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Corporations have continued to grow and extend their operations into the global economy to the point that the modern corporation has become larger and more influential than many sovereign countries. In this global expansion, corporations have extended their operations with little restraint-almost only limited by corporate lawyers' imaginations. Modern corporations have become so pervasive; world populations are more dependent on them for their food, services, technologies, work and daily well-being than ever before.This book analyzes the twenty-first century forces challenging the executive l.

AbstractAlthough the strategic airlift system is under continuous analysis, C‐5A problems provided impetus to analyze the airlift system productivity function by using a large‐scale simulation model. Development of the simulation model (Simulation of Airlift Resources ‐ SOAR) was initiated by the Office of Secretary of Defense (Systems Analysis) in 1966. SOAR had barely become operational in time for the study in November 1968.Since limited verification and validation tests had been performed on the simulation model, the design of experiments was of critical importance. The experimental design had to be flexible enough to salvage the maximum amount of information possible upon the discovery of either a verification or validation error. In addition, the experimental design was required to accommodate the estimation of a large number of possibly changing independent variables.The experimental design developed for the analysis was full factorial design sets for a finite number of factors. Initial analysis began with aggregated sets of factors at two levels, and information gained from experiment execution was used to parse the sets. The process was sequential and parsing continued until the major explanatory independent variables were identified or enough information was obtained to eliminate the factor from further direct analysis. This design permitted the overlapping of simulation runs to fill out the factorial design sets.In addition to estimating the airlift productivity function, several other findings are reported which tended to disprove previous assumptions about the nature of the strategic airlift system.

Dans l'explication globale des décisions de l'homme d'affaires, on néglige la variable pourtant significative de ses attitudes politiques. Certainssocial scientistsont avancé que la société industrielle complexe de type capitaliste engendre chez les dirigeants de la petite entreprise toute une série de frustrations, d'aliénations, et d'insécurités, propres à les rendre perméables à l'extrémisme de droite. Cette théorie n'a pas été tellement validée par des études empiriques.L'hypothèse de base de la présente étude admettait que les petits entrepreneurs indépendants soient davantage disposés à embrasser l'idéologie de l'extrême droite que les gérants de succursales de vastes entreprises bureaucratiques. Les auteurs ont mené une enquête sur les attitudes propres aux deux types d'hommes d'affaires dans la ville de Wetaskiwin, en Alberta. Les réponses fournies furent groupées en échelles d'attitudes se rapportant au conservatisme, à l'intolérance, à l'autoritarisme et l'aliénation politiques. Une analyse sélective des données recueillies donna par la suite une confirmation statistique à l'hypothèse de départ.

Global competition and technology / Stephen P. Bradley, Jerry A. Hausman, and Richard L. Nolan -- How will information technology reshape organizations?; Computers as coordination technology / Thomas W. Malone and John F. Rockart -- A framework for the design of the emerging global organizational structure / Robert G. Eccles and Richard L. Nolan -- On the design of global information systems / Benn R. Konsynski and Jahangir Karimi -- The role of IT networking in sustaining competitive advantage / Stephen P. Bradley -- Telecommunications and the restructuring of the securities markets / George A. Hayter -- The coordination of global manufacturing / Ramchandran Jaikumar and David M. Upton

AbstractThe basic concepts and application of spectral analysis are explained. Stationary time series and autocorrelation are first defined. Autocorrelation is related to the familiar concepts of variance and covariance. The use of autocorrelation analysis is explained in estimating the interdependent relationship of a time series over discrete time lags. In order to measure the behavior of the time series using autocorrelation, it would be necessary to examine a very large number of autocorrelation lags. Alternatively, the technique of Fourier analysis can be used to transform the autocorrelation function of the time series into a continuous function, termed a spectrum. The spectrum has a one to one correspondence to the autocorrelation for the time series and has the advantage of representing all possible autocorrelations over the discrete time lags. The spectrum can then be examined as a measure of the behavior of the time series. Spectral analysis indicates the reliability of the analysis of autocorrelated variables when familiar statistical techniques such as sample means and variances are used.The application of spectral analysis to management science problems in three general areas is illustrated: (1) inventory demand, (2) transportation simulation, and (3) stock market price behavior. Spectral analysis was used to detect cycles and trends in the data. Analyses were focused on the spectrum which provides a measure of the relative contribution of cycles in a band of frequencies to the total variance of the data.