The present study examined cloud computing adoption and organizational performance, with particular emphasis on the roles of security and scalability within organizational settings in Punjab and Sindh, Pakistan. The study was significant because the increasing reliance on cloud-based technologies has created opportunities for organizations to improve operational efficiency, flexibility, productivity, and resource management, while concerns related to data security and the ability of cloud systems to accommodate changing organizational requirements remain important challenges. A quantitative, cross-sectional survey research design was adopted, and data were collected from 433 respondents working in relevant public, private, and semi-government organizations and institutions. A structured and adopted questionnaire was used to measure cloud computing adoption, security, scalability, and organizational performance through a five-point Likert scale. Data were collected through an online Google Forms questionnaire, which was distributed electronically to eligible respondents in Punjab and Sindh. The collected responses were initially organized and screened in Microsoft Excel and were subsequently transferred to IBM SPSS for statistical analysis. Descriptive statistics, Cronbach’s alpha reliability analysis, Pearson correlation, multiple linear regression, independent-samples t-test, one-way ANOVA, and Tukey HSD post-hoc analysis were conducted. The findings demonstrated that cloud computing adoption was positively associated with organizational performance, while security and scalability also showed positive relationships with organizational performance. The regression findings further indicated that cloud computing adoption, security, and scalability made significant contributions to organizational performance, while the group-comparison analyses showed that organizational performance differed significantly across different levels of cloud computing adoption. Overall, the study concluded that effective cloud computing adoption, supported by strong security and scalable technological infrastructure, can contribute substantially to improved organizational performance. The study provides useful implications for organizational managers, IT professionals, policymakers, and decision-makers seeking to develop secure, flexible, and performance-oriented cloud-computing strategies.
Rimsha Arif, Ali Yousuf Khan, Engr A. S. Sadiq et al.· SOCIAL PRISM· 0 citations
The rapid advancement of artificial intelligence (AI) has transformed higher education by introducing intelligent learning technologies that enhance teaching, learning, and academic management. Despite these advancements, concerns have emerged regarding their potential influence on students' psychological well-being and mental health. Thus, the objective of this research was to analyze the implications of artificial intelligence-based education and the role of digital innovation on students' mental health in the context of higher education. The study adopted a quantitative cross-sectional research design. A survey was the only research instrument. The study population was comprised of under and post-graduate students who attended the public and private sector universities of Punjab and Sindh, Pakistan. The universities were Bahauddin Zakariya University, The Islamia University of Bahawalpur, University of the Punjab, Government College University Faisalabad, University of Sindh, Shah Abdul Latif University, and University of Karachi. A sample of 467 participants was surveyed. The sample was selected using the convenience sampling method. The researcher collected the data using an online survey created in Google Forms. The survey was distributed via university email groups, WhatsApp groups, and other academic online platforms. The researcher downloaded the responses, and data were screened and transferred to IBM SPSS Statistics for analysis. The researcher applied descriptive statistics to analyze participants' demographic data, and used Cronbach's alpha to evaluate scale reliability. To study the relationship of artificial intelligence-based education and the mental health of students, the researcher applied Pearson correlation analysis, and for the role of digital innovation, the researcher employed multiple regressions. The researcher employed an independent samples t-test and a one-way analysis of variance (ANOVA) to assess the impact of demographic variables on students' mental health. The results showed that student psychological well-being improved with Artificial intelligence-enhanced education integrated with digital innovation. Furthermore, developing more engaging, personalized, and supportive learning environments improved student psychological well-being. Implementing Artificial Intelligence ethically and human-centered in psychologically supportive educational practices helped balance innovative technologies with student mental health. The results add to current understanding of Artificial Intelligence in higher education and provide insights for educators, university administrators, and policymakers, as well as educational technologies, to create more sustained digital transformations for greater student psychological well-being.
Amber Sarwar Hashmi, Amjad Hussain, Aisha Aslam et al.· Journal of Global Social Tra...· 0 citations
The rapid integration of generative artificial intelligence (GenAI) into higher education is reshaping how university students engage in learning, reasoning, and problem solving; however, the cognitive mechanisms underlying the effective use of these technologies remain insufficiently understood. This study examined the relationships among cognitive flexibility, GenAI adoption, metacognitive awareness, and problem-solving performance among university students, with particular emphasis on the mediating role of metacognitive awareness. A quantitative, cross-sectional research design was employed with a sample of 477 university students recruited from higher education institutions in Punjab and Sindh, Pakistan. Data were collected through an adopted and contextually adapted structured questionnaire administered online using Google Forms. The collected responses were systematically organized and analyzed using appropriate statistical procedures, including Pearson correlation analysis, multiple linear regression, one-way analysis of variance, and mediation analysis. The findings demonstrated significant positive relationships among cognitive flexibility, GenAI adoption, metacognitive awareness, and problem-solving performance. Cognitive flexibility, GenAI adoption, and metacognitive awareness also emerged as significant predictors of students’ problem-solving performance. Furthermore, students with higher levels of GenAI adoption demonstrated comparatively stronger problem-solving performance than those with lower levels of adoption. Mediation analysis further revealed that metacognitive awareness significantly mediated the relationships between cognitive flexibility and problem-solving performance and between GenAI adoption and problem-solving performance. These findings highlight the importance of students’ capacity to monitor, regulate, and evaluate their own cognitive processes when engaging with AI-generated information. The study contributes to the emerging literature on GenAI in higher education by demonstrating that the educational value of these technologies extends beyond technological adoption and is closely associated with students’ cognitive flexibility and metacognitive capabilities. The findings provide implications for educators, policymakers, and university administrators seeking to develop learner-centered and AI-integrated educational environments that strengthen independent thinking, reflective learning, adaptive cognition, and problem-solving capabilities while minimizing passive dependence on AI technologies.
Ali Yousuf Khan, Maryam Aslam, Amber Baig et al.· Journal of Global Social Tra...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
