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Determining the Motivating Factors in Mobile Crowdsourcing Participation

Published: 30 December 2021 Publication History

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.

References

[1]
James C. Anderson and David W. Gerbing. 1988. Structural equation modeling in practice: A review and recommended two-wtep approach. PSYCHOL.BULL. 103, 3 (May 1988), 411–423.
[2]
Kenneth Bollen. 1990. Overall fit in covariance structure models: Two types of sample size effects. Psychological Bulletin 107, (March 1990), 256–259.
[3]
Daren C. Brabham. 2012. Motivations for participation in a crowdsourcing application to improve public engagement in transit planning. Journal of Applied Communication Research 40, 3 (August 2012), 307–328.
[4]
Emily Clary, Mark Snyder, Robert D. Ridge, Judith Copeland, Arthur Anthony Stukas, Joel Haugen, and Peter Miene. 1998. Understanding and assessing the motivations of volunteers: a functional approach. Journal of personality and social psychology 74, 6 (1998), 1516–1530.
[5]
Nathan Eagle (Ed.). 2009. Mobile crowdsourcing. In Internationalization, Design and Global Development: Third International Conference, IDGD 2009, Held as Part of HCI International 2009, San Diego, CA, USA,July 19-24, 2009, Proceedings. Springer Berlin Heidelberg, Berlin Heidelberg, 447–456.
[6]
Monique Emser and Marcel Van der Watt. 2019. #Stillnotfound: Missing children in South Africa. Alternation: Interdisciplinary Journal for the Study of the Arts and Humanities in Southern Africa (December 2019).
[7]
Marcia A. Finkelstien. 2009. Intrinsic vs. extrinsic motivational orientations and the volunteer process. Personality and Individual Differences 46, 5 (April 2009), 653–658.
[8]
Dion Hoe-Lian Goh, Chei Sian Lee, and Hang Guo. 2018. Finding trafficked children through crowdsourcing. Proceedings of the Association for Information Science and Technology 55, 1 (2018), 811–812.
[9]
Joseph F. Hair, William C. Black, Barry J. Babin, and Rolph E. Anderson. 2009. Multivariate Data Analysis (7th Edition ed.). Pearson Education Limited.
[10]
Jeff Howe. 2006. The Rise of Crowdsourcing. Wired. Retrieved July 5, 2020 from https://www.wired.com/2006/06/crowds/
[11]
D Knoke and I.c Wright Isak. 1982. Individual motives and organizational incentive systems. Research in the Sociology of Organizations 1, 2 (1982), 209–254.
[12]
Chei Sian Lee, Dion Hoe-Lian Goh, Alton Y. K. Chua, and Rebecca P. Ang. 2010. Indagator: Investigating perceived gratifications of an application that blends mobile content sharing with gameplay. Journal of the American Society for Information Science and Technology 61, 6 (2010), 1244–1257.
[13]
Chei Sian Lee, Dion Hoe-Lian Goh, Hamzah Osop, Sei-Ching Joanna Sin, and Yin Leng Theng. 2017. Public services or private gains: Motives behind participation on a mobile crowdsourcing application in a smart city. Proceedings of the Association for Information Science and Technology 54, 1 (2017), 495–498.
[14]
Chei Sian Lee, Dion Hoe-Lian Goh, Quan Zhou, Sei-Ching Joanna Sin, and Yin Leng Theng. 2020. Integrating motives and usability to examine community crowdsourcing. Proceedings of the Association for Information Science and Technology 57, 1 (2020), e353.
[15]
Missing people.org. 2020. Missing people.org. Retrieved July 5, 2020 from https://www.missingpeople.org.uk/about-us/about-the-issue/research/76-keyinformation2.html
[16]
Vaggelis Mourelatos, Manolis Tzagarakis, and Efthalia Dimara. 2016. A review of online crowdsourcing platforms. South-Eastern Europe Journal of Economics 14, (April 2016), 59–74.
[17]
John Penn. 2020. A role for technology in helping find missing children. Adobe Blog. Retrieved July 5, 2020 from https://theblog.adobe.com/a-role-for-technology-in-helping-find-missing-children/
[18]
James L. Perry. 1996. Measuring public service motivation: An assessment of construct reliability and validity. Journal of Public Administration Research and Theory: J-PART 6, 1 (1996), 5–22.
[19]
James L. Perry and Lois Recascino Wise. 1990. The motivational bases of public service. Public Administration Review 50, 3 (1990), 367–373.
[20]
Richard M Ryan and Edward L Deci. 2000. Self-Determination Theory and the facilitation of intrinsic motivation. American Psychologist (2000), 68–78.
[21]
Richard M. Ryan and Edward L. Deci. 2000. Intrinsic and Extrinsic motivations: Classic definitions and new directions. Contemporary Educational Psychology 25, 1 (January 2000), 54–67.
[22]
Daniel Schneider, Jano de Souza, and Edson Mello Lucas. 2014. Towards a typology of social news apps from a Crowd Computing perspective. In 2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 1134–1140.
[23]
Andrea J. Sedlak, David Finkelhor, Heather Hammer, and Schultz Dana. 2002. National Estimates of Missing Children: An Overview. American Psychological Association.
[24]
B. J. Shen, Q. Fan, J. S. Huang, M. H. R. Ho, W. J. Mack, and H. N. Hodis. 2019. Hierarchical measurement structure in the Women's Health Questionnaire: a confirmatory factor analysis. Climacteric 22, 5 (September 2019), 448–453.
[25]
Mark Snyder, E. Clary, and Arthur Stukas. 2000. The functional approach to volunteerism. In Why we evaluate: Functions of attitudes. Lawrence Erlbaum Associates, Hillsdale, NJ, 365–393.
[26]
James H. Steiger. 1980. Statistically based tests for the number of common factors. Iowa City, IA.
[27]
James Surowiecki. 2004. The wisdom of crowds: Why the many are smarter than the few and how collective wisdom shapes business, economies, societies, and nations. Doubleday & Co, New York, NY, US.

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    iiWAS2021: The 23rd International Conference on Information Integration and Web Intelligence
    November 2021
    658 pages
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 30 December 2021

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    Author Tags

    1. Crowdsourcing
    2. Facial recognition
    3. Missing children
    4. Motivations
    5. Social media

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