The Game Equilibrium of Scientific Crowdsourcing Solvers Based on the Hotelling Model

Wang, Guohao; Yu, Liying

doi:10.3390/joitmc5040089

Cited by 3 publications

(2 citation statements)

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“…When the solver is driven by both intrinsic and extrinsic motivations, if the initiator is more sensitive to the benefits of the solver's intrinsic efforts, the solver's monetary incentive will be higher. This conclusion will guide the solver to focus more on intrinsic motivations [60], such as learning new knowledge, sharing experiences, etc.…”

Section: The Monetary Incentive Plan When Considering Solver's Effortmentioning

confidence: 97%

Analysis of Enterprise Sustainable Crowdsourcing Incentive Mechanism Based on Principal-Agent Model

Wang

2020

Sustainability

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The utilization of crowdsourcing to acquire distant knowledge is increasing. In the new product development process, sustainable crowdsourcing is an effective way to exploit both external and internal resources to boost enterprise innovation quality and the efficiency of the competitive edge of macro tasks in a relatively long cycle. The challenge of sustainable crowdsourcing is how to design a proper incentive mechanism to achieve the maximum initiator profit and, at the same time, satisfy the solver’s motivation so that they can continuously participate in the innovation process. In two situations, including a single motivation and multiple motivations of the solver, this paper analyzed the impact of a few factors on the initiator’s profit and the incentive coefficient for the solver based on the Principal–Agent Model. From the model and simulation results, the solver’s incentive coefficient is positively correlated to the solver’s work quality and negatively correlated to the uncertainty of the enterprise operation, the solver’s Effort Cost, the solver’s degree of risk aversion, etc. If the initiator is more sensitive to the benefits of the solver’s intrinsic motivation, the monetary incentive will be higher. The research results provide a theoretical basis to quantify the initiator’s expected profit and design a proper incentive plan for the solver. Finally, the conclusions offer practical guidance for enterprise to execute incentive plans for sustainable crowdsourcing from the perspective of the solver’s motivation.

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Section: The Monetary Incentive Plan When Considering Solver's Effortmentioning

confidence: 97%

Analysis of Enterprise Sustainable Crowdsourcing Incentive Mechanism Based on Principal-Agent Model

Wang

2020

Sustainability

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“…External and mixed IMS are great for boosting open innovation across enterprises' boundaries [2,3], and creating the innovation ecosystem [5,6]. In future research, authors should explore in detail how different crowdsourcing groups could be influenced by different types of rewards, because there could be different crowdsourcing types, such as scientific crowdsourcing [86]. The combination of internal and external IMS as mixed IMSs become more popular with the trend to move away from delivering innovative activities primarily internally, to outsourcing innovative activities externally.…”

Section: Web-based Idea Rewards System and Its Way To Motivate Open I...mentioning

confidence: 99%

Governance of Web-Based Idea Management System Rewards: From the Perspective of Open Innovation

Miķelsone

Segers

Spilbergs

2022

Journal of Open Innovation: Technology, Market, and Complexity

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Digitisation of business processes has attracted practitioner attention across a wide range of industries as it enables enterprises to better manage their processes and improve results. The rate of digitisation has grown over the last decade and has become essential for enterprises to handle unforeseen disruptions and promote better management of resources. The COVID-19 pandemic is one example of a recent major disruption that caught enterprises off-guard and had a major impact on their value chains. The adoption of digitisation of business processes has significantly sped up to improve enterprise and their value chain resilience and enable enterprises to survive and potentially thrive in today’s uncertain environment. Through this movement, innovative companies have embraced idea management to develop new business models and achieve competitive advantage. One of the major digital tools that support enterprises in their idea management efforts is web-based idea management systems. This study aims to show how enterprises can manage the rewards of platforms, such as web-based idea management systems, to achieve a first-in-class quality and quantity of ideas sourced from the stakeholders involved in these platform-based ecosystems. To reach this aim, a global survey study was conducted involving over 400 responses from enterprises that use web-based idea management systems and consequent results were analysed. The impact of intrinsic and extrinsic rewards on the results of enterprises is a well-researched area. To further verify the results, the authors have conducted ten expert interviews and a qualitative analysis of a data set sourced from a database that contained 129 company entries that utilise web-based idea management systems and was available for this research that was conducted over a two-year period. Results strongly indicate that mixed and financial reward type tasks result in a higher quantity of ideas created, however, higher idea quality—i.e., ideas selected—is higher for financial reward tasks. The research highlights that there could be differences between different web-based idea management systems application groups.

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Understanding crowdsourcing in science

et al. 2022

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Over the past 16 years, the concept of crowdsourcing has rapidly gained traction across many research fields. While related debates focused mainly on its importance for business, the public and non-governmental sectors, its relevance for generating scientific knowledge is increasingly emphasized. This rising interest remains in contradiction with its feeble recognition, and excessive simplifications reducing crowdsourcing in science to citizen science. Conceptual clarity and a coherent framework would help integrate the various research streams. The aim of this paper is to extend reflection on crowdsourcing in science by analyzing the characteristics of the phenomenon. We synthesize a consensual definition from the literature, and structure key characteristics into a coherent framework, useful in guiding further research. We use a systematic literature review procedure to generate a pool of 42 definitions from a comprehensive set of 62 articles spanning different literatures, including: business and economics, education, psychology, biology, and communication studies. We follow a mixed-method approach that combines bibliometric and frequency analyses with deductive coding and thematic analysis. Based on triangulated results we develop an integrative definition: crowdsourcing in science is a collaborative online process through which scientists involve a group of self-selected individuals of varying, diverse knowledge and skills, via an open call to the Internet and/or online platforms, to undertake a specified research task or set of tasks. We also provide a conceptual framework that covers four key characteristics: initiator, crowd, process, and technology.

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The Game Equilibrium of Scientific Crowdsourcing Solvers Based on the Hotelling Model

Cited by 3 publications

References 39 publications

Analysis of Enterprise Sustainable Crowdsourcing Incentive Mechanism Based on Principal-Agent Model

Analysis of Enterprise Sustainable Crowdsourcing Incentive Mechanism Based on Principal-Agent Model

Governance of Web-Based Idea Management System Rewards: From the Perspective of Open Innovation

Understanding crowdsourcing in science

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