While prior research has consistently established a significant link between production and operations management (POM) practices and organizational financial performance (OFP) across various contexts, the mechanisms driving this connection remain unclear. This study addresses this gap by examining the mediating role of supply chain management (SCM) integration in the relationship between POM practices and OFP within manufacturing firms. Drawing on established theories and concepts such as the resource-based view (RBV) of firm and operation strategies, this study employed a quantitative research design. Survey data were collected from 209 managers in Jordanian manufacturing firms and analyzed using structural equation modeling (SEM). The results confirmed a positive and significant association between POM practices and both SCM integration and OFP. Furthermore, SCM integration partially mediated the impact of POM practices on OFP, thereby underscoring its role in transmitting positive effects to financial performance. This research contributes to the field by integrating POM practices with SCM integration and by elucidating the mechanisms through which these practices influence financial performance in Jordanian manufacturing firms. Through this, our understanding of these relationships for practitioners and researchers alike is enhanced.

This study explores how the quality of information systems quality in management accounting (ISQMA) is associated with corporate sustainability (CS), focusing on the role of financial reporting accuracy and contextual enablers such as artificial intelligence (AI) and green corporate governance (GCG). Drawing on the Resource-Based View and Contingency Theory, the study investigates whether accurate financial data reporting (AFDR) functions as a mechanism through which ISQMA contributes to sustainability outcomes, and whether the presence of AI and GCG strengthens these associations. Empirical data were collected from 257 accounting and finance professionals working in Jordanian commercial banks, providing a robust setting where digital infrastructure and sustainability imperatives converge. The results reveal that ISQMA is positively associated with both AFDR and CS, with AFDR partially mediating this relationship. Moreover, AI and GCG were found to strengthen the relationships between ISQMA and AFDR, and between ISQMA and CS, respectively. These findings underscore that accurate, reliable financial reporting, and strong governance practices enhance the value of digital information systems in achieving corporate sustainability objectives. By integrating information quality, technological capabilities, and governance mechanisms, this study offers a comprehensive understanding of how banks can align their digital infrastructure with sustainable performance goals. The insights contribute to the growing discourse on digitally enabled sustainability and offer actionable implications for both practitioners and policymakers in emerging markets.

This study investigates the empirical relationship between energy consumption, international trade, and real income in the USA, which is the second largest energy consuming country following China. It employs bounds tests to level relationships and conditional error correction models through Auto-Regressive Distributed Lag specification. Using annual data from the 1960 to 2010 period, the results reveal a long-term relationship between energy consumption, international trade, and real income in the USA. It is also found that energy consumption is determinant of exports, imports, and real income. Conditional Granger causality tests suggest that there is a feedback relationship between energy consumption, international trade, and real income in the long-term for the USA economy.

Dynamic environmental changes continue to impact organizations’ performance and goals, prompting them to adapt and develop strategies that foster innovation continually. Thus, HRMS enables talented, retaining skilled, and innovative employees who contribute with creative ideas and creative problem-solving problems to enhance innovation practices in organizations. Therefore, the findings of previous studies are insufficient and considered as empirical evidence to investigate the research constructs relationship. This study aims to examine the gap in strategic adaptability via HRM strategies and innovation in Jordanian banks. The study employs data analysis and hypotheses testing, descriptive analysis approach, and (SEM) structural equation modeling through SPSS-24 and PLS-SEM-4 software. The research population includes 16 Jordanian banks, and a stratified sampling method conducted on 468 respondents resulted in 455 completed ones, the respondents are middle level managers and department heads. The findings reveal a positive significant impact of HRMS and innovation (INN), a significant positive impact of HRMS and strategic adaptability (SA), and a significant positive effect between strategic adaptability (SA) and innovation (INN). In addition, the findings indicate a partial indirect relationship effect between strategic adaptability (SA) via HRMS and innovation (INN). The conclusion shows that the bank’s performance is highly improved by strategic adaptability, which allows the bank to quickly respond to local and global environmental changes, challenges, crises, and market trends, and provides valuable theoretical and practical insights regarding the role of strategic adaptability (SA) relationship between HRM strategies (HRMS) and innovation (INN). These findings are relevant to the global banking sector due to the similar operating conditions and environments. Moreover, a better understanding of these relationships by practitioners and researchers for future studies in different environments, and sectors.

This study is aimed at verifying the conception that a strong corporate culture supported with a positive ethical environment is central for directing and guiding the behavior of individuals toward achieving organizational objectives. The rationale for this study stems from the circumstance that formal controls systems suffer from consecutive failures, as the performance of organizations is still suffering from financial collapses. Reasons behind such failures might be related to the insufficient appreciation of the culture-based controls given that formal controls are influenced by the human nature of employees and the affixed moral side.Data subject to analysis are obtained from a judgmental sampling method using a self-completion questionnaire covering the listed companies at Jordan Securities Commission. A factor analysis and a standard multiple regression analysis have been conducted with the aim of proving the hypotheses of the research. The research results show that strong corporate culture supported with a positive ethical environment can direct the behavior of employees for the good of organizations. Results also support the importance of involvement of top management considering its role in filling the gap between the embraced and the workable values and beliefs of an entity.

Artificial Intelligence (AI) has become a fundamental driver of digital transformation, reshaping organizational management, leadership behavior, and the sustainability of human work systems. Despite its potential to improve performance, few studies have explored how executives psychologically respond to AI awareness and its implications for sustainable well-being. Drawing upon Knowledge Management (KM) theory and Industrial–Organizational (I–O) Psychology, this study examines how senior executives’ awareness of AI (AIA) affects job burnout, with job insecurity serving as a mediator and self-esteem as a moderator. Data were collected from 615 CEOs and senior managers of small and medium-sized enterprises (SMEs) in the United Arab Emirates (UAE) and analyzed using structural equation modeling (Smart PLS 4). The results reveal that higher AI awareness intensifies burnout primarily through increased perceptions of job insecurity; however, executives with higher self-esteem demonstrate resilience to these effects. By framing AIA within the Knowledge Management (KM) theory, this study contributes to the existing KM literature by revealing how organizations create, maintain, and use knowledge assets in the digital transformation environment. Our findings underscore the necessity for organizations to set up innovative initiatives, flexible organizational structures, targeted training, and mental health support while adopting AI technologies. Overall, this study highlights the critical intersection between digital Knowledge Management and the mental health of executives, aligning with Sustainable Development Goal 3 (Good Health and Well-Being).