Review of Applied Management and Social Sciences (RAMSS) (E-Journal)
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AI-Enabled Digital Technologies in Supply Chain Management for Competitive Advantage and Business Performance: A PLS-SEM Approach
Get PDFThe present study has examined the use of an AI-based supply chain management system (AISCM) and its positive impact on international business performance (BP). Herein, a sequential mediation analysis has been performed using SmartPLS-SEM 4.0, with the constructs of Unique Competitive Advantage (UCA) and Supply Chain Performance serving as mediating variables in the study framework. The research has been conducted on a population sample of operations managers and supervisors working in international firms in Pakistan who oversee supply chain operations or strategic planning of international business. A non-probability, purposive sampling technique was employed to recruit study respondents, and a sample size of 205 was selected for statistical analysis using SmartPLS. The study's outcomes are significant for both theory and practice. The study has extended resource-based theory by employing AISCM in the study framework. Asia-based global firms can gain substantially from the findings of this study. For future research endeavors, it is recommended that moderating variables be identified among the relationships between study variables. The research framework may also be checked in GCC countries for a regional perspective and generalizability
The Influence of Perceived Privacy Risk and Perceived Security Risk on Consumers’ Online Shopping Intentions in Pakistan
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The purpose of current research is to find the impact of perceived security and privacy risks on online shopping intentions of consumers in the education sector. The security and privacy risks being antecedents of online purchase intentions of customers examined with the help of quantitative research methodology. The quantitative research design followed survey method to collect data using convenience sampling. The questionnaires-based survey conducted to obtain responses and final analysis conducted on 350 duly filled questionnaires. Smart PLS 4.0 software utilized in which bootstrapping technique used for statistical estimations. The data found to be reliable using Cronbach’s alpha and composite reliability. All the items of variables found to be valid using cross loading and outer loading. The results indicate that perceived privacy risk negatively impacts online shopping intentions of consumers, while perceived security risk has no impact on online shopping intentions of consumers. Future research could explore the moderating effect of gender between relationships of perceived privacy risk, security risk and online purchase intentions of consumers. The study can utilize nonstudent samples in future for generalizability of research
A Systematic Review of Health Care Waste Management Practices and their Impact on Environmental Performance in Developing Countries
Get PDFHealth-care waste poses a significant threat to environmental sustainability and public health, necessitating effective waste management strategies. This study investigates the influence of Health Care Waste Management (HCWM) on Environmental Performance in Pakistan, with a specific focus on the role of employee knowledge in improving waste management practices. A systematic literature review was conducted using the PRISMA methodology, leading to the selection of 10 relevant studies. Through narrative synthesis and thematic analysis, the findings revealed that poor HCWM—such as inadequate segregation, weak regulatory enforcement, and improper disposal-contributes to severe environmental and health risks. Moreover, a lack of environmental knowledge among healthcare personnel often results in ineffective waste management systems. The study confirms a significant relationship between HCWM and environmental performance, highlighting that better staff understanding of HCWM leads to improved outcomes. However, the study is limited by its reliance on secondary data, a narrow scope, and the absence of quantitative analysis. Future research should adopt a longitudinal design with broader scope and include quantitative methods for more robust insights
Psychological Factors Influencing the Acceptance of AI Tools among Teachers and Students in inclusive Classroom
Get PDFThe present research investigated the psychological aspects that affect teachers and students in inclusive classrooms in public and private educational institutions in the Pakistani province of Punjab when artificial intelligence (AI) tools are implemented. Quantitative as a form of correlational research design, the additional data was collected according to the population of 250 people on the basis of whom standardized questionnaires were used to assess their perceptions in the rating scale of perceived usefulness, digital self-efficacy, technology anxiety, and the acceptance of AI tools. Data analysis was done using the methodology of the Pearson and simple linear regressions. These findings showed that the level of significant positive correlation between perceived usefulness and acceptance of AI tools is true and that perceived educational usefulness is considered to be a strong predict ant to the adoption of AI tools in an inclusive classroom. Digital self-efficacy has also been observed to be helpful in determining their readiness to acquire AI learning platforms owing to the high requirement of digital skills as an investment into matters of technology adoption. The negative correlation that turned out to be important is that between technology anxiety and AI tool acceptance where abnormal psychology towards technology prevents the use of technology in an inclusive learning environment. The same results confirm the application of available theories of technology adoption and also develop the frameworks that will be applied in culturally localized and all-inclusive classrooms in Pakistan. 
Cognitive Development in the Age of AI how AI Tools Influence Problem Solving and Creativity in Psychological Terms
Get PDFThis study focuses on the effects of AI tools on cognitive development, problem-solving, creativity, and psychological well-being among tech professionals, creative professionals, students, and entrepreneurs in Punjab, Pakistan. The quantitative research design was used with a sample size of 350 respondents selected through snowball sampling. Data were gathered using a self-report questionnaire, which measured the main variables concerning cognitive abilities and mental health. Data analysis: The interactions between AI tool use and various cognitive and psychological outcomes were explored using regression analysis, correlation analysis, and ANOVA. It was observed that AI tools positively affected problem-solving, creativity, and mental well-being significantly with significant differences across professional categories. Regression analysis revealed strong predictive relationships, whereas correlations revealed that there are significant relationships between AI use and cognitive functions. ANOVA testing revealed that there was a significant difference in cognitive flexibility and stress levels between groups. These findings underscore the role of AI tools in enhancing cognitive abilities and mental health
Social Media Marketing and its Impediments on Customer’s Post Purchase Behaviour
Get PDFThis study examines the impact of social media advertising on customer post-purchase behavior, highlighting both its blessings and impediments. Using a quantitative research approach, records turned into amassed from a pattern of a hundred respondents to investigate the relationship between social media marketing techniques and publish-buy delight, loyalty, and purchaser believe. The examine hired SmartPLS for records analysis, permitting a strong exam of structural relationships and latent variables. The findings display that whilst social media advertising and marketing extensively impacts purchaser engagement and logo perception, it also contributes to submit-buy dissonance whilst expectations aren't met. Excessive promotional content, influencer endorsements, and centred classified ads often result in impulsive buying behaviour, which may also later result in remorse and dissatisfaction. Moreover, concerns associated with statistics privacy and facts overload in addition complicate the put up-purchase enjoy. The study shows that companies have to undertake moral marketing practices and enhance transparency, and awareness on personalised purchaser interactions to mitigate those negative results. These insights offer practical implications for entrepreneurs and business strategists aiming to optimize social media advertising for a wonderful consumer enjoy. Future research can explore larger pattern sizes and comparative analyses across industries to validate these findings similarly. This study contributes to the growing frame of literature on virtual advertising, offering actionable tips for enhancing the effectiveness of social media advertising and marketing techniques at the same time as minimizing its drawbacks
The Role of AI in Reducing Cognitive Overload Complex Learning Environments
Get PDFThe current paper has examined the use of Artificial Intelligence (AI) in the complex learning environment, considering how AI-based learning features (e.g., Intelligent Tutoring System, adaptive sequencing, automated feedback, and learning analytics) can be utilized to assist students in coping with the enormous learning demands. The research was conducted through quantitative research approach, where a sample of 280 undergraduate and graduate students doing different disciplines like engineering, statistics, computer science, and other sciences were utilized. Data collection was conducted with structured questionnaires and cognitive load scales and analyzed with SPSS 26 through the tools of statistical analysis such as the linear regression, correlation analysis and ANOVA. The demographic study revealed that gender, age groups, education levels, and fields of study were well represented so as to be generalized. Findings of the regression supported Hypothesis 1 indicating that there was a significant negative correlation between AI-based tool and cognitive overload; that is, greater AI support was associated with lower amount of overload. Hypothesis 2 was further supported by correlation analysis with the findings being that AI support and overload were strongly negatively correlated. Results of ANOVA Hypothesis 3 revealed that groups had significant differences, and the effects of AI tools were different among students based on their educational background. The findings are consistent with earlier researches and provide new data in contexts of complex learning. This paper explored that AI tools are effective in reducing cognitive load and enhancing learning, and has implications on curriculum design, equity, and the further adoption of technology
AI as a cognitive Coach Investigating it's Role in Enhancing Executive Function in Adolescents
Get PDFThe study examines the use of Artificial Intelligence (AI) to examine executive function skills of adolescents aged between 12 and 18 years. A quantitative research design used the collected data of 280 students who were randomly sampled in a stratified manner at the secondary school level. The research determined the effect of using AI coaching tools on valuable mental skills such as attention, memory, and self-control. The result showed a strong correlation amid the boosts in these executive functions and the AI cognitive coaching. Artificial intelligence tools supported a personalized and instant feedback that enabled the adolescents to practice and learn their skills better in comparison to any other tutoring method. The second result of the research was that AI coaching inspired and interested individuals by paying attention to individual learning needs and the emotional state. According to the statistical analysis, significant differences between the students who frequently used the AI coaching and those who did not use it obviously existed in the process of the executive functions development. The outcome revealed that the correlation was very high between these executive functions enhancement and the AI cognitive coaching. The personalized and instant feedback was facilitated by artificial intelligence tools and therefore allowed the teenagers to better learn their skills than by any other tutoring technique. The second finding of the study was related to the fact that AI coaching fascinated and motivated people through focusing on personal learning needs and emotional status. Based on the statistical analysis, there was obviously a significant difference between the students who widely used the AI coaching and those who did not use the latter in the process of the executive functions development
The Exploration of Undergraduate Students' Perceptions Regarding Challenges of English Language Learning as a Foreign Language
Get PDFThis study explores the challenges faced by undergraduate students at Sardar Bahadur Khan Women’s University Sub Campus Nushki in learning English as a foreign language. The study deals within Vygotsky’s socio-cultural theory, emphasizing how social interaction, cultural norms, and linguistic background effect English language acquisition. Using quantitative research design, data was collected through structured questionnaires from 170 students. The findings show key challenges, including mother tongue interference, a curriculum focused on rote memorization, lack of teacher preparedness, and restricted opportunities for real-life language use. Social discouragement and insufficient teacher engagement further affected learners’ confidence and motivation. The study concludes that refining teaching strategies, adopting bilingual methods, revising the curriculum to highlight practical skills, and increasing social support can significantly improve the English language learning skill. These perceptions are mainly applicable for under-resourced areas like Nushki and recommend guidelines for educational improvement and teacher development
Examining the Influence of Perceived Organizational Support on Employee Motivation, Job Commitment, and Organizational Loyalty in Modern Work Environments
Get PDFThis is a quantitative research that used the perception of organizational support on employee motivation, job commitment, and organizational loyalty in contemporary working conditions in Pakistan. A self-administered Likert-scale questionnaire was used to gather data on a sample of 210 students who are the future participants of the workforce and analyzed using regression, multiple regression and ANOVA statistics. The findings showed that perceived organizational support greatly contributes to employee motivation with 46 percent of the variance attributed to organizational support aspects. Research results on multiple regression further indicated that emotional, instrumental, and recognition-based support are the predictors of job commitment in the employees. Further, the outcomes of ANOVA have confirmed that there are significant differences in organization loyalty among different degrees of perceived organizational support, with the higher the perceived organizational support the higher the organization loyalty. The results are consistent with the rest of the literature which confirms the vitality of organizational support in influencing positive attitude amongst employees. The research arrives on the conclusion that motivation, commitment among employees as well as long-term loyalty can be contributed under the condition of creating favorable organizational environments. Strong leadership, better recognition system, better communication, and prospects of professional growth have been recommended. Future research requirements such as extended sampling, longitudinal and examination of mediators and moderators have also been identified in the research