Volunteer selection based on crowdsourcing approach

Mazlan, Nurulhasanah; Ahmad, Sharifah Sakinah Syed; Kamalrudin, Massila

doi:10.1007/s12652-017-0490-8

Cited by 14 publications

(15 citation statements)

References 32 publications

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“…The discussion will mainly circumvent around the works regarding incentive policies utilized in the past for dragging large number of participants, and quality of the executed works supplied by the task executers, in crowdsourcing. In order to get the detailed overview of the field and the current research trends we recommend readers to go through [11][25][23] [17]. In past there have been an extensive body of works discussing about the major challenges in crowdsourcing [23] and in some cases providing the solution approach [3][12] [16].…”

Section: Related Workmentioning

confidence: 99%

A budget feasible peer graded mechanism for iot-based crowdsourcing

Singh

Mukhopadhyay

Xhafa

et al. 2019

J Ambient Intell Human Comput

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We develop and extend a line of recent works on the design of mechanisms for heterogeneous tasks assignment problem in 'crowdsourcing'. The budgeted market we consider consists of multiple task requesters and multiple IoT devices as task executers; where each task requester is endowed with a single distinct task along with the publicly known budget. Also, each IoT device has valuations as the cost for executing the tasks and quality, which are private. Given such scenario, the objective is to select a subset of IoT devices for each task, such that the total payment made is within the allotted quota of the budget while attaining a threshold quality. For the purpose of determining the unknown quality of the IoT devices we have utilized the concept of peer grading. In this paper, we have carefully crafted a truthful budget feasible mechanism; namely TUBE-TAP for the problem under investigation that also allows us to have the true information about the quality of the IoT devices. The simulations are performed in order to measure the efficacy of our proposed mechanism.

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Section: Related Workmentioning

confidence: 99%

A budget feasible peer graded mechanism for iot-based crowdsourcing

Singh

Mukhopadhyay

Xhafa

et al. 2019

J Ambient Intell Human Comput

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“…In a review of the relatively sparse literature on management support for volunteering, Studer & von Schnurbein (2013) noted the domination of highly traditional work practices, yet this landscape is beginning to change with the introduction of a number of digital innovations. Mazlan et al (2017) comment on the growing number of platforms designed to explicitly recruit and manage volunteers (for examples see Better Impact, VolunteerMatters, and Do-It). These platforms are underutilised in the non-profit sector, in part because the host organisations often lack the technological capacity to exploit the Web.…”

Section: Digital Support In the Non-profit Sectormentioning

confidence: 99%

“…'work with young people'; 'help older adults'). This is particularly surprising, when some of the largest global changes to volunteering are digitally driven, specifically around the rise of digital platforms for short-term or crisis volunteering, that could drive changes across the sector [35].…”

Section: Introductionmentioning

confidence: 99%

“…In short, our understanding of the recruitment, management and co-ordination of volunteers remains overly reliant on traditional HR models [64] and our ability to harness digital systems in support of volunteering is underdeveloped [35]. Our overall goal in this paper is to understand how digital innovations might better align the needs of both volunteers and volunteer coordinators.…”

Section: Introductionmentioning

confidence: 99%

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Digital Design Considerations for Volunteer Recruitment

Thomas

Pritchard

Briggs

2019

Proceedings of the 9th International Conference on Communities &Amp; Technologies - Transforming Communities

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Non-profit organisations may find it difficult to demonstrate to potential volunteers what is required in their voluntary roleresulting in a mismatch between expectations and reality for volunteers. This mismatch could be perceived as a psychological contract breach. We interviewed 18 volunteers and 7 coordinators about their experiences and expectations in order to understand how the experience of volunteers can better be captured and communicated. Further, we wished to consider how future digital platforms might capture important elements of the volunteer experience to better support recruitment, retention and recognition. We present our findings and discuss digital platform implications around the four implicit 'promises' of volunteering: the social promise, the opportunity promise, the value promise and the organisational citizenship promise. We add to literature exploring the voluntary sector by assessing the feasibility of digital interventions to support various aspects of volunteer and coordinator roles.

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“…Nowadays, individuals voluntarily offer their own time, talent, and money to engage in activities that include helping the poor and making the planet a better place [1]. e Internet has made it easier for people to be connected and to be a part of a collaborative function, and this collaboration of people over the Internet is conceptualized into a term known as "crowdsourcing" [2].…”

Section: Introductionmentioning

confidence: 99%

Multicriteria‐Based Crowd Selection Using Ant Colony Optimization

et al. 2021

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Internet-enabled technologies have provided a way for people to communicate and collaborate with each other. The collaboration and communication made crowdsourcing an efficient and effective activity. Crowdsourcing is a modern paradigm that employs cheap labors (crowd) for accomplishing different types of tasks. The task is usually posted online as an open call, and members of the crowd self-select a task to be carried out. Crowdsourcing involves initiators or crowdsourcers (an entity usually a person or an organization who initiate the crowdsourcing process and seek out the ability of crowd for a task), the crowd (online participant who is a having a particular background, qualification, and experience for accomplishing task in crowdsourcing activity), crowdsourcing task (the activity in which the crowd contribute), the process (how the activity is carried out), and the crowdsourcing platform (software or market place) where requesters offer various tasks and crowd workers complete these tasks. As the crowdsourcing is carried out in the online environment, it gives rise to certain challenges. The major problem is the selection of crowd that is becoming a challenging issue with the growth in crowdsourcing popularity. Crowd selection has been significantly investigated in crowdsourcing processes. Nonetheless, it has observed that the selection is based only on a single feature of the crowd worker which was not sufficient for appropriate crowd selection. For addressing the problem of crowd selection, a novel “ant colony optimization-based crowd selection method” (ACO-CS) is presented in this paper that selects a crowd worker based on multicriteria features. By utilizing the proposed model, the efficiency and effectiveness of crowdsourcing activity will be increased.

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Volunteer selection based on crowdsourcing approach

Cited by 14 publications

References 32 publications

A budget feasible peer graded mechanism for iot-based crowdsourcing

A budget feasible peer graded mechanism for iot-based crowdsourcing

Digital Design Considerations for Volunteer Recruitment

Multicriteria‐Based Crowd Selection Using Ant Colony Optimization

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