Demand chain collaboration and operational performance: Role of IT analytic capability and environmental uncertainty
Journal of Business and Industrial Marketing, ISSN: 0885-8624, Vol: 26, Issue: 2, Page: 81-91
2011
- 59Citations
- 3Usage
- 156Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations59
- Citation Indexes59
- 59
- CrossRef41
- Usage3
- Abstract Views3
- Captures156
- Readers156
- 156
Article Description
Purpose: The purpose of this research is to enhance the extant understanding of the IT-collaboration relationship. The study aims to test the robustness of the relationships among the concepts of IT analytic capability, demand chain collaboration and operational performance besides investigating the interaction effects of environmental uncertainty variables on the IT-collaboration relationship. Design/methodology/approach: Data for testing the hypothesized relationships in the conceptual model were collected through a survey of managers in manufacturing firms from the Council of Supply Chain Management Professionals (CSCMP) membership directory. The survey sample included 152 responses accounting for a response rate of 28 percent. Findings: Findings suggest that while IT analytic capability associates positively with collaboration, the technological turbulence dimension of uncertainty enhances the above relationship. Market turbulence, however, was not found to have a significant moderating impact on the IT analytic capability-collaboration relationship. The findings further support the link between collaboration and better operational performance. Research limitations/implications: While the study focused on a specific IT capability - IT analytic capability - firms utilize other IT resources such as database systems and e-commerce. These IT capabilities need to be investigated as well since they could bring different functionalities and influences. Besides, a richer understanding of the interacting variables could be obtained by incorporating a broadened set of contextual variables. Practical implications: Deploying advanced IT analytic capabilities in firms facilitates collaborative endeavors among supply chain partners and ultimately results in operational improvements. However, managers should also understand that the IT capability-collaboration link is contingent upon technological turbulence: firms operating in highly uncertain technological environments can best leverage IT analytic capabilities to improve collaboration and enhance performance. Originality/value: Much of the evidence on the performance impact of specific IT capabilities in supply chains is still anecdotal and extant empirical research is insufficient to suggest an unambiguous performance linkage. A critical shortcoming in extant IT and SCM literature is research on the interaction effects of environmental uncertainty variables on the IT-collaboration relationship. The study addresses these issues. © Emerald Group Publishing Limited.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=78751620260&origin=inward; http://dx.doi.org/10.1108/08858621111112267; https://www.emerald.com/insight/content/doi/10.1108/08858621111112267/full/html; https://scholarworks.uni.edu/facpub/1969; https://scholarworks.uni.edu/cgi/viewcontent.cgi?article=2970&context=facpub
Emerald
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know