Review of Applied Management and Social Sciences (RAMSS) (E-Journal)
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397 research outputs found
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Factors Influencing Individual Investors to invest in Pakistan Stock Exchange (PSX)
Full text linkThis study explores the various factors that influencing individual investor performance towards Pakistan Stock Exchange (PSX), highlighting on the relationship of accounting information (AI), demographic factor (DF), and credibility factor (CF), reliability factor (RF) and religious & norms factor (RN). The consequence of this research influence to understanding the difficulties of individual investor’s decision making process in an emerging economy, mainly in Pakistan, where the monetary markets are developing quickly, and the part of individual investors is gradually critical to monetary development. The main goal of this research is to inspect the amount to which these elements effect the investment choices of investors in the Pakistan stock exchange (PSX). The precise objects include measuring how demographic factor like person age, level of education, gender, and relationship status would impact individual investor conduct, studying the part of accounting info in determining investor belief and insights of value, assessing the impression of the supposed trustworthiness and consistency of financial organisations on investment choices, and discovering how spiritual norms effect investment actions.
This study conducts a quantitative method, using a survey practice to collect primary data from individual investors (II) in Karachi, through an entire of 220 respondents who filled the survey. The findings disclose numerous critical understandings like substantial changes in investment conducts are obvious across numerous demographic parts, with newer stakeholders representing a greater feeling toward digital exchange platforms
The Role of Sustainable Leadership in Delivering Frugal Innovation in Pakistan: A Mediated Moderation Model
Full text linkInnovation and sustainability are important priorities in current business landscapes. This study carries extreme importance in revealing how sustainable leadership (SL) delivers frugal innovation (FI) in organizations. Moreover, insights into the mediating effect of knowledge management (KM) and the moderating role played by collaborative culture (CC) and market turbulence (MT) for the relationship offers important information for managers looking to formulate effective strategies. This research has been quantitative in nature and used cross-sectional research design. A questionnaire was constructed for data collection and an organization was the unit of analysis. The data collection was made from top level and middle level managers working in e-commerce, IT, tech based, and handicraft firms in Pakistan. Based on a sample of 250 companies and using SmartPLS 4.0, this study reports its findings as follows. Sustainable leadership positively contributes to frugal innovations and knowledge management plays the role of complementary mediator in the relationship. Moreover, when market turbulence is greater and an organization has highly active collaborative culture, the effect of SL on FI is more pronounced. This research contributes to organization leadership theory, knowledge based view, innovation diffusion theory, social exchange theory, and industrial organization theory through its findings. It provides empirical evidence in the context of a growing economy i.e. Pakistan by establishing a positive link between SL and FI. It suggests managers focusing on frugal innovations to promote sustainable leadership and cultivate an environment of collaborative culture to be successful in the marketplace.
Greening the Workforce: How Ability-Oriented HRM Cultivates Environmental Performance through Green Competencies
Full text linkWe tested the interplay between human resource management (HRM) practices—specifically ability-oriented practices—and the environmental performance (OEP) of organizations, both directly and through green competencies. The study collected cross-sectional data from employees working in managerial-level positions in pharmaceutical industries in Pakistan through a structured questionnaire. The proposed theoretical framework is tested via structural equation modeling (SEM) technique using SmartPLS version 3.0. The results showed that ability-oriented HRM practices significantly determine the OEP. The results further confirmed that employee’s green competencies significantly play a bridge role between ability-oriented HRM practices and OEP. The study contributes to the literature through empirically demonstration that how bundle of ability-oriented HRM practices relate to OEP via employee’s green competencies. The study also provides valuable practical implications for managers and organizations
AI as a Cognitive Assistant Investigating It's Role in Enhancing Memory Attention and Learning Outcomes
Full text linkThe current research examined how cognitive assistants can improve the memory outcome, focus, and general learning performance among Pakistani teachers. The quantitative research design was used and 200 teachers were used to collect data by use of self-administered questionnaire. Regression, multiple regression, correlation, and ANOVA tests were done to investigate the effects of using cognitive assistants and cognitive performance. The results showed that cognitive assistants had a high positive effect on memory retention (B = 0.621, p < 0.001) and attention/focus ( r= 0.578, p < 0.01). Further results of multiple regression showed that cognitive assistants along with memory retention and attention had a significant influence on overall learning outcomes (R2 = 0.610, p < 0.001). These findings suggest that cognitive assistants are useful external cognitive aids that decrease cognitive load, enhance focus, and lead to self-regulated learning. The research presents the significance of introducing AI-based cognitive technologies in learning environments to improve academic achievement and student interaction. Some of the recommended measures are training of teachers, customized learning, and constant evaluation of AI-based interventions, but the future studies can focus on the impacts in the long term and domain-specific use. 
Globalization, Renewable Energy, Environmental Quality, Technological Innovation, Institutions
Full text linkThis study explores how different dimensions of globalization economic, social, and political shape environmental quality emerging economies from 2011 to 2024, based on data availability. Environmental quality is captured through a comprehensive index covering lead exposure, outdoor air pollution, particulate matter, and waste recovery. Using panel quantile regression (PQR), the analysis identifies a U-shaped relationship between overall, social, and political globalization and environmental quality, while economic globalization follows an inverted U-shaped pattern, consistent with the Environmental Kuznets Curve hypothesis. Renewable energy consumption improves environmental outcomes but also moderates the globalization environment relationship. Its interaction with most forms of globalization increases environmental pressure, except in the case of political globalization, where it helps reduce deterioration. This aligns with institutional theory, suggesting that stronger political systems can turn globalization into a force for sustainability. Among the control variables, technological innovation helps reduce environmental stress, while weak institutions intensify it. The findings provide valuable insights for aligning globalization and renewable energy strategies toward better environmental outcomes
The Influence of AI-Powered Tutoring Systems on Students’ Academic Confidence and Persistence
Full text linkThis paper will analyze how AI-based tutoring systems can promote academic confidence and persistence in the students of higher institutions of learning. The quantitative research design was utilized and 200 undergraduate students were used to collect the data through the use of a structured questionnaire. Simple random sampling was used to select the participants and data were analyzed by use of descriptive statistics, correlation, regression and one-way analysis of variance (ANOVA). The results show a social demographic balance between the respondents and indicate that a significant percentage of students already have experience using AI-based tutoring systems. The correlation analysis shows that there is a strong positive correlation between the use of AI-based tutoring systems and the level of academic confidence among the students. Moreover, regression analysis shows that the systems of AI-based tutoring usability have a significant predictive effect on academic persistence, which is controlled by a significant percentage of the variation in the level of persistence. The ANOVA findings also show statistically significant variability in academic persistence between different levels of academic confidence, which shows the interdependence of academic confidence and persistence in learning with AI-supported settings. All in all, the paper finds that AI-driven tutoring applications are effective in increasing academic confidence and perseverance of students in addition to sustaining cognitive and motivational aspects of learning under appropriate implementation at the higher education level
Exploring the Impact of AI- Powered Assessment Tool on Test Anxiety and Academic Self –Efficacy
Full text linkThis paper examined how AI-powered assessment tool affected the test anxiety and the academic self-efficacy of students. This was meant to analyze whether or not the use of artificial intelligence during assessment can help cut down on the stress and increase confidence concerning academic performance. The measurement was a quantitative design of research, and the study material was obtained in the form of a structured survey among the students of the university. The sample consisted of 280 respondents that were identified by random sampling. The statistical analysis was performed with the aid of the SPSS software, where the demographic variables were described with the help of descriptive statistics whereas the inferential techniques were used to test the connections between AI-powered assessment, test anxiety, and academic self-efficacy. The results indicated that AI-informed evaluation instruments limited the amount of test anxiety among students through prompt feedback, individual assessment as well as adaptive questioning practices. In addition, the results suggested the very close positive relationship between the practice of AI-based assessment and academic self-efficacy, since the respondents claimed to be more empowered, motivated, and confident in their performance results. The discussion implied that the AI-controlled tools would assist in streamlining the process of teaching to create a fair, clear and student-focused environment in order to mitigate emotional pressure during the examination and strengthen the force of personal beliefs. The present work reaches a conclusion that AI-based assessment software has the potential to be effective in the context of addressing the emotional and academic needs of students. In the study, their inclusion into tertiary education is suggested to improve the quality of assessment and well-being of students
Sustainable Leadership's Impact on Environmental Performance: The Mediating Role of Employee Green Behavior and the Moderating Influence of Environmental Knowledge
Full text linkThe current study examines the impact of sustainable leadership on employees' environmental performance in the oil and gas sector. It explores the mediating role of green behavior and the moderating role of environmental knowledge in this relationship. A moderated mediation analysis was conducted using 250 valid responses from 320 online questionnaires. Hypothesis testing was performed using SPSS and SmartPLS to ensure robust statistical analysis. The results show that environmental performance and sustainable leadership are positively related. The association is moderated by environmental knowledge to boost the effectiveness of sustainability programs. Additionally, employee green behavior mediates the effect of leadership reinforcing the idea that substantiality-driven employee actions improve overall environmental performance. The results also indicate a gap in the implementation of sustainability leadership practices, emphasizing the need for training programs to enhance employees' environmental awareness. By linking environmental knowledge, leadership, and employee behavior, the study contributes to the growing body of knowledge research on sustainable leadership. It offers practical recommendations to the oil and gas industry for strategic leadership approaches that integrate sustainability training and employee engagement. Ultimately, this research provides a roadmap for organizations seeking to maximize their environmental impact through proactive and informed leadership
Balancing Growth and Sustainability: Foreign Direct Investment, Renewable Energy, and Environmental Quality in OECD Economies
Full text linkThis study focuses on the roles of foreign direct investment (FDI), renewable energy, urbanization, natural resources, and gross domestic product (GDP in environmental degradation in 38 OECD countries. This study uses panel ARDL covering data 1998-2023. The results from the Panel ARDL model indicate that FDI, natural resources, and GDP have a positive impact on CO2 emissions, supporting the Pollution Haven Hypothesis, which describe that countries with negligent environmental principles attract pollution-intensive industries. Renewable energy and urbanization negatively impact CO2 emissions means cleaner technologies and efficient urban planning moderate environmental degradation. The positive impacts of both GDP square and GDP cube on CO2 emissions in models suggest an N-shaped relationship, indicating that while initial economic growth increases emissions. This points to complex dynamics where higher economic development can lead to recurring cycles of environmental degradation rather than a simple inverted U-shaped EKC
Investigating the Future Role of AI in Therapeutic Settings and whether AI will Eventually Supplement or Replace Human Counselors
Full text linkThis study examines the existing role and prospects of Artificial Intelligence (AI) in mental health therapy, evaluating whether AI can augment or supplant human counselors. This research employs a quantitative methodology on a sample of seven Pakistani startups that provide AI-driven mental health solutions. The CEOs of these firms were approached with a self-administered questionnaire to collect data on the effectiveness, limitations, and potential of AI in providing therapeutic interventions. The gathered data underwent correlation analysis, regression analysis, and post-hoc statistics to identify linkages and trends. Statistical research demonstrated a strong association between the accessibility and scalability of AI and treatment outcomes, whereas the limitations of AI were apparent in addressing complex mental health issues. Furthermore, AI was determined to augment rather than supplant human therapists, with notable disparities observed across various organizational sizes. The study emphasizes the supportive function of AI in mental health therapy, while underscoring critical attributes of human counselors, such as empathy and personalized care