This paper examined technology information as the factor that drives productivity among Small and Medium Enterprises (SMEs), particularly the effect of innovation on the performance of SMEs and the effect of Customer Relationship Management (CRM) Technology on industrial performance. The mediation of CRM Technology on the effect of innovation on company performance was examined as well. Survey questionnaire was distributed online to 544 firms, and data were analyzed through structural equation models using Amos version 23. Results show that innovation increases productivity (performance) of small businesses and plays a positive role on information systems. However, innovation had an insignificant role on industrial Performance. Meanwhile, CRM Technology shows no mediation in the relationship between innovation and performance. Generally, results proved the significance of innovation in enhancing company performance.

This quantitative study examined the relationships between privacy, trust and level of service quality, and customer satisfaction. Jordanian firm employees involved in CRM technology were the study samples. Data from 620 completed questionnaires were analyzed utilizing AMOS software version 23. The study hypotheses were tested through Structural Equation Modelling (SEM). The causal relationships among the study’s main variables were examined as well. Results showed a positive impact of trust, privacy, and level of service quality on customer satisfaction. Managers and practitioners could pursue this study results in their CRM systems implementation. Additionally, the relations between privacy, trust and level of service quality, and customer satisfaction could be examined further as these relations in CRM systems have not been adequately examined, especially in emergent industries of developing countries.

The study aimed to define the contribution of total quality management in relations with suppliers and customers in Jordanian pharmaceutical companies. The study population consisted of pharmaceutical companies in Jordan targeting individuals in supervisory positions in these companies. A total of 170 responses were received. The results of the study found that Jordanian pharmaceutical companies apply total quality management in terms of “commitment of senior management, employee empowerment, strategic planning for quality”, which had positive relationships with suppliers and customers. It indicates that total quality management and supply chain practices, especially the relationship with suppliers and customers, are among the basic concepts that work to improve supply chain performance. The study recommends devoting the necessary attention and care to empowering workers, and this is where the essential role-play for senior management is to create interest among employees in their work and jobs through training programs. However, developing methods of collective motivation, participating in setting goals, making decisions, and displaying the image of the work “Family” and forming problem-solving teams for the purpose of achieving empowerment is also important.

The aim of this study is to explore the impact of intellectual capital on the achievement of competitive advantage in organizations. It also aims to explore the mediating impact of innovation on the relationship between intellectual capital and the achievement of competitive advantage. To meet the study’s goals, the researchers reviewed the relevant literature. The researchers also provide definitions for intellectual capital and innovation. They also identified the dimensions of intellectual capital (i.e. structural, human and relational capital). The study identified the types of innovation (incremental and radical innovation) and found that intellectual capital significantly influences on the achievement of competitive advantage. Moreover, the study found that innovation has a mediating influence on the relationship between intellectual capital and the achievement of a competitive advantage.

Companies have heavily invested in information management (IM) capabilities, yet many of them find it hard to demonstrate a business focused strategic value. Consequently, IM functions often get treated as cost-center rather than strategic value creators. This study is intended to address this gap by designing and validating a model to link IM initiatives to business outcomes. We develop and validate a framework that links certain IM capabilities to intermediate organizational capabilities, which subsequently affect financial and strategic performance. The IM capabilities under consideration are data quality governance, analytical infrastructure, data accessibility, and master data management. Through a mixed-methods approach utilizing paired survey data from 350 organizations and archival performance data, we do structural equation modeling to test the proposed relationships. Our results show that the strongest effect on operational efficiency comes from data quality governance (β = 0.47, p < 0.001). Meanwhile, cross-functional data accessibility exerts high impact on strategic agility (β = 0.52, p < 0.001). The mediation analysis confirms that IM capabilities influence financial performance only through organization capabilities. Our research contributes to theory and practice by providing (1) an empirically validated causal model extending the Resource-Based View to the domain of the digital context, (2) a measurement instrument for assessing IM value drivers, and (3) a managerial framework for prioritizing IM investments in line with strategic objectives. According to this research, CIOs and CDOs have evidence-based tools to rebrand IM as a technical necessity for better version.

This paper explored how social media characteristics affected users’ attitudes toward the utilization of Greater Amman Municipality (GAM) e-project management located in Jordan. Data were collected through online survey, involving 456 GAM e users, and analyzed using partial least squares-structural equation modelling. Results showed user attitudes and social media characteristics (reliability, security and website design) as direct significant antecedents of GAM e-project management usage. Furthermore, three direct significant relationships were shown between social media characteristics and GAM e-project management usage. Results also demonstrated three direct significant relationships between social media characteristics and users’ attitudes. Next, results showed one direct significant relationship between users’ attitudes and GAM e-project management usage. Three indirect significant relationships between social media characteristics and GAM e-project management usage were detected via mediation of users’ attitudes. This study recommended (among others) paying attention to other social media characteristics that have impact on GAM e-project management usage, namely, responsiveness, privacy, and site content.

This paper examined how information quality within project management information systems is being improved through the use of blockchain technology. A conceptual framework was developed based on past findings and relevant theories. User satisfaction determinants affecting blockchain adoption success in Jordan were examined in this paper. A cross-sectional design and Random sampling technique were employed. Data collection involved the use of questionnaires. Data obtained from 393 responses were analyzed using AMOS software. The findings showed a significant impact of system quality, information quality, ease of use on user satisfaction, whereas service quality did not show a similar impact. Also, ease of use impacted blockchain adoption success, but user satisfaction did not. In addition, user satisfaction did not mediate the relationship between ease of use and Blockchain adoption success. Results had implications on blockchain use in Jordan. Several recommendations were proposed for forthcoming scholarly works and blockchain actual adoption, in Jordan especially.

The present study examined the perception of users towards the role of artificial intelligence (AI) in improving personal learning profile (PLP), personal learning network (PLN) and personal learning environment (PLE). Additionally, the impact of PLP, PLN and PLE on perceived ease of use, perceived effectiveness and perceived usefulness in improving the general attitude and satisfaction of users in their intention to use project management was examined. Results showed the impact of PLE on perceived ease of use and perceived usefulness, significant impact of PLP on perceived effectiveness, and impact of student pressure on intention to use project management. Data were obtained from professionals and students with experience in the use of project management modules. Notably, the obtained data were fully based on the perceptions of the respondents, resulting in potential self-perception bias. Perceptions of users towards PLP, PLN and PLE were integrated into the technology acceptance model framework of this study, to understand their impact on the general attitude and satisfaction of learners. Using AI can enhance learner attitude and satisfaction while creating more engaging e-learning, proving the crucial role of AI in forming the right environment through learner profile match.

The present study evaluated the relationships between IT application and KM practice adoption, and project performance. KM practice adoption as a mediator in the relationship between IT application and project performance, was ascertained. A research model was constructed and validated utilizing structural equation modeling (SEM). Results of analyses demonstrated a positive relationship between IT application levels and knowledge management levels of projects. Also, high-level knowledge management contributes to project outcomes. Full mediation of KM practice adoption on the effects of IT application on project performance was affirmed.

The current study aims to assess the factors that could affect students’ use of ChatGPT. The study proposed a theoretical model that included six factors. Data was collected from 518 students using a questionnaire. The data were analyzed using Structural Equation Modeling to identify the relationships and test the hypothesis. The findings revealed that performance expectancy and social trust significantly influenced students’ intentions to use ChatGPT. Contrary to expectations, both social influence and effort expectancy had insignificant effects. By elucidating the core factors affecting the utilization of ChatGPT, trust had a significant impact on the intention to use ChatGPT. Furthermore, trust mediates the relationship between perceived security and intention to use ChatGPT, this study can provide valuable insights for policymakers. Moreover, this study contributes to the existing literature by setting the foundation for future research seeking a deeper understanding of the factors influencing the use of other AI technologies in teaching and learning in Electronic Public Facilities.