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From traditional wristwatch to smartwatch: Understanding the relationship between innovation attributes, switching costs and consumers' switching intention

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  • Bölen, Mehmet Cem

Abstract

Smartwatches are one of the most disruptive innovations of the past decade. However, these hi-tech gadgets fail to attract interest in the same way as smartphones, or tablet PCs. Despite optimistic market growth forecasts, smartwatches have not taken the place of traditional wristwatches until today, and the number of people who use traditional wristwatches outnumbered those who use smartwatches. This study is thus motivated to examine the factors that affect traditional wristwatch users' intentions to switch to smartwatches. Based on the Diffusion of Innovations Theory, a research model was developed involving perceived product lifetime, financial switching costs, and procedural switching costs. The proposed model was then empirically evaluated using survey data collected from 234 actual traditional wristwatch users about their perception of switching intentions to smartwatches. The findings revealed that relative advantage and financial switching costs significantly influence traditional wristwatch users’ behavioral intentions to switch to smartwatches. Furthermore, financial switching costs mediated the effects of relative advantage and perceived product lifetime on the switching intention. Surprisingly, perceived product lifetime, complexity, and procedural switching costs do not have direct impacts on switching intention.

Suggested Citation

  • Bölen, Mehmet Cem, 2020. "From traditional wristwatch to smartwatch: Understanding the relationship between innovation attributes, switching costs and consumers' switching intention," Technology in Society, Elsevier, vol. 63(C).
  • Handle: RePEc:eee:teinso:v:63:y:2020:i:c:s0160791x20305716
    DOI: 10.1016/j.techsoc.2020.101439
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    1. Ritu Agarwal & Jayesh Prasad, 1998. "A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology," Information Systems Research, INFORMS, vol. 9(2), pages 204-215, June.
    2. Chen Ye & DongBack Seo & Kevin C. Desouza & Sridhar Papagari Sangareddy & Sanjeev Jha, 2008. "Influences of IT substitutes and user experience on post‐adoption user switching: An empirical investigation," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 59(13), pages 2115-2132, November.
    3. Park, Yuri & Koo, Yoonmo, 2016. "An empirical analysis of switching cost in the smartphone market in South Korea," Telecommunications Policy, Elsevier, vol. 40(4), pages 307-318.
    4. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    5. Eric Brouillat, 2015. "Live fast, die young? Investigating product life spans and obsolescence in an agent-based model," Journal of Evolutionary Economics, Springer, vol. 25(2), pages 447-473, April.
    6. Kawaljeet Kaur Kapoor & Yogesh K. Dwivedi & Michael D. Williams, 2015. "Examining the role of three sets of innovation attributes for determining adoption of the interbank mobile payment service," Information Systems Frontiers, Springer, vol. 17(5), pages 1039-1056, October.
    7. Nascimento, Bruno & Oliveira, Tiago & Tam, Carlos, 2018. "Wearable technology: What explains continuance intention in smartwatches?," Journal of Retailing and Consumer Services, Elsevier, vol. 43(C), pages 157-169.
    8. Gan, Shu San & Pujawan, I. Nyoman & Suparno, & Widodo, Basuki, 2015. "Pricing decision model for new and remanufactured short-life cycle products with time-dependent demand," Operations Research Perspectives, Elsevier, vol. 2(C), pages 1-12.
    9. Wirtz, Jochen & Xiao, Ping & Chiang, Jeongwen & Malhotra, Naresh, 2014. "Contrasting the Drivers of Switching Intent and Switching Behavior in Contractual Service Settings," Journal of Retailing, Elsevier, vol. 90(4), pages 463-480.
    10. Blut, Markus & Frennea, Carly M. & Mittal, Vikas & Mothersbaugh, David L., 2015. "How procedural, financial and relational switching costs affect customer satisfaction, repurchase intentions, and repurchase behavior: A meta-analysis," International Journal of Research in Marketing, Elsevier, vol. 32(2), pages 226-229.
    11. Lebreton, Baptiste & Tuma, Axel, 2006. "A quantitative approach to assessing the profitability of car and truck tire remanufacturing," International Journal of Production Economics, Elsevier, vol. 104(2), pages 639-652, December.
    12. Marcel C. Hollander & Conny A. Bakker & Erik Jan Hultink, 2017. "Product Design in a Circular Economy: Development of a Typology of Key Concepts and Terms," Journal of Industrial Ecology, Yale University, vol. 21(3), pages 517-525, June.
    13. Matemba, Elizabeth D. & Li, Guoxin, 2018. "Consumers' willingness to adopt and use WeChat wallet: An empirical study in South Africa," Technology in Society, Elsevier, vol. 53(C), pages 55-68.
    14. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    15. Riikonen, Antti & Smura, Timo & Töyli, Juuso, 2016. "The effects of price, popularity, and technological sophistication on mobile handset replacement and unit lifetime," Technological Forecasting and Social Change, Elsevier, vol. 103(C), pages 313-323.
    16. Reinhardt, Ronny & Gurtner, Sebastian, 2015. "Differences between early adopters of disruptive and sustaining innovations," Journal of Business Research, Elsevier, vol. 68(1), pages 137-145.
    17. Chuang, Yi-Fei, 2011. "Pull-and-suck effects in Taiwan mobile phone subscribers switching intentions," Telecommunications Policy, Elsevier, vol. 35(2), pages 128-140, March.
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