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This study aims to examine the interrelationship between financial stability and economic growth with a comprehensive analysis.

The panel Granger causality testing approach is carried out to the panels of the Fragile Five (F5) and the Group of Seven (G7) countries for the period 1998–2020. To capture the different aspects of financial stability the authors use eight different indicators.

The findings reveal some important implications: the relationship between financial stability and economic growth is sensitive to the financial stability indicators for both the F5 and G7 countries. The stability indicators related to the credit market contain much more causality relationship with economic growth than the indicators related to the stock market. Z-score and provisions to nonperforming loans (NPLs) are among the two variables with the highest causality relationship with economic growth. The least number of causality link is found for the Regulatory Capital Ratio and Stock Price Volatility in F5 countries and Credit Ratio, NPLs and Stock Price Volatility in G7 countries. Economic growth affects financial stability through credit market stability indicators and mostly for the F5 countries. No causal relationship is found for any of the financial stability indicators of Canada, the UK and the USA from economic growth to financial stability.

Since the linkages between financial stability and economic growth may vary due to country/group specific differences, apart from the previous studies, the authors select two different groups of countries in terms of financial stability and economic size.

The 1997-98 financial crisis has had a profound effect on how East Asian economies the role of the IMF and its strategic interests relative to those of the United States in the international financial regime. It has prompted them to create a regional mechanism for financial and monetary cooperation, ranging from deeper policy dialogue and surveillance, to a system of financial cooperation, and common exchange rate arrangements. This paper analyses the economic and strategic motivations behind this and outlines recent developments in financial cooperation in East Asia to provide possible directions for the future.

A network of bilateral swap arrangements under the Chiang Mai Initiative(CMI) needs stronger policy dialogue and surveillance to develop into a regional financing facility, a sort of East Asian IMF. The facility plays a role as an regional lender of last resort, providing short-term funds to a member country facing a temporary liquidity shortage and for market intervention to stabilize foreign exchange rate. East Asian countries need to achieve regional exchange rate stability. In the long run, the region may develop a common currency arrangement, but it cannot be expected in the very near future because there is no convergence of macroeconomic conditions, economic structure and systems. A realistic approach would be for East Asian developing countries to adopt a currency basket system to minimize the impact of dollar/yen exchange rate volatility on their economies. Strong political will and a vision for regional integration will be required to introduce it.

This paper aims to “identify,” “analyse” and “categorise” the readiness factors of lean sustainability in health-care organisation using total interpretive structural modelling (TISM).

To obtain the data, a closed-ended questionnaire was used in addition to a scheduled interview. To identify how the factors interact, the TISM approach was used, and the matriced’ impacts croise’s multiplication applique’e a UN classement (MICMAC) analysis was used to rank and categorise the lean sustainability readiness factors.

This study identified ten lean sustainability readiness factors for health-care organisation. The identified factors are resources utilization practice (F1), management commitment and leadership (F2), operational flexibility (F3), workforce engagement and time commitment (F4), sustainability motivational factors (F5), awareness of lean and sustainable practice (F6), hospital design (F7), energy efficiency practices in hospitals (F8), responsible autonomy (F9) and new system adoptability training (F10). The key/driving factors are identified in this study are operational flexibility, sustainability motivational factors, management commitment and leadership, new system adoptability training.

The study focussed primarily on lean sustainability factors for the health-care sector.

This research will aid key stakeholders and academics in the better understanding the readiness factors that influence lean sustainability in health-care organisation. This study emphasises the factors that must be considered when applying lean sustainable practices in health care as a real-world application in a health-care organisation. These readiness factors for lean sustainability can be used by an organization to comprehend more about the concept and the components that contribute to health-care lean sustainability.

This study proposes the TISM technique for health care, which is a novel attempt in the subject of lean sustainability in this sector.

The purpose of this paper is to investigate factors that influence effective workplace designs for knowledge workers.

During spring 2016, the employees in a large institution for research and higher education, a large consultancy company and a medium-sized consultancy company (in total 4367 employees) in Norway received invitations to participate in an anonymous online survey about workplaces and facilities. In all, 1,670 employees answered the survey (38.2 per cent response rate). The data have been analyzed with IBM SPSS version 23, among others through use of exploratory factor analysis and two-way ANOVA.

Most respondents at the institution for research and higher education have cell offices. Most respondents in the two consultancy companies have open and flexible offices. This paper indicate the respondents’ preferences or perception of their workstation and the workplace’s fit for their tasks is affected both by the respondents’ type of office and how much time they spend at their workstation during the week. There are also possible age or generation effects.

One methodical weakness in the present paper is that two-way ANOVA has been applied on survey data. Experiments are usually arranged to provide almost equal numbers of observations in each category. This is usually not possible with survey data. However, despite this weakness, the present paper provides several findings that challenge some of the workplace research’s taken for givens.

The present paper indicates that facility managers and others responsible for office and workplace design are advised to take the employees’ tasks and work patterns into consideration when designing workplaces and providing offices and workstations to their end-users. The present paper also indicates that employees require different kinds of support facilities and services depending on what kind of offices and workplaces they have.

This is a large N empirical study among knowledge workers in three organizations, one public administration and two private enterprises. The present paper indicate that provision of offices and workstations with supporting facilities should be differentiated according to the end-users’ work tasks and work patterns.

The purpose of this paper is to introduce a novel framework for visual-aided ontology-based multidimensional ranking and to demonstrate a case study in the academic domain.

The paper presents a method for adapting semantic web technologies on multiple criteria decision-making algorithms to endow to them dynamic characteristics. It also showcases the enhancement of the decision-making process by visual analytics.

The semantic enhanced ranking method enables the reproducibility and transparency of ranking results, while the visual representation of this information further benefits decision makers into making well-informed and insightful deductions about the problem.

This approach is suitable for application domains that are ranked on the basis of multiple criteria.

The discussed approach provides a dynamic ranking methodology, instead of focusing only on one application field, or one multiple criteria decision-making method. It proposes a framework that allows integration of multidimensional, domain-specific information and produces complex ranking results in both textual and visual form.

Presents an inductive machine learning algorithm called CLIP3 (Cover learning using integer programming). CLIP3 is an extension of the CLILP2 algorithm. CLIP3 generates multiple rules for a given concept from two sets of discrete attribute data. It combines the best concepts of tree‐based and rule‐based algorithms to produce a highly reliable machine‐learning algorithm. The algorithm is run on the benchmark “MONK′s data sets”. Compares the results of standard machine learning algorithms such as the ID and AQ families of algorithms. The algorithm is also run on the breast cancer data set and the results are compared with C4.5 algorithm results.

Novel technologies such as tokenization have the potential to disrupt value co-creation in sport marketing. Tokenization in particular has generated a hype in sport marketing by facilitating engagement behavior. However, it remains unclear to what extent tokenization can serve as an engagement platform to enable new and innovative interactions between sport organizations and its network of actors.

The study investigated a tokenized governance platform of a professional sport club as engagement platform by means of a case study applying a multi-method approach combining document analyses and semi-structured interviews with sport management, sport club fans and blockchain experts.

Governance tokens indeed foster fan engagement by including fans in decision-making processes. The engagement platform is meant to enable two-way communication between fans and professional sport clubs. However, benefits could be overrated, and fans describe concerns about increasing commercialization due to the application of governance tokens. Thus, opportunities must be balanced out to foster engagement of sport club fans.

The findings contribute to extending the phenomenon of tokenization as a financing model and engagement platform in sport marketing. The results show how tokenized governance platforms can be applied in sport marketing and how they contribute to value co-creation in the digital world of sport clubs.

The purpose of this paper is to know how do early-phase planning of real estate (RE) and facilities management (FM) create value for owners and users of commercial and public sector buildings.

The data were collected in Norway in 2015 through a national online survey (N = 837). The sample gives a good picture of Norwegian owners’ and even users on tactical-level (customer) perspectives on RE and FM. The data have been analysed through descriptive statistics and exploratory factor analysis. The hypotheses have been tested through analyses of correlations and ordinary least square (OLS) linear regressions.

Exploratory factor analysis made it possible to establish seven composite variables (constructs). Based on these seven constructs, six hypotheses were derived and tested. Obstacles and financials have no significant effect on buildings’ perceived usability. The most important factors during early-phase planning that influence buildings’ perceived usability and lifetime value creation are measures promoting environment and life-cycle costs (LCC), FM, adaptability and image.

Further empirical and preferably, comparative studies are needed to establish whether the findings can be generalized. The study has shown that a building’s usability and lifetime value creation is largely determined by decisions made during early phase planning.

Well-founded early-phase planning of RE and FM may actually provide very high return on the investments and significantly improve the buildings’ lifetime value creation for owners and users. Early-phase planning is also of great importance both for buildings’ physical design, as well as for successful FM during the buildings’ use phase, and may prevent irreversible blunders.

This is a large N empirical study in Norway. The findings indicate what owner and users of buildings should emphasize during early phase planning.

The purpose of this paper is to explore the influence of personal values on students’ learning behaviours. Hong Kong construction students are often criticized, by both practitioners and educators, as rote learners. To improve students’ learning processes, extensive research on a variety of aspects of construction education has been conducted. However, limited attention has been paid to the influence of personal values on students’ learning behaviours. The impact of personal value factors on the learning approaches of Chinese construction students in Hong Kong is investigated.

A questionnaire survey was conducted to ethically Chinese construction students in four universities in Hong Kong. A total of 820 questionnaires were distributed and 431 valid returns were collected.

The survey identified six influential values (namely, personal integrity, conservatism, determination, discipline, interpersonal relationships, and achievement), and shows that students who emphasize the virtues of personal integrity, determination, and a positive attitude toward achievement are better able to handle their interpersonal relationships, which will eventually lead them to engage in deep learning.

Work to develop appropriate value systems is thus recommended in freshmen courses, as is the use of cooperative learning approaches. Such value systems will have a long-term influence on the learning approaches of construction students.

This paper aims to explore the growth of the South African additive manufacturing (AM) industry over the past 31 years through the lens of the innovation system (IS) perspective, examining the actor dynamics and mechanisms that facilitated or hindered the industry’s development.

The study used a case study research approach, analysing semi-structured interviews with eight South African AM experts and documentary evidence. The IS framework and the realist evaluation perspective were used, using a context-intervention-mechanism-outcome (CIMO)-based event history analysis (EHA) framework to explore the actor dynamics and mechanisms of the case study.

The study used a case study research approach, analysing semi-structured interviews with eight South African AM experts and documentary evidence. The IS framework and the realist evaluation perspective were used, using a CIMO-based EHA framework to explore the actor dynamics and mechanisms of the case study.

This paper contributes to the South African AM industry literature by providing an overview of the industry events over the past three decades and analysing the industry through the IS framework. The study is among the first to analyse the development of the South African AM industry, presenting innovation scholars and managers with valuable decision-making support by providing insights into the innovation activities performed during each stage of the industry’s development, who performed them, the sequence in which they were performed and the outcomes they delivered.