Do norms of decision-making styles,organizational design and management affect performance of Japanese firms? an exploratory study of medium and large firms

The success and resilience of Japanese firms have led many scholars and practitioners to theorize and speculate about the impact of what they have termed the 'Japanese management style' upon performance. There have been few studies that have attempted to explore empirically the links between the way Japanese firms organize, manage and decide, and their performance. This paper investigates the association between norms of decision-making style, organizational design and management, and some measures of firm performance. The empirical pattern of norms was assessed on the basis of responses of a random sample (N = 349) of Japanese managers. The study demonstrates that while there appears to be no support for the proposition that certain norms universally affect performance, in some sectors the impacts of norms on decision-making style, organizational design and management may be significant. The study concludes with the implications for theory building of this empirical exploration.     

Some Determinants of Property Crime: Economic Factors Influence Criminal Behavior But Cannot Completely Explain the Syndrome

Abstract . An empirical analysis of the property crimes, robbery, burglary and larceny, is presented for all 120 counties in Kentucky. While this analysis is based on an economic model of crime, certain sociological and legal variables are included as well in the system of equations. Overall, the empirical results support prior studies’findings with the exception that a quadratic relationship is found to exist between urbanization and each of the property crimes. Furthermore, neither the economic nor the non economic influences measured appear more important for affecting crime rates. Specifically, results indicate that the level of poverty, the degree of tourism, the presence of police, the unemployment rate and the apprehension rate all affect property crimes. In contrast, the length of sentence, the degree of industrialization, the level of public assistance payments and the proportion of youth in the county have no affect on property crime rates in these areas.     

Exact finite sample properties of double k-class estimators in simultaneous equations

In our earlier paper [Srivastava, Agnihotri and Dwivedi (1980)] the dominance of double k-class over k-class with respect to exact mean squared error matrix criteria is established. It is observed that given a member of k-class, one can pick up a member of double k-class that will provide an improved estimator of the coefficients. This result prompted us to study the exact finite sample properties of the double k-class estimator. For this, we have considered a structural equation containing two endogenous variables and have investigated the properties of double k-class estimators of the coefficients of explanatory endogenous variables assuming characterizing scalars to be non-stochastic.     

Improving perishable product inventory management using goal programming

The multiple objectives of perishable product inventory management are examined in this paper. These objectives include: (1) satisfying demand by carrying sufficient inventories, (2) holding down inventory carrying costs, (3) keeping the amount of product spoilage (outdating) at an acceptable level, and (4) maintaining quality by using the product while it is still fresh, and (5) keeping the cost of rotation low. Some of the above objectives are in conflict. Thus, certain redistribution policies may help attain one or more of these objectives to a greater extent. Redistribution involves the transfer of the product from outlets where demand is low to outlets where demand is high. A goal programming model for solving redistribution problems is presented. An example is provided and sensitivity analysis is performed in order to determine when redistribution is advantageous. Applicability of the model is discussed.     

Robustness to the unavailability of data in block designs

We present general results for finding or boundingt _maxB , the maximum number of arbitrary whole blocks of observations which can be removed from a block design, and still leave all of the elementary treatment contrasts estimable. The block sizes may be larger than the number of treatments. The results are applied to BBDs, reinforced BIBDs and BBDs, BTIBDs, and a series of variance balanced incomplete block designs with two block sizes. Also given for most of these designs, are results fort _max, the maximum number of arbitrary, scattered observations that can become unavailable, and still leave all of the elementary treatment contrasts estimable.The work was undertaken while Dr. Whittinghill was visiting Ohio State University, and supported by a grant from the Natural Sciences Division, Colby College, Waterville, Maine.     

Testing equality of variances in the analysis of repeated measurements

The problem of comparing the precisions of two instruments using repeated measurements can be cast as an extension of the Pitman-Morgan problem of testing equality of variances of a bivariate normal distribution. Hawkins (1981) decomposes the hypothesis of equal variances in this model into two subhypotheses for which simple tests exist. For the overall hypothesis he proposes to combine the tests of the subhypotheses using Fisher's method and empirically compares the component tests and their combination with the likelihood ratio test. In this paper an attempt is made to resolve some discrepancies and puzzling conclusions in Hawkins's study and to propose simple modifications.
The new tests are compared to the tests discussed by Hawkins and to each other both in terms of the finite sample power (estimated by Monte Carlo simulation) and theoretically in terms of asymptotic relative efficiencies.     

The transformational management of conflict: A perspective from the early Christian church

An understanding of transformational leadership has been developed for many spheres of management, but not previously for organizational conflict. This paper analyzes a successful conflict mediation attempt in the early Christian church and draws from it elements of a model of the transformational management of conflict that can be applied by managers in many contemporary work organizations. The elements include (a) reframing the conflict, (b) a focus on a shared organizational vision, (c) the placement of responsibility for dispute resolution in the hands of organizational members directly and indirectly involved in conflict, and (d) the use of communication devices consistent with the desired outcome. The paper suggests skills necessary for managers to implement the model and implications for research on it.     

Firm Growth and Survival: Does Ownership Structure Matter?

The publication of the passive learning model of Jovanovic and subsequently the active exploration model of Ericson and Pakes led to a resurgence in research on firm growth and survival. Empirical work measuring the relationship of growth and survival relative to size and age uncovered a number of strong regularities, consistent with the new theoretical models and also with a rather broad class of models of which the above represent special cases. But recent theoretical work has shown that when the learning models are applied to the special case of the labor managed firm, most of the sharp empirical predictions derived for profit maximization are rendered indeterminate. Given the impact of ownership structure on the theoretical results of the learning models, we use a dataset of French producer cooperatives to determine whether firms of different ownership structures actually have substantially different growth and survival patterns. We find that French cooperatives survive and grow in very much the same way as has been found for U.S. firms, suggesting that the empirical regularities previously uncovered hold for a much broader class of firms. We are left to conclude that the underlying empirical growth and survival relationships continue to hold for firms with sharply differing ownership structures, and the theoretical models are attempting to explain these broad-based relationships by means of overly specific modeling.