Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/88330
Title: | A note on big data analytics capability development in supply chain | Authors: | Jha, AK Agi, MAN Ngai, EWT |
Issue Date: | 2020 | Source: | Decision support systems, 2020, 113382 | Abstract: | Big data analytics (BDA) are gaining importance in all aspects of business management. This is driven by both the presence of large-scale data and management's desire to root decisions in data. Extant research demonstrates that supply chain and operations management functions are among the biggest sources and users of data in the company. Therefore, their decision-making processes would benefit from increased use of BDA technologies. However, there is still a lack of understanding of what determines a company's ability to build BDA capability to gain a competitive advantage. In this study, we attempt to answer this fundamental question by identifying the factors that assist a company in or inhibit it from building its BDA capability and maximizing its gains through BDA technologies. We base our findings on a qualitative analysis of data collected from field visits, interviews with senior management, and secondary resources. We find that, in addition to technical capacity, competitive landscape and intra-firm power dynamics play an important role in building BDA capability and using BDA technologies. | Keywords: | Analytics Big data Capability development Qualitative study Supply chain |
Publisher: | Elsevier | Journal: | Decision support systems | ISSN: | 0167-9236 | EISSN: | 1873-5797 | DOI: | 10.1016/j.dss.2020.113382 | Rights: | © 2020 The Author(s). Published by Elsevier BV.This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/). The following publication Jha, A. K., Agi, M. A., & Ngai, E. W. (2020). A note on big data analytics capability development in supply chain. Decision Support Systems, 113382, is available at https://doi.org/10.1016/j.dss.2020.113382 |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Jha_note_big_data.pdf | 728.6 kB | Adobe PDF | View/Open |
Page views
76
Last Week
0
0
Last month
Citations as of Oct 13, 2024
Downloads
63
Citations as of Oct 13, 2024
SCOPUSTM
Citations
108
Citations as of Oct 17, 2024
WEB OF SCIENCETM
Citations
82
Citations as of Oct 17, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.