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.     

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...     

Marrying personality and job resources and their effect on engagement via critical psychological states

This study examined the process by which individuals become engaged with their jobs by integrating seminal engagement theory. More specifically, we suggest that an individual factor (i.e. autotelic personality) and two contextual factors (i.e. feedback environment, job autonomy) interact to predict work engagement through three critical psychological states – namely availability, meaningfulness, and safety. This moderated mediation framework was tested using a cross section of the US population (n = 284); data were collected at two points in time with 3 months in between. Availability and meaningfulness mediated the relationship between autotelic personality and work engagement. Autotelic personality’s indirect effect on work engagement through meaningfulness and safety was conditional such that the nature of feedback environment’s effect depended on job autonomy level. Theory and practice implications are discussed.     

Dissipative Competition: Evidence from a Quasi‐Natural Experiment

We document that contrary to the conventional view, the costs of domestic firms in terms of selling, general and administrative expenses and cost of goods sold increase significantly following exogenous shocks that increase competition, namely material import tariff cuts affecting US manufacturing industries over the period 1974–2005. Incompatible with an agency explanation, the cost increase is more pronounced among firms with higher CEO/insider/board ownership. We further find that the cost increase is more evident among firms with smaller market share and among focused firms. Generally, our results are consistent with the notion of ‘dissipative competition’ discussed in the seminal papers by Tullock.     

How about selling commodity futures losers?

This paper explores the benefits of extending the investment universe to commodity futures, from the perspective of momentum traders. We find that the growth-optimal portfolio includes negative (positive) weights on commodity futures losers (stock winners). Motivated by this finding, we construct a joint momentum strategy, buying stock winners and selling commodity futures losers, and show that it generates an average monthly return of up to 1.91% and provides much lower skewness (0.04) and kurtosis (1.27) than a traditional stock momentum strategy. It also greatly improves profitability, especially in unfavorable market states, and thus effectively manages tail risk.     

Family firm succession and performance

We analyse more than half a million businesses from the Census Bureau’s 2007 Survey of Business Owners with less survivorship and size biases. After controlling for firm- and owner-specific characteristics, we find family businesses generate fewer receipts and less employment and payroll. Family businesses involving a second-generation owner-manager show better performance. On the other hand, those managed by founder-owners show worse performance. These results of all firms, mostly small businesses, are contrary to the previous studies of large public firms. However, for a subsample of 2064 businesses large enough to be listed on a US stock exchange, the results become consistent with the previous large-firm studies.     

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.