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This paper aims to investigate how a prospective buyer’s optimal home-size purchase can be determined by means of a stochastic-dominance (SD) analysis of the historical data of Hong Kong.

By means of SD analysis, the paper uses monthly property yields in Hong Kong over a 15-year period to illustrate how buyers of different risk preference may optimize their home-size purchase.

Regardless of whether the buyer eschews risk, embraces risk or is indifferent to it, in any adjacent pairing of five well-defined housing classes, the smaller class provides the optimal purchase. In addition, risk-averters focusing on total yield would prefer to invest in the smallest and second-smallest classes than in the largest class.

As the smaller class provides the optimal purchase, the smallest class affords the buyer the optimal purchase over all classes in this important housing market – at least where rental yields are of primary concern.

The findings suggest that in the Hong Kong housing market, long-term investors may be better off purchasing smaller homes. For other type of investors, it depends on their risk preference.

There is a very small body of empirical literature on housing investment, especially if the focus is on the optimal home-size purchase.

This paper examines the decision criteria used by federal courts to adjudicate equitable innocent-spouse relief, when such relief has previously been denied by the Internal Revenue Service (IRS). Empirical logit/probit regression is used, rather than traditional legal analysis. Specifically, we determine which of the equitable-relief criteria detailed in the innocent-spouse rules did affect judicial decisions during our sample period. We also determine the relative importance of the factors. Using these data, taxpayers and their advisors can better decide whether to pursue further litigation, and how best to tailor the pertinent arguments.

International business programs became realities in the 1950s, but only at two universities: Columbia and Indiana. In the 1960s, more universities added IB programs and departments; the 1970s saw even more added as universities realized that IB programs would enhance their reputations, improve student knowledge and expertise, and enhance companies’ future success. In 1974, the AACSB added internationalization as a requirement for business schools, forcing even more to enhance the international dimensions of their courses, programs, and faculty. Now virtually all B-schools have become global to some extent, although major differences remain in the quantity and quality of their internationalization.

The purpose of this paper is to reflect, personally, regarding work, politically and theoretically, on 40 years of involvement in organization studies, profeminism and intersectionality.

The paper uses autoethnography.

The paper shows the need for a broad notion of the field and fieldwork, the development of intersectional thinking, the complexity of men's relations to feminism and intersectionality and the need to both name and deconstruct men in the research field.

The paper suggests a more explicit naming and deconstruction of men and other intersectional social categories in doing research.

The paper suggests a more explicit naming and deconstruction of men and other intersectional social categories in equality practice.

The paper suggests a more explicit naming and deconstruction of men and other intersectional social categories in social, political and policy interventions.

The paper points to recent historical changes in the connections between feminism, gender, profeminism, organizations and intersectionality in relation to equality, diversity and inclusion.

The purpose of this article is to find decision‐making models for the design and control of processes regarding patient flows, considering various problem types, and to find out how usable these models are for managerial decision making.

A systematic review of the literature was carried out. Relevant literature from three databases was selected based on inclusion and exclusion criteria and the results were analyzed.

A total of 68 articles were selected. Of these, 31 contained computer simulation models, ten contained descriptive models, and 27 contained analytical models. The review showed that descriptive models are only applied to process design problems, and that analytical and computer simulation models are applied to all types of problems to approximately the same extent. Only a few models have been validated in practice, and it seems that most models are not used for their intended purpose: to support management in decision making.

The comparability of the relevant databases appears to be limited and there is an insufficient number of suitable keywords and MeSH headings, which makes searching systematically within the broad field of health care management relatively hard to accomplish.

The findings give managers insight into the characteristics of various types of decision‐support models and into the kinds of situations in which they are used.

This is the first time literature on various kinds of models for supporting managerial decision making in hospitals has been systematically collected and assessed.

This chapter reviews problems in the identification of learning disabilities, with particular reference to issues involving discrepancy between IQ and achievement as a criterion for definition. Alternatives to present procedures for identification of learning disabilities are described. It is concluded that no presently proposed alternative meets all necessary criteria for identification of learning disabilities, and that radically altering or eliminating present conceptualizations of learning disabilities may be problematic. The major problems of identification of learning disabilities – including over-identification, variability, and specificity – can be addressed, it is suggested, by increasing specificity and consistency of state criteria and strict adherence to identification criteria on the local implementation level. However, further research in alternative methods for identifying learning disabilities is warranted.