A framework for evaluation of crowdsourcing platforms performance
Bibliographic Data
| ID | 21500957 |
|---|---|
| Authors | Mohammadhasan Moghadasi (0000-0001-8396-6860, Ershad Damavand Institute of Higher Education), Mehdi Shirmohammadi (Ershad Damavand Institute of Higher Education), Ahmadreza Ghasemi (0000-0002-5015-0205, University of Tehran) |
| Year | 2024 |
| Volume | 40 |
| Issue | 4 |
| Pages | 635-647 |
| Publication date | 2024-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Information Development (JOURNAL) |
| Journal identifiers | ISSN: 0266-6669 • E-ISSN: 1741-6469 |
| Publisher | SAGE Publications (PUBLISHER • US) |
| DOI | 10.1177/02666669231152553 |
| OpenAlex | W4317725996 |
| Language | EN |
| References cited | 39 |
This study aims to identify an appropriate conceptual framework to evaluate crowdsourcing platforms from an open innovation perspective employing a combination of qualitative and quantitative methods. The initial indices of the performance evaluation framework in the crowdsourcing platforms are obtained through the Delphi method and interviews with experts. Then, using these factors, a statistical questionnaire is designed and distributed among users of crowdsourcing platforms to confirm or reject the factors. Finally, the aspects of the performance evaluation framework of crowdsourcing platforms are specified from the perspective of open innovation. Using fuzzy hierarchical analysis, these aspects are prioritized in order of importance: Collaboration, Project design, Moderation, Terms and conditions, UI/UX (user interface and user experience), and Key statistics. Concerning the principle of crowdsourcing, which is based on crowd participation and crowd intelligence of users, Collaboration and Project design turned out to be the significant factors in evaluating a crowdsourcing platform
Conceptual framework · Crowdsourcing · Crowdsourcing software development · Data science · Delphi method · Knowledge management · Open Innovation · World Wide Web · Computer Science · Knowledge Management and Sharing · Mobile Crowdsensing and Crowdsourcing · Open Source Software Innovations · Artificial Intelligence · Software
Open Innovation
Towards an integrated crowdsourcing definition
Open innovation
Modeling a Paradigm Shift
RMSEA, CFI, and TLI in structural equation modeling with ordered categorical data
The viability of crowdsourcing for survey research
Confirmatory Factor Analysis (CFA), Exploratory Structural Equation Modeling (Esem), and Set-Esem
Application of confirmatory factor analysis to the study of self-concept
Principles and Practice of Structural Equation Modeling
| Citation velocity | historical |
|---|---|
| Highly cited | No |