Towards a Taxonomy for Neighborhood Volunteering Management Platforms

The management and organization of volunteering in the social sector have been strongly influenced by technological progress over the last two decades. New proposals for IT-based volunteering management platforms that draw on many elements of social media are appearing with increasing frequency. In this article, we analyzed the current state of the art and use a methodological approach to develop a taxonomy for classifying existing and emerging developments in the field. The taxonomy is intended to assist practitioners in selecting appropriate systems for their respective purposes as well as support researchers in identifying research gaps. The resulting research artifact has undergone an initial evaluation and can support maintaining a better overview in a growing subject area

Kesan bencana terhadap kesihatan dan keselamatan sukarelawan

Disaster often occurs unexpectedly and the impact is in loss of property, life and human well-being. During the disaster, vary humanitarian agencies respond in helping government on the recovery process. Volunteers are one of the most major roles in the disaster relief work. However, the risks of disasterous situation have made it difficult for volunteers. The challenges of disaster also affected toward volunteer’s health and safety. Exploring the impact of a disaster can be on volunteers’ health and safety. Therefore, a study of the impact on volunteers involved in floods disaster relief has been carried out. Qualitative methods using case study have been used. The researchers also use purposive sampling techniques for selecting 27 respondents. In-depth interviews were conducted with 27 respondents who met the prescribed sampling criteria. The results show that health, safety, stress and psychological disorder are the effects of disaster on volunteers. Discussions were focused on the effects of disaster toward volunteers’ health and safet

A budget feasible peer graded mechanism for iot-based crowdsourcing

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. In this, 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 for the problem under investigation that also allows us to have the true information about the quality of the IoT devices. Further, we have extended the set-up considering the case where the tasks are divisible in nature and the IoT devices are working collaboratively, instead of, a single entity for executing each task. We have designed the budget feasible mechanisms for the extended versions. The simulations are performed in order to measure the efficacy of our proposed mechanismPeer ReviewedPostprint (author's final draft

Human–Computer Interaction and Participation in Software Crowdsourcing

Improvements in communication and networking technologies have transformed people’s lives and organizations’ activities. Web 2.0 innovation has provided a variety of hybridized applications and tools that have changed enterprises’ functional and communication processes. People use numerous platforms to broaden their social contacts, select items, execute duties, and learn new things. Context: Crowdsourcing is an internet-enabled problem-solving strategy that utilizes human–computer interaction to leverage the expertise of people to achieve business goals. In crowdsourcing approaches, three main entities work in collaboration to solve various problems. These entities are requestors (job providers), platforms, and online users. Tasks are announced by requestors on crowdsourcing platforms, and online users, after passing initial screening, are allowed to work on these tasks. Crowds participate to achieve various rewards. Motivation: Crowdsourcing is gaining importance as an alternate outsourcing approach in the software engineering industry. Crowdsourcing application development involves complicated tasks that vary considerably from the micro-tasks available on platforms such as Amazon Mechanical Turk. To obtain the tangible opportunities of crowdsourcing in the realm of software development, corporations should first grasp how this technique works, what problems occur, and what factors might influence community involvement and co-creation. Online communities have become more popular recently with the rise in crowdsourcing platforms. These communities concentrate on specific problems and help people with solving and managing these problems. Objectives: We set three main goals to research crowd interaction: (1) find the appropriate characteristics of social crowd utilized for effective software crowdsourcing, (2) highlight the motivation of a crowd for virtual tasks, and (3) evaluate primary participation reasons by assessing various crowds using Fuzzy AHP and TOPSIS method. Conclusion: We developed a decision support system to examine the appropriate reasons of crowd participation in crowdsourcing. Rewards and employments were evaluated as the primary motives of crowds for accomplishing tasks on crowdsourcing platforms, knowledge sharing was evaluated as the third reason, ranking was the fourth, competency was the fifth, socialization was sixth, and source of inspiration was the seventh.Princess Nourah bint Abdulrahman University Researchers Supporting - Riyadh, Saudi Arabia. Project number (PNURSP2023TR140)

Re-Designing Planning Policy Processes and Embedding Technology: The Case of Neighbourhood Planning

Ph. D. ThesisNeighbourhood planning provided citizens with new rights through the Localism Act 2011, empowering them to organise together to produce their own policy which would be adopted by local planning authorities. By December 2020, over 2700 communities had embarked on the neighbourhood planning process with just under 1000 plans adopted. However, challenges remain in the way neighbourhood planning is enacted by citizens with a complex process, uneven geographical take up and a lack of appropriate support for citizens. At a broader level, citizen participation in policymaking processes has shown a contested picture over many decades with calls for more and better participation whilst questions of the level of influence such participation has on decisions have been raised. Furthermore, the configuration of citizen participation has long been questioned, particularly in relation to the methods used to reach out to communities. Alongside this, research regarding digital technology for policymaking and citizen participation has increased but has yet to have an impact in practice. In this research, I explore how digital and non-digital tools could be designed to better support citizens to shape places through the example of the neighbourhood planning policy process. I engaged with neighbourhood planning groups and planners to learn from their experiences, particularly centring citizens’ needs in considering the need for support in the citizen-led policy tool. Using an action research approach, I used a cycle of action and reflection to inform research design, enabling participants to help direct research through their own experiences. To understand how citizens enact the neighbourhood planning process and explore the use of digital tools, I engaged in an exploratory deployment of a participatory media technology, then moved to deliver interactive workshops to explore the neighbourhood planning process in-depth and co-designed new modes of digital and non-digital engagement. Through this research, I first demonstrate the complexity of neighbourhood planning, exploring the nuances of the process from a citizens’ perspective and, second, I identify both opportunities and barriers to the use of digital modes of participation. Through identifying the issues within the neighbourhood planning process, I put forward approaches to designing better support mechanisms to enable citizens to shape places, including two key design principles, cross-disciplinary design thinking and inclusive design, which can ensure an inclusive and equitable approach to the design of policy and support tools. I demonstrate how these design principles should manifest within the neighbourhood planning context and provide recommendations for specific policy changes and the development of digital and non-digital support. Ultimately, I argue the need to design and embed digital and non-digital tools and technologies within a re-designed neighbourhood planning process to enable an appropriate, navigable and sustainable citizen-led policy tool where modes of participation can link directly to policy outcomes allowing citizens to shape places

Volunteer Selection Based On Crowdsourcing Approach

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