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Understandings of house prices and their interrelationships have undoubtedly drawn a great amount of attention from various market participants. This study aims to investigate the monthly newly-built residential house price indices of seventy Chinese cities during a 10-year period spanning January 2011–December 2020 for understandings of issues related to their interdependence and synchronizations.

Analysis here is facilitated through network analysis together with topological and hierarchical characterizations of price comovements.

This study determines eight sectoral groups of cities whose house price indices are directly connected and the price synchronization within each group is higher than that at the national level, although each shows rather idiosyncratic patterns. Degrees of house price comovements are generally lower starting from 2018 at the national level and for the eight sectoral groups. Similarly, this study finds that the synchronization intensity associated with the house price index of each city generally switches to a lower level starting from early 2019.

Results here should be of use to policy design and analysis aiming at housing market evaluations and monitoring.

This paper aims to review the literature extensively by analysing recent work and providing a guide for models, data sets and research findings.

This paper reviews the literature extensively by analysing recent work and providing a guide for models, data sets and research findings within the context of capital market imperfections. The authors further break down the literature into closer-in-nature categories for reader’s convenience and comprehension. Finally, the authors address gaps in the existing literature and propose government policies that can tone down the potential effect of credit rationing on employment.

This paper provides a map of the literature so as to help future researchers in the relevant literature and give a short insight of what has been explored so far.

This paper is original and is the result of a thorough review of an extensive literature.

The use of technology in 4th industrial revolution is at its peak. Industries are trying to reduce the consumption of resources by effectively utilizing information and technology to connect different functioning agents of the manufacturing industry. Without digitization “Industry 4.0” will be a virtual reality. The present survey-based study explores the factual status of digital manufacturing in the Northern India.

After an extensive literature review, a questionnaire was designed to gather different viewpoints of Indian industrial practitioners. The first half contains questions related to north Indian demographic factors which may affect digitalization of India. The latter half includes the queries concerned with various operational factors (or drivers) driving the digital revolution without ignoring Indian constraints.

The focus of this survey was to understand the current level of digital revolution under the ongoing push by the Indian government focused upon digital movement. The analysis included non-parametric testing of the various demographic and functional factors impacting the digital echoes, specifically in Northern India. Findings such as technological upgradations were independent of type of industry, the turnover or the location. About 10 key operational factors were thoughtfully grouped into three major categories—internal Research and Development (R&D), the capability of the supply chain and the capacity to adapt to the market. These factors were then examined to understand how they contribute to digital manufacturing, utilizing an appropriate ordinal logistic regression. The resulting predictive analysis provides seldom-seen insights and valuable suggestions for the most effective deployment of digitalization in Indian industries.

The country-specific Industry 4.0 literature is quite limited. The survey mainly focuses on the National Capital Region. The number of demographic and functional factors can further be incorporated. Moreover, an addition of factors related to ecology, environment and society can make the study more insightful.

The present work provides valuable insights about the current status of digitization and expects to facilitate public or private policymakers to implement digital technologies in India with less efforts and the least resistance. It empowers India towards Industry 4.0 based tools and techniques and creates new socio-economic dimensions for the sustainable development.

The quantitative nature of the study and its statistical predictions (data-based) are novel. The clubbing of similar success factors to avoid inter-collinearity and complexity is seldom seen. The predictive analytics provided in this study is quite elusive as it provides directions with logic. It will help the Indian Government and industrial strategists to plan and perform their interventions accordingly.

The aim of this study is to examine the agency problems that arise between retail property owners and outsourced facility management (FM) service vendors in Ghana.

This study was carried out using telephone and face-to-face interviews. Nine facility managers (n =9) and six retail property owners (n = 6) purposively selected participated in the interviews. The responses from the interviews were analysed using content analysis. To begin with the analysis, the recorded audio for each respondent during the interviews was transcribed to augment what was written during the interviews. The next step was the development of a coding framework where each of the agency problems was assigned unique codes and grouped under themes. Each response was assigned a predefined code based on the agency problems identified in the literature. The research team discussed the consistency of the thematic codes assigned to each of the responses to ensure that each response was captured under the appropriate agency problem theme it best represents.

The results showed that agency problems in FM outsourcing in the Ghanaian retail sector are related to disagreement on expenditure associated with maintenance and repairs and improper tenant information sharing and use by FM service providers. Based on the findings, it is recommended that property owners explore the mixed approach to FM to mitigate the risks of complete outsourcing of FM services. It is also recommended that a clear path on how tenant information can be shared be pre-agreed in FM contracts.

This study provides new literature relating to agency problems in outsourcing and may be the first of its kind for FM in the Ghanaian retail industry. The findings could serve as a starting point for service providers and their principals to find common grounds to understand each other and mitigate the agency problems that could arise and their overall impact on performance.

This chapter elaborates on the main factors of the adverse macroeconomic development in Czechia and Europe. Currently, i.e. from 2022, Czechia mainly suffers from double-digit galloping inflation and GDP stagnation. The aim of this chapter is to identify and describe the influence of the main factors from the present and the more distant past on current inflation and approaching stagflation in Czechia. This chapter analyzes an unfavourable mix of demand and supply factors that leave the new banking board of the CNB facing a dilemma, that is, whether to pursue a disinflationary policy of increasing interest rates and thus push the Czech economy closer into recession or to rely on demand-driven economic growth, which will keep unemployment at a low level, but at the same time contribute to inflationary pressures. The new governor of the CNB completely changed the strategy of his predecessor and, despite strong criticism, did not raise interest rates even once. Based on the analysis of inflationary factors, this chapter tries to explain the motives for the Central Bank's new strategy in the fight against inflation, which is the systematic appreciation of the Czech koruna.

In light of the stimulus-organism-response (SOR) theoretical paradigm, this paper explores how information relevance and media richness affect social network exhaustion and, moreover, how social network exhaustion ultimately leads to health anxiety and COVID-19-related stress.

The conceptual model is explicitly analyzed and estimated by using data from 309 individuals of different ages in mainland China. Confirmatory factor analysis (CFA) and structural equation modeling (SEM) were utilized to validate the proposed hypotheses through the use of online data.

The findings suggest that information relevance is negatively associated with social network exhaustion. In addition, social network exhaustion is a significant predictor of health anxiety and stress. Furthermore, information relevance and media richness can indirectly influence health anxiety and stress through the mediating effect of social network exhaustion.

Theoretically, this paper verifies the causes and consequences of social network exhaustion during COVID-19, thus making a significant contribution to the theoretical construction and refinement of this emerging research area. Practically, the conceptual research model in this paper may provide inspiration for more investigators and scholars who are inclined to further explore the different dimensions of social network exhaustion by utilizing other variables.

Although social network exhaustion and its adverse consequences have become prevalent, relatively few empirical studies have addressed the deleterious effects of social network exhaustion on mobile social media users’ psychosocial well-being and mental health during the prolonged COVID-19. These findings have important theoretical and practical implications for the rational development and construction of mobile social technologies to cultivate proper health awareness and mindset during the ongoing worldwide COVID-19 epidemic.

This study aims to fill this research gap by providing a comprehensive exploration of the transnationalization of higher education in China and Asia, with a particular focus on how institutions maintain quality assurance and how student learning experiences are reported.

The transnationalization of higher education involves educational programs and services provided by institutions or universities in a country other than their home country where students from diverse countries are trained. The goal of transnational education is to offer higher education to students who face obstacles in physically entering the host country of a transnational program, encourage globalization, enhance cross-cultural communication and improve the quality of education by expanding students' learning opportunities, providing diverse educational experiences and elevating academic standards. The transnationalization of higher education has become a crucial endeavor in Asia, especially in countries such as China, Malaysia and Singapore, where rapid economic development and globalization have prompted the need to evolve into knowledge-driven economies to meet the increasing demand for higher education. The factors driving the expansion of transnational higher education in China and Asia include the desire for top-quality education, the allure of international students, the establishment of worldwide collaborations and aspirations to be recognized as centers of academic distinction. The rapid expansion and increasing importance of transnational higher education has underscored the vital role of quality assurance. To guarantee educational quality, maintain institutional reputation and improve overall student outcomes, several agencies and frameworks have been established to uphold international standards.

Based upon extensive literature reveiw and case analysis, our findings indicated the quality assurance assessment varies and is primarily influenced by host countries and provider polices. However, students in transnational higher education programs report satisfaction with their experienes and the quality of their programs, which tends to meet their expecations.

This study presents the first comprehsensive literatrue rewiew and case analysis of how transnational higher education in China, Sinapore, Malaysia and Vietnam uphold quality assurance and report students learning experiences. Additionally, the findings highlight why future researceh on this topic is crucial and why forestering colloboration among countries in Asian regions is imporant in term of growing geo-politics.

The qualitative approach was applied the discover the optimum answers to the research objectives, which are (1) to understand the cultural and hedonistic characteristics of the (Lanna) Songkran festival; and (2) to examine the dilemma between cultural rituals and hedonistic activity for tourism.

This study used a case study of the Songkran festival in Chiang Mai to examine the dilemma between cultural rituals and hedonism for tourism, which brings lost or misperceived cultural values and identities. The semi-structured interview (SSI) with senior locals and participant observation during the festival was conducted in Chiang Mai, Thailand, to obtain the in-depth phenomena of the existing celebration pattern at the festival.

The study findings show three crucial phenomena that explain characteristics of unsynchronized cultural rituals and hedonistic activities for tourism: (1) the parallel phenomenon between cultural values and celebration practice, (2) the movement of local culture and(3) the hedonistic characteristics of the festival.

The study extends the knowledge on the interplay phenomena between cultural festivals and tourism; also, the involved stakeholders, such as local communities, public sectors and private sectors, can use the study findings in creating policies for using cultural festivals to promote a destination and urban economic development that will minimise cultural values distort while increase tourism economic values.

This study was conducted qualitatively, including SSIs and participant observation at the Songkran festival in Chiang Mai. The study findings were analysed, based on the empirical data, into significant themes representing the characteristics of dilemma phenomena within the festival.

Developments regarding the use of artificial intelligence (AI) in transportation systems, one of the important stakeholders of tourism, are remarkable. However, no review thus far has provided a comprehensive overview of research on AI in transportation systems.

To fill this gap, this study uses the VOSviewer software to present a bibliometric review of the current scientific literature in the field of AI-related tourism research. The theme of AI in transportation systems was explored in the Web of Science database.

The original search yielded 642 documents, which were then filtered by parameters. For publications related to AI in transportation systems, the most cited documents, leading authors, productive countries, co-occurrence analysis of keywords and bibliographic matching of documents were examined. This report shows that there has been a recent increase in research on AI in transport systems. However, there is only one study on tourism. The country that contributed the most is China with 298 studies. The most used keyword in the documents was intelligent transportation system.

The bibliometric analysis of the existing work provided a valuable and seminal reference for researchers and practitioners in AI-related in transportation system.

The purpose of this paper is to discuss the legal barriers to termination of an insurance arrangement where there is suspicion of money laundering when paying insurance premiums.

Trials in court between insurance firm and outlaw biker gangs regarding insurance of their clubhouses.

Protection of insured seems more important than prevention of money laundering.

This is a case study that cannot be generalized.

Anti money laundering is difficult when competing with other considerations.

Accusations of money laundering is not sufficient to terminate an insurance contract. Rather, solid evidence is needed.

This is a real case of failing anti-money laundering efforts.