Measurement for supply chain collaboration and supply chain performance of manufacturing companies
Supply chain management (SCM) has changed from a strategically decoupled to strategically coupled area of research, as such partners have to improve relationships with one another. Although success of a supply chain (SC) depends on the integration of people, technology, and information, collaboratio...
| _version_ | 1825929022681382912 |
|---|---|
| author | Singhry, Hassan Barau Abd Rahman, Azmawani Ng, Siew Imm |
| author_facet | Singhry, Hassan Barau Abd Rahman, Azmawani Ng, Siew Imm |
| author_sort | Singhry, Hassan Barau |
| collection | UPM |
| description | Supply chain management (SCM) has changed from a strategically decoupled to strategically coupled area of research, as such partners have to improve relationships with one another. Although success of a supply chain (SC) depends on the integration of people, technology, and information, collaboration remains critical to these capabilities and processes. Thus, the aim of this study is to model and measure the relationship between the trust-intertwined SC collaborative process and supply chain performance (SCP) of manufacturing companies. This study followed a post-positivism epistemology based on a crosssectional survey. Previous measurements of SC collaborative process were investigated, integrated, and tested among 286 top managers of manufacturing companies. These companies are members of the Manufacturers’ Association of Nigeria (MAN). Questionnaires were distributed through face-to-face methodology with aid from trained research assistants. Cluster and stratified random sampling were used to select the respondents. SPSS was used during the exploratory factor analysis while covariance structural equation modeling was used to confirm the study’s measurement and structural models. Both models had satisfied recommended threshold values. This study found a significant and statistical relationship between supply chain collaboration (SCC) and SCP. The data and findings of this study fit the social exchange theory (SET). Thus, this study has implications for theory testing in SCC as well as guidance on ways to pursue collaboration by managers of manufacturing companies. |
| first_indexed | 2024-03-06T08:50:49Z |
| format | Article |
| id | upm.eprints-41749 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:50:49Z |
| publishDate | 2015 |
| publisher | Faculty of Economics and Management, Universiti Putra Malaysia |
| record_format | dspace |
| spelling | upm.eprints-417492016-02-02T05:22:37Z http://psasir.upm.edu.my/id/eprint/41749/ Measurement for supply chain collaboration and supply chain performance of manufacturing companies Singhry, Hassan Barau Abd Rahman, Azmawani Ng, Siew Imm Supply chain management (SCM) has changed from a strategically decoupled to strategically coupled area of research, as such partners have to improve relationships with one another. Although success of a supply chain (SC) depends on the integration of people, technology, and information, collaboration remains critical to these capabilities and processes. Thus, the aim of this study is to model and measure the relationship between the trust-intertwined SC collaborative process and supply chain performance (SCP) of manufacturing companies. This study followed a post-positivism epistemology based on a crosssectional survey. Previous measurements of SC collaborative process were investigated, integrated, and tested among 286 top managers of manufacturing companies. These companies are members of the Manufacturers’ Association of Nigeria (MAN). Questionnaires were distributed through face-to-face methodology with aid from trained research assistants. Cluster and stratified random sampling were used to select the respondents. SPSS was used during the exploratory factor analysis while covariance structural equation modeling was used to confirm the study’s measurement and structural models. Both models had satisfied recommended threshold values. This study found a significant and statistical relationship between supply chain collaboration (SCC) and SCP. The data and findings of this study fit the social exchange theory (SET). Thus, this study has implications for theory testing in SCC as well as guidance on ways to pursue collaboration by managers of manufacturing companies. Faculty of Economics and Management, Universiti Putra Malaysia 2015-12 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/41749/1/Measurement%20for%20Supply%20Chain%20Collaboration%20and%20Supply%20Chain%20Performance%20of%20Manufacturing%20Companies.pdf Singhry, Hassan Barau and Abd Rahman, Azmawani and Ng, Siew Imm (2015) Measurement for supply chain collaboration and supply chain performance of manufacturing companies. International Journal of Economics and Management, 9 (spec. Dec.). pp. 1-22. ISSN 1823-836X http://econ.upm.edu.my/ijem/vol9noS-DEC/1.%20Measurement%20for%20Supply%20Chain%20Collaboration%20and%20Supply%20Chain%20Performance%20of%20Manufacturing%20Companies.pdf |
| spellingShingle | Singhry, Hassan Barau Abd Rahman, Azmawani Ng, Siew Imm Measurement for supply chain collaboration and supply chain performance of manufacturing companies |
| title | Measurement for supply chain collaboration and supply chain performance of manufacturing companies |
| title_full | Measurement for supply chain collaboration and supply chain performance of manufacturing companies |
| title_fullStr | Measurement for supply chain collaboration and supply chain performance of manufacturing companies |
| title_full_unstemmed | Measurement for supply chain collaboration and supply chain performance of manufacturing companies |
| title_short | Measurement for supply chain collaboration and supply chain performance of manufacturing companies |
| title_sort | measurement for supply chain collaboration and supply chain performance of manufacturing companies |
| url | http://psasir.upm.edu.my/id/eprint/41749/1/Measurement%20for%20Supply%20Chain%20Collaboration%20and%20Supply%20Chain%20Performance%20of%20Manufacturing%20Companies.pdf |
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