Hypothetical Designs, Crowdsourcing , global network
A popular, large-scale data processing technique that has been extensively utilized in recent times for tasks that need directhuman input is crowdsourcing. Crowdsourcing, according to Howe and Robinson (2006), refers to a novel online business model and problem-solving technique that utilizes the creative capabilities of a distributed pool of individuals through an open call(Brabham, 2008). Popular examples include Inn-Centive, Threadless, the Golcorp Challenge, Netflix, user-generated advertising competitions, Amazon Mechanical Turk, and iStockphoto among others(Brabham, 2008). The fact that crowdsourcing is dependent on large, distributed; global network of individuals, raises a set of new challenges. These challenges, which include dishonesty and plausible misjudgments, threaten the quality of results obtained through this process. Certain measures have, however, been put in place, to ensure high quality, and error free results. There is little or no attention given to the efficiency and throughput of the crowdsourcing process or the integrity of the results obtained.
It is argued that the numbers of task workers and tasks are always small, thereby, resulting in crowdsourcing techniques that are not conscious of the number of tasks, potential worker behavior and efficiency of the process. This research aims at proposing a crowdsourcing, result-improvement technique that is independent of task complexity and sizes and ensures result quality, integrity, as well as efficiency and throughput of the process. The hypothesis being studied in this case is that crowdsourcing result-improvement techniques that are task size and complexity independent ensures result integrity, quality, efficiency as well as throughput.
[...] Crowdsourcing - Hypothetical Designs Contents I. Envisioned Research Problem II. Hypothetical Designs III. Quantitative design IV. Qualitative Design V. Mixed Methods Design Envisioned Research Problem A popular, large-scale data processing technique that has been extensively utilized in recent times for tasks that need directhuman input is crowdsourcing. Crowdsourcing, according to Howe and Robinson (2006), refers to a novel online business model and problem-solving technique that utilizes the creative capabilities of a distributed pool of individuals through an open call(Brabham, 2008). [...]
[...] There is little or no attention given to the efficiency and throughput of the crowdsourcing process or the integrity of the results obtained. It is argued that the numbers of task workers and tasks are always small, thereby, resulting in crowdsourcing techniques that are not conscious of the number of tasks, potential worker behavior and efficiency of the process. This research aims at proposing a crowdsourcing, result- improvement technique that is independent of task complexity and sizes and ensures result quality, integrity, as well as efficiency and throughput of the process. [...]
[...] This design hypothesis would be ideal and appropriate for this study, since, data will be collected and evaluated using varying methods and strategies that would result in completing of overlapping and non- overlapping strengths and weaknesses.It will complement the weakness of quantitative, experimental design method that is;it's extremely expensive nature. Additionally, this design is complementary, pluralistic, and inclusive(Eysenck, 2004). References Brabham, D. C. (2008). Crowdsourcing as a Model for Problem Solving. The International Journal of Research into New Media Technologies, 75–90. Eysenck, M. W. (2004). [...]
[...] In this case,the independent variable would be the crowdsourcing techniques, including r-Redundancy, v-Voting, Vote Boosting techniques and the technique that this research will propose. The dependent variables will be integrity, quality, efficiency as well as throughput. Thorough evaluation will be conducted while proper consideration will be given to dishonesty, errors, efficiency or results and on throughput. This will help understand purpose, reality and meaning and make an informed decision. This design will not be appropriate for this study because, it will be difficult to test the proposed crowdsourcing technique against the existing ones since there is no literature or case studies to this effect. [...]
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