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Introduction Consider a hi‐fi loudspeaker manufacturing company acquired on the brink of insolvency by an American multinational. The new owners discover with growing concern that the product range is obsolete, that manufacturing facilities are totally inadequate and that there is a complete absence of any real management substance or structure. They decide on the need to relocate urgently so as to provide continuity of supply at the very high — a market about to shrink at a rate unprecedented in its history.

This paper sets out to develop disaster preparedness measurement methodology using a small test case of two communities. It is aimed at furthering discussion of the issues and complexities of developing measurement of preparedness indicators for application and utilization.

The study used a multi‐modal approach, utilizing several data sources, including: a survey of essential facility managers in the two communities; document data extracted from the two city's Comprehensive Plans, Budgets, and the Emergency Operation Plans; and key informant interviews. Data collected from these sources formed the basis of the model construction and testing.

The primary conclusion is that a preparedness measurement model, while inherently difficult to construct and execute, has the potential to assist in the comparison and evaluation of community preparedness. Further such development requires additional refinement, calibration, and applied testing.

In terms of future research, this type of effort is preliminary, and needs to be tested across a larger number of communities to gauge its accuracy, and would most benefit from the creation of consistent baseline scores for a larger cross‐section of communities. Baseline scores could be examined for disasters that affect multiple communities, and comparison and evaluations of the preparedness measures can be applied. Future research should calibrate the model using expert and community feedback.

Should a standardized measurement and indicator system be developed with wide application, there would be effects in the insurance, regulatory and management sectors.

The paper creates a measurement and indexing process for discussion and evaluation in the hazards research community.

It is typical of public real estate benchmarking reports to show only highly aggregated benchmarks based on buildings’ floor areas. They hardly provide disaggregated benchmarks for usage clusters. The aim of this study is to show the caveats from highly aggregated benchmarking without consideration of cluster-specific characteristics.

Based on the parameters of the German facility management association 812 standards, cleaning costs and costs for the surfaces of seven hospitals have been collected and allocated to specific room clusters. Using these basic data, a calculation and simulation conducted with the aim of simulating facilities that are comparable in the sum of costs yet feature varying sub-clusters as cost drivers. In particular, during this simulation, area ratios were varied randomly and the average cleaning costs per cluster were held constant for all hospitals. Therefore, the costs per square meter in the clusters of all simulated hospitals are identical and the full costs only depend on the area ratios.

The simulation shows that highly aggregated cleaning costs lead to large spans, and thus, to misinterpretations in the field of action. In the case, the aggregate benchmark ranges from 40.6 to 66.5 EUR/m², although, for all hospitals the same costs per square meter had been used. Thus, the bias results only from varying the share of area across the clusters. This finding is caused by a well-known statistical problem: the Simpson’s paradoxon, which currently receives little attention in real estate benchmarking.

The results show, that the regular benchmarking with high aggregated data, often used in practice, cannot be recommended. The author consider using a detailed benchmarking as meaningful and purposeful. To be able to make a detailed benchmarking, it is essential to identify and collect the influencing factors. Only if all important factors, in this case, the clusters will be regarded in the benchmarking, a reasonable benchmarking and useful interpretation can be given. Using a simple benchmarking to get a rough overview is refused steadfastly.

The study highlights that a comparison with public benchmarking reports (operation costs) must be taken with great caution. The author has quantified the bias from the aggregated benchmarking and have shown, that the Simpson’s paradox fully explains the consequences.

The following bibliography focuses mainly on programs which can run on IBM microcomputers and compatibles under the operating system PC DOS/MS DOS, and which can be used in online information and documentation work. They fall into the following categories:

This exposition explains how Elementary Theory works and how it has been developed over the last two-and-a-half decades. Both increased scope and heightened precision are covered.

Theoretic methodology is explained. Using that method formal models are constructed analogous to empirical events. Those models predict events, design experiments, and guide applications in the field.

There is a widely held belief in sociology that theory becomes more vague and imprecise as its scope broadens. Whereas broader generalizations are more vague than narrower ones, this exposition shows that abstract theory becomes more precise as its scope broadens.

Here implications and limitations are closely connected. Regarding implications, this exposition shows that scientific explanations and predictions are viable today in sociology but only when exact theory is employed. Regarding limitations, the theory and research included in this exposition make clear why the empiricist search for regularities that dominates sociological research is so very limited in its results.

This exposition demonstrates that theory is the method of all the sciences and in particular the science of sociology.

The purpose of this paper is to postulate that the technique of Importance-Performance Analysis (IPA) is currently underutilised in visitor management studies reported in the peer-reviewed marine wildlife tourism (MWT) research literature. Further, this paper provides insight into how IPA could inform future research and management of tourism experiences at marine wildlife destinations.

This paper synthesises learning gained from the natural area tourism and recreation literature that report the application of IPA in MWT and insights from a recent study at the Dolphin Discovery Centre in Bunbury, Western Australia.

Although currently underutilized in MWT research, IPA is a relatively straightforward, easy to interpret, and, if correctly applied, a powerful tool that managers and researchers can employ to investigate and enhance visitor satisfaction in the short-term and for longer-term sustainability of the industry through visitor-informed tourism management.

Having identified the opportunity to enhance visitor experiences, site management and target species welfare through increased IPA research, this review provides a plain language introduction to the application of IPA and direct access to comprehensible academic discourses and exemplars for the technique. Moreover, in light of increasing tourism demand, IPA can assist in determining management options for the future.

This chapter discusses how attachment theory, a theory that provides insight into the processes through which psychological and emotional bonds are developed in relationships, can be useful for understanding mentoring relationships. We develop a conceptual model emphasizing how attachment-related constructs and their relationships with mentors’ and protégés’ behaviors and emotions influence each phase of a mentoring relationship. Recognizing reciprocity in the mentoring process, the model also explains how the interpersonal dynamics of the mentor–protégé relationship influence the benefits gained by both partners. Propositions for future research on mentoring relationships are provided. We contend that examining mentoring through the lens of attachment theory can increase our understanding of the underlying factors or mechanisms that determine individuals’ involvement in mentoring relationships and differentiate successful from unsuccessful mentoring relationships. The research and practical implications are discussed.