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Concerned with the increasing use of twin jet aircraft over longer ranges, this paper by Richard W. Taylor of the Boeing Commercial Airplane Company put the present level of operations of these types in historical perspective by considering how the need for additional power was met, first, by providing a greater number of engines (since increased horsepower or thrust was not available). This state of affairs continued for a considerable time and it has only been in the relatively recent past that the ability to produce more and more power from an engine has met performance requirements.

This chapter examines whether the supply of food is large enough to feed an increasing world population for the 2012–2050 period. Special attention is given to the implications of bioenergy production on global and regional food security.

For this analysis, a global food security simulation model was developed to determine if the global and regional supply of food, in terms of calories, is large enough to meet the demand and also to estimate the impact on food prices.

This chapter found that the global supply of food in terms of calories is insufficient to satisfy food demand in 2050, with food shortages especially significant in Africa.

The estimated shortage of food may result in significant food-price inflation by 2050.

Examines trend rules in conjunction with other well‐known supplementary runs rules to assess their impact when used in control charting. Focuses on a set of 613 trend rules deemed as potential candidates to increase the sensitivity of the control chart. The examined rules are viewed in the light of a stable environment, which determines the false alarm rate, and then in an environment in which the process mean is subjected to drift. Results indicate that there are subsets of trend rules that aid in the detection of out‐of‐control conditions depending on the severity of the drift and the number of zonal‐based supplementary runs rules used.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

This issue is a selected bibliography covering the subject of leadership.

Communications regarding this column should be addressed to Mrs. Cheney, Peabody Library School, Nashville, Term. 37203. Mrs. Cheney does not sell the books listed here. They are available through normal trade sources. Mrs. Cheney, being a member of the editorial board of Pierian Press, will not review Pierian Press reference books in this column. Descriptions of Pierian Press reference books will be included elsewhere in this publication.

Outlines a new method of discovering original documents related to management history. Uses seemingly insignificant statements in books, articles or original documents to locate documents not listed on any computer database or public archive records, but which are undiscovered in attics or basements. The method involves the use of sources not commonly used by management scholars: obituaries, wills, cemetery records, deeds, land‐ownership maps, city directories and court records. Provides two examples to illustrate the discovery of actual documents: (1) the discovery of ten years of correspondence between F.W. Taylor and S. Thompson on the time required to do work, and (2) new evidence on F.W. Taylor’s interest in high‐heat treatment of tool steel leading to high‐speed steel and in shovels and shovelling. Finally presents new evidence on Taylor’s secret agreement with Bethlehem Steel to give favourable testimony in a patent case in exchange for a free licence for the high‐speed steel process Taylor had sold to Bethlehem for more than $50,000 in 1901.

Statistical inference (estimation and testing) for the stochastic volatility (SV) model Taylor (1982, 1986) is challenging, especially likelihood-based methods which are difficult to apply due to the presence of latent variables. The existing methods are either computationally costly and/or inefficient. In this paper, we propose computationally simple estimators for the SV model, which are at the same time highly efficient. The proposed class of estimators uses a small number of moment equations derived from an ARMA representation associated with the SV model, along with the possibility of using “winsorization” to improve stability and efficiency. We call these ARMA-SV estimators. Closed-form expressions for ARMA-SV estimators are obtained, and no numerical optimization procedure or choice of initial parameter values is required. The asymptotic distributional theory of the proposed estimators is studied. Due to their computational simplicity, the ARMA-SV estimators allow one to make reliable – even exact – simulation-based inference, through the application of Monte Carlo (MC) test or bootstrap methods. We compare them in a simulation experiment with a wide array of alternative estimation methods, in terms of bias, root mean square error and computation time. In addition to confirming the enormous computational advantage of the proposed estimators, the results show that ARMA-SV estimators match (or exceed) alternative estimators in terms of precision, including the widely used Bayesian estimator. The proposed methods are applied to daily observations on the returns for three major stock prices (Coca-Cola, Walmart, Ford) and the S&P Composite Price Index (2000–2017). The results confirm the presence of stochastic volatility with strong persistence.