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Demand chain management: Relationships between external antecedents, web-based integration and service innovation performance

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  • Chong, Alain Yee-Loong
  • Zhou, Li

Abstract

This paper presents an investigation of the relationships between the factors that drive the adoption of integrated, web-based demand chain management (DCM), as well as the relationship between web-based DCM integration and service innovation performance. Data was collected from 256 companies in the health care industry. The results show that collaborative structure (e.g. competitive pressure, trust, information sharing and environmental uncertainty) and technological structure (e.g. security) have a positive and significant influence on an organization׳s decision to adopt web-based DCM integration. However, collaborative structure has the greatest influence by far on an organization׳s adoption of web-based DCM integration. The findings also show strong evidence that web-based DCM integration improves service innovation performance. We also found that web-based DCM implementation has a greater impact on service innovation performance than in organizations that only implement web-based supply or demand integration strategies. This research has important implications for organizations interested in improving their service innovation performance, as well as improving web-based DCM integration. For example, to improve the success of web-based DCM adoption, organizations should focus on improving their collaborative structure with suppliers and customers first, before considering their technological structure. Security is also a key issue that needs to be addressed by organizations to ensure the successful adoption of web-based DCM.

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  • Chong, Alain Yee-Loong & Zhou, Li, 2014. "Demand chain management: Relationships between external antecedents, web-based integration and service innovation performance," International Journal of Production Economics, Elsevier, vol. 154(C), pages 48-58.
    • Handle: RePEc:eee:proeco:v:154:y:2014:i:c:p:48-58
    DOI: 10.1016/j.ijpe.2014.04.005
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    3. Bag, Surajit & Dhamija, Pavitra & Singh, Rajesh Kumar & Rahman, Muhammad Sabbir & Sreedharan, V. Raja, 2023. "Big data analytics and artificial intelligence technologies based collaborative platform empowering absorptive capacity in health care supply chain: An empirical study," Journal of Business Research, Elsevier, vol. 154(C).
    4. Satyendra Kumar Sharma & Swapnajit Chakraborti & Tanaya Jha, 2019. "Analysis of book sales prediction at Amazon marketplace in India: a machine learning approach," Information Systems and e-Business Management, Springer, vol. 17(2), pages 261-284, December.
    5. Shen, Bin & Xu, Xiaoyan & Chan, Hau Ling & Choi, Tsan-Ming, 2021. "Collaborative innovation in supply chain systems: Value creation and leadership structure," International Journal of Production Economics, Elsevier, vol. 235(C).
    6. Yee-Loong Chong, Alain & Liu, Martin J. & Luo, Jun & Keng-Boon, Ooi, 2015. "Predicting RFID adoption in healthcare supply chain from the perspectives of users," International Journal of Production Economics, Elsevier, vol. 159(C), pages 66-75.
    7. Yeo, Sook Fern & Tan, Cheng Ling & Teo, Shen Long & Tan, Kim Hua, 2021. "The role of food apps servitization on repurchase intention: A study of FoodPanda," International Journal of Production Economics, Elsevier, vol. 234(C).
    8. Chen, Kaui-Hwang & Wang, Chun-Hsien & Huang, Shi-Zheng & Shen, George C., 2016. "Service innovation and new product performance: The influence of market-linking capabilities and market turbulence," International Journal of Production Economics, Elsevier, vol. 172(C), pages 54-64.
    9. Krzysztof Borodako & Jadwiga Berbeka & Michał Rudnicki, 2021. "Innovation Orientation in Business Services," Books, Edward Elgar Publishing, number 19897.
    10. Rönnberg Sjödin, David & Parida, Vinit & Kohtamäki, Marko, 2016. "Capability configurations for advanced service offerings in manufacturing firms: Using fuzzy set qualitative comparative analysis," Journal of Business Research, Elsevier, vol. 69(11), pages 5330-5335.
    11. Xie, Xuemei & Wang, Hongwei & García, Javier Sendra, 2021. "How does customer involvement in service innovation motivate service innovation performance? The roles of relationship learning and knowledge absorptive capacity," Journal of Business Research, Elsevier, vol. 136(C), pages 630-643.
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    13. Yang Yang & Zhongqiu Li & Yingying Su, 2018. "The Effectiveness of Service Innovation Practices to Reduce Energy Consumption Based on Adaptive Theory," Sustainability, MDPI, vol. 10(9), pages 1-16, September.

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