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Intrinsically motivating the crowds

The Role of Feedback Information in Crowdsourcing Contests

Datos Bibliográficos

ID7155709
AutoresMengmeng Wang (0000-0001-6285-179X), Meng-meng Wang (0000-0002-2850-6092, Business School, Nanjing University of Information Science and Technology), Chun Zhang (0009-0001-4160-2329, Business School, Nanjing University of Information Science and Technology), Tingting Zhu (0000-0002-2631-3318, Business School, Nanjing University of Information Science and Technology)
Año2025
Volumen38
Número7
Páginas2664-2683
Fecha de publicación2025-11-12
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaInformation Technology and People (JOURNAL)
Identificadores de la revistaISSN: 0959-3845 • E-ISSN: 1758-5813
EditorialEmerald (PUBLISHER)
DOI10.1108/itp-11-2023-1087
OpenAlexW4401980637
IdiomaEN
Referencias citadas58

Purpose The purpose of this study is to explore the motivational role of feedback information (positive and negative) provided by the firm in the face of participant heterogeneity, in terms of past success experience, under the research setting of crowdsourcing contests. Design/methodology/approach Taking insights from feedback studies and the dynamics of self-regulation theory, four theoretical hypotheses are proposed. An integrated dataset of 4,880 contest-participant pairs, which is obtained from an online contest platform and a survey, is empirically analyzed. Findings Empirical analysis shows that both positive feedback and negative feedback are able to stimulate the inner needs of participants. Notably, negative (positive) feedback becomes more (less) effective in intrinsically motivating crowds as they gain more successful experience during contest participation. Originality/value This study brings some new knowledge for the intrinsic motivation of crowds by exploring its antecedents, which have been undervalued in extant literature. The motivational role of feedback information is particularly explored

Computer security · Crowds · Crowdsourcing · Data science · Human–computer interaction · Internet privacy · World Wide Web · Computer Science · Experimental Behavioral Economics Studies · Mobile Crowdsensing and Crowdsourcing · Open Source Software Innovations

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