Voting and commenting mechanisms in ongoing crowdsourcing platforms: A case study of lego ideas platform

Although crowdsourcing, an innovative online call to help solve problems or generate new ideas, has gained much traction in the business word, not much research has been done on the commenting and voting mechanisms. Most of the research has focussed on the why and how businesses crowdsource. To fill...

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Main Author: ALHARBI, Khalid Murzig M.
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Language:English
Published: Institutional Knowledge at Singapore Management University 2018
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Online Access:https://ink.library.smu.edu.sg/etd_coll/163
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1163&context=etd_coll
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spelling sg-smu-ink.etd_coll-11632019-04-10T03:24:56Z Voting and commenting mechanisms in ongoing crowdsourcing platforms: A case study of lego ideas platform ALHARBI, Khalid Murzig M. Although crowdsourcing, an innovative online call to help solve problems or generate new ideas, has gained much traction in the business word, not much research has been done on the commenting and voting mechanisms. Most of the research has focussed on the why and how businesses crowdsource. To fill the gap, this research focusses on the commenting and voting mechanisms and aims to analyse the effectiveness of the commenting and voting mechanism in an ongoing crowdsourcing platform, Lego Idea. Using Python software, 8663 comments were extracted from the Lego Ideas platform. These comments were then manually categorised into 10 variables based on a taxonomy of categories built from a combination of another scholars’ work and this researcher’s effort. The approved and rejected projects set of data resemble each other to a great extent. Hence, the results of both the data sets show very little or no difference in the responses. This further signifies that the chosen variables for the research analysis only play a partial role in determining the success or failure of the submitted projects of Lego. When the contributors share more of their personal stories and experiences, the number of comments on the submitted idea also increases. Sharing personal stories or experiences of the submitters as well as the commenters, in relation to the project designed, motivated the contributors to make a point about the content or design of the project. 2018-12-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/etd_coll/163 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1163&context=etd_coll http://creativecommons.org/licenses/by-nc-nd/4.0/ Dissertations and Theses Collection (Open Access) eng Institutional Knowledge at Singapore Management University Crowdsourcing Lego Ideas platform Commenting Voting Ongoing Crowdsourcing. Business Administration, Management, and Operations Technology and Innovation
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Crowdsourcing
Lego Ideas platform
Commenting
Voting
Ongoing Crowdsourcing.
Business Administration, Management, and Operations
Technology and Innovation
spellingShingle Crowdsourcing
Lego Ideas platform
Commenting
Voting
Ongoing Crowdsourcing.
Business Administration, Management, and Operations
Technology and Innovation
ALHARBI, Khalid Murzig M.
Voting and commenting mechanisms in ongoing crowdsourcing platforms: A case study of lego ideas platform
description Although crowdsourcing, an innovative online call to help solve problems or generate new ideas, has gained much traction in the business word, not much research has been done on the commenting and voting mechanisms. Most of the research has focussed on the why and how businesses crowdsource. To fill the gap, this research focusses on the commenting and voting mechanisms and aims to analyse the effectiveness of the commenting and voting mechanism in an ongoing crowdsourcing platform, Lego Idea. Using Python software, 8663 comments were extracted from the Lego Ideas platform. These comments were then manually categorised into 10 variables based on a taxonomy of categories built from a combination of another scholars’ work and this researcher’s effort. The approved and rejected projects set of data resemble each other to a great extent. Hence, the results of both the data sets show very little or no difference in the responses. This further signifies that the chosen variables for the research analysis only play a partial role in determining the success or failure of the submitted projects of Lego. When the contributors share more of their personal stories and experiences, the number of comments on the submitted idea also increases. Sharing personal stories or experiences of the submitters as well as the commenters, in relation to the project designed, motivated the contributors to make a point about the content or design of the project.
format text
author ALHARBI, Khalid Murzig M.
author_facet ALHARBI, Khalid Murzig M.
author_sort ALHARBI, Khalid Murzig M.
title Voting and commenting mechanisms in ongoing crowdsourcing platforms: A case study of lego ideas platform
title_short Voting and commenting mechanisms in ongoing crowdsourcing platforms: A case study of lego ideas platform
title_full Voting and commenting mechanisms in ongoing crowdsourcing platforms: A case study of lego ideas platform
title_fullStr Voting and commenting mechanisms in ongoing crowdsourcing platforms: A case study of lego ideas platform
title_full_unstemmed Voting and commenting mechanisms in ongoing crowdsourcing platforms: A case study of lego ideas platform
title_sort voting and commenting mechanisms in ongoing crowdsourcing platforms: a case study of lego ideas platform
publisher Institutional Knowledge at Singapore Management University
publishDate 2018
url https://ink.library.smu.edu.sg/etd_coll/163
https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=1163&context=etd_coll
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