IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v72y2023ics0160791x22003062.html
   My bibliography  Save this article

Multi-actor perspectives on human robotic collaboration implementation in the heavy automotive manufacturing industry - A Swedish case study

Author

Listed:
  • Wang, Qiuchen
  • Liu, Hongyi
  • Ore, Fredrik
  • Wang, Lihui
  • Hauge, Jannicke Baalsrud
  • Meijer, Sebastiaan

Abstract

Implementing an industrial collaborative robot for Human-Robot Collaboration (HRC) in the automotive manufacturing industry is an emerging technology-driven solution aiming to increase production efficiency and reduce the human operator's ergonomic load. Successful implementation of innovative technology depends on technical feasibility and on the acceptance by the affected actors. Many studies exist that focus on the technical aspects of HRC, however, research that focuses on understanding the multi-actor concerns of HRC adoption is rare. In an effort to support the successful adoption of industrial collaborative robots, this study aims to understand the concerns of the various actors who work at the operational and management levels influencing future HRC adoption in the heavy automotive manufacturing industry.

Suggested Citation

  • Wang, Qiuchen & Liu, Hongyi & Ore, Fredrik & Wang, Lihui & Hauge, Jannicke Baalsrud & Meijer, Sebastiaan, 2023. "Multi-actor perspectives on human robotic collaboration implementation in the heavy automotive manufacturing industry - A Swedish case study," Technology in Society, Elsevier, vol. 72(C).
  • Handle: RePEc:eee:teinso:v:72:y:2023:i:c:s0160791x22003062
    DOI: 10.1016/j.techsoc.2022.102165
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X22003062
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.techsoc.2022.102165?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. Whitmarsh, David & Palmieri, Maria Giovanna, 2009. "Social acceptability of marine aquaculture: The use of survey-based methods for eliciting public and stakeholder preferences," Marine Policy, Elsevier, vol. 33(3), pages 452-457, May.
    2. Stéphanie Missonier & Sabrina Loufrani-Fedida, 2014. "Stakeholder analysis and engagement in projects: from stakeholder relational perspective to stakeholder relational ontology," Post-Print halshs-01057834, HAL.
    3. Michael Barrett & Eivor Oborn & Wanda J. Orlikowski & JoAnne Yates, 2012. "Reconfiguring Boundary Relations: Robotic Innovations in Pharmacy Work," Organization Science, INFORMS, vol. 23(5), pages 1448-1466, October.
    4. Losonci, Dávid & Demeter, Krisztina & Jenei, István, 2011. "Factors influencing employee perceptions in lean transformations," International Journal of Production Economics, Elsevier, vol. 131(1), pages 30-43, May.
    5. Jiajia Liu & Andrew Tylecote, 2009. "Corporate Governance and Technological Capability Development: Three Case Studies in the Chinese Auto Industry," Industry and Innovation, Taylor & Francis Journals, vol. 16(4-5), pages 525-544.
    6. Qiuchen Wang & Jannicke Baalsrud Hauge & Sebastiaan Meijer, 2019. "Adopting an Actor Analysis Framework to a Complex Technology Innovation Project: A Case Study of an Electric Road System," Sustainability, MDPI, vol. 12(1), pages 1-35, December.
    7. Leon M. Hermans & Scott W. Cunningham, 2013. "Actor Models for Policy Analysis," International Series in Operations Research & Management Science, in: Wil A. H. Thissen & Warren E. Walker (ed.), Public Policy Analysis, edition 127, chapter 0, pages 185-213, Springer.
    8. Ana Colim & Rita Morgado & Paula Carneiro & Nélson Costa & Carlos Faria & Nuno Sousa & Luís A. Rocha & Pedro Arezes, 2021. "Lean Manufacturing and Ergonomics Integration: Defining Productivity and Wellbeing Indicators in a Human–Robot Workstation," Sustainability, MDPI, vol. 13(4), pages 1-21, February.
    9. Reiman, Arto & Kaivo-oja, Jari & Parviainen, Elina & Takala, Esa-Pekka & Lauraeus, Theresa, 2021. "Human factors and ergonomics in manufacturing in the industry 4.0 context – A scoping review," Technology in Society, Elsevier, vol. 65(C).
    10. Hermans, Leon M. & Thissen, Wil A.H., 2009. "Actor analysis methods and their use for public policy analysts," European Journal of Operational Research, Elsevier, vol. 196(2), pages 808-818, July.
    11. Zhong, Lina & Verma, Rohit & Wei, Wenqi & Morrsion, Alastair M. & Yang, Liyu, 2022. "Multi-stakeholder perspectives on the impacts of service robots in urban hotel rooms," Technology in Society, Elsevier, vol. 68(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Haber, Liat & Carmeli, Abraham, 2023. "Leading the challenges of implementing new technologies in organizations," Technology in Society, Elsevier, vol. 74(C).

    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. Qiuchen, Wang & Jannicke, Hauge Baalsrud & Sebastiaan, Meijer, 2022. "The complexity of stakeholder influence on MaaS: A study on multi-stakeholder perspectives in Shenzhen self-driving mini-bus case," Research in Transportation Economics, Elsevier, vol. 94(C).
    2. Qiuchen Wang & Jannicke Baalsrud Hauge & Sebastiaan Meijer, 2019. "Adopting an Actor Analysis Framework to a Complex Technology Innovation Project: A Case Study of an Electric Road System," Sustainability, MDPI, vol. 12(1), pages 1-35, December.
    3. Catherine Maware & David M. Parsley, 2022. "The Challenges of Lean Transformation and Implementation in the Manufacturing Sector," Sustainability, MDPI, vol. 14(10), pages 1-24, May.
    4. Trutnevyte, Evelina & Stauffacher, Michael & Scholz, Roland W., 2012. "Linking stakeholder visions with resource allocation scenarios and multi-criteria assessment," European Journal of Operational Research, Elsevier, vol. 219(3), pages 762-772.
    5. Tortorella, Guilherme Luz & Narayanamurthy, Gopalakrishnan & Thurer, Matthias, 2021. "Identifying pathways to a high-performing lean automation implementation: An empirical study in the manufacturing industry," International Journal of Production Economics, Elsevier, vol. 231(C).
    6. Wenshuai Wu & Gang Kou, 2016. "A group consensus model for evaluating real estate investment alternatives," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-10, December.
    7. Ruthanne Huising, 2014. "The Erosion of Expert Control Through Censure Episodes," Organization Science, INFORMS, vol. 25(6), pages 1633-1661, December.
    8. Jiuh‐Biing Sheu & Tsan‐Ming Choi, 2023. "Can we work more safely and healthily with robot partners? A human‐friendly robot–human‐coordinated order fulfillment scheme," Production and Operations Management, Production and Operations Management Society, vol. 32(3), pages 794-812, March.
    9. Oliver Thomas & Simon Hagen & Ulrich Frank & Jan Recker & Lauri Wessel & Friedemann Kammler & Novica Zarvic & Ingo Timm, 2020. "Global Crises and the Role of BISE," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(4), pages 385-396, August.
    10. Gomes, Sharlene L. & Hermans, Leon M. & Thissen, Wil A.H., 2018. "Extending community operational research to address institutional aspects of societal problems: Experiences from peri-urban Bangladesh," European Journal of Operational Research, Elsevier, vol. 268(3), pages 904-917.
    11. Branislav Micieta & Honorata Howaniec & Vladimíra Binasova & Marta Kasajova & Miroslav Fusko, 2021. "Increasing Work Efficiency in a Manufacturing Setting Using Gemba Walk," European Research Studies Journal, European Research Studies Journal, vol. 0(Special 4), pages 601-620.
    12. Masashi Goto, 2020. "Theorization of Institutional Change in the Rise of Artificial Intelligence," Discussion Paper Series DP2020-12, Research Institute for Economics & Business Administration, Kobe University.
    13. Özköse, Hakan & Güney, Gül, 2023. "The effects of industry 4.0 on productivity: A scientific mapping study," Technology in Society, Elsevier, vol. 75(C).
    14. Andrew Shipilov & Frédéric C. Godart & Julien Clement, 2017. "Which boundaries? How mobility networks across countries and status groups affect the creative performance of organizations," Strategic Management Journal, Wiley Blackwell, vol. 38(6), pages 1232-1252, June.
    15. Evans, Sarah & Scarbrough, Harry, 2014. "Supporting knowledge translation through collaborative translational research initiatives: ‘Bridging’ versus ‘blurring’ boundary-spanning approaches in the UK CLAHRC initiative," Social Science & Medicine, Elsevier, vol. 106(C), pages 119-127.
    16. Chand Bhatt, Priyanka & Kumar, Vimal & Lu, Tzu-Chuen & Daim, Tugrul, 2021. "Technology convergence assessment: Case of blockchain within the IR 4.0 platform," Technology in Society, Elsevier, vol. 67(C).
    17. Alaimo, Cristina & Kallinikos, Jannis, 2022. "Organizations decentered: data objects, technology and knowledge," LSE Research Online Documents on Economics 112470, London School of Economics and Political Science, LSE Library.
    18. Ebru Dilan & Mehmet N. Aydin, 2019. "An Integrated Framework for Examining Innovation Alignment in Organizations," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(04), pages 1-28, June.
    19. Youngjin Yoo & Richard J. Boland & Kalle Lyytinen & Ann Majchrzak, 2012. "Organizing for Innovation in the Digitized World," Organization Science, INFORMS, vol. 23(5), pages 1398-1408, October.
    20. Mohammad Iranmanesh & Suhaiza Zailani & Sunghyup Sean Hyun & Mohd Helmi Ali & Kwangyong Kim, 2019. "Impact of Lean Manufacturing Practices on Firms’ Sustainable Performance: Lean Culture as a Moderator," Sustainability, MDPI, vol. 11(4), pages 1-20, February.

    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:eee:teinso:v:72:y:2023:i:c:s0160791x22003062. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    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.