Big data analytics in the procurement process: Organizational alignment and the behavior of procurement professionals in Bhutanese procuring agencies
Document Type
Journal Article
Publication Title
Journal of Data, Information and Management
Publisher
Springer
School
School of Business and Law
RAS ID
62450
Funders
Jigme Namgyel Engineering College
Abstract
The study focuses on organizational alignment and procurement officials' behaviour in big data programs across Bhutanese procuring agencies. Despite a digitalized procurement system, there is little evidence of integrating big data methods into real-time procurement decisions in the country. A mixed-method study approach has been employed to investigate the use of big data. This study used stratified and purposive sampling techniques to determine 41 sample sizes. The 41 respondents (32 males and 9 females), the procurement professionals of government agencies were involved in a three-month long survey. Thematic analysis and descriptive statistics, such as the Relative Importance Index(RII), were adopted to analyze the data, with the Toulmin Argument Model used for literature reviews. The results were presented in various figures and tables. Around 70% of the respondents believe that big data analytics can be used to generate procurement reports. The highest RII score of 0.81 is with the significance of data accessibility and understanding for improving the procurement decision-making process. Likewise, most respondents believe in the importance of big data to assess new opportunities for better alignment across the agencies(0.80). Additionally, the RII score for individuals' reactions to complex data analysis was also high (0.80), indicating their belief that it could benefit procuring agencies. Procurement experts are likely to view big data as a useful instrument for improving procurement procedures and enhancing their value. The accountability and transparency of the procuring agency may increase if big data analytics is being implemented. To fully realize the potential benefits of big data in procurement, it is recommended to establish realistic and attainable initiatives to promote procurement technology in various government agencies in Bhutan.
DOI
10.1007/s42488-023-00109-6
Access Rights
subscription content
Comments
Wangchuk, P., Jie, F., & Wangdi, K. (2023). Big data analytics in the procurement process: Organizational alignment and the behavior of procurement professionals in Bhutanese procuring agencies. Journal of Data, Information and Management. Advance online publication. https://doi.org/10.1007/s42488-023-00109-6