Drivers of importer trust and commitment: Evidence from a developing country

This study investigates the interrelationships between antecedents of importers' trust and commitment to their foreign suppliers in an Asian country. This area has been under-researched in comparison to exporters' behavioral perspectives as well as in comparison to developed countries. A theoretical model is developed based on theories of transaction cost (TC) and the internationalization process (IP), and studies examined regarding the context of relationship trust and commitment. The model is tested using SEM on a sample of 238 importers in Bangladesh. The findings suggest that importer trust leads to commitment but that foreign supplier's opportunistic inclination affects both their trust and commitment. Overall, the findings indicate that cultural similarity, effective communication, knowledge and experience, opportunism and environmental uncertainty are vital antecedents of trust and commitment. The findings have important implications for academics and practitioners.     

An econometric model of structural change: a case study of Canada

The study postulates that structural change in a resource-based economy can, in large part, be explained by the behaviour of the relative wages. Different wage responses in tradeable and non-tradeable sectors create, over the course of the business cycle, a ‘ratchet effect’ which gradually squeezes the tradeable sector relative to the non-tradeable sector. Although the analysis is undertaken mainly within the Dutch-disease framework, an econometric model incorporating key elements of various views on the subject is tested for Canada. The results are consistent with the predictions of the model.     

Representing Heterogeneity in Consumer Response Models 1996 Choice Conference Participants

We define sources of heterogeneity in consumer utility functions relatedto individual differences in response tendencies, drivers of utility, formof the consumer utility function, perceptions of attributes, statedependencies, and stochasticity. A variety of alternative modelingapproaches are reviewed that accommodate subsets of these various sourcesincluding clusterwise regression, latent structure models, compounddistributions, random coefficients models, etc. We conclude by defining anumber of promising research areas in this field.     

Analysing Service Quality in the Hospitality Industry Using the SERVQUAL Model

This study reports an application in the hospitality industry of the SERVQUAL model developed by Parasuraman, Zeithaml and Berry. Although originally developed for application within the financial services sector, the model is designed to measure those components of service that generate satisfaction within five dimensions. This study identified the existence of gaps between clients' and management perceptions of attributes of the hotel, and between client expectation and perception of the services offered. It is argued that the existence of these gaps is a source of dissatisfaction with services provided. Factor analysis identified five dimensions explaining 78 per cent of variance, but these differed from the SERVQUA L model.     

η-Pseudolinearity

The notion of η-pseudolinearity is introduced. First, some characterizations of an η-pseudolinear function are obtained. Then characterizations of the solution set of an η-pseudolinear program are derived. The paper generalizes various results on pseudolinear functions and programs.     

An integrated approach to control system design

Existing approaches to the problem of designing management control systems may be described as primarily structural or behavioral. The first approach is characteristic of the accounting literature. It takes a rational and mechanistic view of control and treats the control system design problem as one of designing an effective information structure. The behavioral approach, exemplified by the socio-psychological literature on performance, views control as a problem of designing social relationships which lead to high performance.     

Compare the model of Iran national quality award and the EFQM model

Nowadays, there are a lot of challenges for global processing in countries economic companies. One of the important reasons is lack of changes that must be with world-class technology for making a competition in industry, and another important reason is lack of organized distinction for managers. Most of high rank managers don＇t have good points for charging and worry about it. In this essay, there have been excellence organized model of EFQM and Iran national quality award which are compared by a case study, and finally, it has suggested using a native model.     

Re‐Examining the Technical Efficiency of Australian Banks: A Bootstrap DEA Approach

This study re‐examines both pure technical and scale efficiency of Australian banks using bootstrap data envelopment analysis (DEA). The aim is to improve the choice of variables of the core profit efficiency model which is commonly used in earlier Australian banking efficiency studies. After we introduce the “interest income” over “net interest income” variable in the core profit efficiency model, the proportion of fully pure technical efficient banks decreased to 23% which is significantly lower than 81% which was reported in a recent study. This research argues that the main issue that has contributed to this difference is that improving the choice of variables significantly increases the discriminatory power of efficiency estimates. Additionally, emphasising on statistical properties of efficiency estimates, this study employs bootstrap DEA to provide confidence intervals and bias corrected estimates of pure technical efficiency scores of the sample banks. The bootstrap results show the importance of incorporating sample variation and bias in estimating efficiency scores. Earlier Australian banking efficiency studies ignored such issues. The new findings from the sample banks could have important implications for the banking industry in Australia.     

EXPLAINING ASYMMETRY IN THE U.S. MERCHANDISE AND SERVICE ACCOUNT BALANCE: Does the Service Sector Hold the Key to the U.S. Current Account Woes?

The U.S. economy has experienced two noteworthy structural changes in recent years. Externally, there has been a growing deficit in the merchandise account along with a simultaneously rising service account surplus. And domestically, the GDP share of the service sectors has been growing at a faster rate relative to the goods sectors. The objective of this article is to test the proposition that much of the asymmetry in the relative performance of the merchandise and the service accounts can be explained (1) in terms of income and price elasticity differentials and (2) in terms of relative growth of the service sectors. Results from estimated import and export demand functions for merchandise and service trades and from sectoral analysis of the U.S. economy seem to support the above proposition. The main policy implications are that: (1) domestically, the United States should facilitate current sectoral transformation by eliminating market distortions and rigidities and (2) externally, it should expand on the initiatives taken during the Uruguay Round and drive the WTO toward a full liberalization of trade in services.     

Dynamic learning in behavioral games: A hidden Markov mixture of experts approach

Over the course of a repeated game, players often exhibit learning in selecting their best response. Research in economics and marketing has identified two key types of learning rules: belief and reinforcement. It has been shown that players use either one of these learning rules or a combination of them, as in the Experience-Weighted Attraction (EWA) model. Accounting for such learning may help in understanding and predicting the outcomes of games. In this research, we demonstrate that players not only employ learning rules to determine what actions to choose based on past choices and outcomes, but also change their learning rules over the course of the game. We investigate the degree of state dependence in learning and uncover the latent learning rules and learning paths used by the players. We build a non-homogeneous hidden Markov mixture of experts model which captures shifts between different learning rules over the course of a repeated game. The transition between the learning rule states can be affected by the players?? experiences in the previous round of the game. We empirically validate our model using data from six games that have been previously used in the literature. We demonstrate that one can obtain a richer understanding of how different learning rules impact the observed strategy choices of players by accounting for the latent dynamics in the learning rules. In addition, we show that such an approach can improve our ability to predict observed choices in games.