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The main goal of the research is the investigation of quality management (QM) practices in the West Balkan countries and their advancement according to the models in developed countries presented in this paper. For the purpose of this investigation the model for the assessment of QM practice was developed.

The improvement of QM in industrially developed countries is essentially based on the application of business excellence models. Different business excellence models respect specific features of environments in which they have been developed and in fact represent QM paradigms based on total quality management (TQM). The implementation of these models in transitional economies or in economies with lower level of development where quality management paradigm is based on inspection, quality control (QC) or quality assurance (QA) does not provide the most suitable information for improvement, i.e. process re‐design for QM.

The paper reviews a developed model for assessment of QM maturity built on evolutionary development of QM paradigm through inspection, QC, QA and TQM. The identification of individual evolutionary phases through improvement paradigms such as: SDCA – product, SDCA – manufacturing processes, SDCA – supporting processes, PDCA – product and process thus creating precondition for the assessment of effectiveness of applied paradigm, as well as for diagnostics in cases of non‐effectiveness, i.e. failure in QM development. The change of management paradigms is not evolutionary in character, but actually represents a breakthrough approach.

The above investigation was carried out on the sample of 59 certified organizations amounting to about 5 percent of the total number of QMS certificates issued in Macedonia, Serbia and Montenegro and Bosnia and Herzegovina. All assessed organizations of different size (SME or bigger) belonged to the manufacturing sector.

The transition process of the West Balkan countries to the EU require the harmonization of QM practice issues as well. This investigation is a contribution to the development of good QM practice in the organizations from these countries.

The application of the model based on evolutionary management development enables the transfer of knowledge about process re‐design for QM and thus provides a sustainable development of QM in manufacturing systems with lower level of development.

This chapter presents findings from a study into reading interests and habits of prisoners in six Croatian penitentiaries, and their perception and use of prison libraries. The study was conducted with the help of self-administered print survey. A total of 30% of prison population (male and female) in selected prisons was included in the study and a total of 504 valid questionnaires were returned (response rate of 81.3%). Findings indicate that reading is the respondents’ most popular leisure activity and that they read more now than before coming to prison. Respondents read more fiction than non-fiction. Most frequently they read crime novels, thrillers, and historical novels. To a lesser degree, they read religious literature, biographies, spiritual novels, social problem novels, self-help, war novels, science fiction, erotic novels, romances, spy novels and horrors. Respondents would like to read daily newspapers and magazines, and books about sport, health, travel, computers, hobbies, cookbooks, etc. Respondents have wide reading interests (both in relation to fiction and non-fiction) but they do not have access to them in their prison library. Respondents reported that reading makes their life in prison easier and their time in prison passes faster with books. Only about a quarter of respondents are satisfied with their prison library collection. Almost a fifth of respondents does not visit the library at all because it does not have anything they would like to find there: newspapers, modern literature, non-fiction, reading material for visually impaired and computers.

The current article presents the results of a case study dealing with the historical roots of Eastern European researchers in computer science.

The study is based on an analysis of cited references stemming from a collection of around 80,000 computer science papers by Eastern European researchers published from 1989 to 2014. By using a method called “reference publication year spectroscopy” (RPYS) for historical analyses based on bibliometric data, we analyze around 800,000 references cited in those papers. The study identifies the peak years, including most frequently cited publications (from 1952, 1965 and 1975), and focuses on these outstanding works for the field. The research shows how these influential papers were cited in Eastern Europe and in general, and on which scientific fields they have the most impact.

A noteworthy publication that seems to have a tremendous effect on Eastern European computer science is Zadeh's “Fuzzy sets” article which appeared in Information and Control in 1965. The study demonstrates that computer scientists from Eastern Europe are more conservative in their citation behaviour and tend to refer to older and more established research than their counterparts from the West.

Which are the historical roots of researchers working in a particular field or on a specific topic? Are there certain publications – landmark papers – which are important for their research? We guess that these are questions bothering researchers in many fields.

The purpose of this research is to enable dynamic customization of metadata that describes educational resources in digital repositories.

Users need to describe educational resources in digital repositories according to a user-specific metadata set. As users generally do not have the skills to customize the software application manually, this approach relies on the techniques of model-driven software engineering, which should allow customization of the software application programmatically with no need to develop or order a new software application. An experiment was conducted to evaluate the proposed solution.

A software platform for managing educational resources described by dynamically extendable metadata is proposed. The platform enables the creation of data models that are programmatically transformed to a Web application for the management of educational resources. In this way, users can create their own models of metadata that are relevant in a particular domain.

The solution has been verified by users with technical knowledge. The appropriateness of the model should still be explored for domain experts with little technical knowledge who desire to define new metadata in their domain.

The solution can be used for digital repositories that store diverse educational resources. Each resource could be described using metadata that relates to the domain the resource belongs to.

Digital repositories standardly describe educational resources using some general metadata, which are more focused on the physical characteristics of resources rather than their semantics. The proposed solution introduces custom domain-specific semantics into the description of the resources, which improves their retrieval.

The purpose of this paper is to identify the structure of local government environmental expenditures by purpose, term and economic type, as well as the sources of their financing.

Research and data analysis were carried out on the basis of relevant sources of data gathered from the publicly available decisions on annual statements of accounts for 2011, published on local governments’ internet pages.

The main domains of expenditures are pollution abatement, waste and wastewater management and protection of biodiversity. The most of expenditure relates to operating expenses, while only a few percent relates to long-term investments. The most of environmental protection expenditures are financed from the local government organization's (LGO) general budget.

In the field of environmental protection, the most significant direct responsibility lies with local governments. On the other hand, information on the structure of environmental protection income and expenditures at the local government level is very limited and highly defragmented. The study may represent a starting point for further research in this field.

The methodology and the results reported in this research could be used for exploring environmental policy of LGOs in other European countries.

Serbian Generation Z originates from South-east Europe. They are a part of a nation that has always been divided between the East and the West and has experienced a constant transition (economic, cultural and political) for the last couple of decades. In Serbia, Generation Z has been under the same influences as elsewhere in the world – globalisation, technology and rapid development of the Internet have greatly influenced it and it could be said that the influence has not ceased to exist. Nevertheless, apart from the aforementioned, the representatives of the Generation Z in Serbia have faced some additional challenges during their childhood, and this distinguishes them from all the other European representatives of this generation: family (still being the backbone of Serbian society), religion, wars and their collective memory of it, as well as economy-related turbulences. The research presented in this chapter was carried out with a goal to show the attitudes, opinions and characteristics of this generation. The chapter provides not only an insight into the mentioned phenomena but also some recommendations for parents, teachers, companies and politicians, as well as suggestions for future research.

The paper's aim is to mine and analyze opinion formation on the basis of consumer dialogs in online forums.

The study identifies opinions, communication relationships, and dialog acts of forum users using different text mining methods. Utilizing this data, social networks can be derived and analyzed to detect influential users and opinion tendencies. The approach is applied to sample online forums discussing the iPhone.

Combining text mining and social network analysis enables the study of opinion formation and yields encouraging results. Out of the four methods employed for text mining, support vector machines performed best.

The data set applied here is fairly small. More threads on different products will be considered in future work to improve validation.

The approach represents a valuable instrument for online market research. It enables companies to recognize opportunities and risks and to initiate appropriate marketing actions.

This work is one of the first studies that combine communication content, relationships and dialog acts for analyzing opinion formation.

To overcome the shortcomings of traditional industry classification systems such as the Standard Industrial Classification Standard Industrial Classification, North American Industry Classification System North American Industry Classification System, and Global Industry Classification Standard Global Industry Classification Standard, the authors explore industry classifications using machine learning methods as an application of interpretable artificial intelligence (AI).

The authors propose a text-based industry classification combined with a machine learning technique by extracting distinguishable features from business descriptions in financial reports. The proposed method can reduce the dimensions of word vectors to avoid the curse of dimensionality when measuring the similarities of firms.

Using the proposed method, the sample firms form clusters of distinctive industries, thus overcoming the limitations of existing classifications. The method also clarifies industry boundaries based on lower-dimensional information. The graphical closeness between industries can reflect the industry-level relationship as well as the closeness between individual firms.

The authors’ work contributes to the industry classification literature by empirically investigating the effectiveness of machine learning methods. The text mining method resolves issues concerning the timeliness of traditional industry classifications by capturing new information in annual reports. In addition, the authors’ approach can solve the computing concerns of high dimensionality.