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Temporal Motivations of Volunteers to Participate in Cultural Crowdsourcing Work

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  • Sultana Lubna Alam

    (Department of Information Systems and Business Analytics, Deakin Business School, Deakin University, Geelong, VIC 3125, Australia)

  • John Campbell

    (Research School of Management, ANU College of Business and Economics, Australian National University, Canberra, ACT 0200, Australia)

Abstract

Crowdsourcing (CS) by cultural and heritage institutions engage volunteers in online projects without monetary compensation. Uncertainty concerning online volunteer motivation has led to a growing body of academic research. This study contributes to that debate, by extending focus to CS volunteer work in nonprofit cultural institutions where no monetary benefit is offered to volunteers. This study examines motivations of high performing volunteers in a newspaper digitisation CS project, initiated by the National Library of Australia. Volunteers are motivated by personal, collective, and external factors, and these motivations change over time. Volunteers initially show intrinsic motivations, though both intrinsic and extrinsic motivations play a critical role in their continued participation. Volunteer contributions range from data shaping (e.g., correcting digitised optical character recognition data) to knowledge shaping (e.g., shaping historical data through tagging and commenting, but also through development of norms and social roles). The locus of motivation (intrinsic or extrinsic) also changes with different kinds of contributions. The distinction between data and knowledge shaping contributions, and the locus and focus of motivation behind these activities, has implications for the design of CS systems. Design for improved usability through cognitive and physical system affordances and development of social mechanisms for ongoing participation is discussed.

Suggested Citation

  • Sultana Lubna Alam & John Campbell, 2017. "Temporal Motivations of Volunteers to Participate in Cultural Crowdsourcing Work," Information Systems Research, INFORMS, vol. 28(4), pages 744-759, December.
    • Handle: RePEc:inm:orisre:v:28:y:2017:i:4:p:744-759
    DOI: 10.1287/isre.2017.0719
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    References listed on IDEAS

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    Cited by:

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    2. Yuxiang Chris Zhao & Jingwen Lian & Yan Zhang & Shijie Song & Xinlin Yao, 2024. "Value co‐creation in cultural heritage information practices: Literature review and future agenda: An Annual Review of Information Science and Technology (ARIST) paper," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(3), pages 298-323, March.
    3. Nam, Jinyoung & Jung, Yoonhyuk, 2022. "Exploring fans’ participation in digital media: Transcreation of webtoons," Telecommunications Policy, Elsevier, vol. 46(10).
    4. Kaur, Milan Preet & Smith, Safron & Pazour, Jennifer A. & Duque Schumacher, Ana, 2022. "Optimization of volunteer task assignments to improve volunteer retention and nonprofit organizational performance," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    5. Rohit Aggarwal & Michael J. Lee & Vishal Midha, 2023. "Differential Impact of Content in Online Communication on Heterogeneous Candidates: A Field Study in Technical Recruitment," Information Systems Research, INFORMS, vol. 34(2), pages 609-628, June.
    6. Kaur, Milan Preet & Pazour, Jennifer A. & Ausseil, Rosemonde, 2024. "An optimization framework to provide volunteers with task selection autonomy and group opportunities," Socio-Economic Planning Sciences, Elsevier, vol. 96(C).
    7. Xiaochuan Song & Graham H. Lowman & Peter Harms, 2020. "Justice for the Crowd: Organizational Justice and Turnover in Crowd-Based Labor," Administrative Sciences, MDPI, vol. 10(4), pages 1-37, November.

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