A Crowdsourcing Approach for Volunteering System Using Delphi Method

  • Nurulhasanah MazlanEmail author
  • Sharifah Sakinah Syed Ahmad
  • Massila Kamalrudin
Part of the Studies in Computational Intelligence book series (SCI, volume 741)


Voluntary work is an important part of virtually every civilization and society. There are several versions of the volunteer management theory referenced in industry resources. Several organizations have developed organization-based systems designed to incorporate spontaneous volunteers. However, it can be difficult to find and recruit suitable candidates 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. We are using the Delphi method to criteria from volunteer organization. The implications of the findings for volunteering system are discussed, and future research directions suggested.


Volunteering system Volunteering matching Crowdsourcing Volunteering management Volunteer selection Delphi method 



The authors would like to express their gratitude to the First EAI International Conference on Computer Science and Engineering (COMPSE) 2016 at Penang, Malaysia. The authors also would like to acknowledge 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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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Nurulhasanah Mazlan
    • 1
    Email author
  • Sharifah Sakinah Syed Ahmad
    • 1
  • Massila Kamalrudin
    • 1
  1. 1.Faculty of Information and Communication TechnologyUniversiti Teknikal Malaysia Melaka (UTeM)MelakaMalaysia

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