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Linking manufacturing flexibility to innovation performance in manufacturing plants

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  • Oke, Adegoke

Abstract

In the past few decades, the concept of manufacturing flexibility has become a key competitive criterion for many manufacturing organizations. The importance of flexibility in supporting other competitive criteria such as cost, quality and delivery speed has also been recognized (Bolwijn and Kumpe, 1990). However, there is a dearth of studies linking flexibility with another competitive criterion—innovation. In this study, we investigate the influence of the interaction of mix flexibility and labor flexibility on product innovation based on a survey of UK manufacturing plants. Further, we investigate the role of climate for innovation both as an antecedent of product innovation and a moderator that moderates the influence of the interaction of mix flexibility and labor flexibility on product innovation. The analyses reveal that the interaction of mix flexibility and labor flexibility positively predicts product innovation in manufacturing plants. Climate for innovation positively predicts product innovation and also positively moderates the interaction of mix and labor flexibility on product innovation. The implications for theory and practice are discussed.

Suggested Citation

  • Oke, Adegoke, 2013. "Linking manufacturing flexibility to innovation performance in manufacturing plants," International Journal of Production Economics, Elsevier, vol. 143(2), pages 242-247.
  • Handle: RePEc:eee:proeco:v:143:y:2013:i:2:p:242-247
    DOI: 10.1016/j.ijpe.2011.09.014
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    Cited by:

    1. Candi, Marina & Beltagui, Ahmad, 2019. "Effective use of 3D printing in the innovation process," Technovation, Elsevier, vol. 80, pages 63-73.
    2. Magaly Gaviria-Marin & Jorge Matute-Vallejo & Hugo Baier-Fuentes, 2021. "The effect of ICT and higher-order capabilities on the performance of Ibero-American SMEs," Computational and Mathematical Organization Theory, Springer, vol. 27(4), pages 414-450, December.
    3. Pravin Kumar & Rajesh K. Singh & Rakesh Kumar, 2017. "An integrated framework of interpretive structural modeling and graph theory matrix approach to fix the agility index of an automobile manufacturing organization," 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. 8(1), pages 342-352, January.
    4. Jain, Vineet & Raj, Tilak, 2016. "Modeling and analysis of FMS performance variables by ISM, SEM and GTMA approach," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 84-96.
    5. Zhi-Peng Li & Hyi-Thaek Ceong & Sang-Joon Lee, 2021. "The Effect of Blockchain Operation Capabilities on Competitive Performance in Supply Chain Management," Sustainability, MDPI, vol. 13(21), pages 1-24, November.
    6. Lalatendu Kesari Jena & Nazia Zabin Memon, 2018. "Does Workplace Flexibility Usher Innovation? A Moderated Mediation Model on the Enablers of Innovative Workplace Behavior," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 5-17, March.
    7. Graziela Darla Araujo Galvão & Steve Evans & Paulo Sergio Scoleze Ferrer & Marly Monteiro de Carvalho, 2022. "Circular business model: Breaking down barriers towards sustainable development," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1504-1524, May.
    8. Liu, Yi & Liao, Yonghai & Li, Yuan, 2018. "Capability configuration, ambidexterity and performance: Evidence from service outsourcing sector," International Journal of Production Economics, Elsevier, vol. 200(C), pages 343-352.
    9. Huo, Baofeng & Ye, Yuxiao & Zhao, Xiande & Shou, Yongyi, 2016. "The impact of human capital on supply chain integration and competitive performance," International Journal of Production Economics, Elsevier, vol. 178(C), pages 132-143.
    10. Federica Costa & Alberto Portioli-Staudacher, 2021. "Labor flexibility integration in workload control in Industry 4.0 era," Operations Management Research, Springer, vol. 14(3), pages 420-433, December.
    11. Choe, Pilsung & Tew, Jeffrey D. & Tong, Songzhen, 2015. "Effect of cognitive automation in a material handling system on manufacturing flexibility," International Journal of Production Economics, Elsevier, vol. 170(PC), pages 891-899.
    12. Seebacher, Gottfried & Winkler, Herwig, 2015. "A capability approach to evaluate supply chain flexibility," International Journal of Production Economics, Elsevier, vol. 167(C), pages 177-186.
    13. Nagwan AlQershi & Zakaria Bin Abas & Sany Sanuri Mohd Mokhtar, 2019. "THE MEDIATING EFFECT OF HUMAN CAPITAL ON THE RELATIONSHIP BETWEEN STRATEGIC INNOVATION AND THE PERFORMANCE OF MANUFACTURING SMEs IN YEMEN," Organizations and Markets in Emerging Economies, Faculty of Economics, Vilnius University, vol. 10(1).
    14. Cherrafi, Anass & Garza-Reyes, Jose Arturo & Kumar, Vikas & Mishra, Nishikant & Ghobadian, Abby & Elfezazi, Said, 2018. "Lean, green practices and process innovation: A model for green supply chain performance," International Journal of Production Economics, Elsevier, vol. 206(C), pages 79-92.
    15. Yu, Kangkang & Cadeaux, Jack & Luo, Ben Nanfeng, 2015. "Operational flexibility: Review and meta-analysis," International Journal of Production Economics, Elsevier, vol. 169(C), pages 190-202.

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