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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.

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 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.

Prior work has shown that the board of directors can alleviate market imperfections that lead to capital investment inefficiency. The authors extend previous work by exploring how board characteristics influence the efficiency of human capital investment, a critical production factor that has remained insufficiently examined. Specifically, this study aims to investigate how board activity, size, the presence of a separate chairman, female directors and board independence affect firm labour investment efficiency in the European context.

The sample contains 4,331 firm-year observations traded on the STOXX® Europe 600 index from 2009 through 2022. This paper applies a lagged ordinary least squares (OLS) regression to test the proposed hypotheses. It also uses a dynamic panel generalised method of moments (GMM) regression to tackle potential endogeneity concerns.

The results show that board gender diversity and the level of independent directors are positively linked to labour investment efficiency, whereas board size and meeting frequency are negatively related to labour investment efficiency. Meanwhile, the presence of a separate chairman on the board does not appear to be significantly associated with labour investment efficiency. In additional subgroup analyses, the authors find that board gender diversity mitigates managers’ inclinations towards both overinvestment and underinvestment in labour. The authors also find that the level of independent directors helps greatly in reducing the underinvestment in labour, while it fails to attenuate the overinvestment in labour. Moreover, the authors find board size to be significantly associated with the tendency to make suboptimal labour decisions, manifesting as both overinvestment and underinvestment in labour. Finally, the results show that board meetings are significantly associated with overinvestment problems, while underinvestment problems seem to be unrelated to meeting frequency.

The empirical results have implications for policymakers and market participants in Europe. Firstly, firms may improve the efficiency of their labour investments by increasing directors’ independence and adding more female voices to corporate boards. Secondly, the evidence shows that some board attributes, such as board activity and size, do not necessarily have a beneficial impact on corporate decisions, particularly labour investment decisions. Finally, market participants are likely to benefit from this paper by understanding the role of board attributes in promoting the efficient allocation of firm resources.

This paper makes two significant contributions. Firstly, it extends the literature on the role of boards of directors in shaping corporate decision-making processes, particularly concerning human capital investment decisions within European firms. By doing so, the authors provide new evidence confirming that certain board attributes, such as board size, director independence and board gender diversity, are important for optimising firms’ resource allocation. Secondly, although numerous studies investigate boards’ role in capital investment decisions, relatively few empirical studies exist on the role of boards in labour investment decisions. This paper, therefore, tries to tackle this void in the literature by investigating firms’ decision-making concerning labour investments.

Unlike previous research that primarily utilized structural equation modelling (SEM) to evaluate safety hazards in subway projects, this research aims to utilize a hybrid approach to investigate and scrutinize the key indicators of safety hazards leading to accidents, thereby hindering the progress of subway projects in China, taking into cognizance the multiple stakeholder’s perspective.

By administering a survey questionnaire to 373 highly involved stakeholders in subway projects spanning Changsha, Beijing and Qingdao, China, our approach incorporated a four-staged composite amalgamation of exploratory factor analysis (EFA), confirmatory factor analysis (CFA), covariance-based structural equation modelling (CB-SEM) and artificial neural network (ANN) to develop an optimized model that determines the causal relationships and interactions among safety hazards in subway construction projects.

The optimized model delineated the influence of individual safety hazards on subway projects. The feasibility and applicability of the model developed was demonstrated on an actual subway project under construction in Changsha city. The outcomes revealed that the progress of subway projects is significantly influenced by risks associated with project management, environmental factors, subterranean conditions and technical hazards. In contrast, risks related to construction and human factors did not exhibit a significant impact on subway construction progress.

While our study provides valuable insights, it is important to acknowledge the limitation of relying on theoretical approaches without empirical validation from experiments or the field. In future research, we plan to address this limitation by assessing the SEM using empirical data. This will involve a comprehensive comparison of outcomes derived from CB-SEM with those obtained through SEM-ANN methods. Such an empirical validation process is crucial for enhancing the overall efficiency and robustness of the proposed methodologies.

The established hybrid model revealed complex non-linear connections among indicators in the intricate project, enabling the recognition of primary hazards and offering direction to improve management of safety in the construction of subways.

Although it is commonly agreed that prescriptive analytics can benefit organizations by enabling better decision-making, the deployment of prescriptive analytics tools can be challenging. Previous studies have primarily focused on methodological issues rather than the organizational deployment of analytics. However, successful deployment is key to achieving the intended benefits of prescriptive analytics tools. Therefore, this study aims to identify the enablers of successful deployment of prescriptive analytics.

The authors examine the enablers for the successful deployment of prescriptive analytics through five organizational case studies. To provide a comprehensive view of the deployment process, each case includes interviews with users, managers and top management.

The findings suggest the key enablers for successful analytics deployment are strong leadership and management support, sufficient resources, user participation in development and a common dialogue between users, managers and top management. However, contrary to the existing literature, the authors found little evidence of external pressures to develop and deploy analytics. Importantly, the success of deployment in each case was related to the similarity with which different actors within the organization viewed the deployment process. Furthermore, end users tended to highlight user participation, skills and training, whereas managers and top management placed greater emphasis on the importance of organizational changes.

The results will help practitioners ensure that key enablers are in place to increase the likelihood of the successful deployment of prescriptive analytics.