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The purpose of this chapter is to characterize knowledge organization (KO) as a field that is affected by geographic and diachronic variations in such a way that the recognition of a slanted KO could be considered an ethical option in the KO theory and practice. KO can be considered a dynamic social product that reflects a construction that is altered in space and time. Slants are inherent to any organization of knowledge and are manifested in multiple dimensions. There is a need to find a balance between the respect for the local specificities and the necessity of global access to information. Conceptual and terminological time and space slants in KO are presented. Examples of possible day-by-day searches are analyzed in order to evidence the different cultures that are involved in the different social-linguistic characteristics. The recognition of time and space as operational axes for an ethical approach to a slanted KO is important because: (a) it tries to intervene in represented and possibly disseminated biases that are practiced so far; (b) it recognizes the coexistence of diverse groups and communities, with local characteristics, meanings, and idiosyncrasies, that will need to communicate with each other in global information systems of information; and (c) it can promote an intercultural ethics of mediation, culturally warranted, in order to avoid cultural damages and to guarantee that descriptions can reflect the past while keeping an eye in the future, based on KOS whose functionality remains over time.

We develop a 2×2×2 model of international trade in which one of the sectors is oligopolistic. The oligopolistic sector consists of a given number of a priori identical firms belonging to one of the two countries, but some deciding to locate in the other country so as to realize higher profits. If a firm locates in the foreign country, its technological capability is assumed to go down due to the alien environment. In this framework we examine the effect of the environment on the level of foreign direct investment and on factor prices in the two countries.

This article presents the results of a survey of 202 male Taiwanese consumers. In this study, consumer judgements of two technological products varying in their level of complexity made in highly, moderately, and newly industrialised countries were obtained in a multi‐attribute context. The results show that the country‐of‐origin image of moderately and newly industrialised countries was less negative for technologically simpler products (i.e. a television) than they were for technologically complex products (i.e. a computer). It appears that the negative image of moderately and newly industrialised countries can be attenuated by making Taiwanese consumers more familiar with products made in these countries and/or by providing them with other product‐related information such as brand name and warranty. Newly industrialised countries were perceived more negatively as countries of design than as countries of assembly, especially in the context of making technologically complex products. The image of foreign countries as producers of consumer goods was positively correlated with education. The more familiar consumers were with the products of a country, the more favourable was their evaluation of that country. Consumer involvement with purchasing a technologically complex product such as a computer was positively associated with the appreciation of products made in moderately industrialised countries. Managerial and research implications are derived from these results.

Addresses the standardization of the measurements and the labels for concepts commonly used in the study of work organizations. As a reference handbook and research tool, seeks to improve measurement in the study of work organizations and to facilitate the teaching of introductory courses in this subject. Focuses solely on work organizations, that is, social systems in which members work for money. Defines measurement and distinguishes four levels: nominal, ordinal, interval and ratio. Selects specific measures on the basis of quality, diversity, simplicity and availability and evaluates each measure for its validity and reliability. Employs a set of 38 concepts ‐ ranging from “absenteeism” to “turnover” as the handbook’s frame of reference. Concludes by reviewing organizational measurement over the past 30 years and recommending future measurement reseach.

Information systems (IS) outsourcing has been viewed as an attractive option by many senior managers generally because of the belief that IS outsourcing vendors can achieve economies of scale and specialization because their only business is information processing. The challenge of implementing, operating and maintaining enterprise resource planning (ERP) systems and the outsourcing service offered by ERP vendors have made ERP outsourcing an attractive option for some organizations. However, although IS outsourcing is now a major industry, the outsourcing of ERP applications is still in its infancy. This paper explores ERP outsourcing in terms of the application service provider (ASP) approach where a third‐party vendor hosts, manages and maintains various data and ERP applications on behalf of different clients. Critical to the management of the ERP outsourcing relationship is the outsourcing contract, which, if improperly or incompletely written, can have significant negative implications for the outsourcing firm. Contracts that encourage vendor performance and discourage under‐performance are therefore clearly of interest to managers. Although many articles have appeared on outsourcing, the issue of incentive contracts for ERP outsourcing has not been adequately addressed by researchers, partly because of the infancy of this area. In this paper, an approach to analyze incentive schemes and structuring ERP outsourcing contracts for the mutual gain of the parties is presented.

The purpose of this research is to conduct a literature review on the evolution, antecedents, and outcomes of luxury consumption (LC). To accomplish our goal, we used a combination of bibliometrics and systematic approaches to review 165 articles published between 1998 and 2019. The investigation revealed that the evolution of LC is mostly driven by consumer motivation and is influenced by cultural and psychological variables. Furthermore, we explored the aforementioned antecedents of LC along four major axes. Antecedents related to (1) individual characteristics, (2) brand components, (3) cultural and social values, and (4) organizational strategies. Furthermore, based on the outcomes of LC, we found two categories (individual traits and social values). The chapter concludes by proposing a broader research agenda for the future.

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

This paper aims to gather together the minimum units of users’ identity in the Bitcoin network (i.e. the individual Bitcoin addresses) and group them into representations of business entities, what we call “super clusters”. While these clusters can remain largely anonymous, the authors are able to ascribe many of them to particular business categories by analyzing some of their specific transaction patterns (TPs), as observed during the period from 2009 to 2015. The authors are then able to extract and create a map of the network of payment relationships among them, and analyze transaction behavior found in each business category. They conclude by identifying three marked regimes that have evolved as the Bitcoin economy has grown and matured: from an early prototype stage; to a second growth stage populated in large part with “sin” enterprise (i.e. gambling, black markets); to a third stage marked by a sharp progression away from “sin” and toward legitimate enterprises.

Data mining.

Four primary business categories are identified in the Bitcoin economy: miners, gambling services, black markets and exchanges. Common patterns of transaction behavior between the business categories and their users are a “one-day” holding period for bitcoin transactions is somewhat typical. That is, a one-day effect where traders, gamblers, black market participants and miners tend to cash out on a daily basis. There seems to be a strong preference to do business within the bitcoin economy in round lot amounts, whether it is more typical of traders exchanging for fiat money, gamblers placing bets or black market goods being bought and sold. Distinct patterns of transaction behavior among the business categories and their users are flows between traders and exchanges average just around 20 BTC, and traders buy or sell on average every 11 days. Meanwhile, gamblers wager just 0.5 BTC on average, but re-bet often within the same day. Three marked regimes have evolved, as the Bitcoin economy has grown and matured: from an early prototype stage, to a second growth stage populated in large part with “sin” enterprises (i.e. gambling, black markets), to a third stage marked by a sharp progression away from “sin” and toward legitimate enterprises. This evolution of the Bitcoin economy suggests a trend toward legitimate commerce.

The authors propose a new theoretical framework that allows investigating and exploring the network of payment relationships in the Bitcoin economy. This study starts by gathering together the minimum units of Bitcoin identities (the individual addresses), and it goes forward in grouping them into approximations of business entities, what is called “super clusters”, by using tested techniques from the literature. A super cluster can be thought of as an approximation of a business entity in that it describes a number of individual addresses that are owned or controlled collectively by the same beneficial owner for some special economic purposes. The majority of these important clusters are initially unknown and uncategorized. The novelty of this study is given by the pure user group and the TP analyses, by means of which the authors are able to ascribe the super clusters into specific business categories and outline a map of the network of payment relationships among them.

Although it is widely acknowledged that health care delivery systems are complex adaptive systems, there are gaps in understanding the application of systems engineering approaches to systems analysis and redesign in the health care domain. Commonly employed methods, such as statistical analysis of risk factors and outcomes, are simply not adequate to robustly characterize all system requirements and facilitate reliable design of complex care delivery systems. This is especially apparent in institutional-level systems, such as patient safety programs that must mitigate the risk of infections and other complications that can occur in virtually any setting providing direct and indirect patient care. The case example presented here illustrates the application of various system engineering methods to identify requirements and intervention candidates for a critical patient safety problem known as failure to rescue. Detailed descriptions of the analysis methods and their application are presented along with specific analysis artifacts related to the failure to rescue case study. Given the prevalence of complex systems in health care, this practical and effective approach provides an important example of how systems engineering methods can effectively address the shortcomings in current health care analysis and design, where complex systems are increasingly prevalent.