This study aimed to identify the mediating role of organizational intelligence between information technology capabilities and competitive advantage. The data were collected from a sample of 224 employees of various managerial positions in e-commerce companies in Jordan. Process macro v3.5 was applied to process data collected. The study concluded that information technology capabilities and organizational intelligence play an essential role in raising and improving competitive advantage and responding to business environmental changes. Empirical evidence indicated a need to develop information technology capabilities via organizational intelligence due to its positive impact on competitive advantage.

This research aims to delve into the mediating role of IT capabilities in the relationship between artificial intelligence and competitive advantage during the COVID-19 pandemic. The study was conducted on a sample of 224 individuals from e-commerce enterprises in Jordan. Smart PLS3 was employed to examine the information gathered to inform the research goal. The result of this study confirmed that the adoption of IT capabilities plays a mediator role between artificial intelligence and competitive advantage. The results of the study have implications for decision-makers as well as the current literature. Companies that adopted IT capabilities and artificial intelligence grasp the benefits of successfully overcoming the COVID-19 Pandemic challenges.

Sustainable development has garnered significant attention due to its multifaceted benefits across social, economic, and environmental dimensions. This study investigates the influence of international performance indicators, specifically organisational agility, data science applications, and strategic partnerships, on the advancement of sustainable development initiatives. Additionally, the role of business intelligence (BI) techniques in augmenting this relationship is examined. A mixed-methods approach was employed, integrating both quantitative and qualitative analyses to comprehensively address the research objectives. A systematic review of the relevant literature was conducted, supplemented by data sourced from the World Bank, which was subsequently analysed using Power BI software. This global study encompassed diverse samples from various regions, ensuring a broad representation of perspectives. The findings reveal that the integration of organisational agility, data science applications, and partnerships, when enhanced by BI techniques, significantly accelerates the achievement of sustainable development goals (SDGs). It is concluded that leveraging these international performance indicators, alongside advanced data-driven methodologies, is critical for fostering a more sustainable future.

In the technological and digital revolution, the world is witnessing unprecedented environmental uncertainty as big data becomes more complex in the labor market. Hence, the study examined the relationship between business analytics, big data, and decision-making insights. The study design used a quantitative approach through a questionnaire distributed to a sample of 412 management levels from international organizations located in King Hussein Business Park in Jordan, named CISCO, Microsoft, Oracle, MBC, Samsung, Migrate, Aramex, Experia, and Ericsson. The data were managed through PROCESS Micro v3.5 software via SPSS packages to investigate the total effects of the study variables. The results confirmed the positive relationship between business analytics, big data, and decision-making insights at a statistically significant level (p < 0.01). The study presented a theoretical development of the role of management in achieving mature visions based on big data that constitute solutions to the complex interactions between technology and human orientation, facilitating the organizational complexities supported by the digital age and transforming them in favor of business decisions in the organizational environment of business companies.

This study investigates the mediating and moderating roles of data analytics and business intelligence in the relationship between e-HRM practices and job satisfaction in Jordanian SMEs. The data were obtained from a survey of 368 employees through questionnaires; the data were analyzed via SPSS and PROCESS Macro v3.5. The results show that e-HRM practices, such as e-recruiting, e-training, e-compensation, and e-performance, have a high and significant positive impact on job satisfaction (R² = 0.93, F = 1221.14, β = 0.613, p = 0.01). More precisely, concerning the dimensions of e-HRM, both e-training (β = 0.356, p < 0.001) and e-performance (β = 0.072, p = 0.02) were positively related to job satisfaction, while e-compensation had no statistical effect. Data analytics mediated this relationship positively by increasing its impact by 0.33 and contributing to an R² of 0.875 (p < 0.01). Furthermore, data analytics had a direct influence on job satisfaction (R² = 0.48, F = 333.93, β = 0.691, p < 0.001). Business intelligence moderated e-HRM-job satisfaction relationships through the amplification of its effect by 0.40 and had an indirect R² of 0.875 (p < 0.01). These results have presented the critical roles that data analytics and business intelligence play in the optimization of HR practices and employee satisfaction. The study has shown the need for Jordanian SMEs to adopt these technologies to enhance their HR capabilities and workforce engagement.

This study investigates the extent to which renewable energy adoption contributes to achieving a sustainable competitive advantage in Jordanian small and medium-sized enterprises (SMEs) through enhanced sustainability practices. A quantitative research design was employed, utilizing data collected from 467 administrative personnel across 43 SMEs operating in diverse industries to ensure representativeness. Structural equation modeling (SEM) was conducted using SmartPLS 4 to examine both the direct and indirect effects of renewable energy adoption on corporate sustainability practices and its subsequent impact on long-term competitiveness. The findings indicate that integrating renewable energy into business operations significantly strengthens sustainable competitive advantage by improving operational efficiency, reducing costs, and enhancing corporate reputation. Furthermore, the results highlight the role of renewable energy adoption in reinforcing sustainability initiatives, thereby aligning environmental stewardship with strategic business objectives. These insights provide valuable implications for SMEs seeking to enhance market positioning through sustainabilitydriven strategies. Additionally, the study contributes to the existing body of knowledge on corporate sustainability and strategic management by elucidating the mechanisms through which renewable energy facilitates long-term competitive positioning. Practical recommendations are offered to policymakers and business leaders to support the effective implementation of sustainability initiatives within the SME sector.