Review of Applied Management and Social Sciences (RAMSS) (E-Journal)
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The Influence of Technology on Contemporary English Vocabulary: Neologisms and Digital Discourse
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This qualitative research explores the impact of technology on contemporary English vocabulary, focusing on neologisms and digital discourse. The study was conducted through semi-structured interviews with 12 English-speaking teachers from universities in Punjab, Pakistan, chosen for their deep engagement with both language and technology. The research aimed to understand how technological advancements influence language use in academic and professional contexts. Data collection was done via interviews, and the subsequent thematic analysis was carried out to extract dominant themes and trends. It was evident that there was significant change in words used due to the introduction of new neologisms, such as "selfie," "meme," "hashtag," and "streaming," all of which have their origin from the digital age. Moreover, other digital terminologies like "cloud computing," "IoT," and "AI" have become extensively absorbed, indicating a growing trend toward the convergence of technology and language. The study also found changes in communication styles, which include increased informality in teaching and professional settings, where there is a presence of abbreviations, emojis, and slang. These changes represent a broader shift toward digital discourse, in which social media has significantly impacted the use of language. Regarding teaching practices, technology has become an integral part of methodologies through interactive tools and digital assignments, further changing the learning environment. However, though some participants adopted these new lexical elements, others opposed them and stuck to the original vocabulary. Thus, this research demonstrates the extent to which technology impacts language: opportunities and challenges in the developing vocabulary of modern English
Investigating how Artificial Intelligence AI Systems Powered by Emotional Recognition Technologies can Assist in Conflict Resolution by Understanding Human Emotions and Behavior
Get PDFThis study looks at the potential of emotional detection technology using artificial intelligence to assist university administration in Pakistan in resolving conflicts. Sixty deputy directors from institutions within provinces of Punjab and Khyber Pakhtunkhwa (KPK) took part in the quantitative study. A self-completion survey consisting of Likert scale items was employed to collect data. The survey touched on issues such as the effectiveness of communication, empathy, accuracy, and ethical matters related to artificial intelligence. Through regression analysis (Beta coefficients ranging from 0.59 to 0.76), post-hoc analysis (ANOVA F-values ranging from 4.78 to 7.12), and correlation analysis (Pearson correlation coefficients ranging from 0.62 to 0.82), 60 individuals constituted the sample. Based on the findings, AI not only identifies geographical and experiential differences, but also significantly improves communication, accuracy, and empathy in conflict resolution. Ethics, privacy, and prejudice were also discussed in the study. It highlights the ethical implications of AI while presenting evidence that it could be beneficial in resolving disputes
Bringing Meaning to the Salespersons’ Performance: The Effect of Salespersons’ Emotional Regulation and Salespersons’ Selling Skills
Get PDFThe purpose of the study is to make a pragmatic contribution by confirming the usefulness of the suggested theoretical framework and to test a research model confined to realistic proxy variables integrated into the framework of performance. The study's goal is also to substantiate that the suggested, multi-stage structure will verify the underlying process by which salespeople can achieve higher performance in the pharmaceutical sales context. This study proposes the process-based framework of salespersons’ performance given a few certainties significant in the pharmaceutical sales performance today i.e., customer orientation of the salespeople due to increased demand of customers for a total solution, emotional regulation, and sales-related skills to meet the challenging competition. An argument is presented that proposes that there are supplementary, probable stages in the overall sales process. The research model is developed to test pieces of this process framework. Downstream salespersons’ behaviors and the outcome of these behaviors are thus the central idea of this framework. Data was collected from pharmaceutical salespeople (n = 300) from 20 pharmaceutical firms (national and international). The paper concludes with a summary of managerial and theoretical implications and research limitations as well as proposed future directions for researchers. This research offered more of a direct consequence to senior and field managers. The precise characteristics of the pharmaceutical salespersons i.e., salespersons’ customer orientation are influenced by the servant leadership style of field managers, and emotional regulation and selling skills do play an important role in boosting their performance. We also found a major variance in salespersons’ performance that was attributed to emotional regulation and selling skills. This offers concrete proof that the outcome salespersons bring in as a result strong emotional regulation and professional selling skills are significant drivers of performance. The downstream effects that result from the servant leadership style of field managers drive performance. The results show a promising configuration of relationships within the proposed model
Exploring how AI can be used to Promote Collaboration in group Project reduce Conflict in Team Dynamics and Enhance Cooperative Learning Experiences
Get PDFThis paper aims to determine how artificial intelligence facilitates cooperation, minimizes conflict, and increases cooperative learning among group project teams comprising university students and instructors. The quantitative approach is applied to collect data from a sample size of 250 students and 150 instructors recruited using probability sampling methods from universities across Punjab. A self-administered questionnaire is used for the data collection purposes based on AI tools utilization, improved communication, and resolution of conflict between them along with general results of learning. Statistical methods, such as Pearson's r correlation analysis, regression analysis, and post-hoc tests were applied to analyze the data. All results obtained are positive; that is, utilization of artificial intelligence had relationships with improvements in collaboration (r = 0.76), communication (r = 0.72), coordination of tasks (r = 0.78), conflict reduction (r = 0.80), and the outcomes of learning (r = 0.75). Regression analysis has verified that AI tools are strong predictors of these changes, as the p-values are less than 0.05. This study emphasizes the strength of AI-driven tools in enhancing teamwork, reducing interpersonal conflicts, and encouraging cooperative learning in group settings. Therefore, the implications of the findings are very critical for the utilization of AI tools in educational settings
Impact of Workplace Ostracism and Low Emotional Intelligence on Knowledge hiding with the Mediating role of Employee Silence
Get PDFThis study investigates the influence of workplace ostracism and low emotional intelligence on behaviors of employees due to knowledge hiding, with a focus on mediating role of employee silence. Data were collected from 123 professional employees in the financial sector (Banks) of south Punjab region using a five-point Likert scale. The findings reveal that workplace ostracism has a significant positive effect on knowledge hiding, though no substantial relationship was found with rationalized hiding. Specifically, workplace ostracism exacerbates employee silence and increase job tension, with employee silence serving as a mediator in the link between ostracism and knowledge hiding behaviors
Impact of Fintech Adoption and Financial Literacy on the Performance of Banking Sectors
Get PDFIn the paper, unique interdependences of?financial literacy, fintech use, and the impact of these mediators on the banking sector performance are stressed. This research gives closer attention to the influence of the use of fintech technologies and the development of financial literacy on the?efficiency and effectiveness of the banking institutions and their financial performance and security. The study design is strong as well, based on rigorous investigation methodology,?and comprehensive review of the literature. The use of both quantitative and qualitative?data methods and multiple data sources contribute to a rigorous methodological approach to an in-depth analysis of the issue. Among the key findings are enhanced service delivery,?cost efficiency, and increased customer engagement as a positive result of the fintech penetration on performance of the banking sector. And it underscores the need for financial literacy programs in building customer confidence and the?frictionless adoption of fintech innovation into everyday business processes. The thesis thoroughly analyzes several challenges and limitations, adopting a subtle perspective on the complex issues surrounding the integration of fintech and advancing financial literacy within the banking sector. This research has real-world implications for banking institutions and policymakers, and it adds useful information to ongoing financial industry discourse. In summary, this thesis promotes further research and discussion by being a significant contribution to the evolving intersection of technology, finance, and education
The Construction of Beauty and Self-Perception in Fashion Magazines: A Feminist Critical Discourse Analysis (FCDA)
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The Study highlights the depiction of beauty in fashion publications, especially “MAG” the Weekly. It attempts to analyze the impact that words and images printed in these publications have upon the understanding of beauty and confidence among readers. Using Lazar’s Feminist Critical Discourse Analysis (FCDA), the study illustrates how Asian traditional concepts of beauty are westernized and how that blend impacts women’s perception of self-image. The research employed a qualitative approach, drawing on content from three months’ worth of MAG Weekly. It explored the texts for pictorial representations of beauty as well as visuals and their consequent effects on women’s self-esteem. The results indicate that this magazine endorses unattainable standards of beauty that are seldom achievable. Such standards impose immense psychological stress on women, compelling them to standards defined by youth, light skin, and fashion obsession, which either causes social exclusion or deep-rooted insecurity. This also shows how culturally feminine contexts worsen these ideas. In settings where competing forces of tradition and modernity coexist equally in society, women find themselves torn between antiquated ideals and contemporary trends. This poses an argument that is widely accepted, which stipulates that fashion magazines largely influence societal definitions and perceptions of beauty for women
The Influence of Adaptive AI Learning Systems on Cognitive Load and Academic Persistence
Get PDFThe present study examined the correlation between the use of adaptive AI learning systems, the cognitive load of university students in Punjab, Pakistan, and persistence in terms of academics. Quantitative research design and information gathered among 300 undergraduate and graduate learners that have completed one or more courses with the adaptive AI platform was employed. Women were represented in the different demographics through stratified random sampling. Statistical methods to analyze the data were used to understand the relationships, predictive effects and group differences. The outcomes indicated a strong negative correlation between adaptive use of AI and cognitive load, which means the AI-based learning tools assist with a reduction in the mental effort required in the learning process. Regression analysis indicated that adaptive AI use also had a significant effect on the prediction of academic persistence that implies that AI learning assistance provided on a personalized level encourages students to endure in their studies. Independent t test showed that academically surveyed students whose AI usage was high recorded a far much significant resulting academic persistence as opposed to the surveyed students whose usage of AI was low. Such results agree with other studies which conclude on the importance of technology enhanced learning in enhancing education. The study summarizes that the role of adaptive AI learning system is a potentially valuable guide to establishing enjoyable, individualized and effective learning experiences. The next studies should incorporate long-term impact on AI integration and bring the ethical aspect to it to the fullest in terms of maximizing the good and ensuring equity and fairness
Teacher-AI Collaboration: Psychological Effects on Teaching Identity and Instructional Confidence
Get PDFThe present study described the impacts of the adoption of Artificial Intelligence (AI) tools on the professional identity and the teaching confidence levels of the teaching staff and, in more detail, the degree to which collaborative work with AI influences the teaching effectiveness of its employees. In the context of quantitative research design, the information has been sampled amongst the 250 teachers who have been invited to work based on the AI equivalents as applied in school and higher education. The sample was picked through the use of a simple random sampling method and a survey was administered to measure how the AI is used by teachers, their level of confidence in the use of AI, their identity and confidence in AI. The results indicated that there was a significant positive association involving the use of AI and the instructional confidence of teachers i.e. AI is effective in reducing workload and providing teachers with time to perform more creative tasks when teaching. Moreover, the teacher-AI collaboration influenced the positive change in the professional identity of the teachers, being preoccupied with the sense of undervalues or lacking control. The most significant was the role of the trust in AI and its significance was identified that the greater the trust, the more effective teaching has been qualified by the teachers. It is observed in the given study that there is a need of proper training, continuous support and reliable AI systems so that the trust and the confidence of the teachers can be built. It even discusses the preservation of the human aspect to teaching with AI as an aiding component. 
What’s best for the Pakistan? EU and US AI Regulatory Models: A Comparative Study
Get PDFArtificial intelligence is swiftly emerging as a pivotal technology in the realm of global competition. While it offers revolutionary prospects for societal advancement, the technology simultaneously raises significant apprehensions regarding potential risks and detriments. Addressing these concerns and transforming technology into a responsible asset for humanity have been essential objectives in the developing global framework of AI governance. This study proposes doctrinal research method and comparative analysis of EU and USA jurisdictions. Regarding AI governance as an active negotiation and regulatory trajectory, the researcher investigated laws and policies on AI governance and the policy-making processes in both jurisdictions (EU & USA) and articulated two paths of balancing technology and ethics. This comparative study offers to further understand AI regulations and transparency patterns serves as a crucial link between the policy discourses on AI, frequently entangled in intricate legal discussions, and applied sociotechnical research on AI fairness, accountability, and transparency in Pakistan. This study concludes Pakistan’s first AI policy developed responsibly and deployed to unlock socio-economic progress and digital empowerment. This research also recommends global competitiveness and the local needs of Pakistan