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Equipment Maintenance Business Model Innovation for Sustainable Competitive Advantage in the Digitalization Context: Connotation, Types, and Measuring

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  • Juhong Chen

    (School of Economics and Management, Xi’an University of Technology, Xi’an 710048, China)

  • Ruijun Zhang

    (School of Economics and Management, Xi’an University of Technology, Xi’an 710048, China)

  • Di Wu

    (School of Economics and Management, Xi’an University of Technology, Xi’an 710048, China)

Abstract

The equipment maintenance services have become a new profit center and an important way to gain sustainable competitive advantage for manufacturing enterprises. The business model is an important tool for manufacturing enterprises to derive economic benefits from sustainable competitive advantage in the context of digitalization technologies, such as IoT, big data, and cloud computing. At present, the concept of equipment maintenance business model innovation is still vague, and it is rare to report on the innovation behaviors and types of equipment maintenance business models adopted by manufacturing enterprises. Based on literature analysis of equipment maintenance services and business model innovation, following business model gestalt theory, the concept of equipment maintenance business model innovation is analyzed at the business-level, the types are divided into novel and efficient following value sources—“innovation and efficiency”. The initial scale is developed through literature investigation, semi-structured interviews and expert reviews, and tested by exploratory and confirmatory factor analysis by using the data of two independent large-sample questionnaires. The results indicate that the behavior and types of equipment maintenance business model innovation can be described by two types and 19 items.

Suggested Citation

  • Juhong Chen & Ruijun Zhang & Di Wu, 2018. "Equipment Maintenance Business Model Innovation for Sustainable Competitive Advantage in the Digitalization Context: Connotation, Types, and Measuring," Sustainability, MDPI, vol. 10(11), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:3970-:d:179427
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    References listed on IDEAS

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    2. Małgorzata Jasiulewicz-Kaczmarek & Katarzyna Antosz & Ryszard Wyczółkowski & Dariusz Mazurkiewicz & Bo Sun & Cheng Qian & Yi Ren, 2021. "Application of MICMAC, Fuzzy AHP, and Fuzzy TOPSIS for Evaluation of the Maintenance Factors Affecting Sustainable Manufacturing," Energies, MDPI, vol. 14(5), pages 1-30, March.
    3. Peter M. Bican & Alexander Brem, 2020. "Digital Business Model, Digital Transformation, Digital Entrepreneurship: Is There A Sustainable “Digital”?," Sustainability, MDPI, vol. 12(13), pages 1-15, June.
    4. Mohammad Soltani Delgosha & Tahereh Saheb & Nastaran Hajiheydari, 2021. "Modelling the Asymmetrical Relationships between Digitalisation and Sustainable Competitiveness: A Cross-Country Configurational Analysis," Information Systems Frontiers, Springer, vol. 23(5), pages 1317-1337, September.
    5. Minkyu Kwon & Jihwan Lee & Yoo S. Hong, 2019. "Product-Service System Business Modelling Methodology Using Morphological Analysis," Sustainability, MDPI, vol. 11(5), pages 1-16, March.
    6. Mercedes Grijalvo Martín & Antonia Pacios Álvarez & Joaquín Ordieres-Meré & Javier Villalba-Díez & Gustavo Morales-Alonso, 2020. "New Business Models from Prescriptive Maintenance Strategies Aligned with Sustainable Development Goals," Sustainability, MDPI, vol. 13(1), pages 1-26, December.
    7. Zahid Yousaf & Magdalena Radulescu & Crenguta Ileana Sinisi & Luminita Serbanescu & Loredana Maria Păunescu, 2021. "Towards Sustainable Digital Innovation of SMEs from the Developing Countries in the Context of the Digital Economy and Frugal Environment," Sustainability, MDPI, vol. 13(10), pages 1-28, May.
    8. Young Won Park & Paul Hong, 2022. "A Research Framework for Sustainable Digital Innovation: Case Studies of Japanese Firms," Sustainability, MDPI, vol. 14(15), pages 1-13, July.
    9. Grijalvo, Mercedes & García-Wang, Carmen, 2023. "Sustainable business model for climate finance. Key drivers for the commercial banking sector," Journal of Business Research, Elsevier, vol. 155(PB).
    10. Bahoo, Salman & Cucculelli, Marco & Qamar, Dawood, 2023. "Artificial intelligence and corporate innovation: A review and research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
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