Individual Factors that Influence Effort and Contributions on Wikipedia
| Autor: | Silvia Satiko Onoyama, Carlos Denner dos Santos, Luiz Fernando Silva Pinto |
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| Rok vydání: | 2020 |
| Předmět: |
Social and Information Networks (cs.SI)
FOS: Computer and information sciences media_common.quotation_subject Theory of planned behavior Sample (statistics) Computer Science - Social and Information Networks General Medicine Altruism Structural equation modeling Exploratory factor analysis Computer Science - Computers and Society Reciprocity (social psychology) Computers and Society (cs.CY) Conceptual model Psychology Social psychology media_common Reputation |
| DOI: | 10.48550/arxiv.2007.07333 |
| Popis: | In this work, we aim to analyze how attitude, self-efficacy, and altruism influence effort and active contributions on Wikipedia. We propose a new conceptual model based on the theory of planned behavior and findings from the literature on online communities. This model differs from other models that have been previously proposed by considering altruism in its various facets (identification, reciprocity, and reputation), and by treating effort as a factor prior to performance results, which is measured in terms of active contributions, according to the organizational literature. To fulfill the study specific objectives, Wikipedia surveyed community members and collected secondary data. After excluding outliers, we obtained a final sample with 212 participants. We applied exploratory factor analysis and structural equation modeling, which resulted in a model with satisfactory fit indices. The results indicate that effort influences active contributions, and attitude, altruism by reputation, and altruism by identification influence effort. None of the proposed factors are directly related to active contributions. Experience directly influences self-efficacy while it positively moderates the relation between effort and active contributions. Finally, we present the conclusions via several implications for the literature as well as suggestions for future research. Comment: Presented at AoM 2019 in Boston |
| Databáze: | OpenAIRE |
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