Leveraging high-involvement practices to develop mass customization capability: A contingent configurational perspective
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DOI: 10.1016/j.ijpe.2017.12.005
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Cited by:
- 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.
- Cannas, Violetta G. & Gosling, Jonathan & Pero, Margherita & Rossi, Tommaso, 2019. "Engineering and production decoupling configurations: An empirical study in the machinery industry," International Journal of Production Economics, Elsevier, vol. 216(C), pages 173-189.
- Zhang, Linda L. & Shafiee, Sara, 2022. "Developing separate or integrated configurators? A longitudinal case study," International Journal of Production Economics, Elsevier, vol. 249(C).
- Linda Zhang & Sara Shafiee, 2022. "Developing separate or integrated configurators? A longitudinal case study," Post-Print hal-03707380, HAL.
- Lin, Shunzhi & Lin, Jiabao, 2023. "How organizations leverage digital technology to develop customization and enhance customer relationship performance: An empirical investigation," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
- Cannas, Violetta G. & Gosling, Jonathan & Pero, Margherita & Rossi, Tommaso, 2020. "Determinants for order-fulfilment strategies in engineer-to-order companies: Insights from the machinery industry," International Journal of Production Economics, Elsevier, vol. 228(C).
- Shao, Xiao-Feng, 2020. "What is the right production strategy for horizontally differentiated product: Standardization or mass customization?," International Journal of Production Economics, Elsevier, vol. 223(C).
- Cannas, Violetta Giada & Gosling, Jonathan, 2021. "A decade of engineering-to-order (2010–2020): Progress and emerging themes," International Journal of Production Economics, Elsevier, vol. 241(C).
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Keywords
Mass customization; Human resource management; Employee involvement; Engineer-to-order; Survey research;All these keywords.
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