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Is Sociability or Interactivity more Effective for Enhancing Performance? Findings from a Massively Multiplayer Online Role-Playing Game

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  • Wang, Dianwen
  • Yang, Zhilin
  • Ding, Zhihua

Abstract

The essential issue currently challenging marketing managers in the virtual world is: How can a virtual world feature be designed to elevate consumers' purchase of virtual items and usage in the virtual world? Previous scholars have investigated the issue and have published their predictions on the individual level. Yet, they have done so without specifically addressing endogeneity or carryover effect among users and their activities. To alleviate this omission and potential methodological bias, we probe the impact of virtual world technological features on two performance criteria at the platform level. In addition, we differentiate two types of users (new vs returning users) and probe their distinct impact on purchase of virtual items and usage patterns in the virtual world. When using data from one virtual world and applying the vector auto regression model, results show that virtual world managers can elevate performance through promotion of both types of users' activities. The effects of these activities, however, are varied. Specifically, for returning users, interactivity leads to a more significant impact on consumers' purchase of virtual goods than sociability, while the opposite effect is applicable to usage in the virtual world. For new users, interactivity is more efficient for promotion of users' purchase of virtual goods than sociability, while the results are the opposite for usage in the virtual world.

Suggested Citation

  • Wang, Dianwen & Yang, Zhilin & Ding, Zhihua, 2019. "Is Sociability or Interactivity more Effective for Enhancing Performance? Findings from a Massively Multiplayer Online Role-Playing Game," Journal of Interactive Marketing, Elsevier, vol. 48(C), pages 106-119.
  • Handle: RePEc:eee:joinma:v:48:y:2019:i:c:p:106-119
    DOI: 10.1016/j.intmar.2019.06.002
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    References listed on IDEAS

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    Cited by:

    1. Shi, Xiaoxiao & Evans, Richard & Shan, Wei, 2022. "Solver engagement in online crowdsourcing communities: The roles of perceived interactivity, relationship quality and psychological ownership," Technological Forecasting and Social Change, Elsevier, vol. 175(C).

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