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Few countries have sufficiently long and detailed returns data for real estate to permit sophisticated analysis. This paper aims to examine the potential diversification of private real estate investments using returns data for major regional centres in Ireland and the UK.

Optimal real estate‐only portfolios are constructed using total returns, income returns and appreciation returns for office and retail real estate in ten cities within Ireland and the UK. The analysis uses IPD data for the period 1984 to 2002. Total return, income return and appreciation returns are treated as separate asset streams in the modelling of portfolios.

The results show different risk levels; in particular the income stream carries low risk, whereas the capital appreciation element is much more volatile and risky. Optimal portfolios, office or retail, whether income, appreciation or total returns, indicate that provincial markets perform well and are capable of pushing London out of the optimised portfolios.

Limitations stem from the optimal portfolios being based on return series without a consideration of market depth. Future research will seek to construct weighted portfolios.

The paper constructs optimal portfolios for three scenarios: low return; medium return; and high return across sectors, return streams and major regional centres in Ireland and the UK. The results show that regional centres perform well and can exclude London real estate from optimal portfolios.

Examines the application of taxation breaks in stimulating investment into property development. Examples are drawn from Dublin and Berlin to highlight how accelerated depreciation allowances have been utilized in different market sectors. Emphasis is placed on similarities and differences in the regulations regarding use of taxation‐based incentives. Outcomes of the policy are evaluated including the risk of over‐supply of office floorspace in the medium term and the re‐targeting of incentives towards residential development. Argues that the experience drawn from each city provides interesting parallel and contrasting outcomes.

The purpose of this paper is to integrate land use and option pricing theories using case study analyses to compare a portfolio of uses comprising single and mixed‐use development on the same site and assess the effects on the risk‐return profile of potential development schemes. The integration of land use development based on highest and best use (HBU) is tested against a combination of uses on the selected sites at a point in time in the downswing of the real estate cycle.

The proposed methodology integrates the development valuation approach with option theory in which both consider the relationships of cost and value associated with alternative development options. The approach used in this paper addresses the broader consideration of project coordination inclusive of land use flexibility and opportunity costs endogenously associated with development strategies. By investigating the uncertainty of economic options specific to the development process, the methodology considers the significance of complementary components of strategic decisions and entrepreneurial effort within a return/risk management strategy.

The stochastic model when compared to the real option model enhances strategic decisions and development project management by allowing the consideration of single/mixed‐use alternatives. The development process is facilitated by the research findings whereby alternative uses are tested to maximise the potential use of the site. The analyses consider optimal funding strategies in developing and investing for a range of use options on regeneration sites.

The significant insights apparent from the research is the quantification of the strategic specification of development as a productive process and an investment endeavour. The proposed model enables a comparison of a HBU based on a single development, a mixed‐use development or a combination of uses as the difference between the scenarios impacts on land value and profit measures, especially where these measures are calculated as distributive residuals.

The stochastic model developed in this paper provides a value‐added contribution to real estate literature by considering the complexity of the interrelationships between urban land economics, land use theory, valuation appraisal methodologies, portfolio analysis and option pricing as applied in the development of regeneration schemes.

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).

Aarhus Kommunes Biblioteker (Teknisk Bibliotek), Ingerslevs Plads 7, Aarhus, Denmark. Representative: V. NEDERGAARD PEDERSEN (Librarian).

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