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Smart-building management system: An Internet-of-Things (IoT) application business model in Vietnam

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  • Le, Duc Nha
  • Le Tuan, Loc
  • Dang Tuan, Minh Nguyen

Abstract

The accelerating significance and prevalence of IoT (Internet-of-Things) have been recently appreciated by academicians and policy makers. The emergence of ubiquitous sensors, smart devices and broad-band Internet capacity has enabled the integration of networks for synchronous data collecting and processing, which ultimately facilitates prompt decision-making and physical responses to changes in a real-time manner. The virtual interconnectedness of humans and objects exerts managerial efficiency and emotional comfort for network operators, end users and other third party actors, which results in the embrace of IoT-based platforms in production and consumption. The skyrocketing urbanization has chronically caused dense concentration of population in buildings, which yields market prospects for smart-building management system solutions based on IoT applications. Nevertheless, IoT application business models have remained nascent in emerging and transitional economies. In this paper, the authors exploit the Business Model Canvas to assess an IoT start-up in Vietnam and to establish an output Business Model Canvas for entrepreneurs. Findings indicate high competitive advantages of local enterprises and propose vertical integration in joint ventures as the entry strategy for foreign investors.

Suggested Citation

  • Le, Duc Nha & Le Tuan, Loc & Dang Tuan, Minh Nguyen, 2019. "Smart-building management system: An Internet-of-Things (IoT) application business model in Vietnam," Technological Forecasting and Social Change, Elsevier, vol. 141(C), pages 22-35.
  • Handle: RePEc:eee:tefoso:v:141:y:2019:i:c:p:22-35
    DOI: 10.1016/j.techfore.2019.01.002
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    3. Cranmer, Eleanor E. & Papalexi, M. & tom Dieck, M. Claudia & Bamford, D., 2022. "Internet of Things: Aspiration, implementation and contribution," Journal of Business Research, Elsevier, vol. 139(C), pages 69-80.
    4. Mubarak, Muhammad Faraz & Petraite, Monika, 2020. "Industry 4.0 technologies, digital trust and technological orientation: What matters in open innovation?," Technological Forecasting and Social Change, Elsevier, vol. 161(C).
    5. Tran, Chi Phuong & Pernia, Ronald A. & Nguyen-Thanh, Nhan, 2023. "Mess or match? How do academic perspectives meet the practitioner perspectives in terms of digital transformation?," Technological Forecasting and Social Change, Elsevier, vol. 191(C).

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