How to work a crowd: Developing crowd capital through crowdsourcing

Prpić, John; Shukla, Prashant; Kietzmann, Jan; McCarthy, Ian P.

doi:10.1016/j.bushor.2014.09.005

Cited by 199 publications

(93 citation statements)

References 39 publications

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“…The second step in the process is comparable to crowd idea sourcing proposed by [16], but slightly distinct in certain aspects. In this step, an eclectic group of medical experts will represent the crowd.…”

Section: Step Two: Expert Panel Recommendationsmentioning

confidence: 93%

“…Ayurveda, Chinese, Greek) and different approaches to medicine (for example, Western medicine, Homeopathy, Acupuncture). To provide a structure to the step approach, we adopt classification of crowdsourcing based on the method used to analyze the crowd contributions [16]. This is one of the first attempts to categorize crowdsourcing based on the basis of process dimension of crowd capability construct.…”

Section: Crowdsourcing System For Medical Diagnosismentioning

confidence: 99%

“…They represent a subset of problems that are highly complex and have high degree of 'intricacies' associated with them. Thus, we strive to reconstruct classification outlined by [16], while applying it's the fundamental tenets to develop our crowdsourcing model.…”

Section: Crowdsourcing System For Medical Diagnosismentioning

confidence: 99%

“…Drawing on [16], we posit that a method similar to crowd voting will be the first step in crowdsourcing for diagnosis of rare medical conditions. We begin with crowdsourcing the medical case to the crowd.…”

Section: Step One: Analogous Crowd Votingmentioning

confidence: 99%

“…We then explore the challenges associated with capturing global medical knowledge. In the subsequent section, we use classification of crowdsourcing based on the method used to analyze the crowd contributions proposed by [16] as a 'spring board' to recommend a step approach to develop a crowdsourcing system for medical diagnosis of health issues for which cure has not been developed. In the concluding section, we present closing arguments on the promise of crowdsourcing systems that rely on bringing together knowledge from diverse sources.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Developing Effective Crowdsourcing Systems for Medical Diagnosis: Challenges and Recommendations

Sen

Ghosh

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Section: Step Two: Expert Panel Recommendationsmentioning

confidence: 93%

Section: Crowdsourcing System For Medical Diagnosismentioning

confidence: 99%

Section: Crowdsourcing System For Medical Diagnosismentioning

confidence: 99%

Section: Step One: Analogous Crowd Votingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Developing Effective Crowdsourcing Systems for Medical Diagnosis: Challenges and Recommendations

Sen

Ghosh

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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Comparing crowdsourcing initiatives: Toward a typology development

Ali-Hassan

Allam

2016

Can J Adm Sci

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Although numerous studies have examined the crowdsourcing phenomenon, little consensus exists regarding the classification of distinct types of activities within crowdsourcing. In this study, we identify and classify 12 crowdsourcing initiatives that comprise the key categories of crowdsourcing: Crowdpedia, Fansourcing, Crowdnetworking, Crowdsharing, Crowdvoting, Crowdfunding, Ideation, Open Innovation, User Innovation, Scisourcing, Crowd‐Relief, and Open Source Software. Our main objective is to establish the similarities and differences between basic crowdsourcing initiatives and develop a typology based on nine crowdsourcing dimensions that we develop. This crowdsourcing typology will provide a roadmap on which researchers can anchor their research and practitioners can make more informed decisions about which category of crowdsourcing they should seek. Copyright © 2016 ASAC. Published by John Wiley & Sons, Ltd.

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Engaging customer care employees in internal collaborative crowdsourcing: Managing the inherent tensions and associated challenges

Malhotra

Majchrzak

Bonfield

et al. 2019

Human Resource Management

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Customer care employees (CCEs) are an excellent source of ideas for new and enhanced services for customers. By serving many customers, CCEs have the ability to see patterns in unserved and underserved needs. By being inside rather than external to the firm, CCEs have the ability to offer suggestions that build on existing capabilities, which result in ideas that are more easily implementable. There is a long history of research and practice for soliciting suggestions from employees, but little of this work has described how CCEs can be organized into a temporary online crowd to cocreate innovative ideas. With the advent of crowdsourcing software platforms, online collaboration among geographically distributed CCEs is increasingly possible. We describe an action research study of Optum, a healthcare company that implemented a collaborative internal crowdsourcing initiative over a period of 18 months. The action research study led to the identification of three tensions and associated challenges. We outline eight HRM actions that were undertaken to mitigate the challenges of engaging CCEs in internal crowdsourcing efforts. Based on our findings, we lay out a general framework, implications, and future research directions for research and managerial actions when engaging CCEs in internal collaborative crowdsourcing.

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How to work a crowd: Developing crowd capital through crowdsourcing

Cited by 199 publications

References 39 publications

Developing Effective Crowdsourcing Systems for Medical Diagnosis: Challenges and Recommendations

Developing Effective Crowdsourcing Systems for Medical Diagnosis: Challenges and Recommendations

Comparing crowdsourcing initiatives: Toward a typology development

Engaging customer care employees in internal collaborative crowdsourcing: Managing the inherent tensions and associated challenges

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