A proposed model for the selection of workers on crowdsourcing platforms utilizing nested criteria matching

The objective of this study is to examine the concept of crowdsourcing and the corresponding method for employee selection. In recent years, there has been a growing trend towards the utilization of crowdsourcing, wherein both businesses and individuals harness the power of collective cooperation to...

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Main Authors: Cucus, Ahmad, Mubarak Ali, Al-Fahim, Zafril Rizal, M. Azmi
Format: Article
Language:English
Published: Tianjin University 2024
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/40253/
http://umpir.ump.edu.my/id/eprint/40253/1/A%20proposed%20model%20for%20the%20selection%20of%20workers%20on%20crowdsourcing%20platforms%20utilizing%20nested%20criteria%20matching.pdf
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author Cucus, Ahmad
Mubarak Ali, Al-Fahim
Zafril Rizal, M. Azmi
author_facet Cucus, Ahmad
Mubarak Ali, Al-Fahim
Zafril Rizal, M. Azmi
author_sort Cucus, Ahmad
building UMP Institutional Repository
collection Online Access
description The objective of this study is to examine the concept of crowdsourcing and the corresponding method for employee selection. In recent years, there has been a growing trend towards the utilization of crowdsourcing, wherein both businesses and individuals harness the power of collective cooperation to provide solutions, ideas, or contributions across several domains, including but not limited to product development and scientific research. This study examines the concept of crowdsourcing as a means of gathering occupations or tasks completed by individuals with diverse qualifications. In this study, we examine the worker selection mechanism as explored in prior research and put forth a novel worker selection model incorporating a profile matching algorithm. The subsequent phase involves enhancing the profile matching algorithm to accommodate nested criteria for matching worker requirements. Upon concluding the investigation, a comparative analysis was conducted to assess the outcomes of matching workers' criteria using both single criterion and nested criteria. Additionally, the proposed formula was implemented to evaluate the case involving nested criteria. The findings reveal substantial disparities between the suggested workforces, particularly in terms of their composition. The proposed workforce with nested criteria exhibits a reduced and more precise numerical representation compared to the proposed workforce with a single criterion. This demonstrates that the utilization of the proposed selection model offers a viable solution to the challenge of identifying workers with layered criteria.
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spelling ump-402532024-02-02T05:09:21Z http://umpir.ump.edu.my/id/eprint/40253/ A proposed model for the selection of workers on crowdsourcing platforms utilizing nested criteria matching Cucus, Ahmad Mubarak Ali, Al-Fahim Zafril Rizal, M. Azmi QA75 Electronic computers. Computer science The objective of this study is to examine the concept of crowdsourcing and the corresponding method for employee selection. In recent years, there has been a growing trend towards the utilization of crowdsourcing, wherein both businesses and individuals harness the power of collective cooperation to provide solutions, ideas, or contributions across several domains, including but not limited to product development and scientific research. This study examines the concept of crowdsourcing as a means of gathering occupations or tasks completed by individuals with diverse qualifications. In this study, we examine the worker selection mechanism as explored in prior research and put forth a novel worker selection model incorporating a profile matching algorithm. The subsequent phase involves enhancing the profile matching algorithm to accommodate nested criteria for matching worker requirements. Upon concluding the investigation, a comparative analysis was conducted to assess the outcomes of matching workers' criteria using both single criterion and nested criteria. Additionally, the proposed formula was implemented to evaluate the case involving nested criteria. The findings reveal substantial disparities between the suggested workforces, particularly in terms of their composition. The proposed workforce with nested criteria exhibits a reduced and more precise numerical representation compared to the proposed workforce with a single criterion. This demonstrates that the utilization of the proposed selection model offers a viable solution to the challenge of identifying workers with layered criteria. Tianjin University 2024-01 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/40253/1/A%20proposed%20model%20for%20the%20selection%20of%20workers%20on%20crowdsourcing%20platforms%20utilizing%20nested%20criteria%20matching.pdf Cucus, Ahmad and Mubarak Ali, Al-Fahim and Zafril Rizal, M. Azmi (2024) A proposed model for the selection of workers on crowdsourcing platforms utilizing nested criteria matching. Journal of Tianjin University Science and Technology, 57 (1). pp. 196-214. ISSN 0493-2137. (Published) https://tianjindaxuexuebao.com/details.php?id=570115
spellingShingle QA75 Electronic computers. Computer science
Cucus, Ahmad
Mubarak Ali, Al-Fahim
Zafril Rizal, M. Azmi
A proposed model for the selection of workers on crowdsourcing platforms utilizing nested criteria matching
title A proposed model for the selection of workers on crowdsourcing platforms utilizing nested criteria matching
title_full A proposed model for the selection of workers on crowdsourcing platforms utilizing nested criteria matching
title_fullStr A proposed model for the selection of workers on crowdsourcing platforms utilizing nested criteria matching
title_full_unstemmed A proposed model for the selection of workers on crowdsourcing platforms utilizing nested criteria matching
title_short A proposed model for the selection of workers on crowdsourcing platforms utilizing nested criteria matching
title_sort proposed model for the selection of workers on crowdsourcing platforms utilizing nested criteria matching
topic QA75 Electronic computers. Computer science
url http://umpir.ump.edu.my/id/eprint/40253/
http://umpir.ump.edu.my/id/eprint/40253/
http://umpir.ump.edu.my/id/eprint/40253/1/A%20proposed%20model%20for%20the%20selection%20of%20workers%20on%20crowdsourcing%20platforms%20utilizing%20nested%20criteria%20matching.pdf