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The purpose of this paper is to evaluate the effect of the planned pre-electroconvulsive therapy (ECT) family teaching on depression, anxiety and stress of caregivers of patients with mental disorders receiving ECT.

In this quasi-experimental study, 130 participants were randomized allocated into intervention or control groups. The planned family teaching program consisted of four 90 min sessions held during four weeks. Assessments occurred at pre-intervention (one week before the first session), and post-intervention (one months after the four session). Data were collected using demographic questionnaire and Depression, Anxiety and Stress Scale (DASS-21). Mean comparisons were performed using Student’s t-test while effect sizes were estimated by Cohen’s d coefficient. The significance level was considered less than 0.05.

The mean scores of the depression, anxiety and stress levels in the intervention group were significantly reduced compared to the control group (p=0.001).

The family pre-ECT teaching intervention and counseling decreased the depression, anxiety and stress level of family caregivers of patients with mental disorders receiving ECT and the maintenance of other favorable conditions at baseline. These results suggest that even a short-term educational intervention for family members of patients received ECT can improve emotional outcomes of treatment in the family.

This study aims to examine the three dimensions of market orientation, namely, customer orientation, competitor orientation and inter-function coordination, which influence the accountability in the financial and social performance of tourism operators in large touristic cities.

In total, 95 usable questionnaires as the required data were collected from the top managers of four- and five-star hotels in Iran.

Partial least squares (PLS) results confirm that customer orientation and inter-function coordination influence both the financial and social performance of the hospitality sector yet reveal that competitor orientation has no significant relationship with social performance.

These findings not only highlight the compatibility of PLS with various forms of statistical analyzes but also furthers the current understanding of hospitality networks in megacity economies, where literature are scarce.

The findings of this study can help policymakers, tourism associations and practitioners enhance the accountability and sustainable financial and social performance of the hospitality industry in megacities. This study proposes some unique measurements for the social and financial performance of the hospitality sectors.

The paper states some new measurements for the social performance of the hospitality sectors. In addition, measuring the impacts of market orientation on the financial and social aspects of hotels is totally unique.

This study aims to evaluate the current practices conducted based on in-depth interviews with 16 Amanah Ikhtiar Malaysia (AIM) medium-level managers who were selected randomly, including branch managers and operational officers. All of the interviewees have two characteristics; they face customers directly and influence their decision-making.

Based on the findings of this study, AIM has a high level of customer orientation and inter-function coordination and a middle level in competitor orientation.

This paper initially presents the definition of a unique concept, namely, Islamic market orientation, which is defined based on the incorporation of Islamic concepts and market orientation by discussing the characteristics of Islamic market-oriented organisations. Then, an empirical discussion for evaluating market orientation in a microfinance provider is presented. The paper uses the synthesis of different real positions for developing discussions on whether AIM is following market orientation strategies, and, if so, at which level it is located from each dimension’s point of view.

This study examines whether corporate governance enhances the financial and social business performance of three-to five-star hotels in Western Australia (WA) through the three dimensions of market orientation (i.e. customer orientation, competitor orientation and inter-function coordination) as mediators.

Data were collected from managers of hotels in the WA capital city of Perth and its surrounding areas using a questionnaire. Partial least squares structural equation modelling (PLS-SEM) was used to analyse the data.

The overall result shows interesting findings of market orientation’s mediating role. It is found that corporate governance may lead to better financial business performance through competitor orientation but not through customer orientation and inter-function coordination. Complementary, corporate governance may lead to better social business performance through customer orientation and inter-function coordination but not through competitor orientation.

This paper offers contributions to both literature and practice on what dimensions of market orientation are important to enhance the performance of hotels when corporate governance is applied.

Since the appearance of COVID-19 social distancing and staying home have been recommended repeatedly by the governments for disease prevention. As the challenge continues to remain the current study seeks to examine the factors affecting social distancing through space planning and management. More specifically the current study aims to examine the appropriateness of the spatial organization and space configuration of a clubhouse with a linear plan layout in the mitigation of the spread of infections due to serious pandemic COVID-19.

For an enhanced understanding of the impact of spatial arrangements of public spaces plan on the effective implementation of social distancing this study has used the space syntax analysis method. The MPSP clubhouse building in Penang, Malaysia was selected as the case study. The level of permeability and wayfinding were determined in the building plan and were illustrated using photoshop software to depict the interrelation between the indoor spaces and building circulation. Graphs of the depth of space were used to analyze the level of permeability and wayfinding to illustrate the possibility of social distancing in the plan.

The result of the study shows the significant role of proper plan layout design on social distancing. While clear and direct wayfinding can positively be associated with more effective social distancing, the inefficient design of user access, inappropriate locations of multiple entry and exit and indefinite directions of users' inside buildings can impose slight limitations. The average level of permeability might suggest ineffective spatial arrangement, ignoring the needs of spatial segregation. The study further found that the linear plan layouts with proper zoning and effective management strategies can be considered a proper layout to facilitate social distancing and the spread of COVID-19.

The current study is unique in terms of examination of the spatial configuration of linear public spaces plan layout for possible temporary adaptability to curb disease spread during the unexpected advent of a pandemic. Based on researchers' best of knowledge it is the first time that the impact of recreational space design on social distancing has been examined. The study also originally sheds light on the fact that the commonly used guideline for the social distancing of 1–2 m between 2 persons, in reality, is practically inadequate given the nature of the sports activities.

This paper aims to expose the direct and indirect impacts of changing culture and society principles on the built environment, architectural scene and practice. Studying culture-architecture forceful formula in present-day Iraq, as not previously discussed, reveals how cultural shift affects the public image of architectural form, uses and activity system, thus how latter issues highlight or predict society deterioration or collapse.

Comparing and analysing past and contemporary works, highlighting strange values emerged later, personal survey and observing house forms, in-depth interviews, photos and architectural drawings are a set of methodological tools used in approaching research main objective.

Findings include two mutual systematic approaches. The first is to define, acknowledge and understand previous criteria, while the second is to disclose responsible authorities and institutions and their role in addition to necessary procedures to correct or minimize the impact of various changes on the contemporary architectural situation.

Contemporary Iraqi society and culture have been dealt with as distorted and destructive, where various unacceptable values describe its current image compared to the noble form of the inherited. As a true expression and a visible manifestation of culture with which it interacts, degraded architecture and urbanism in contemporary Iraq provide an accurate picture of the current state of society, its values, principles and beliefs.

In the previous study of financial distress prediction, deep learning techniques performed better than traditional techniques over time-series data. This study investigates the performance of deep learning models: recurrent neural network, long short-term memory and gated recurrent unit for the financial distress prediction among the Malaysian public listed corporation over the time-series data. This study also compares the performance of logistic regression, support vector machine, neural network, decision tree and the deep learning models on single-year data.

The data used are the financial data of public listed companies that been classified as PN17 status (distress) and non-PN17 (not distress) in Malaysia. This study was conducted using machine learning library of Python programming language.

The findings indicate that all deep learning models used for this study achieved 90% accuracy and above with long short-term memory (LSTM) and gated recurrent unit (GRU) getting 93% accuracy. In addition, deep learning models consistently have good performance compared to the other models over single-year data. The results show LSTM and GRU getting 90% and recurrent neural network (RNN) 88% accuracy. The results also show that LSTM and GRU get better precision and recall compared to RNN. The findings of this study show that the deep learning approach will lead to better performance in financial distress prediction studies. To be added, time-series data should be highlighted in any financial distress prediction studies since it has a big impact on credit risk assessment.

The first limitation of this study is the hyperparameter tuning only applied for deep learning models. Secondly, the time-series data are only used for deep learning models since the other models optimally fit on single-year data.

This study proposes recommendations that deep learning is a new approach that will lead to better performance in financial distress prediction studies. Besides that, time-series data should be highlighted in any financial distress prediction studies since the data have a big impact on the assessment of credit risk.

To the best of authors' knowledge, this article is the first study that uses the gated recurrent unit in financial distress prediction studies based on time-series data for Malaysian public listed companies. The findings of this study can help financial institutions/investors to find a better and accurate approach for credit risk assessment.

Leaders have been facing serious challenges in managing organizations during COVID-19, which has brought the need for implementing sudden technological change across the globe. Hence, it was important to identify effective leadership styles to successfully manage the transformational process during the period. Therefore, the current study aims to explore and compare the effectiveness of transformational and ethical leadership (EL) in terms of achieving organizational goals during COVID-19 in public and private sector organizations in Pakistan.

Comparative research was carried out to find out the effectiveness of transformational and EL during and pre-COVID-19 in public and private sector organizations using the lens of social exchange theory. Data was collected from 214 respondents representing 67.6% of public and 32.4% of private sector organizations of Pakistan at two different points in time. Detailed comparative analyses were conducted in AMOS version 24 to assess the effectiveness of leadership styles before and during COVID-19 times.

On the whole, transformational leadership (TL) was found to have a greater impact on organizational effectiveness (OE) in comparison with EL in both pre-and during COVID-19 situations. Moreover, the effectiveness of TL significantly increased and the same decreased for EL during COVID-19. Additional analyses indicated that TL was effective for the private sector and EL for public sector organizations during COVID-19.

The study has not considered the mediating mechanisms of employee motivation, engagement and performance in the relationship between transformational and EL styles and OE, which can be explored in the future.

These results have important implications for private and public sector organizations and suggest that the adoption of a TL style will generate better results in the private sector and an EL style in public sector organizations to achieve OE in uncertain situations such as COVID-19.

The study shows that leadership with more care and concern for humanity tends to perform better in terms of generating results for OE. Therefore, both transformational and EL are based on individualized consideration for employees and are effective during COVID-19 in private and public sector organizations in Pakistan.

The study has carried out the comparative analyses in three different ways, including leadership styles (transformational and ethical), type of organization (private and public) and time frames (pre and during COVID-19), which is a true contribution of the research in the Pakistani context.

This paper aims to focus on the different types of insider-led cyber frauds that gained mainstream attention in recent large-scale fraud events involving prominent Indian banking institutions. In addition to identifying and classifying cyber fraud, the study maps them on a severity scale for optimal mitigation planning.

The methodology used for identification and classification is an analysis of a detailed literature review, a focus group discussion with risk and vigilance officers and cyber cell experts, as well as secondary data of cyber fraud losses. Through machine learning-based random forest, the authors predicted the future of insider-led cyber frauds in the Indian banking business and prioritized and predicted the same. The projected future reveals the dominance of a few specific cyber frauds, which will make it easier to develop a fraud mitigation model based on a victim-centric approach.

The paper concludes with a conceptual framework that can be used to ensure a sustainable cyber fraud mitigation ecosystem within the scope of the study. By using the findings of this research, policymakers and fraud investigators will be able to create a more robust environment for banks through timely detection of cyber fraud and prevent it appropriately before it happens.

The study focuses on fraud, risk and mitigation from a victim-centric perspective and does not address it from the fraudster’s perspective. Data availability was a challenge. Banks are recommended to compile data that can be used for analysis both by themselves and other policymakers.

The structured, sustainable cyber fraud mitigation suggested in the study will provide an agile, quick, proactive, stakeholder-specific plan that helps to safeguard banks, employees, regulatory authorities, customers and the economy. It saves resources, cost and time for bank authorities and policymakers. The mitigation measures will also help improve the reputational status of the Indian banking business and prolong the banks’ sustenance.

The innovative cyber fraud mitigation approach contributes to the sustainability of a bank’s ecosystem quickly, proactively and effectively.