Abstract

During the digital transformation of construction projects, the significant volume of project data raise a multitude of data responsibility issues. Project stakeholders, often motivated by financial interests and other considerations, frequently engage in data fraud, namely the alienation of project digital responsibility (APDR), which ultimately hinders the benefits released by the digital transformation of projects. However, the causes of APDR are still unclear. This study aims to bridge this knowledge gap by empirically investigating the factors influencing APDR and delineating their pathways. A model outlining the mechanism of APDR formation, rooted in fraud risk factor theory (FRFT) and information asymmetry theory (IAT), is proposed. To collect data from 276 Chinese construction project practitioners, a questionnaire was meticulously designed. Confirmatory factor analysis (CFA) was subsequently applied to assess the validity of the proposed model. Finally, the proposed model consisting of six variables was examined using structural equation modeling (SEM). The results showed that opportunity (OPP), motivation (MOT), and information asymmetry (INF) had a positive effect on APDR, while exposure probability (EXP), penalty strength (PEN), and ethics (ETH) had a negative effect on APDR. Through revealing the formation mechanism of APDR, the findings are beneficial for understanding why stakeholders adopt APDR at the risk of being penalized. This study aims at deepening the systematic understanding of APDR and enriches the relevant theories on project digital responsibility (PDR). Such knowledge would also contribute to project managers proposing effective interventions to inhibit APDR and promote PDR.

Full Text
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