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. D...

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Autores principales:	Wang,Meng-Meng, Wang,Jian-Jun
Lenguaje:	English
Publicado:	Universidad de Talca 2019
Materias:	Continuance intention Platform trust Interaction Perceived fairness Crowdsourcing contest Expectation-confirmation model
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762019000300103
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spelling	oai:scielo:S0718-187620190003001032019-12-17Understanding Solvers' Continuance Intention in Crowdsourcing Contest Platform: An Extension of Expectation-Confirmation ModelWang,Meng-MengWang,Jian-Jun Continuance intention Platform trust Interaction Perceived fairness Crowdsourcing contest 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.info:eu-repo/semantics/openAccessUniversidad de TalcaJournal of theoretical and applied electronic commerce research v.14 n.3 20192019-09-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762019000300103en10.4067/S0718-18762019000300103
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	Continuance intention Platform trust Interaction Perceived fairness Crowdsourcing contest Expectation-confirmation model
spellingShingle	Continuance intention Platform trust Interaction Perceived fairness Crowdsourcing contest Expectation-confirmation model Wang,Meng-Meng Wang,Jian-Jun Understanding Solvers' Continuance Intention in Crowdsourcing Contest Platform: An Extension of Expectation-Confirmation Model
description	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.
author	Wang,Meng-Meng Wang,Jian-Jun
author_facet	Wang,Meng-Meng Wang,Jian-Jun
author_sort	Wang,Meng-Meng
title	Understanding Solvers' Continuance Intention in Crowdsourcing Contest Platform: An Extension of Expectation-Confirmation Model
title_short	Understanding Solvers' Continuance Intention in Crowdsourcing Contest Platform: An Extension of Expectation-Confirmation Model
title_full	Understanding Solvers' Continuance Intention in Crowdsourcing Contest Platform: An Extension of Expectation-Confirmation Model
title_fullStr	Understanding Solvers' Continuance Intention in Crowdsourcing Contest Platform: An Extension of Expectation-Confirmation Model
title_full_unstemmed	Understanding Solvers' Continuance Intention in Crowdsourcing Contest Platform: An Extension of Expectation-Confirmation Model
title_sort	understanding solvers' continuance intention in crowdsourcing contest platform: an extension of expectation-confirmation model
publisher	Universidad de Talca
publishDate	2019
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-18762019000300103
work_keys_str_mv	AT wangmengmeng understandingsolverscontinuanceintentionincrowdsourcingcontestplatformanextensionofexpectationconfirmationmodel AT wangjianjun understandingsolverscontinuanceintentionincrowdsourcingcontestplatformanextensionofexpectationconfirmationmodel
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Understanding Solvers' Continuance Intention in Crowdsourcing Contest Platform: An Extension of Expectation-Confirmation Model

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