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Smart product service system hierarchical model in banking industry under uncertainties

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  • Tseng, Ming-Lang
  • Bui, Tat-Dat
  • Lan, Shulin
  • Lim, Ming K.
  • Mashud, Abu Hashan Md

Abstract

This study adopts the diffusion of innovation theory as to develop the smart product service system model in banking industry due to prior studies are lacking in identifying the attributes. The smart product service system functions are bearing high uncertainty and system complexity; hence, the hybrid method of fuzzy Delphi method and fuzzy decision-making trial and evaluation laboratory to construct a valid hierarchical model and identified the causal interrelationships among the attributes. The smart product service system hierarchical model with eight aspects and 41 criteria are proposed enriching the existing literature and that identify appropriate strategies to achieve operational performance. The results show that seven aspects and 22 criteria are determined as the valid hierarchical model. The institutional compression, digital platform operation, and e-knowledge management are the causing aspects helps to form smart product service system operational performance in high uncertainty. For practices, the banking decision-makers should develop innovative actions relied on the forcible compression, cyber-physical systems, industrial big data, cloud service allocation and sharing, and transparency improvement as they are most importance criteria playing a decisive role in a successful SPSS. This provides guidelines for banking industry practice in Taiwan encouraging the miscellany of digital technology accomplishment for sustainable target.

Suggested Citation

  • Tseng, Ming-Lang & Bui, Tat-Dat & Lan, Shulin & Lim, Ming K. & Mashud, Abu Hashan Md, 2021. "Smart product service system hierarchical model in banking industry under uncertainties," International Journal of Production Economics, Elsevier, vol. 240(C).
    • Handle: RePEc:eee:proeco:v:240:y:2021:i:c:s0925527321002206
    DOI: 10.1016/j.ijpe.2021.108244
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    References listed on IDEAS

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    1. Yu, Ming-Miin & Lin, Chung-I & Chen, Kuan-Chen & Chen, Li-Hsueh, 2021. "Measuring Taiwanese bank performance: A two-system dynamic network data envelopment analysis approach," Omega, Elsevier, vol. 98(C).
    2. Qiang Zhang & Xiaonong Lu & Zhanglin Peng & Minglun Ren, 2019. "Perspective: a review of lifecycle management research on complex products in smart-connected environments," International Journal of Production Research, Taylor & Francis Journals, vol. 57(21), pages 6758-6779, November.
    3. Phung, Manh-Trung & Cheng, Cheng-Ping & Guo, Chuanyin & Kao, Chen-Yu, 2020. "Mixed Network DEA with Shared Resources: A Case of Measuring Performance for Banking Industry," Operations Research Perspectives, Elsevier, vol. 7(C).
    4. Min, Hokey, 2019. "Blockchain technology for enhancing supply chain resilience," Business Horizons, Elsevier, vol. 62(1), pages 35-45.
    5. Cenamor, J. & Rönnberg Sjödin, D. & Parida, V., 2017. "Adopting a platform approach in servitization: Leveraging the value of digitalization," International Journal of Production Economics, Elsevier, vol. 192(C), pages 54-65.
    6. Opricovic, Serafim & Tzeng, Gwo-Hshiung, 2004. "Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS," European Journal of Operational Research, Elsevier, vol. 156(2), pages 445-455, July.
    7. Frishammar, Johan & Richtnér, Anders & Brattström, Anna & Magnusson, Mats & Björk, Jennie, 2019. "Opportunities and challenges in the new innovation landscape: Implications for innovation auditing and innovation management," European Management Journal, Elsevier, vol. 37(2), pages 151-164.
    8. Esteban Lafuente & Yancy Vaillant & Ferran Vendrell-Herrero, 2019. "Territorial servitization and the manufacturing renaissance in knowledge-based economies," Regional Studies, Taylor & Francis Journals, vol. 53(3), pages 313-319, March.
    9. Ho, Jonathan C. & Wu, Chorng-Guang & Lee, Chung-Shing & Pham, Thanh-Thao T., 2020. "Factors affecting the behavioral intention to adopt mobile banking: An international comparison," Technology in Society, Elsevier, vol. 63(C).
    10. Huang, Tai-Hsin & Hu, Chu-Nan & Chang, Bao-Guang, 2018. "Competition, efficiency, and innovation in Taiwan’s banking industry — An application of copula methods," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 362-375.
    11. Michel Lander & Pursey Heugens, 2009. "Structure! Agency! (And Other Quarrels): Meta-Analyzing Institutional Theories of Organization," Post-Print hal-00623835, HAL.
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    Cited by:

    1. Ching-Hsin Wang & Yi-Chun Chen & Jovi Sulistiawan & Tat-Dat Bui & Ming-Lang Tseng, 2021. "Hybrid Approach to Corporate Sustainability Performance in Indonesia’s Cement Industry," Sustainability, MDPI, vol. 13(24), pages 1-21, December.
    2. Tseng, Ming-Lang & Bui, Tat-Dat & Lim, Ming K. & Fujii, Minoru & Mishra, Umakanta, 2022. "Assessing data-driven sustainable supply chain management indicators for the textile industry under industrial disruption and ambidexterity," International Journal of Production Economics, Elsevier, vol. 245(C).
    3. Yang, Zaoli & Li, Qin & Charles, Vincent & Xu, Bing & Gupta, Shivam, 2023. "Supporting personalized new energy vehicle purchase decision-making: Customer reviews and product recommendation platform," International Journal of Production Economics, Elsevier, vol. 265(C).

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