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This chapter covers the significant developments in subject access embodied in the Functional Requirements (FR) family of models, particularly the Functional Requirements for Subject Authority Data (FRSAD) model.

A structured literature review was used to track the genesis of FRSAD. It builds on work by Pino Buizza and Mauro Guerrini who outlined a potential subject access model for FRBR. Tom Delsey, the author of Resource Description and Access (RDA), also examined the problem of adding subject access.

FRSAD seemed to generate little comment when it appeared in 2009, despite its subject model which departed from that in previous FR standards. FRSAD proposed a subject model based on “thema” and “nomen,” whereby the former, defined as “any entity used as the subject of a work,” was represented by the latter, defined as “any sign or sequence of signs.” It is suggested in this chapter that the linguistic classification theory underlying the PRECIS Indexing System might provide an alternative model for developing generic subject entities in FRSAD.

The FR family of models underpin RDA, the new cataloguing code intended to replace AACR2.Thus issues with FRSAD, which are still unresolved, continue to affect the new generation of cataloguing rules and their supporting models.

We study the spatial diffusion of stock backdating, an instance of corporate misconduct about which public information was virtually absent until 2005. Contrary to the findings of Bizjack, Lemmon, and Whitby (2009), our results reveal that this “invisible” practice did not diffuse through board interlocks. Rather, stock backdating spread through geographic proximity: firms were more likely to backdate stock options to the extent that other firms located geographically close to them had done so. Lending support to the importance of localized interactions among members of the local business elite, the effect of geographical proximity was conditional on high levels of local board interlocks. Our findings regarding the differential impact of geographic proximity and board interlocks on the diffusion of this invisible practice are analogous to the diffusion pattern of controversial practices proposed by Davis and Greve (1997).

Prior studies have shown that terminology support can improve health information retrieval but have not taken into account the characteristics of the user performing the search. In this chapter, the impact of translating queries’ terms between lay and medico-scientific terminology, in users with different levels of health literacy and topic familiarity, is evaluated. Findings demonstrate that medico-scientific queries demand more from the users and are mostly aimed at health professionals. In addition, these queries retrieve documents that are less readable and less well understood by users. Despite this, medico-scientific queries are associated with higher precision in the top-10 retrieved documents results and tend slightly to generate knowledge with less incorrect contents, the researchers concluded that search engines should provide query suggestions with medico-scientific terminology, whenever the user is able to digest it, that is, in users above the lowest levels of health literacy and topic familiarity. On the other hand, retrieval systems should provide lay alternative queries in users with inadequate health literacy or in those unfamiliar with a topic. In fact, the quantity of incorrect contents in the knowledge that emerges from a medico-scientific session tends to decrease with topic familiarity and health literacy. In terms of topic familiarity, the opposite happens with Graded Average Precision. Moreover, users most familiar with a topic tend to have higher motivational relevance with medico-scientific queries than with lay queries. This work is the first to consider user context features while studying the impact of a query processing technique in several aspects of the retrieval process, including the medical accuracy of the acquired knowledge.

Most decision-making problems in construction are complex and difficult to solve, as they involve multiple criteria and multiple decision makers in addition to subjective uncertainties, imprecisions and vagueness surrounding the decision-making process. In many instances, the decision-making process is based on linguistic terms rather than numerical values. Hence, structured fuzzy consensus-reaching processes and fuzzy aggregation methods are instrumental in multi-criteria group decision-making (MCGDM) problems for capturing the point of view of a group of experts. This chapter outlines different fuzzy consensus-reaching processes and fuzzy aggregation methods. It presents the background of the basic theory and formulation of these processes and methods, as well as numerical examples that illustrate their theory and formulation. Application areas of fuzzy consensus reaching and fuzzy aggregation in the construction domain are identified, and an overview of previously developed frameworks for fuzzy consensus reaching and fuzzy aggregation is provided. Finally, areas for future work are presented that highlight emerging trends and the imminent needs of fuzzy consensus reaching and fuzzy aggregation in the construction domain.

In this study, we analyze the general effect of acquirers’ ownership strategy on the survival in foreign acquisitions. Furthermore, we attempt to address five potential moderating effects: international, regional, target country experience, cultural distance, as well as host country development. The developed hypotheses are tested on a sample of 1,345 acquisitions made by 174 Finnish firms in 59 countries during 1980–2005. The results indicate that in general WOS increases the probability of survival of foreign acquired units. We further find that the impact of WOS on the survival of foreign acquired units is contingent upon cultural distance and host country development but not on the experience of buying firms.

This chapter reviews the methods available to hospitality and tourism researchers to perform moderation analysis with continuous variables in partial least squares structural equation modeling (PLS-SEM), with the objective of enhancing understanding and encouraging the use of these techniques in future papers. The product term method is presented first, followed by an empirical example/application in the context of hospitality and tourism. Two extensions, namely the two-stage approach that can help cope with formative and higher-order constructs, and the orthogonalizing approach that can help generate more accurate results and overcome multicollinearity among tourism variables in the presence of a continuous moderator variable, are then presented and discussed. The chapter concludes by presenting guidelines and recommendations for improving the use of interaction effects in analyses of tourism variables, as well as highlighting ongoing developments in both the product term method and PLS-SEM software.

Rather than add another review of the numerous scholarly publications of success factors and performance of International Joint Ventures (IJVs) this study offers an overview of the extant research based on the findings, criticisms and recommendations of previous reviews. Scholars and practitioners interested in the research field may profit from our contribution in several ways. First, we provide a comprehensive overview of the state-of-the-art of the field in a table listing the characteristics of the most relevant review studies published in leading management journals. These special reviews offer more detailed analyses of the studies under investigation, different frameworks and proposals for future research directions. Finally, we summarize the criticisms and recommendations of previous researchers that have been ignored and discuss why many of those recommendations have gone unheeded and how future research may benefit from more systematic development of this field.

While climatic conditions are believed to have some influence on triggering conflicts, the existing empirical results on the nature and statistical significance of their explanatory role are not conclusive. We construct a dataset for a sample of 139 countries which records the occurrence of an armed conflict, the annual average temperature and precipitation levels, as well as the relevant socioeconomic, demographic, and geographic measures over the 1961–2011 period. Using this dataset and controlling for the effect of relevant nonclimate variables, our comprehensive econometric analyses support the influencing role of climatic factors. Our results are robust and consistent with the hypothesis that climate warming is instrumental in raising the probability of onset of internal armed conflicts and suggests that, along with regulating population size and promoting political stability, controlling climate change is an effective factor for inducing peace by way of curtailing the onset of armed conflicts.

This chapter outlines a dynamic model of compositional strategic advantage for resource-poor firms where the attractiveness of the product offering in terms of scope and perceived value-to-price ratio identifies a number of elementary compositional strategies. A resource-poor firm can establish a compositional strategy composed of one or more of these elementary compositional strategies. It is argued that how the compositional strategic advantage is formed by three indispensable factors of aspiration (asymmetry between ambition and position), attitude (be “ALERT” to change), and action (use the asymmetry to create advantage). It is explained how the underlying theoretical rationales are particularly useful to understand the successful expansion of multinational Chinese firms and coinciding with basic cultural values.