Flexibility in manufacturing: a survey. Int. J. Flex. Manuf. Syst. 2 (4), 289–328.
Siau, K., & Tian, Y. (2004). Supply chains integration: architecture and enabling technologies. Journal of Computer Information Systems, 44(3),pp. 67-72.
Singh, K. (2007). Quantitative social research methods. New Delhi. Sage Publications.
Stank, T., Crum, M., and Arango, M. (1999). Benefits of interfirm coordination in food industry supply chains. Journal of business logistics, 20(2), 21.41
Strassmann, P. A. (1990). The business value of computers: an executive's guide. Information Economics Press.
Tanriverdi, H., Rai, A., and Venkatraman, N. (2010). Research commentary—reframing the dominant quests of information systems strategy research for complex adaptive business systems. Information systems research, 21(4),pp. 822-834.
Teece, D. J. (2007). Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance. Strategic management journal, 28(13), 1319-1350.
Teece, D. J., Pisano, G. and Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal 18 (7), 509-533.
Thompson, S.K. (2002), Sampling, 2nd ed., Wiley, New York.
Tongzon, J., Chang, Y.T. and LEE, S.Y., (2009). How supply chain oriented is the port sector?, International Journal of Production Economics, 122 (1), 21-34.
Upton, D., (1995). What really makes factories flexible? Harv. Bus. Rev. 73 (4), 74–84
Volberda HW (2003) Strategic flexibility: creating dynamic competitive advantages. In: Faulkner D, Campbell A (eds) The Oxford handbook of strategy. Oxford University Press, Oxford, pp 447–506.
Wade, M. and Hulland, J. (2004). Review: The resource-based view and information systems research: Review, extension, and suggestions for future research. MIS Quarterly 28 (1),pp. 107-142.
Wang, E. T., & Wei, H. L. (2007). Interorganizational governance value creation: coordinating for information visibility and flexibility in supply chains. Decision Sciences, 38(4),pp. 647-674.
Wetering, Rogier; Mikalef, Patrick; and Pateli, Adamantia, (2017). a strategic alignment model for it flexibility and dynamic capabilities: toward an assessment tool. In Proceedings of the 25th European Conference on Information Systems (ECIS), Guimarães, Portugal, June 5-10, 2017 (pp. 1468-1485).
Widaman, K. F., & Thompson, J. S. (2003). On specifying the null model for incremental fit indices in structural equation modeling. Psychological methods, 8(1),pp. 16-37.
Woo, S.H., Pettit, S., Beresford, A., (2013). An assessment of the integration of seaport into supply chain using a structural equation model, Supply Chain management, Vol. 18, No. 3, pp. 235-252.
Wu, F., Yeniyurt, S., Kim, D., & Cavusgil, S. T. (2006). The impact of information technology on supply chain capabilities and firm performance: A resource-based view. Industrial Marketing Management, 35(4),pp. 493-504.
Yu, Y., Huo, B., & Zhang, Z. J. (2021). Impact of information technology on supply chain integration and company performance: evidence from cross-border e-commerce companies in China. Journal of Enterprise Information Management.