Understanding crowdsourcing projects: A systematic review of tendencies, workflow, and quality management

Neto, Fábio R. Assis; Santos, Celso A. S.

doi:10.1016/j.ipm.2018.03.006

Cited by 67 publications

(20 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The crowdsourcing literature has grown over the years, with a number of reviews aiming to systematically and critically analyse it from different vantage points. For example, the review by (Assis Neto and Santos, 2018) focussed on the quality and workflow control aspects, while the work by (Estell es-Arolas et al, 2015) suggested a typology. The review by (Hossain and Kauranen, 2015) primarily focussed on the applications and the work by (Ghezzi et al, 2018) approached crowdsourcing as a process.…”

Section: Introductionmentioning

confidence: 99%

“…Despite reviews covering a range of topics in this area, their coverage of crowdsourcing skills has been relatively scarce. Crowdfunding in previous reviews of crowdsourcing has either been presented exclusively as a category of crowdsourcing that is used to crowdsource financial value (Assis Neto and Santos, 2018;Estell es-Arolas et al, 2015) or it has been completely excluded, which is also self-declared as a limitation (Ghezzi et al, 2018;Hossain and Kauranen, 2015). It is broadly agreed that crowdfunding is more than an alternative form of finance, as it offers additional value to the different stakeholders (Alfiero et al, 2014;Gleasure and Feller, 2016;Mollick and Robb, 2016;Short et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Crowdsourcing: a systematic review of the literature using text mining

Pavlidou

Papagiannidis

Tsui

2020

IMDS

View full text Add to dashboard Cite

PurposeThis study is a systematic literature review of crowdsourcing that aims to present the research evidence so far regarding the extent to which it can contribute to organisational performance and produce innovations and provide insights on how organisations can operationalise it successfully.Design/methodology/approachThe systematic literature review revolved around a text mining methodology analysing 106 papers.FindingsThe themes identified are performance, innovation, operational aspects and motivations. The review revealed a few potential directions for future research in each of the themes considered.Practical implicationsThis study helps researchers to consider the recent themes on crowdsourcing and identify potential areas for research. At the same time, it provides practitioners with an understanding of the usefulness and process of crowdsourcing and insights on what the critical elements are in order to organise a successful crowdsourcing project.Originality/valueThis study employed quantitative content analysis in order to identify the main research themes with higher reliability and validity. It is also the first review on crowdsourcing that incorporates the relevant literature on crowdfunding as a value-creation tool.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Crowdsourcing: a systematic review of the literature using text mining

Pavlidou

Papagiannidis

Tsui

2020

IMDS

View full text Add to dashboard Cite

show abstract

“…Effectively managing crowdsourcing has proven difficult for several reasons. First, a crowdsourcing project depends on several interrelated variables such as crowd composition, incentives, task performance and the product that is generated at the end of the project (Neto & Santos, 2018). Second, crowdsourcing needs a strong combination of technological, motivational and managerial capabilities.…”

Section: Introductionmentioning

confidence: 99%

The effectiveness of crowdsourcing in knowledge-based industries: the moderating role of transformational leadership and organisational learning

Devece

Palacios

Ribeiro-Navarrete

2019

Economic Research-Ekonomska Istraživanja

View full text Add to dashboard Cite

Crowdsourcing provides an opportunity for SMEs to exploit collective knowledge that is located outside the organisation. Crowdsourcing allows organisations to keep pace with a fastchanging environment by solving business problems, supporting R&D activities, and fostering innovation cheaply, flexibly, and dynamically. Nevertheless, managing crowdsourcing is difficult, and positive outcomes are not guaranteed. Drawing on the Resource-based View, we study transformational leadership and organisational learning capability as complementary assets to help SMEs deploy crowdsourcing. An empirical study of Spanish telecommunications and biotechnology companies confirmed the moderating effect of organisational learning on the relationship between crowdsourcing and organisational performance.

show abstract

“…With previous research studies on data management in large research institutions (Corrall, Kennan, & Afzal, 2013;Cox, Kennan, Lyon, & Pinfield, 2017;Crowston, Qin, 2011;Sturm, Luna, Albert, Schade, & Kasperowski, 2017;Zhang, & Chen, 2015), different studies of data management projects have been carried out by Alba and Francisco Chicano (2007), Assis Neto and Santos (2018), Crall, Newman, Jarnevich, Stohlgren, Waller, and Graham, (2010), Rüegg et al (2014), Sakka, Barki, and Côté (2013), Tsinaraki C. (2016), Shamim, Zeng, Shariq, andKhan (2019), Shin (2002), Wang, Cavusoglu, andDeng (2016), andAbu-Elkheir, Hayajneh, andAli (2013).…”

Section: Citizen Science and Data Managementmentioning

confidence: 99%

Study on the Data Management of Citizen Science: From the Data Life Cycle Perspective

Shwe

2020

Data and Information Management

View full text Add to dashboard Cite

There has been considerable growth in citizen science in academic contributions—researches by the paradigms of different disciplines and by the activities of citizens when undertaking data collecting, data processing, and data analyzing for disseminating results. These researches have proved the importance of data management practices—urgent to carry out the data life cycle. This study aims to analyze the scientific data contribution of citizen science under the data life cycle approach. It investigates 1,020 citizen science projects within the DataONE life cycle framework, which includes data management plan, data collection, data quality assurance, data documentation, data discovery, data integration, data preservation, and data analysis. As the major finding, the result of this study shows that the data management plan is developed with the leading of universities, which are the host of the majority of citizen science projects. The processes of data collection, data quality assurance, data documentation, data preservation, and data analysis are well organized with the systematic tool in the Information and Communications Technology (ICT) age; meanwhile the citizen science projects are cumulative. Data discovery has mostly linked with SciStarter (citizen science community site) and Facebook (social media). In data integration, it is found that most of the projects integrate with global observation. Finally, the study provides the process and procedure of citizen science data management in an effort to contribute the scientific data and the design of data life cycle to academic and governmental works.

show abstract

Understanding crowdsourcing projects: A systematic review of tendencies, workflow, and quality management

Cited by 67 publications

References 21 publications

Crowdsourcing: a systematic review of the literature using text mining

Crowdsourcing: a systematic review of the literature using text mining

The effectiveness of crowdsourcing in knowledge-based industries: the moderating role of transformational leadership and organisational learning

Study on the Data Management of Citizen Science: From the Data Life Cycle Perspective

Contact Info

Product

Resources

About