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Customer satisfaction service match and service quality-based blockchain cloud manufacturing

Author

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  • Wang, Binni
  • Wang, Pong
  • Tu, Yiliu

Abstract

Blockchain cloud manufacturing is an emerging service-oriented paradigm that takes many advantages to cloud manufacturing. Previous researchers have studied from eradicating third party trust problem among service providers and customers by decentralized data record and involving smart contract. However, the existing paradigm still suffers from third party trust problem among service-related participants and cloud manufacturing provider since service is solely managed by cloud manufacturing provider without supervision and service related participants cannot know whether composed service provision which indeed is NP-hard problem is optimal. In this paper, the architecture of blockchain cloud manufacturing system is proposed with adoption of several cloud manufacturing providers and vote mechanism to vote for optimal composed service provision on candidate composed service scheme firstly calculated by one cloud manufacturing provider. According to customer satisfaction-based service match and quality control, a system framework of composed service performance evaluation is desifned to incorporate the vote mechanism. Firstly, customer satisfaction dimensions as evaluation dimensions are extracted from customer text reviews based on latent dirichlet allocation (LDA) and sub-dimensions under each customer satisfaction dimension are set up based on professional field knowledge. Secondly, overall customer satisfaction rating of reviews and sentiment of reviews towards customer satisfaction dimensions are analysed by three score scheme, bag of words (BOW) and support vector machine (SVM) classification. Thirdly, the sentiment effect and category of customer satisfaction dimension on overall customer satisfaction are identified with the application of neural network and Kano model. Fourthly, in consideration of category characteristic, overall performance of customer satisfaction dimension is measured as distance and using proposed Logit-SVM method. Service selection standard according to value of customer satisfaction is set up. Finally, one empirical study is presented to verify the feasibility of proposed system framework, and proposed model is further discussed.

Suggested Citation

  • Wang, Binni & Wang, Pong & Tu, Yiliu, 2021. "Customer satisfaction service match and service quality-based blockchain cloud manufacturing," International Journal of Production Economics, Elsevier, vol. 240(C).
    • Handle: RePEc:eee:proeco:v:240:y:2021:i:c:s0925527321001961
    DOI: 10.1016/j.ijpe.2021.108220
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    References listed on IDEAS

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    1. Sara Saberi & Mahtab Kouhizadeh & Joseph Sarkis & Lejia Shen, 2019. "Blockchain technology and its relationships to sustainable supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 57(7), pages 2117-2135, April.
    2. Yingfeng Zhang & Sichao Liu & Yang Liu & Rui Li, 2016. "Smart box-enabled product–service system for cloud logistics," International Journal of Production Research, Taylor & Francis Journals, vol. 54(22), pages 6693-6706, November.
    3. Lu, Chi-Jie & Wang, Yen-Wen, 2010. "Combining independent component analysis and growing hierarchical self-organizing maps with support vector regression in product demand forecasting," International Journal of Production Economics, Elsevier, vol. 128(2), pages 603-613, December.
    4. Aydin, Nezir & Celik, Erkan & Gumus, Alev Taskin, 2015. "A hierarchical customer satisfaction framework for evaluating rail transit systems of Istanbul," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 61-81.
    5. Yang, Ching-Chiao & Marlow, Peter B. & Lu, Chin-Shan, 2009. "Assessing resources, logistics service capabilities, innovation capabilities and the performance of container shipping services in Taiwan," International Journal of Production Economics, Elsevier, vol. 122(1), pages 4-20, November.
    6. Guo, Yue & Barnes, Stuart J. & Jia, Qiong, 2017. "Mining meaning from online ratings and reviews: Tourist satisfaction analysis using latent dirichlet allocation," Tourism Management, Elsevier, vol. 59(C), pages 467-483.
    7. Jian-Wu Bi & Yang Liu & Zhi-Ping Fan & Erik Cambria, 2019. "Modelling customer satisfaction from online reviews using ensemble neural network and effect-based Kano model," International Journal of Production Research, Taylor & Francis Journals, vol. 57(22), pages 7068-7088, November.
    8. Hussain, Rahim & Al Nasser, Amjad & Hussain, Yomna K., 2015. "Service quality and customer satisfaction of a UAE-based airline: An empirical investigation," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 167-175.
    9. Mehrdokht Pournader & Yangyan Shi & Stefan Seuring & S.C. Lenny Koh, 2020. "Blockchain applications in supply chains, transport and logistics: a systematic review of the literature," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2063-2081, April.
    10. Lai-Wan Wong & Garry Wei-Han Tan & Voon-Hsien Lee & Keng-Boon Ooi & Amrik Sohal, 2020. "Unearthing the determinants of Blockchain adoption in supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2100-2123, April.
    11. Deng, S. & Yeh, Tsung-Han, 2011. "Using least squares support vector machines for the airframe structures manufacturing cost estimation," International Journal of Production Economics, Elsevier, vol. 131(2), pages 701-708, June.
    12. Ali Vatankhah Barenji & Zhi Li & W. M. Wang & George Q. Huang & David A. Guerra-Zubiaga, 2020. "Blockchain-based ubiquitous manufacturing: a secure and reliable cyber-physical system," International Journal of Production Research, Taylor & Francis Journals, vol. 58(7), pages 2200-2221, April.
    13. Yanling Chang & Eleftherios Iakovou & Weidong Shi4, 2019. "Blockchain in Global Supply Chains and Cross Border Trade: A Critical Synthesis of the State-of-the-Art, Challenges and Opportunities," Papers 1901.02715, arXiv.org.
    14. Glenn Hoetker, 2007. "The use of logit and probit models in strategic management research: Critical issues," Strategic Management Journal, Wiley Blackwell, vol. 28(4), pages 331-343, April.
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    Cited by:

    1. Catherine Maware & David M. Parsley, 2022. "The Challenges of Lean Transformation and Implementation in the Manufacturing Sector," Sustainability, MDPI, vol. 14(10), pages 1-24, May.
    2. Zhang, Min & Sun, Lin & Wang, G. Alan & Li, Yuzhuo & He, Shuguang, 2022. "Using neutral sentiment reviews to improve customer requirement identification and product design strategies," International Journal of Production Economics, Elsevier, vol. 254(C).
    3. Tuğba Yeğin & Muhammad Ikram, 2022. "Developing a Sustainable Omnichannel Strategic Framework toward Circular Revolution: An Integrated Approach," Sustainability, MDPI, vol. 14(18), pages 1-25, September.
    4. Zhang, Qing & Jiang, Xiuqi & Zheng, Yini, 2023. "Blockchain adoption and gray markets in a global supply chain," Omega, Elsevier, vol. 115(C).
    5. Dhar, Suparna & Tarafdar, Pratik & Bose, Indranil, 2022. "Understanding the evolution of an emerging technological paradigm and its impact: The case of Digital Twin," Technological Forecasting and Social Change, Elsevier, vol. 185(C).

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