IDEAS home Printed from https://ideas.repec.org/a/spr/ijsaem/v15y2024i9d10.1007_s13198-024-02432-6.html
   My bibliography  Save this article

Implementation of industry 4.0 in construction industry: a review

Author

Listed:
  • Ankur Tayal

    (Delhi Technological University (DTU))

  • Saurabh Agrawal

    (Delhi Technological University (DTU))

  • Rajan Yadav

    (Delhi Technological University (DTU))

Abstract

The article aims to study the literature on Industry-4.0 technologies and “Triple Bottom Line” (social, economical and environmental) parameters in the construction industry. The study focuses on analyzing the gaps in various researches conducted till now and suggests possible information that can be used to improve business processes. Preferred Reporting Items for Systematic Reviews and Meta-Analysis Method is adopted to select the articles. One hundred fifty-six published articles from 2015 to 2023 are examined to understand various theoretical frameworks. Content-based analysis is used for the categorization of five significant categories: (1) Industry 4.0 Enablers; (2) Barriers in Industry 4.0 Adoption; (3) Challenges in Construction Industry; (4) Opportunities for the principle Industry 4.0 Technology; (5) Impact of “Industry 4.0” Technologies. Based on categorization, rewards or incentives, management involvement, employers training, Building Information Modeling, Big Data, Cloud computing, etc., are major enablers of Industry 4.0 in the construction industry. Implementation cost, lack of knowledge, and poor long-term planning are analyzed as common barriers. Numerous challenges and opportunities related to Industry 4.0 technologies have been identified. Moreover, the Triple Bottom Line impacts of Industry 4.0 technologies, such as waste management, cost reduction, health and security, and resource planning, are also analyzed. The study also revealed that there are numerous research gaps in the integrated application of technology and sustainability because of information inadequacy and unawareness of the stakeholders. The study’s findings will help uncover detailed information in a systematical manner for developing an integrated sustainable business environment in the construction industry. The study considering the specific period and inclusion/exclusion criteria can possibly develop limitations of missing a few relevant articles and information in this context.

Suggested Citation

  • Ankur Tayal & Saurabh Agrawal & Rajan Yadav, 2024. "Implementation of industry 4.0 in construction industry: a review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 15(9), pages 4163-4182, September.
    • Handle: RePEc:spr:ijsaem:v:15:y:2024:i:9:d:10.1007_s13198-024-02432-6
    DOI: 10.1007/s13198-024-02432-6
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s13198-024-02432-6
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s13198-024-02432-6?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. JongRoul Woo & Jungwoo Shin & Seung-Hoon Yoo & Sung-Yoon Huh, 2023. "Reducing Environmental Impact of Coal-Fired Power Plants by Building an Indoor Coal Storage: An Economic Analysis," Energies, MDPI, vol. 16(1), pages 1-14, January.
    2. Qin, Meng & Zhang, Xiaojing & Li, Yameng & Badarcea, Roxana Maria, 2023. "Blockchain market and green finance: The enablers of carbon neutrality in China," Energy Economics, Elsevier, vol. 118(C).
    3. Pankaj Goel & Raman Kumar & Harish Kumar Banga & Swapandeep Kaur & Rajesh Kumar & Danil Yurievich Pimenov & Khaled Giasin, 2022. "Deployment of Interpretive Structural Modeling in Barriers to Industry 4.0: A Case of Small and Medium Enterprises," JRFM, MDPI, vol. 15(4), pages 1-22, April.
    4. Raj, Alok & Dwivedi, Gourav & Sharma, Ankit & Lopes de Sousa Jabbour, Ana Beatriz & Rajak, Sonu, 2020. "Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective," International Journal of Production Economics, Elsevier, vol. 224(C).
    5. Schwab, Leila & Gold, Stefan & Reiner, Gerald, 2019. "Exploring financial sustainability of SMEs during periods of production growth: A simulation study," International Journal of Production Economics, Elsevier, vol. 212(C), pages 8-18.
    6. Sivarajah, Uthayasankar & Kamal, Muhammad Mustafa & Irani, Zahir & Weerakkody, Vishanth, 2017. "Critical analysis of Big Data challenges and analytical methods," Journal of Business Research, Elsevier, vol. 70(C), pages 263-286.
    7. Stéphanie Bouchard & Georges Abdulnour & Sébastien Gamache, 2022. "Agility and Industry 4.0 Implementation Strategy in a Quebec Manufacturing SME," Sustainability, MDPI, vol. 14(13), pages 1-25, June.
    8. Huzhou Zhu & Bin Sang & Chunyuan Zhang & Lin Guo, 2023. "Have Industrial Robots Improved Pollution Reduction? A Theoretical Approach and Empirical Analysis," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 31(4), pages 153-172, July.
    9. Hengky Latan & Charbel Jose Chiappetta Jabbour & Ana Beatriz Lopes de Sousa Jabbour, 2021. "Social Media as a Form of Virtual Whistleblowing: Empirical Evidence for Elements of the Diamond Model," Journal of Business Ethics, Springer, vol. 174(3), pages 529-548, December.
    10. Mani, Venkatesh & Gunasekaran, Angappa & Delgado, Catarina, 2018. "Supply chain social sustainability: Standard adoption practices in Portuguese manufacturing firms," International Journal of Production Economics, Elsevier, vol. 198(C), pages 149-164.
    11. Rajput, Shubhangini & Singh, Surya Prakash, 2019. "Connecting circular economy and industry 4.0," International Journal of Information Management, Elsevier, vol. 49(C), pages 98-113.
    12. Julian Marius Müller & Daniel Kiel & Kai-Ingo Voigt, 2018. "What Drives the Implementation of Industry 4.0? The Role of Opportunities and Challenges in the Context of Sustainability," Sustainability, MDPI, vol. 10(1), pages 1-24, January.
    13. Kebir Mohammed Jemal & Marzhan Kabzhassarova & Ramazan Shaimkhanov & Dinara Dikhanbayeva & Ali Turkyilmaz & Serdar Durdyev & Ferhat Karaca, 2023. "Facilitating Circular Economy Strategies Using Digital Construction Tools: Framework Development," Sustainability, MDPI, vol. 15(1), pages 1-16, January.
    14. Andrew Rawson & Mario Brito, 2023. "A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis," Transport Reviews, Taylor & Francis Journals, vol. 43(1), pages 108-130, January.
    15. Irini Barbero & Yacine Rezgui & Ioan Petri, 2023. "A European-wide exploratory study to analyse the relationship between training and energy efficiency in the construction sector," Environment Systems and Decisions, Springer, vol. 43(3), pages 337-357, September.
    16. Bernardette Soust-Verdaguer & José Antonio Gutiérrez Moreno & Carmen Llatas, 2023. "Utilization of an Automatic Tool for Building Material Selection by Integrating Life Cycle Sustainability Assessment in the Early Design Stages in BIM," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    17. Liu, Yang & Zhu, Qinghua & Seuring, Stefan, 2017. "Linking capabilities to green operations strategies: The moderating role of corporate environmental proactivity," International Journal of Production Economics, Elsevier, vol. 187(C), pages 182-195.
    18. Guangbin Wang & Huan Liu & Heng Li & Xiaochun Luo & Jiaxi Liu, 2020. "A Building Project-Based Industrialized Construction Maturity Model Involving Organizational Enablers: A Multi-Case Study in China," Sustainability, MDPI, vol. 12(10), pages 1-35, May.
    19. Fatima Afzal & Benson Lim, 2022. "Organizational Factors Influencing the Sustainability Performance of Construction Organizations," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    20. Hengky Latan & Charbel Jose Chiappetta Jabbour & Ana Beatriz Lopes de Sousa Jabbour, 2019. "‘Whistleblowing Triangle’: Framework and Empirical Evidence," Journal of Business Ethics, Springer, vol. 160(1), pages 189-204, November.
    21. Tariq Al Amri & Katalin Puskas Khetani & Manuel Marey-Perez, 2021. "Towards Sustainable I4.0: Key Skill Areas for Project Managers in GCC Construction Industry," Sustainability, MDPI, vol. 13(15), pages 1-17, July.
    22. So-Won Choi & Eul-Bum Lee & Jong-Hyun Kim, 2021. "The Engineering Machine-Learning Automation Platform ( EMAP ): A Big-Data-Driven AI Tool for Contractors’ Sustainable Management Solutions for Plant Projects," Sustainability, MDPI, vol. 13(18), pages 1-33, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dwivedi, Ashish & Moktadir, Md. Abdul & Chiappetta Jabbour, Charbel José & de Carvalho, Daniel Estima, 2022. "Integrating the circular economy and industry 4.0 for sustainable development: Implications for responsible footwear production in a big data-driven world," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    2. Sumona Mukhuty & Arvind Upadhyay & Holly Rothwell, 2022. "Strategic sustainable development of Industry 4.0 through the lens of social responsibility: The role of human resource practices," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2068-2081, July.
    3. Peerally, Jahan Ara & Santiago, Fernando & De Fuentes, Claudia & Moghavvemi, Sedigheh, 2022. "Towards a firm-level technological capability framework to endorse and actualize the Fourth Industrial Revolution in developing countries," Research Policy, Elsevier, vol. 51(10).
    4. Eryarsoy, Enes & Kilic, Huseyin Selcuk & Zaim, Selim & Doszhanova, Marzhan, 2022. "Assessing IoT challenges in supply chain: A comparative study before and during- COVID-19 using interval valued neutrosophic analytical hierarchy process," Journal of Business Research, Elsevier, vol. 147(C), pages 108-123.
    5. Kazancoglu, Yigit & Sagnak, Muhittin & Mangla, Sachin Kumar & Sezer, Muruvvet Deniz & Pala, Melisa Ozbiltekin, 2021. "A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    6. Monrudee Theeraworawit & Suparak Suriyankietkaew & Philip Hallinger, 2022. "Sustainable Supply Chain Management in a Circular Economy: A Bibliometric Review," Sustainability, MDPI, vol. 14(15), pages 1-21, July.
    7. Rimalini Gadekar & Bijan Sarkar & Ashish Gadekar, 2022. "Key performance indicator based dynamic decision-making framework for sustainable Industry 4.0 implementation risks evaluation: reference to the Indian manufacturing industries," Annals of Operations Research, Springer, vol. 318(1), pages 189-249, November.
    8. Belhadi, Amine & Kamble, Sachin S. & Chiappetta Jabbour, Charbel Jose & Mani, Venkatesh & Khan, Syed Abdul Rehman & Touriki, Fatima Ezahra, 2022. "A self-assessment tool for evaluating the integration of circular economy and industry 4.0 principles in closed-loop supply chains," International Journal of Production Economics, Elsevier, vol. 245(C).
    9. Tabesh, Pooya & Mousavidin, Elham & Hasani, Sona, 2019. "Implementing big data strategies: A managerial perspective," Business Horizons, Elsevier, vol. 62(3), pages 347-358.
    10. Lin, Boqiang & Xu, Chongchong, 2024. "The effects of industrial robots on firm energy intensity: From the perspective of technological innovation and electrification," Technological Forecasting and Social Change, Elsevier, vol. 203(C).
    11. Ahmad Ibrahim Aljumah & Mohammed T. Nuseir & Md. Mahmudul Alam, 2021. "Traditional marketing analytics, big data analytics and big data system quality and the success of new product development," Post-Print hal-03538161, HAL.
    12. Md. Ahashan Habib & Md. Rezaul Karim & Marzia Dulal & Mohammad Shayekh Munir, 2022. "Impact of Institutional Pressure on Cleaner Production and Sustainable Firm Performance," Sustainability, MDPI, vol. 14(24), pages 1-25, December.
    13. Aaltonen, Aleksi Ville & Alaimo, Cristina & Kallinikos, Jannis, 2021. "The making of data commodities: data analytics as an embedded process," LSE Research Online Documents on Economics 110296, London School of Economics and Political Science, LSE Library.
    14. Anke Joubert & Matthias Murawski & Markus Bick, 2023. "Measuring the Big Data Readiness of Developing Countries – Index Development and its Application to Africa," Information Systems Frontiers, Springer, vol. 25(1), pages 327-350, February.
    15. Maria Polorecka & Jozef Kubas & Pavel Danihelka & Katarina Petrlova & Katarina Repkova Stofkova & Katarina Buganova, 2021. "Use of Software on Modeling Hazardous Substance Release as a Support Tool for Crisis Management," Sustainability, MDPI, vol. 13(1), pages 1-15, January.
    16. Abderahman Rejeb & Karim Rejeb & Suhaiza Zailani & Yasanur Kayikci & John G. Keogh, 2023. "Examining Knowledge Diffusion in the Circular Economy Domain: a Main Path Analysis," Circular Economy and Sustainability, Springer, vol. 3(1), pages 125-166, March.
    17. Wunhong Su & Liuzhen Zhang & Chao Ge & Shuai Chen, 2022. "Association between Internal Control and Sustainability: A Literature Review Based on the SOX Act Framework," Sustainability, MDPI, vol. 14(15), pages 1-30, August.
    18. Zhao, Qian & Wang, Lu & Stan, Sebastian-Emanuel & Mirza, Nawazish, 2024. "Can artificial intelligence help accelerate the transition to renewable energy?," Energy Economics, Elsevier, vol. 134(C).
    19. An-Jin Shie & You-Yu Dai & Ming-Xing Shen & Li Tian & Ming Yang & Wen-Wei Luo & Yenchun Jim Wu & Zhao-Hui Su, 2022. "Diamond Model of Green Commitment and Low-Carbon Travel Motivation, Constraint, and Intention," IJERPH, MDPI, vol. 19(14), pages 1-21, July.
    20. Rampersad, Giselle, 2020. "Robot will take your job: Innovation for an era of artificial intelligence," Journal of Business Research, Elsevier, vol. 116(C), pages 68-74.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:ijsaem:v:15:y:2024:i:9:d:10.1007_s13198-024-02432-6. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.