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Introduction: With many new technologies requiring real-time data processing, cloud computing has become challenging to implement due to high bandwidth and high latency requirements.

Purpose: To overcome this issue, edge computing is used to process data at the network’s edge. Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed. It is used to process time-sensitive data.

Methodology: The authors implemented the model using Linux Foundation’s open-source platform EdgeX Foundry to create an edge-computing device. The model involved getting data from an on-board sensor (on-board diagnostics (OBD-II)) and the GPS sensor of a car. The data are then observed and computed to the EdgeX server. The single server will send data to serve three real-life internet of things (IoT) use cases: auto insurance, supporting a smart city, and building a personal driving record.

Findings: The main aim of this model is to illustrate how edge computing can improve both latency and bandwidth usage needed for real-world IoT applications.

This paper investigates the latest achievements of studies on industrial information integration engineering (IIIE).

This paper extends the research by Chen (2016) by reviewing studies from 2016 to 2019 in IEEE Xplore and Web of Science. Altogether, 970 papers related to IIIE are grouped into 27 research categories and reviewed.

The results obtained in this study indicate that the number of research studies on IIIE rose drastically in the past three years compared with the findings in Chen (2016). Particularly, energy, engineering, industrial control, information and communications technologies, instrumentation, manufacturing and transportation are the hot topics. This change proves that the Internet of things (IoT) and IIIE have integrated closely by providing more applications, such as industrial Internet of things (IIoT), cyber-physical system (CPS), smart grids and smart manufacturing. This change also proves the research direction of IIIE identified by Chen (2016).

The results present up-to-date development of IIIE and provide directions for future research on IIIE. The review identifies that energy, engineering, industrial control, information and communications technologies, instrumentation, manufacturing and transportation are the main fields that most of the reviewed papers focus on. Applications that integrate IoT and IIIE, including IIoT, CPS, smart grids and smart manufacturing, are attracting scholars' and practitioners' attention. Some new technologies, such as 5G and blockchain, have the potential to be integrated with IoT and IIIE.

The COVID-19 pandemic has caused significant disruptions to global supply chains (SCs), affecting the production, distribution, and transportation of goods and services. To mitigate these disruptions, it is essential to identify the barriers that have impeded the seamless operation of SCs. This study identifies these barriers and assesses their impact on supply chain network (SCN).

To determine the relative importance of different barriers and rank the affected industries, a hybrid approach was employed, combining the best-worst method (BWM) and the technique for order preference by similarity to an ideal solution (TOPSIS). To accommodate the inherent uncertainties associated with the pandemic, a triangular fuzzy TOPSIS was used to represent the linguistic variable ratings provided by decision-makers.

The study found that the airlines and hospitality industry was the most affected by the barriers, accounting for 46% of the total, followed by the healthcare industry (23%), the manufacturing industry (19%), and finally the consumer and retail industry (17%).

This study is limited to the four critical industries and nine identified barriers. Other industries and barriers may have different weights and rankings. Nevertheless, the findings offer valuable insights for decision-makers in SC management, aiding them in mitigating the impact of COVID-19 on their operations and enhancing their resilience against future disruptions.

This study enhances understanding of COVID-19’s impact on SCN and provides a framework for assessing disruptions using multi-criteria decision-making processes. The hybrid approach of BWM and TOPSIS in a fuzzy environment is unique and offers potential applicability in various evaluation contexts.

Although the advances in the supply chain resilience (SCR) literature, there is a critical gap concerning this understanding in a high disruption context, such as in the case of the COVID-19. This paper aims to investigate some dimensions (agility, robustness, disruption orientation and resource reconfiguration) of the SCR during this unprecedented disruption in the Brazilian supply chain context.

Supported by the resource-based view, dynamic capabilities and the SCR literature, we developed a model, which in turn was analyzed and validated by partial least squares structural equation modelling.

The results revealed that while resource reconfiguration and supply chain disruption orientation positively affect SCR, we found a non-significant effect of supply chain robustness and agility.

The findings suggest that in a considerable disruption scenario, managers with their supply chain operations in emerging economies should prioritize the development of resources to support the disruption orientation and manage the scarce resources adequately by reconfiguring them.

Our study is one of the first that reported the dynamics of the SCR dimensions in an emerging economy during the COVID-19.

Coronavirus disease (COVID-19) was declared as a pandemic since COVID-19's widespread outbreak and the hospitality industry has been the hardest hit due to lockdown. Consequently, hospitality workers are suffering from the negative aspects of mental health. In the event of such a crisis, this study aims to explore the link between unemployment and home isolation to the willingness to choose electronic consultation (e-consultation) by exploiting psychological ill-being and behavioural intention (BI) with marital status as a moderator.

A quantitative methodology is applied to primary data collected from 310 workers from the hospitality industry through an online survey.

Findings of this study suggest that the usage of the e-consultation service can be adopted using three levels. There are valid reasons to conclude unemployment and home isolation are linked to higher rates of psychological health behaviours, which can result in stigma, loss of self-worth and increased mortality. The adverse effect is higher for single individuals than for married people.

The study focussed on e-consultation, BI coupled with the Fishbein scale and a classification model for the prediction of willingness to choose e-consultation with the extension of Theory of Planned Behaviour (TPB).

Despite the growing unforeseen and catastrophic events that disrupt business operations, empirical studies on the impact of operational disruption (OD) on small and medium enterprises' (SMEs) performance dimensions are limited. The study aims to investigate the moderating effect of disruption orientation (DO) and government support (GS) on the relationship between coronavirus disease (COVID-19) OD and SMEs' performance.

Quantitative survey method was used to collect data from 170 SMEs in Nigeria, through hand-delivery questionnaires. Partial least square (PLS) structural equation modeling (SEM) was employed to analyze the data.

The result shows no significant relationship between COVID-19 OD, DO and GS with SMEs' financial performance (FP). However, the relationship between COVID-19 OD and non-financial performance (NFP) is negatively significant. The relationship between DO and NFP is positively significant. DO and GS have insignificant relationship with FP. Finally, DO and GS does not moderate any of the relationships between COVID-19 OD and the dimensions of SMEs' performance.

The result implies that health-related disruptions such as COVID-19 affect only the NFP of SMEs. However, supply chain managers and SMEs are encouraged to adopt DO to enhance NFP of firms.

The current study is the first to evaluate the impact of health-related disruptions on the two major dimensions of SMEs' performance (FP and NFP) by incorporating the moderating role of internal (DO) and external (GS) factors in to a single framework. However, the paper revealed new theoretical and practical knowledge by illuminating the absence of significant relationship between COVID-19 OD and SMEs' FP, implying that COVID-19 disruption does not significantly affect SMEs' FP.

The paper aims to analyse the effect of acid hydrolysis on the chemical composition and the biological activities of Rubia tinctorum collected from the south of Tunisia. It proposes to clarify the relationship between alizarin content and the antioxidant and antimicrobial activities of Rubia extract.

The paper opted for analytical tools (HPLC) and the in-vitro study of biological activities, namely, the antioxidant activity which is evaluated using the radical scavenging assay (ABTS) and ferric reducing power assay (FRAP); the antimicrobial activity is tested using the wells agar diffusion method.

The paper provides information about the positive effect of acid hydrolysis, namely, the enhancement of alizarin content in the extract which has increased its antioxidant and antimicrobial activities.

This paper fulfils an identified need to study the relationship between the chemical composition, biological activities and colour enhancement.

The purpose of the research is to concentrate on the most important smart metropolitan applications which are smart living, smart security and smart maintainable. In that, Power management and security is a most important problem in the current metropolitan situation.

A smart metropolitan area utilizes recent innovative technologies to improve its living, security and maintainable. The aim of this study is to recognize and resolve the difficulties in metropolitan area applications.

The main aim of this study is to reduce the metropolitan foremost energy consumption, to recharge the electric vehicles and to increase the lifetime of smart street lights.

The hybrid renewable energy street light applies smart resolutions to substructure and facilities in rural and metropolitan areas to create them well. This study will be applying smart metropolitan solar and wind turbine street light using renewable energy for existing areas. In future, the smart street light work will be implemented everywhere else.

Micro, small and medium enterprise (MSME) is the kingpin of Indian economy. It contributes to 48% of India's exports and provides employment to 110 million people. As a result, it is critical to evaluate the obstacles, expose them and find a way to overcome the crisis due to the pandemic. The study aims to analyse the impact of financial and non-financial measures for the revival of MSME and its impact on firm sustainability and future opportunity as perceived by MSME owners/heads during the COVID-19 outbreak.

This study, based on a cross-sectional survey of 197 export-oriented Indian MSMEs, attempts to investigate covid crisis mitigation strategies/measures in the context of the COVID-19 crisis. The confirmatory factor analysis (CFA) model was applied to check model fit, and structural equation modelling (SEM) was employed for data analysis.

The results of this study show the financial and non-financial revival measures such as firm revival, marketing training, customer relationship management (CRM), financial incentive and firm support, extending worker social security and financial access and price control positively impact MSMEs' business sustainability and future opportunity as perceived by the respondents that lent good support to the hypothesis.

The study emphasizes management in association with government and financial institutions to design short-term as well as long-term strategies that may enhance their sustainability in the market. MSMEs are being forced to reassess their business strategy and modify their operating model as a result of the uncertain/unpredictable climate. Many levels of strategy aid in revitalizing the company and providing future possibilities to move forward if the government schemes positively impact the perception of entrepreneurs. Further, the study identifies the immediate measures to tide over the crisis over this sector and then furnishes recommendations for closing the identified gaps in the present understanding.

The impact of COVID-19 on Indian MSMEs and how these MSMEs are dealing with it are highlighted in this paper, which is quite scarce and insufficient to cover the gap. It also provides a comprehensive view of firm sustainability and perceived opportunity among MSMEs.

Science mapping is an essential application of visualization technology widely used in safety, construction management and environmental science. The purpose of this study was to explore thermal comfort in residential buildings (TCinRB) research in India, identify research trends using a science mapping approach and provide a perspective for recommending future research in TCinRB.

This study used the VOSviewer tool to conduct a systematic analysis of the development trend in TCinRB studies in India based on Scopus Index articles published between 2001 and 2020. The annual numbers of articles, geographical locations of studies, major research organizations and authors, and the sources of journals on TCinRB were presented based on the analysis. Then, using co-authorship analysis, the collaborations among the major research groups were reported. Furthermore, research trends on TCinRB studies were visually explored using keyword co-occurrence analysis. The emerging research topics in the TCinRB research community were discovered by analyzing the authors’ keywords.

The findings revealed that studies had been discovered to pay more attention to north-east India, vernacular architecture, Hyderabad apartments and temperature performance in the past two decades. Thermal adaptation, composite climate, evaporative cooling and clothing insulation are emerging research areas in the TCinRB domain. The findings summarized mainstream research areas based on Indian climatic zones, addressed current TCinRB research gaps and suggested future research directions.

This review is particularly significant because it could help researchers understand the body of knowledge in TCinRB and opens the way for future research to fill an important research gap.