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The purpose of this offered research is to articulate a multifaceted kind of highly unstable initial perturbation and further analyze the performance of the plasma particles for time-fractional order evaluation.

For this purpose, the authors designed specific geometry and further interpreted it into the mathematical model using the concepts of the Vlasov Maxwell system. The suggested algorithm is based on the finite-difference and spectral estimation philosophy. The management of time and memory in generic code for computational purposes is also discussed.

The main purpose is to analyze the fractional behavior of plasma particles and also the capability of the suggested numerical algorithm. Due to initial perturbations, there are a lot of sudden variations that occurred in the formulated system. Graphical behavior shows that SR parameter produces devastation as compared to others. The variation of fractional parameter between the defend domain demonstrates the hidden pictures of plasma particles. The design scheme is efficient, convergent and has the capability to cover the better physics of the problem.

Plasma material is commonly used in different areas of science. Therefore, in this paper, the authors increase the capability of the mathematical plasma model with specific geometry, and further suitable numerical algorithm is suggested with detailed physical analysis of the outcomes. The authors gave a new direction to study the performance of plasma particles under the influence of LASER light.

In the recent era, science has produced a lot of advancements to study and analyze the physical natural process, which exist everywhere in the real word. On behalf of this current developments, it is now insufficient to study the first-order time evaluation of the plasma particles. One needs to be more precise and should move toward the bottomless state of it, that is, macroscopic and microscopic time-evaluation scales, and it is not wrong to say that there exits a huge gap, to study the time evaluation in this discussed manner. The presented study is entirely an advanced and efficient way to investigate the problem into the new directions. The capability of the proposed algorithm and model with fractional concepts can fascinate the reader to extend to the other dimensions.

This study examines the relationships between structural holes, guanxi and knowledge sharing among groups of stakeholders within a Chinese destination network.

This study conducted surveys, social network analysis and semi-structured interviews to gather data from the stakeholders of a popular Chinese tourist destination to test its hypotheses.

Knowledge sharing within the destination network was impeded by structural holes but facilitated by guanxi. Furthermore, the impeding effect of structural holes on knowledge sharing is alleviated by guanxi.

This study illustrates the ways that stakeholders exploit structural holes and guanxi to promote knowledge sharing, and thus offers novel insights into how destination network structures affect the efficacy of stakeholders when it comes to sharing knowledge and promoting their destination.

This paper reports the first part of a recent interview with Dr Bor-Shiuan Cheng on his values, beliefs or thoughts on how to lead a fulfilling life as a person and a researcher.

This paper is based on a recent interview with Dr Bor-Shiuan Cheng.

Life is a journey of discovering our purpose and fulfilling our own destiny. Once Dr Cheng decided his career direction after trying out different alternatives, he sticks to it and makes the best out of it. His choice of majoring in psychology became a basis for the contributions to Chinese management research.

Dr Cheng’s life and career paths showcased a successful scholar who keeps doing one thing in his life, being himself, being focused and persistent. His experience may inspire and encourage junior scholars for career development.

The interview presents the life and career paths of Dr Cheng, who has chosen to take a road less traveled and enjoyed different views along the road.

This paper explores the potential competitive advantages from the development of an internal network of subsidiaries and external network of alliances. Given the broad scope and lack of systematic investigation in prior research, clinical field research was conducted in eleven Japanese subsidiaries in China. Our in‐depth interviews revealed that there are benefits and costs associated with the development of both subsidiary networks and alliance networks. While there are exploitation and exploration benefits from subsidiary network development, internationalizing firms (especially smaller firms) are subject to the liability of foreignness. Alliance network development is an effective way to mitigate this liability if internationalizing firms choose the right alliance strategy.

The chapter attempts to evaluate the utility of applying multi-level governance outside of the EU, and also outside of the group of democratic states, to states that have defied the third wave of democratization and that are characterized by a so-called new authoritarianism. The case is the People’s Republic of China, and the focus falls on policy-making and implementation in the field of hydropower with special attention to the issue area of environmental protection.

The chapter draws on the notion of scales and indigenous Chinese governance concepts and brings these into a conversation with the concept of multi-level governance. Case studies on hydropower decision-making in China contribute empirical data in order to investigate the utility of multi-level governance in the Chinese governance context.

The chapter argues that if multi-level governance is to have utility in other cultural contexts it needs to move away from a consideration of pre-given scales as locus of authority and consider indigenous governance concepts and notions of scale, and it crucially needs to map power relationships in the making and implementation of policies in order to reach analytical depth.

The case of China shows that authoritarian regimes can be analysed in terms of multiple levels as authoritarianism no longer automatically implies strict top-down entities. Instead, autocracies can be highly fragmented and subject to complex decision-making processes that can arise during processes of administrative reform. This can lead to vibrant and reflexive systems of governance that exhibit adaptive skills necessary to ensure regime survival amidst a continuously diversifying society and changing external circumstances. As a consequence, a research programme looking at the new authoritarianism from a multi-level governance perspective has the capacity to uncover and describe new forms of governance, by bringing the concept into a conversation with indigenous governance concepts.

In China, informal networks between the energy bureaucracy and hydropower developers determine the hydropower decision-making process. This is particularly detrimental at a time when the Chinese government emphasizes the importance of the rule of law and social stability. Informal networks in which key government agencies are involved actively thwart the attempt of creating reliable institutions and more transparent and accountable processes of decision-making within the authoritarian governance framework.

The findings show the dominance of informal networks versus the formal decision-making process. This sidelines the environmental bureaucracy and fails to fully realize the importance of public input into the decision-making process as one potential element of institutionalized conflict resolution.

The chapter builds on existing multi-level governance approaches and fuses them with notions of scales and indigenous Chinese governance concepts in order to enable the applicability of the concept of multi-level governance outside of its area of origin. This advances the explanatory depth and theoretical reach of multi-level governance.

An accurate tourism forecast is critical to destination countries as a foundation for tourism-related decision making and efficient tourism planning. The purpose of this study is to evaluate how Taiwan's inbound tourism was affected by the September 21st Earthquake in 1999 and the Severe Acute Respiratory Syndrome (SARS) outbreak in 2003, one of the mega earthquakes in the 20th century and most catastrophic health hazard in the past hundred years in Taiwan, respectively. According to the empirical findings, Taiwan's inbound tourism was brutally devastated by the two calamities, particularly during the SARS outbreak. The inbound tourism was more heavily influenced by the SARS epidemic and recovered from the SARS shadow was greater compared with the recovery after the September 21st Earthquake.

The objective of this research is to assess whether two events, the 9‐21 Earthquake in 1999 and the Severe Acute Respiratory Syndrome outbreak in 2003, had a temporary or long‐term impact on the inbound tourism demand from Japan. Furthermore, a comparative study is conducted to assess whether intervention analysis produces better forecasts compared with forecasts without intervention analysis.

The data adopted in this study consist of monthly visitor arrivals from Japan to Taiwan for the period January 1979‐September 2006. The first 321 observations ( January 1979‐September 2005) are used to develop two tentative models, with and without intervention analyses, and then compare with the known values (October 2005‐September 2006) for accuracy testing.

Experimental results show that the effect of both disasters on Japanese inbound tourism presented only temporarily, and the forecasting efficiency of ARIMA with intervention is superior to that of a model without intervention.

The study had difficulty accurately delineating the rebound in Japanese tourist based on monthly data. There are other factors that might influence a rebound, such as people' fading memories or the purpose of visitation. The geographic proximity of Taiwan to Japan could also account for perceived risk factors.

The results indicate that the Japanese inbound arrivals sharply dropped following both of the two disastrous occurrences, suggesting that the Japanese tourists are likely to be responsive to prompt marketing strategies and messages. The practical implication for tourism operators include the usefulness of reinforcing the package holiday by establishing an attractively priced travel package or offering a package with a variety of highly desirable or unique features to increase competition.

This study is a first attempt in the tourism literature to model Japanese demand for travel to Taiwan after these two traumatic crises.

The main goal of this paper is to investigate whether there is long-memory behavior in the CBOE Brazil ETF volatility index (named here VIXBR). As structural breaks may create a spurious long-range dependence, the presence of structural breaks is also gauged.

The study considers the period from October 2011 to March 2021, using daily data. To test the long-memory behavior, three empirical approaches are adopted: GPH, ELW and robust GPH (RGPH) estimator. To estimate the structural break points adopted to date the subsamples, the ICSS algorithm is used.

Results considering the total period (TP) and subsamples show that the breaks did not create a spurious long-memory behavior and together with the rolling estimation, reveal strong evidence of the long-range dependence in the CBOE Brazil ETF volatility index. The higher degree of persistent of the VIXBR series suggests an extended period of increased uncertainty that agents need consider when making their investment decision.

As possible extension of this study is to investigate the behavior of long memory and structural breaks for different frequencies (weekly, monthly, among others).

The presence of long-range dependence in the CBOE Brazil ETF volatility index reveals that the past information is important for the predictability of risks, and therefore, can help to protect against market risks, which has important implications regarding the future decisions of economic agents (for example, policy makers and investors).

Brazil is an emerging capital market (ECM) that has attracted a great deal of attention from investors and investment funds seeking to diversify its assets. This paper contributes to the empirical financial literature, by studying the long-memory behavior of the CBOE Brazil ETF volatility index, considering possible structural breaks. To the best of knowledge, this has not been done so far.

The paper aims to reveal how the Chinese government has tried to regulate transnational cultural flows by applying cultural policies.

The paper compares the dissemination of different foreign television programmes in China since the 1980s. The documents of cultural policy released since 1990s, news reports and the statistics of imported dramas since 2000s will be analyzed.

The research finds that the Chinese government has treated cultural products from different countries in unequal ways. Political-diplomatic relationships and the need for ideological control, influence the making of cultural policy. Restricting the quota of imported dramas, censorship and propaganda are measures taken by the Chinese government to regulate transnational cultural flows.

The paper mainly focuses on platforms such as state-owned television stations and internet. The role of pay-cable channel in disseminating imported dramas should be taken into consideration in the future research.

The paper provides a systematic understanding on the development of Chinese cultural policy.

The paper offers an alternative approach to explore the policy-oriented dissemination of transnational cultural flows other than market-oriented dissemination.