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The critical dimension and the one that can unify knowledge through systemic interrelationships, is unification of the purely a priori with the purely a posteriori parts of total reality into a congruous whole. This is a circular cause and effect interrelationship between premises. The emerging kind of world view may also be substantively called the epistemic‐ontic circular causation and continuity model of unified reality. The essence of this order is to ground philosophy of science in both the natural and social sciences, in a perpetually interactive and integrative mould of deriving, evolving and enhancing or revising change. Knowledge is then defined as the output of every such interaction. Interaction arises first from purely epistemological roots to form ontological reality. This is the passage from the a priori to the a posteriori realms in the traditions of Kant and Heidegger. Conversely, the passage from the a posteriori to a priori reality is the approach to knowledge in the natural sciences proferred by Cartesian meditations, David Hume, A.N. Whitehead and Bertrand Russell, as examples. Yet the continuity and renewal of knowledge by interaction and integration of these two premises are not rooted in the philosophy of western science. Husserl tried for it through his critique of western civilization and philosophical methods in the Crisis of Western Civilization. The unified field theory of Relativity‐Quantum physics is being tried for. A theory of everything has been imagined. Yet after all is done, scientific research program remains in a limbo. Unification of knowledge appears to be methodologically impossible in occidental philosophy of science.

This chapter examines how proponents of industrialization used multiple modes of communication to socially construct the rational myth of industrialization in the French construction sector after World War II. We illuminate the respective roles of visual and verbal communication in this process. Our findings suggest that actors construct rational myths according to the following step-by-step method: first, they use visuals to suggest associations between new practices and valuable purposes; then they use verbal text to establish the technical rationality of certain practices; and lastly, they employ both verbal and visual communications to convey their mythical features.

Allyn Young′s lectures, as recorded by the young Nicholas Kaldor, survey the historical roots of the subject from Aristotle through to the modern neo‐classical writers. The focus throughout is on the conditions making for economic progress, with stress on the institutional developments that extend and are extended by the size of the market. Organisational changes that promote the division of labour and specialisation within and between firms and industries, and which promote competition and mobility, are seen as the vital factors in growth. In the absence of new markets, inventions as such play only a minor role. The economic system is an inter‐related whole, or a living “organon”. It is from this perspective that micro‐economic relations are analysed, and this helps expose certain fallacies of composition associated with the marginal productivity theory of production and distribution. Factors are paid not because they are productive but because they are scarce. Likewise he shows why Marshallian supply and demand schedules, based on the “one thing at a time” approach, cannot adequately describe the dynamic growth properties of the system. Supply and demand cannot be simply integrated to arrive at a picture of the whole economy. These notes are complemented by eleven articles in the Encyclopaedia Britannica which were published shortly after Young′s sudden death in 1929.

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.

Here Marx's philosophy is dissected from the angle of bourgeois capitalism which he, Marx, sought to overcome. His social, political and economic ideas are criticised. Although it is noted that Marx wanted to ameliorate human suffering, the result turned out to be Utopian, contrary to his own intentions. Contrary to Marx, it is individualism that makes the best sense and capitalism that holds out the best hope for coping with most of the problems he sought to solve. Marx's philosophy is alluring but flawed at a very basic level, namely, where it denies the individuality of each person and treats humanity as “an organic body”. Capitalism, while by no means out to guarantee a perfect society, is the best setting for the realisation of the diverse but often equally noble human goals of its membership.

The purpose of this paper is to examine extreme value charts and analyse means based on half logistic distribution.

Variable control charts with subgroup observations based on the extreme values at each subgroup are constructed without specially going to any subgroup statistic. The control chart constants depend on the probability model of the extreme order statistic of each subgroup and the size of the subgroup. Accordingly the proposed chart is normal as extreme value chart. As a by‐product the technique of analysis of means for a skewed population is exemplated through half logistic distribution and extreme value control charts. The results are illustrated by examples on live data.

H.L.D is found to be better test for the data of the three examples, ANOM gave a larger (complete) homogeneity of data than those of Ott.

Supposing arithmetic means of k subgroups of size “n” each drawn from a half logistic model. If these subgroup means are used to develop control charts to assess whether the population from which these subgroups are drawn is operating with admissible quality variations. Depending on the basic population model, we may use the control chart constants developed by the authors or the popular Shewart constants given in any SQC text book. Generally the authors say that the process is in control if all the subgroup means fall within the control limits. Otherwise it is said that the process lacks control.

Half logistic distribution is a better model, exhibiting significant linear relation between sample and population quantiles.

The overall goal of science is to build a valid and reliable body of knowledge about the functioning of the world and how applying that knowledge can change it. As personnel and human resources management researchers, we aim to contribute to the respective bodies of knowledge to provide both employers and employees with a workable foundation to help with those problems they are confronted with. However, what research on research has consistently demonstrated is that the scientific endeavor possesses existential issues including a substantial lack of (a) solid theory, (b) replicability, (c) reproducibility, (d) proper and generalizable samples, (e) sufficient quality control (i.e., peer review), (f) robust and trustworthy statistical results, (g) availability of research, and (h) sufficient practical implications. In this chapter, we first sing a song of sorrow regarding the current state of the social sciences in general and personnel and human resources management specifically. Then, we investigate potential grievances that might have led to it (i.e., questionable research practices, misplaced incentives), only to end with a verse of hope by outlining an avenue for betterment (i.e., open science and policy changes at multiple levels).

Discusses the 27 papers in ISEF 1999 Proceedings on the subject of electromagnetisms. States the groups of papers cover such subjects within the discipline as: induction machines; reluctance motors; PM motors; transformers and reactors; and special problems and applications. Debates all of these in great detail and itemizes each with greater in‐depth discussion of the various technical applications and areas. Concludes that the recommendations made should be adhered to.

Two ideal types of data can be distinguished in housing research: structured and less-structured data. Questionnaires and official statistics are examples of structured data, while less-structured data arise for instance from open interviews and documents. Structured data are sometimes labelled quantitative, while less-structured data are called qualitative. In this paper structured and less-structured data are considered from the perspective of measurement and analysis. Structured data arise when the researcher has an a priori category system or measurement scale available for collecting the data. When such an a priori system or scale is not available the data are called less-structured. It will be argued that these less-structured observations can only be used for any further analysis when they contain some minimum level of structure called a category system, which is equivalent to a nominal measurement scale. Once this becomes evident, one realizes that through the necessary process of categorization less-structured data can be analyzed in much the same way as structured data, and that the difference between the two types of data is one of degree and not of kind. In the second part of the paper these ideas are illustrated with examples from my own research on the meaning of preferences for dwelling features in which the concept of a meaning structure plays a central part. Until now these meaning structures have been determined by means of semi-structured interviews which, even with small samples, result in large amounts of less-structured data.