Recruiting Individuals to a Crowdsourcing Community: Applying Motivational Categories to an Ad Copy Test

Roth, Yannig; Brabham, Daren C.; Lemoine, Jean-François

doi:10.1007/978-3-319-18341-1_2

Cited by 20 publications

(12 citation statements)

References 56 publications

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“…Using novel data sources, like wearable sensors (Ingram & Morris, 2016), may be particularly useful for understanding brokerage dynamics among multiple actors (brokers, alters, and others), especially in networking events, such as exhibitions or trade association meetings. In addition, we see the potential of conducting longitudinal brokerage studies by using data on crowdsourcing, a particular form of brokerage involving dispersed individuals who collaborate in finding the solution to a given problem by contributing knowledge and expertise that are not present within the organizational boundaries (e.g., Roth, 2015).…”

Section: Insights For Future Researchmentioning

confidence: 99%

Network Brokerage: An Integrative Review and Future Research Agenda

Kwon

Rondi

Levin

et al. 2020

Journal of Management

156

133

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Network brokerage research has grown rapidly in recent decades, spanning the boundaries of multiple social science disciplines as well as diverse research areas within management. Accordingly, we take stock of the literature on network brokerage and provide guidance on ways to move this burgeoning research area forward. We provide a comprehensive review of this literature, including crucial dimensions of the concept itself in terms of brokerage structure and behavior, a set of key categories of factors surrounding the brokerage concept (antecedents, outcomes, and moderators), and an overview of brokerage dynamics over time. We use these dimensions and categories to depict network brokerage’s theoretical and empirical underpinnings as well as evaluate prior research efforts. In so doing, we offer a means to summarize and synthesize this large, interdisciplinary literature, identify important research gaps, and offer promising directions for future research.

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Section: Insights For Future Researchmentioning

confidence: 99%

Network Brokerage: An Integrative Review and Future Research Agenda

Kwon

Rondi

Levin

et al. 2020

Journal of Management

156

133

View full text Add to dashboard Cite

show abstract

“…The subject of motivation has extensively been studied in psychology, sociology, management, and marketing [33] providing a solid theoretical ground upon human motivation [23], [29]. Researchers around the world have investigated the motivational aspect of the crowd with different theories, e.g., value theory, value expectancy theory, motivation theory, social identity theory, and value-sensitive design theory, all these have been applied to explain the participant's intention or continuance in crowdsourcing [14], [29], [32], [34]. These studies have mainly investigated the influences of benefiting factors on crowds' intention.…”

Section: Related Work a Classification Of Motivationmentioning

confidence: 99%

“…According to the theory developed by [35], who started working on it from the 1970s [29], motivations are of two types intrinsic and extrinsic. Motivation is intrinsic when the reward for doing an activity comes from the activity itself, for instance, playing football because it is enjoyable [27].…”

Section: Related Work a Classification Of Motivationmentioning

confidence: 99%

An Empirical Study on Competitive Crowdsource Software Development: Motivating and Inhibiting Factors

et al. 2019

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Crowdsourcing is gaining more and more popularity among the academic and industrial community. Organizations are adopting this technological advent and increasingly crowdsourcing their tasks to the unknown individuals. However, in the context of competitive crowdsourcing software development (CCSD), crowdsourcing is still unexplored. Too little is presently known about what intricate developers to participate in crowdsourcing software development competitions. Most importantly, what kind of developers are more likely to participate? Such open questions remain to be explored. To this end, in this paper, we present the results of an empirical study conducted to investigate what motivates software developers to participate in CCSD and what inhibits software developers to participate in such competitions. An online questionnaire is sent out to more than 300 crowdsource software participants, of which 113 return valid responses. It is also sent to more than 150 industry practitioners, of which 75 return valid responses. The results suggest that the monetary rewards are not significantly important to motivate software developers to participate in CCSD. Instead, learning, social contacts, and peer recognition are more important. Besides the survey, we also analyze the historical data collected from one of the most popular software crowdsourcing platforms. The analysis results reveal that the Pareto principle holds for CCSD as well, and 0.9% of the participants win 86% competitions. The results support the premise that CCSD market is still at an early stage. Most of the professional software engineers do not participate seriously in crowdsourcing software development. Therefore, many crowdsourced tasks, especially complex tasks, may fail to receive any satisfying submission. These findings are worthwhile for the crowdsourcing platforms and companies who want to outsource their software development tasks to the CCSD platforms. INDEX TERMS Crowdsourcing, motivation, inhibiting factors, competitive software development.

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“…However, the same conditions may not apply to other companies, especially newly established ones or those with a business-to-business nature. Furthermore, cultural differences are found to affect the motivation to participate in crowdsourcing ventures (Roth et al, 2015). Thus, what motivates an Iranian audience best may not be as effective for motivating participants from other countries.…”

Section: Digital Transformation Requires (And Enables) Firmsmentioning

confidence: 99%

Using the crowd for business model innovation: the case of Digikala

et al. 2018

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On November 15, 2015, Digikala, one of the largest online stores in the Middle East, launched its first‐ever crowdsourcing contest called ‘A glance at tomorrow’. What distinguishes this contest from common crowd‐based initiatives is that it was aimed at Business Model Innovation (BMI) rather than product and process innovation. Although using the crowd has proven to be an effective way for firms to boost their product and process innovation, its use for BMI is challenging. Based on real large‐scale data from the Digikala’s crowdsourcing contest, this research focuses on the application of crowd‐powered solutions in BMI, which has rarely been investigated previously. Our exploratory case study indicates that the crowd could contribute to the BMI process. Our findings point to a new form of ‘division of innovation labor’ in BMI. Contribution of the crowd in BMI is more likely to be relevant to Value Proposition and Value Delivery, while it might be less relevant to Value Capture and Value Creation. The results also support the notion that crowd‐contributor characteristics affect the quality of proposals for BMI. We argue that this line of research could help companies design and implement customized crowd‐based initiatives to better support their BMI process.

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Recruiting Individuals to a Crowdsourcing Community: Applying Motivational Categories to an Ad Copy Test

Cited by 20 publications

References 56 publications

Network Brokerage: An Integrative Review and Future Research Agenda

Network Brokerage: An Integrative Review and Future Research Agenda

An Empirical Study on Competitive Crowdsource Software Development: Motivating and Inhibiting Factors

Using the crowd for business model innovation: the case of Digikala

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