The technology for storing and using big data is evolving rapidly and those that can keep pace are likely to garner additional competitive advantages. One approach to uncovering existing practice in a manner that provides insights for building theory is the use of grounded theory. The current research employs qualitative research following a grounded theory approach to explore gap in understanding the relationship between big data (BD) and the supply chain (SC). In this study eight constructs emerged: Organizational and environmental factors, big data and supply chain analytics, alignment, data governance, big data capabilities, cost of quality, risk analysis and supply chain performance. The contribution of this research resulted in a new theoretical framework that provides researchers and practitioners with an ability to visualize the relationship between collection and use of BD and the SC. This framework provides a model for future researchers to test the relationships posited and continue to extend understanding about how BD can benefit SC practice. While it is anticipated that the proposed theoretical framework will evolve as a result of future examination and enhanced understating of the relationships shown the framework presented represents a critical first step for moving the literature and practice forward.
| Identifer | oai:union.ndltd.org:unt.edu/info:ark/67531/metadc1404511 |
| Date | 12 1900 |
| Creators | Baitalmal, Mohammad Hamza |
| Contributors | Prybutok, Victor, Ogden, Jeffrey, Randall, Wesley |
| Publisher | University of North Texas |
| Source Sets | University of North Texas |
| Language | English |
| Detected Language | English |
| Type | Thesis or Dissertation |
| Format | viii, 98 pages, Text |
| Rights | Public, Baitalmal, Mohammad Hamza, Copyright, Copyright is held by the author, unless otherwise noted. All rights Reserved. |
Page generated in 0.0016 seconds