Utilizing short version big five traits on crowdsouring

PurposeThe purpose of this paper is to examine the efficacy of the Japanese ten-item personality inventory (TIPI-J), a short version of the big five (BF) questionnaire, on crowdsourcing. The BF traits are indicators of personality and are said to be an effective predictor of study performance in var...

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Main Authors: Kousaku Igawa, Kunihiko Higa, Tsutomu Takamiya
Format: Article
Language:English
Published: Tsinghua University Press 2020-06-01
Series:International Journal of Crowd Science
Subjects:
Online Access:https://www.sciopen.com/article/10.1108/IJCS-11-2019-0031
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author Kousaku Igawa
Kunihiko Higa
Tsutomu Takamiya
author_facet Kousaku Igawa
Kunihiko Higa
Tsutomu Takamiya
author_sort Kousaku Igawa
collection DOAJ
description PurposeThe purpose of this paper is to examine the efficacy of the Japanese ten-item personality inventory (TIPI-J), a short version of the big five (BF) questionnaire, on crowdsourcing. The BF traits are indicators of personality and are said to be an effective predictor of study performance in various occupations. BF can be used in crowdsourcing to predict crowd workers’ performance; however, it will be difficult to use in practice for two reasons like the time-and-effort issue and the bias issue. In this study, an empirical analysis is conducted on crowdsourcing to examine if TIPI-J can solve those issues.Design/methodology/approachTo investigate the issues, two tasks are posted on a crowdsourcing provider. Both TIPI-J and full version BF are conducted before and after selecting crowd workers. Structural validity and convergence validity are tested with correlation analysis between before (TIPI-J) and after (full version BF) data to examine the bias issue. Additionally, those correlations are compared with previous study and significances are examined.FindingsThe correlations in “conscientiousness” is 0.45-0.50, respectively, compared with a previous study, those two correlations did not show significance. This indicates that no clear bias exists.Originality/valueThis is the first research to investigate the efficacy of TIPI-J on crowdsourcing and showed that TIPI-J can be a useful tool for predicting crowd workers’ performance and thus it can help to select appropriate crowd workers.
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spelling doaj.art-c271fcfc455f483ca50cce8de240a00a2022-12-22T04:07:31ZengTsinghua University PressInternational Journal of Crowd Science2398-72942020-06-014211713210.1108/IJCS-11-2019-0031Utilizing short version big five traits on crowdsouringKousaku Igawa0Kunihiko Higa1Tsutomu Takamiya2Innovation Management, Tokyo Institute of Technology, Tokyo, JapanTokyo Institute of Technology, Tokyo, JapanTokyo Institute of Technology, Tokyo, JapanPurposeThe purpose of this paper is to examine the efficacy of the Japanese ten-item personality inventory (TIPI-J), a short version of the big five (BF) questionnaire, on crowdsourcing. The BF traits are indicators of personality and are said to be an effective predictor of study performance in various occupations. BF can be used in crowdsourcing to predict crowd workers’ performance; however, it will be difficult to use in practice for two reasons like the time-and-effort issue and the bias issue. In this study, an empirical analysis is conducted on crowdsourcing to examine if TIPI-J can solve those issues.Design/methodology/approachTo investigate the issues, two tasks are posted on a crowdsourcing provider. Both TIPI-J and full version BF are conducted before and after selecting crowd workers. Structural validity and convergence validity are tested with correlation analysis between before (TIPI-J) and after (full version BF) data to examine the bias issue. Additionally, those correlations are compared with previous study and significances are examined.FindingsThe correlations in “conscientiousness” is 0.45-0.50, respectively, compared with a previous study, those two correlations did not show significance. This indicates that no clear bias exists.Originality/valueThis is the first research to investigate the efficacy of TIPI-J on crowdsourcing and showed that TIPI-J can be a useful tool for predicting crowd workers’ performance and thus it can help to select appropriate crowd workers.https://www.sciopen.com/article/10.1108/IJCS-11-2019-0031human resourcequality evaluationwork performancecrowdsourcingbig fivetask assignment
spellingShingle Kousaku Igawa
Kunihiko Higa
Tsutomu Takamiya
Utilizing short version big five traits on crowdsouring
International Journal of Crowd Science
human resource
quality evaluation
work performance
crowdsourcing
big five
task assignment
title Utilizing short version big five traits on crowdsouring
title_full Utilizing short version big five traits on crowdsouring
title_fullStr Utilizing short version big five traits on crowdsouring
title_full_unstemmed Utilizing short version big five traits on crowdsouring
title_short Utilizing short version big five traits on crowdsouring
title_sort utilizing short version big five traits on crowdsouring
topic human resource
quality evaluation
work performance
crowdsourcing
big five
task assignment
url https://www.sciopen.com/article/10.1108/IJCS-11-2019-0031
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