International briefing 16: training and development in the Republic of Ireland

This paper explores the landscape of training and development in the Republic of Ireland, a country with an impressive economic record in recent years. Both the Irish economic context and business context are explored. The national system for training and development and the surrounding policy and strategy context are set down. Survey data are drawn upon to examine the nature of training and development at organizational level. Here influence on training and development, levels of expenditure, the number of days per employee category and the dominant methods employed training and development are all discussed. Finally the academic study of training and development in the Republic of Ireland is examined.     

Fashion consumers and fashion problem recognition style

Consumer spending over the life span of today's 18‐ to 25‐year‐old emerging adults will reach into the $10 trillion range. Emerging adults are a powerful force in shaping demand for consumer products. The problem recognition styles associated with emerging adults can help marketers understand this group of consumers and provide insight into what kinds of products, services, and messages will appeal to them as lifelong consumers. The purpose of this study was to examine differences between men and women and among fashion consumer groups in fashion problem recognition style. Participants were a convenience sample of emerging adult consumers from one Midwestern university in the US, 136 men and 158 women who completed the Measure of Fashion Innovativeness and Opinion Leadership, Fashion Problem Recognition Style Scale, and provided demographic information. Both fashion followers and men reflected a need‐based approach to problem recognition. Both fashion change agents and women reflected a want‐based approach to problem recognition. Male fashion followers differed from all other groups in indicating a need‐based approach to problem recognition. This study built on previous work by examining differences in problem recognition style owing to fashion consumer group and gender. The basic premise behind problem recognition style was validated; that is, actual state (need‐based) vs. ideal state (want‐based) approaches to fashion problem recognition did relate to fashion consumer group membership and gender.     

Estimation of Agricultural Production Functfons on a World-Wide Basis

Agricultural production is becoming increasingly capital and research intensive. Hayami and Ruttan, along with others, have developed and applied the metaproduction functional approach to the examination of this phenomenon on a worldwide basis. Limitations to the approach derive from a restrictive functional form chosen for estimation, and from a restrictive specification of agricultural capital and land. This study addresses those difficulties by use of the flexible translog functional form for estimation and by specifying an overall agricultural capital index and a land measure incorporating differences in the quality of land (agricultural natural resource) endowments. Estimation results indicate that agricultural comparative advantage in production is likely shifting to developed countries relative to LDC's due to capital constraints in the latter. Also agricultural potential (i.e., land endowments) do not serve to differentiate nations on the basis of agricultural production. Investment in agriculture, including land improvement, is key to the determination of comparative advantage. La production agricole fait appelle de plus en plus a beaucoup de re-cherches et de capitaux. Hayami et Ruttan, avec d'autres, ont developpe et appliqué l'approche fonctionnelle métaproduction pour examiner ce phénomena à l‘échelle du monde. Les limitations de cette approache provienneent de la forme fonctionnelle restrictive choisie pour l'estimation, et de la spécification restrictive de capitaux et terres agricoles. Cette étude traite ces difficultés en utilisant la formule “translog’ fonctionnelle adaptable pour l'estimation et en spécificant un indice du capital agricole global et une mesure de terre qui incorpore les différences du qualité des terres agricoles (ressources agricoles naturelles). Tous les résultats estimatifs indiquent que l'avantage comparatif agricole de production s'incline vers les pays développés parraport aux PMD dû aux constraintes de capitaux dans ces derniers. Aussi la capacité agricole (c'est à dire la richesse des sols) ne sert pas à différencier les nations sur le plan de production agricole. L'investissement dans l'agriculte, notamment l'amélioration de terre, est la cief pour déterminer l'avantage comparatif.     

Bibliometric analysis of the Journal of Consumer Studies and Home Economics, 1977–1983

Two questions formed the structure for examining the formal communication among researchers using the Journal of Consumer Studies and Home Economics (JCSHE) The first question pertained to the interrelationship between the literature published and cited in JCSHE. The second asked what impact the literature published in JCSHE had on authors publishing in other journals. By performing Bradford analysis using the 1,160 journal references cited by authors of 210 articles in the first seven volumes of JCSHE, 26 core journals were identified. JCSHE was ranked second because it was cited 54 times in 37 articles by 29 authors. Through citation analysis 17 citing articles published in 12 journals other than JCSHE were found. Seven of these 17 citing articles were published in other home economics journals.     

Real Estate Valuation Models: Lender and Equity Investor Criteria

The use of valuation models that focus on lender criteria has been growing in the appraisal field. In the rush to build lender criteria into real estate valuation models, equity investor criteria, expectations, and requirements occasionally have been ignored. The specific criteria considered in this paper are the loan-to-value ratio and the debt coverage ratio for lenders and the equity dividend rate for equity investors. Each of these three criteria may be a binding constraint on value.
Graphical analysis provides a framework within which major real estate valuation models (i.e., Ellwood, McLaughlin, Gettel, Lusht-Zerbst, and Steele) are compared. A new valuation model (i.e., the Cannaday-Colwell model) is developed which utilizes the equity dividend rate.
The three definitional models (i.e., McLaughlin, Gettel, and Steele) are found to be relevant only by mere coincidence. Each of these models simultaneously considers two of the three key criteria, completely eliminating the possibility of consideration of anything else; i.e., the models become tautological.
It is shown that the discounted cash flow based models (i.e., Ellwood, Lusht-Zerbst, and Cannaday-Colwell) each tell one-third of the story. One of these models will be relevant depending upon whether the binding constraint is the maximum loan-to-value ratio, the minimum debt coverage ratio, or the minimum equity dividend rate. The relevant model is the one that yields the lowest value estimate of the three.     

Manipulating uncertainty

Uncertainty about the distributional incidence of policy reforms may, if it impinges selectively on particular subsets of voters, alter the direction of the majority vote. This possibility should be a matter of special concern when subject to potential manipulation by a purposeful agent such as a Leviathan-like bureaucracy. This paper discusses a constitutional defense against such prospect. This paper was prepared for a conference on “Constitutional Status Quo and Prospects for Change” held at George Mason University in April, 1994. I am grateful to participants in that conference and to my colleagues at Nova, especially to Mário Páscoa, for their comments and criticisms. I also benefited from comments of an anonymous referee. Responsibility for errors remains with me.     

EARNINGS EXPECTATIONS, FIRM SIZE, AND THE INFORMATIVENESS OF STOCK PRICES

The notion that prices impound a wide array of information, including market expectations, has led to earnings forecast models conditioned on prices. Yet, presumably, analysts' forecasts capture both public information and certain private information not previously impounded in prices. Accordingly, price-based models are seemingly an inefficient, and less effective, source of expecta-tions. This article investigates this hypothesis using financial analysts', price-based, and naive forecasts. Results indicate that analysts' forecasts (1) are at least as accurate as price-based and naive models, and (2) yield better expectations for market tests relating returns and earnings. These inferences are robust across different information environments. The evidence suggests that analysts either possess private information or are more effective information processors, or both.