The Importance of an Innovative Product Design on Customer Behavior: Development and Validation of a Scale

The importance of innovative product design (IPD) has increased in recent years because customers' decision‐making factors have changed from product price to product design. However, a definition and measurement of IPD have not been developed adequately. Building on the customer perspective, this study defines IPD and develops its standard measurement with three product design attributes: aesthetics, features, and ergonomics. Results of the empirical test indicate strong evidence for the reliability and validity of the measurement. Overall, this study shows that our measurement captures unique customer perceptions on product innovativeness from the product design. Additionally, theoretical and practical implications are discussed.     

Recovering Risky Technologies Using the Almost Ideal Demand System: An Application to U.S. Banking

We present and estimate a model that shifts the focus of modeling production from the traditional assumptions of profit maximization and cost minimization to a more general assumption of managerial utility maximization that can incorporate risk incentives into the analysis of production and recover value-maximizing technologies. We implement the model using the almost ideal demand system. In addition, we use the model to measure efficiency in a more general way that can incorporate a concern for the market value of firms assets and equity and identify value-maximizing firms. This shift in focus bridges the gap between the risk incentives literature in banking that ignores the microeconomics of production and the production literature that ignores the relationship between production decisions and risk. Our estimation of the model for a sample of U.S. commercial banks illustrates that results obtained from our generalized model can differ significantly from those obtained from the standard profit-maximization model, which ignores risk.     

Perceptions of the ethicality of favors at work in Asia: An 11-society assessment

We explore macro-level factors that shape perceptions of the ethicality of favors in Asian workplaces using the subordinate influence ethics (SIE) measure. We also expand and use the crossvergence model to examine the cross-level relationship between socio-cultural (i.e., traditional/secular; survival/self-expression; in-group favoritism) and business ideology influences (i.e., human development level, control of corruption) on perceptions of favor-seeking at work. This study examines the perceptions of a total of 4,325 managers and professionals in a diverse set of 11 Asian societies: China, Hong Kong, India, Indonesia, Malaysia, Pakistan, Singapore, South Korea, Taiwan, Thailand, and Vietnam. Our investigation focuses on both the “softer” (image management) and “harder” (self-serving) sides of subordinate influence attempts to seek favors, as well as the degree of ethical differentiation across these societies. Key results based on hierarchical linear modeling (HLM) suggest that both the World Value Survey’s socio-cultural values as well as in-group favoritism contribute to our understanding of influence behaviors in Asia. Likewise, level of human development and control of corruption also appear to be promising predictors of influence ethics. In sum, our results suggest that widening the scope of the crossvergence conceptualization of socio-cultural and business ideology influences engender a better understanding of differences in attitudes toward subordinate use of favoritism across Asian societies.     

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.     

Testing the differences between the determinants of moody's and standard & poor's ratings an application of smooth simulated maximum likelihood estimation

This paper extends previous studies on bond ratings by modeling as a system of equations the determinants of a municipality's decision to obtain a bond rating and the determinants of the municipality's rating for the two major rating agencies. Our model provides a framework to examine formally the differences between the two agencies in the determinants of the ratings. We estimate the four-equation system by smooth simulated maximum likelihood estimation and then construct minimum χ² tests on cross-equation restrictions based on optimal minimum distance estimation. Self-selection is found to be important in Moody's ratings while not in those of S&P. Split ratings appear to reflect differences in both the weight attached to specific determinants of the ratings and differences in the way the bonds are classified.     

The joint replenishment and delivery scheduling of the one-warehouse, n-retailer system

We deal with the joint replenishment and delivery scheduling of the one-warehouse, n-retailer system in this paper. We suggest a more flexible policy for the joint replenishment and delivery scheduling of a warehouse compared with the existing researches. We introduce the mathematical model and two efficient algorithms for the joint replenishment and delivery scheduling of the warehouse. Subsequently, we develop the hybrid genetic algorithm (GA) and compare it with two efficient heuristic algorithms for extensive computational experiments. Further, we show the advantages of our GA in dealing easily with resource restrictions.     

A revised framework of global strategy: Extending the coordination-configuration framework

Although there have been significant efforts in conceptualizing global strategies, few frameworks have been developed to measure the relative globalness of firms. Porter proposed a specific framework of coordination and configuration for this purpose. This article proposes a new framework of global strategy by extending Porter's original framework. The conceptual clarification of this article will be useful in understanding different types of firms that are pursuing a global strategy. © 1995 John Wiley & Sons, Inc.