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Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach

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  • Mital, Monika
  • Chang, Victor
  • Choudhary, Praveen
  • Papa, Armando
  • Pani, Ashis K.

Abstract

Internet of Things based applications for smart homes, wearable health devices, and smart cities are in the evolutionary stage in India. Adoption of Internet of Things is still limited to a few application areas. In developing countries, the usefulness of IOT's adoption is recognized as a key factor for economic and social development of a country by both academicians and practitioners as well. Currently, there are still very few studies that explore the adoption of Internet of Things from a multiple theory perspective, namely, The Theory of Reasoned Action (TRA), The Theory of Planned Behaviour (TPB) and The Technology Acceptance Model (TAM). This research aims to satisfy a clear gap in the main field of research by proposing a Structured Equation Model (SEM) approach to test three competing models in the context of Internet of Things in India. With respect to previous literature, this research sets the stage for extensive research in a broad domain of application areas for the Internet of Things, like healthcare, elderly well- being and support, smart cities and smart supply chains etc.

Suggested Citation

  • Mital, Monika & Chang, Victor & Choudhary, Praveen & Papa, Armando & Pani, Ashis K., 2018. "Adoption of Internet of Things in India: A test of competing models using a structured equation modeling approach," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 339-346.
  • Handle: RePEc:eee:tefoso:v:136:y:2018:i:c:p:339-346
    DOI: 10.1016/j.techfore.2017.03.001
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    References listed on IDEAS

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    Cited by:

    1. Culot, Giovanna & Orzes, Guido & Sartor, Marco & Nassimbeni, Guido, 2020. "The future of manufacturing: A Delphi-based scenario analysis on Industry 4.0," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    2. Si Ying Tan & Araz Taeihagh, 2020. "Smart City Governance in Developing Countries: A Systematic Literature Review," Sustainability, MDPI, Open Access Journal, vol. 12(3), pages 1-29, January.
    3. Yang, Xiaoping & Cao, Dongmei & Andrikopoulos, Panagiotis & Yang, Zonghan & Bass, Tina, 2020. "Online social networks, media supervision and investment efficiency: An empirical examination of Chinese listed firms," Technological Forecasting and Social Change, Elsevier, vol. 154(C).
    4. Won, Jeong Yeon & Park, Min Jae, 2020. "Smart factory adoption in small and medium-sized enterprises: Empirical evidence of manufacturing industry in Korea," Technological Forecasting and Social Change, Elsevier, vol. 157(C).
    5. Ahn, Sang-Jin, 2020. "Three characteristics of technology competition by IoT-driven digitization," Technological Forecasting and Social Change, Elsevier, vol. 157(C).

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