Abstract
This empirical study investigates the ability of information technology (IT) infrastructure integration and supply chain process integration to moderate the relationships between the importance of the perceived seven adoption attributes and system deployment outcomes, operational efficiency and market knowledge creation in radio frequency identification (RFID)-enabled supply chains. The moderated regression procedure suggested by Aguinis was applied and indicated that three adoption attributes, relative advantage, results, and image turned out to be the most important attributes in these RFID systems.
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References
Angeles, R.: Anticipated IT Infrastructure and Supply Chain Process Integration Capabilities for RFID and Their Associated Deployment Outcomes. Intl. J. of Info. Mgt. 3, 219–231 (2009)
Angeles, R.: Anticipated IT Infrastructure and Supply Chain Process Integration Capabilities for RFID and Their Associated Deployment Outcomes. In: Proceedings of the ACM iiWAS Workshops: ERPAS 2008: Business and Service Model, pp. 634–646 (2008)
Angeles, R.: Moderated Multiple Regression of Absorptive Capacity Attributes and Deployment Outcomes: The Importance of RFID IT Infrastructure Integration and Supply Chain Process Integration. Intl. J. of Info. Sys. and SCM 3, 25–51 (2010)
Fichman, R.G.: Information Technology Diffusion: A Review of Empirical Research. In: Proceedings 13th International Conference on Information Systems, Dallas, Texas, pp. 195–206 (1992)
Rogers, E.M.: Diffusion of Innovations. Free Press, New York (1983)
Moore, G.C., Benbasat, I.: Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation. Info. Sys. Res. 2(3), 192–222 (1991)
Davis, F.D.: Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Q. 13(3), 319–339 (1989)
Davis, F.D., Bagozzi, R.P., Warshaw, P.R.: User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Mgt. Sc. 35, 982–1003 (1989)
Malhotra, A., Gosain, S., El Sawy, O.A.: Absorptive Capacity Configurations in Supply Chains: Gearing for Partner-Enabled Market Knowledge Creation. MIS Q. 29(1), 145–187 (2005)
Patnayakuni, R., Rai, A., Seth, N.: Relational Antecedents of Information Flow Integration for Supply Chain Coordination. MIS Q. 23(1), 13–49 (2006)
Lee, H.L., Padmanabhan, V., Whang, S.: The Bullwhip Effect in Supply Chains. Sloan. Mgt. Rev. 38(3), 93–102 (1997)
Stevens, G.C.: Successful Supply Chain Management. Mgt. Dec. 28(8), 25–30 (1990)
Mabert, V.A., Venkatraman, M.A.: Special Research Focus on Supply Chain Linkages: Challenges for Design and Management in The 21st Century. Dec. Scs. 29(3), 537–550 (1998)
Mangan, J., Lalwani, C., Butcher, T.: Global Logistics and Supply Chain Management. John Wiley & Sons, Hoboken (2008)
Aguinis, H.: Regression Analysis for Categorical Moderators. Guilford Press, New York (2004)
Evans, M.G.: A Monte Carlo Study of the Effects of Correlated Method Variance in Moderated Multiple Regression Analysis. Orgl. Beh. and Human Dec. Proc. 36, 302–323 (1985)
Hurt, H., Hubbard, R.: The Systematic Measurement of the Perceived Characteristics Of Information Technologies: Microcomputers as Innovations. In: Proceedings of The ICA Annual Conference, Montreal, Quebec (May 1987)
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Angeles, R. (2010). Moderated Regression: Effects of IT Infrastructure Integration and Supply Chain Process Integration on the Relationships between RFID Adoption Attributes and System Deployment Outcomes. In: Quintela Varajão, J.E., Cruz-Cunha, M.M., Putnik, G.D., Trigo, A. (eds) ENTERprise Information Systems. CENTERIS 2010. Communications in Computer and Information Science, vol 110. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16419-4_42
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DOI: https://doi.org/10.1007/978-3-642-16419-4_42
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