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Traditional level inverter technology has drawbacks in the aspect of Total harmonic distortion (THD) and switching losses for higher frequencies. Due to these drawbacks, two-level inverters have become unprofitable for high-power applications. Multilevel inverters (MLIs) are used to enhance the output waveform characteristics (i.e. low THD) and to offer various inverter topologies and switching methods.

MLIs are upgraded versions of two-level inverters that offer more output levels in current and voltage waveforms while lowering the dv/dt and di/dt ratios. This paper aims to review and compare the different topologies of MLI used in high-power applications. Single and multisource MLI's working principal and switching states for each topology are demonstrated and compared. A Simulink model system integrated using detailed circuit simulations in developed in MATLAB®–Simulink program. In this system, a constant voltage source connected to MLI to feed asynchronous motor with squirrel cage rotor type is used to demonstrate the efficacy of the MLI under different varying speed and torque conditions.

MLI has presented better control and good range of system parameters than two-level inverter. It is suggested that the MLIs like cascade-five-level and NPC-five-level have shown low current harmonics of around 0.43% and 1.87%, respectively, compared to two-level inverter showing 5.82%.

This study is the first of its kind comparing the different topologies of single and multisource MLIs. This study suggests that the MLIs are more suitable for high-power applications.

The purpose of this paper aims to design a robust wind turbine emulator (WTE) based on a three-phase induction motor (3PIM).

The 3PIM is driven by a soft voltage source inverter (VSI) controlled by a specific space vector modulation. By adjusting the appropriate vector sequence selection, the desired VSI output voltage allows a real wind turbine speed emulation in the laboratory, taking into account the wind profile, static and dynamic behaviors and parametric variations for theoretical and then experimental analysis. A Mexican hat profile and a sinusoidal profile are therefore used as the wind speed system input to highlight the electrical, mechanical and electromagnetic system response.

The simulation results, based on relative error data, show that the proposed reactive power control method effectively estimates the flux and the rotor time constant, thus ensuring an accurate trajectory tracking of the wind speed for the wind emulation application.

The proposed architecture achieves its results through the use of mathematical theory and WTE topology combine with an online adaptive estimator and Lyapunov stability adaptation control methods. These approaches are particularly relevant for low-cost or low-power alternative current (AC) motor drives in the field of renewable energy emulation. It has the advantage of eliminating the need for expensive and unreliable position transducers, thereby increasing the emulator drive life. A comparative analysis was also carried out to highlight the online adaptive estimator fast response time and accuracy.

Given their interrelationship, international market selection (IMS) and entry mode selection (EMS) must be considered jointly if an optimal entry strategy is to be realized. However, researchers in the field of international construction have the tendency to consider IMS and EMS independently or sequentially. Therefore, this paper aims to explore a holistic framework that can accommodate IMS and EMS concurrently and test it using empirical data.

his study includes theoretical and empirical research. In theoretical part, an integrated decision model of IMS and EMS is proposed adopting literature review and theoretical derivation, then hypotheses are developed for the impact of decision-making factors. In the latter part, the IMS and EMS of 54 Chinese contractors in 67 countries were investigated, empirical data are collected according to hypotheses, an ordinal logistic regression model is established for statistics analysis. Finally, findings are drawn by comparing literature-based hypotheses with data-based analysis results.

Results show that empirical data fit theoretical model well. Findings are: IMS and EMS can be integrated into a holistic decision-making framework when be properly sequenced. When IMS and EMS are determined simultaneously, the decision can benefit from a sharing of common information. And the roles of at least 13 common factors are empirically demonstrated in this study.

The integrated decision sequence proposed in this study is applicable for a specific market, and cannot compare multiple alternative markets directly. The decision-making factors identified in this paper do not cover the enterprise strategic objectives and some other factors. Empirical data and some theoretical assumptions are based on the international market entry strategy of Chinese contractors. Therefore, the conclusions may not be completely applicable to global contractors though have certain reference value.

Based on the idea of holistic decision-making of IMS and EMS, this study proposes an international market entry strategy (IMES) sequence and an explicit model for determinants, then tests them with empirical data. This paper provides a new idea to manage IMS and EMS concurrently, which can improve the efficiency of IMES decision-making and avoid missing optimal alternatives. This study paves the way for a practical model and provides reference for contractors' international market entry strategy.

This study aims to provide insights into US and Australian analysts' views regarding the relative importance of disclosing the direct method (DM) or indirect method (IM) statement of cash flows and forecasting firm performance.

Evidence is collected from responses to 104 surveys and 52 interviews completed by US and Australian analysts from 2017 to 2022. The survey and interview questions are developed with reference to the literature.

US and Australian analysts believe that the DM format provides incremental benefits compared to the IM for (1) confirming the reliability of earnings; (2) improving earnings confidence; (3) more accurate ex ante forecasts of operating cash flow and earnings; and (4) identifying opportunistic accruals manipulation. Analysts view that DM disclosure can lower firm-level cost of equity, although US interviewees more uniformly expect lower costs of equity under DM disclosure when firms yield low earnings quality. DM disclosure is also more important during unstable economic periods, as proxied by COVID-19.

Limited research currently exists regarding disclosure of the DM or IM and its impact on analysts' forecasting accuracy, earnings quality, economic uncertainty and cost of equity. Previous research has relied on archival research to examine differences between the DM and IM methods and are limited by data availability. Our findings are particularly relevant to the US market with few US firms reporting the DM format.

This study aims to unravel the tensions and convergences between market-oriented neoliberal education and state-serving transnational higher education (TNHE) practices through an infrastructural lens within the broad context of post-pandemic geopolitics.

The study utilizes a case study approach, with a diverse array of data collection methods, including observations, interviews and review of material/online documents issued by the TNHE-related institutions and the Chinese Ministry of Education.

The study identifies three findings: (1) Re-articulation of transnational infrastructures, valuing ‘glocal' education and casting immobility as advantageous yet quasi-mobile; (2) Infrastructural tensions arising from stakeholder contests over program control and (3) Infrastructural dialectics, illustrating how promised (im)mobility becomes a tightly regulated academic journey due to institutional constraints and conflicts.

The findings elucidate the dynamic interplay between international education and TNHE amidst neoliberal pedagogical trends and pandemic-driven geopolitical shifts in China. While the interplay showcased a notable effect on Chinese students' (im)mobility during the pandemic, more empirical research is needed to understand international student (im)mobility issues in the post-pandemic era.

This study explores the infrastructural intersections between international and transnational education during the unprecedented Covid-19. Findings may provide a reference for policymakers and practitioners to strategize the “glocal” approach to international/transnational education in China after the pandemic.

This paper aims to analyze relative contribution of intensive margin (IM) and extensive margin (EM) to growth in India's agricultural exports for the period 2001 to 2020. It also analyses the determinants of IM and EMs through a standard gravity model.

The study uses export data from United Nations Comtrade, which is accessed through World Integrated Trade Solution (WITS) software. Data for the period 2001 to 2020 were compiled for analysis using the Harmonized System (HS) of commodity classification system at the six-digit level. This study decomposed the contribution of IM and EM in the growth of Indian agricultural trade by using Hummels and Klenow's approach. After performing the export decomposition analysis, the authors analyze the factors influencing IM and EM by using the Tobit regression model and Poisson pseudo-maximum-likelihood (PPML) method of estimation.

The EM grew at 1.24% per annum, while the intensive margin (IM) increased by 0.23%. The contribution of growth at the EM increased from 58.8% in 2001 to 70.2% in 2020. Export growth along the IM was relatively high for animal products and agricultural raw materials, while growth at the EM was an important contributor to the export growth of horticultural and processed agricultural products. There was a positive and significant effect of the free trade agreement (FTA) on export margins.

More disaggregated commodity-specific studies on value chain analysis would provide valuable insights into the issues hindering exports and realizing the untapped export potential.

There is a scarcity of holistic and recent studies illustrating the role of IM and EMs in agricultural trade growth, covering a large number of commodities and geographies associated with Indian agricultural trade. The study would be helpful to the stakeholders in facilitating informed policy decisions.

Our purpose is to reconnect memetics to information, a persistent and unclear association. Information can contribute across a span of memetic research. Its obscurity restricts conversations about “information flow,” the connections between “form” and “content,” as well as many other topics. As information is involved in cultural activity, its clarification could focus memetic theories and applications.

Our design captures theoretical nuance in memetics by considering a long standing conceptual issue in memetics: information. A systematic review of memetics is provided by making use of the term information across literature. We additionally provide a citation analysis and close readings of what “information” means within the corpus.

Our initial corpus is narrowed to 128 pivotal memetic publications. From these publications, we provide a citation analysis of memetic studies. Theoretical directions of memetics in the informational context are outlined and developed. We outline two main discussion spaces, survey theoretical interests and describe where and when information is important to memetic discussion. We also find that there are continuities in goals which connect Dawkins’s meme with internet meme studies.

To our knowledge, this is the broadest, most inclusive review of memetics conducted, making use of a unique approach to studying information-oriented discourse across a corpus. In doing so, we provide information researchers areas in which they might contribute theoretical clarity in diverse memetic approaches. Additionally, we borrow the notion of “conceptual troublemakers” to contribute a corpus collection strategy which might be valuable for future literature reviews with conceptual difficulties arising from interdisciplinary study.

The lack of conceptual approaches for organizing and expressing capabilities, usage and impact of intelligent machines (IMs) in work settings is an obstacle to moving beyond isolated case examples, domain-specific studies, 2 × 2 frameworks and expert opinion in discussions of IMs and work. This paper's purpose is to illuminate many issues that often are not addressed directly in research, practice or punditry related to IMs. It pursues that purpose by presenting an integrated approach for identifying and organizing important aspects of analysis and evaluation related to IMs in work settings. 

This paper integrates previously published ideas related to work systems (WSs), smart devices and systems, facets of work, roles and responsibilities of information systems, interactions between people and machines and a range of criteria for evaluating system performance.

Eight principles outline a straightforward and flexible approach for analyzing and evaluating IMs and the WSs that use them. Those principles are based on the above ideas.

This paper provides a novel approach for identifying design choices for situated use of IMs. The breadth, depth and integration of this approach address a gap in existing literature, which rarely aspires to this paper’s thoroughness in combining ideas that support the description, analysis, design and evaluation of situated uses of IMs.

Financial disclosure manipulation is unethical and unlawful because it leads to less transparent reporting and harmful economic decisions based on misleading information. The purpose of this paper is to provide a summary and synthesis of research covering financial disclosure misrepresentation via impression management (IM). Ultimately, this report proposes that virtuous managers may be well-suited to provide transparent, objective disclosure. By extension, virtuous managers may oversee profitable firms and improve capital market efficiency. Suggestions for future research are presented.

This is an academic literature review covering financial disclosure manipulation. The findings are viewed through the lens of Christian virtue ethics (CVE).

IM studies commonly focus on specific methods used to mislead disclosure readers. Antecedent and mitigation strategies are less commonly noted in the research. This paper presents and analyzes IM tools and antecedents. Mitigation approaches are considered through the lens of CVE. This report proposes that virtuous managers may be well-suited to provide transparent, objective disclosure. By extension, virtuous managers may oversee profitable firms and improve capital market efficiency.

This present study focuses on the antecedents of IM in financial disclosures and introduces a novel perspective to financial disclosure mitigation – CVE. Financial disclosure authors and readers, researchers, financial regulators and accounting standards setters may be interested in the findings presented in this study.

Effective inventory management is crucial for SMEs due to limited resources and higher risks like cash flow, storage space, and stockouts. Hence, the aim is to explore how technology and know-how can be integrated with inventory practices and impact operational performance.

The basis of the analysis was collecting papers from a wide range of databases, which included Scopus, Web of Science, and Google Scholar. In the first phase of the process, a search string with as many as nine related keywords was used to obtain 175 papers. It further filtered them based on their titles and abstracts to retain 95 papers that were included for thorough analysis.

The study introduced innovative methods of measuring inventory practices by exploring the impact of know-how. It is the first of its kind to identify and demonstrate how technical, technological, and behavioral know-how can influence inventory management practices and ultimately impact the performance of emerging SMEs. This study stands out for its comprehensive approach, which covers traditional and modern inventory management technologies in a single study.

The study provides valuable insights into the interplay between technical, technological, and behavioral know-how in inventory management practices and their effects on the performance of emerging SMEs in Industry 5.0 in the light of RBV theory.

The RBV theory and the Industry 5.0 paradigm are used in this study to explore how developing SMEs' inventory management practices influence their performance. This study investigates the effects of traditional and modern inventory management systems on business performance. Incorporating RBV theory with the Industry 5.0 framework investigates firm-specific resources and technological advances in the current industrial revolution. This unique technique advances the literature on inventory management and has industry implications.