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.
The purpose of this paper is to highlight the bene¯ts of using Marketing Information System (MkIS) for Small and Medium Enterprises (SMEs) in Fiji. The paper comprises of quantitative data, which is comprehensively analysed statistically. Structured questionnaire was used to collect data from the SMEs from¯ve major towns in Fiji forming a sample of 96 SMEs. This research has found that, SMEs in Fiji are quite aware of the resulting bene¯ts of MkIS, though the usage rate is low. This has resulted in changes for SMEs' business in terms of growth (sales and pro¯ts), from the time when SMEs started using MkIS or any form of technologies. The importance of MkIS in making extreme decision is also tested and analysed.
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