IDEAS home Printed from https://ideas.repec.org/a/pes/ieroec/v11y2020i3p531-547.html
   My bibliography  Save this article

Proactive customer orientation and joint learning capabilities in collaborative machine to machine innovation technology development: the case study of automotive equipment manufacturer

Author

Listed:
  • Anna Zadykowicz

    (Independent Researcher, Poland)

  • Krzysztof J. Chmielewski

    (Kozminski University, Poland)

  • Dariusz Siemieniako

    (Bialystok University of Technology, Poland)

Abstract

Research background: There is a considerable amount of literature focused on customers’ motivation to participate in cooperative new product development [NPD], but previous research neglected the suppliers’ perspective concerning organizational mechanisms for the facilitation of customer involvement in cooperative new product development. Purpose of the article: The aim of the study is to explore the influence of two kinds of dynamic capabilities, proactive customer orientation [PCO] and joint learning capability [JLC] on the acceptance and use of machine to machine interaction [M2M] in collaborative innovation development [CID], from the supplier’s perspective. Methods: The research is based on a case study carried out from June 2018 till June 2019 of a Polish automation integrator supplying a manufacturer of automotive equipment, i.e. automotive industry, in a fully robotized workstation. In order to understand how the company functions in this case, in-depth interviews with the company’s employees have been conducted. Findings & Value added: The results revealed that intelligent devices, interacting machines, and real-time data transfer to the supplier may cause disruptions through their impact on establishing trustful business relationships. We believe our findings could have a profound impact on the way how proactive customer orientation and relational interactions supported knowledge sharing and joint learning sense-making through operational meetings and on-the-job workshops which role was to evaluate the collaborative project.

Suggested Citation

  • Anna Zadykowicz & Krzysztof J. Chmielewski & Dariusz Siemieniako, 2020. "Proactive customer orientation and joint learning capabilities in collaborative machine to machine innovation technology development: the case study of automotive equipment manufacturer," Oeconomia Copernicana, Institute of Economic Research, vol. 11(3), pages 531-547, September.
    • Handle: RePEc:pes:ieroec:v:11:y:2020:i:3:p:531-547
    DOI: 10.24136/oc.2020.022
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.24136/oc.2020.022
    Download Restriction: no
    File URL: https://libkey.io/10.24136/oc.2020.022?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
    ---><---

    Citations

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


    Cited by:

    1. Dariusz Siemieniako & Pawe³ Kaliszewski, 2022. "Factors influencing structural power dynamics in buyer-supplier relationships: a power sources framework and application of the critical incident technique," Oeconomia Copernicana, Institute of Economic Research, vol. 13(1), pages 151-179, March.
    2. Bartłomiej Igliński & Michał Bernard Pietrzak & Urszula Kiełkowska & Mateusz Skrzatek & Artur Gajdos & Anas Zyadin & Karthikeyan Natarajan, 2022. "How to Meet the Green Deal Objectives—Is It Possible to Obtain 100% RES at the Regional Level in the EU?," Energies, MDPI, vol. 15(6), pages 1-24, March.
    3. Mitrega, Maciej & Siemieniako, Dariusz & Makkonen, Hannu & Kubacki, Krzysztof & Bresciani, Stefano, 2021. "Versatile capabilities for growth in the context of transforming countries: Evidence from Polish manufacturing companies," Journal of Business Research, Elsevier, vol. 134(C), pages 156-170.
    4. Pfajfar, Gregor & Shoham, Aviv & Małecka, Agnieszka & Zalaznik, Maja, 2022. "Value of corporate social responsibility for multiple stakeholders and social impact – Relationship marketing perspective," Journal of Business Research, Elsevier, vol. 143(C), pages 46-61.
    5. Olgun Aydin & Bartłomiej Igliński & Krzysztof Krukowski & Marek Siemiński, 2022. "Analyzing Wind Energy Potential Using Efficient Global Optimization: A Case Study for the City Gdańsk in Poland," Energies, MDPI, vol. 15(9), pages 1-22, April.
    6. Lucie Kaňovská & Veronika Bumberová, 2021. "The Differences in the Propensity of Providing Smart Services by SMEs from the Electrical Engineering Industry with Regard to Their Cooperation and Innovation Flexibility," Sustainability, MDPI, vol. 13(9), pages 1-23, April.
    7. Eva Tomášková & Lucie Kaòovská, 2022. "Impact of cooperation flexibility on innovation flexibility in SMEs," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 17(2), pages 533-566, June.
    8. Siemieniako, Dariusz & Kubacki, Krzysztof & Mitręga, Maciej, 2021. "Inter-organisational relationships for social impact: A systematic literature review," Journal of Business Research, Elsevier, vol. 132(C), pages 453-469.
    9. Justyna Witkowska & Sylwia Stachowska, 2021. "Competencies of Sales Employees as a Determinant of the Quality of Provided Services Based on the Insurance Market," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 841-855.

    More about this item

    Keywords

    proactive customer orientation; industrial information technology; joint learning capability; collaborative innovation development; expert power dimension;
    All these keywords.

    JEL classification:

    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • L80 - Industrial Organization - - Industry Studies: Services - - - General
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

    Statistics

    Access and download statistics

    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:pes:ieroec:v:11:y:2020:i:3:p:531-547. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Adam P. Balcerzak (email available below). General contact details of provider: https://edirc.repec.org/data/ibgtopl.html .

    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.