Identification and severity assessment of challenges in the adoption of industry 4.0 in Indian construction industry

被引:14
作者
Singh, Arpit [1 ]
Kumar, Vimal [2 ]
Verma, Pratima [3 ]
Kandasamy, Jayakrishna [4 ]
机构
[1] OP Jindal Global Univ, Dept Informat Syst & Analyt, Sonipat 131029, India
[2] Chaoyang Univ Technol, Dept Informat Management, Taichung 41349, Taiwan
[3] Indian Inst Management, Dept Strateg Management, Kozhikode 673570, India
[4] Vellore Inst Technol, Sch Mech Engn, Vellore 632014, Tamil Nadu, India
关键词
Industry; 4.0; Severity assessment; Ranking; Internet of things; Construction industry; Dominance-based rough set analysis; ROUGH SET APPROACH; CYBER-PHYSICAL SYSTEMS; LEAN PRODUCTION; SMART CITY; FUTURE; INNOVATION; OPPORTUNITIES; TECHNOLOGIES; INTERNET; SUPPORT;
D O I
10.1016/j.apmrv.2022.10.007
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The current exploratory study identifies the major challenges in the adoption of Industry 4.0 framework in the Indian construction industry and subsequently ranks the challenges on the basis of the severity. Based on the extant literature review and personal interaction with construction management, information technology (IT) professionals, and academicians, twenty-five challenges were identified. After validating the challenges, they were ranked from most severe to least severe using the multi-criteria decision-making (MCDM) method based on rough set theory that leans on the indiscernibility relation between the objects. The study indicates that huge initial investments and costs incurred to mobilize the internet of things (IoT) enabled framework in the construction firms are the major obstacles to the adoption of the Industry 4.0 methods. The recruitment of experts to train the employees and workers is seen as another big hurdle in the aforementioned objective. It is a challenge to educate and train them on sophisticated technology that requires a basic understanding of computer fundamentals and IT-related concepts that is found lacking in the workers employed at the lower levels. Proper maintenance of sensitive tools and equipment such as IoT devices is a challenging task due to the nature of the activities taking place at construction sites. The multi-criteria method of ranking based on Dominance-based Rough Set Analysis (DRSA) has never been attempted to rank the challenges and assign a severity score. The study adds novelty to the existing literature in the domain of multi-criteria ranking by including a tool that is new to this area of research. & COPY; 2022 The Authors. Published by Elsevier B.V. on behalf of College of Management, National Cheng Kung University. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
引用
收藏
页码:299 / 315
页数:17
相关论文
共 104 条
  • [1] Impeding challenges on industry 4.0 in circular economy : Palm oil industry in Malaysia
    Abdul-Hamid, Asma-Qamaliah
    Ali, Mohd Helmi
    Tseng, Ming-Lang
    Lan, Shulin
    Kumar, Mukesh
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2020, 123 (123)
  • [2] The role of evaluation in SMMEs' strategic decision-making on new technology adoption
    Afolayan, Ayodeji Olanrewaju
    de la Harpe, Andre Charles
    [J]. TECHNOLOGY ANALYSIS & STRATEGIC MANAGEMENT, 2020, 32 (06) : 697 - 710
  • [3] Integrated exploratory factor analysis and Data Envelopment Analysis to evaluate balanced ambidexterity fostering innovation in manufacturing SMEs
    Ahmadi, Meghdad
    Osman, Mohd Hassan Mohd
    Aghdam, Mohammad Molani
    [J]. ASIA PACIFIC MANAGEMENT REVIEW, 2020, 25 (03) : 142 - 155
  • [4] Cyber-physical systems integration of building information models and the physical construction
    Akanmu, Abiola
    Anumba, Chimay J.
    [J]. ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT, 2015, 22 (05) : 516 - 535
  • [5] Effect of automation on unemployment: The case of Southern Africa
    Anakpo, Godfred
    Kollamparambil, Umakrishnan
    [J]. DEVELOPMENT SOUTHERN AFRICA, 2022, 39 (04) : 516 - 527
  • [6] [Anonymous], 2019, FORBES
  • [7] [Anonymous], 2019, Financial Express
  • [8] A hybrid modeling approach for predicting the educational use of mobile cloud computing services in higher education
    Arpaci, Ibrahim
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2019, 90 : 181 - 187
  • [9] ASME, 2019, 6 paths to the automated construction site
  • [10] Industry 4.0 adoption and 10R advance manufacturing capabilities for sustainable development
    Bag, Surajit
    Gupta, Shivam
    Kumar, Sameer
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2021, 231