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The purpose of this paper is to compare energy and macro‐nutrients intake in university hostel students in two countries of Asia.

Female students from the hostels of International Islamic University, Malaysia (IIUM), Kuantan Campus and NWFP, Agricultural University Peshawar, Pakistan were assessed for energy and macro‐nutrients intake. A total of 140 students were registered who volunteered to participate in this study. The age range of the registered students was 22‐26 years. On the day of the registration, age, height and weight were recorded; also, food frequency questionnaires (FFQs) were provided. The participants were asked to record alternately for three days whatever they ate during the prescribed week. Out of 140 students 139 returned the FFQs. From the anthropometry, the BMI was used to assess the under, ideal, over‐weight and obese students. From the FFQs, energy and nutrient intakes were calculated using the food composition tables for Malaysia and Pakistan and compared with the recommended nutrients intakes (RNIs).

The body weight for the required height among the Malaysian students was lower by 7.81 per cent than the reference value, whereas the body weight of Pakistani students matched to the reference weight for height. The Malaysian students were 28.0, 61.0, 5.5 and 0.9 per cent under, ideal, over‐weight and obese, respectively, whereas Pakistani students were 100 per cent in the category of ideal‐body weight. The total energy consumption was higher among Malaysian students by 9.93 per cent compared to the reference requirements, whereas the Pakistani students claimed to meet the requirements. In terms of nutrients balancing the Malaysian students were having the ideal combination of the macro‐nutrients and it was within the recommended range of 55‐60, 15‐20 and 25‐30 per cent for carbohydrates, protein and fat, respectively; whereas the balancing of the macro‐nutrients was poor among the Pakistani students and met the energy requirements at the expense of fat consumption.

The paper suggests that there is imbalance in macro‐nutrients intake among the students.

The purpose of the proposed model is to assist the e-business to predict the churned users using machine learning. This paper aims to monitor the customer behavior and to perform decision-making accordingly.

The proposed model uses the 2-D convolutional neural network (CNN; a technique of deep learning). The proposed model is a layered architecture that comprises two different phases that are data load and preprocessing layer and 2-D CNN layer. In addition, the Apache Spark parallel and distributed framework is used to process the data in a parallel environment. Training data is captured from Kaggle by using Telco Customer Churn.

The proposed model is accurate and has an accuracy score of 0.963 out of 1. In addition, the training and validation loss is extremely less, which is 0.004. The confusion matric results show the true-positive values are 95% and the true-negative values are 94%. However, the false-negative is only 5% and the false-positive is only 6%, which is effective.

This paper highlights an inclusive description of preprocessing required for the CNN model. The data set is addressed more carefully for the successful customer churn prediction.

The complexity of projects has become a serious issue and obstacle in their successful completion. In order to overcome these complexities, it has become imperative to identify the relevant management competencies of project managers. The purpose of this paper is to address the problem of cost, time and scope in engineering infrastructure projects due to their complexities through management competencies.

In the first phase of the study, 32 experts were interviewed through semi-structured pre-tested questionnaire. In this phase, essential elements of complexities were identified initially. This was followed by finding required dimensions of competencies to counter these complexities and to acquire improved performance. In the final stage, required levels of competencies for specific elements of complexity were identified. In the second phase, 85 “project managers” were also approached to get feedback about their recently completed public sector engineering infrastructure projects in Pakistan.

The study identified additional dimensions, i.e. honesty, enthusiasm and dedication, in the case of competencies and adverse law and order situation, political instability, land issues, energy crisis and weak authorization of project managers in the case of complexities. Leadership, management skill, communication skill, effectiveness and result orientation were identified as top quality traits required. The study concluded that there is a significant impact of management competencies and complexities on project performance.

The study contributes to a better understanding of how to improve performance in complex engineering infrastructure projects through adopting management competencies. It also empirically illustrates the relations among project management competencies, complexities and project performance. Although the research is grounded on public sector infrastructure projects, its findings may also be helpful for practices in project management of other sectors.

Sustainable energy like renewable energy plays a critical role in achieving sustainable development goals including energy security in emerging economics. BRICS (Brazil, Russia, India, China and South Africa) constitutes about 23% of the world’s GDP, 40% of the world’s population and 36% share of the supply of primary energy in the world. Obviously the Bloc has tremendous potential in influencing the global sustainable clean energy transition with the advantages like lowering the costs of renewable, boosting employment in the sector of green energy, enhancement of energy security and improvement of local air quality. Despite the existence of varieties of renewable energy resources in the BRICS economies, renewable energy resources are found underdeveloped. The major objectives of this chapter are to assess progress of different forms of energy especially renewable energy, impact of development of renewable energy on carbon emission and policy issues in renewable energy development in the context of sustainable energy development of BRICS countries.

This study explores the mechanism by which intellectual capital (IC) [i.e. human capital (HC), structural capital (SC) and relational capital (RC)] influences small and medium-sized enterprise (SME) efficiency in the presence of business model innovation (BMI) as a mediator.

Data collection is conducted through a survey completed by 319 owners and top managers of SMEs operating in the manufacturing sector in three cities in Pakistan. A simple random sampling method is used. A structural equation modeling artificial neural network (SEM-ANN)-based approach is applied to evaluate the role of IC predictors. The mediation results are authenticated using PROCESS.

The results indicate that HC, SC and RC significantly influence SME efficiency and BMI. Furthermore, BMI fully mediates the relationship between human capital and SME efficiency, while partially mediating the relationship between structural capital and SME efficiency, as well as between SC and SME efficiency.

This study pioneers research into the link between IC and SME efficiency. It contributes to the literature by defining IC as an antecedent of SME efficiency. It further contributes to the literature by defining IC as an antecedent and BMI as an intervening variable of SME efficiency.

The purpose of this study is to investigate how digital platforms capability, improvisational capability and organizational readiness directly affect innovation performance. This study also explores how organizational readiness acts as mediator.

This empirical study is based on quantitative research design. Data were collected from 647 managers of small and medium enterprises (SMEs) working in Pakistan. Correlations and regression techniques were used for analyses. The Preacher and Hayes technique, the Sobel test and Bootstrap techniques were used to test mediation effect.

The results reveal a significant and positive relationship of digital platforms capability, improvisational capability and organizational readiness with innovation performance. Organizational readiness fully mediates the relationships between digital platforms capability and innovation performance link as well as between improvisational capability and innovation performance link.

In the age of digital economy the achievement of innovation performance is very important for SMEs. Businesses are shifting from traditional operational activities to digitalization. This study is imperative to offer new realm of modern technologies by exploring the role of digital platform capability, improvisational capability and organizational readiness for achieving innovation performance in digital economy.

The purpose of this study is to investigate employee trust in the leader as the underlying mechanism between transformational leadership and employees’ organizational identification and their continuous improvement efforts.

Survey data were collected from 282 employees, working in 8 different private and public sector organizations from the banking, higher education, telecommunications and health sectors in Pakistan. Structural equation modeling was used to test the study hypotheses.

The results support the hypothesized relationships showing that trust in the leader partially mediates the relationship of transformational leadership with organizational identification and continuous improvement efforts.

This study relied upon cross-sectional data, which does not satisfy the conditions to establish causality.

The results of this study will help organizations and practitioners to understand the importance of trust between transformational leaders and followers, which ultimately results in higher organizational identification and continuous improvement.

Using the broader framework of social exchange theory (Blau, 1964), this study contributes to the extant employee – organization relationship literature by proposing and testing trust in the leader as an underlying psychological mechanism that can explain the impact of transformational leadership on employees’ organizational identification and their continuous improvement efforts.

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.

Employee knowledge is an essential contributor to managing supply chain ambiguities and supply improvement. The current research examined green technology (GT) implementation and knowledge management (KM) processes toward knowledge worker supply performance (KWSP). The present study postulates that GT implementation's positive impacts on the KM process and KM process lead to improved KWSP based on employee knowledge contribution.

To accomplish the research objective, the data were taken from those production houses that are utilizing GT. A total of 400 questionnaires were distributed in Zhengzhou city, and feedback was received (343). The feedback data were studied through partial least squares-structural equation modelling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA). fsQCA is used to analyze improving the multiple configurational paths of KWSP.

The study revealed that GT implementation is positively associated with the KM process, and KM processes substantially influence the improvement of KWSP. The consequence of fsQCA demonstrated that various combinations improve supply chain performance. The study combines certain dimensions of GT implementation with the KM process, revealing that supply chain performance improved based on knowledge sharing in manufacturing firms.

This study guides decision-makers and academics on using the knowledge process associated with GT to improve supply chain performance. Moreover, future researchers should use information technology in supply houses and compare the result with the literature to generalize the results better.

The asymmetric technique assists in differentiating the connections that are not directly investigated by the traditional symmetric method. The study covers and identifies various approaches that can be used in manufacturing firms to improve the supply chain process and employee satisfaction. The study combines the two techniques to understand supply performance based on knowledge sharing in manufacturing firms.

The adoption of Islamic banking (AIB) among customers has remained in the limelight due to its significance in the strategic marketing of Islamic banking (IB) services. Although researchers have devoted a significant effort to investigating the drivers of AIB, little is known about the exclusive barriers hampering AIB. Accordingly, this paper aims to examine the underlying barriers to the adoption of Islamic banking (BAIB) and categorize them into different research clusters using bibliometric analysis.

The data was collected from 132 articles published in Scopus database between 2007 and 2022 and analyzed using VOSviewer to explore BAIB.

The findings clustered the barriers to AIB into three groups, namely, efficiency of IB products and services (service quality, Shariah compliance level, availability of services), behavioral (knowledge and awareness, religiosity, trust and intention) and personal attributes (innovativeness, understanding of mobile/internet banking and technology acceptance) factors of Islamic bank customers.

The sample size of this study is relatively small, as the data was imported from Scopus database only to perform Bibliometric analysis. Future studies may use larger sample size by retrieving data from other databases such as Web of Science and PubMed to develop better research clusters of BAIB.

The dynamic business environment and unprecedented changes in consumer behavior require managers creating suitable conditions to foster adoption of their services and capture a better market share.

Following the findings of this research, future research avenues are identified for strategic embeddedness and global development of IB by overcoming BAIB.