Search results

Embedding dimension determination in phase space reconstruction is difficult. The purpose of this paper is to present a new approach for embedding dimension determination based on empirical mode, showing that embedding dimensions for phase space reconstruction could be easily determined according to the number of intrinsic mode functions decomposed by empirical mode decomposition.

Through the relation analysis of intrinsic mode functions and embedding dimensions, the approach for embedding dimension determination by the number of intrinsic mode functions is presented. First, a time series is decomposed into several intrinsic mode functions. Second, correlation analysis between intrinsic mode functions and original signals is investigated, and then false intrinsic mode functions could be eliminated by the analysis of correlation coefficient thresholds, which makes the embedding dimension precise. Finally, the method presented is applied to the Lorenz system, Chen's system, and the Duffing equation. Simulation results prove this method is feasible.

A new approach for embedding dimension determination based on empirical mode decomposition is presented. Compared with G‐P algorithms, this new method is effective and decreases computational complexity.

This method provides an effective qualitative criterion to the selection of embedding dimensions in phase space reconstruction.

This method could be used to determine embedding dimensions of phase space reconstruction and degree‐of‐freedom of nonlinear dynamical systems.

The paper proposes a new method of embedding dimension determination in phase space reconstruction.

The article aims to investigate the effects of ownership and capital structure on postacquisition operating performance.

The article extends the ongoing literature from an operating loss perspective and provides empirical evidence on the probability of acquirers’ operating loss in relation to ownership and capital structure. The operating performance of publicly listed manufacturing firms in China was tracked up to five years since the completion of the mergers and acquisitions (M&A) during 2003–2014.

The empirical results show that, in a five-year postacquisition period, state-owned enterprises (SOEs) are more likely to experience operating loss than non-SOEs. The likelihood of the operating loss is negatively associated with ownership concentration, implying that concentrated ownership may serve as an effective corporate governance mechanism in the emerging economy and improve postacquisition performance. The rise in leverage increases the likelihood of postacquisition operating loss, indicating that the costs of debt may outweigh the benefits.

The findings contribute to the literature on ownership, debt governance and post-M&A performance from an emerging economy perspective.

This study aims to analyse the role of the financial and accounting expertise of the chief executive officer (CEO) on financial reporting quality (FRQ) in an emerging economy.

This study is based on data collected from a large sample of all non-financial companies listed on Vietnamese stock exchanges during the period 2016–2020 with 2,435 observations. FEM-ROBUST standard errors regression model is used to examine the relationship between the financial, accounting expertise of CEOs and FRQ through earnings management by discretionary accruals.

The results show that CEOs with financial and accounting expertise have more influence and intervention on earnings management and thus adversely affect FRQ. This behaviour is explained by the fact that CEOs not only have a firm grasp of financial and accounting policies but also know the tricks to interfere with earnings management. Moreover, in the context of emerging economies, CEOs’ awareness and management level are still limited and legal sanctions are not yet strict, so when they have power in their hands, CEOs immediately find ways to build a reputation to enhance the power and earnings for the CEOs themselves.

The limitation of this study is first of all that the research data are not complete and rich because the companies are prohibited from disclosing information and the cooperation relationship is not close. Next is the new research in only one emerging market – Vietnam – so the generalizability is not high.

To the best of the authors’ knowledge, this is the first study to examine the impact of CEOs’ accounting and finance expertise on FRQ in an emerging economy, contributing to the existing literature regarding the scientific debates about CEOs, CEO characteristics, earnings management and FRQ.

This study investigates the individual and binary (i.e. combined) effects of institutional dimensions of open government data (which include instructional, structural and accessible rules) on scientific research innovation, as well as the mediating roles that researchers' perceived data usefulness and data capability play in between.

Based on a sample of 1,092 respondents, this study uses partial least squares structural equation modeling (PLS-SEM) and polynomial regression with response surface analysis to evaluate the direct and indirect effects of individual and binary institutional dimensions on scientific research innovation.

The findings demonstrate that instructional, structural and restricted access data have a positive effect on scientific research innovation in the individual effect. While the binary effect of institutional dimensions produces varying degrees of scientific research innovation. Furthermore, this study discovers that the perceived usefulness and data capability of researchers differ in the mediating effect of institutional dimensions on scientific research innovation.

Theoretically, this study contributes new knowledge on the causal links between data publication institutions and innovation. Practically, the research findings offer government data managers timely suggestions on how to build up institutions to foster greater data usage.

This study aims to explore the relationship between board diversity and financial performance, examining how the presence of women on corporate boards affects metrics such as profitability. In addition, this study investigates how corporate governance and ownership structure influence gender diversity policies and the appointment of women to boards.

Two hypotheses were proposed and following regression models were developed for data analysis. The sample for this study consists of companies listed on the Taiwan Stock Exchange in five years (2015–2019). The data was extracted from the Taiwan Economic Journal Taiwan database with the final data set comprised 9,379 firm-year observations.

This study indicates a positive association between board diversity and financial performance. Moreover, the relationship between female directors on the board and financial performance is stronger for firms with a higher percentage of institutional investors.

By highlighting how gender-balanced boards and engaged institutional shareholders improve profitability, this study suggests that actively recruiting women directors and pursuing governance reforms that empower shareholders can pay dividends for Taiwanese companies. The results make an important contribution to the limited research on diversity's impact within Asian corporate settings.

Banks' service failures are a major determinant of bank customers' switching behavior, which ultimately affects the profitability and stability of banks. Guided by the expectancy violation theory (EVT), this study aims to examine whether and how bank reputation influences the relationship between service failure and customers' switching behavior in the Malaysian banking industry.

By distributing questionnaires to Malaysian bank account holders, the authors gathered 320 usable responses, which were subsequently subjected to explanatory factor analysis, confirmatory factor analysis, Logit regression, Probit regression and independent-variables T-test to identify and elucidate the relationship existent between the dependent and independent variables.

This study discovered that bank reputation affects the bank customers' switching behavior directly and indirectly via banks' service failure, thereby verifying the application of EVT in the context of customer management.

Although the profile of respondents in this study presents a reasonable representation of the Malaysian population, the use of convenience (non-probability) sampling method via online survey may not provide generalizable results.

This study empirically revealed that bank reputation plays a moderator role between service failure in banks and customers' bank-switching behavior. This observation offers useful insights to bank managers into the role of bank reputation in managing customers' switching behavior.

This paper aims to design, build and evaluate a blockchain platform in the accounting domain, taking an ecosystem perspective. To achieve this aim, the research provides evidence for developing a decentralised architecture rooted on blockchain technology, designing a proof of concept and modelling an accounting blockchain-based system.

Moving from the analysis of previous literature and leveraging on the design science approach, this paper provides a framework grounded on the main pillars of blockchain and accounting functions, identifying technical and non-technical issues that must be addressed embrace blockchain technology's full potential.

We propose and discuss a conceptual framework for a blockchain-based accounting context, moving from the identification of a typical accounting scenario. The framework is organised around three scalable levels: the first level is a technological infrastructure based on a distributed database with peer-to-peer storage; second, in the intermediate level, increasing control levels are assured through permissions and validation and third, in the higher level, the system provides the integration of business and security applications. The deployment of this system relies on a private network of nodes that validates transactions.

The proposed conceptual framework about blockchain development in accounting allows closing the knowledge gap between blockchain developers and accounting experts by suggesting technological and strategic issues for practitioners.

We provide practical guidelines to design and adopt blockchain in the accounting domain.

This study aimed to utilize Epistemic Network Analysis (ENA) for a thorough evaluation of policy documents concerning the digital transformation in Vietnam's higher education sector.

Adopting a quantitative ethnography approach, this research employed ENA to analyse a curated collection of 21 documents that specifically addressed higher education (HE) and digital transformation within Vietnam. The study also incorporated qualitative content analysis, utilizing the constant comparison method as outlined by Onwuegbuzie et al. (2009), for data coding. ENA facilitated the examination of connections among various policy aspects.

The study revealed a consistent overarching theme in Vietnam's digital transformation policies during and post-pandemic, focusing on key areas such as ADMINISTRATION, VISION, QUALITY, and INFRASTRUCTURE. However, a temporal shift in emphasis was observed: during the pandemic, policies were more focused on ADMINISTRATION and INFRASTRUCTURE, while post-pandemic, there was an increased emphasis on COLLAB, VISION, and TEACH_LEARN.

This research represents one of the initial efforts to showcase the utility and significance of ENA in analysing policy documents. It underscores ENA's potential in elucidating the complex interplay of policy elements in the context of digital transformation in higher education, particularly within a developing country setting.

Preventing and tackling bullying effectively are important agenda for schools to safeguard all children’s well-being, engagement and sense of belongingness. Children perceived to be different from their peers tend to have a higher risk of being bullied at school, in particular, children with disabilities. It can be challenging for teachers to stop bullying that targets children with disabilities. This chapter considers bullying as a barrier to ensuring inclusive and quality education for everyone. It draws on findings from an ethnographic study concerning the status of inclusion of children identified as having learning difficulties in mainstream schools in China, by listening to what children and teachers have to say (Wang, 2016). The study found that the child participants were subject to forms of bullying. They found it useful to gain support from others when bullying happened, and they showed empathy towards peers’ well-being. The teacher participants reflected on the dilemmas and challenges of dealing with bullying and were keen to share experiences about what they found helpful in addressing the issue. The chapter discusses how insights about bullying learned from children and teachers can be used to inform the enactment of inclusive pedagogy. It is concluded that an inclusive pedagogical response that recognizes every child’s voice is necessary for tackling bullying and co-creating an inclusive environment.

Using the theoretical frameworks of public diplomacy and public relations, we mapped how the Chinese government has used panda imagery to build its national brand on Twitter and how this ‘panda diplomacy’ has facilitated its para-diplomatic actions. Our findings uncover new attempts by the Chinese government to engage in digital diplomacy. Mobilizing panda imagery on Twitter enhanced friendly relations with foreign political leaders and people and established a friendly and peaceful image of China on Twitter.