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Effects of organizational learning on process technology and operations performance in mass customizers

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  • Fang, Edward Aihua
  • Li, Xiaoyi
  • Lu, Jiajun

Abstract

This study investigates the role of organizational learning and process technology in the implementation of mass customization based on 211 samples obtained from 6 provinces and municipalities in China.

Suggested Citation

  • Fang, Edward Aihua & Li, Xiaoyi & Lu, Jiajun, 2016. "Effects of organizational learning on process technology and operations performance in mass customizers," International Journal of Production Economics, Elsevier, vol. 174(C), pages 68-75.
  • Handle: RePEc:eee:proeco:v:174:y:2016:i:c:p:68-75
    DOI: 10.1016/j.ijpe.2016.01.019
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    References listed on IDEAS

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    9. Fang, Edward Aihua & Wu, Qizhi & Miao, Chaowei & Xia, Jiansheng & Chen, Dezhi, 2013. "The impact of new product & operations technological practices on organization structure," International Journal of Production Economics, Elsevier, vol. 145(2), pages 733-742.
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    Cited by:

    1. Na Liu & Pui-Sze Chow & Hongshan Zhao, 2020. "Challenges and critical successful factors for apparel mass customization operations: recent development and case study," Annals of Operations Research, Springer, vol. 291(1), pages 531-563, August.
    2. Ojha, Divesh & Acharya, Chandan & Cooper, Danielle, 2018. "Transformational leadership and supply chain ambidexterity: Mediating role of supply chain organizational learning and moderating role of uncertainty," International Journal of Production Economics, Elsevier, vol. 197(C), pages 215-231.
    3. Yang, Rui & Tang, Wansheng & Dou, Mengdi & Zhang, Jianxiong, 2021. "Pricing and investing in co-creation with customers for a duopoly," International Journal of Production Economics, Elsevier, vol. 237(C).
    4. Sandrin, Enrico & Trentin, Alessio & Forza, Cipriano, 2018. "Leveraging high-involvement practices to develop mass customization capability: A contingent configurational perspective," International Journal of Production Economics, Elsevier, vol. 196(C), pages 335-345.
    5. Arana-Solares, Iván Andrés & Ortega-Jiménez, César H. & Alfalla-Luque, Rafaela & Pérez-Díez de los Ríos, José Luis, 2019. "Contextual factors intervening in the manufacturing strategy and technology management-performance relationship," International Journal of Production Economics, Elsevier, vol. 207(C), pages 81-95.
    6. Yuan, Yang & Feng, Bo & Lai, Fujun & Collins, Brian J., 2018. "The role of trust, commitment, and learning orientation on logistic service effectiveness," Journal of Business Research, Elsevier, vol. 93(C), pages 37-50.
    7. Calış Duman, Meral & Akdemir, Bunyamin, 2021. "A study to determine the effects of industry 4.0 technology components on organizational performance," Technological Forecasting and Social Change, Elsevier, vol. 167(C).
    8. Tortorella, Guilherme Luz & Cawley Vergara, Alejandro Mac & Garza-Reyes, Jose Arturo & Sawhney, Rapinder, 2020. "Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers," International Journal of Production Economics, Elsevier, vol. 219(C), pages 284-294.

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