IDEAS home Printed from https://ideas.repec.org/a/spr/svcbiz/v17y2023i1d10.1007_s11628-022-00507-7.html
   My bibliography  Save this article

Applying Industry 4.0 technologies for the sustainability of small service enterprises

Author

Listed:
  • Darshan Pandya

    (Indian Institute of Management Raipur)

  • Gopal Kumar

    (Indian Institute of Management Raipur)

Abstract

Despite the potential of Industry 4.0 (I4.0) to make micro, small and medium enterprises (MSMEs) sustainable, the managers of service MSMEs find it tough to implement it in their firms. Drawing on the TAM and TAM2, this paper identifies I4.0 technologies (I4T) that help improve the sustainability in service MSMEs in the emerging economy of India. Data from different service MSMEs were collected to assess the importance of I4T. Artificial Intelligence, Big Data Analytics, and Internet of Things emerge as the most important I4T for sustainability. Several managerial implications along with theoretical contributions, limitations, and future research have been discussed.

Suggested Citation

  • Darshan Pandya & Gopal Kumar, 2023. "Applying Industry 4.0 technologies for the sustainability of small service enterprises," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 37-59, March.
    • Handle: RePEc:spr:svcbiz:v:17:y:2023:i:1:d:10.1007_s11628-022-00507-7
    DOI: 10.1007/s11628-022-00507-7
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11628-022-00507-7
    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/s11628-022-00507-7?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. Chen, Chen-Tung & Lin, Ching-Torng & Huang, Sue-Fn, 2006. "A fuzzy approach for supplier evaluation and selection in supply chain management," International Journal of Production Economics, Elsevier, vol. 102(2), pages 289-301, August.
    2. Hooshang Beheshti & Esmail Salehi-Sangari, 2007. "The benefits of e-business adoption: an empirical study of Swedish SMEs," Service Business, Springer;Pan-Pacific Business Association, vol. 1(3), pages 233-245, September.
    3. Pernille Eskerod & Svend Hollensen & Manuel Francisco Morales-Contreras & Jesús Arteaga-Ortiz, 2019. "Drivers for Pursuing Sustainability through IoT Technology within High-End Hotels—An Exploratory Study," Sustainability, MDPI, vol. 11(19), pages 1-21, September.
    4. Jin Sung Rha & Hong-Hee Lee, 2022. "Research trends in digital transformation in the service sector: a review based on network text analysis," Service Business, Springer;Pan-Pacific Business Association, vol. 16(1), pages 77-98, March.
    5. Pasquale Del Vecchio & Gioconda Mele & Valentina Ndou & Giustina Secundo, 2018. "Open Innovation and Social Big Data for Sustainability: Evidence from the Tourism Industry," Sustainability, MDPI, vol. 10(9), pages 1-15, September.
    6. Zélia Serrasqueiro & Manuel Armada & Paulo Nunes, 2011. "Pecking Order Theory versus Trade-Off Theory: are service SMEs’ capital structure decisions different?," Service Business, Springer;Pan-Pacific Business Association, vol. 5(4), pages 381-409, December.
    7. Anna Lejpras, 2019. "Determinants of export performance: differences between service and manufacturing SMEs," Service Business, Springer;Pan-Pacific Business Association, vol. 13(1), pages 171-198, March.
    8. Alexandre Moeuf & Samir Lamouri & Robert Pellerin & Simon Tamayo-Giraldo & Estefania Tobon-Valencia & Romain Eburdy, 2020. "Identification of critical success factors, risks and opportunities of Industry 4.0 in SMEs," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1384-1400, March.
    9. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    10. DonHee Lee, 2019. "Effects of key value co-creation elements in the healthcare system: focusing on technology applications," Service Business, Springer;Pan-Pacific Business Association, vol. 13(2), pages 389-417, June.
    11. Fahimeh Aliakbari Nouri & Mohsen Shafiei Nikabadi & Laya Olfat, 2019. "Sustainable service supply chain practices (SSSCPs): a framework development," International Journal of Productivity and Performance Management, Emerald Group Publishing Limited, vol. 69(4), pages 813-833, July.
    12. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    13. Carlos Flavián & Luis V. Casaló, 2021. "Artificial intelligence in services: current trends, benefits and challenges," The Service Industries Journal, Taylor & Francis Journals, vol. 41(13-14), pages 853-859, October.
    14. Francisco Liébana-Cabanillas & Francisco Muñoz-Leiva & J. Sánchez-Fernández, 2018. "A global approach to the analysis of user behavior in mobile payment systems in the new electronic environment," Service Business, Springer;Pan-Pacific Business Association, vol. 12(1), pages 25-64, March.
    15. Sang M. Lee & DonHee Lee, 2020. "“Untact”: a new customer service strategy in the digital age," Service Business, Springer;Pan-Pacific Business Association, vol. 14(1), pages 1-22, March.
    16. Norman Dalkey & Olaf Helmer, 1963. "An Experimental Application of the DELPHI Method to the Use of Experts," Management Science, INFORMS, vol. 9(3), pages 458-467, April.
    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. Mark Anthony Camilleri & Ciro Troise, 2023. "Live support by chatbots with artificial intelligence: A future research agenda," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 61-80, March.
    2. K Akdim & Luis V. Casaló, 2023. "Perceived value of AI-based recommendations service: the case of voice assistants," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 81-112, March.
    3. Marjan Shamsi & Tatiana Iakovleva & Espen Olsen & Richard P. Bagozzi, 2021. "Employees’ Work-Related Well-Being during COVID-19 Pandemic: An Integrated Perspective of Technology Acceptance Model and JD-R Theory," IJERPH, MDPI, vol. 18(22), pages 1-22, November.
    4. Philippe Cohard, 2020. "Information Systems Values: A Study of the Intranet in Three French Higher Education Institutions," Post-Print hal-02987225, HAL.
    5. Casaló, Luis V. & Flavián, Carlos & Guinalíu, Miguel, 2010. "Determinants of the intention to participate in firm-hosted online travel communities and effects on consumer behavioral intentions," Tourism Management, Elsevier, vol. 31(6), pages 898-911.
    6. Dahlberg, Tomi & Öörni, Anssi, 2006. "Finnish consumers' expectations on developments and changes in payment habits: survey in connection with the research project "Finnish payment habits 2010"," Bank of Finland Research Discussion Papers 32/2006, Bank of Finland.
    7. Melih Engin & Fatih Gürses, 2019. "Adoption of Hospital Information Systems in Public Hospitals in Turkey: An Analysis with the Unified Theory of Acceptance and Use of Technology Model," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-19, October.
    8. Morosan, Cristian, 2016. "An empirical examination of U.S. travelers’ intentions to use biometric e-gates in airports," Journal of Air Transport Management, Elsevier, vol. 55(C), pages 120-128.
    9. Tsung Teng Chen, 2012. "The development and empirical study of a literature review aiding system," Scientometrics, Springer;Akadémiai Kiadó, vol. 92(1), pages 105-116, July.
    10. Abdesamad Zouine & Pierre Fenies, 2014. "The Critical Success Factors Of The ERP System Project: A Meta-Analysis Methodology," Post-Print hal-01419785, HAL.
    11. Debora Bettiga & Lucio Lamberti & Emanuele Lettieri, 2020. "Individuals’ adoption of smart technologies for preventive health care: a structural equation modeling approach," Health Care Management Science, Springer, vol. 23(2), pages 203-214, June.
    12. Chen-Yuan Chen & Bih-Yaw Shih & Shih-Hsien Yu, 2012. "Disaster prevention and reduction for exploring teachers’ technology acceptance using a virtual reality system and partial least squares techniques," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 62(3), pages 1217-1231, July.
    13. Paul Juinn Bing Tan, 2013. "Applying the UTAUT to Understand Factors Affecting the Use of English E-Learning Websites in Taiwan," SAGE Open, , vol. 3(4), pages 21582440135, October.
    14. Hamed Taherdoost, 2019. "Importance of Technology Acceptance Assessment for Successful Implementation and Development of New Technologies," Post-Print hal-02557395, HAL.
    15. Sebastian Molinillo & Francisco Rejón-Guardia & Rafael Anaya-Sánchez, 2023. "Exploring the antecedents of customers’ willingness to use service robots in restaurants," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 167-193, March.
    16. Mäntymäki, Matti & Salo, Jari, 2013. "Purchasing behavior in social virtual worlds: An examination of Habbo Hotel," International Journal of Information Management, Elsevier, vol. 33(2), pages 282-290.
    17. Netsanet Haile & Jörn Altmann, 2016. "Structural analysis of value creation in software service platforms," Electronic Markets, Springer;IIM University of St. Gallen, vol. 26(2), pages 129-142, May.
    18. Sujeet Kumar Sharma, 2019. "Integrating cognitive antecedents into TAM to explain mobile banking behavioral intention: A SEM-neural network modeling," Information Systems Frontiers, Springer, vol. 21(4), pages 815-827, August.
    19. Cristopher Siegfried Kopplin, 2021. "Two heads are better than one: matchmaking tools in coworking spaces," Review of Managerial Science, Springer, vol. 15(4), pages 1045-1069, May.
    20. Chatterjee, Sheshadri & Chaudhuri, Ranjan & Vrontis, Demetris & Thrassou, Alkis & Ghosh, Soumya Kanti, 2021. "Adoption of artificial intelligence-integrated CRM systems in agile organizations in India," Technological Forecasting and Social Change, Elsevier, vol. 168(C).

    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:svcbiz:v:17:y:2023:i:1:d:10.1007_s11628-022-00507-7. 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.