Small sample behaviour of some nonparametric multi-sample location tests in the presence of dispersion differences

This paper describes the small and moderate sample behaviour of three studentized non-parametric statistics by Sen and a modified Wilcoxon statistic by Potthoff for testing the equality of location parameters in the presence of dispersion differences. Based on the agreement between the asymptotic and small sample distributions of the statistics as well as a comparison of their power under heteroscedasticity, the studentized Wilcoxon and the studentized Brown and Mood tests arc preferred in the two-sample and c-sample situations, respectively.     

Multi-stakeholders’ assessment of bike sharing service quality based on DEMATEL–VIKOR method

ABSTRACT

Bike sharing is a sustainable mode of urban transportation. Assessing the perceived service quality is essential to improve the development of bike sharing. Most of the existing research evaluates the service quality of bike sharing only from the perspective of its users. This study assesses the perceived quality gap among four different stakeholders including government regulators, platform operators, bike association and users. First, an evaluation criteria system consisting of sixteen criteria obtained from the five dimensions of tangibles, reliability, responsiveness, assurance and empathy is constructed based on a revised service performance model. Thereafter, a hybrid multi-criteria decision-making model that combines Decision-Making Trial and Evaluation Laboratory (DEMATEL) with VIsekriterijumska Optimizacija I Kompromisno Resenje (VIKOR) is proposed. Then, the model is applied to evaluate the service quality of bike sharing in Xi’an City. Finally, some useful suggestions are given to improve the bike sharing service quality from the perspective of multi-stakeholders.     

Profiling high-frequency equity price movements in directional changes

Market prices are traditionally sampled in fixed time intervals to form time series. Directional change (DC) is an alternative approach to record price movements. Instead of sampling at fixed intervals, DC is data driven: price changes dictate when a price is recorded. DC provides us with a complementary way to extract information from data. It allows us to observe features that may not be recognized in time series. The argument is that time series and DC-based analysis complement each other. With data sampled at irregular time intervals in DC, however, some of the time series indicators cannot be used in DC-based analysis. For example, returns must be time adjusted and volatility must be amended accordingly. A major objective of this paper is to introduce indicators for profiling markets under DC. We analyse empirical high-frequency data on major equities traded on the UK stock market, and through DC profiling extract information complementary to features observed through time series profiling.     

An Approach to a Visual Language for Convective Fluid Flows: Visualization of Geophysical Simulations

It was known that deep within numbers and binary data from simulations of geophysical convective flows resided various patterns. Two models of convective fluid flows were being considered. One was a model of two-dimensional (768 × 256) air convection with finite Prandtl number of one and Rayleigh number of 10⁸?10¹⁰, and another was a model of three-dimensional (up to 120 × 120 × 90) mantle convection with infinite Prandtl number and Rayleigh number of 10⁶?10⁸. Clearly, phenomena existed which superceded each individual dimensionless computer model to provide a piece of information regarding actual fluid flows. The problem was how to find, prove, and communicate these patterns and phenomena for convection simulations with gigabytes of data. In a search for such an analytical and communicative tool, the alternative of visualization was considered. The need for visualization was recognized and discussed. Then, utilizing both two- and three-dimensional models of high Rayleigh number convection, basic techniques of style and content were developed. Applications of the visualization techniques were designed utilizing IBM’s Data Explorer in order to create communicative images and movies, and after the applications, the problems of data storage and transfer became apparent. Throughout the process though, it became clear how important the language of vision actually could be in the geophysics community. In a field in which words such as plumes and internal waves have in ways replaced mathematics as the basic language for science, there is a need for another resource, another language-the visualization of convective fluid flows.     

Optimal International Taxation and Growth Rate Convergence: Tax Competition vs. Coordination

Optimal international taxation and its implications for convergence in long run income growth rates are analyzed in the context of an endogenously growing world economy with perfect capital mobility. Under tax competition (i) the residence principle will maximize national welfare; (ii) the optimal long run tax rate on capital incomes from various sources will be zero in all countries; and (iii) long term per capita income growth rates will be equalized across countries. Under tax coordination, (i) becomes irrelevant while (ii) and (iii) will continue to hold. In other words, optimal tax policies are growth-equalizing with and without international policy coordination. This revised version was published online in July 2006 with corrections to the Cover Date.     

Quasi-adiabatic shear zones in the lithosphere: numerical and experimental approaches

Continental breakup, or compressive lithosphere scale faulting, requires a physical mechanism for wholesale faulting of the lithosphere. We compared numerical and experimental models for the nucleation of quasi-adiabatic shear bands in polyvinylchloride (PVC) with those in an idealized viscoelastoplastic mantle with olivine rheology. In both materials fault nucleation is caused by elastic stress concentration on pre-existing imperfections, with localized yielding confined to its vicinity. Faulting occurs rapidly after the initial elastic energy in the system is charged sufficiently to cause wholesale yielding. Propagation of the fault, monitored by looking at the dissipation of plastic energy, reveals migration of a sharp, thermal-mechanical “crack”- like instability, which appears in the temperature field as a slightly diffused signal. The initial temperature rise in the crack is subtle but increases suddenly when the plate is severed. This autocatalytic behavior has also been described in ductile polymers, which can be used as mechanical analogues. We suggest that elastoplastic coupling in quasi-adiabatic shear banding is a key for fast (< 1 Ma) nucleation of shear zones. These nonlinear phenomena will be illustrated for both experimental and numerical results by nine movies     

Power, conflict, and cooperation: The impact of guanxi in Chinese marketing channels

This paper tests the impact of guanxi on behaviors among firms in a Chinese marketing channel. Guanxi is operationalized in this paper as emotional closeness and interactive state. We find that the emotional closeness between channel-boundary personnel of firms has a positive impact on their exercise of noncoercive power, a negative impact on their exercise of coercive power, and a negative impact on the perceived conflict between them. In addition, emotional closeness has an indirect but positive impact on perceived cooperation. Interactive state between the boundary personnel of two firms has a positive impact on a firm exercising noncoercive power and a negative impact on perceived conflict between them. At the same time, it is positively related to a firm exercising coercive power. This shows not only the significant influence of guanxi on a firm's channel behaviors but also the constructive effects of both emotional closeness and interactive state on marketing channel behaviors in China.     

How do internal capabilities and external partnerships affect innovativeness?

How do a firm’s internal capabilities and external partnerships contribute to its product and process innovativeness? How do their impacts differ? Based on the theoretical framework of exploitation and exploration, we develop an integrative model linking the impact of both internal capabilities and external partnerships on product and process innovativeness. Survey responses from Taiwanese biotechnology firms indicate that research and development (R&;D), marketing, and manufacturing capabilities have different effects on product and process innovativeness. Of the four types of external partnerships, only partnerships with universities and research institutes seem to add value, whereas partnerships with suppliers, customers, and competitors do not contribute to innovativeness. Moreover, marketing capability and customer partnerships have a positive interaction effect on product innovativeness, while manufacturing capability and supplier partnerships have a positive interaction effect on process innovativeness.     

Measuring E-Service Quality for Online Travel Agencies

Online travel agencies face intense competition, and thus have a great need to evaluate the e-service quality of their websites to succeed or even just to survive. The present study explores the underlying dimensions used by online customers to evaluate the e-service quality of online travel agencies, as well as the relationship of these dimensions to customer satisfaction and the repurchase intention, using both qualitative and quantitative data collection techniques. Six underlying dimensions of e-service quality are identified from the results of factor analysis; namely, Website Functionality, Information Quality and Content, Fulfillment and Responsiveness, Safety and Security, Appearance and Presentation, and Customer Relationship. Furthermore, four dimensions—Website Functionality, Information Quality and Content, Safety and Security, and Customer Relationship—are found to significantly influence online customers' evaluation of overall satisfaction and their repurchase intention. The results of multiple regression analysis show Website Functionality to be the most powerful factor in predicting customer satisfaction and the repurchase intention. Implications of the study findings are discussed, and important guidelines for the development of online travel agencies are provided.     

A Critical Investigation of the Bargaining Behavior of Tourists: The Case of Hong Kong Open-Air Markets

Shopping has long been recognized as an indispensable tourist activity. Hong Kong's open-air markets, where a multitude of bargaining activities can be observed, ranked as the second most popular of the island territory's diverse range of attractions in 2008 in terms of tourist arrivals. To develop cutting-edge marketing strategies that promote tourists' enjoyment of their bargaining adventure and ultimately enhance the overall shopping experience, the study reported in this article was aimed at identifying the dimensions underlying tourists' perceptions of the importance of 18 bargaining motivators and 12 bargaining attitudes and types of bargaining behavior, respectively, and subsequently evaluating the predictability of these underlying dimensions on tourists' shopping contentment indicators (overall bargaining satisfaction, the likelihood of a subsequent visit, and the likelihood of recommending open-air markets to others). A non-probability quota sampling technique was used to survey 203 Asian and non-Asian tourists in Hong Kong. A multivariate approach encompassing factor analysis and multiple regression was employed: Factor analysis delineated four underlying dimensions of factors affecting bargaining intentions. “Value for money” was shown to be the factor rated most important to tourists' bargaining intention; similarly, two underlying dimensions of bargaining attitudes and behavior—“bargain for psychological well-being” and “bargaining intensity”—were identified. Multiple regression results indicated the statistical significance of “bargaining for psychological well-being” and “bargaining intensity” to the existence of positive relations between shopping contentment indicators.