Limkokwing University of Creative Technology

This study explores the integration of minority indigenous languages in political participation on social media in Lesotho. Data were collected through face-to-face interviews with minority language speakers. Findings reveal that there is no language diversity on social media platforms because only Sesotho and English are dominant, thus leaving out the other minority languages such as siPhuthi, isiZulu and isiXhosa. This suggests that minority language speakers do not participate in political matters that affect them. The study argues for the integration of minority languages in all social media platforms so that information can be accessible in all languages spoken in Lesotho.

As universities become connected across the globe through a competitive and digital process, the factors affecting students' choice of university are now a primary concern. Deciding which university to attend is now influenced by a combination of personal interests, societal expectations, how outsiders perceive the school and its features. A Hybrid Inception-Transformer model is introduced here to help analyze student choices in universities while involving various stakeholders and other social measures. Surveys were given to 500 individuals made up of students, parents, faculty and administrators in both private and public schools. The model uses both types of layers to first focus on patterns near to a student and then look further for relationships between all the aspects of university choice: personal interest, career aims, family guidance, trusted influences, help from the university and what is widely expected by society. The new model achieved a very accurate result compared to logistic regression (accuracy 74.1 %) and random forest (accuracy 83.6%), attaining accuracy of 94.2%, precision of 93.4%, recall of 91.5% and F1-score of 92.4%. Attention-weighted embeddings pointed out that person's own interests and future career goals significantly predict success, while confidence in the university counselors and their support were major factors in the equation. The hybrid framework makes it possible to understand what is important in the model by examining attention and rankings of features which benefits both targeted admissions and student involvement.

This study aims to investigate the effectiveness of group counseling in improving student achievement in the subject of Natural and Social Sciences at MI Maraqitta’limat Lengkok Lendang. The research is grounded in the growing need for innovative educational approaches that address not only academic content but also students’ motivation, collaboration skills, and personal development. Utilizing a classroom action research (CAR) method, the study was conducted in two cycles, each consisting of planning, action, observation, and reflection stages. The subjects were fifth-grade students who demonstrated low academic performance and limited participation in classroom activities. Data collection methods included tests, observations, field notes, and student interviews. The results indicate a significant improvement in student learning outcomes after the implementation of group counseling. In Cycle I, only 56% of students reached the minimum competency standard, whereas in Cycle II, this number increased to 87%. Furthermore, qualitative data revealed an increase in students’ motivation, self-confidence, and ability to work cooperatively with peers. The findings suggest that group counseling is an effective strategy to enhance not only academic achievement but also affective and social aspects of learning. Therefore, it is recommended that educators consider incorporating group counseling techniques into their teaching practices, especially in subjects that require critical thinking and interpersonal skills. This research contributes to the broader discourse on holistic education and offers practical implications for teachers, school counselors, and educational policymakers aiming to foster inclusive and supportive learning environments.

This qualitative study explores the underlying organizational and cultural drivers behind the turnover intentions of healthcare professionals in Pakistan. Through 28 in-depth interviews with doctors, nurses, and paramedical staff from both public and private hospitals, the research investigates how abusive supervision, job stress, organizational culture, and hierarchical norms contribute to dissatisfaction and the desire to migrate or resign. Using thematic analysis and NVivo 12 software, several patterns emerged, including the normalization of obedience, resistance to authoritarian decisions, and frustration over professional disrespect. The study finds that power distance—a deeply ingrained cultural dimension shapes how subordinates respond to stressful and unjust work conditions. Moreover, burnout, departmental politics, and lack of resources are cited as key reasons for migration, particularly among young professionals. The findings contribute to a culturally contextualized understanding of turnover and call for policy-level interventions that address structural and interpersonal dysfunctions in the healthcare system. Keywords: Turnover intention, qualitative interviews, healthcare, Pakistan, power distance, job stress

The current research explores the counterproductive aspects of charm in the context of counterfeit cosmetics and the purchasing intention of Bangladeshi undergraduate students. The study examines four hypotheses: H1) A correlation exists between ostentation and affordability. H2) A correlation exists between ostentation and psychological contentment. H3) A correlation exists between psychological contentment and affordability. H4) There is a correlation between affordability, lack of knowledge, and purchasing intention. Data for this study was obtained via an online survey, with a total of 147 participants. All predictions were confirmed, demonstrating a robust correlation between exhibitionism, affordability, psychological contentment, and purchasing inclination in the context of counterfeit cosmetics among undergraduate students from Bangladesh. The results of this study can offer valuable perspectives for domestic and international cosmetic brands regarding customer perceptions of the market and the determinants that impact their purchasing, preference, and loyalty choices.

In traditional e-commerce websites, consumers’ evaluation of products will affect new customers’ decisions on whether to buy the products. Some fraudulent merchants manipulate consumers’ online comments for their interests, and multitudes of fake comments abuse consumers’ rights and interests and the development of traditional e-commerce. The purpose of the present work is to detect and identify fake comments through user behavior classification. A series of innovative research works are carried out around the user behavior recognition task from four aspects: extraction and description of low-level behavior features, spatial representation of high-level user behavior, design of behavior classification model, and user behavior detection in unsegmented text. A feature extraction model based on the super-complete independent component analysis algorithm and a behavior classification model via attention mechanism are proposed. Moreover, a feature source discriminator is designed, and adversarial learning is used to optimize discriminator loss and generator loss. Finally, an experiment is implemented to test the effects of attentional mechanism and adversarial learning on the text retrieval model and visualize the results. In this experiment, the text retrieval algorithm based on a stacked cross-attention mechanism and adversarial learning retrieves the Microsoft Common Objects in Context (MS-COCO) and Flickr30K data sets on mainstream transmedia. The experimental results demonstrate that the stacked cross-attention mechanism has an excellent matching ability of fine-grained hierarchical features; the average accuracy of the algorithm after improvement increases from 81.23% to 83.11%. Besides, the prediction accuracy coverage is above 95%, which can significantly improve the predicted effect of text characteristics and image features, thus enhancing the accuracy of text retrieval and classification. The research has a certain experimental reference value for the classification and discrimination of business users’ behavior.

This research paper presents the COVID-19 situation and early control measures the Government of Pakistan took. The first coronavirus case was confirmed in Pakistani on February 25, 2020. To avoid any disastrous situation, The Pakistani Government has done everything possible to reduce the number of coronavirus cases across its provinces as much as possible up until now. We have investigated Pakistan's thorough response compared to the neighboring country China. The researcher performed trend analysis based on the data from the official COVID-19 record website of the government of Pakistan and GitHub - JHU CSSE for China. The data indicates a decline in COVID-19 cases and a high recovery rate in Pakistan. No double-figure positive cases from the last few weeks are recorded as of March 16, 2023. We have compared the strategies of Pakistan to combat COVID-19 with China as it shut down its border from March 2020 to October 2023 to protect its social system. On the other hand, Pakistan didn't shut down the border completely during COVID-19. According to the findings, we can state that no large-scale death toll has been recorded in Pakistan. Pakistan maintains its survival during COVID-19 due to the efficient cooperation of the stakeholders in the light of the Actor-Network Theory. Despite the lack of effective antiviral treatment, Pakistan took proactive steps to combat coronavirus. Furthermore, the lockdowns and other preventative measures implemented by the provincial governments led to decreased COVID-19 cases in the nation. The fact that only 4% of Pakistan's population is over 60 indicates less risk of a COVID-19 outbreak leading to a large-scale death toll. Despite the lack of effective antiviral treatment, Pakistan took proactive steps to combat coronavirus.

The aim of the study was to investigate the impact of social media marketing on the purchase intention of Fashion/textile product buyers. It was also aimed at measuring the role of brand loyalty towards purchase intentions of the customers of (1) Lu Thai Textiles and (2) Weiqiao Textiles from customer in Ghuangzhou city, China. In order to achieve the aims of the study, 150 responses were collected through structured personal administered questionnaire with close ended options. Statistical procedures for Social Sciences (SPSS) have been implied for the analysis purposed on the data collected after convinces sampling method. Study found that social media marketing and brand loyalty has significant positive impact on purchase intention of the buyers of the fashion products. This study has been done by the limited number of the customers comprising of two brands only in Guangzhou city, china. Future researchers are advised to conduct same study in other parts of the country by including more variables so the results could be generalized and used at vast level. Marketing managers are also advised to consider social media marketing as an effective tool to influence the customer buying intentions and it can be the technique through which they can be at the abreast of the competition.

<p>With an aim to find out a way towards the future of green supply chain management practices and its impact on organizational outcomes, this investigates the available literature on green supply chain management. For this purpose a number of studies are being briefed in this manuscript to ensure that the researchers can get a guidelines and move forwards towards the deeper undemanding of the work already have been done and take it as a starting point for further research, as advised by most of the authors that it is required. This going to lead the practioners of supply chain management exercised around the globe in general while apparel industry of China in specific. After explaining a background and introduction to the topic this study discusses one by one the work already done in the area of green supply chain management practices and then firm performance as an outcome. It further highlights the problem prevailing in the area which provides a starting point for researchers and practioners</p>

This particular study is based on impact of cloud computing in IT industry of Malaysia. Globalisation and industrialisation have enhanced the importance of technological advancements in all business sectors. These can foster business financial growth. On the other hand, pandemic situation has brought different adversities in social conditions of local people. This has increased the importance to implement this technology that has ability to resolve the financial and social conditions as well. This is the reason, developing countries such as Malaysia has adapted this approach. This study has been accomplished with “positivism philosophy, deductive approach and secondary data collection method”. Proper justification with the research objectives has been provided in the last section of this study.