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...     

Modeling and optimization of a container drayage problem with resource constraints

This paper investigates the problem faced by firms that transport containers by truck in an environment with resource constraints. The considered area is export-dominant. As a result, there are three types of container movements as inbound full, outbound full, and inbound empty movements. Both the time windows at the terminal and at the customers’ places and the operation times are considered. Empty containers are also regarded as separate transportation resources besides trucks. The total operating time including waiting time of all the trucks in operation is minimized. The problem is first formulated as a directed graph and then mathematically modeled based on the graph. It falls into a multiple traveling salesman problem with time windows (m-TSPTW) with resource constraints. An algorithm based on reactive tabu search (RTS) is developed to solve the problem. A number of randomly generated examples indicate that the algorithm can be applied to the real world.     

Concerning trust and information

Communication and the associated information exchanges are key drivers of the development of relationships and of the trust embedded within them. This paper considers the development of business relationships in terms of the continuing co-evolution of trust and information exchange and the issues associated with researching these processes. The interconnections of trust and information exchange are examined in a survey of business relationships involving information exchange (n = 355). Analysis of variance shows few, if any, of the aspects of the standard conceptualizations of information exchange are associated with increased levels of trust. It is information exchange norms that have the greatest (positive) association with the level of trust. These norms emerge as part of the long term co-production of the relationship itself. This has important managerial implications. We conclude there are few managerial actions involving managing communication that can “manufacture” trust and improve or develop relationships in the short term. The paper concludes with a discussion of alternative ways of envisaging communication and relationship management and the nature and future of research into the evolution of business relationships.     

Unfolding the impact of leadership and management on sustainability performance: Green and lean practices and guanxi as the dual mediators

This study aims to empirically evaluate the predictors that influence sustainability performance among manufacturing firms. Leadership and management, green and lean practices, and guanxi were examined to determine whether these predictors are directly and/or indirectly affecting sustainability performance; 160 valid responses were collected and partial-least-squares-structural-equation-modeling (PLS-SEM) was used to analyze the data. The results showed that leadership and management positively influenced green and lean practices and green and lean practices positively influenced sustainability performance. Leadership and management also positively influenced guanxi. Interestingly, leadership and management and guanxi do not exert a significant direct influence on sustainability performance. The findings contributed to the development of the resource-based-view theory further by empirically exploring the significance of leadership and management coupled with green and lean practices as competencies and capability to drive sustainability performance. The testing of the dual mediators' effects further added value to this study.     

Asian Management Research: Status Today and Future Outlook

abstract    This paper reviews the existing management research on Asia. The findings highlight that Asian management research not only builds the understanding of Asia, but also makes a critical contribution to the broad domain of management studies. In particular, Asian-focused research allows researchers to extend and revise theories through the consideration of new contextual variables. This enables researchers to fine-tune theories by developing context-specific conditions and operationalization of key constructs, which in turn allows researchers to develop new theories and constructs which are generalizable to research in other contexts. This systematic examination will help to lay the foundation for the further expansion of the understanding of both Asia and of management research in general.     

Translating corporate social performance into financial performance: exploring the moderating role of high-performance work practices

The purpose of this study is to examine the role of high-performance work practices (HPWPs) in helping to translate corporate social performance (CSP) into corporate financial performance (CFP). We employ arguments from the behavioral view of human resource management to highlight the vertical connection between a firm's proclivity for CSP and the management practices it adopts. Furthermore, we examine the moderating influence of HPWPs on the CSP–CFP linkage. Results suggest that HPWPs moderate the relationship between CSP and financial outcomes, and suggest that human resource practices may play an important role in enhancing a positive CSP–CFP relationship by helping to vertically align the behaviors of employees with the values and orientation of the organization.     

Conditions for invariance of the multivariate versions of grubbs’ test and bartlett’s test under a general dependency structure

Summary This paper generalizes a result by Stadje (1984) by deriving conditions for which a general dependency structure for multivariate observations, given in Pavur (1987), yields a positive definite covariance structure. This general dependency structure allows the sample covariance matrix to be distributed as a constant times a Wishart random matrix. It is then demonstrated that the maximum squared-radii test and a test for equal population covariance matrices have null distributions which remain unchanged when the new general dependency structure, rather than the usual independence structure, for the vector observations, is assumed. Moreover, under a general dependency structure for which the population covariance matrices are unequal, it is shown that the distribution of the test statistic for testing equal covariance matrices is identical to the distribution of the same test statistic when the population covariance matrices are equal and the observations are independent.     

Bias Reduction in Dynamic Panel Data Models by Common Recursive Mean Adjustment*

The within‐group estimator (same as the least squares dummy variable estimator) of the dominant root in dynamic panel regression is known to be biased downwards. This article studies recursive mean adjustment (RMA) as a strategy to reduce this bias for AR(p) processes that may exhibit cross‐sectional dependence. Asymptotic properties for N,T→∞ jointly are developed. When ( log ²T)(N/T)→ζ, where ζ is a non‐zero constant, the estimator exhibits nearly negligible inconsistency. Simulation experiments demonstrate that the RMA estimator performs well in terms of reducing bias, variance and mean square error both when error terms are cross‐sectionally independent and when they are not. RMA dominates comparable estimators when T is small and/or when the underlying process is persistent.     

Using an approximate kiefer-weiss solution for testing insect population densities

Summary A sequential testing procedure called 2-SPRT for the meanμ of the negative binomial distribution with known exponentk is presented. For any fixedμ ₀(μ ₁<μ ₀<μ ₂), the 2-SPRT provides an asymptotic solution to the modified Kiefer-Weiss problem. Determination ofμ ₀ such that the test provides an approximate solution to the Kiefer-Weiss problem is described. The behavior of the 2-SPRT and the Sequential Probability Ratio Test is investigated using Monte Carlo methods. The error probabilities and the average sample numbers are compared. All the computations were carried out on the Alabama Supercomputer.