The role of other customers during self-service technology failure

Service recovery through inter-customer helping is especially meaningful in the self-service technology (SST) failure context because SSTs are associated with a high risk of failure due to the lack of face-to-face contacts with employees. In understanding the phenomenon of inter-customer helping, two fundamental questions are investigated in the current research: (1) does social influence play a role in customers’ helping decisions? and (2) what are the motives for helping? Through two experimental studies, we provide evidence that two different forms of social influence play a role in helping others during SST failures, and customers have self-centered (vs. other-centered) motives. Results from Study 1 showed that individuals in the private environment indicated more willingness to help than individuals in the public environment did due to heightened perceived responsibility. Study 2 revealed that tie strength influenced willingness to help via a dual pathway: perceived responsibility and social approach motives. Finally, we discuss and highlight the positive influence that self-centered motives can exert in the SST failure scene.     

Environmental Multi‐dimensionality and Staff Localization in Multinational Enterprises: The Case of Korean Firms

The person–environment fit theory posits that the term “environment” can be defined at different levels. This study delineates two environmental dimensions (strategic and organizational) and empirically examines the potential moderating effects of two strategic factors (intra‐ and inter‐regional diversification) on the relationship between two organizational factors (subsidiary ownership and host‐country experience) and MNE subsidiary staffing composition. The results indicate that strategic and organizational dimensions have impacts on subsidiary staffing composition. This study also finds that the interaction effects between strategic and organizational factors are significant only when there is congruence between demands from different environmental dimensions.     

Varying Coefficient Regression Models: A Review and New Developments

Varying coefficient regression models are known to be very useful tools for analysing the relation between a response and a group of covariates. Their structure and interpretability are similar to those for the traditional linear regression model, but they are more flexible because of the infinite dimensionality of the corresponding parameter spaces. The aims of this paper are to give an overview on the existing methodological and theoretical developments for varying coefficient models and to discuss their extensions with some new developments. The new developments enable us to use different amount of smoothing for estimating different component functions in the models. They are for a flexible form of varying coefficient models that requires smoothing across different covariates' spaces and are based on the smooth backfitting technique that is admitted as a powerful technique for fitting structural regression models and is also known to free us from the curse of dimensionality.     

Relevance of culture in studies of leadership: ignored or dismissed?

Asia Pacific Journal of Management - Until recently, conclusions drawn about leadership have been made from a decidedly Western perspective, primarily based on theory developed in the U.S. using...     

Auditors' Responses to Workload Imbalance and the Impact on Audit Quality*

Using detailed data for fieldwork hours and audit hours by rank from audit engagements in Korea, we examine whether audits conducted under workload imbalance, proxied by busy‐season audits, impair audit quality, and how auditors adjust staff assignments for busy‐season audits. We generally find that busy‐season audits are associated with lower audit quality, and that audit firms reduce the involvement of senior auditors during busy‐season audits. In addition, the greater the involvement of senior auditors and junior auditors, the lesser the deterioration in audit quality. Finally, although there is no increase in interim audits in response to workload imbalance during busy seasons, increasing interim audits can mitigate the negative impact of busy‐season audits on audit quality. Our results are relevant to auditors and regulators, who have expressed concerns about the adverse effects of workload imbalance on audit quality.     

Institutional Monitoring: Evidence from the F‐Score

The extant literature shows that institutional investors engage in corporate governance to enhance a firm's long‐term value. Measuring firm performance using the F‐Score, we examine the persistent monitoring role of institutional investors and identify the financial aspects of a firm that institutional monitoring improves. We find strong evidence that long‐term institutions with large shareholdings consistently improve a firm's F‐Score and that such activity occurs primarily through the enhancement of the firm's operating efficiency. Other institutions reduce a firm's F‐Score. Moreover, we find evidence that, while monitoring institutions improve a firm's financial health, transient (followed by non‐transient) institutions trade on this information.     

CONVERTIBLE BOND PRICING MODELS

Convertible bonds are an important segment of the corporate bond market, with worldwide outstandings approaching US$235 billion. Simple pricing models value a convertible bond as being equivalent to a straight bond with an embedded option that enables the bond holder to convert to a specific amount of common stock. The straight bond is subject to both interest rate and credit risk, whereas the option to convert is dependent on the underlying stock price, which exposes the convertible bond holder to equity risk. The complexity of these features means that convertible bonds tend to be treated casually in major derivatives and corporate finance textbooks. This paper presents a survey of the theoretical and empirical aspects of convertible bond pricing. The limitations of these studies are highlighted to identify those areas of research that may improve the valuation process and facilitate the application of these securities for corporate financing.     

Changing Perceptions of Maturity Mismatch in the U.S. Banking System: Evidence from Equity Markets

We use the sensitivity of bank holding company equity returns to market interest rates as an indicator of perceived maturity mismatch. Based on data from 1990 to 2009, there is only weak evidence that market participants perceived banks to be effectively short‐funded. However, looking at 1990–1996 and 1997–2009 subsamples separately, our results suggest that U.S. commercial banks were perceived as short‐funded during the earlier time period but not the later. During this time of changing perceptions of maturity mismatch, banks were increasing their holdings of real estate loans as a share of total assets. We present evidence that, subsequent to 1996, market participants perceived real estate loans as having become effectively shorter‐term.     

Proving regularity of the minimal probability of ruin via a game of stopping and control

We reveal an interesting convex duality relationship between two problems: (a) minimizing the probability of lifetime ruin when the rate of consumption is stochastic and the individual can invest in a Black–Scholes financial market; (b) a controller-and-stopper problem, in which the controller controls the drift and volatility of a process in order to maximize a running reward based on that process, and the stopper chooses the time to stop the running reward and pays the controller a final amount at that time. Our primary goal is to show that the minimal probability of ruin, whose stochastic representation does not have a classical form as does the utility maximization problem (i.e., the objective’s dependence on the initial values of the state variables is implicit), is the unique classical solution of its Hamilton–Jacobi–Bellman (HJB) equation, which is a non-linear boundary-value problem. We establish our goal by exploiting the convex duality relationship between (a) and (b).