{"title":"追随领导者（或不追随领导者）：超级明星对众包竞赛中人群规模的影响","authors":"Zhongzhi Liu, Fujun Lai, Qiaoyi Yin","doi":"10.1108/ijopm-03-2023-0219","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>As the application of crowdsourcing contests grows, leveraging the participation of superstars (i.e. solvers who have outstanding performance records in a crowdsourcing platform) becomes an emergent approach for managers to solve crowdsourced problems. Although much is known about superstars’ performance implications, it remains unclear whether and how their participation affects the size of a contest crowd for a crowdsourcing contest. Based on social contagion theory, this paper aims to examine the impact of superstars’ participation on the crowd size and studies how this impact varies across solvers with different heterogeneity in terms of skills, exposure and cultural proximity with superstars in crowdsourcing contests.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>This paper uses secondary data from one crowdsourcing platform that includes 6,587 innovation contests to examine superstars’ main and contextual effects on the crowd size of a contest.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>Our results reveal that superstars’ participation positively affects the crowd size of a contest in general. This finding suggests that social contagion is a fundamental mechanism underlying crowd formation in crowdsourcing contests. Our results also indicate that in contests that involve multiple superstars, superstars’ effect on crowd size becomes negative when we simultaneously consider other solvers’ heterogeneity in terms of skills, exposure and cultural background, and this negative effect will be intensified by increases in the skill gap, extent of exposure and cultural proximity between superstars and other solvers in the same contest.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>Our research enhances the understanding of the influence of superstars and the mechanism underlying the emergence of contest crowds in crowdsourcing contests and contributes knowledge to better understand social contagion in a competitive setting. The results are meaningful for sourcing managers and platform supervisors to design contests and supervise crowd size in crowdsourcing contests.</p><!--/ Abstract__block -->","PeriodicalId":14234,"journal":{"name":"International Journal of Operations & Production Management","volume":"17 1","pages":""},"PeriodicalIF":7.1000,"publicationDate":"2024-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Follow the leader (or not): the influence of superstars on crowd size in crowdsourcing contests\",\"authors\":\"Zhongzhi Liu, Fujun Lai, Qiaoyi Yin\",\"doi\":\"10.1108/ijopm-03-2023-0219\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3>Purpose</h3>\\n<p>As the application of crowdsourcing contests grows, leveraging the participation of superstars (i.e. solvers who have outstanding performance records in a crowdsourcing platform) becomes an emergent approach for managers to solve crowdsourced problems. Although much is known about superstars’ performance implications, it remains unclear whether and how their participation affects the size of a contest crowd for a crowdsourcing contest. Based on social contagion theory, this paper aims to examine the impact of superstars’ participation on the crowd size and studies how this impact varies across solvers with different heterogeneity in terms of skills, exposure and cultural proximity with superstars in crowdsourcing contests.</p><!--/ Abstract__block -->\\n<h3>Design/methodology/approach</h3>\\n<p>This paper uses secondary data from one crowdsourcing platform that includes 6,587 innovation contests to examine superstars’ main and contextual effects on the crowd size of a contest.</p><!--/ Abstract__block -->\\n<h3>Findings</h3>\\n<p>Our results reveal that superstars’ participation positively affects the crowd size of a contest in general. This finding suggests that social contagion is a fundamental mechanism underlying crowd formation in crowdsourcing contests. Our results also indicate that in contests that involve multiple superstars, superstars’ effect on crowd size becomes negative when we simultaneously consider other solvers’ heterogeneity in terms of skills, exposure and cultural background, and this negative effect will be intensified by increases in the skill gap, extent of exposure and cultural proximity between superstars and other solvers in the same contest.</p><!--/ Abstract__block -->\\n<h3>Originality/value</h3>\\n<p>Our research enhances the understanding of the influence of superstars and the mechanism underlying the emergence of contest crowds in crowdsourcing contests and contributes knowledge to better understand social contagion in a competitive setting. 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Follow the leader (or not): the influence of superstars on crowd size in crowdsourcing contests
Purpose
As the application of crowdsourcing contests grows, leveraging the participation of superstars (i.e. solvers who have outstanding performance records in a crowdsourcing platform) becomes an emergent approach for managers to solve crowdsourced problems. Although much is known about superstars’ performance implications, it remains unclear whether and how their participation affects the size of a contest crowd for a crowdsourcing contest. Based on social contagion theory, this paper aims to examine the impact of superstars’ participation on the crowd size and studies how this impact varies across solvers with different heterogeneity in terms of skills, exposure and cultural proximity with superstars in crowdsourcing contests.
Design/methodology/approach
This paper uses secondary data from one crowdsourcing platform that includes 6,587 innovation contests to examine superstars’ main and contextual effects on the crowd size of a contest.
Findings
Our results reveal that superstars’ participation positively affects the crowd size of a contest in general. This finding suggests that social contagion is a fundamental mechanism underlying crowd formation in crowdsourcing contests. Our results also indicate that in contests that involve multiple superstars, superstars’ effect on crowd size becomes negative when we simultaneously consider other solvers’ heterogeneity in terms of skills, exposure and cultural background, and this negative effect will be intensified by increases in the skill gap, extent of exposure and cultural proximity between superstars and other solvers in the same contest.
Originality/value
Our research enhances the understanding of the influence of superstars and the mechanism underlying the emergence of contest crowds in crowdsourcing contests and contributes knowledge to better understand social contagion in a competitive setting. The results are meaningful for sourcing managers and platform supervisors to design contests and supervise crowd size in crowdsourcing contests.
期刊介绍：
The mission of the International Journal of Operations & Production Management (IJOPM) is to publish cutting-edge, innovative research with the potential to significantly advance the field of Operations and Supply Chain Management, both in theory and practice. Drawing on experiences from manufacturing and service sectors, in both private and public contexts, the journal has earned widespread respect in this complex and increasingly vital area of business management.
Methodologically, IJOPM encompasses a broad spectrum of empirically-based inquiry using suitable research frameworks, as long as they offer generic insights of substantial value to operations and supply chain management. While the journal does not categorically exclude specific empirical methodologies, it does not accept purely mathematical modeling pieces. Regardless of the chosen mode of inquiry or methods employed, the key criteria are appropriateness of methodology, clarity in the study's execution, and rigor in the application of methods. It's important to note that any contribution should explicitly contribute to theory. The journal actively encourages the use of mixed methods where appropriate and valuable for generating research insights.
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