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Manufacturing processes, such as laminations, may introduce uncertainties in the magnetic properties of materials used in electrical machines. This issue, together with magnetization errors, can cause serious deterioration in the performance of the machines. Hence, stochastic material models are required for the study of the influences of the material uncertainties. The purpose of this paper is to present a methodology to study the impact of magnetization pattern uncertainties in permanent magnet electric machines.

The impacts of material uncertainties on the performances of an interior permanent magnet (IPM) machine were analyzed using two different robustness metrics (worst-case analysis and statistical study). In addition, two different robust design formulations were applied to robust multi-objective machine design problems.

The computational analyses show that material uncertainties may result in deviations of the machine performances and cause nominal solutions to become non-robust.

In this paper, the authors present stochastic models for the quantification of uncertainties in both ferromagnetic and permanent magnet materials. A robust multi-objective evolutionary algorithm is demonstrated and successfully applied to the robust design optimization of an IPM machine considering manufacturing errors and operational condition changes.

This paper aims to propose a numerical methodology to reduce the number of computations required to optimally design the rotors of synchronous reluctance machines (SynRMs) with multiple barriers.

Two objectives, average torque and torque ripple, have been simulated for thousands of SynRM models using 2D finite element analysis. Different rotor topologies (i.e. number of flux barriers) were statistically analyzed to find their respective design correlation for high average torque solutions. From this information, optimal geometrical constraints were then found to restrict the design space of multiple-barrier rotors.

Statistical analysis of two considered SynRM case studies demonstrated a design similarity between the different number of flux barriers. Upon setting the optimal geometrical constraints, it was observed that the design space of multiple-barrier rotors reduced by more than 56 per cent for both models.

Using the proposed methodology, optimal geometrical constraints of a multiple-barrier SynRM rotor can be found to restrict its corresponding design space. This approach can handle the curse of dimensionality when the number of geometric parameters increases. Also, it can potentially reduce the number of initial samples required prior to a multi-objective optimization.

The agriculture sector is crucial for all economies, especially the developing ones. However, agricultural production is influenced by government intervention, which outshines the significant role of good governance indicators in agricultural productivity. In addition to this, the major climate changes also posed various challenges and led to water shortages and yield losses. Thus affecting agricultural production. In this paper, we address the issue by determining the association between state governance and agricultural productivity in N-11 countries.

Panel data have been collected from 2000 to 2021 through the Governance Indicator, World Development Indicator and World Bank databases. For data analysis, the researcher has utilized the autoregressive distributed lag (ARDL) estimations.

Through ARDL estimations, it is suggested that corruption (CC), employment in agriculture (EAG), political stability and violence absence (PS), rule of law (RL), regulatory equality (RQ) and water quality (WQ) significantly impact agricultural productivity (AGP) in the long run. In the short run, the impact of RL on AGP has been significant.

This study follows the method of data collection from secondary sources, which hinders the effectiveness of this study as, on the basis of the respective data, the potential of the researcher to get specific answers to research questions has been affected. Also, this study examines the context of N-11 countries from 2000 to 2021, which exerts a geographical limitation. While exploring the association between state governance and agricultural productivity, this study neglects the internal aspects of implementing state policies in firms.

On practical grounds, the significant association demonstrated by this study encourages agricultural firms to keenly consider state policies to gain sustainable agricultural development. Moreover, this study encourages agricultural firms to efficiently follow governance policies for efficient productivity. The outcomes of the study have shown that agricultural employment and governance infrastructure can efficiently enhance agricultural productivity. Besides, as per the results, water quality also positively impacts agricultural productivity; thus, relevant steps can be taken by the agricultural sector to improve the quality of water.

This article examines the misinformation on the COVID-19 pandemic in social media and electronic media, as well as whether the existing legal administration and laws in Bangladesh, Singapore, and Vietnam are adequate to combat the infodemic. People who believe misinformation and fake news about Coronavirus, prevention, and treatment may put their lives in danger. False information about Coronavirus has spread throughout the world, not just in South and Southeast Asian countries, causing widespread concern in the global healthcare community. We employed a qualitative approach as well as the case study analysis method. Case studies were conducted using news reports and news channels. We examined the legal provisions of the People's Republic of Bangladesh's Constitution, as well as factual analyses of Singapore and Vietnam. We discovered the impact of misinformation dissemination through social and electronic media, which is prevalent not only among rural Bangladeshis but also in almost all classes in Singapore and Vietnam, and how such influence can be detrimental to the interests of Bangladesh, Vietnam, and Singapore.

This study aims to investigate the effect of vibration on ceramic tools under dry cutting conditions and find the optimum cutting condition for the hardened steel machining process in a computer numerical control (CNC) lathe machine.

In this research, an integrated fuzzy TOPSIS-based Taguchi L9 optimization model has been applied for the multi-objective optimization (MOO) of the hard-turning responses. Additionally, the effect of vibration on the ceramic tool wear was investigated using Analysis of Variance (ANOVA) and Fast Fourier Transform (FFT).

The optimum cutting conditions for the multi-objective responses were obtained at 98 m/min cutting speed, 0.1 mm/rev feed rate and 0.2 mm depth of cut. According to the ANOVA of the input cutting parameters with respect to response variables, feed rate has the most significant impact (53.79%) on the control of response variables. From the vibration analysis, the feed rate, with a contribution of 34.74%, was shown to be the most significant process parameter influencing excessive vibration and consequent tool wear.

The MOO of response parameters at the optimum cutting parameter settings can significantly improve productivity in the dry turning of hardened steel and control over the input process parameters during machining.

Most studies on optimizing responses in dry hard-turning performed in CNC lathe machines are based on single-objective optimization. Additionally, the effect of vibration on the ceramic tool during MOO of hard-turning has not been studied yet.

This study aims to gain a deep understanding of the process of international commercial terms (Incoterms) selection by small and medium enterprises (SMEs) in Bangladesh and identify the key factors that influence their choices. The study also intends to explore the discrepancy between the literature and the actual industry practice so that policymakers and traders can make more informed decisions in this respect.

The study adopts a mixed methodology. Initially, 20 factors under five principle components were identified by reviewing the literature. The semi-structured one-to-one interview method has been used to gather expert opinions on the factors and to identify the discrepancy between literature and actual industry practices. Finally, eight factors have been identified and surveyed using the best-worst method (BWM) to determine their relative significance or weights in Incoterm selection.

The study has found that government policies, the influence of banks and currency fluctuations are the top three influential factors in selecting Incoterms by SMEs in Bangladesh. As a result, the most commonly used Incoterms are free on board (FOB) for the exporters and cost and freight (CFR) for the importers. However, discrepancies have been identified between the selected and the actual application of the Incoterms.

To the best of the authors’ knowledge, this is the first study to identify and analyse the factors that influence the selection of Incoterms by the SMEs in the context of a developing nation. The study has identified the factors from both importers’ and exporters’ perspectives that have not been done by any previous studies. Moreover, this study explores the discrepancies between the agreed Incoterm and the actual industry practices which is a unique contribution to the literature.

The recent pandemic caused by coronavirus disease 2019 (COVID-19) has significantly impacted the operational performances of pharmaceutical supply chains (SCs), especially in emerging economies that are critically vulnerable due to their inadequate resources. Finding the possible barriers that continue to impede the sustainable performance of SCs in the post-COVID-19 era has become essential. This study aims to investigate and analyze the barriers to achieving sustainability in the pharmaceutical SC of an emerging economy in a bid to help decision-makers recognize the most influential barriers.

To achieve the goals, two decision-making tools are integrated to analyze the most critical barriers: interpretive structural modeling (ISM) and the matrix of cross-impact multiplications applied to classification (MICMAC). In contrast to other multi-criteria decision-making (MCDM) approaches, ISM develops a hierarchical decision tool for decision-makers and cluster analysis of the barriers using the MICMAC method based on their driving and dependency powers.

The findings reveal that the major barriers are in a four-level hierarchical relationship where “Insufficient SC strategic plans to ensure agility during crisis” acts as the most critical barrier, followed by “Poor information structure among SC contributors,” and “Inadequate risk management policy under pandemic.” Finally, the MICMAC analysis validates the findings from the ISM approach.

This study provides meaningful insights into barriers to achieving sustainability in pharmaceutical SCs in the post-COVID-19 era. The study can help pharmaceutical SC practitioners to better understand what can go wrong in post-COVID-19, and develop actionable strategies to ensure sustainability and resilience in practitioners' SCs.

Risk factors for population relocation as a result of severe catastrophes are increasing on a global scale. The frequency of catastrophic weather events is rising, infrastructure is getting older, the population is expanding, and urbanization is increasing. This study explores the influencing factors of livelihood, vulnerability, and livelihood resilience of climate-induced displaced people in developing countries, particularly in South Asia. A mixed-method approach comprising a systematic review and a narrative review has been applied in this study. A systematic review guided by PRISMA has been used to identify the relevant documents and the extracted information has been described through a narrative review approach. This study reveals that climate-induced displaced people are generally vulnerable to maintaining their livelihood, but there are a few exceptional cases where displaced people could diversify their livelihood strategies. The major influencing factors of their livelihoods are riverbank erosion, loss of assets and properties, food insecurity, seasonal hunger, low access to finance, and low job opportunity. This study argues that climate-displaced people have a long struggle to enhance their livelihood resilience, but it is a challenging task for them, particularly at the household level. The major influencing indicators under adaptive, absorptive, and transformative capacities of livelihood resilience are income and food access, agricultural and non-agricultural assets, sensitivity, climate variability and hazards, basic services, social safety nets, and institutional participation. Appropriate governance in the structural and non-structural transformation of livelihood capitals can enhance the livelihood resilience of climate-induced displaced households. In the case of Bangladesh, the coastal and Riverine Island communities are the key victims of climate-induced hazards, so they migrated frequently to reduce their vulnerability and enhance livelihood resilience. The study recommends ensuring transparency and accountability, proper coordination among stakeholders for promoting the resettlement, disaster-resilient housing and infrastructure, and Khas land (government-owned land) to the displaced people can enhance their livelihood resilience.

While the usage of mobile financial services (MFSs) is increasing rapidly in developing countries, research on users' attitudes and behavioral intention to adopt MFS is limited. Thus, this study aims to investigate customers' attitudes and intentions to adopt MFS from a Bangladeshi perspective.

A mixed research design was employed to conduct this study. Data of 196 respondents were analyzed using partial least squares (PLS) path modeling. For the quantitative part, data collection was conducted using non-probability sampling through a structured survey questionnaire. A focus group discussion with ten MFS users from divergent backgrounds was conducted to validate the quantitative findings.

This paper integrated both the technology acceptance model (TAM) and innovation resistance theory (IRT) to validate the results. The authors found that perceived usefulness (PU), perceived ease of use (PEOU) and perceived trust (PT) positively contribute to customers' attitudes toward MFS adoption. Besides, barriers to acceptance had unfavorable effects on users' attitudes and usage intentions. Furthermore, a focus group discussion revealed valuable insights on the constructs used in this study.

The study results have implications for both MFS providers and researchers. The outputs and recommendations presented in this paper will encourage the MFS practitioners to stimulate users' attitudes and behavioral intentions by ensuring useful, easy to use, credible and risk-free mobile payment platforms.

This is one of the very few studies in Bangladesh that have taken a contemporary and emerging research topic, providing theoretical, methodological and practical contributions regarding the determinants and consequences of attitude toward using MFSs.

This integrative review was conducted to provide an overview of existing research on digital (in)equity and the digital divide in developed countries.

We searched academic and grey literature to identify relevant papers. From 8464 academic articles and 183 grey literature, after two levels of screening, 31 articles and 54 documents were selected, respectively. A thematic analysis was conducted following the steps suggested by Braun and Clarke and results were reported following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

The results showed that most articles and papers were either from Europe or North America. Studies used a range of research methods, including quantitative, qualitative and mixed methods. The results demonstrated four major dimensions of the digital divide among various vulnerable groups, including digital literacy, affordability, equity-deserving group-sensitive content and availability or access to infrastructure. Among vulnerable groups, low-income people were reported in the majority of the studies followed by older adults, racial and ethnic minorities, newcomers/new immigrants and refugees, Indigenous groups, people with disabilities and women. Most reported barriers included lack of access to the internet, digital skills, language barriers and internet costs.

To the best of our knowledge, there have been limited attempts to thoroughly review the literature to better understand the emerging dimensions of digital equity and the digital divide, identifying major vulnerable populations and their unique barriers and challenges. This review demonstrated that understanding intersectional characteristics (age, gender, disability, race, ethnicity, Indigenous identity and immigration status) and their interconnections is crucial for analyzing the dynamics of digital (in)equity and divide.

This paper aims to assess the impact of the training program on fish traders in building awareness about formalin abuse in food items.

Primary data was collected from the fish traders in Bangladesh by using simple random sampling technique. Binary logistic regression was used to assess the opinions of the fish traders about training in building awareness of formalin abuse.

This study showed that the training of the fish traders played a positive role in improving their awareness level of formalin abuse.

Enhancement of both training and educational support could be an effective strategy in preventing formalin abuse in food.

This study helps in assessing the opinions of the fish traders about the effectiveness of the training programs in building awareness of formalin abuse.

The incidence of prostate cancer is increasing from the past few decades. Various studies have tried to determine the survival of patients, but metastatic prostate cancer is still not extensively explored. The survival rate of metastatic prostate cancer is very less compared to the earlier stages. The study aims to investigate the survivability of metastatic prostate cancer based on the age group to which a patient belongs, and the difference between the significance of the attributes for different age groups.

Data of metastatic prostate cancer patients was collected from a cancer hospital in India. Two predictive models were built for the analysis-one for the complete dataset, and the other for separate age groups. Machine learning was applied to both the models and their accuracies were compared for the analysis. Also, information gain for each model has been evaluated to determine the significant predictors for each age group.

The ensemble approach gave the best results of 81.4% for the complete dataset, and thus was used for the age-specific models. The results concluded that the age-specific model had the direct average accuracy of 83.74% and weighted average accuracy of 79.9%, with the highest accuracy levels for age less than 60.

The study developed a model that predicts the survival of metastatic prostate cancer based on age. The study will be able to assist the clinicians in determining the best course of treatment for each patient based on ECOG, age and comorbidities.

Canada has a globally recognized universal health-care system. However, immigrants experience a number of obstacles in obtaining primary health care (PHC) that may differ within various communities due to the intersection of culture, gender and other identities. To date, no research has been done on the difficulties Nepalese immigrant women in Canada may face accessing PHC. The purpose of this study was to learn about their perceptions of barriers to PHC access and to share the findings with a wide range of stakeholders, including health-care providers and policymakers.

The authors conducted a community-engaged qualitative study in Calgary, Alberta, Canada. A total of six focus group discussions (FGD) among 34 participants (each FGD consisted of 5–7 participants) were conducted. The authors collected demographic information before each focus group. The FGDs were audio recorded and transcribed verbatim. The transcriptions were coded and analysed thematically.

The focus groups identified long wait times as a major barrier to receiving PHC services. Long wait times in emergency rooms, unable to see family doctors when they were sick, tedious referral procedures, long waits at the clinic even after scheduling an appointment, family responsibilities and work all impacted their access to PHC. Further, a lack of proficiency in English was another significant barrier that impeded effective communication between physicians and immigrant women patients, thus compromising the quality of care. Other barriers mentioned included lack of access to medical records for walk-in doctors, insufficient lab/diagnostic services, a lack of urgent care services and unfamiliarity with the Canadian health-care system.

Accessible PHC is essential for the health of immigrant populations in Canada. This study recognizes the extent of the barriers among a relatively less studied immigrant population group, Nepalese immigrant women, which will help effectively shape public policy and improve access to PHC for the versatile immigrant population fabric in Canada.

The purpose of this paper is to assess the impact of zakat fund on the food expenditure of the households to assess the impact of zakat fund on the agricultural production of the households and to assess the opinion of the zakat recipients on food security status under zakat program.

Samples were selected for this study using the simple random sampling (SRS) technique. A total of 149 households were selected from 196 households. A survey was conducted during January to March 2011 among the project beneficiaries using questionnaire. The ordinary least squares technique was used to assess the impact of zakat on food security status of the zakat recipients. Heteroscedasticity problem was detected in this study which was corrected using White's method. Logit model was used to assess the opinions of the zakat recipients on their food security status under the Hasana project.

This study shows that amount of zakat provided to the poor recipients failed to create any significant influence on their agricultural production, food expenditure and food security status. The study also shows that household income, family members’ involvement in agricultural activities and numbers of income-generating activities pursued by the households were the key determinants of households’ food consumption.

This study helps in assessing the opinion of the zakat recipients about the effectiveness of the zakat program on their living standard in terms of household agricultural production and food security and also assisting in policy planning for alleviating rural poverty in Bangladesh through the zakat system.

This research mainly intends to ascertain the stimulus of investor investment tendencies on the amount of capital investment in the share market.

Utilizing a sample of 477 individual investors who actively trade on the Bangladesh capital market, this empirical study was conducted. The objective of this examination is to ascertain the investment trading behavior of retail investors in the Bangladesh capital market using multiple regression, hypothesis testing and correlation analysis.

The coefficients of market categories, preferred share price ranges and investment source reveal negative predictor correlations; all predictors are statistically significant, with the exception of investment source. Positive predictive correlations exist between investor category, financial literacy degree, investment duration, emotional tolerance level, risk consideration, investment monitoring activities, internal sentiment and correct investment selection. Except for risk consideration and investment monitoring activities, all components have statistically significant predictions. The quantity of capital invested in the stock market is heavily influenced by the investment duration, preferred share price ranges, investor type, emotional toleration level and decision-making accuracy level.

This investigation was conducted exclusively with Bangladeshi individual stockholders. Therefore, the existing study can be extended to institutional investors and conceivably to other divisions. It is possible to conduct this similar study internationally. And the query can enlarge with more sample size and use a more sophisticated econometric model. Despite that the outcomes of this study help the regulatory authorities to arrange more informative seminars and consciousness programs.

The conclusions have practical implications since they empower investors to modify their portfolios based on elements including share price ranges, investment horizons and emotional stability. To improve chances of success and reach financial objectives, they stress the significance of bettering financial understanding, active monitoring and risk analysis. Results can also be enhanced by distributing ownership over a number of market sectors and price points. The results highlight the value of patience and giving potential returns enough time.

This study on the trading behavior of investors in Bangladesh is unique and based on field study, and the findings of this study will deliver information to the stakeholders of the capital market regarding the investors’ trading behavior belonging to different categories, financial literacy level, investment duration, emotional tolerance level and internal feeling.

This systematic review aims to synthesize the literature reporting the motives, sociodemographic, attitude/behavior and impacts of fake news during the COVID-19 pandemic, targeting the general population worldwide.

A systematic review approach was adopted based on PRISMA, targeting articles published in five databases from January 2020 to November 2021. The screening resulted in 46 eligible papers.

Results indicate low level of awareness, knowledge, media/health literacy, low trust in science/scientists and entertainment/socialization to be the main motivating drivers for fake news dissemination, whereas the phenomenon is more prominent among those with low socio-economic status, and males. Negative impacts were reported due to fake news dissemination, especially violation to precautionary measures, negative affections, and low trust in government/news, with many believing that others are more susceptible to fake news than themselves.

Considering the pandemic is still on-going and the deleterious consequences of fake news, there is a need for cohort-based interventions from the concerned authorities.

The systematic review covers a wide timeline of 23 months (i.e. up to end of 2022) targeting five well-known databases, hence articles examined are deemed extensive and comprehensive. The review specifically focused on the general population with results revealing interesting motives, sociodemographic profiles, attitude and impact of this phenomenon during the COVID-19 pandemic.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0082.

The garment factories focus on improving their production systems by involving innovative and advanced production methods and/or techniques to cope with fast-changing trends. Accordingly, this study aims to establish the standard allowed minutes (SAMs) and sewing efficiencies for Tanzania’s sewing industry, thus improving the production processes.

The research deployed a quantitative method. A stopwatch measured each operation for shirts and trousers to compute SAMs and efficiency. The shirt manufacturing processes involved 40 operations. Ten measurements were taken from different SL and LL industries operators for each operation. The trouser comprised 42 operations with 10 measurements taken from a different operator at the same garment factories for each operation.

SAMs for shirts at SL and LL factories were 29 and 31 min, respectively, while trousers were 30 and 34 min. The sewing efficiencies for shirts at both SL and LL factories were 83.98% and 81.93%, respectively. Similarly, the sewing efficiencies for trousers at both SL and LL factories were 81.25% and 80.95%, respectively.

Since SAMs results are not established through literature rather a quantitative approach, the findings thus place crucial information for similar factories to benchmark from. Such information are crucial as factories could increase productivity and operational efficiency, reduce costs and non-value adding activities and estimate lead times. Notwithstanding the findings gathered, the study only established SAMs for two garments.

Although the garment industry has been developing over the years, this study was probably among the first studies in Tanzania that established SAMs. Theoretical underpinnings indicate that the factories use the experience to assemble garments, thus the need for this study.

This study aims to investigate corporate governance mechanisms affecting environmental and social sustainability accounting practice (SAP). Four internal (quality of information technology [QIT], market orientation, business strategy and structure of accounting department) and two external (environmental uncertainty and market competition) governance mechanisms were examined.

The population of the study is comprised of 56 publicly listed manufacturing companies on the Mainboard of the Nigerian Stock Exchange. Data were collected using a questionnaire which was completed by senior finance personnel in each company in the sample. Structural equation modelling, logistic regression and quantile regression analysis were used to analyse data.

The results show that the extent to which Nigerian companies have implemented SAP is moderate. The authors find that the level of SAP implementation is significantly associated with market orientation and business strategy, but not with the QIT and structure of accounting department. The results also show that both external corporate governance mechanisms (i.e. environmental uncertainty and intensity of competition) have no significant effect on SAP.

The insignificant influence of external corporate governance mechanisms on SAP corroborates the contention that external pressure on companies to implement sustainability initiatives in developing countries is weak.

This study contributes to the literature on sustainability in developing countries and incrementally adds to knowledge on the corporate governance mechanisms driving SAP in jurisdictions characterised by lax regulatory framework and weak institutional apparatus on sustainability.

The purpose of this study is to investigate the impact of e-service quality and e-trust on customer e-satisfaction and, subsequently, on customer e-loyalty towards a website in the online shopping environment of Pakistan.

The research employed a quantitative approach and utilised structural equation modelling to investigate the relationship between e-service quality and e-trust on consumers’ e-satisfaction and e-loyalty. The data were collected from 250 individuals who actively use online shopping websites to purchase products in Pakistan.

The findings revealed that e-service quality and e-trust offered on e-commerce websites significantly impacted customer e-loyalty. However, it was found that both e-service quality and e-trust do not have a significant impact on customer e-satisfaction. In addition, the findings showed that customer e-satisfaction positively impacts e-loyalty.

Overall, these findings emphasise the importance of e-service quality, e-trust and customer e-satisfaction and their role in cultivating customer loyalty within the context of the online shopping environment in Pakistan.

This study contributes to the existing literature on online shopping in Pakistan by exploring the factors influencing consumer behaviour in this context. The findings add to the academic understanding of consumer behaviour and provide valuable insights for e-commerce businesses in Pakistan.

This study aims to investigate the effects of zakat and business assistance on the growth and well-being of mustahiqs (zakat recipients). This study also investigates the impact of macroeconomic variables on the welfare of mutahiqs.

The partial least squares-structural equation modelling method is used in this quantitative study, examining data from 137 mustahiqs. The data was collected from seven zakat institutions, which run effective zakat programmes to empower mustahiqs.

Zakat empowerment programmes and business assistantships positively impact the growth of mustahiqs’ businesses, beneficial to their well-being. Nevertheless, their well-being is unaffected by the proxy of the macroeconomy.

This study adds to the zakat literature by identifying the relationship between zakat, business growth, macroeconomic conditions and mustahiq welfare. Accordingly, this approach was made by combining primary and secondary data. This research offers a unique measure of welfare based on the concept of the Islamic objectives (Maqasid al-Shariah).

Human resources (HR) management has encountered unforeseen obstacles and issues in recruiting, retaining, training and developing workforces under the “new normal” due to pandemic circumstances followed by the Russo–Ukrainian War and global economic turmoil. As the world is now well-equipped with technological advancements and internet-based connectivity, many pandemic disruptions have been avoided through rapid adaptation of technological systems. Despite the constructive outcomes of this contemporary approach to learning and development (L&D), this study explores the further depths of massive open online courses (MOOC) platform adoption in human resource development initiatives during pandemic times.

A qualitative research approach was adopted to understand the employee and HR perspective on the changes in L&D approaches in organizations. To gather the primary data, respondents were divided into two clusters; different sets of questionnaires were developed for interview sessions.

Results suggest that employee L&D was much more improvised with distance or online learning, including organizational e-learning systems and MOOC platforms. To accomplish their HR development goals, organizations went through significant transformations during the Coronavirus pandemic; organizational attempts to initiate online training and MOOC-based learning fostered positive results in employee capacity development, process improvement, employee engagement and motivation.

This research will assist organizations in developing interactive training methods as an effective replacement for traditional training. Additionally, it will assist readers, practitioners and HR specialists in understanding how MOOCs are changing the L&D ecosystem.

This study aims to analyze the existing body of knowledge concentrating on institutional investors’ behavior. It seeks to track how this domain has evolved through collaborative networks, as well as significant contributors, themes and research opportunities for future work.

The present study applies bibliometric analysis to examine the trends in the selected research field, using 446 articles from highly recognized journals indexed in the Scopus database.

The authors discovered that research on institutional investors’ behavior has significantly increased over the past four decades due to academic interest in the topic. This study observed five themes that unite the research in this field: institutional investors and corporate behavior; determinants of institutional investors’ trading patterns and performance; trading activity and its outcomes; herding, causes and consequences; and institutional investment and corporate performance. Moreover, future directions are penned down, such as how institutional investors’ control influences governance disclosures.

This study serves as a guide by mapping and analyzing the intellectual development of the research literature on institutional investors’ behavior. The authors contribute to the knowledge base by providing a solid foundation for further studies.

There are two purposes to this study: first, to identify the status of ḥiyal (legal devices) in the offering of deposit products based on the tawarruq contract in the Malaysian Islamic banking industry and second, to identify the reasons for the widespread offering of tawarruq-based deposit products by Malaysian Islamic banks (IBs).

The study uses the qualitative method that involved interviews with Malaysian Sharī‘ah experts and Islamic banking operations experts.

The findings show that Malaysian IBs resolved to use the tawarruq munaẓẓam contract in deposit products due to several constraints in the existing banking system and in view of customer preferences.

This study solely focuses on tawarruq-based deposit products due to its extensive application in the Malaysian Islamic banking industry.

The implication of the study is that more stringent procedures are required in the offering of tawarruq-based deposit products as they are extensively utilised and have sparked controversy among Sharī‘ah scholars. Moreover, to retain Malaysia's Islamic banking reputation and trustworthiness, new and less controversial contracts must be developed.

This paper discusses the extensive usage of ḥiyal-based contracts such as tawarruq in Islamic banking institutions' deposit products, with justifications from Malaysian Islamic banking experts. The widespread use of the tawarruq munaẓẓam contract in deposit-based product offerings is based on a reasonable view considering the constraints that Malaysian Islamic banking is currently facing, with strict operation procedures by Bank Negara Malaysia to ensure real operations and to avoid fictitious elements. This paper reveals the use of tawarruq munaẓẓam in deposit products which allows the Islamic banking industry to operate effectively under Malaysia's dominant conventional banking system.

This study aims to investigate the impact of climate change risk disclosure (CCRD) on Corporate Value while exploring how corporate characteristics such as size, financial performance and leverage may moderate this relationship.

This research used a sample of 50 companies from the EGX100 index on the Egypt Stock Exchange, covering the years 2018–2022 (250 observations). For the first hypothesis, the authors use ordinary least squares regression, while for the other hypotheses, the authors use the PROCESS program developed by Andrew F. Hayes to analyze moderation.

The findings indicate a negative association between CCRD and corporate value. However, the extent of this influence can vary depending on the company’s characteristics. Specifically, CCRD negatively affects the value of small-sized, less profitable and highly leveraged corporates. Conversely, it positively impacts the value of large-sized, more profitable and less leveraged corporates.

The findings have significant implications for stakeholders in Egypt and similar developing countries. This significance stems from the substantial impact of CCRD on corporate value. CCRD can heighten investors’ perception of risk as a new risk factor, potentially leading to increased corporate risk. Therefore, CCRD is vital in identifying corporate value reflected in stock prices.

As far as we know, this is the pioneering study in Egypt to offer new evidence on how CCRD affects corporate value. It investigates the moderating role of corporate characteristics, such as corporate size, financial performance and leverage, in this relationship.

The purpose of this study is to integrate evidence on contributing factors, consequences, in addition to coping mechanisms of depression and anxiety in patients with heart failure.

An integrative review was conducted by searching three main electronic databases: Web of Sciences, MEDLINE and Science Direct. Twenty-four studies met the inclusion criteria and were included in the final review process.

The review identified the most common contributing factors, consequences and coping mechanisms of depression and anxiety in patients with heart failure. Patients with heart failure have high anxiety and depression prevalence rates.

It is recommended to include routine assessment and management of anxiety and depression in heart failure protocols to improve clinical outcomes.

In this study, the tri-bological behaviour of the un-coated and diamond coated tungsten carbide was evaluated using the pin-on-disc test rig. The same was also tested on a lathe machine tool. This paper aims to compare the tri-bological behaviour of coated tungsten carbide pin with un-coated tungsten carbide pin it also correlates the wear obtained from the two machines used.

Experiments were performed using L8 orthogonal array and results obtained on a pin-on-disc test rig under dry sliding process were optimized through a modern optimization technique i.e. genetic algorithm (GA). The response surface methodology model (L8 orthogonal array) formed the basis for the development of the GA model, which defines the conditions of minimum wear, minimum coefficient of friction and minimum surface roughness for the sliding process of the pin-on-disc test rig.

Implementation of the heuristic approach for optimization of input parameters for the combination of tool material used for the turning process. The initial approach involves tri-bological testing considering the same combination. The set of experiments further performed, inferred that the results were similar and that the diamond coating enhances the life of the tool.

Successfully synthesized the diamond coating on tungsten carbide tool material. Implantation of the heuristic approach, i.e. GA to tri-bological tests to identify the optimized level of input variables. Experimentation involves the tri-bological testing whose results were confirmed through performing experiments on the lathe machine tool.

This paper aims to identify the impacts of sociodemographic covariates on behavioural biases (BB) scores; the psychometric evidence of the BB measurement instruments; and the main BB that influences the decision-making of individual investors.

Papers were retrieved through search using keywords in ten databases. This systematic review is based on 69 peer-reviewed papers, most of which were published between 2017 and 2021. The relevance of the included papers was assessed through the analysis of statistical/psychometric methods used, and content analysis of the BB literature and its sociodemographic correlations.

Overconfidence is higher in men and not related to age. There was no consensus regarding the relationship between BB and other sociodemographic variables. Most measuring instruments are ad hoc, showing ≤ 4 types of psychometric evidence and assessing ≤ 9 BB. Therefore, the findings demonstrate that there is no gold standard instrument for measuring investors’ BB. Furthermore, 37 BB were cited as influencers of individual investors’ decision-making and overconfidence, herding, anchoring, representativeness and loss aversion were the most prevalent.

Considering that very few systematic reviews have been published in the behavioural finance area, this paper highlights the current state-of-the-art and identifies significant gaps in the literature that can be explored by further research.

To the best of the authors’ knowledge, this is the first systematic review that analyses the psychometric properties of instruments used for individual investors BB assessment.