Rules of Crowdsourcing: Models, Issues, and Systems of Control
@article{Saxton2013RulesOC, title={Rules of Crowdsourcing: Models, Issues, and Systems of Control}, author={Gregory D. Saxton and Onook Oh and Rajiv Kishore}, journal={Information Systems Management}, year={2013}, volume={30}, pages={2 - 20} }
In this article, the authors first provide a practical yet rigorous definition of crowdsourcing that incorporates “crowds,” outsourcing, and social web technologies. [] Key Method They then analyze 103 well-known crowdsourcing web sites using content analysis methods and the hermeneutic reading principle. Based on their analysis, they develop a “taxonomic theory” of crowdsourcing by organizing the empirical variants in nine distinct forms of crowdsourcing models. They also discuss key issues and directions…
326 Citations
Crowdsourcing Designs : A Synthesis of Literatures
- Business
- 2016
Crowdsourcing is a phenomenon emerging in various sectors and industries that provides an opportunity for governments to collaborate with the public to generate information, deliver public services,…
Crowdsourcing Government: Lessons from Multiple Disciplines
- Political Science, Business
- 2017
Crowdsourcing has proliferated across disciplines and professional fields. Implementers in the public sector face practical challenges, however, in the execution of crowdsourcing. This review…
Who is in Control in Crowdsourcing Initiatives? An Examination of the Case of Crowdmapping
- BusinessSCIS/IFIP8.6
- 2016
The analysis reveals the paradox of crowd interaction and owner control in crowdsourcing and shows the crowd to be made up of knowledgeable and reflexive groups that effectively tackle methods aimed at controlling them.
Crowd Science: Measurements, Models, and Methods
- Computer Science2016 49th Hawaii International Conference on System Sciences (HICSS)
- 2016
This work anchors ourselves in the Theory of Crowd Capital, a generalizable framework for studying IT-mediated crowd-engagement phenomena, and puts forth an empirical apparatus of testable measures and generalizable methods to begin to unify the field of crowd science.
What can crowdsourcing do for decision support?
- Business, Computer ScienceDecis. Support Syst.
- 2014
An Empirical Analysis of User Participation on Crowdsourcing Platform: A Two-sided Network Market Perspective
- BusinessICIS
- 2015
This study uses longitudinal transaction data from a crowdsourcing websites to empirically examine how the participation of professionals and customers, task reward and task completion rate are affected by the characteristics of the professionals such as distribution of the winning professionals and their reputation.
Towards an Understanding of Participants’ Sustained Participation in Crowdsourcing Contests
- BusinessInf. Syst. Manag.
- 2020
It is found that tenure, previous performance, price amount, number of competitors, and competition duration have a statistically significant effect on individuals’ continued participation in crowdsourcing contests.
A survey of the use of crowdsourcing in software engineering
- Computer ScienceJ. Syst. Softw.
- 2017
Recommendations on adapting crowdsourcing to problem types
- Computer Science2015 IEEE 9th International Conference on Research Challenges in Information Science (RCIS)
- 2015
This paper study the adaptation of crowdsourcing settings to fit the nature of the problem being crowdsourced, and identifies a set of recommendations on how to set up crowdsourcing to fit each of the five common categories of problems.
References
SHOWING 1-10 OF 40 REFERENCES
Crowdsourcing as a Model for Problem Solving
- Business, Computer Science
- 2008
An introduction to crowdsourcing is provided, both its theoretical grounding and exemplar cases, taking care to distinguish crowdsourcing from open source production.
Crowdsourcing: Why the Power of the Crowd is Driving the Future of Business
- Computer Science
- 2010
A new concept has emerged that is changing the way the business world operates and many research and development (R&D) problems in a particular area are being solved.
Crowdsourcing: Why the Power of the Crowd Is Driving the Future of Business
- BusinessHuman Resource Management International Digest
- 2010
The amount of knowledge and talent dispersed among the human race has always outstripped our capacity to harness it. Crowdsourcing corrects thatbut in doing so, it also unleashes the forces of…
Deploying Common Systems Globally: The Dynamics of Control
- BusinessInf. Syst. Res.
- 2004
Results of two case studies suggest control is exercised differently for each phase of large IS projects and that changes in control choices from one project phase to another are triggered by factors in the project, stakeholder, and global contexts.
The Value of Openness in Scientific Problem Solving
- Computer Science
- 2007
It is shown that disclosure of problem information to a large group of outside solvers is an effective means of solving scientific problems and indicates a transfer of knowledge from one field to others.
Is the World Really Flat? A Look at Offshoring in an Online Programming Marketplace
- EconomicsMIS Q.
- 2006
An online programming marketplace is examined and it is found that this profound tilt to low-wage nations is overstated, and the strongest determinant of the winning bid is client loyalty.
Building Effective Online Marketplaces with Institution-Based Trust
- BusinessInf. Syst. Res.
- 2002
The study shows that the perceived effectiveness of institutional mechanisms encompasses both "weak" and "strong" mechanisms, which contributes to an effective online marketplace, and helps explain why, despite the inherent uncertainty that arises when buyers and sellers are separated in time and in space, online marketplaces are proliferating.
Business Models on the Web
- Economics
- 2008
Some models are quite simple. A company produces a good or service and sells it to customers. If all goes well, the revenues from sales exceed the cost of operation and the company realizes a profit.…
Organizational information requirements, media richness and structural design
- Business
- 1986
Models are proposed that show how organizations can be designed to meet the information needs of technology, interdepartmental relations, and the environment to both reduce uncertainty and resolve equivocality.
Information quality work organization in wikipedia
- SociologyJ. Assoc. Inf. Sci. Technol.
- 2008
This article analyzes the organization of IQ assurance work in a large-scale, open, collaborative encyclopedia—Wikipedia and believes that the study of those evolving debates and processes and of the IQ assurance model as a whole has useful implications for the improvement of quality in other more conventional databases.