As academic and practitioner studies on crowdsourcing have been building up since 2006, the subject itself has progressively gained in importance within the broad field of management. No systematic review on the topic has so far appeared in management journals, however; moreover, the field suffers from ambiguity in the topic's definition, which in turn has led to its largely unstructured evolution. The authors therefore investigate the existing body of knowledge on crowdsourcing systematically through a penetrating review in which the strengths and weakness of this literature stream are presented clearly and then future avenues of research are set out. The review is based on 121 scientific articles published between January 2006 and January 2015. The review recognizes that crowdsourcing is ingrained in two mainstream disciplines within the broader subject matter of innovation and management: (1) open innovation; and (2) co-creation. The review, in addition, also touches on several issues covered in other theoretical streams: (3) information systems management; (4) organizational theory and design; (5) marketing; and (6) strategy. The authors adopt a process perspective, applying the ‘Input–Process–Output’ framework to interpret research on crowdsourcing within the broad lines of: (1) Input (Problem/Task); (2) Process (session management; problem management; knowledge management; technology); and (3) Outcome (solution/completed task; seekers’ benefits; solvers’ benefits). This framework provides a detailed description of how the topic has evolved over time, and suggestions concerning the future direction of research are proposed in the form of research questions that are valuable for both academics and managers.

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Crowdsourcing: A Review and Suggestions for Future Research

Two parallel phenomena are gaining attention in human–computer interaction research: gamification and crowdsourcing Because crowdsourcing's success depends on a mass of motivated crowdsourcees, crowdsourcing platforms have increasingly been imbued with motivational design features borrowed from games; a practice often called gamification While the body of literature and knowledge of the phenomenon have begun to accumulate, we still lack a comprehensive and systematic understanding of conceptual foundations, knowledge of how gamification is used in crowdsourcing, and whether it is effective We first provide a conceptual framework for gamified crowdsourcing systems in order to understand and conceptualize the key aspects of the phenomenon The paper's main contributions are derived through a systematic literature review that investigates how gamification has been examined in different types of crowdsourcing in a variety of domains This meticulous mapping, which focuses on all aspects in our framework, enables us to infer what kinds of gamification efforts are effective in different crowdsourcing approaches as well as to point to a number of research gaps and lay out future research directions for gamified crowdsourcing systems Overall, the results indicate that gamification has been an effective approach for increasing crowdsourcing participation and the quality of the crowdsourced work; however, differences exist between different types of crowdsourcing: the research conducted in the context of crowdsourcing of homogenous tasks has most commonly used simple gamification implementations, such as points and leaderboards, whereas crowdsourcing implementations that seek diverse and creative contributions employ gamification with a richer set of mechanics

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Gamified crowdsourcing: Conceptualization, literature review, and future agenda

Extant organizational learning theory conceptualizes organizational learning as an internal, member-based process, sometimes supported by, yet often independent of, IT. Recently, however, several organizations have begun to involve non-members systematically in their learning by using crowdsourcing, a form of open innovation enabled by state-of-the-art IT. We examine the phenomenon of IT-enabled organizational learning with crowdsourcing in a longitudinal revelatory case study of one such organization, LEGO (2010-14). We studied the LEGO Cuusoo crowdsourcing platform’s secret test in Japan, its widely recognized global launch, and its success in generating top-selling LEGO models. Based on an analysis of how crowdsourcing contributes to the organizational learning at LEGO, we propose the “ambient organizational learning” framework. The framework accommodates both traditional, member-based organizational learning and IT-enabled, nonmember-based organizational learning with crowdsourcing.

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Organizational Learning with Crowdsourcing: The Revelatory Case of LEGO

The Printing Revolution in Early Modern Europe

This study explores the role of social media in social change by analyzing Twitter data collected during the 2011 Egypt Revolution. Particular attention is paid to the notion of collective sense making, which is considered a critical aspect for the emergence of collective action for social change. We suggest that collective sense making through social media can be conceptualized as human-machine collaborative information processing that involves an interplay of signs, Twitter grammar, humans, and social technologies. We focus on the occurrences of hashtags among a high volume of tweets to study the collective sense-making phenomena of milling and keynoting. A quantitative Markov switching analysis is performed to understand how the hashtag frequencies vary over time, suggesting structural changes that depict the two phenomena. We further explore different hashtags through a qualitative content analysis and find that, although many hashtags were used as symbolic anchors to funnel online users' attention to the Egypt Revolution, other hashtags were used as part of tweet sentences to share changing situational information. We suggest that hashtags functioned as a means to collect information and maintain situational awareness during the unstable political situation of the Egypt Revolution.

Research Note-Role of Social Media in Social Change: An Analysis of Collective Sense Making During the 2011 Egypt Revolution

Crowd sourcing is a collaboration model enabled by people-centric web technologies to solve individual, organizational, and societal problems using a dynamically formed crowd of people who respond to an open call for participation. We report on a literature survey of crowd sourcing research, focusing on top journals and conferences in the Information Systems (IS) field. To our knowledge, ours is the first effort of this type in the IS discipline. Contributions include providing a synopsis of crowd sourcing research to date, a common definition for crowd sourcing, and a conceptual model for guiding future studies of crowd sourcing. We show how existing IS literature applies to the elements of that conceptual model: Problem, People (Problem Owner, Individual, and Crowd), Governance, Process, Technology, and Outcome. We close with suggestions for future research.

Conceptual Foundations of Crowdsourcing: A Review of IS Research

Crowdsourcing, originally defined as “taking a job traditionally performed by a designated agent (usually an employee) and outsourcing it to an undefined, generally large group of people in an open call,” is a distributed, collaborative, crossorganizational process seeing increased use among practitioners. As such, crowdsourcing presents great opportunities for information systems (IS) and business-related research. This paper presents preliminary findings from a foundational literature review of published crowdsourcing research from 2006 onward. We identify what crowdsourcing research is going on, where it is going on, and its foci. Our findings document increasing research interest in crowdsourcing and identify the primary publication outlets and home countries of authors involved in that research. Finally, we present a keyword analysis for identified articles, and relate those keywords to a preliminary framework describing crowdsourcing. These findings provide a good summary of current crowdsourcing research, and will help guide researchers interested in further crowdsourcing study.

Crowdsourcing: A snapshot of published research

Cyberbullying is a major cyber issue that is common among adolescents. Recent reports show that more than one out of five students in the United States is a victim of cyberbullying. Majority of cyberbullying incidents occur on public social media platforms such as Twitter. Automated cyberbullying detection methods can help prevent cyberbullying before the harm is done on the victim. In this study, we analyze two corpora of cyberbullying tweets from similar incidents to construct and validate an automated detection model. Our method emphasizes the two claims that are supported by our results. First, despite other approaches that assume that cyberbullying instances use vulgar or profane words, we show that they do not necessarily contain negative words. Second, we highlight the importance of context and the characteristics of actors involved and their position in the network structure in detecting cyberbullying rather than only considering the textual content in our analysis.

A Socio-Contextual Approach in Automated Detection of Public Cyberbullying on Twitter

Decision-making process underlying bystanders’ helping cyberbullying victims: A behavioral economic analysis of role of social discounting

This research in progress study explores the role of Twitter during the 2011 Egypt revolution. Drawing on a research method of historians who investigated the role of print technology during the Protestant Reformation in Western Europe during the early 16th century, we explicate the socio-technical implications of information diffusion through retweeting during radical social changes. Through retweet analysis, we identify inseparable dynamics of (1) existence of a few opinion leaders, (2) a large number of supporting individuals, and (3) the emergence of attendant collective sensemaking process as a critical antecedent of radical social changes.

Nargess Tahmasbi

Papers

Conceptual Foundations of Crowdsourcing: A Review of IS Research

Crowdsourcing: A snapshot of published research

A Socio-Contextual Approach in Automated Detection of Public Cyberbullying on Twitter

Decision-making process underlying bystanders’ helping cyberbullying victims: A behavioral economic analysis of role of social discounting

A sociotechnical view of information diffusion and social changes : from reprint to retweet