The impact of retail out-of-stock options on preferences: The role of consumers’ desire for assimilation versus differentiation

This study tested the hypothesis that retail customers’ drive to assimilation or differentiation moderates the effect on their initial preference for a particular product of their discovery in the store of a previously unconsidered comparable alternative, which happens to be presently out of stock. The results revealed that new awareness of alternative options has an impact on customers’ preferences, even if they are unavailable when the choice is being made. Participants who were more concerned with differentiation exhibited a stronger preference for the option originally under consideration if they were told that the alternative was out of stock due to heavy demand rather than short supply. By comparison, those more concerned with assimilation had a weaker preference for the initial product when they learnt that its unavailability was said to be due to heavy demand, not supply shortfall. The article concludes with theoretical implications and areas for future research.     

Is what you choose what you want?—outlier detection in choice-based conjoint analysis

Choice-based conjoint (CBC) analysis has long been a popular technique in market research. Because CBC is dependent upon respondents’ stated preferences, respondent variability should be taken into account in part-worth estimation. In the spirit of Bayesian residuals within the probit framework, this paper proposes a novel respondent variability measure for CBC, called the “utility deviation” (UD), to detect outliers who have unusually high respondent variability. UD is constructed based on the standardized deviation between a respondent’s true and representative utilities on the made choices. We compare UD with the largest absolute realized deviation (LARD) statistic and the typically used metric, root likelihood (RLH), in the performance of outlier detection using simulated and empirical data. The results show that UD performs slightly better than LARD and significantly outperforms RLH. Finally, we show that performing outlier detection to exclude misleading data can significantly improve the quality of estimation and resultant applications.     

Toward the system theory of dependence: Further general theoretical remarks

This paper forms another part of a more extensive study inspired by the authors' aims to contribute to the elaboration of the social systems theory of dependence and to better understand the behavior of the global system of human beings and of its subsystems. The theory of dependence, by elaborating an abstract theoretical model of the dependence space, aims at a better understanding of social change (or resistance to change) on the micro, medium and macro-levels of the social systems. In this paper some features of a crude model have been presented at a high level of abstraction. A minimum set of concepts, such as dependence relation, dependence coupling, dependence boundary, dependence capacity, entropy of behavior, systems need relations and possibilities, etc., have been defined and formalized. Some propositions have been formulated. We hope that, in spite of the high level of abstraction and of an insufficient amount of data supporting our propositions which are based mainly on the general systems taxonomy and on the hypothetical-deductive method, the conclusions will have some heuristic value for further inquiries into the theory of modelling the guidance systems of social processes.     

Legal Liability,Government Intervention,and Auditor Behavior: Evidence from Structural Reform of Audit Firms in China

This paper investigates how legal liability influences audit quality and audit fees, particularly in the presence of government intervention. Since 2010, all Chinese audit firms were required to transform from a structure of limited liability company (LLC) to limited liability partnership (LLP), which removes the cap on the liability exposure of negligent auditors. By adopting this natural experiment, we document the following findings: first, after audit firms reorganize as LLPs, auditors are more likely to (1) issue modified audit opinions and going-concern opinions, (2) constrain clients’ earnings management, and (3) charge a premium in audit fees, which suggest that exerting unlimited legal liability on negligent auditors improves both audit quality and audit fees. Second, the effect of the LLP adoption is more pronounced when auditors are from local audit firms, and clients are controlled by local governments. Further analyses suggest that the stock prices of clients positively react to the reform event, which indicates that LLP adoption improves the overall value of audits. In summary, our empirical findings are consistent with the argument that legal liability is able to effectively shape auditor behavior in emerging markets where the other institutional mechanisms are relatively weaker and government intervention is heavy.     

Robust testing procedures of process locations

In many manufacturing and service industries, the quality department of the organization works continuously to ensure that the mean or location of the process is close to the target value. In order to understand the process, it is necessary to provide numerical statements of the processes that are being investigated. That is why the researcher needs to check the validity of the hypotheses that are concerned with some physical phenomena. It is usually assumed that the collected data behave well. However, sometimes the data may contain outliers. The presence of one or more outliers might seriously distort the statistical inference. Since the sample mean is very sensitive to outliers, this research will use the smooth adaptive (SA) estimator to estimate the population mean. The SA estimator will be used to construct testing procedures, called smooth adaptive test (SA test), for testing various null hypotheses. A Monte Carlo study is used to simulate the values of the probability of a Type I error and the power of the SA test. This is accomplished by constructing confidence intervals of the process mean by using the SA estimator and bootstrap methods. The SA test will be compared with other tests such as the normal test, t test and a nonparametric statistical method, namely, the Wilcoxon signed-rank test. Also, the cases with and without outliers will be considered. For the right-skewed distributions, the SA test is the best choice. When the population is a right-skewed distribution with one outlier, the SA test controls the probability of a Type I error better than other tests and is recommended.     

Student-t distribution based VAR-MGARCH: an application of the DCC model on international portfolio risk management

Significant second-moment transmission effects and obvious time-varying patterns of correlation coefficients among major equity and currency markets in the US, Japan and the UK are found to exist. Such observations inspire the time-varying setting of dynamic conditional correlation coefficients in MGARCH models. On the other hand, the multivariate Student-t distribution is suitable for analysing the visible leptokurtosis that is common in financial markets. Both are important for international portfolio risk management. Thus, a comparison on the hedging efficiency of hypothetical portfolios consisting of stock and currency future positions is conducted in order to justify the multivariate Student-t distribution based on the DCC-MGARCH model.     

Technological competence and team cohesiveness among travel agencies

From the perspective of collaboration, the independent travel agent has provided it makes appropriate investment in technology and creates competitive advantage. The research goals of this study were to investigate how strategic adaptation among the members of travel agent collaborations affects service performance. Data were obtained via a mailed questionnaire survey of a sample of travel agencies. The model and the hypotheses were tested using a structural equation modeling approach. The findings of this study provide interesting insights for travel agencies interested in service performance. Technological competence has emerged as an important asset in travel agent collaboration, which can be used to increase the productivity of knowledge works through the management of service performance, and different strategies are discussed in terms of different segments of partners within the collaboration.     

An examination of key factors influencing bancassurance success – Taiwan and mainland China evidence

The aims of this paper are first, a search for the key factors that influence bancassurance operation in Taiwan and mainland China; second, explore the weight of each key success (critical) factor (KSF); and third, identify performance gaps typically measured as performance minus KSFs. This study adopts the analytical hierarchy process to construct a framework of KSFs of bancassurance. Then, the importance–performance analysis is applied to identify the performance of each KSF for bancassurance. The findings mean that the strategy maker can identify the weakness and strength of their bancassurance strategy, and allocate their resources accordingly.     

Consistency among trading desks

We consider a bank having several trading desks, each of which trades a different class of contingent claims with each desk using a different model. We assume that the models are arbitrage-free. A practical question is whether a bank using several models can be arbitraged. Surprisingly it can happen that in some cases there must be an arbitrage. We discuss conditions under which the bank trades without offering arbitrage.The second-named author is grateful for support from NSERC Discovery grant 504316. An earlier version has been presented in the seminars at Fields Institute (2003), Cambridge University (2003) and IMA (2004); the authors thank for fruitful discussions. The authors also thank the referee for helpful comments.     

The norm game: punishing enemies and not friends

Three mean field models of the norm game are explored analytically. The strategies are: to obey the norm or not and to punish those who break it or not. The punishment, the temptation, the anger and the punishment cost are modeled by four parameters; for the fixed points, only two ratios of these parameters are relevant. For each model, we consider its variant with two mutually punishing groups. We show that all solutions are the same as for the case in one group. This means in particular, that in both groups the amount of defectors is the same.