IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i14p6251-d1440282.html
   My bibliography  Save this article

Product Development Anxiety: A Contingency Planning Model for Innovative Production Companies

Author

Listed:
  • Mihai Dragomir

    (Design Engineering and Robotics Department, Faculty of Industrial Engineering, Robotics and Production Management, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania)

  • Aurel Mihail Țîțu

    (Industrial Engineering and Management Department, Faculty of Engineering, Lucian Blaga University of Sibiu, 550024 Sibiu, Romania)

  • Ștefan Bodi

    (Design Engineering and Robotics Department, Faculty of Industrial Engineering, Robotics and Production Management, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania)

  • Tiberiu Oșanu

    (Design Engineering and Robotics Department, Faculty of Industrial Engineering, Robotics and Production Management, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania)

  • Alexandru Radu

    (Design Engineering and Robotics Department, Faculty of Industrial Engineering, Robotics and Production Management, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania)

Abstract

This paper investigates the possible failure modes of the product development process in production companies that are active in the B2C markets with a focus on household products. Since these cases require short lead times and are difficult to differentiate, in many instances the result will not be the desired one and could affect profitability for a season or for good. A model of these possibilities is created and an approach to plan contingencies for their solutions is proposed in the article. The main guideline is to switch from failure probability determination to accepting failure as inevitable and using digital solutions to reinforce the development process to offset its impact. For this goal, an Industry 5.0 Abatement Factor (abbreviated IFAF) is introduced in the contingency planning approach, which factors in the evaluation of the low cost of digital instruments and the proper mix of Technology, Humans, and AI (abbreviated THAI). The new working procedure based on these concepts and their interlinkages is discussed based on specific examples.

Suggested Citation

  • Mihai Dragomir & Aurel Mihail Țîțu & Ștefan Bodi & Tiberiu Oșanu & Alexandru Radu, 2024. "Product Development Anxiety: A Contingency Planning Model for Innovative Production Companies," Sustainability, MDPI, vol. 16(14), pages 1-16, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:6251-:d:1440282
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/14/6251/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/16/14/6251/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Balzano, Marco & Marzi, Giacomo, 2023. "Exploring the pathways of learning from project failure and success in new product development teams," Technovation, Elsevier, vol. 128(C).
    2. Tao, Xiangming (Tommy) & Robson, Paul J.A. & Wang, Catherine L., 2023. "To learn or not to learn from new product development project failure: The roles of failure experience and error orientation," Technovation, Elsevier, vol. 127(C).
    3. Lyu, Chongchong & Zhang, Feng & Ji, Jing & Teo, Thompson S.H. & Wang, Ting & Liu, Zifan, 2022. "Competitive intensity and new product development outcomes: The roles of knowledge integration and organizational unlearning," Journal of Business Research, Elsevier, vol. 139(C), pages 121-133.
    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. Qiansong Zhang & Yingying Zhang & Taiwen Feng, 2024. "Impacts of paradox cognition and organizational unlearning on supply chain resilience: a perspective of paradox theory," Operations Management Research, Springer, vol. 17(3), pages 1022-1038, September.
    2. Chang Lu & Yong Qi & Bo Yu, 2024. "Effects of Domestic and International External Collaboration on New Product Development Performance in SMEs: Evidence from China," Sustainability, MDPI, vol. 16(1), pages 1-19, January.
    3. Marcin Suder & Rafał Kusa & Joanna Duda & Jarosław Karpacz, 2025. "Exploring impact of entrepreneurial orientation on firm performance – moderators’ variability under changing market conditions," Review of Managerial Science, Springer, vol. 19(3), pages 797-842, March.
    4. Xiaoyong Zheng, 2024. "The Impact of Digital Orientation on New Product Development Performance: Does Knowledge Intensity Matter?," Sustainability, MDPI, vol. 16(8), pages 1-27, April.
    5. Sithipolvanichgul, Juthamon & Dhir, Amandeep & Talwar, Shalini & Kaur, Puneet, 2025. "Decomposition of double-loop failure risk in post-innovation failure phase," Technovation, Elsevier, vol. 140(C).
    6. Jin, Jason Lu & Wang, Liwen & Wang, Kui & Fu, Xiaorong, 2025. "Concentrating or dispersing? The double-edged sword effects of supplier concentration on firm financial and innovation performance," Journal of Business Research, Elsevier, vol. 186(C).
    7. Hamza-Orlinska, Aneta & Maj, Jolanta & Shantz, Amanda & Vassilopoulou, Joana, 2024. "Unlearning diversity management," Journal of World Business, Elsevier, vol. 59(2).
    8. Freisinger, Elena & McCarthy, Ian P., 2024. "What fails and when? A process view of innovation failure," Technovation, Elsevier, vol. 133(C).
    9. Jian Liu & Rainer Harms, 2025. "Pathways to survive in abrupt adversities: a configurational approach to understanding the resilience of new venture teams," Review of Managerial Science, Springer, vol. 19(5), pages 1447-1476, May.
    10. Pan, Mengyang & Chen, Qiong & Xiao, Wenli, 2024. "Antecedents of radical innovation speed from a knowledge network perspective," International Journal of Production Economics, Elsevier, vol. 271(C).
    11. Ibidunni, Ayodotun Stephen, 2024. "Cross-border knowledge transfer and the innovation performance of developing economy small and medium enterprises: A moderated mediation effect of industry networks and localization of knowledge," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    12. Hanyu Zhu & Kailing Zhang & Gang Li & Lin Chen & Xijie Zhao, 2022. "Relationship Management Capability and Service Innovation Performance: The Joint-Effect of Relationship Learning and Competitive Intensity," Sustainability, MDPI, vol. 14(19), pages 1-22, September.
    13. Fumeng Li & Jiancheng Long & Wu Zhao, 2022. "Mining Braces of Innovation Linking to Digital Transformation Grounded in TOE Framework," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    14. Wang, Xiangyang & Liu, Zhiyi & Li, Jiamin & Lei, Xuefei, 2023. "How organizational unlearning leverages digital process innovation to improve performance: The moderating effects of smart technologies and environmental turbulence," Technology in Society, Elsevier, vol. 75(C).
    15. Gomes, Leonardo Augusto de Vasconcelos & Chaparro, Ximena Alejandra Flechas & Maniçoba, Rafaela Ferreira & Borini, Felipe Mendes & Silva, Lucas Emmanuel, 2025. "Transformation of the governance of failure for radical innovation: The role of strategic leaders," Research Policy, Elsevier, vol. 54(1).
    16. Riquelme-Medina, Marta & Stevenson, Mark & Barrales-Molina, Vanesa & Llorens-Montes, Francisco Javier, 2022. "Coopetition in business Ecosystems: The key role of absorptive capacity and supply chain agility," Journal of Business Research, Elsevier, vol. 146(C), pages 464-476.
    17. Williams, Allan M. & Rodríguez Sánchez, Isabel, 2024. "Knowledge mobility after tourism entrepreneurial failure: Life after death?," Annals of Tourism Research, Elsevier, vol. 106(C).
    18. Jain, Amit, 2023. "How knowledge loss and network-structure jointly determine R&D productivity in the biotechnology industry," Technovation, Elsevier, vol. 119(C).
    19. Wu, Aiqi & Song, Di & Liu, Yihui, 2022. "Platform synergy and innovation speed of SMEs: The roles of organizational design and regional environment," Journal of Business Research, Elsevier, vol. 149(C), pages 38-53.
    20. Xie, Yaping & Chen, Ruijun & Yan, Shuling, 2025. "Configuration effect of resource and capability factors on the business ecological advantage of electric vehicle enterprises," Renewable and Sustainable Energy Reviews, Elsevier, vol. 210(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:gam:jsusta:v:16:y:2024:i:14:p:6251-:d:1440282. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.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.