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Innovation and imitation effects in Metaverse service adoption

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  • Sang-Gun Lee
  • Silvana Trimi
  • Won Byun
  • Mincheol Kang

Abstract

This study examines the innovation and imitation effects in Metaverse service adoption. “Metaverse services” is a collective term for services such as Augmented reality, Life logging, Mirror world, and Virtual world. Among them, Twitter, Google, iPhone, and Secondlife (T.G.I.S) are the most popular services/products these days. To measure the adoption of these product/services, the most commonly used are IP traffic and iPhone sales. Thus, in this study, we measured adoption by measuring changes in the IP traffic volume of Twitter.com , Maps.Google.com , Secondlife.com , and sales for iPhone during a 2-year period (from the first quarter of 2008 to the fourth quarter of 2009). To analyze this time series data to reveal the innovation and imitation effect, we employed the Bass model. The results showed that each of these services yields different innovation and imitation coefficient values. Imitation effects for all Metaverse services are greater than innovation effects, and Secondlife’s innovation effects are larger than others. Also, iPhone sales, as a measurement for information and communication technology (ICT) products, showed greater innovation effects than the other services. Implications are drawn to explain these differences, such as, Googlemap’s imitation effects are based on network externalities, while Twitter’s imitation effects are caused by the interactions of individuals; iPhone sales’ innovation effects are explained by the timing of the measurement. Copyright Springer-Verlag 2011

Suggested Citation

  • Sang-Gun Lee & Silvana Trimi & Won Byun & Mincheol Kang, 2011. "Innovation and imitation effects in Metaverse service adoption," Service Business, Springer;Pan-Pacific Business Association, vol. 5(2), pages 155-172, June.
    • Handle: RePEc:spr:svcbiz:v:5:y:2011:i:2:p:155-172
    DOI: 10.1007/s11628-011-0108-8
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    Cited by:

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    4. Gioacchino Fazio & Stefano Fricano & Claudio Pirrone, 2024. "Evolutionary Game Dynamics Applied to Strategic Adoption of Immersive Technologies in Cultural Heritage and Tourism," Papers 2409.06720, arXiv.org.
    5. Lim, Weng Marc & Kumar, Satish & Donthu, Naveen, 2024. "How to combine and clean bibliometric data and use bibliometric tools synergistically: Guidelines using metaverse research," Journal of Business Research, Elsevier, vol. 182(C).
    6. Bo-Seong Yun & Sang-Gun Lee & Yaichi Aoshima, 2019. "An analysis of the trilemma phenomenon for Apple iPhone and Samsung Galaxy," Service Business, Springer;Pan-Pacific Business Association, vol. 13(4), pages 779-812, December.
    7. Eui-Bang Lee & Heon Baek, 2024. "Prediction of Information Diffusion of New Products: Based on Product Launch and Media Difference," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(2), pages 6802-6831, June.
    8. Chen, Ping-Kuo & Ye, Yong & Wen, Ming-Hui, 2023. "Efficiency of metaverse on the improvement of the green procurement policy of semiconductor supply chain – based on behaviour perspective," Resources Policy, Elsevier, vol. 86(PA).

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