Abstract
Purpose: This study aims to understand to what extent Supply Chain (SC) collaboration and SC integration affect Firm Performance. Firm Performance is operationalised as being formed of: Financial, Market, Operations and Company Performance. Additionally, the moderating role of Information Technology resources and capabilities is examined.
Design/Methodology/Approach: This study uses meta-analysis as a useful statistical technique to analyse several strands of literature. With a sample of 186 studies, this methodology is useful to unveil the more general effects of previous studies. Meta-analysis is suitable for mature topics, such as SC integration, SC collaboration and Firm Performance, which have been investigated for a few decades.
Findings: The study finds that SC collaboration is significantly and positively related to Firm performance. Additionally, SC collaboration effects on performance appear to be higher than those of SC integration on performance. The moderating effects of IT resources and capabilities are also found to be positive and significant.
Research limitations/implications: The main limitation of the study is that although it is generalisable, its wide encompassing nature meant that there are sometimes narratives that have been lost in terms of providing explanations for the findings. Such, in-depth rich data could be achieved via other methodologies, such as case-based research.
Practical implications: The implications of the study for practice include helping managers in focusing their efforts on those types of SC integration or SC collaboration which will provide them with more chances of success in terms of performance.
Originality/value: No previous study had examined both the r and the beta values for the constructs of SC collaboration and SC integration on firm performance. The novelty of the paper is methodological, so whilst the constructs have been analysed extensively with surveys previously, it is the first time these are pull together into a single study.
Design/Methodology/Approach: This study uses meta-analysis as a useful statistical technique to analyse several strands of literature. With a sample of 186 studies, this methodology is useful to unveil the more general effects of previous studies. Meta-analysis is suitable for mature topics, such as SC integration, SC collaboration and Firm Performance, which have been investigated for a few decades.
Findings: The study finds that SC collaboration is significantly and positively related to Firm performance. Additionally, SC collaboration effects on performance appear to be higher than those of SC integration on performance. The moderating effects of IT resources and capabilities are also found to be positive and significant.
Research limitations/implications: The main limitation of the study is that although it is generalisable, its wide encompassing nature meant that there are sometimes narratives that have been lost in terms of providing explanations for the findings. Such, in-depth rich data could be achieved via other methodologies, such as case-based research.
Practical implications: The implications of the study for practice include helping managers in focusing their efforts on those types of SC integration or SC collaboration which will provide them with more chances of success in terms of performance.
Originality/value: No previous study had examined both the r and the beta values for the constructs of SC collaboration and SC integration on firm performance. The novelty of the paper is methodological, so whilst the constructs have been analysed extensively with surveys previously, it is the first time these are pull together into a single study.
| Original language | English |
|---|---|
| Pages | 1 |
| Number of pages | 1 |
| Publication status | Accepted/In press - 15 Jul 2018 |
| Event | Decision Sciences Institute 2018 - Hilton Hotel, Chicago, United States Duration: 17 Nov 2018 → 19 Nov 2018 |
Conference
| Conference | Decision Sciences Institute 2018 |
|---|---|
| Country/Territory | United States |
| City | Chicago |
| Period | 17/11/18 → 19/11/18 |