Based on the information system success and situational strength theories, this study explores the moderating effect of learner quality and instructor quality on the relationship between information quality and student satisfaction with e-learning. Survey data were collected from 333 college students, and the proposed relationships were assessed using the SMARTPLS structural equation modeling tool. The direct relationship between information quality and student satisfaction is significant; however, the moderating effect of learner quality and instructor quality is insignificant. The moderating effects of learner and instructor quality have been less researched in the existing literature. This study contributes to uncovering the complex interactions between these variables and the relationship between information quality and satisfaction.

This study evaluated the Moodle Professional Learning Management System (PLMS), based on user experience during the global pandemic of COVID-19, to explore the impact of system, service, information, education, learner, and instructor qualities on user satisfaction (SAT), perceived ease of use (PEOU), and perceived usefulness (PU). Data were collected using previously validated scales. Using SmartPLS structural equation modeling, data from 403 college students were analyzed to test 22 hypotheses. The results show that system and information quality positively affect PEOU. Although service quality had a partially significant impact on PU, it negatively affected SAT and PEOU. The quality of the education system had a partially positive impact on PU but a negative impact on PEOU and SAT. Learner quality positively affected PEOU, PU, and SAT. Although PU and PEOU significantly and positively affected benefits (BEN), SAT had only a partially significant impact. The results support the need for continued integration of e-learning with traditional learning schemas. This comprehensive analysis demonstrates how quality dimensions affect user experiences and outcomes in a unique cultural and emergency context, thus contributing to the e-learning body of knowledge.

This paper aims to explore Kuwaiti users' perspectives and experiences with Shlonik, the mandatory contact tracing application that was used during the COVID-19 pandemic. A sample of 2,450 tweets about users' experiences was collected and thematically analyzed. The analysis used DeLone and McLean's information system success model to explore aspects of the degree to which this app can be judged a “success,” using parameters of system quality and service quality. A novel finding identified by this qualitative study was the significance of themes identified in the analysis such as social privacy (timing, privacy, and female privacy, which are related to the cultural and religious norms of Kuwait) and technical privacy (related to data protection). The research identified significant conflict with cultural and social norms in users' experience of the Shlonik app – factors not normally identified or discussed in existing literature. This research supports a need for improved strategies and designs in future m-government applications in developing countries.

Purpose: This study examines the effectiveness and advantages of cloud-based e-learning platforms in Kuwait, integrating concepts from Information System Success Model (ISSM) and Technology Acceptance Model (TAM). It investigates the impact of system quality (SQ), service quality (SRQ), and information quality (IQ) in cloud computing (CC) on user satisfaction (SAT), perceived ease of use (PEOU), and perceived usefulness (PU). Furthermore, it examines how PEOU and usefulness affect SAT and the role of SAT in mediating benefits. Study design/methodology/approach: Survey data were used to analyze relationships in 15 hypotheses using SmartPLS structural equation modelling. Sample and data: The empirical data were gathered from a sample of 221 college students. Results: The analysis revealed that several hypotheses were rejected, including SRQ on SAT, PU, and PEOU, which were found to be insignificant. Similarly, IQ did not exhibit a significant effect on SAT and PU, yet it did have an impact on PEOU. Consequently, it was found that the SAT only mediates the relationship between SQ and benefits. The study further explores potential explanations for these insignificant findings. Originality/value: Despite limited research on cloud computing learning platforms, this study sheds light on the intricate dynamics among these variables and the overall benefits of such platforms in Kuwait.Research limitations/implications: The unexpected insignificant relationships, such as SRQ, suggest practical implications, including the need to re-evaluate the providers’ approaches to customer service. Using services that are more tailored to specific contexts may be beneficial. The timing and context of the study could limit its generalizability.

This study aims to explore customer relationship management (CRM) systems in Small and Medium Enterprises (SMEs) in Saudi Arabia. More specifically, this study investigates CRM benefits, critical success factors (CSFs), and the impact of CRM on SMEs' performance. This study is based on a qualitative design; semi-structured interviews were employed to acquire the requisite data. The results reflect that all the investigated businesses are implementing CRM. Furthermore, certain success factors such as training employees, top management support, and change management have been determined to significantly impact the CRM system and increase achievement of the desired results. The study creates awareness of CRM and provides executives with insights into CRM practices, with the aim of enhancing the effectiveness of CRM and confirming its benefits and advantages for interested parties.

Purpose: This study investigates the interrelated impacts of environmental pressure and artificial intelligence (AI) integration on workforce sustainability and organizational adaptability. Design/Methodology/Approach: A cross-sectional survey of 272 HR professionals and leaders in Kuwait was conducted, and structural equation modeling (SEM) in JAMOVI was used to test direct and mediating effects among the constructs. Findings: AI integration (β = .492, p < .001) and environmental pressure (β = .265, p < .001) significantly influenced organizational adaptability. Workforce sustainability strongly mediated these relationships. Originality/Value: This study contributes novel insights on dual disruption adaptation in HR systems within Gulf contexts, offering an empirically validated resilience framework. Research Limitations and Implications: The study's limitations include its geographic specificity and cross-sectional design. Future research may adopt longitudinal or comparative models across industries. Practical Implications: The findings inform HR practices involving digital upskilling, AI trust-building, and environmentally responsible recruitment to bolster workforce resilience. Keywords: AI Integration; Environmental Pressure; Workforce Sustainability; Organizational Adaptability; Structural Equation Modeling; Kuwait. Citation: Alainati, S., Albadir, A., Alterkait, M., Al-Hunaiyyan, A. and Alkandari, A. (2026): Reframing Organizational Performance in the Digital Era: The Role of AI Readiness and Digital Capabilities. World Journal of Science, Technology and Sustainable Development (WJSTSD), Vol. 21, Nos. 1/2/3, pp. 67-85. WASD: London, United Kingdom.