IDEAS home Printed from https://ideas.repec.org/p/zbw/itse19/205220.html
   My bibliography  Save this paper

Evaluating SMEs Readiness to Transform to IoT-Based Business Models

Author

Listed:
  • Vitkauskaitė, Elena
  • Varaniūtė, Viktorija
  • Bouwman, Harry

Abstract

The connection of devices, as enabled by the Internet of Things (IoT), has a significant impact on business activities, processes, and performance. IoT is, therefore, gaining attention from practitioners and academia. The deployment of technological innovations is inseparable from changes in business activities, and therefore also affects business models (BMs) of both large corporations as well as small and medium-sized enterprises (SMEs). Both face challenges on transformations to their business models due to the use of IoT solutions, although these changes might be different for both. Extant literature on IoT-based business models mainly focuses on transformations in large companies. Since SMEs play an important role in the market's value creation, it is particularly important to understand SMEs business model transformations, caused by IoT. Research on this topic is limited and faces many theoretical and methodological challenges. Therefore, this paper proposes a mixed method approach to study SMEs readiness to transform business models as a result of implementing IoT solutions. Based on a systematic literature review, and a pilot study (by using a case of one SME in Lithuania), we developed a mixed method research design in which input-output relation between case studies for theory formulation as well as theory testing are proposed.

Suggested Citation

  • Vitkauskaitė, Elena & Varaniūtė, Viktorija & Bouwman, Harry, 2019. "Evaluating SMEs Readiness to Transform to IoT-Based Business Models," 30th European Regional ITS Conference, Helsinki 2019 205220, International Telecommunications Society (ITS).
  • Handle: RePEc:zbw:itse19:205220
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/205220/1/Vitkauskaite-et-al.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Alexandre Moeuf & Robert Pellerin & Samir Lamouri & Simon Tamayo-Giraldo & Rodolphe Barbaray, 2018. "The industrial management of SMEs in the era of Industry 4.0," International Journal of Production Research, Taylor & Francis Journals, vol. 56(3), pages 1118-1136, February.
    2. Felix Wortmann & Kristina Flüchter, 2015. "Internet of Things," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 57(3), pages 221-224, June.
    3. Mario Kleindienst & Christian Ramsauer, 2016. "SMEs and Industry 4.0 - Introducing a KPI based Procedure Model to identify Focus Areas in Manufacturing Industry," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 2(2), pages 109-122, April.
    4. Jan F. Tesch & Anne-Sophie Brillinger & Dominik Bilgeri, 2017. "Internet Of Things Business Model Innovation And The Stage-Gate Process: An Exploratory Analysis," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(05), pages 1-19, June.
    5. Christian Arnold, 2017. "The Industrial Internet of Things from a Management Perspective: A Systematic Review of Current Literature," Journal of Emerging Trends in Marketing and Management, The Bucharest University of Economic Studies, vol. 1(1), pages 8-21, October.
    6. Kiel, Daniel & Arnold, Christian & Voigt, Kai-Ingo, 2017. "The influence of the Industrial Internet of Things on business models of established manufacturing companies – A business level perspective," Technovation, Elsevier, vol. 68(C), pages 4-19.
    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. Daniel Kiel & Julian M. Müller & Christian Arnold & Kai-Ingo Voigt, 2017. "Sustainable Industrial Value Creation: Benefits And Challenges Of Industry 4.0," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(08), pages 1-34, December.
    3. 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.
    4. Daniela Andreini & Cristina Bettinelli & Nicolai J. Foss & Marco Mismetti, 2022. "Business model innovation: a review of the process-based literature," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 26(4), pages 1089-1121, December.
    5. Gillani, Fatima & Chatha, Kamran Ali & Sadiq Jajja, Muhammad Shakeel & Farooq, Sami, 2020. "Implementation of digital manufacturing technologies: Antecedents and consequences," International Journal of Production Economics, Elsevier, vol. 229(C).
    6. Mosterd, Lars & Sobota, Vladimir C.M. & van de Kaa, Geerten & Ding, Aaron Yi & de Reuver, Mark, 2021. "Context dependent trade-offs around platform-to-platform openness: The case of the Internet of Things," Technovation, Elsevier, vol. 108(C).
    7. Andreea-Diana Suciu (Vodă) & Andra Ioana Maria Tudor & Ioana Bianca Chițu & Lavinia Dovleac & Gabriel Brătucu, 2021. "IoT Technologies as Instruments for SMEs’ Innovation and Sustainable Growth," Sustainability, MDPI, vol. 13(11), pages 1-17, June.
    8. Calabrese, Armando & Costa, Roberta & Tiburzi, Luigi & Brem, Alexander, 2023. "Merging two revolutions: A human-artificial intelligence method to study how sustainability and Industry 4.0 are intertwined," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    9. Anne-Sophie Brillinger, 2018. "Mapping Business Model Risk Factors," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 22(05), pages 1-29, June.
    10. Delgosha, Mohammad Soltani & Hajiheydari, Nastaran & Talafidaryani, Mojtaba, 2022. "Discovering IoT implications in business and management: A computational thematic analysis," Technovation, Elsevier, vol. 118(C).
    11. Shao, Xue-Feng & Liu, Wei & Li, Yi & Chaudhry, Hassan Rauf & Yue, Xiao-Guang, 2021. "Multistage implementation framework for smart supply chain management under industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 162(C).
    12. von Delft, Stephan & Zhao, Yang, 2021. "Business models in process industries: Emerging trends and future research," Technovation, Elsevier, vol. 105(C).
    13. Mariani, Marcello & Borghi, Matteo, 2019. "Industry 4.0: A bibliometric review of its managerial intellectual structure and potential evolution in the service industries," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
    14. Sorri, Krista & Mustafee, Navonil & Seppänen, Marko, 2022. "Revisiting IoT definitions: A framework towards comprehensive use," Technological Forecasting and Social Change, Elsevier, vol. 179(C).
    15. Ricci, Riccardo & Battaglia, Daniele & Neirotti, Paolo, 2021. "External knowledge search, opportunity recognition and industry 4.0 adoption in SMEs," International Journal of Production Economics, Elsevier, vol. 240(C).
    16. Kashif Zia & Muhammad Shafi & Umar Farooq, 2020. "Improving Recommendation Accuracy Using Social Network of Owners in Social Internet of Vehicles," Future Internet, MDPI, vol. 12(4), pages 1-15, April.
    17. 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.
    18. Sony, Michael & Naik, Subhash, 2020. "Industry 4.0 integration with socio-technical systems theory: A systematic review and proposed theoretical model," Technology in Society, Elsevier, vol. 61(C).
    19. Marietheres Dietz & Günther Pernul, 2020. "Digital Twin: Empowering Enterprises Towards a System-of-Systems Approach," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(2), pages 179-184, April.
    20. Zahoor, Nadia & Zopiatis, Anastasios & Adomako, Samuel & Lamprinakos, Grigorios, 2023. "The micro-foundations of digitally transforming SMEs: How digital literacy and technology interact with managerial attributes," Journal of Business Research, Elsevier, vol. 159(C).

    More about this item

    Keywords

    Internet of Things; Business Model; IoT; SME; mixed-method research;
    All these keywords.

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:zbw:itse19:205220. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: http://www.itseurope.org/ .

    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.