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This study aims to explore the dynamic interplay between employee resilience (ER) and learning organisations, specifically examining the mediating influence of psychological empowerment (PE).

Drawing on responses from 208 participants working in the United Arab Emirates, we used regression analysis with bootstrapping to scrutinise the data.

The results unveil a positive correlation between ER and learning organisation. Furthermore, PE is found to mediate this relationship.

In practical terms, organisations are urged to prioritise the cultivation of ER and the establishment of an environment fostering PE. Such initiatives contribute to a culture of continuous learning within the organisation and equip it with the adaptability needed to navigate new challenges.

This research contributes to a deeper comprehension of the importance of ER highlighting its positive effect on both organisational learning and PE.

This study aims to investigate the combined use of System Dynamics (SD) applications in Enterprise Engineering (EE) research and practice. SD application in EE is becoming widely accepted as a tool to support decision-making processes and for capturing relationships within enterprises.

A systematic literature review (SLR) is conducted using a standard SLR method to provide a comprehensive review of existing literature. The search was conducted on ten platforms identifying 30 publications which were analysed through the use and development of a codebook.

The SLR showed that 90% of the result set consisted of peer-reviewed academic conferences and journal papers. The SLR identified a highly dispersed author set of 83 authors. Amongst these authors, Vinay Kulkarni was an active author who has co-authored up to four publications in this research area. The analysis further revealed that the combined use of SD applications and EE is an emerging research area that still needs to develop in maturity. While all phases of EE have received attention, the current research work is more focused on the design phase. The important gap between model development and implementation is identified.

The study elucidates the existing status of interdisciplinary research combining techniques from the SD and EE disciplines, suggesting future research topics that combine the strengths of these existing disciplines.

The growing demand for housing and infrastructure, as well as the requirement for affordable housing, has been a significant factor, necessitating investigation for sustainable approaches and implementation of alternative construction innovations. Hence, this study aims to identify and assess the drivers for implementing modular construction systems (MCS) in developing countries.

The study adopts a quantitative research approach to seek respondents’ opinions on the factors that can drive the implementation of MCS in developing countries. Accordingly, a structured questionnaire was used as an instrument of data collection based on five Likert scales. The data was analysed using the mean score, one sample t-test, Kruskal–Wallis, factor analysis (FA) and Pearson correlation analysis.

Results show that 15 of the 16 major identified drivers were statistically significant towards implementing MCS, which indicates that the drivers are crucial for implementing MCS in developing countries. However, the Kruskal–Wallis test reveals that the respondents have varying opinions on the identified drivers. FA categorised the drivers into four categories, namely, “management and sustainability”, “key performance”, “know-how and logistics” and “regulations and policies”. A strong relationship among the four categories of drivers was established using Pearson correlation, which indicated that all the drivers’ categories are essential for implementing MCS in developing countries.

This study identified and assessed the drivers towards implementing MCS in developing countries. The study concludes that the identified drivers are essential for implementing MCS in developing countries. Also, the study considers the government the most placed player in driving the implementation of MCS in developing countries.

This study aims to analyze both technical efficiency and allocative efficiency per input within the banking sector, focusing on the interplay among Islamic banks, conventional banks and conventional banks offering Islamic Banking Services (CBIBS). It also investigates the impact of competition on these efficiencies.

Using data from 37 Islamic banks, 38 CBIBS and 126 conventional banks across 14 countries in the MENA region and Southeast Asia over the period 2002–2022, the authors applied a stochastic frontier production model with first-order conditions, a two-step system generalized method of moments estimator and the Tobit model for robustness checks.

The findings indicate that Islamic banks demonstrate the highest technical efficiency, whereas CBIBS exhibit the lowest. Despite this, Islamic banks encounter significant challenges in allocative inefficiency, particularly in managing financial capital, which adversely affects their cost efficiency. Interestingly, competition enhances the allocative efficiency of financial capital in conventional banks and CBIBS but diminishes it in Islamic banks. Furthermore, control variables show varied impacts on efficiencies across different banking categories.

These findings emphasize the need for collaboration between regulators and researchers to develop an efficiency measurement method that integrates financial, ethical and social aspects. It also highlights the importance of aligning banking with ethical financing practices and innovating products that optimize resource allocation, thereby enhancing both financial and ethical performance.

To the best of the authors’ knowledge, this paper is the first to analyze the allocative efficiency per input for the three categories of banks: Islamic, conventional and CBIBS, while highlighting the variety of competition effects.

This study aims to examine the relationships among structured-on-the job training (ST), mentoring, job rotation and the work environment factors on tacit knowledge transfer from training.

This study used quantitative research techniques to examine the causal relationships among the key study variables. A questionnaire-based survey has developed to evaluate the research model by drawing a convenience sample includes 239 employees working in the Arab Potash Company located in Jordan. Surveyed data were examined following the structural equation modeling procedures.

The results revealed that adapting of the ST, mentoring and job rotation in industrial firms had direct effect on the employees’ abilities to learn and transfer tacit knowledge from training to the actual work, and how these learning strategies strengthen employees’ abilities in solving work problems, improving customers’ satisfaction and quality of products and services. As well as, it affirmed the strong direct effect of work environment factors such as supervisor and peer support on the employees’ abilities to learning and transferring tacit knowledge to their jobs. However, this study showed that work environment factors have no significant mediating role on the relationship among ST, mentoring, job rotation and the employees’ abilities to learn and transfer tacit knowledge to their jobs.

The study results are opening the doors for future studies to examine the relationships among the methods of training and learning in the workplace, the work environment factors and tacit knowledge transfer from training to the jobs as prerequisites for improving the employees and organization performance. These results would be validated by conducting future research, examining larger samples of industrial companies to give more accurate data and clear explanations to the relationships among the study variables. It also suggests to replace the characteristics of work environment (supervisor support and peer support) by trainees’ characteristics (self-efficacy and career commitment) to give a better understanding to the relationships among the key study variables.

With regard to improving the employees’ competency while doing their jobs, this study developed a conceptual framework that guides managers to recognize the importance of ST, mentoring and job rotation in increasing the employees’ learning together; and giving them the chance to use the new learned experiences and knowledge to improve the organization performance and its competitive advantage. This study helps managers build a positive work environment that encourages social interaction, respect and mutual interest among employees, and increases their sense of responsibility for learning and transferring skills and knowledge to the jobs.

The training methods in the workplace go beyond immediate work performance to act as a promising tool make employees’ learning more easily and faster, and help them to transfer and retain new skills and knowledge, adapt with changing environments, build stronger relationships with stakeholders and at the same time, make the organizations ensure that employees comply with their societal goals.

The authors have noticed that large portions of the studies on training and human resources development neglected the role effect of (ST, mentoring and job rotation) on the tacit knowledge transfer from training to the jobs. Hence, these gaps in researches have motivated to develop a theoretical model that helps to examine the relationship between the two constructs. This study also suggests to examine the mediating role effects of work environment factors on the relationships among (ST, mentoring and job rotation) and tacit knowledge transfer, as well as it extends to examine the mediating role of work environment factors on transferring knowledge to jobs, attributed to the demographic variables such as gender, age, work experience and education level.

The research proposes a customised framework for improving logistics service quality (LSQ) in Tanzania's railway transportation, focusing on customer engagement and integrating customer-desired services.

The survey method obtained data from railway customers regarding the LSQ offered. Both probability and purposive sampling techniques were used to get the sample size. The open- and closed-ended questionnaires gathered the pertinent data. The data were analysed qualitatively and quantitatively using the IBM® SPSS® 21.0 and AMOS 21.0 software packages, respectively. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were performed to analyse data and establish relationships between variables.

This study anticipated that the LSQ framework during the period of reviewing literature included three variables for freight transporting customers (tangible components, ways of fulfilment and information actions) and eight variables for passengers (tangible, reliability, assurance, responsiveness, comfort, empathy, connection and convenience). EFA and CFA dropped some factors. The retained factors were used as inputs to develop a framework. The qualitative analysis also established the improvement of customer’s desired services (CDS) and LSQ, which were the framework's processes for improving the LSQ. Ultimately, the study developed the LSQ framework for railway transportation.

The study was conducted on Tanzania’s railways, which incorporated challenges in the Tanzanian context. However, many challenges in the developing countries are relatively the same. Therefore, modifications can be made to adopt the developed framework and be used in other countries to cover the geographical and other challenges in particular countries.

Tanzania’s railway infrastructures are somehow not fully utilised to meet the actual needs of the transportation sector. For example, one of the railway companies has a built capacity of 4 million tonnes carrying capacity per year, but the actual cargo transported by the railway is 200,000 tonnes. This comes from several challenges within the railway companies, including the quality of their services, thus leading to a need to develop a LSQ framework.

This study aims to explore the country’s contribution to research on halal food small- and medium-sized enterprises (SMEs) taken from the Scopus database for 10 years from 2013 to 2022 so that it can provide an overview of the effort that needs to be made by the government to improve research in this field.

The method used in this study was bibliometric analysis. The data comes from the Scopus database over the past 10 years (2013–2022). To create data visualization and network analysis using VOSviewer, Scimago Graphica, Bibliometrix and MS Excel.

Research on halal food SMEs has grown by almost 25%, with Malaysia leading with 447 publications. The UK is the leading country in publishing research articles with 44 journals. Malaysia has the most institutions (40 institutions for 25% globally). Malaysia has most research funding agencies (22 for 14% globally). Malaysia has the highest number of citations in halal food SMEs, with 3547 citations, followed by China and Indonesia. Malaysia has also the highest number of collaborating researchers and the most invitations. Future research focuses on sustainability, social issues, Internet of Things technologies, innovative technologies and strategies to increase productivity and competitiveness.

This research is a reference and overview of future research in halal food SMEs with the perspective of a country contribution angle. It provides input to the government on what needs to be done to develop research in the halal field in line with the goal of a country becoming the center of the global halal industry.

This research aims to examine the relations between Shariah compliance and earnings quality.

The authors study three Shariah features: Shariah compliance status, level of Shariah compliance (H-Score) and Shariah compliance persistence. The sample consists of 463 firms from the Middle East and North Africa from 2011 to 2018. A variable determining the level of Shariah compliance was created in accordance with the methodology of S&P 500 Shariah and its underlying index, S&P 500. Then, a probate relapse study was created to identify the link between Shariah compliance and earnings quality.

Results show that Shariah-compliant firms engage in lower earnings management compared to their Shariah-non-compliant counterparts. This paper reveals that Shariah compliance status and high level of Shariah compliance have significant positive association with earnings quality. The authors also find novel evidence that persistence of the Shariah-compliant status has a significant negative association with earnings quality.

This study only examines firms listed on MENA stock markets. It is recommended to further study different markets in addition to the emerging Arab markets in order to compare and contrast the results. Further, larger sample observations from a greater date range can be used.

Few studies have examined the earnings management behavior of Shariah-compliant firms vs Shariah-non-compliant ones in emerging markets; however, no study has focused on Shariah-compliant firms and their level of Shariah compliance. To the best of our knowledge, this is the first study which uses all four proxies for earnings quality in association with Shariah compliance and used new Shariah variables such as Level of Shariah Compliance and Persistent Shariah Compliance status.

This study used post-occupancy evaluation (POE) to assess the performance and effectiveness of student housing by examining occupants’ satisfaction with the facility across three performance elements: technical, functional and behavioral. This study aims to address a significant gap in the existing research concerning the POE of university student housing facilities, particularly in understanding how well these facilities fulfill occupant needs across the aforementioned three elements.

This study assesses the existing literature, examines the dormitory’s physical parameters through walkthrough inspections and measures occupant satisfaction through surveys and focus group sessions. The study analyzed questionnaire responses using a four-point Likert scale, using Microsoft Excel software to determine the weighted average response for each performance element.

The analysis indicated that students were satisfied with most housing condition parameters. However, noise management, lighting control, air circulation, washroom facilities, cleanliness, power sockets for equipment and several study rooms and furnishings require improvement to enhance student well-being and performance.

This study provides significant information to aid in making informative decisions on building maintenance, retrofitting and facility upgrading. It also contributes to enhancing the field’s knowledge about POE in student housing facilities. It emphasizes the importance of using physical building attributes and user-centric features to fulfill students’ needs and expectations regarding facilities.

In this research, we seek to understand the effects of artificial intelligence (AI) and knowledge management (KM) processes in enhancing proactive green innovation (PGI) within oil and gas organizations. It also aims to investigate the moderator role of trust and sustainability in these relationships.

This paper employs a quantitative analysis. Surveys have been gathered from the middle-line managers of twenty-four oil and gas government organizations to evaluate the perceptions of the managers towards AI, KM processes, trust, sustainability measures and proactive measures toward green innovation. Analytical and statistical tools that were employed in this study, including structural equation modeling with SmartPLSv3.9, have been used to analyze the data and to examine the measurement and structural models of this study.

The study results reveal a significant and positive impact of AI utilization, KM processes and PGI within oil and gas organizations. Furthermore, trust and sustainability turn out to be viable moderators affecting, and influencing the strength and direction of AI, KM and PGI relationships. In particular, higher levels of trust and more substantial sustainability commitments enhance the positive impact of AI and KM on green innovation outcomes.

Understanding the impact of AI, KM, trust and sustainability offers valuable insights for organizational leaders and policymakers seeking to promote proactive green innovation within the oil and gas industry. Thus, organizations can increase the efficiency of sustainable product development, process improvement and environmental management by using robust AI technologies and effective KM systems. Furthermore, fostering trust among stakeholders and embedding sustainability principles into organizational culture can amplify the effectiveness of AI and KM initiatives in driving green innovation outcomes.

This study extends the current knowledge by assessing the effect of AI and KM on proactive green innovation while accounting for trust and sustainability as moderators. Utilizing quantitative methods offers a nuanced understanding of the complex interactions between these variables, thereby advancing theoretical knowledge in the fields of innovation management, sustainability and organizational behavior. Additionally, the identification of specific mechanisms and contextual factors enriches practical insights for organizational practitioners striving for a practical understanding of the dynamics of the complexities of sustainable innovation in an AI-driven era.