Knowledge visualisation for construction procurement decision-making: a process innovation. Issue 4 (25th June 2021)

• Record Type: Journal Article
• Authors: Zhao, Nan; Ying, Fei J.; Tookey, John
• Is Part Of: Management decision. Volume 60:Issue 4(2022)
• Page Start: 1039
• Page End: 1055
• Publication Date: 2021-06-25
• Subjects: Innovative process decision-making -- Knowledge visualisation -- Dynamic dashboards -- Collaborative decisions; Management -- Periodicals; 658.403
• DOI: 10.1108/MD-01-2021-0051
• Languages: English
• ISSNs: 0025-1747

Abstract

Abstract : Purpose: In the construction sector, the knowledge-based process outgrows its emphasis on technological aspects. Yet, there is a lack of applied studies showing how a procurement system (PS) could be selected in the digital age. In particular, there is a radical need to establish an innovative process to visualise novel PS decision. Therefore, this paper aims to present a knowledge visualised framework for aiding construction PS decision-making. Design/methodology/approach: This paper describes the construction of process innovation. The framework (process) is supported by four influential decision supporting methods (mean utility values, analytic hierarchy process, fuzzy set theory and Delphi method) and computer programming (Matlab). Findings: There are four stages of this framework: (1) uniform rating for decision alternatives; (2) group decision for determining the decision attribute; (3) determining the final choice; (4) reporting the cognitive computing process. Supported by individual and groups decision dynamics, this framework emphasises how the dashboard aided innovative approach enables the induction of understanding, cognitive computing for decision-making and how the information would precisely be represented, which are vital requirements of modern construction. Originality/value: The contribution of this paper presents two leverage points that support the modern PS decision. Firstly, this paper provides a holistic view of the decision supporting methods on the basis of how a suitable PS would be systematically sought. Based on the existing studies, this paper upgrades into a visualised knowledge decision supporting process. It helps the participants understand and improve their cognitive learning. Secondly, this framework allows the participants to have a view of the individual and group decisions. It sheds light on the development of the collaborative decision-making process.