Exploring gamers' crowdsourcing engagement in Pokémon Go communities

Author:

Sharma ShavneetORCID,Slack NealeORCID,Devi KritikaORCID,Greig TumaORCID,Naidu SamanthaORCID

Abstract

PurposeWith the increasing popularity of online games like Pokémon Go, a new wave of crowdsourcing communities have emerged, allowing gamers to collaborate, communicate and share useful game-related information. This paper aims to examine the factors that influence gamers' crowdsourcing behaviour.Design/methodology/approachA conceptual framework is developed that combines the DeLone & McLean model, self-determination theory, and different levels of engagement behaviour. The online survey collected 371 responses that were analysed using Covariance Based Structural Equation Modelling (CB-SEM).FindingsThe results show that extrinsic and intrinsic motivation positively influenced gamers' crowdsourcing engagement intention. System quality and information quality were also confirmed to be positively associated with gamers' crowdsourcing engagement intention. Furthermore, crowdsourcing engagement intention was found to be positively associated with crowdsourcing content consumption, contribution, and creation.Practical implicationsThe findings of this study are useful for the owners of Pokémon Go and other gaming-related crowdsourcing platforms in devising tailored strategies to increase the crowdsourcing engagement of gamers.Originality/valueThis study provides the first empirical evidence of factors motivating online gamers' crowdsourcing intention. This study also presents novel insight into online gamers' crowdsourcing intention by combining diverse theories which offer different perspectives and a more comprehensive understanding of the phenomenon. Contribution to the research on the intention-behaviour gap by modelling three behavioural outcomes (content creation, contribution, and consumption behaviour) of crowdsourcing engagement intention, is another important contribution of this study.

Publisher

Emerald

Subject

Strategy and Management,General Business, Management and Accounting,Business and International Management,General Decision Sciences

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3