4 research outputs found
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Organizing Work on Creative Crowdwork Platforms: A Practice Perspective
The world of work is changing fast with the increasing popularity of platform-mediated work. Despite platform workers being the fastest growing segment in the alternative workforce, there is little known about how work is organized on gig economy platforms that operate under conditions of employment, scheduling and location flexibility. This paper explores how work is organized on crowdwork platforms with Topcoder serving as a case of a successful platform. Our findings demonstrate that professional socialization and career development are the main practices that organize employment relationship flexibility; time, budget, and task management are the main practices that organize scheduling flexibility; and virtual communication and cultivating work friendships are the main practices that organize location flexibility. Furthermore, we find that the combination of these practices can generate psychological safety for both workers and job providers, despite the usual risks involved in the gig and crowdwork arrangements
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Intelligent approach for attracting churning customers in banking industry based on collaborative filtering
During recent years, increased competition among banks has caused many developments in banking experiences and technology, while leading to even more churning customers due to their desire of having the best services. Therefore, it is an extremely significant issue for the banks to identify churning customers and attract them to the banking system again. In order to tackle this issue, this paper proposes a novel personalized collaborating filtering recommendation approach joint with the user clustering technology. In the proposed approach, first a hybrid algorithm based on Particle Swarm Optimization (PSO) and K-mean cluster the loyal customers. The clusters of loyal customers are used to identify the features of the churning customers. Finally, the list of appropriate banking services are recommended for the churning customers based on a collaborative filtering recommendation system. The recommendation system uses the information of loyal customers to offer appropriate services for the churning customers. We applied successfully the proposed intelligent approach to return the churning customers of an Iranian bank.http://www.jise.ir/article_16171.htm
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Crowdwork platforms: juxtaposing centralized and decentralized governance
Crowdwork is a novel form of digitally mediated work arrangement that is managed and organized through online labor platforms. This paper focuses on the governance of platforms that facilitate creative work—that is, complex work tasks that require high-level skill and creative workers. Crowdwork platform governance faces numerous challenges as a result of technology mediation, scalable and distributed workers, and temporary work arrangements. Creative crowdwork platforms, such as Topcoder, typically require additional governance structures to manage complex tasks. However, we know relatively little about creative crowdwork platform governance, as most existing studies focus on routine work platforms, such as Amazon Mechanical Turk. Accordingly, this paper explores how incumbent and insurgent creative crowdwork platforms are governed under centralized and decentralized modes. We conducted a comparative case study based on the analysis of two different cases: Topcoder, a successful commercial platform with a largely centralized governance structure, and CanYa, an emerging innovative platform based on blockchain technology with more decentralized governance. We identified and classified different governance elements related to work control and work coordination. In addition, we explored the characteristics of creative crowdwork platform governance with different degrees of centralization.https://aisel.aisnet.org/ecis2019_rp/11