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Volunteer selection based on crowdsourcing approach

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Abstract

Voluntary work is important today’s world. There are various versions of the volunteer management system referenced in industry resources. Several organizations have developed volunteer management systems designed to incorporate spontaneous volunteers. However, it can be difficult to find and recruit suitable volunteers for volunteer organizations because the volunteers have many criteria to match with tasks. Also, we still have lacking information on the process of crowdsourcing in volunteering perspective. This paper, we conduct a review of volunteering management systems and crowdsourcing approach. Based on the insights derived from this analysis, we identify some issues for future research. To solve this problem, we designed a framework for the crowdsourcing approach in volunteering system to automate the process of selection volunteers and match with the criteria of volunteers and tasks. Crowdsourcing is one of the best approaches to get more information and faster from the crowd and to be more precise with the requirement from beneficiaries. Fuzzy systems are suitable for such decision-making environments. The implications of the findings for volunteering system are discussed, and future research directions suggested.

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Acknowledgements

The authors would like to express their gratitude to the First EAI International Conference on Computer Science and Engineering (COMPSE) 2016 in November 2016 at Penang, Malaysia. The authors also would like to acknowledge to Universiti Teknikal Malaysia Melaka (UTeM) and the Ministry of Higher Education Malaysia (MOHE) for the resources as well as the MyBrain15 scholarship.

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  1. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM), Melaka, Malaysia

    Nurulhasanah Mazlan, Sharifah Sakinah Syed Ahmad & Massila Kamalrudin

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  1. Nurulhasanah Mazlan
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  2. Sharifah Sakinah Syed Ahmad
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  3. Massila Kamalrudin
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Correspondence to Nurulhasanah Mazlan.

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Mazlan, N., Syed Ahmad, S.S. & Kamalrudin, M. Volunteer selection based on crowdsourcing approach. J Ambient Intell Human Comput 9, 743–753 (2018). https://doi.org/10.1007/s12652-017-0490-8

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