1,865 research outputs found

    Time and Location Aware Mobile Data Pricing

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    Mobile users' correlated mobility and data consumption patterns often lead to severe cellular network congestion in peak hours and hot spots. This paper presents an optimal design of time and location aware mobile data pricing, which incentivizes users to smooth traffic and reduce network congestion. We derive the optimal pricing scheme through analyzing a two-stage decision process, where the operator determines the time and location aware prices by minimizing his total cost in Stage I, and each mobile user schedules his mobile traffic by maximizing his payoff (i.e., utility minus payment) in Stage II. We formulate the two-stage decision problem as a bilevel optimization problem, and propose a derivative-free algorithm to solve the problem for any increasing concave user utility functions. We further develop low complexity algorithms for the commonly used logarithmic and linear utility functions. The optimal pricing scheme ensures a win-win situation for the operator and users. Simulations show that the operator can reduce the cost by up to 97.52% in the logarithmic utility case and 98.70% in the linear utility case, and users can increase their payoff by up to 79.69% and 106.10% for the two types of utilities, respectively, comparing with a time and location independent pricing benchmark. Our study suggests that the operator should provide price discounts at less crowded time slots and locations, and the discounts need to be significant when the operator's cost of provisioning excessive traffic is high or users' willingness to delay traffic is low.Comment: This manuscript serves as the online technical report of the article accepted by IEEE Transactions on Mobile Computin

    The Role of Entrepreneurial Passion and Creativity in Entrepreneurial Intention: A Hierarchical Analysis of the Moderating Effect of Entrepreneurial Support Programs

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    Based on the MOA (Motivation - Opportunity - Ability) model framework, a hierarchical model is built and the application of the self-efficacy theory is discussed in relation entrepreneurial passion, creativity and entrepreneurial intention in Chinese university graduate students. The results of questionnaire surveys from 1057 students and 238 members of the faculty show that entrepreneurial passion and creativity positively influence entrepreneurial intention, and that entrepreneurial self-efficacy partly mediates the above relationship. The questionnaire results also reveal that entrepreneurial support programs positively moderate the relationship between entrepreneurial passion and entrepreneurial self-efficacy but negatively moderate the relationship between creativity and entrepreneurial self-efficacy. Based on empirical research, this paper provides a way forward to improving entrepreneurial intention for graduate students. Keywords: Entrepreneurial intention, Entrepreneurial passion, Creativity, Entrepreneurial support programs, Entrepreneurial self-efficac

    Towards Asymmetric Information for the G2B Inter-Organizational Networks

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    With the emergence of innovative (networked) organization forms such as enhanced supply chain collaboration and modern forms of public-private partnerships (PPP), effective and efficient collaboration among network participants becomes crucial but often difficult to achieve. One of the leading factors&#; which cause such defective collaboration is the asymmetric information issue among the network participants. Two identifiable problems resulted by the asymmetric information are the moral hazard and adverse selection problems. Former studies mainly positioned asymmetric information problems within the context of traditional business environment; in this paper we suggest that similar problems may also occur in the Government to Business (G2B) context. We discuss these issues via a collaborative pilot case study (hereafter, Beer Living Lab) between the Dutch Tax and Customs Administration (DutchTCA) and a Dutch beer company (Beer Co.). The paper reveals that both moral hazard and adverse selection problems may occur during the G2B interactions and tamper the relationships between the two. In addressing these problems, we propose an advanced information technology (IT) solution, drawing upon an effective and efficient information sharing schema that can on the one hand minimize the moral hazard by enhancing supply chain management for the business and on the other hand preventing tax fraud for the government. Further we argue that the application of the advanced IT may serve as a strong signaling and screening tool for overcoming the adverse selection problem during the PPP forming and result in a win-win situation. The insights learned should benefit those involved in various inter-organizational business networks, partnership as well as supply chain management settings
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