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Effects of standardization and innovation on mass customization: An empirical investigation

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  • Wang, Zhiqiang
  • Zhang, Min
  • Sun, Hongyi
  • Zhu, Guilong

Abstract

Mass customization (MC) refers to the capability to produce customized goods for a mass market. Innovation can enhance the flexibility and responsiveness of a company, and standardization enables the company to achieve economies of scale and scope, both of which are necessary for developing MC capability. A conceptual model is proposed to explore the relationships among innovation, standardization, MC capability, and delivery speed. Hypotheses are tested using survey data from 204 manufacturing companies in China. The results show that standardization positively influences innovation. Innovation and standardization positively affect MC capability and are complementary in developing MC capability. Innovation significantly enhances delivery speed. However, the direct effect of standardization on delivery speed is nonsignificant. In addition, innovation and standardization indirectly affect delivery speed through MC capability. This study contributes to the literature by providing empirical evidence on the individual and interactive effects of standardization and innovation in developing MC capability and their joint influence on delivery speed. The results will help managers understand the roles of standardization and innovation in improving organizational capability and performance.

Suggested Citation

  • Wang, Zhiqiang & Zhang, Min & Sun, Hongyi & Zhu, Guilong, 2016. "Effects of standardization and innovation on mass customization: An empirical investigation," Technovation, Elsevier, vol. 48, pages 79-86.
    • Handle: RePEc:eee:techno:v:48-49:y:2016:i::p:79-86
    DOI: 10.1016/j.technovation.2016.01.003
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    References listed on IDEAS

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    Cited by:

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    3. Hong Xue & Shoujian Zhang & Yikun Su & Zezhou Wu, 2018. "Capital Cost Optimization for Prefabrication: A Factor Analysis Evaluation Model," Sustainability, MDPI, vol. 10(1), pages 1-22, January.
    4. Hu, Yefei & Liu, Dayong, 2022. "Government as a non-financial participant in innovation: How standardization led by government promotes regional innovation performance in China," Technovation, Elsevier, vol. 114(C).
    5. Zhang, Min & Qi, Yinan & Wang, Zhiqiang & Zhao, Xiande & Pawar, Kulwant S., 2019. "Effects of business and political ties on product innovation performance: Evidence from China and India," Technovation, Elsevier, vol. 80, pages 30-39.
    6. Paras Bhatt & Claire Vishik & Govind Hariharan & H. Raghav Rao, 2022. "To Participate Or Not To Participate: An Investigation Of Strategic Participation In Standards," Papers 2204.03055, arXiv.org.
    7. Dhir, Amandeep & Talwar, Shalini & Islam, Nazrul & Alghafes, Rasha & Badghish, Saeed, 2023. "Different strokes for different folks: Comparative analysis of 3D printing in large, medium and small firms," Technovation, Elsevier, vol. 125(C).
    8. Li-Min Chuang & Wei-Jen Chen & Min-Tsai Lai, 2019. "Standardization for innovation: The adoption of drug entity identification in the pharmaceutical industry for public health," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 9(4), pages 1-4.
    9. 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.
    10. Yilun Zhang & Jianghang Chen & Zhibin Jiang, 2023. "Optimal product service system configuration considering pairing utility and uncertain customer behavior," Flexible Services and Manufacturing Journal, Springer, vol. 35(2), pages 343-375, June.
    11. Pallant, Jessica L. & Karpen, Ingo O. & Sands, Sean J., 2022. "What drives consumers to customize products? The mediating role of brand experience," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    12. Jing Han & Wenjing Zhang & Jiutian Wang & Songmei Li, 2024. "A Double-Layer Coupled Network Model of Network Density Effects on Multi-Stage Innovation Efficiency Dynamics: Agent-Based Modeling Methods," Mathematics, MDPI, vol. 12(2), pages 1-25, January.
    13. Ahmed, Waqar & Najmi, Arsalan & Ikram, Minhaj, 2020. "Steering firm performance through innovative capabilities: A contingency approach to innovation management," Technology in Society, Elsevier, vol. 63(C).
    14. Mile Katic & Renu Agarwal, 2018. "The Flexibility Paradox: Achieving Ambidexterity in High-Variety, Low-Volume Manufacturing," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 69-86, March.
    15. Li, Xiaoying & Tan, Ying, 2020. "University R&D activities and firm innovations," Finance Research Letters, Elsevier, vol. 37(C).
    16. Gilseung Ahn & You-Jin Park & Sun Hur, 2016. "The Dynamic Enterprise Network Composition Algorithm for Efficient Operation in Cloud Manufacturing," Sustainability, MDPI, vol. 8(12), pages 1-17, November.

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