IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v16y2024i12p5102-d1415545.html
   My bibliography  Save this article

Integration of Smart City Technology and Business Model Innovation

Author

Listed:
  • Zhen Liu

    (School of Design, South China University of Technology, Guangzhou 510006, China
    Digital Intelligence Enhanced Design Innovation Laboratory, Key Laboratory of Philosophy and Social Science in General Universities of Guangdong Province, Guangzhou 510006, China
    These authors contributed equally to this work.)

  • Yixin Liu

    (School of Design, South China University of Technology, Guangzhou 510006, China
    Digital Intelligence Enhanced Design Innovation Laboratory, Key Laboratory of Philosophy and Social Science in General Universities of Guangdong Province, Guangzhou 510006, China
    These authors contributed equally to this work.)

  • Mohamed Osmani

    (School of Architecture, Building and Civil Engineering, Loughborough University, Loughborough LE11 3TU, UK)

Abstract

At present, the progress of business model stages supported by a variety of technology categories may unclear, and the integration of technology application and business model innovation (BMI) is hard due to operational practices in various industries and research areas, which block the view of the integration of smart city technology (SCT) and BMI for further development. Thus, this paper aims to explore the current research on the integration of SCT and BMI and identify the current research status and hotspots, assisting in indicating the status of these technologies in the business model stages in order to determine future trends, and adopts a mixed research methodology including a macro-quantitative method based on bibliometrics and a micro-qualitative method using content analysis. The results reveal a 17-year (2007 to 2023) integration of SCT and BMI enhanced by cloud computing, big data, Internet of Things, and artificial intelligence in recent years, with the most current studies focusing on the ideation and design stages of the business model stages with an emphasis on using digital capabilities to refine, formulate, and design the corresponding business model while defining the strategy through internal and external factors. Interestingly, Industry 4.0 and digital servitization are currently the key trends.

Suggested Citation

  • Zhen Liu & Yixin Liu & Mohamed Osmani, 2024. "Integration of Smart City Technology and Business Model Innovation," Sustainability, MDPI, vol. 16(12), pages 1-30, June.
  • Handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:5102-:d:1415545
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/16/12/5102/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/16/12/5102/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sun, Yi & Jiang, Shiqing & Jia, Wanjiao & Wang, Yu, 2022. "Blockchain as a cutting-edge technology impacting business: A systematic literature review perspective," Telecommunications Policy, Elsevier, vol. 46(10).
    2. Bustinza, Oscar F. & Vendrell-Herrero, Ferran & Baines, Tim, 2017. "Service implementation in manufacturing: An organisational transformation perspective," International Journal of Production Economics, Elsevier, vol. 192(C), pages 1-8.
    3. Ewa Stawiarska & Danuta Szwajca & Mirosław Matusek & Radosław Wolniak, 2021. "Diagnosis of the Maturity Level of Implementing Industry 4.0 Solutions in Selected Functional Areas of Management of Automotive Companies in Poland," Sustainability, MDPI, vol. 13(9), pages 1-38, April.
    4. Andreas Eigner & Christian Stary, 2023. "The Role of Internet-of-Things for Service Transformation," SAGE Open, , vol. 13(1), pages 21582440231, March.
    5. Mariani, Marcello M. & Machado, Isa & Magrelli, Vittoria & Dwivedi, Yogesh K., 2023. "Artificial intelligence in innovation research: A systematic review, conceptual framework, and future research directions," Technovation, Elsevier, vol. 122(C).
    6. Janssen, Marijn & van der Voort, Haiko & Wahyudi, Agung, 2017. "Factors influencing big data decision-making quality," Journal of Business Research, Elsevier, vol. 70(C), pages 338-345.
    7. Denicolai, Stefano & Previtali, Pietro, 2020. "Precision Medicine: Implications for value chains and business models in life sciences," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    8. Ramakrishnan Ramanathan & Yanqing Duan & Tahmina Ajmal & Katarzyna Pelc & James Gillespie & Sahar Ahmadzadeh & Joan Condell & Imke Hermens & Usha Ramanathan, 2023. "Motivations and Challenges for Food Companies in Using IoT Sensors for Reducing Food Waste: Some Insights and a Road Map for the Future," Sustainability, MDPI, vol. 15(2), pages 1-21, January.
    9. Bingqin Dai & Wenquan Liang, 2022. "The Impact of Big Data Technical Skills on Novel Business Model Innovation Based on the Role of Resource Integration and Environmental Uncertainty," Sustainability, MDPI, vol. 14(5), pages 1-16, February.
    10. Verhoef, Peter C. & Broekhuizen, Thijs & Bart, Yakov & Bhattacharya, Abhi & Qi Dong, John & Fabian, Nicolai & Haenlein, Michael, 2021. "Digital transformation: A multidisciplinary reflection and research agenda," Journal of Business Research, Elsevier, vol. 122(C), pages 889-901.
    11. Aleksandra Kuzior & Mariya Sira & Paulina Brożek, 2023. "Use of Artificial Intelligence in Terms of Open Innovation Process and Management," Sustainability, MDPI, vol. 15(9), pages 1-16, April.
    12. Linlin Zheng & Yashi Dong & Jineng Chen & Yuyi Li & Wenzhuo Li & Miaolian Su, 2022. "Impact of Crisis on Sustainable Business Model Innovation—The Role of Technology Innovation," Sustainability, MDPI, vol. 14(18), pages 1-28, September.
    13. Mariani, Marcello M. & Machado, Isa & Nambisan, Satish, 2023. "Types of innovation and artificial intelligence: A systematic quantitative literature review and research agenda," Journal of Business Research, Elsevier, vol. 155(PB).
    14. Barbara Brenner, 2018. "Transformative Sustainable Business Models in the Light of the Digital Imperative—A Global Business Economics Perspective," Sustainability, MDPI, vol. 10(12), pages 1-25, November.
    15. Michael A. Cusumano & Steven J. Kahl & Fernando F. Suarez, 2015. "Services, industry evolution, and the competitive strategies of product firms," Strategic Management Journal, Wiley Blackwell, vol. 36(4), pages 559-575, April.
    16. Payam Hanafizadeh & Parastou Hatami & Morteza Analoui & Amir Albadvi, 2021. "Business model innovation driven by the internet of things technology, in internet service providers’ business context," Information Systems and e-Business Management, Springer, vol. 19(4), pages 1175-1243, December.
    17. Thed van Leeuwen, 2006. "The application of bibliometric analyses in the evaluation of social science research. Who benefits from it, and why it is still feasible," Scientometrics, Springer;Akadémiai Kiadó, vol. 66(1), pages 133-154, January.
    18. Kohtamäki, Marko & Parida, Vinit & Oghazi, Pejvak & Gebauer, Heiko & Baines, Tim, 2019. "Digital servitization business models in ecosystems: A theory of the firm," Journal of Business Research, Elsevier, vol. 104(C), pages 380-392.
    19. Michael Sturm & Jörg Weking & Markus Böhm & Maximilian Schreieck & Helmut Krcmar, 2023. "How two leading partners learn to tango: The case of IoT-based business model co-innovation between a retailer and an electronics supplier," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-17, December.
    20. Thomson, Linus & Sjödin, David & Parida, Vinit & Jovanovic, Marin, 2023. "Conceptualizing business model piloting: An experiential learning process for autonomous solutions," Technovation, Elsevier, vol. 126(C).
    21. Mintak Han & Jeonghwan Jeon, 2023. "Roadmap Incorporating Data Management Perspective for Platform Business Model Innovation," Sustainability, MDPI, vol. 15(4), pages 1-19, February.
    22. Trabucchi, Daniel & Patrucco, Andrea S. & Buganza, Tommaso & Marzi, Giacomo, 2023. "Is transparency the new green? How business model transparency influences digital service adoption," Technovation, Elsevier, vol. 126(C).
    23. Zhaozhi Wang & Shoufu Lin & Yang Chen & Oleksii Lyulyov & Tetyana Pimonenko, 2023. "Digitalization Effect on Business Performance: Role of Business Model Innovation," Sustainability, MDPI, vol. 15(11), pages 1-19, June.
    24. Saeed Nosratabadi & Amirhosein Mosavi & Zoltan Lakner, 2020. "Food Supply Chain and Business Model Innovation," Papers 2001.03982, arXiv.org.
    25. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
    26. Giulia Goffetti & Daniel Böckin & Henrikke Baumann & Anne‐Marie Tillman & Thomas Zobel, 2022. "Towards sustainable business models with a novel life cycle assessment method," Business Strategy and the Environment, Wiley Blackwell, vol. 31(5), pages 2019-2035, July.
    27. Hua Zhang & Shaofeng Yuan, 2023. "How and When Does Big Data Analytics Capability Boost Innovation Performance?," Sustainability, MDPI, vol. 15(5), pages 1-19, February.
    28. Gaspare D’Amico & Roberta Arbolino & Lei Shi & Tan Yigitcanlar & Giuseppe Ioppolo, 2021. "Digital Technologies for Urban Metabolism Efficiency: Lessons from Urban Agenda Partnership on Circular Economy," Sustainability, MDPI, vol. 13(11), pages 1-23, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ancillai, Chiara & Sabatini, Andrea & Gatti, Marco & Perna, Andrea, 2023. "Digital technology and business model innovation: A systematic literature review and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    2. Khaled Naser Yousef Magableh & Selvi Kannan & Aladeen Yousef Rashid Hmoud, 2024. "Innovation Business Model: Adoption of Blockchain Technology and Big Data Analytics," Sustainability, MDPI, vol. 16(14), pages 1-25, July.
    3. Khanra, Sayantan & Dhir, Amandeep & Parida, Vinit & Kohtamäki, Marko, 2021. "Servitization research: A review and bibliometric analysis of past achievements and future promises," Journal of Business Research, Elsevier, vol. 131(C), pages 151-166.
    4. Muhammad Zafar Yaqub & Abdullah Alsabban, 2023. "Industry-4.0-Enabled Digital Transformation: Prospects, Instruments, Challenges, and Implications for Business Strategies," Sustainability, MDPI, vol. 15(11), pages 1-33, May.
    5. Junru Chen & Lei Shen, 2024. "A Synthetic Review on Enterprise Digital Transformation: A Bibliometric Analysis," Sustainability, MDPI, vol. 16(5), pages 1-20, February.
    6. Piepponen, Amanda & Ritala, Paavo & Keränen, Joona & Maijanen, Päivi, 2022. "Digital transformation of the value proposition: A single case study in the media industry," Journal of Business Research, Elsevier, vol. 150(C), pages 311-325.
    7. Bustinza, Oscar F. & Opazo-Basaez, Marco & Tarba, Shlomo, 2022. "Exploring the interplay between Smart Manufacturing and KIBS firms in configuring product-service innovation performance," Technovation, Elsevier, vol. 118(C).
    8. Li, Longda, 2024. "The environmental spillovers of buyers' digital transformation: Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 209(C).
    9. Marie-Anne Le-Dain & Lamiae Benhayoun & Judy Matthews & Marine Liard, 2023. "Barriers and opportunities of digital servitization for SMEs: the effect of smart Product-Service System business models," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 359-393, March.
    10. Marko Kohtamäki & Stephan C. Henneberg & Veronica Martinez & Koji Kimita & Heiko Gebauer, 2019. "A Configurational Approach to Servitization: Review and Research Directions," Service Science, INFORMS, vol. 11(3), pages 213-240, October.
    11. Querci, Ilaria & Monsurrò, Luigi & Peverini, Paolo, 2024. "When anthropomorphism backfires: Anticipation of negative social roles as a source of resistance to smart object adoption," Technovation, Elsevier, vol. 132(C).
    12. Hu, Bo & Zhou, P. & Zhang, L.P., 2022. "A digital business model for accelerating distributed renewable energy expansion in rural China," Applied Energy, Elsevier, vol. 316(C).
    13. Raffaella Tabacco & Maria Chiarvesio & Rubina Romanello, 2024. "Exploring the crossroads between digital servitization and sustainability from a business marketing perspective," Italian Journal of Marketing, Springer, vol. 2024(2), pages 225-243, June.
    14. Huikkola, Tuomas & Kohtamäki, Marko & Rabetino, Rodrigo & Makkonen, Hannu & Holtkamp, Philipp, 2022. "Overcoming the challenges of smart solution development: Co-alignment of processes, routines, and practices to manage product, service, and software integration," Technovation, Elsevier, vol. 118(C).
    15. Tahi, Sofiane & Khlif, Wafa & Belghoul, Khaled & Casadella, Vanessa, 2022. "Public-private innovation networks in services: Revisiting PPPs with servitization," Technovation, Elsevier, vol. 118(C).
    16. Laurențiu-Stelian Mihai & Valeri Viorel Sitnikov & Mirela Sichigea & Laura Vasilescu & Anca Băndoi & Cătălina Sitnikov & Leonardo-Geo Mănescu, 2025. "A Bibliometric Analysis of the Role of Digitalization in Achieving Sustainability-Oriented Innovation," Sustainability, MDPI, vol. 17(13), pages 1-33, June.
    17. Li, Zhijun & Zhang, Runze & Li, Qingyi & Wang, Yuchen, 2025. "How does a closed social network facilitate the impact of blockchain on corporate digital innovation performance?," Journal of Business Research, Elsevier, vol. 191(C).
    18. Vendrell-Herrero, Ferran & Gomes, Emanuel & Bustinza, Oscar F. & Mellahi, Kamel, 2018. "Uncovering the role of cross-border strategic alliances and expertise decision centralization in enhancing product-service innovation in MMNEs," International Business Review, Elsevier, vol. 27(4), pages 814-825.
    19. Truant, Elisa & Broccardo, Laura & Dana, Léo-Paul, 2021. "Digitalisation boosts company performance: an overview of Italian listed companies," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    20. Ziqian Peng & Haiyang Zhang & Peng Zhou & Junlin Ren & Yanbai Chen, 2025. "Enterprise digital transformation and inefficient investment: from the perspective of diversified operations and environmental uncertainty," Humanities and Social Sciences Communications, Palgrave Macmillan, vol. 12(1), pages 1-16, December.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:16:y:2024:i:12:p:5102-:d:1415545. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.