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In this paper, a new front end converter (FEC) topology has been proposed for the switched reluctance (SR) motor drive. This study aims to present the performance analysis of FEC-based SR motor drive using various types of control schemes like conventional proportional integral (PI) controller, fuzzy logic controller (FLC) and fuzzy-tuned proportional integral controller (Fuzzy-PI).

The proposed FEC-based SR motor drive with various control strategies is derived for the torque ripple minimization and speed control.

The steady state and the dynamic response of the FEC-based SR motor drive are analyzed using three different controllers under change in speed and loading conditions. The Fuzzy-PI-based control scheme improves the dynamic response of the system when compared with the FLC and the conventional PI controller.

The hardware prototype has been implemented for the FEC-based SR motor drive by using the Xilinx SPARTAN 6 FPGA processor. The experimental verification has been conducted and the results have been measured under steady state and dynamic conditions.

This paper aims to propose a new MLI topology with reduced number of switches for photovoltaic applications. Multilevel inverters (MLIs) have been found to be prospective for renewable energy applications like photovoltaic cell, as they produce output voltage from numerous separate DC sources or capacitor banks with reduced total harmonic distortion (THD) because of a staircase like waveform. However, they endure from serious setbacks including larger number of capacitors, isolated DC sources, associated gate drivers and increased control difficulty for higher number of voltage levels.

This paper proposes a new three-phase multilevel DC-link inverter topology overpowering the previously mentioned problems. The proposed topology is designed for five and seven levels in Matlab/Simulink with gating pulse using multicarrier pulse width modulation. The hardware results are shown for a five-level MLI to witness the viability of the proposed MLI for medium voltage applications.

The comparison of the proposed topology with other conventional and other topologies in terms of switch count, DC sources and power loss has been made in this paper. The reduction of switches in proposed topology results in reduced power loss. The simulation and hardware show that the output voltage yields a very close sinusoidal voltage and lesser THD.

The proposed topology can be extended for any level of output voltage which is helpful for sustainable source application.

Multilevel inverters become very popular in medium voltage applications owing to their inherent capability of reconciling stepped voltage waveform with reduced harmonic distortion and electromagnetic interference. They have several disadvantages like more number of switching devices required and devices with high voltage blocking and need additional dc sources count to engender particular voltage. So this paper aims to propose a novel tri-source symmetric cascaded multilevel inverter topology with reduced number of switching components and dc sources.

A novel multilevel inverter has been suggested in this study, offering minimal switch count in the conduction channel for the desired voltage level under symmetric and asymmetric configurations. This novel topology is optimized to prompt enormous output voltage levels by employing constant power switches count and/or dc sources of voltage. The topology claims its advantages in generating higher voltage levels with lesser number of voltage sources, gate drivers and dc voltage sources.

The consummation of the proposed arrangement is verified in Matlab/Simulink R2015b, and an experimental prototype for 7-level, 13-level, 21-level, 29-level, 25-level and 49-level operation modes is constructed to validate the simulation results.

The proposed topology operated with six new algorithms for asymmetrical configuration to propel increased number of voltage levels with reduced power components.

The purpose of this study is to explore the current state of knowledge of sustainable entrepreneurship (SE) and to gain more insights from the articles originated from the emerging economies. This paper also sets an agenda for future research in this knowledge domain.

The authors perform a systematic literature review by analyzing the primary studies related to SE originating from emerging economies from Asia, Africa and the Middle East. This review scrutinizes a total number of 45 studies to explore the current state of research in this knowledge domain from such economies.

Overall, this review finds that SE research is still at the nascent stage, especially in the context of emerging economies. The authors elicit a few sub-themes, within the SE research, such as individual-level factors, organizational-level factors, institutional-level factors and cultural and social factors.

The authors present a few limitations of this study. Firstly, this study uses articles from the Scopus and Web of Science only. Secondly, this systematic review is limited to the articles originated from emerging economies of Asia, Africa and the Middle East. Thirdly, this review gives overall picture of the SE research in emerging economies and the same in other economies is not in the scope of this study.

The findings of this study will be helpful to the researchers to locate avenues for future course of research in SE field. This study helps the policymakers and educational institutions of emerging economies understand and ingrain sustainability element in entrepreneurship, and thereby helps them to fulfill sustainable economy and sustainable development goals.

To the best of the authors’ knowledge, this study is the first of its kind in the field of SE in emerging economies. This review gives more insights on the state of SE in the emerging economies, as these economies can significantly contribute to the realization of Sustainable Development Goals.

The purpose of this study aims to synthesize a novel donor–acceptor dye based on phenothiazine as a donor (D) and nonconjugated spacer was devised and synthesized by condensing of 2,2'-(1H-indene-1,3(2H)-diylidene) dimalononitrile with aldehyde and the practical synthesis methodology as given in Scheme 1.

The prepared phenothiazine dye was systematically experimentally and theoretically examined and characterized using nuclear magnetic resonance spectroscopy (1H,13C NMR), Fourier-transform infrared spectroscopy (IR) and high-resolution mass spectrometry. Density functional theory (DFT) and time-dependent density functional theory DT-DFT calculations were implemented to determine the electronic properties of the new dye

The UV-Vis absorption and fluorescence spectroscopy of the synthesized dye was investigated in a variety of solvents with varying polarities to demonstrate positive solvatochromism correlated with intramolecular charge transfer (ICT). The probe’s quantum yields (Фf) are experimentally measured in ethanol, and the Stokes shifts are found to be in the 4846–9430 cm⁻¹ range.

The findings depicted that the novel (D-π-A) chromophores may act as a significant factor in the organic optoelectronics.

The purpose of this study is to decipher the role of culture in determining knowledge-hiding tendencies of individuals. This study attempts to understand the different strategic factors (SFs) engendering knowledge hiding, model it and finally estimate the driving and dependency potency of these factors in two different cultural contexts – occidental and oriental.

The authors undertook content analysis of the pertinent literature to trace out the antecedents. These SFs engendering knowledge hiding were later modeled using total interpretive structural modeling (TISM) with the aid of R programming language and consequently subjected to Matriced’ Impacts Croise’s Multiplication Appliquée a un Classement (MICMAC) analysis to categorize these factors into: autonomous, depending, linkage and driving.

The analysis establishes personality traits as a common driving factor engendering knowledge hiding in both the cultural contexts. Emotional intelligence is a key driving factor in an occidental cultural context whereas interpersonal distrust drives knowledge hiding in an oriental cultural setting. The task in hand, its uncertainty and complexity are the other critical factors causing knowledge hiding in the oriental cultural context.

The study suggests organizations in the occidental setting to streamline their recruitment policy, giving due importance to the personality traits and emotional quotient of individuals. As task uncertainty and complexity are the critical driving factors in the oriental context, the organizations should undertake a delicate balancing act between reducing risk, removing uncertainty and progressing.

To the best of the authors’ knowledge, this is probably the first-ever attempt to apply comprehensive TISM and MICMAC on knowledge hiding, which characterizes the antecedents of knowledge hiding in two opposite cultural contexts and thereby offers to provide the required impetus for further research on the influence of culture in knowledge-hiding behavior.

In the uncertain business environment, the supply chains are under pressure to balance routine operations and prepare for adverse events. Consequently, this research investigates how artificial intelligence is used to enable resilience among supply chains.

This study first analyzed the relationship among different characteristics of AI-enabled supply chain and how these elements take it towards resilience by collecting the responses from 27 supply chain professionals. Furthermore, to validate the results, an empirical analysis is conducted where the responses from 231 supply chain professionals are collected.

Findings indicate that the disruption impact of an event depends on the degree of transparency kept and provided to all supply chain partners. This is further validated through empirical study, where the impact of transparency facilitates the mass customization of the procurement strategy to Last Mile Delivery to reduce the impact of disruption. Hence, AI facilitates resilience in the supply chain.

This study adds to the domain of supply chain and information systems management by identifying the driving and dependent elements that AI facilitates and further validating the findings and structure of the elements through empirical analysis. The research also provides meaningful implications for theory and practice.

The COVID-19 pandemic has showcased the lack of resilience found in the global value chains (GVCs) of multinational enterprises (MNEs). Existing evidence shows that MNEs have only recently and slowly started recovering and attempting to rebuild the resilience of their GVCs. This paper analyzes the challenges/inhibitors faced by MNEs in building their resilience through their GVCs.

A four-stage hybrid model was used to identify the interrelationship among the identified inhibitors and to distinguish the most critical ones by ranking them. In the first stage, we employed a modified total interpretive structural modeling (m-TISM) approach to determine the inter-relationship among the inhibitors. Additionally, we identified the inhibitors' driving power and dependency by performing a matrix multiplication applied to classification (MICMAC) analysis. In the second stage, we employed the Pythagorean fuzzy analytic hierarchy process (PF-AHP) method to determine the weight of the criteria. The next stage followed, in which we used the Pythagorean fuzzy combined compromise solution (PF-CoCoSo) method to rank the inhibitors. Finally, we performed a sensitivity analysis to determine the robustness of the framework we had built based on the criteria and inhibitors.

We find business sustainability to have the highest importance and managerial governance as the most critical inhibitor hindering the path to resilience. Based on these insights, we derive four research propositions aimed at strengthening the resilience of such GVCs, followed by their implications for theory and practice.

Our findings contribute to the extant literature by uncovering key inhibitors that act as barriers to MNEs. We link out our findings with a number of propositions that we derive, which may be considered for implementation by MNEs and could help them endow their GVCs with resilience.

The purpose of this paper is to develop a conceptual framework of fly ash (FA) handling by using the total interpretive structural modeling (TISM) technique in the Indian context.

The conceptual framework of the FA handling technique has been developed by using the TISM technique, where the FA handling factors have been identified from literature and verified by experts.

The conceptual framework of FA handling technique developed by using TISM contributes to the development of FA handling hierarchy. The framework identifies that there are 12 important factors which play a vital role in FA handling. The conceptual model indicates that particle size distribution derives FA handling technology.

This study identified important factors for FA handling and it has implication for both organizations and policy makers. This study delivers the factors which play an important role in handling FA in a thermal power plant. This study highlights important linkages essential for the expansion of FA handling technologies and policies.

This study is unique in itself as it studies the FA handling factors through the qualitative modeling technique and has made its contribution in FA handling by providing the conceptual framework for managing FA in the thermal power plant.

This paper reviews the literature available on sustainable entrepreneurship along with the terms used interchangeably (as the context demands) and explores the themes research have undertaken to explain the concept across multidisciplinary avenues. The purpose of this literature review is to determine the direction of research in the field of sustainable entrepreneurship. It also enables the author to find out the relevance with similar terminologies, i.e. green entrepreneurship, ecopreneurship, ecological entrepreneuship etc. Also, how various differentiating concepts under the guise of sustainable entrepreneurship contribute to the similar goals on organizational level.

Scopus and Web of Science databases are explored for research articles including term “sustainable entrepreneurship”. A list of 50 most cited articles is extracted from the results and analyzed for underlying themes and trends in current research. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) standard is used to systematically search articles from two databases and filtering for the most relevant manuscripts.

The categorization of research articles is conducted to understand the direction of research in this field and the emphasis on specific aspects. Themes identified are further elaborated into subcategories to get to the underlying theme of the research article. The research trend implicates the shift toward practical application and evaluation along with conceptual exploration and analysis which is inherent in any field of research.

The literature review in primarily conducted on two most referred databases, i.e. Scopus and Web of Science, as the search for term “sustainable entrepreneurship” yeilded most results in these databases. Also the methodology adopted focused on the most cited articles in the past two decades to extract the themes and subthemes. This allows the researcher to determine the trends and gaps in the current research.