343 research outputs found

    Understanding the Turnover Intention of Crowd Workers of Microtask Crowdsourcing Platform

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    Microtask crowdsourcing is a relatively new work form enabled by information technologies. For both practitioners and academics, understanding the turnover intention of the users, requesters and crowd workers respectively, of microtask crowdsourcing is very important. However, compared with the relatively large literature on requester, studies focusing on worker crowd workers are limited. Therefore, in this study, we investigate the crowd workersā€™ intentions to leave the microtask crowdsourcing. The research goal is to analyze the motivations of crowd workers systematically and identify those factors that influenced their turnover intention. Based on perceived value and justice perspectives, a research model is developed. The proposed hypotheses will be tested using data from Amazon Mechanical Turk

    INCENTIVES IN SERVICE VALUE NETWORKS ā€“ ON TRUTHFULNESS, SUSTAINABILITY, AND INTEROPERABILITY

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    The concurrence of technical and behavioral trends ā€“ such as lightweight approaches for service composition and a rising demand for customized services ā€“ fosters the emergence of a novel organizational paradigm: Service Value Networks (SVN). Distributed and highly-specialized service providers contribute to an overall value proposition. SVNs provide means for the ad-hoc composition of services that satisfies individual customers\u27 needs. However, the distributed nature of these environments and the opportunistic behavior of participants require a purposeful design of incentives. Our contribution is threefold: We (i) provide an auction mechanism ā€“ the Complex Service Auction ā€“ to coordination value creation in SVNs which is incentive compatible in dominant strategies (truthful). To restore budget balance ā€“ the prerequisite for a mechanism\u27s sustainability ā€“ and to implement incentives that increase a network\u27s degree of interoperability, we (ii) present the Interoperability Transfer Function (ITF). Applying an agent-based simulation method, we (iii) numerically show that this payment scheme limits strategic behavior of service providers and strengthens interoperability endeavors compared to a benchmark transfer function

    Mi Casa Es Su Casa: The Benefits of a HUD Mediation Program for Resolving Housing Accommodation or Modification Disputes Between Landlords and Tenants with Disabilities

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    After first providing a background on federal housing laws that prohibit discrimination based on disability, this article then proceeds to describe and analyze the remedies available to tenants who have experienced disability discrimination. The article concludes that, not only are such remedies as filing a complaint or pursuing litigation difficult and time-consuming, they could also damage the long-term relationship between the parties and preclude the possibility of creative remedies that satisfy the needs of both parties. The article finishes by proposing that HUD develop an agency-wide mediation program based on the model of the Equal Employment Opportunity Commission (EEOC) mediation program, with a mediator who specializes in federal housing laws and who has experience with mediating disability accommodation disputes

    Mediating with an 800-Pound Gorilla: Medicare and ADR

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    Social techniques for effective interactions in open cooperative systems

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    Distributed systems are becoming increasingly popular, both in academic and commercial communities, because of the functionality they offer for sharing resources among participants of these communities. As individual systems with different purposes and functionalities are developed, and as data of many different kinds are generated, the value to be gained from sharing services with others rather than just personal use, increases dramatically. This, however, is only achievable if participants of open systems cooperate with each other, to ensure the longevity of the system and the richness of available services, and to make decisions about the services they use to ensure that they are of sufficient levels of quality. Moreover, the properties of distributed systems such as openness, dynamism, heterogeneity and resource-bounded providers bring a number of challenges to designing computational entities that cooperate effectively and efficiently. In particular, computational entities must deal with the diversity of available services, the possible resource limitations for service provision, and with finding providers willing to cooperate even in the absence of economic gains. This requires a means not only to provide non-monetary incentives for service providers, but also to account for the level of quality of cooperations, in terms of the quality of provided and received services. In support of this, entities must be capable of selecting among alternative interaction partners, since each will offer distinct properties, which may change due to the dynamism of the environment. With this in mind, our goal is to develop mechanisms to allow effective cooperation between agents operating in systems that are open, dynamic, heterogeneous, and cooperative. Such mechanisms are needed in the context of cooperative applications with services that are free of charge, such as those in bioinformatics. To achieve this, we propose a framework for non-monetary cooperative interactions, which provides non-monetary incentives for service provision and a means to analyse cooperations; an evaluation method, for evaluating dynamic services; a provider selection mechanism, for decision-making over service requests; and a requester selection mechanism, for decision-making over service provision

    How ECS Improve Creative Use of Employeesā€™ Knowledge?

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    Recently, organizations are using crowdsourcing systems (CSs) to collect innovative ideas from their employees harnessing their insights of companiesā€™ products, processes, customers, and competitors. While crowd workers in third-party CSs are a diverse and multifaceted population with a range of motives and experience, and yet few researchers have grappled with the facilitators of the employeesā€™ behavior comprising the creative application of their knowledge using enterprise CSs. This study develops a theoretical framework to identify enterprise CSs role and to provide the way how CSs are related to creative behavior via knowledge sharing. In this research, we used a survey to collect data from organizational employees and conducted data analysis to understand how enterprise CSs affect employeesā€™ creative knowledge application. The findings of this study can help organization refine their ECSs and innovative initiatives
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