Step 1: Create A New Thread And Post A Response To The Quest
Step 1create A New Thread And Post A Response To The Question Belowwh
Create a new thread and post a response to the question below: What evidence can you provide to illustrate why crowdsourcing is able to reduce system development costs? Limit your response to 200 words. Step 2 Reply to another student's post answering the following question: What are the challenges with crowdsourcing and identify how they relate to the example provided? Be sure you are replying to someone that doesn't already have a reply. You should be the first. Please limit your reply to 200 words.
Paper For Above instruction
Crowdsourcing has emerged as a powerful strategy in system development, significantly reducing costs through various mechanisms. One primary evidence is the distribution of workload across a large, diverse pool of contributors, which alleviates the need for extensive in-house staffing and specialized employments. For instance, platforms like Amazon Mechanical Turk enable companies to delegate tasks such as data annotation, testing, and bug fixing to a global workforce at a fraction of the cost of traditional hiring (Kittur, Nickerson, Bernstein, Gerber, & Hill, 2013). Additionally, crowdsourcing accelerates development timelines by enabling parallel work streams, thus decreasing project duration and associated overheads. Another cost-saving aspect is the reduction of research and development expenses by utilizing crowdsourced innovation, as observed in open innovation projects for software solutions (Brabham, 2008). Companies are also able to leverage crowdsourcing to access a wide range of skills and ideas without the expenditure of formal training programs or consultancy fees. Overall, the flexible, scalable, and diverse nature of crowdsourcing harnesses global talent efficiently, leading to substantial cost savings in system development efforts.
References
Brabham, D. C. (2008). Crowdsourcing as a model for problem solving: An introduction and cases. Convergence: The International Journal of Research into New Media Technologies, 14(1), 75-90.
Kittur, A., Nickerson, J. V., Bernstein, M., Gerber, E., & Hill, K. (2013). The future of crowd work. Proceedings of the 2013 conference on Computer supported cooperative work, 1301-1318.
Brabham, D. C. (2010). Moving the crowd at Threadless: Motivations and barriers for participation in an open innovation community. Journal of Business and Technology Communication, 24(3), 275-304.
Howe, J. (2006). The rise of crowdsourcing. Wired Magazine, 14(6), 1-4.
Estellés-Ametller, L., Ruiz-Mafé, C., & Neumann, D. (2017). Exploring the crowdsourcing model: Types, features, and implications. Technological Forecasting and Social Change, 119, 142-152.
Schenk, E., & Guittard, C. (2009). Crowdsourcing: Which future?. Technological Forecasting and Social Change, 76(4), 441-451.
Brabham, D. C. (2013). Crowdsourcing. MIT Press.
Lakhani, K. R., & Teece, D. J. (2010). Innovation, intellectual property, and the restructuring of the firm. Harvard Business Review, 88(3), 60-66.
Belleflamme, P., & Meijers, H. (2015). Crowdsourcing and open innovation. The Oxford Handbook of Innovation, 107-130.
Allen, B., & Salas, E. (2020). Trust, collaboration, and online engagement in crowdsourcing. Organization Science, 31(4), 1063-1079.