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The purpose of this paper is to investigate the significant supply chain issues in the small and medium-sized enterprise (SME) food industry. The objectives are to identify the major themes and the dynamic evolution of SME food supply chain (FSC) issues, the current research trends, the different modelling approaches used in SME FSC, and the most addressed SME food sector.

In all, 3,733 published articles from 2002 to 2018 in the Clarivate Analytics Web of Science database were collected, from which 1,091 articles were shortlisted for the review. The authors used bibliographic coupling combined with co-word analysis to identify the historical relations of the research themes that emerged during the periods 2002–2014 and 2002–2018.

This research identified five major research themes such as production and distribution in alternative food networks, relationship, safety and standards in the FSC, greenhouse gas (GHG) emission impact of the farm food system, traceability and product quality in FSC and asymmetric price transmission in the FSC. Among the identified themes, GHG emission impact of the farm food system and traceability and product quality in the FSC have received increasing attention in recent years. The dairy sector is the most addressed sector (36 per cent), followed by fruits and vegetables (27 per cent), meat and poultry (18 per cent), seafood (10 per cent) and grains and oilseed (8 per cent). It is also identified that the dairy sector has received significant attention in the “GHG Emission impact of farm food system” theme. Similarly, meat and poultry sectors have received much attention in the “Traceability and product quality in the food supply chain” theme. Also, the authors identified that the empirical modelling approaches are the most commonly used solution methodology, followed by the conceptual/qualitative methods in the SME FSC.

This study maps and summarizes the existing knowledge base of supply chain issues in the SME food sector. The results of this review provide the major research areas, most commonly used approaches and food sectors addressed. This study also highlights the research gaps and potential future research direction.

The purpose of this paper is to explore the strategies that helps leaders be authentic in order to be able to respond proactively and become effective in helping their organisations they lead in the context of the COVID-19 pandemic.

Using a qualitative approach, 25 business leaders from diverse sectors were interviewed to understand what sustained them in an adverse context.

Results reveal various dimensions of authentic leadership in a disruptive environment. Authentic leaders have to exhibit distinct behaviours that stems from re-examining oneself to reaffirming organisational purpose. Reimagining the work is emerged as the newer dimension to the authentic leadership considering the context of COVID-19.

The results of the study provides insights for anyone leading organisations in today's disruptive business environment. The findings of this study can be used further to undertake quantitative studies to test professional relationships and understand the leadership strategies at different time frames.

This paper addresses the strategies that leaders successfully follow to withstand the COVID crisis and highlights the different roles and behaviours that helped leaders to address the crisis confidently.

The concentration of women entrepreneurs on influential events such as the development of green entrepreneurship, which lead to the coordination and dynamic balance between economic and environmental goals, can create a bright future for businesses with sustainable and environmentally friendly architecture. The main purpose of this study is to provide a framework for the successful entry of women entrepreneurs into green entrepreneurship.

The present qualitative applied descriptive-analytical study was conducted on a population of women entrepreneurs working in green businesses. This population was obtained by the non-probability chain sampling method and an exploratory interview with the saturation of 12 individuals. Thematic analysis was used to analyze the findings.

The results revealed that creating shared value, inclusive social acceptance, multifaceted interactions and green dynamic bedding are effective in the entry of women entrepreneurs into green entrepreneurship in the form of “competitive empowerment” and “multiplied green synergy”. Thus, managers and planners should consider some factors, including shared value, social acceptance, inclusive acceptance, building green culture, knowledge flows, multiple participation, networking dimension, green marketing, competitiveness, creating platforms, green technologies and risk management.

This research tries to present a framework for the entry of women entrepreneurs into green entrepreneurship area.

The domains of Industry 4.0 and Smart Farming encompass the application of digitization, automation, and data-driven decision-making principles to revolutionize conventional sectors. The intersection of these two fields has numerous opportunities for industry, society, science, technology and research. Relatively, this intersection is new, and still, many grey areas need to be identified. This research is a step toward identifying research areas and current trends.

The present study examines prevailing research patterns and prospective research prospects within Industry 4.0 and Smart Farming. This is accomplished by utilizing the Latent Dirichlet Allocation (LDA) methodology applied to the data procured from the Scopus database.

By examining the available literature extensively, the researchers have successfully discovered and developed three separate research questions. The questions mentioned above were afterward examined with great attention to detail after using LDA on the dataset. The paper highlights a notable finding on the lack of existing scholarly research in the examined combined field. The existing database consists of a restricted collection of 51 scholarly papers. Nevertheless, the forthcoming terrain harbors immense possibilities for exploration and offers a plethora of prospects for additional investigation and cerebral evaluation.

This study examines the Industrial Revolution's and Smart Farming's practical effects, focusing on Industry 4.0 research. The proposed method could help agricultural practitioners implement Industry 4.0 technology. It could additionally counsel technology developers on innovation and ease technology transfer. Research on regulatory frameworks, incentive programs and resource conservation may help policymakers and government agencies.

The paper proposes that the incorporation of Industry 4.0 technology into agricultural operations can enhance efficiency, production and sustainability. Furthermore, it highlights the significance of creating user-friendly solutions specifically tailored for farmers and companies. The study indicates that the implementation of supportive legislative frameworks, incentive programmes and resource conservation methods might encourage the adoption of smart agricultural technologies, resulting in the adoption of more sustainable practices.

This study examines the Industrial Revolution's and Smart Farming's practical effects, focusing on Industry 4.0 research. The proposed method could help agricultural practitioners implement Industry 4.0 technology. It could additionally counsel technology developers on innovation and ease technology transfer. Research on regulatory frameworks, incentive programs and resource conservation may help policymakers and government agencies.

Based on a thorough examination of existing literature, it has been established that there is a lack of research specifically focusing on the convergence of Industry 4.0 and Smart Farming. However, notable progress has been achieved in the field of seclusion. To date, the provided dataset has not been subjected to analysis using the LDA technique by any researcher.

Environmental sustainability is quickly becoming one of the most critical issues in industry development. This study aims to conduct a systematic literature review through which the author can provide various research areas to work on for future researchers and provide insight into Industry 4.0 and environmental sustainability.

This study accomplishes this by performing a backward analysis using text mining on the Scopus database. Latent semantic analysis (LSA) was used to analyze the corpus of 4,364 articles published between 2013 and 2023. The authors generated ten clusters using keywords in the industrial revolution and environmental sustainability domain, highlighting ten research avenues for further exploration.

In this study, three research questions discuss the role of environmental sustainability with Industry 4.0. The author predicted ten clusters treated as recent trends on which more insight is required from future researchers. The authors provided year-wise analysis, top authors, top countries, top sources and network analysis related to the topic. Finally, the study provided industrialization’s effect on environmental sustainability and the future aspect of automation.

The reliability of the current study may be compromised, notwithstanding the size of the sample used. Poor retrieval of the literature corpus can be attributed to the limitations imposed by the search words, synonyms, string construction and variety of search engines used, as well as to the accurate exclusion of results for which the search string is insufficient.

This research is the first-ever study in which a natural language processing technique is implemented to predict future research areas based on the keywords–document relationship.

Reservation of travel and leisure services through the digital environment has gained a growing role in society, influencing the revolution of the sector. It needs to be noted that there is a considerable lack of formal approaches to the identification of factors for the positive reception and use of these digital tools. For this reason, it is necessary to establish the main factors influencing the adoption and use of digital travel and restaurant platforms (TRPs), adding to the theoretical model two new factors: trust and word-of-mouth (WOM). This paper aims to discuss the aforementioned ideas.

A theoretical model has been proposed, based on the extended unified theory of acceptance and use of technology (UTAUT2). Data collection was conducted through an online survey, in which 331 responses were compiled. Data obtained were analysed using structural equation modelling (SEM) with AMOS v27 software.

The results show that performance expectancy and WOM have a significant impact on the adoption of TRPs. However, it was found that effort expectancy, social influence, facilitating conditions, trust and price/value are not significant variables.

This research confirms that WOM communication positively influences the use of TRPs, facilitating various aspects for restaurant customers, including reducing wait times, streamlining the ordering process for allergic and intolerant customers, enhancing loyalty programs, order management and the opportunity to provide a personalised experience.

This study is the first to incorporate WOM variable into the extended UTAUT2 model applied to TRPs. Through a literature review, it has paved the way for significant future research directions that have not been adequately addressed by the scientific community, including the adoption and usage of food delivery platforms and online review platforms, as well as the behaviour of disabled customers towards these platforms.

The unique characteristic of Islamic bank leads in governance and disclosure. Using stakeholder, signaling, and market discipline theory, governance and adequate disclosure may increase bank soundness. This study aims to investigate the relationship of sharia disclosure and Sharia Supervisory Board in influencing Islamic bank soundness in the different regulatory framework of the country. Using purposive sampling, the research covered 84 Islamic banks in 16 countries during the period 2013–2015 with lag data of Islamic bank soundness. The result shows sharia disclosure influences on Islamic bank soundness for management efficiency, capital adequacy ratio, asset quality, and liquidity. The results also show that sharia disclosure mediates the indirect effect of SSB on Islamic bank soundness. The regulatory framework (sharia accounting standard and SSB regulation) shows moderating effect of regulation framework proved on the association of sharia disclosure with management efficiency, capital, and liquidity. The effect is indirectly depending on the regulatory framework for proxy management efficiency, capital, and liquidity. The implication of the research suggests that sharia disclosure could increase the market discipline mechanism of Islamic bank stream. The Islamic bank can increase the transparency using sharia disclosure as a branding for increasing public trust, even though in the deficient Islamic bank regulation countries.

The paper examines financial resilience responses/capacities of governments from Liberia, Sierra Leone and Ghana in relation to COVID-19. It highlights the governments’ fiscal, budgetary and actions as either anticipatory or coping mechanisms towards the pandemic.

Multiple case studies and secondary data were used, including official government documentation/records, expert views, policy publications by supranational organisations and international financial institutions and media reports. Textual analysis was conducted to evaluate the case countries’ resilience.

The paper highlights how governmental budgetary initiatives, including repurposing the manufacturing sector, can sustain businesses, aid social interventions and reduce vulnerability during health crises. In addition, the paper highlights that external borrowing continues to be indispensable in the financial and budgetary initiatives of the case countries. The paper finds that lessons learnt from the Ebola Virus Disease (EVD) in West Africa within the last decade have shaped the anticipatory resilience capacities of the case countries against COVID-19.

The paper uses the notion of resilience, the dimensions of the resilience framework and the resource-based view (RBV) theory to unearth resilience patterns. This sort of combined approach is new to financial resilience studies.

Multilevel inverter (MLI) is a prevailing sensible alternative to two-level inverters that offer a high-quality output voltage waveform, wherein the multiple input direct current (DC) levels are established by using isolated DC sources, batteries and renewable energy sources. The purpose of this paper is to develop MLI to offer lower total harmonic distortion (THD), higher output voltage levels and reduced switching components for high power applications.

In this paper, a new tapped sources stack succored modified HX bridge MLI (TSSSMHXBMLI) topology is proposed which includes two modules, such as tapped sources stack (TSS) and modified HX bridge inverter, which perform their function in a single stage. Also, this paper outlines the formulaic implementation of the multicarrier/sub-harmonic pulse width modulation (MCPWM/SHPWM) in a Xilinx Spartan3E-500 field programmable gate array (FPGA) is suitable for the developed MLI.

The feasibility of the suggested topology is well proved by both simulation and experiment results.

This paper examines a new topology of TSSSMHXBMLI with a view to minimize total count of switching components against basic MLI topologies. The operating sequence of the suggested TSSSMHXBMLI topology is verified with the simulation study followed by an experimental investigation.

The simulation and experimental results of suggested MLI topology reveals to obtain lower THD, higher output voltage levels and reduced switching components for high power applications.

At the heart of successful automated manufacturing systems lies the idea of effective integration of various functions. In any sizeable application of a Computer Integrated Manufacturing (CIM) system, an enormous amount of complex data needs to be logically integrated and managed. Presents and discusses the complex nature of CIM data and the difficulties associated with managing them. Given these difficulties, effective data management of such advanced manufacturing systems poses a challenging task for system designers and managers. Given the growing rate of diffusion of relational databases, it is important to explore the capabilities of this technology in serving the data management needs of manufacturing systems. Proposes a relational database schema, as opposed to a hierarchical or a network model. Uses appropriate examples from a Cellular Manufacturing setting to illustrate the proposed schema. Discusses issues related to distributing and logically integrating databases, and outlines managerial implications associated with rapidly changing information management technologies.