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Using partial factor productivity and data envelopment analysis approaches, this study measures and compares the operational efficiency of the 10 dominant mobile operators in Brazil, Russia, India and China (BRIC) between 2002 and 2006. The results of data envelopment analysis indicate that the two leading Brazilian mobile operators, Vivo and TIM, are fully efficient throughout the entire period of study; however, Indian mobile operators are the least efficient among BRIC operators. Interestingly, the findings of this study verify that full operational efficiency can be achieved by operators with large revenues, such as China Unicom, and by others with medium and small revenues, such as Vivo, TIM and Oi. Partial factor productivity demonstrates that 3 of the 4 Brazilian mobile operators, Vivo, TIM and Oi, have remarkable productivity ratios, and that the state-owned operator, China Unicom, has the highest revenue per capital expenditure among BRIC operators. In contrast, Indian mobile operators' productivity ratios are generally low compared to other BRIC mobile carriers. Copyright (c) 2009 The Authors Journal compilation (c) 2009 Institute of World Economics and Politics, Chinese Academy of Social Sciences.

Advanced traveler information systems (ATIS) offer travelers a number of benefits, such as reduced travel time and uncertainty and improved traffic safety. The reliability of travel time provided by ATIS has an effect on the travelers' choice of routes. However, the market for ATIS devices is a niche market, and its users may or may not follow the information and instructions provided by the system. Hence there is some information heterogeneity among travelers, which arises from the imperfect information with regard to other travelers' preferences and types. This study applies the concept of a Bayesian game to the route choice problem when travelers are maximizing their degree of satisfaction by choosing routes. A Bayesian model is used in this work to analyze the impact of this heterogeneity on travelers' route choices. We find that the use of ATIS exposes certain heterogeneities in traveler types and beliefs.

Voice over Internet Protocol (VoIP) is a critical innovation technology in the globally oriented business world, which emphasizes flexibility and efficiency as means to reduce operation cost and improve service quality. Yet there is little research in the organization behavior literature investigating what factors affect enterprise decision to adopt VoIP. This study investigated significant determinants of VoIP adoption in the top 500 export-import enterprises in Taiwan. Logistic regression was used to examine four variables: top management support, environment competition, cost and business size. Specifically, the characteristic comparison of VoIP adopters and non-adopters were presented. We concluded by discussing weight ratio of VoIP adoption factor, characteristics of potential adopters and its managerial implications.