Information Sharing and Supply Chain Collaboration: Strategy for Higher Firm Performance in Ghana
- 1 College of Economics and Management, Taiyuan University of Technology, Taiyuan, China
- 2 College of Economics and Management, Taiyuan University of Technology, Taiyuan, China
- 3 College of Economics and Management, Taiyuan University of Technology, Taiyuan, China
- 4 College of Economics and Management, Taiyuan University of Technology, Taiyuan, China
Abstract
Information sharing (IS) has been considered a vital aspect of supply chain management practices. However, it is inadequate to induce a significant increment in performance, so there is a need for collaboration within the supply chain network arises. This study seeks to determine the position of Information Sharing (IS) practices and Supply Chain Collaboration (SCC) in Firm Performance (FP). The study emphasizes that firms exchange information because of the competitive influence stemming from the business environment. The study administered questionnaires to manufacturing firms in Ghana with 201 respondents, and the structural equation modeling tested the relationship between IS, SCC, and FP. The results indicate that firms with higher levels of IS and SCC witness high-performance rates. Also, supply chain collaboration can have a direct, positive influence on the performance of firms. The study is limited in scope, which lessens the generalization of the results. This study is unique because it simultaneously examines the role of information sharing on both collaboration and firm performance.
- Bagozzi, R. P., Yi, Y., & Phillips, L. W. (1991). Assessing Construct Validity in Organizational Research. Administrative Science Quarterly, 36, 421-458. https://doi.org/10.2307/2393203
- Baihaqi, I., & Sohal, A. S. (2012). The Impact of Information Sharing in Supply Chains on Organisational Performance: An Empirical Study. Production Planning & Control, 24, 743-758. https://doi.org/10.1080/09537287.2012.666865
- Barney, J. (2016). Firm Resources and Sustained Competitive Advantage. Journal of Management, 17, 99-120. https://doi.org/10.1177/014920639101700108
- Bartlett, M. S. (1954). A Note on the Multiplying Factors for Various Chi-Square Approximations. Journal of the Royal Statistical Society, Series B (Methodological), 16, 296-298. https://doi.org/10.1111/j.2517-6161.1954.tb00174.x
- Bobko, P., Roth, P. L., & Buster, M. A. (2007). The Usefulness of Unit Weights in Creating Composite Scores: A Literature Review, Application to Content Validity, and Meta-Analysis. Organizational Research Methods, 10, 689-709. https://doi.org/10.1177/1094428106294734
- Droge, C., Jayaram, J., & Vickery, S. K. (2004). The Effects of Internal versus External Integration Practices on Time-Based Performance and Overall Firm Performance. Journal of Operations Management, 22, 557-573. https://doi.org/10.1016/j.jom.2004.08.001
- Kaiser, H. F. (1974). An Index of Factorial Simplicity. Psychometrika, 39, 31-36. https://doi.org/10.1007/BF02291575
- Kim, D., Cavusgil, S. T., & Calantone, R. J. (2006). Information System Innovations and Supply Chain Management: Channel Relationships and Firm Performance. Journal of the Academy of Marketing Science, 34, Article No. 40. https://doi.org/10.1177/0092070305281619
- Li, S., & Lin, B. (2006). Accessing Information Sharing and Information Quality in Supply Chain Management. Decision Support Systems, 42, 1641-1656. https://doi.org/10.1016/j.dss.2006.02.011
- Min, H. J., Joo, S.-J., & Nicolas-Rocca, T. S. (2016). Information System Outsourcing and Its Impact on Supply Chain Performances. International Journal of Logistics Systems and Management, 24. https://doi.org/10.1504/IJLSM.2016.077280
- Moberg, C. R., Cutler, B. D., Gross, A., & Speh, T. W. (2002). Identifying Antecedents of Information Exchange within Supply Chains. International Journal of Physical Distribution and Logistics Management, 32, 755-770. https://doi.org/10.1108/09600030210452431