Relationship of Big Data-Driven Supply Chain Capabilities and Competitive Advantages

Umol Syamsyul Rakiman, Eng Yen Er and Zuraidah Raja Rasi
Additional contact information
Umol Syamsyul Rakiman: Department of Business Management, Universiti Teknologi Mara, 32610 Seri Iskandar, Perak, Malaysia
Eng Yen Er: Department of Production and Operation Management, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia
Zuraidah Raja Rasi: Department of Production and Operation Management, Faculty of Technology Management and Business, Universiti Tun Hussein Onn Malaysia, 86400 Batu Pahat, Johor, Malaysia

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 8, 4125-4140

Abstract: As technology in supply chain advanced, a large amount of big data has been generated and companies employ big data can gain competitive advantages through their supply chain capabilities. However, companies are lack of knowledge regarding big data and its management methods in the early phase of big data adoption. The objectives of this research are to identify the relationship of big data-driven supply chain towards supply chain capabilities and the relationship of supply chain capabilities towards competitive advantages. This research surveys the managers of manufacturing companies in Selangor. By using convenience sampling techniques, 162 online questionnaires were distributed. A total of 123 questionnaires were collected. The 5-point likert scale is adopted to evaluate the agreement level and descriptive analysis employed in the research. This research also uses the quantitative method to collect and analyse the data. IBM Statistical Package for Social Sciences (SPSS) software is adopted to analyse the data. The findings indicated that big data-driven supply chain have a positive and significant relationship with supply chain capabilities. Moreover, supply chain capabilities also have a positive and significant relationship with competitive advantages. All hypotheses in this research are significant and accepted. Therefore, manufacturing companies can find the best methods to facilitate competitive advantages by using big data-driven supply chain capabilities.

Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.rsisinternational.org/journals/ijriss/ ... ssue-8/4125-4140.pdf (application/pdf)
https://rsisinternational.org/journals/ijriss/arti ... petitive-advantages/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bcp:journl:v:8:y:2024:i:8:p:4125-4140

Access Statistics for this article

International Journal of Research and Innovation in Social Science is currently edited by Dr. Nidhi Malhan

More articles in International Journal of Research and Innovation in Social Science from International Journal of Research and Innovation in Social Science (IJRISS)
Bibliographic data for series maintained by Dr. Pawan Verma ().