Does Supply Chain Information Technology Improve Firm Performance? A Meta-Analytic Evaluation
Location
Room 2905 B
Session Format
Paper Presentation
Research Area Topic:
Business Administration - Logistics
Co-Presenters and Faculty Mentors or Advisors
Alan W. Mackelprang, Ph.D.
Gerard J. Burke, Ph.D.
Abstract
Background
Supply chain information technology (SCIT) has been widely adopted to allow firms to share information seamlessly and inexpensively. However, there is still skepticism about the benefits and returns of investing in SCIT (Sheehan 2014). Although many attempts have been made by scholars to explicate the benefits of SCIT, consensus as to the efficacy of SCIT in improving firm performance remains elusive.
Research Objective
The purpose of this paper is to conduct a meta-analysis to uncover generalities, better comprehend underdeveloped areas of research stream, and consolidate SCIT studies across bodies of literature.
Study Design
We will perform a meta-analysis of correlations as instructed by Hunter and Schmidt (2004). A meta-analysis of correlations provides insight of a phenomenon by finding the actual correlations between variables of interests and can correct statistical artifacts, such as sampling and measurement errors.
Data sources
We followed a modified version of widely utilized sample selection from David and Han (2004). We include not only researches from well-respected journals in relevant domain, but also possible relevant studies published in other journals or even unpublished research such as doctoral dissertation.
Principal Findings
We found that SCIT is a complex artifact with many characteristics and each characteristic can be used for different purposes. Consequently, these differing purposes and uses can lead to diverse outcomes, even when the underlying technologies are Similar.
Implications
Our study consolidates and integrates studies of SCIT across fields of literature. Second, we identify areas of study that are still underdeveloped. Finally, we provide empirical results of the impact of SCIT on performance. By doing so, we contribute not only to the body of academic knowledge in this area, but also to supply chain and information technology practitioners.
References
David, R. J., & Han, S. K. 2004. A systematic assessment of the empirical support for transaction cost economics. Strategic management journal, 25(1), 39-58.
Hunter, J. E. & Schmidt, F. L., 2004. Method of meta-analysis. Newbury Park(CA): Sage.
Sheehan, H., 2014. The Journal of Business Logistics Newsletter 4(1).
Keywords
Supply chain management, Information technology, Information systems, Firm performance
Presentation Type and Release Option
Presentation (Open Access)
Start Date
4-24-2015 9:30 AM
End Date
4-24-2015 10:30 AM
Recommended Citation
Harnowo, Akhadian S., "Does Supply Chain Information Technology Improve Firm Performance? A Meta-Analytic Evaluation" (2015). GS4 Georgia Southern Student Scholars Symposium. 7.
https://digitalcommons.georgiasouthern.edu/research_symposium/2015/2015/7
Does Supply Chain Information Technology Improve Firm Performance? A Meta-Analytic Evaluation
Room 2905 B
Background
Supply chain information technology (SCIT) has been widely adopted to allow firms to share information seamlessly and inexpensively. However, there is still skepticism about the benefits and returns of investing in SCIT (Sheehan 2014). Although many attempts have been made by scholars to explicate the benefits of SCIT, consensus as to the efficacy of SCIT in improving firm performance remains elusive.
Research Objective
The purpose of this paper is to conduct a meta-analysis to uncover generalities, better comprehend underdeveloped areas of research stream, and consolidate SCIT studies across bodies of literature.
Study Design
We will perform a meta-analysis of correlations as instructed by Hunter and Schmidt (2004). A meta-analysis of correlations provides insight of a phenomenon by finding the actual correlations between variables of interests and can correct statistical artifacts, such as sampling and measurement errors.
Data sources
We followed a modified version of widely utilized sample selection from David and Han (2004). We include not only researches from well-respected journals in relevant domain, but also possible relevant studies published in other journals or even unpublished research such as doctoral dissertation.
Principal Findings
We found that SCIT is a complex artifact with many characteristics and each characteristic can be used for different purposes. Consequently, these differing purposes and uses can lead to diverse outcomes, even when the underlying technologies are Similar.
Implications
Our study consolidates and integrates studies of SCIT across fields of literature. Second, we identify areas of study that are still underdeveloped. Finally, we provide empirical results of the impact of SCIT on performance. By doing so, we contribute not only to the body of academic knowledge in this area, but also to supply chain and information technology practitioners.
References
David, R. J., & Han, S. K. 2004. A systematic assessment of the empirical support for transaction cost economics. Strategic management journal, 25(1), 39-58.
Hunter, J. E. & Schmidt, F. L., 2004. Method of meta-analysis. Newbury Park(CA): Sage.
Sheehan, H., 2014. The Journal of Business Logistics Newsletter 4(1).
