Sulieman Ibraheem Mohammad’s research while affiliated with Al al-Bayt University and other places

This study investigates the influence of strategic intelligence on decision quality within Jordan's retail sector. Through experimental analysis and surveys conducted with 288 retail managers across Jordan, the study explores the impact of strategic information acquisition, analysis, and utilization on decision-making processes and outcomes. Structural equation modeling (SEM) analysis reveals a positive correlation between strategic intelligence and decision quality. Enhanced strategic intelligence capabilities, encompassing effective data collection, analysis, and dissemination, are crucial for improving decision-making quality, leading to enhanced performance, competitiveness, and customer satisfaction in the retail sector. Recommendations include investing in technology and analytical tools, fostering a data-driven decision-making culture, and providing training opportunities to enhance employees’ analytical and critical thinking skills. This study offers practical insights for retail managers and executives navigating a competitive marketplace, empowering them to make more informed and effective decisions.

Cybersecurity is a critical area in modern business and technology landscapes, heightened by the increasing risks associated with digital operations. Despite advancements in technologies like machine learning to bolster security measures, organizations continue to face challenges in effectively integrating and managing these technologies to safeguard against cyber threats. This study aims to conduct a bibliometric review of cybersecurity. Employing bibliometric analysis with VOSviewer v.1.6.20 software and the Web of Science (WoS) database. The implications of this research are substantial for both academic and practical applications in cybersecurity. Academically, the findings can direct future research by highlighting underexplored areas and emerging trends. Practically, the insights gained can help organizations develop more effective cybersecurity strategies by understanding the risks, solutions, and technological advancements discussed in scholarly literature.

This study looks at how FinTech impacts consumer engagement in Jordan’s banking industry. The study’s goal is to explore how the adoption of financial technology products and services impacts customer behaviors, preferences, and satisfaction, with an emphasis on developing methods for traditional banks to improve customer engagement in reaction to these changes. A quantitative method is used, including Structural Equation Modeling (SEM) to investigate the relationships between FinTech adoption and customer engagement using 388 customers’ views from Jordanian commercial banks. The study indicated that FinTech has a positive influence on consumer engagement, with the integration of new technology expected to result in enhanced customer experiences and higher satisfaction. Based on the findings, recommendations could be made for Jordan’s traditional banks to improve their customer engagement methods in light of FinTech innovations. The study extends to the current literature by offering empirical information on FinTech’s role in customer engagement in the context of Jordan’s banking industry.

This study aims to understand the impact of business intelligence (BI) capabilities on the competitive performance of supermarkets in Jordan. Data were collected through surveys conducted on 239 managers within supermarkets in Jordan. SEM analysis was used to explore the direct effects of business intelligence capabilities on competitive performance. The results showed a positive impact of business intelligence capabilities on the competitive performance of supermarkets in Jordan. Recommendations included investing in business intelligence infrastructure and talent development, fostering a culture of data-driven decision-making, and leveraging analytics to gain insights into customer behavior, market trends, and competitor strategies. This study provides practical insights for supermarket managers and executives seeking to improve the performance of their stores and achieve a competitive advantage in the Jordanian supermarket market.

This study aims to explore the impact of strategic agility on the strategic performance of international non-governmental organizations (NGOs) in Jordan. Data were collected through surveys of 312 managers within these organizations in Jordan. SEM analysis was used to examine the direct effects of strategic agility on strategic performance. The results showed a positive effect of strategic agility on the strategic performance of NGOs in Jordan. Recommendations include investing in capacity-building initiatives that focus on speed and flexibility, fostering a culture of innovation and experimentation, and strengthening partnerships and networks to leverage collective capabilities and resources. This study provides practical insights for organizational leaders and practitioners seeking to enhance the strategic performance of NGOs in Jordan.

Artificial Intelligence (AI) is becoming essential in modern organizations, significantly enhancing innovation, efficiency, and competitive advantage. By mimicking human intelligence, AI not only automates mundane tasks but also improves decision-making through advanced data analysis and promotes innovation in products and services. This study aims to map the existing research landscape, identify prevalent trends, and understand the factors driving widespread AI adoption. This bibliometric analysis is crucial as it outlines the current state and evolution of AI implementation in both academic and practical contexts. It highlights key trends and research gaps, aiding scholars and industry professionals in making informed decisions about AI deployment and guiding future research directions. Employing bibliometric methods with VOSviewer software and data from the Web of Science (WoS) database. The results show a significant increase in AI-related publications. This underscores a growing global interest and engagement in AI.

This study examines the impact of circular economy practices on organizational flexibility among entrepreneurial companies in Jordan. Employing a quantitative approach, it involved structured surveys of 241 entrepreneurs and business managers across various sectors, using SEM analysis to assess the direct effects on organizational resilience. Findings reveal a positive correlation between circular economy practices and organizational flexibility. Recommendations include adopting eco-design, implementing closed-loop supply chains, enhancing stakeholder collaboration, and investing in innovation and technology. The study's contribution is its empirical analysis of how circular economy practices enhance resilience and competitiveness in Jordan's entrepreneurial sector, offering practical insights for aligning sustainability with resilience efforts in a dynamic business environment.

Today, in the rapidly changing digital world, combining AI with traditional marketing can yield tremendous results. This paper elucidates the potential of AI for automation and customization in digital marketing. There are two chief issues with old-school approaches to online advertising: they cannot scale well enough and thus cannot be customized for use on different demographics. In addition, targeting inaccuracies due to manual processes may lead to ineffective campaigns. To overcome these hurdles, this research suggests the integration of Automation and Personalization using Artificial Intelligence Technology (AP-AIT) into digital marketing strategies. The utility of AP-AIT permits marketers to cope with massive volumes of campaigns at the same time as providing personalised content material and reviews for each customer phase. The real-time statistics evaluation also enabled with the aid of machine learning capabilities helps AP-AIT optimize engagement metrics ensuing in stepped forward performance on conversion rates which finally ends in improved client loyalty over an prolonged period of time. The outcomes acquired from this observe provide a strong basis for knowledge the profound implications that AP-AIT has in remodeling how corporations interact their clients digitally via computerized personalisation strategies driven by way of synthetic intelligence programs along with chat bots. Businesses who contain AI’s automation—pushed personalization can acquire unmatched performance degrees, effectiveness costs in addition to general satisfaction among customer undertaking such advertising initiatives as by no means seen before.

The Internet of Things (IoT) is radically transforming businesses by creating a network of interconnected devices that deliver real-time data and insights. This connectivity enhances decision-making and enables agile responses to dynamic business environments. The study explores the evolution of IoT, highlights critical themes and trends, and identifies existing gaps in the literature. This bibliometric analysis is crucial for several reasons. It provides a comprehensive review of the current state of IoT adoption, offering valuable insights for stakeholders planning to invest in or expand their use of IoT technologies. By detailing prominent trends and pinpointing challenges in the IoT realm, the research aids in shaping future studies and supports informed decision-making regarding IoT implementations. This could significantly impact strategic planning and resource allocation across various industries. The study employs bibliometric analysis to examine recent trends in IoT adoption, using VOSviewer software and data from the Web of Science (WoS) database.

This study assesses the impact of digital human resources management (HRM) on the sustainability of private universities in Jordan. Using a quantitative approach, standardized questionnaires were administered to 238 faculty members from various private universities in Jordan. Structural equation modeling (SEM) was employed to analyze the data and explore the relationship between digital HRM practices and sustainability. Findings reveal a significant positive influence of digital HRM on the sustainability of private universities, particularly through practices like digital recruiting, training, evaluation, and compensation. The study recommends that private universities in Jordan modernize their digital HR capabilities through policy reforms, employee training, and the adoption of advanced HR software solutions to maximize benefits. By offering empirical evidence, this research contributes to understanding the importance of digital HRM in supporting sustainability in Jordan’s higher education sector, providing actionable insights for university administrators and policymakers.