How Does the Alienation of Project Digital Responsibility Form? Perspectives from Fraud Risk Factor Theory and Information Asymmetry Theory

Author:

Gu Jianglin1,Guo Feng1ORCID

Affiliation:

1. School of Civil Engineering, Central South University, Changsha 410018, China

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.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Building and Construction,Civil and Structural Engineering,Architecture

Reference66 articles.

1. Liviniuk, T. (2023, June 12). Construction’s Dark Data Problem. Available online: https://www.trilliumgroup.io/post/constructions-dark-data-problem.

2. Corporate Digital Responsibility in Construction Engineering: Ethical Principles in Dealing with Digitization and AI;IJRLEDM,2020

3. Tensions in Governing Megaprojects: How Different Types of Ties Shape Project Relationship Quality?;Wang;Int. J. Proj. Manag.,2021

4. Gavejian, J.C., and Lazzarotti, J.J. (2023, June 12). Construction Industry: Data Security Considerations. Available online: https://www.jacksonlewis.com/publication/construction-industry-data-security-considerations.

5. Revisiting the Relationship Between Contract Governance and Contractors’ Opportunistic Behavior in Construction Projects;Wang;IEEE Trans. Eng. Manag.,2022

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3