International Journal of Academic Research in Business and Social Sciences

search-icon

Moderating Effect of Gender and Work Experience on Information Exchange and Supply Chain Performance

Open access
This study attempts to examine the moderating effects of gender and employee work experience on the relationship between information exchange practices (relational competence and information technology competence) and supply chain performance in manufacturing firms in Edo state using AMOS 23.0. The study in conducting its analysis used a sample size of eighty-five.The study found that the effect of relational competence on information exchange is attributed to the male employees, while the effect of information technology competence on information exchange is attributed to the female employees. Also, the effect of information exchange on supply chain performance is largely attributed to the male employees. By implication this study found out that the impact of information exchange on supply chain performance is contributed mostly by the males. With respect to experience, our result indicated thatthe influence information exchange had on supply chain performance is as a result of the employees within the category of 11-15 years of experience.
Anon. (2001). Random House Webster’s unabridged dictionary. New York: Random House.
Barratt, M. & Oke, A. (2007). Antecedents of supply chain visibility in retail supply chains:
a resource-based theory perspective.Journal of Operations Management, 25(6), 1217-1233.
Bergmann, R. (2002). Experience management: foundations, development methodology and
internet-based applications. Berlin: Springer.
Byrne, B. (2010). Structural Equation Modeling with AMOS. Routledge, Taylor & Francis Group, New York.
Chan, C. K., & Lee, H. W. (2005). Successful Strategies in Supply Chain Management. Hershey,
PA: Idea Group
Chandra, K., & S. Kumar. (2000). Supply chain management in theory and practice: a passing fad
or a fundamental change?.Industrial Management & Data System,100 (3): 100–113.
Chen, I. J. &Paulraj, A. (2004). Towards a theory of supply chain management: the constructs
and measurements. Journal of Operations Management, 22(2), 119-150.
Davarajh, S., & G. Bright (2013). Advanced quality management system for product families in
mass customization and reconfigurable manufacturing.Assembly Automation 33 (2), 127–138.
Flynn, B. B., Huo, B. & Zhao, X. (2010). The impact of supply chain integration on performance:
A contingency and configuration approach.Journal of Operations Management, 28(1),58-71.
Ghatebi, M., E. Ramezani, & Shiraz, M. A. E. (2013). Impact of supply chain management
practices on competitive advantage in manufacturing companies of Khuzestan province. Interdisciplinary Journal of Contemporary Research in Business 5 (6), 269–274.
Gunasekaran, A. (2004). Supply chain management: theory and applications. European
Journal of Operational Research, 159 (2), 265–268.
Kim, C. & Yang, L. (2014). An empirical study on the causal relation of information exchange,
supply chain integration process and customer satisfaction in China company.Journal of Korean Distribution and Management, 17(6), 95-106.
Kirlio?glu, H., & Z. Cevik. (2013). Measuring and reporting cost of quality in a Turkish
manufacturing company: a case study in electric industry. Journal of Economic and Social Studies 3 (2), 87–100.
Li, G., Yang, H., Sun, L. & Sohal, A. S. (2009). The impact of IT implementation on supply
chain integration and performance.Int. J. Production Economics, 120, 125-138.
Lin, C. P. (2006). Gender differs: Modeling knowledge sharing from a perspective of
social network ties. Asian Journal of Social Psychology 9(3), 236–241.
Ha, D., Lee, Y., Lee, S. & Jung, J. (2013). Factors affecting information exchange of paprika
farms to apply scm.Journal of the Korean Society of Supply Chain Management, 13(1), 77-86.
Hair, J., Black, W., Babin, B., Anderson, R., & Tatham R. (2010). Multivariate Data Analysis. 7th ed. Pearson Prentice Hall, UpperSaddle River.
Hu, L., & Bentler, P. (1999) Cutoff criteria for fit indexes in covariance structure analysis: conventional criteria versus new alternatives. StructEqu Model: Multidiscip J. 6(1),1–55
Joreskog, K., & Sorbom, D. (1993). LISREL 8. Scientific Software International, Chicago.
Moberg, C. R., Cutler, B. D., Gross, A. & Speh, T. W. (2009). Identifying antecedents of
information exchange within supply chain.International Journal of Physical Distribution & Logistics Management, 32(9),755-770.
Paulraj, A., Lado, A. A. & Chen, I. J. (2012). Inter-organizational communication as a relational
competency: antecedents and performance outcomes in collaborative buyer-supplier relationships.Journal of Operations Management, 26(1), 45-64.
Smith, K. G., Carroll, S. J. & Ashford, S. J. (1995). Intra- and interorganizational cooperation:
toward a research agenda. Academy of Management Journal, 38(1), 7-23.
Taylor, W. A. (2004). Computer-mediated knowledge sharing and individual user differences: An
exploratory study. European Journal of Information Systems, 13(1), 52–64.
Terjesen, S., Patel. P. C. & Sanders, N. R., (2012). Managing differentiation-integration du
In-Text Citation: (Ejechi & Oshodin, 2019)
To Cite this Article: Ejechi, J., & Oshodin, E. (2019). Moderating Effect of Gender and Work Experience on Information Exchange and Supply Chain Performance. International Journal of Academic Research in Business and Social Sciences, 9(6), 673–682.