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Eric Broekaert passed away shortly after the XVIth European Working group on Drug-Oriented Research (EWODOR)-conference in Rome on 28 September 2016. He was one of the great TC pioneers in Europe, who founded the first TC for addictions in Belgium (De Kiem) and co-founded the European Federation of Therapeutic Communities and EWODOR. He was a respected Professor of “Orthopedagogics” at Ghent University and a Member of the Editorial Collective of Therapeutic Communities: the International Journal of Therapeutic Communities. The paper aims to discuss the overview of the career of Eric Broekaert.

In this obituary, the authors provide an overview of his career, major achievements and theoretical, methodological and integrative ideas, clustered around four typologies: university professor and scholar; manager and source of inspiration; TC pioneer and believer, and integrative thinker.

Besides his obvious merits as a TC researcher and advocate, one of his major theoretical contributions has been the introduction of the holistic, integrative approach and the idea that diverse types of interventions, as well as methodological approaches can alternatively go together.

He regarded TCs as the ultimate integration of various educational and therapeutic approaches to promote growth and quality of life among severely disadvantaged populations, such as drug addicts and children and adults with emotional and behavioural disorders.

This paper is part II of an overview of the work of the Pattern and Image Processing group of the Leuven University, presenting some of the industrial applications.

The Pattern Recognition and Image Processing group of the Leuven University is engaged in medical as well as in industrial projects. This paper is Part I of an overview of some of the industrial applications.

Recognition of plane objects can be achieved by calculating the area and first and second moments of the object. In the work described a hardwired videoprocessor linked to a 16‐bit microprocessor enables the recognition to be achieved within 30 milliseconds.

The purpose of this paper is to study LEGO sets as a potential alternative asset class. An exhaustive sample of 10,588 sets is used to generate inferences regarding long-term LEGO performance, its diversification benefits and return determinants.

LEGO set performance is studied in terms of equal- and value-weighted portfolios, sorts based on set characteristics and cross-sectional regressions.

Over 1966–2018, LEGO value-weighted index accounted for survivorship bias enjoys 1.20% inflation-adjusted return per annum, well below 5.54% for equities. However, the defensive properties of LEGO are considerable, as including 5%–25% of LEGO in a diversified portfolio is beneficial for investors with varying levels of risk aversion. LEGO secondary market is relatively internationalised, with investors from larger economies, countries with higher per capita incomes and less income inequality are shown to trade LEGO more actively.

LEGO investors derive non-pecuniary utility that is separable from their risk-return profile. LEGO is not exposed to any of the Fama-French factors, however, set-specific size and value effects are also well-pronounced on the LEGO market, with smaller sets and sets with lower price-to-piece ratio exhibiting higher yields. Older sets are also enjoying higher returns, demonstrating a liquidity effect.

This is the first study to investigate the investment properties of LEGO as an alternative asset class from micro- and macro-financial perspectives that overcomes many survivorship bias limitations prevalent in earlier research. LEGO trading is shown to be an important source of valuable data to enable original robustness checks for prominent theoretical concepts from asset pricing and behavioural finance literature.

One important characteristic of cryptocurrencies has been their high and erratic volatility. To represent this complicated behavior, recent studies have emphasized the use of autoregressive models frequently concluding that generalized autoregressive conditional heteroskedasticity (GARCH) models are the most adequate to overcome the limitations of conventional standard deviation estimates. Some studies have expanded this approach including jumps into the modeling. Following this line of research, and extending previous research, our study analyzes the volatility of Bitcoin employing and comparing some symmetric and asymmetric GARCH model extensions (threshold ARCH (TARCH), exponential GARCH (EGARCH), asymmetric power ARCH (APARCH), component GARCH (CGARCH), and asymmetric component GARCH (ACGARCH)), under two distributions (normal and generalized error). Additionally, because linear GARCH models can produce biased results if the series exhibit structural changes, once the conditional volatility has been modeled, we identify the best fitting GARCH model applying a Markov switching model to test whether Bitcoin volatility evolves according to two different regimes: high volatility and low volatility. The period of study includes daily series from July 16, 2010 (the earliest date available) to January 24, 2019. Findings reveal that EGARCH model under generalized error distribution provides the best fit to model Bitcoin conditional volatility. According to the Markov switching autoregressive (MS-AR) Bitcoin’s conditional volatility displays two regimes: high volatility and low volatility.

The purpose of this paper is to study the knowledge‐sharing patterns of undergraduate students in public and private universities.

A questionnaire survey was conducted on students of both the types of universities in Malaysia. Data were analyzed using SPSS.

Seven important areas have been the focus of this study: the general attitude towards knowledge sharing; preferred sources for study‐related tasks; perceived frequency of knowledge sharing for study‐related tasks; types of information and knowledge shared; preferred channels for knowledge sharing; factors limiting knowledge sharing; and knowledge sharing motivators. The data collected from 423 undergraduate students suggest that there are differences between the students in the public and private universities when it comes to knowledge sharing patterns.

The paper serves more as a descriptive study on the knowledge sharing patterns rather than a correlational study to find the relationship among variables.

The findings suggest that group activities should be structured in all curricula in order to encourage sharing among students. Academics are expected to play an important role to encourage their students to share by means of putting emphasis on collaborative learning to reduce competition among students. The management of universities can promote knowledge sharing by understanding the barriers and motivators of knowledge sharing.

The paper is among the first to compare the knowledge sharing patterns among private and public undergraduate students in Malaysia.

The purpose of this study is to explore knowledge management (KM) initiatives for achieving sustainable development goal (SDG) 4.7 and to investigate enablers and barriers to insert KM to prepare higher education institutions (HEIs) ready to contribute to SDGs’ performance. At the end, this paper provides a practical perspective of KM initiatives for higher education for sustainable development (HESD).

This is an exploratory study. It applies a descriptive-interpretative-qualitative approach. The analysis is based on the opinions collected from 170 HEIs’ stakeholders. Discussions among participants have been organized through zoom meetings, telephone interviews and focus group discussions in three phases. In the first phase, a total of 113 informants took part in the discussion on various dates. In the second phase, 10 interviews were conducted with university officials using three open-ended questions; and in the third phase, three focus group discussions were organized to interact about the effectiveness of the Masters in Business Administration in Global Leadership and Management programme and curriculum with teachers, students and the programme initiators.

From the analysis of stakeholders’ views, it appears that Nepalese HEIs have yet to move forward with integrating KM activities into their aims, structure and functions to address the government’s policy guidelines applicable to maximizing SDG’ performance. A KM cultural framework that values intellectual capital is urgently needed to fill the knowledge-doing gap for the benefit of society. HEIs appear to require multidisciplinary teaching, learning and research methods to play a civic role in society. They have to improve their rules and regulation, develop a boundary-spanning structure from a conventional structure and apply KM initiatives to support achieving SDGs’ performance. Understanding and inculcating these initiatives in the academic programmes could provide a value-adding higher education in the country.

This paper is entirely based on the perspectives of stakeholders in higher education. So, understanding their points of view and perspectives may have resulted in vague explanations. Furthermore, because the setting of Nepal’s HEIs differs from that of developed countries, the results should only be interpreted in Nepalese contexts.

This paper acknowledges the gaps and complexities in Nepalese HEIs from the standpoints of HEIs’ leaders, teachers and students for the application of KM initiatives to reform HEIs, with HESD in consideration, and enhance SDGs’ performance.

To the best of the authors’ knowledge, the paper is the first of its kind in the context of Nepal, exploring KM initiatives for SDGs. It provides a new perspective on KM and comprehends KM initiatives in the case of Nepalese HEIs transformation into HESD for achieving SDG 4.7.

The aim of this inquiry is to uncover the pattern of knowledge-sharing behaviour among the undergraduate and postgraduate students of private universities in Bangladesh.

This inquiry studied the knowledge-sharing pattern of undergraduate and graduate students by utilising a questionnaire-based open-ended survey from several private universities in Dhaka, Bangladesh. Apart from the descriptive statistics, the research used t-test to further explain the data.

This research focussed on seven areas of knowledge-sharing pattern. The data collected from 350 respondents from different private universities suggest that there are significant differences in the knowledge-sharing pattern between undergraduate and graduate students. Overall, this research documents that the postgraduate students have shown higher perceived attitudes towards knowledge sharing, compared to undergraduate students.

This research applied a descriptive study to understand knowledge-sharing patterns among undergraduate and postgraduate students, rather than a correlational study to ascertain the relationship among variables.

This research has contributed to the knowledge-sharing research in several aspects. In fact, this study extended the research findings of Wei et al. (2012) by examining the patterns of knowledge sharing in a different socioeconomic environment. Although this research investigated the practice of knowledge sharing of undergraduate and postgraduate students by adapting the instrument of Wei et al. (2012), one of the significant contributions of this research is to explore the behavioural aspects of knowledge-sharing pattern among undergraduate and postgraduate students from different private universities in Bangladesh. By interpreting the knowledge-sharing pattern of undergraduate and postgraduate students of private universities, this inquiry will assist the government’s policymakers, management of individual universities and academicians to come up with novel methods of instruction and to transform the knowledge-driven higher learning establishment.

The majority of studies on knowledge sharing have been conducted in an organisational context. This inquiry is one of few investigations to compare the knowledge-sharing patterns among undergraduate and postgraduate students in Bangladesh.

This paper aims to present a general framework for fostering research collaboration and knowledge flow between university and industry in Thailand.

With the aim of comprehending complex interactions of the university‐industry (U‐I) linkage, the adopted research methodology for collecting data is based on a combination of various approaches, such as qualitative methods encompassing in‐depth interviews, researcher participations and various documents analysis.

A framework (Government, University, Industry and Networks: G‐U‐I‐N) was developed encompassing the main factors that could make U‐I relationships more successful in Thailand. Knowledge management is an important enabler of this framework.

This paper presents the various elements (enablers) necessary for an emerging country, such as Thailand, to establish or strengthen successful collaboration and research projects between universities and industries in order to remain competitive.