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People with energy poverty are denied the modern energy services such as cooking, lighting, heating, cooling and communication. These needs are all crucial to maintaining an acceptable level of living standards. This paper aims to examine the effects of energy poverty on health and education.

This systematic review was conducted using the 2009 Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines. The ScienceDirect, Scopus and Google Scholar databases were used to search the studies conducted between 2012 and 2022. Studies included in this review were searched with some combinations of keywords and saved in Mendeley Desktop for review and referencing. Of 1,745 articles retrieved after removing the duplicates from the databases, 22 met the inclusion criteria.

Out of the total 22 studies reviewed, six were conducted in Asia, six in Europe, four in Africa, three in developing countries and one each in North America, Australia and at global level. Results indicated that impacts of energy poverty on health and education were negative. Efforts should be made to improve the economic conditions of the population in order to allow them access to energy services to achieve higher levels of living.

As this systematic review excludes non-peer-reviewed literature, case studies, reports and theses, and only includes studies published between 2012 and 2022 in English language only, consequently, it may not provide an exhaustive overview of the literature on topic.

To the best of the authors’ knowledge, this is the first systematic review to investigate the relationship between energy poverty, health and education conducted here. The search methodologies involve systematic searches of databases and other manual searches. Considering the wide inclusion criteria, this review is useful as a general overview of the issues and identifies particular gaps in the existing evidence.

This paper aims to explore financial anxiety and generalized anxiety as the serial mediators linking perceived organizational support (POS) to career commitment.

Data were collected from 388 managerial and nonmanagerial employees in diverse service areas, such as restaurants, airlines and hotels in Turkey. The direct and mediating effects were tested via the PROCESS macro.

Financial anxiety partly mediates the impact of POS on career commitment. The findings further reveal that financial anxiety and generalized anxiety serially mediate the effect of POS on career commitment.

Management should work with mentors to provide employees with psychosocial support during the COVID-19 pandemic. When employees perceive that the firm really cares about them and values their contribution during these challenging days, they display lower anxiety and higher career commitment. Management should also retain employees who are high on career commitment because such employees possess a sense of calling and are unlikely to quit. These implications may not be considered new. However, management would need such employees concerning the firm’s performance recovery after COVID-19.

Workers in the service industries suffer from financial and generalized anxieties and display reduced career commitment during COVID-19. However, little is known about the antecedents and outcomes of financial anxiety among hospitality and tourism workers. More importantly, no empirical piece has tested these anxiety variables as the mediators linking POS to career commitment in the pertinent literature so far.

This study aims to examine how board gender diversity and foreign directors influence the sector-wise corporate philanthropic giving (donation) of Islamic banks in Bangladesh.

Unbalanced panel data were extracted from the annual reports of Islamic banks in Bangladesh over 11 years, from 2010 to 2020.

The findings indicate that gender diversity significantly improves corporate philanthropic giving for the education sector but insignificantly influences corporate philanthropic giving for health and humanitarian and disaster relief sectors. In contrast, the results show that foreign directors significantly and positively affect the banks' corporate philanthropic giving for the three sectors.

This paper used only secondary data extracted from the annual reports of Islamic banks in Bangladesh between 2010 and 2020. Besides, only three sectors of corporate social responsibility activities were considered. Hence, the findings could not be generalized, as the study used only data from one country.

The findings can be useful to policymakers and regulators to provide policies and regulations that ensure the appointment of women and foreign directors to boards that can competently promote Islamic banks' charitable donations.

Inducing Islamic banks to provide corporate donations for activities related to education, health and humanitarian and disaster relief can contribute directly to achieving sustainable development goals (SDGs) like SDG-3 (good health and well-being) and SDG-4 (quality education) and impliedly support attaining some indicators of SDG-1 (no poverty), SDG-2 (zero hunger) and SDG-10 (reduced inequality).

This study contributes to the literature by investigating how board gender diversity and foreign directors influence sector-wise corporate donations for the education, health and human and disaster relief sectors instead of aggregate donations studies concentrated by previous studies.

Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response is crucial for effectively managing medical centres, staff allocation and casualty distribution during emergencies. To address this issue, this study aims to introduce a multi-objective stochastic programming model to enhance disaster preparedness and response, focusing on the critical first 72 h after earthquakes. The purpose is to optimize the allocation of resources, temporary medical centres and medical staff to save lives effectively.

This study uses stochastic programming-based dynamic modelling and a discrete-time Markov Chain to address uncertainty. The model considers potential road and hospital damage and distance limits and introduces an a-reliability level for untreated casualties. It divides the initial 72 h into four periods to capture earthquake dynamics.

Using a real case study in Istanbul’s Kartal district, the model’s effectiveness is demonstrated for earthquake scenarios. Key insights include optimal medical centre locations, required capacities, necessary medical staff and casualty allocation strategies, all vital for efficient disaster response within the critical first 72 h.

This study innovates by integrating stochastic programming and dynamic modelling to tackle post-disaster medical response. The use of a Markov Chain for uncertain health conditions and focus on the immediate aftermath of earthquakes offer practical value. By optimizing resource allocation amid uncertainties, the study contributes significantly to disaster management and HT research.

This study aims to examine the threats posed by cybercrimes toward the quest for achieving a reliable digital economy and to identify practical strategies for countering the crime.

A qualitative phenomenological paradigm was used as the methodology. Both primary and secondary sources were consulted for data collection. A thematic analytical interpretation was used for data analysis.

This study discovered that Nigeria is a leverage environment for using digital economy as a means of diversifying the economy owing to population bulge, and an increase patronage of internet and digital space but the threats of cyberfraudsters is ostracising a substantial number from using it which is decreasing the performance of the digital economy.

The research is limited by the scarcity of resources to widen the horizon of the study particularly the fieldwork and the rampant incidences of cybercrime in Nigeria which poses a difficult task for studying the phenomenon. In addition, this study is constrained by the confidentiality in releasing data owing to the sensitivity of the subject of study and its relationship to national security.

This study presents some suggestions that are plausible in countering the crimes and enhancing the digital economy in Nigeria through effective surveillance, massive information and communication technology (ICT) awareness creation for users and severe penitent sanctions for cybercriminals will help in securing digital spaces.

This study has social implications including the suggestion for simplifying digital transactions that will save time, increases economic activities and passive multiple stream income for Nigerians and ease of doing business with less risk of robbery and other cumbersome tasks.

This study has originality value because after the survey of the existing literature, a field work is conducted to have the views of experts on the subject of study which adds value to the subject and originality of the findings.

This paper empirically assesses energy efficiency (EE) adoption among firms by examining the factors that drive investment in EE in the Onitsha plastic cluster, South-East, Nigeria.

Self-administered questionnaires were delivered to the selected enterprises. A total of 450 questionnaires were administered of which 423 were certified valid and used for the analysis. A Heckit model was developed and estimated.

Gender, firm size, Joneses effect and expected cost reduction benefits are the significant determinants of EE investment. However, firm structure, government incentives, regulatory requirements and reduction of carbon emission are insignificant drivers of EE investment decisions in the Onitsha plastic cluster.

This paper presents a foremost attempt at analysing the determinants of energy investment in a cluster in Nigeria.

Lubricating oil leakage is a common issue in thermal power plant operation sites, requiring prompt equipment maintenance. The real-time detection of leakage occurrences could avoid disruptive consequences caused by the lack of timely maintenance. Currently, inspection operations are mostly carried out manually, resulting in time-consuming processes prone to health and safety hazards. To overcome such issues, this paper proposes a machine vision-based inspection system aimed at automating the oil leakage detection for improving the maintenance procedures.

The approach aims at developing a novel modular-structured automatic inspection system. The image acquisition module collects digital images along a predefined inspection path using a dual-light (i.e. ultraviolet and blue light) illumination system, deploying the fluorescence of the lubricating oil while suppressing unwanted background noise. The image processing module is designed to detect the oil leakage within the digital images minimizing detection errors. A case study is reported to validate the industrial suitability of the proposed inspection system.

On-site experimental results demonstrate the capabilities to complete the automatic inspection procedures of the tested industrial equipment by achieving an oil leakage detection accuracy up to 99.13%.

The proposed inspection system can be adopted in industrial context to detect lubricant leakage ensuring the equipment and the operators safety.

The proposed inspection system adopts a computer vision approach, which deploys the combination of two separate sources of light, to boost the detection capabilities, enabling the application for a variety of particularly hard-to-inspect industrial contexts.

The purpose of this study is to explore the effect of stitch type and stitch direction on the dynamic drape behavior of the woven fabric.

In this paper, the effectiveness of stitch type and stitch directions on dynamic drape behaviors were investigated. Fabric parts were sewn together with two types of the stitch (lockstitch and overlock stitch) on three different stitch directions (warp, weft and bias (45°)). The static drape coefficients (SDC) of unsewn and sewn fabrics were measured according to the image process method. Dynamic drape coefficients (DDC) of fabrics were also measured using the same method at six different (25, 50, 75, 100, 125, 150 rpms) rotation speeds. Additionally, bending length and bending rigidity were measured using the Cantilever test method.

Experimental results showed that stitch type and stitch directions are effective on the dynamic drape behaviors of the fabric. Overlock stitch resulted in greater DDC than the lock stitch. For both of the stitch type, DDC for the stitch on the warp direction are greater than the stitch on the weft and bias direction for all speeds. In addition, bending length, hence the bending rigidity, are greater for overlock stitch type and always weft direction resulted in greater than the warp and bias direction.

Fabric drape is vital for garment appearance and is gaining popularity with the advancement of virtual technology, enabling virtual visualization of garments. While previous studies have predominantly examined either the static or dynamic drape behavior of individual fabric panels, or solely focused on the static drape behavior of sewn fabrics, this study acknowledges the significance of incorporating the influence of stitch type and direction on dynamic drape behaviors. Considering that fabrics are sewn together to create garments and that DDC provides a more accurate representation of real-time fabric behavior compared to SDC, this research makes a valuable contribution to the existing literature by investigating the impact of stitch type and direction specifically on DDC.

This purpose of this study was to examine the impact of social and organisational capital on service innovation capability among service firms in the United Arab Emirates (UAE) during the COVID-19 pandemic.

To test the proposed research model, data were collected using a cross-sectional questionnaire. The study sample consisted of 188 private and public service sector managers in the UAE. Partial least square-based structural equation modelling (PLS-SEM) was used to examine the research model's validity and reliability and to test the research hypothesis.

The empirical evidence indicates that during this pandemic the relationship between social capital and service innovation capability was fully mediated by strategic environmental scanning, while partially mediating the relationship between organisational capital and service innovation capability.

Managers in service organisations must be proactive during crises such as the COVID-19 pandemic. Specifically, they should emphasise effective environmental scanning and the tracking of customer preferences to provide customised services that are valued and meet the emerging requirements of their customers. Prioritising investment in organisational capital to enhance innovation capacity is also recommended.

This study is the first to examine strategic environmental scanning as a mediator between social and organisational capital and service innovation capacity during a pandemic. There were significant differences between the findings of our study and previous studies: the authors found that, during crises, management priorities change, and businesses become more reliant on organisational capital to develop service innovation capability.