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The purpose of this study is to investigate the effects of effective enterprise resource planning (ERP) system utilization on enterprise economic sustainability through product life cycle cost control.

Data were collected from key stakeholders in Jordanian industrial firms. These stakeholders included company managers, production managers, accounting heads and cost accounting staff. A comprehensive questionnaire was developed to gather their insights, ensuring a thorough understanding of their perspectives on the relationship between ERP systems, cost management and sustainability.

The study revealed that the effective use of ERP systems positively impacted the control of product life cycle costing, which in turn positively influenced the economic sustainability of enterprises in the Jordanian industrial sector. The study’s outcomes underscore the significance of investing in employee training to optimize the use of ERP systems and improve overall organizational performance.

The study offers insights for managers and policymakers in the Jordanian industrial sector, highlighting the importance of effectively implementing and utilizing ERP systems to control product life cycle costs and enhance economic sustainability.

This study contributes significantly to the existing literature by delving into the effects of effective ERP system utilization on enterprise economic sustainability through product life cycle cost control – an area that has not been extensively studied.

In line with the noticeable trend toward automation in internal audit functions, and considering Saudi Arabia’s Vision 2030, which prioritizes technological innovation, the purpose of this study is to explore the adoption of robotic process automation (RPA) within the KSA’s various sectors of internal auditing domain, with a particular emphasis on understanding the challenges and evaluating the impact on audit efficiency.

Using a quantitative research design, this study uses a bootstrapping approach and partial least squares structural equation modeling (PLS-SEM) to meticulously analyze data collected from 138 certified internal auditors around KSA.

This study reveals associations between the regulatory environment, data security, vendor reputation, intention to adopt RPA and internal audit efficiency.

The study findings offer valuable insights for auditors, policymakers and industry practitioners involved in RPA adoption initiatives. The organizations can use these results to develop informed strategies for navigating the challenges and maximizing the benefits of RPA implementation in internal audit functions.

This study contributes significantly to the existing literature by delving into the adoption of RPA, with a particular emphasis on understanding the challenges and evaluating the impact on audit efficiency, specifically in the context of KSA – an area that has not been extensively studied.

The Kingdom of Saudi Arabia is in the midst of a transformative economic vision, aiming to diversify its economy and reduce dependency on oil revenues. Adopting modern technological solutions like Cloud Accounting Information Systems (AIS) is pivotal in this regard. The purpose of this study is to explore the impact of Cloud AIS on achieving Sustainable Development Goal (SDG) 8.

This study uses a quantitative research strategy and bootstrapping to analyze data from the Kingdom of Saudi Arabia (KSA) industrial sector using partial least squares structural equation modeling.

The study findings provide substantial evidence supporting the positive impact of Cloud AIS on achieving SDG 8. Significant relationships were identified between infrastructure readiness and Cloud AIS utilization, the critical role of data quality in driving Cloud AIS utilization and the significance of security compliance in influencing Cloud AIS utilization. In addition, the quality of service providers was demonstrated to be a crucial factor for effective Cloud AIS implementation. This study also established that infrastructure readiness significantly influences the attainment of SDG 8.

The practical implications of this study provide actionable insights for decision-makers in the KSA industrial sector. Leveraging Cloud AIS effectively will enable organizations to enhance operational efficiencies, promote inclusive economic growth and contribute significantly to achieving SDG 8.

This study contributes significantly to the existing literature by delving into the impact of Cloud AIS on achieving SDG 8, specifically in the context of the KSA – an area that has not been extensively studied.

The Kingdom of Saudi Arabia’s dedicated pursuit of technological modernization positions it as a forefront leader in integrating advanced systems, aligning smoothly with the ambitious goals outlined in Vision 2030. The purpose of this study is to investigate the influence of integrating enterprise resource planning (ERP) and business intelligence (BI) systems on decision-making processes within the industrial sector of Saudi Arabia.

Using a quantitative research design, this study uses a bootstrapping approach and partial least squares structural equation modeling to meticulously analyze data collected from Saudi industrial firms.

The research reveals favorable relationships among infrastructure readiness, data quality, security and access control, user capabilities, user training and the integration of ERP and BI. These positive associations collectively affirm the overarching positive impact of ERP and BI integration on decision-making processes within the industrial sector.

The study underscores the strategic imperative of aligning organizational practices with the identified characteristics to fully unlock the potential benefits of ERP and BI integration in the Saudi Arabian industrial sector.

This study contributes significantly to the existing literature by delving into the integration of ERP and BI in the industrial sector and its nuanced impact on decision-making processes, specifically in the context of the Kingdom of Saudi Arabia – an area that has not been extensively studied.

The aim of this study is to investigate technological and innovation orientation contribution to the development and sustainability of the industrial sector.

The authors gathered the perspectives of many experts who were aware enough of their company’s technical and innovation orientations to participate in this study to understand how technology and innovation orientations may affect sustainability and development. These people included the company managers, accounting department heads, IT department workers and employees in the innovation department. This was accomplished by distributing a thorough questionnaire intended to gather their perspectives.

The study’s results highlight the significant positive relationship between technological and innovation orientation. Moreover, the study demonstrates that both technological and innovation orientation were found to positively impact the sustainability and development of the industrial sector.

This study provides practical insights for policymakers, industrial managers and innovation supporters in Jordan. Managers can use these insights to reassess technology adoption and innovation strategies. Additionally, investing in staff skills and technology readiness can boost efficiency, competitiveness and long-term growth.

To the best of the authors’ knowledge, this study is pioneering research to shed light on the connection between technological orientation, innovation orientation and sustainability and development in the industrial sector, providing valuable insights for policymakers and practitioners alike.

This study aims to conduct a comprehensive assessment of the existing literature on green human resource management (GHRM) and its correlation with environmental performance (EP) and energy saving behavior (ESB) by using the PRISMA methodology.

A thorough examination was undertaken involving a total of 25 articles which included a diverse range of years and geographic areas.

The findings suggest a growing emphasis on the intersection of GHRM, EP and ESB, supported by a substantial increase in research in recent times. The literature in question was mostly contributed by Malaysia, Pakistan, Canada and Thailand. Majority of research endeavors were carried out within the context of manufacturing companies. The studies under scrutiny mostly used quantitative research methodologies and often applied the resource-based view (RBV) and theory of planned behavior (TPB) frameworks to investigate the relationships between GHRM, ESB and EP. In addition, structural equation modeling (SEM) has garnered significant attention as a commonly used analytical methodology. This analysis emphasizes the growing importance of GHRM strategies such as green recruiting, green performance management and green remuneration, in fostering sustainable organizational results.

This work offers significant contributions to the existing body of research in this particular sector; shedding light on its present condition and pinpointing prospective avenues for future inquiries.