Understanding Solvers' Continuance Intention in Crowdsourcing Contest Platform: An Extension of Expectation-Confirmation Model

Abstract

The great potential of crowdsourcing contest is bringing the issue of how to sustain solvers' participation intention to be a hot topic in research and practice. This study uses the framework of Expectation-confirmation model to explain solvers' continuance intention. Due to the uncertainties inherent in crowdsourcing contest, trust, a salient psychological belief, should be taken into account with the Expectation-confirmation model framework to predict solvers' continuance intention. In addition, the intensive demand of intelligence and competition indicate interaction and fairness as two crucial factors for solvers to achieve expectation, thus suggesting that they may have influence on the confirmation level. Corresponding to these challenges, this study integrates platform trust, interaction, and perceived fairness into an extended Expectation-confirmation model to examine solvers' continuance intention. Using a sample of 306 solvers, empirical results show that satisfaction, perceived benefits, and platform trust, which are positively associated with confirmation, are three significant antecedents of solvers' continuance intention. Confirmation is further found to be significantly determined by interaction and perceived fairness. These findings provide some implications in both theory and practice for understanding the process of triggering sustained intention with an Expectation-confirmation model framework in crowdsourcing contest.

Towards an understanding of the decision process of solvers’ participation in crowdsourcing contests for problem solving

“…Totally, it can be divided into positive and negative participation experience. The positive participation experience would have a positive effect on solvers' intention to participate continuously (Wang and Wang 2019;Wang, Khasraghi, and Schneider 2020;Ye and Kankanhalli 2017;Zhu, Li, and Andrews 2017). In contrast, solvers may not participate continuously due to the negative participation experience.…”

“…(3) Individual characteristics This study also investigated solvers' individual characteristics and their roles in influencing solvers' decision makings. Previous studies have examined a few individual characteristics that affect solvers' actions in crowdsourcing, including past participation experience (Wang and Wang 2019;Ye and Kankanhalli 2017;Zhu, Li, and Andrews 2017) especially past success experience (Wang, Khasraghi, and Schneider 2020;Zhu, Li, and Andrews 2017), expertise (Zhu, Li, and Andrews 2017), and cultural background (Chua, Roth, and Lemoine 2015;Bockstedt, Druehl, and Mishra 2015). This study emphasised the influence of four solvers' individual characteristics, that is, design style, social network, personal working manner and participation experience, in their decisions to participate.…”

“…The sustained development of crowdsourcing contests for problem solving (CCPS) and their supporting platforms greatly depend on solvers' active participation (Sun, Fang, and Lim 2012;Wang and Wang 2019;Ye and Kankanhalli 2017). It is, therefore, hardly surprising that academic researchers and practitioners have paid much attention on developing the related theoretical basis and practical implications to understand and stimulate solvers' participation in CCPS.…”

“…Furthermore, some studies classified solver participation process into the decision to participate initially and the decision to participate continuously. Moreover, they argued that the solvers' initial decision results and participation experience potentially affect their later decision outcomes that link to their future participation intention and behaviours (Alam and Campbell 2017;Heo and Toomey 2015;Piezunka and Dahlander 2019;Sun, Fang, and Lim 2012;Wang and Wang 2019). However, the division of solver participation process in the above studies is to some extent too broad to consider some solvers' specific decisions such as task choice and determination of effort level to put into a task.…”

A Reference Architecture for Blockchain-Based Crowdsourcing Platforms

“…Buying and selling knowledge-intensive tasks and services on the market has become a common practice for many organizations to gain on-demand access to a variety of expertise and knowledge [1,2]. Ranging from small start-ups to those listed in Fortune 500, increasingly, companies are making use of crowdsourcing to access external knowledge and skills [3,4].…”