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.     

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.     

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.     

Forecasting first births

This study is concerned with one aspect of the family cycle, namely, the transition from young married to young married with small children. The focus is on developing models to forecast entries into this latter stage for the purpose of marketing research. "Using ordinary least squares, forecasting models were estimated for (1) total number of first births, (2) number of white first births, and (3) number of nonwhite first births." Models are estimated for both the United States and California using data from official sources.