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Determinants of smartwatch adoption among IT professionals - an extended UTAUT2 model for smartwatch enterprise

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  • A.K. Kranthi
  • K.A. Asraar Ahmed

Abstract

Smartwatches these days have gained popularity under wearable device category. Consumers of smartwatches consider several factors while choosing smartwatches. On this premise, the current research is undertaken to identify the determinants of the smartwatch adoption. In order to arrive at this objective, the study has employed unified theory of acceptance and use of technology 2 (UTAUT2) model as a means and underpinning framework. To suit context, the present study has extended UTAUT2 model by incorporating self-efficacy (SEF), personal innovativeness (PINNO), social media influence (SMI), social image (SIMG), aesthetics (AES) and external social influence (ESI). To validate and check the explanatory power of the extended UTAUT2 model the study has considered Structural equation modelling using Smart PLS 2.0.The results arrived in this study has concluded that the extended UTAUT2 model has a better explanatory power on behavioural intention towards smartwatch adoption. Effect size (f2) and predictive relevance (Q2) for the extended UTAUT2 model are also discussed.

Suggested Citation

  • A.K. Kranthi & K.A. Asraar Ahmed, 2018. "Determinants of smartwatch adoption among IT professionals - an extended UTAUT2 model for smartwatch enterprise," International Journal of Enterprise Network Management, Inderscience Enterprises Ltd, vol. 9(3/4), pages 294-316.
    • Handle: RePEc:ids:ijenma:v:9:y:2018:i:3/4:p:294-316
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    Cited by:

    1. Luiz Philipi Calegari & Guilherme Luz Tortorella & Diego Castro Fettermann, 2023. "Getting Connected to M-Health Technologies through a Meta-Analysis," IJERPH, MDPI, vol. 20(5), pages 1-33, February.

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