This study investigates the impact of internationalization barriers on the export performance of Jordanian small and medium-sized enterprises (SMEs). The aim of this study is to investigate how the export performance of SMEs in the furniture industry is influenced by external and internal barriers and what significance these have for international performance. Based on a quantitative research design, data was collected from 318 small and medium-sized Jordanian companies through a survey. Partial least squares structural equation modeling (PLS-SEM) examined the impact of external barriers, including political, economic, legal and socio-cultural challenges, as well as internal barriers, such as financial, management and market-related barriers, on export performance. However, most barriers - whether internal or external - are domestic and have a greater impact on export performance than barriers from abroad. This study enriches RBV theory in relation to the internationalization of small and medium-sized enterprises by providing evidence that firm-specific resources and capabilities are key factors for SMEs both when they face export barriers and when they achieve better performance in foreign activities. The findings provide practical implications for managers, policy makers and practitioners interested in the internationalization of Jordanian SMEs. An important limitation is the cross-sectional design, one-country context, and self-report in survey research. Future studies are recommended to use a longitudinal design, mediating and moderating mechanisms. This study is innovative as it involves a combined investigation of firm-external and firm-internal export barriers and their effects on the internationalization success of Jordanian SMEs.

This study investigates the relationships between Supply Chain Collaboration, Risk Management Strategies, Supplier Development, Trust, and Supply Chain Resilience in the Jordanian retail sector. This research aims to analyze the direct impacts of these Supply chain management practices on resilience, as well as mediating effect Trust in between this relation. The study used quantitative data to collect the data from 291 managers and executives in the Jordanian retail sector. The findings suggest that Supply Chain Collaboration and Risk Management Strategies have positive significant effects on Supply Chain Resilience, while Supplier Development has no direct significant effect. The results show that each of the supply chain management practices has significant positive effects on Trust and, therefore, significantly contribute to increasing Supply Chain Resilience. In addition, Trust is identified to play a mediating role in the relationships between trust on both SCMPs and resilience. This paper extends the existing literature on supply chain resilience and provides empirical insights into significant factors that shape in enhancing resilience within the retail trade industry, notably focusing on Jordan. The implications for managers, practitioners and society suggest that collaborative relationships, effective risk management strategies as well trust building initiatives are vital to increase resilience among supply chains. This research is unique as it thoroughly investigates the collaboration between SCM practices, relational variables and resilience in an understudied context providing a new understanding of the interplay of different antecedents at play on resilient supply chains creation.

A multi-objective Flexible Job-shop Scheduling technique for hospitals is proposed using DPSO-AIW i.e. discrete particle swarm optimization with adaptive inertia weight method. The approach encodes the layer of the chromosomes using an operation sequence (OS) and machine assignment (MA) which is a two-layer coding structure. Global selection based on the operation (GSO) of MA and random selection of OS are coupled in the initial population. Rapid non-dominated sorting yields fronts of non-domination, which are necessary for getting the Pareto optimum solution. The diversity of the population is increased during the evolution process by adaptive adjustment of the variation of the weight of inertia, expressed by ω. Then, the Pareto optimal solution found during the process is kept in the Pareto optimal solution set (POS). The discrete particle swarm optimization algorithm is utilized to solve the values of the next generation chromosomes in the discrete domain directly. Lastly, comparisons with certain current techniques and numerical simulation based on two sets of international standard examples are performed, which are already established. The findings from the comparison show that the suggested DPSO-AIW is practical, effective, and more feasible for solving the problem related to the Multi-objective Flexible Job-shop Scheduling Problem.

The research investigated the relationship among Key Performance Indicators (KPIs), risk assessment capabilities and value creation in service sector firms. The study also sought to examine the effect of KPI`s components on risk assessment & value capitalisation, and how they either facilitate or hinder implementation, monitoring and continuous improvement processes. In this context, a quantitative cross-sectional research design was applied using an online survey of shared middle and senior managers in service organizations. After filtering, the final version of segmented sample included a total of 215 respondents engaged in different service businesses. The analysis was determined using Partial Least Squares Structural Equation Modeling. The results showed that all components of KPIs have significant positive relationships with risk assessment and value improvement outcomes First, performance drivers were found to be the most significant predictor of both constructs. As such, the results show that both risk assessment and value improvement had a positive effect on implementation/monitoring processes which in turn enabled continuous improvements. Performance measurement, risk management and value creation in service organizations: A performance at-risk-based conceptual model. The results have numerous managerial, practical and policy implications for the service sector. This drives home the necessity of creating integrated KPI systems that include risk assessment and value improvement factors. In building on existing theory, the study is of substantial interest in that it provides empirical evidence for these organizational mechanisms related to service organizations. Resilient Organizations in the Service Sector picture of Resilience across Performance Management with KPIs, Risk Assessment and Value Creation strategies offering a comprehensive foundation for sustainable organizational success.

Organizations are increasingly acknowledging the vital impact of talent management on boosting their performance. Effective talent management within the central bank is crucial, as it plays an indispensable role in maintaining economic stability and advancing the nation’s financial well-being. The study aims to examine the role of talent management, transformational leadership, organizational climate, employee engagement, employee performance, and organizational commitment in increasing the central bank’s performance. The study uses a quantitative approach by collecting data from 600 sample employees of Bank Indonesia in 30 divisions of departments at the head office, 45 domestic representative offices, and 5 foreign representative offices. The data was analyzed using Structural Equation Modelling-LISREL. The finding shows that transformational leadership has a positive impact on talent management. Talent management has a positive impact on organizational climate, employee engagement, and organizational commitment. Organizational climate has a positive impact on employee engagement. Employee engagement has a positive impact on organizational commitment. Organizational climate, employee engagement, and organizational commitment have a positive impact on employee performance, while talent management does not have a positive impact on employee performance. Employee performance, organizational commitment, and talent management have a positive impact on organizational performance. The study offers valuable insights into talent management practices within central banks. It serves as a guide for central bank management and human capital professionals in formulating policies to enhance performance amidst disruptive times. Additionally, educators can leverage these findings to develop curricula that align more closely with industry demands and produce competent graduates ready to excel on the global stage.

This study investigates the ways in which collaboration may provide a competitive advantage in global marketing through focused strategy, differentiation, and cost leadership. The study uses Partial Least Squares Structural Equation Modelling (PLS-SEM) to analyze data and present a comparative analysis of separate and combined strategic approaches. The result of the study implies that differentiation is the main factor influencing the variation in collaborative competitive advantage, which accounts for the largest percentage of explained variance (R² = 0.729). Whereas the combined model also shows a high level of explanatory ability (R² = 0.693). The path coefficient shows that differentiation, focused strategy, and cost leadership have a positive impact on competitive advantage. The integrated model also shows significant indirect effects, highlighting the benefits of combining several strategies. These results suggest that in order to optimize resource allocation and enhance market positioning, firms should adopt a comprehensive approach that incorporates many techniques. This study contributes to the existing research in strategic management by emphasizing the importance of a cohesive strategy in sustaining a competitive advantage in the fast-evolving digital marketing field.

The Indonesian government currently focuses on high infrastructure development to prepare for connectivity between one city and another. The massive construction of the new government capital is also called the archipelago's capital. This condition impacts companies supporting construction projects, which are growing rapidly. This growth is supported by corporate governance and the cash-holding industry, which supports infrastructure projects for the company's financial performance. This research aims to determine the role of cash holding and corporate governance (board skill, independent director, managerial ownership) on the financial performance of infrastructure-supporting manufacturing companies in Indonesia. The sample used in this research was 83 manufacturing companies listed on the Indonesia Stock Exchange in the 2010-2020 period. This research uses panel data regression as a data analysis method. The results of this research show that managerial ownership significantly impacts increasing cash holding by maintaining the optimization of cash and cash equivalents. The company's managerial ownership cannot impact board skills because many companies still need to accommodate share ownership by management and board-skill-educated doctors. This condition also causes board size skills not to impact increasing cash holding in the company. Board skills have yet to be able to impact financial performance significantly. Managerial ownership and cash holding impact increasing return on assets, thereby increasing financial performance for manufacturing companies that support infrastructure projects. The independent director, as a variable moderator, still needs to be capable of moderating managerial ownership, board skill, and cash holding to improve financial performance. This condition is caused by data from several companies still needing more independent directors. Research provides a practical contribution to the owner as soon as possible, recruiting board members with doctoral education as competent board skills and making independent directors have a vital role in improving financial performance. The theoretical contribution to research is to enrich the theory of corporate governance and financial performance.

To effectively manage the challenges associated with meeting schedules, costs, and quality requirements in construction projects, it is crucial to address potential risk factors. Despite extensive research on risk management in construction, a significant gap persists concerning the uniformity of risk factors and their effects across various construction project types, geographical locations, and cultural contexts. This research presents a structured three-step approach to risk management, covering risk identification, analysis, and response. The methodology is applied to both the General Construction (GC) and Banking Construction (BC) sectors in Egypt, involving industry professionals through surveys. Quantitative analysis using the Relative Importance Index (RII) and Fuzzy-set theory gauges the influence of each risk factor, while Spearman Ranked Correlation tests differentiate risk profiles between sectors. A comparative analysis highlights Egypt-specific risk factors versus regional or global factors. Key risk factors with high centrality scores are identified, and optimal risk reduction strategies are selected using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The study reveals significant sector-specific risk differences and highlights the need for tailored risk management strategies. Key contributions include identifying vital risk factors, comparing them globally and regionally, and proposing effective mitigation strategies to enhance project timelines, costs, and quality.

This study investigates the impact of different leadership styles on project success, specifically examining the mediating role of team collaboration. This study utilized a diverse sample of 202 respondents representing five distinct national contexts: Jordan, Saudi Arabia, China, Australia, and the United Arab Emirates. PLS-SEM were employed to analyze the relationships between transformational leadership, transactional leadership, laissez-faire leadership, team collaboration, and project success. Our findings reveal that both transformational and transactional leadership styles are positively associated with project success. Conversely, laissez-faire leadership demonstrated a negative relationship with team collaboration but did not directly predict project success. Importantly, team collaboration was found to mediate the relationship between both transformational leadership and project success, as well as between transactional leadership and project success. However, the hypothesized mediating role of team collaboration between laissez-faire leadership and project success was not supported. These findings underscore the critical role of leadership style and team collaboration in achieving project success, offering valuable insights for organizations and project managers seeking to optimize leadership practices and foster collaborative work environments.

This study proposes a simheuristic that hybridizes NSGA-II with Monte Carlo simulation to address a stochastic flexible flow shop problem featuring stochastic machine breakdowns. In real-world scenarios, machine breakdowns frequently occur, resulting in negative impacts such as time loss, late deliveries, decreased productivity, and order accumulation. Therefore, this study considers the times between failures and times to repair as stochastic parameters. Multiple objectives are concurrently addressed, including expected makespan, expected tardy jobs, and the standard deviation of tardy jobs. A mathematical model was formulated for the deterministic version of the problem and separately solved for the minimization of tardy jobs and the minimization of makespan in small instances. Subsequently, the proposed simheuristic was executed for both small and large instances. The results demonstrate that the NSGA-II simheuristic enhances outcomes across all objective functions compared to the simulation of optimal solutions provided by the mathematical models in small instances, yielding average GAPs of -16.64%, -21.87%, and -53.33% for expected tardy jobs, expected makespan, and standard deviation of tardy jobs, respectively. Furthermore, the simheuristic outperforms the simulation of solutions given by seven dispatching rules, showcasing average improvements of 48.01%, 48.18%, and 95.63% for the same objectives, respectively.