Determining the Motivating Factors in Mobile Crowdsourcing Participation

Chei Sian Lee; Dion Hoe Lian Goh; Qian Wu; Hang Guo

doi:10.1145/3487664.3487732

Determining the Motivating Factors in Mobile Crowdsourcing Participation

Chei Sian Lee, Dion Hoe Lian Goh, Qian Wu, Hang Guo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Children that go missing is a major global problem, and finding them is imperative. One approach to addressing this problem is through crowdsourcing, in which large groups of people participate and contribute to the cause. Drawing from the lens of Self-Determination and Public Service Motivation theories, this study investigates the role of motivations in mobile crowdsourcing participation. First, this study identified the motivational factors behind participation on a mobile crowdsourcing platform to look for missing children. Next, the study examined the direct and indirect effects of these motivational factors on crowdsourcing participation. Data was collected from 264 respondents from an online survey. Results from structural equation modelling analysis revealed the motivations to volunteer have direct effects while motivations to serve the public have significant indirect effects on mobile crowdsourcing participation. This article concludes by presenting implications, limitations and future research directions.

Original language	English
Title of host publication	23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 - Proceedings
Editors	Eric Pardede, Maria-Indrawan Santiago, Pari Delir Haghighi, Matthias Steinbauer, Ismail Khalil, Gabriele Kotsis
Publisher	Association for Computing Machinery
Pages	479-484
Number of pages	6
ISBN (Electronic)	9781450395564
DOIs	https://doi.org/10.1145/3487664.3487732
Publication status	Published - Nov 29 2021
Externally published	Yes
Event	23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 - Virtual, Online, Austria Duration: Nov 29 2021 → Dec 1 2021

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021
Country/Territory	Austria
City	Virtual, Online
Period	11/29/21 → 12/1/21

Bibliographical note

Publisher Copyright:
© 2021 ACM.

ASJC Scopus Subject Areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Keywords

Crowdsourcing
Facial recognition
Missing children
Motivations
Social media

Access to Document

10.1145/3487664.3487732

Cite this

Lee, C. S., Goh, D. H. L., Wu, Q., & Guo, H. (2021). Determining the Motivating Factors in Mobile Crowdsourcing Participation. In E. Pardede, M.-I. Santiago, P. D. Haghighi, M. Steinbauer, I. Khalil, & G. Kotsis (Eds.), 23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 - Proceedings (pp. 479-484). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3487664.3487732

Lee, Chei Sian ; Goh, Dion Hoe Lian ; Wu, Qian et al. / Determining the Motivating Factors in Mobile Crowdsourcing Participation. 23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 - Proceedings. editor / Eric Pardede ; Maria-Indrawan Santiago ; Pari Delir Haghighi ; Matthias Steinbauer ; Ismail Khalil ; Gabriele Kotsis. Association for Computing Machinery, 2021. pp. 479-484 (ACM International Conference Proceeding Series).

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abstract = "Children that go missing is a major global problem, and finding them is imperative. One approach to addressing this problem is through crowdsourcing, in which large groups of people participate and contribute to the cause. Drawing from the lens of Self-Determination and Public Service Motivation theories, this study investigates the role of motivations in mobile crowdsourcing participation. First, this study identified the motivational factors behind participation on a mobile crowdsourcing platform to look for missing children. Next, the study examined the direct and indirect effects of these motivational factors on crowdsourcing participation. Data was collected from 264 respondents from an online survey. Results from structural equation modelling analysis revealed the motivations to volunteer have direct effects while motivations to serve the public have significant indirect effects on mobile crowdsourcing participation. This article concludes by presenting implications, limitations and future research directions.",

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doi = "10.1145/3487664.3487732",

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Lee, CS , Goh, DHL, Wu, Q & Guo, H 2021, Determining the Motivating Factors in Mobile Crowdsourcing Participation. in E Pardede, M-I Santiago, PD Haghighi, M Steinbauer, I Khalil & G Kotsis (eds), 23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 - Proceedings. ACM International Conference Proceeding Series, Association for Computing Machinery, pp. 479-484, 23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021, Virtual, Online, Austria, 11/29/21. https://doi.org/10.1145/3487664.3487732

Determining the Motivating Factors in Mobile Crowdsourcing Participation. / Lee, Chei Sian ; Goh, Dion Hoe Lian; Wu, Qian et al.
23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 - Proceedings. ed. / Eric Pardede; Maria-Indrawan Santiago; Pari Delir Haghighi; Matthias Steinbauer; Ismail Khalil; Gabriele Kotsis. Association for Computing Machinery, 2021. p. 479-484 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Guo, Hang

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AB - Children that go missing is a major global problem, and finding them is imperative. One approach to addressing this problem is through crowdsourcing, in which large groups of people participate and contribute to the cause. Drawing from the lens of Self-Determination and Public Service Motivation theories, this study investigates the role of motivations in mobile crowdsourcing participation. First, this study identified the motivational factors behind participation on a mobile crowdsourcing platform to look for missing children. Next, the study examined the direct and indirect effects of these motivational factors on crowdsourcing participation. Data was collected from 264 respondents from an online survey. Results from structural equation modelling analysis revealed the motivations to volunteer have direct effects while motivations to serve the public have significant indirect effects on mobile crowdsourcing participation. This article concludes by presenting implications, limitations and future research directions.

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Lee CS , Goh DHL, Wu Q, Guo H. Determining the Motivating Factors in Mobile Crowdsourcing Participation. In Pardede E, Santiago MI, Haghighi PD, Steinbauer M, Khalil I, Kotsis G, editors, 23rd International Conference on Information Integration and Web Intelligence, iiWAS 2021 - Proceedings. Association for Computing Machinery. 2021. p. 479-484. (ACM International Conference Proceeding Series). doi: 10.1145/3487664.3487732

Determining the Motivating Factors in Mobile Crowdsourcing Participation

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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