Exploring the effects of reward and competition intensity on participation in crowdsourcing contests

Li, Dan; Hu, Longying

doi:10.1007/s12525-017-0252-7

Cited by 44 publications

(31 citation statements)

References 24 publications

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“…In this context, it is fundamental that reward design builds on an in-depth understanding of solvers' expected benefits and seekers' abilities to fulfill them. The importance of non-monetary rewards has been extensively discussed in the literature (e.g., Antikainen et al 2010;Ihl et al 2018;Li and Hu 2017). For example, Natalicchio et al (2014) propose that addressing solvers' intrinsic motivations in addition to monetary awards allows an increase in participation and the average quality of contributions.…”

Section: Derivation Of Design Principlesmentioning

confidence: 99%

Design principles for establishing a multi-sided open innovation platform: lessons learned from an action research study in the medical technology industry

et al. 2019

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Innovation in the medical technology (med tech) industry has a major impact on well-being in society. Open innovation has the potential to accelerate the development of new or improved healthcare solutions. Building on work system theory (WST), this paper explores how a multi-sided open innovation platform can systematically be established in a German med tech industry cluster in situations where firms had no prior experience with this approach. We aim to uncover problems that may arise and identify opportunities for overcoming them. We performed an action research study in which we implemented and evaluated a multi-sided web-based open innovation platform in four real-world innovation challenges. Analyzing the four different challenges fostered a deeper understanding of the conceptual and organizational aspects of establishing the multi-sided open innovation platform as part of a larger work system. Reflecting on the findings, we developed five design principles that shall support the establishment of multi-sided open innovation platforms in other contexts. Thus, this paper contributes to both theory and practice.

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Section: Derivation Of Design Principlesmentioning

confidence: 99%

Design principles for establishing a multi-sided open innovation platform: lessons learned from an action research study in the medical technology industry

et al. 2019

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“…Based on the theory of expectation to model factors that influence the solvers' participation effort, Sun et al [16] found that task rewards and trust have a positive impact on participation efforts. Li and Hu [17] have empirically found that task rewards are positively correlated with the number of registrations and submissions. Ye and Kankanhalli [18] found that monetary rewards, skills upgrading, job autonomy, enjoyment, and trust will positively affect solvers' participation in crowdsourcing contest.…”

Section: Literature Reviewmentioning

confidence: 99%

“…For the convenience of regression, we refer to the treatment way of variables used by Shao et al [29] and Li and Hu [17]. In this study, the variables of continuous non-normal distribution are logarithmically processed and logarithmic processing does not affect the relationship between variables.…”

Section: Variable Definitionmentioning

confidence: 99%

Research on Factors Affecting Solvers’ Participation Time in Online Crowdsourcing Contests

Yang¹

2019

Future Internet

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A crowdsourcing contest is one of the most popular modes of crowdsourcing and is also an important tool for an enterprise to implement open innovation. The solvers' active participation is one of the major reasons for the success of crowdsourcing contests. Research on solvers' participation behavior is helpful in understanding the sustainability and incentives of solvers' participation in the online crowdsourcing platform. So, how to attract more solvers to participate and put in more effort is the focus of researchers. In this regard, previous studies mainly used the submission quantity to measure solvers' participation behavior and lacked an effective measure on the degree of participation effort expended by a solver. For the first time, we use solvers' participation time as a dependent variable to measure their effort in a crowdsourcing contest. Thus, we incorporate participation time into the solver's participation research. With the data from Taskcn.com, we analyze how participation time is affected four key factors including task design, task description, task process, and environment, respectively. We found that, first, for task design, higher task rewards will attract solvers to invest more time in the participation process and the relationship between participation time and task duration is inverted U-shaped. Second, for task description, the length of the task description has a negative impact on participation time and the task description attachment will positively influence the participation time. Third, for the task process, communication and supplementary explanations in a crowdsourcing process positively affect participation time. Fourth, for environmental factors, the task density of the crowdsourcing platform and the market price of all crowdsourcing contests have respectively negative and positive effects on participation time.

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“…The Expectancy-value theory proposed by Victor H. Vroom in 1964 is part of the theory of behavioral motivational psychology [10] and is often used to explain the motivation of decision makers [11]. The decision maker will decide whether to complete a certain job according to the expected value of the behavior decision [12].…”

Section: Theoretical Basismentioning

confidence: 99%

“…An analysis believes that although high monetary rewards can attract more solvers to compete, the probability of success for everyone will decrease because of the increased competition [9], while another analysis thinks that the additional effect of increased rewards can offset the reduction in the probability of winning due to intense competition [6]. A newer study also found that the intensity of competition is negatively correlated with the quantity of submissions, and the intensity of competition adjusts the relationship between task rewards and the quantity of submissions [10].…”

Section: Introductionmentioning

confidence: 99%

Exploring the Impact of Task Density on Task Submission in Crowdsourcing Contests

Yang¹,

Sun²

2018

Proceedings of the Third International Conference on Economic and Business Management (FEBM 2018)

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The competitive environment has a certain impact on the solvers' participation in the crowdsourcing contests. We Used the task density to represent the competitive environment, and the quantity of submitted solutions to represent the solvers' participation. Among them, the task density refers to the number of similar tasks in a certain period of time. The more similar tasks in a certain period of time, the greater the task density, indicating that there are more similar tasks to attract the solvers. Using the 2776 logo design task data on Taskcn.com from the year 2015 to 2018, we analyzed the impact of task density on the solvers' participation and the regulating effect of the two important factors of task setting, namely task rewards and task duration, on the task density. The results showed that the task density was negatively correlated with the quantity of the task solutions submitted; the task duration was positively adjusting the impact of task density on the quantity of solution submitted, that is, increasing the task duration could reduce the negative impact of the competitive environment on the quantity of solutions submitted. The regulating effect of the task rewards on the relationship between the task density and the amount of solutions submitted was not significant. The possible reason is that increasing the rewards does not enable the solver to have more time to participate in other tasks. The task rewards have no regulating effect on the task density.

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Exploring the effects of reward and competition intensity on participation in crowdsourcing contests

Cited by 44 publications

References 24 publications

Design principles for establishing a multi-sided open innovation platform: lessons learned from an action research study in the medical technology industry

Design principles for establishing a multi-sided open innovation platform: lessons learned from an action research study in the medical technology industry

Research on Factors Affecting Solvers’ Participation Time in Online Crowdsourcing Contests

Exploring the Impact of Task Density on Task Submission in Crowdsourcing Contests

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