Journal of Global Economics, Management and Business Research
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Shared Judicature Leadership and Online Connectivity Strategies of Teachers in Relation to Hybrid Teaching Strategy
No full textThis study determined the influence of shared judicature leadership and online connectivity strategies on the hybrid teaching strategy of teachers. A quantitative research design using the descriptive-correlational method was employed. The respondents comprised 146 public elementary school teachers in Governor Generoso District, Division of Davao Oriental. Validated and pilot-tested questionnaires were utilized to gather data, which were analyzed using mean, standard deviation, Pearson product-moment correlation, and multiple linear regression analysis. The findings revealed that the levels of shared judicature leadership (M = 4.35), online connectivity strategies (M = 4.14), and hybrid teaching strategy (M = 4.30) were all interpreted as very high based on the scale used. Correlation analysis indicated a significant relationship between shared judicature leadership (r = 0.373, p = 0.000), online connectivity strategies (r = 0.422, p = 0.000), and hybrid teaching strategy. Furthermore, regression analysis showed that both shared judicature leadership and online connectivity strategies significantly influenced the hybrid teaching strategy of public elementary school teachers (R² = 0.219, p = 0.000). Based on these findings, it is recommended that school leaders promote shared leadership practices and enhance digital infrastructure to support effective hybrid teaching. Teachers are also encouraged to engage in professional development that strengthens collaborative planning and digital integration
Self-directed Learning Practices and Leadership Style of Teachers in Public Elementary Schools
No full textThis study aimed to determine the significant relationship between self-directed learning practices and leadership style among public elementary school teachers in Tarragona District, Division of Davao Oriental. A descriptive-correlational research design was employed, with a sample of 156 public elementary school teachers in Tarragona District, Division of Davao Oriental. Data were gathered through standardized questionnaires administered via face-to-face surveys. The data were analyzed using mean, standard deviation (SD), Pearson product-moment correlation, and multiple linear regression analyses. The findings indicated that both self-directed learning practices and teachers\u27 leadership styles (democratic, autocratic, and situational) were rated as very high. Correlation analysis revealed a significant positive relationship between these variables. Additionally, the study found that various domains of self-directed learning practices, such as learning motivation (which emerged as the strongest predictor), planning and implementing, and self-monitoring, significantly influenced teachers’ leadership style. It is recommended that schools may implement programs that enhance both self-directed learning and leadership development by providing professional development opportunities, mentorship programs, and cultivating a collaborative school culture. Strengthening these aspects will support teacher effectiveness, instructional leadership, and the overall improvement of the teaching and learning environment
Effect of Goods and Services Tax Awareness on Jewellery Purchase Behaviour
No full textThe level of consumer awareness on GST is critical in perception building on value of products, fairness in taxation, and in making purchase decisions. The implementation of the Goods and Services Tax (GST) in India that took place on July 1, 2017, was an important change in the taxation system of the country that would consolidate various levels of taxation into one national system. The paper aims to assess the awareness level of consumers regarding GST applied to jewellery. The present study adopts a descriptive research design to analyze the level of awareness, perception, and influence of the Goods and Services Tax (GST) on consumer purchasing behavior toward jewellery products. The study is based on primary data collected from jewellery consumers through a structured questionnaire. A total of 100 respondents were selected using the convenience sampling method. The collected data were coded and analyzed using Statistical Package for the Social Sciences (SPSS). The discussion of the data gathered concerning 100 respondents gives some valuable conclusions concerning the consumer awareness and behaviour regarding the Goods and Services Tax (GST) on jewellery products. The demographic profile revealed the respondents were mostly young adults aged between 18 and 35 years and most of them were employed people with moderate income levels between 25,000 to 50,000, on an average monthly. The research has established that the average score of awareness about GST on jewellery was 2.66, which is way lower as compared to the neutral mid (3) (p < 0.001). This finding shows that consumers have a very low degree of knowledge when it comes to GST and its effects on jewellery prices. It was found that there is a statistically significant difference (p < 0.001) with a mean score of 1.56 and this indicates that the people still prefer unorganized jewellery vendors to more organized retailers. The research concludes that GST has played a major role in consumer behaviour and taste in the jewellery industry. Despite the fact that GST was implemented to streamline the taxation system in India and bring about transparency in the system, consumer awareness as far as its application to jewellery is concerned is still average
Startup Growth in India: Current Trends, Challenges, and Future Projections
No full textThe current study has been conducted to examine the current trends and future projections of startups in India by using secondary data on the State/UT-wise number of recognised startups from the Press Information Bureau for the period 2019 to 2023. Despite the challenges posed by COVID-19, the industry showed remarkable resilience, accelerating growth from 30.12 per cent in 2020 to 40.39 per cent in 2021. This growth was driven by rapid digital adoption, government programs like SISFS, and increasing venture capital funding. In 2022, growth rates declined to 35.92 per cent, and further to 32.09 per cent in 2023, indicating market maturation while robust momentum is still maintained. Statistical techniques like YoY growth rate, forecasting models such as linear regression, ARIMA, optimized ARIMA, exponential smoothing and Holt’s Winter (Double exponential smoothing) model have been used to explore current trends and future projections. As the forecasting models investigated, it was noted that the number of startups will increase to 3,47,589 by 2026. The Holt-Winters model predicts the highest startup growth (7,07,528), and follows Exponential Smoothing (6,87,187), both of which identify an upward trend in the number of recognized startups. The evidence suggests that to maintain this growth trajectory, public-private sector partnerships alongside the development of infrastructure will be strategically important, making startups an essential part of the economic transformation and technological progress of the country. Understanding the future course of India’s startup landscape is essential for investors, entrepreneurs and other stakeholders to achieve a competitive edge, optimize resource allocation, and align strategies with emerging market trends
The Impact of AI-embedded Technologies in Improving the HRM Practices
No full textThe rapid evolution of artificial intelligence creates a major impact on the traditional HRM practices by offering different innovative solutions in various domains, including performance evaluation, engagement, and recruitment and onboarding. This study aims to explore the integration of AI technology in HRM by identifying the impact of operational strategic decision-making, efficiency, and employee performance. Evaluating different types of secondary data from various academic databases, it is found that AI can offer opportunities in HRM with the help of training, personalisation, talent acquisition and predictive analytics. Despite the benefits, AI can also create some challenges during the integration process, such as high implementation cost, employee resistance, and ethical and legal issues. For the methodology, the researcher has chosen the secondary data collection method to get better results. The AI holds a huge potential for revolutionising the HR functions with the help of strategic planning and a clear ethical framework. This research has a limitation of using only secondary method not primary method. As per the future direction, this research can offer a detailed idea about the applications of AI and challenges faced in using AI. Therefore, the study concludes that the gradual AI implementation with the pilot testing process and training of the workforce to use AI can offer the best results to the organisation in terms of HRM and performance management
Inflation and Consumption of Teacher’s Households in the Island Garden City of Samal, Davao Del Norte
No full textThe research examined the correlation between inflation and household consumption among college teachers located in the Island Garden City of Samal in Davao del Norte from July to December 2024. This study explored the different types of inflation such as demand-pull inflation, cost-push inflation, and inflation expectations, as well as household spending on durable goods, non-durable goods, entertainment, housing, healthcare, and debts. A descriptive correlational research design was employed, and seventy-six college teachers were randomly chosen as respondents. Data were gathered from the Philippine Statistics Authority and through an adapted survey questionnaire used to assess the spending patterns of the respondents. The results revealed that inflation during the study period was at a moderate level. Teachers’ households tended to spend more on non-durable goods and debt-related expenses, while allocating less for durable goods, housing, and healthcare. These findings imply that most of their income was directed toward immediate necessities and financial obligations rather than long-term investments or savings. The analysis further showed a negative relationship between inflation and household consumption. However, this relationship was not statistically significant, meaning that changes in inflation did not strongly affect how teachers managed their household expenses. The results suggest that other factors such as financial stability, priorities, and budgeting practices had a greater influence on consumption behavior. Overall, the study emphasizes the importance of proper financial management among teachers to maintain stability despite price fluctuations in the economy
The Intangible Value and Economic Impact of Music Groups: A Case Study on NewJeans
No full textThe global music industry has evolved into a significant economic and cultural force, with K-pop playing a leading role in digital innovation, brand monetization, and global fan engagement. This study examines the intangible value and economic impact of K-pop groups, using NewJeans as a case study to assess how artist branding, digital economies, and corporate strategy drive financial success within HYBE Corporation. By integrating financial analysis, stock market evaluations, and sentiment analysis, this research provides an empirical assessment of the relationship between entertainment brands and their market valuation.
The study employs a mixed-methods approach, incorporating financial statement analysis, stock market event studies, and social media sentiment evaluation. The financial analysis quantifies NewJeans’ contribution to HYBE’s revenue, profitability, and valuation, showing that the group accounted for 4.26 million album sales in 2023, alongside securing multimillion-dollar brand endorsements from Nike, Coca-Cola, and Levi’s. The stock event study examines HYBE’s share price fluctuations, revealing that investor confidence surged by 7.3% following NewJeans’ debut, whereas market uncertainty caused an 8.2% decline after contract dispute rumors surfaced in 2024. The sentiment analysis, utilizing Natural Language Processing (NLP), demonstrates a 38% increase in positive sentiment on Weverse and TikTok during key promotional periods, reinforcing the correlation between digital engagement and financial performance.
Findings reveal that K-pop’s economic influence extends beyond direct revenues, affecting stock market valuation, digital economies, and investment strategies in entertainment finance. The integration of fandom economies, particularly in the form of subscription-based fan platforms, social media engagement, and merchandising, serves as a critical driver of financial sustainability. The study concludes that entertainment companies must adopt risk mitigation strategies for artist management disputes, leverage AI-driven forecasting models for valuation, and consider new regulatory policies in the digital music economy to maintain financial stability in an increasingly competitive industry
Linkages in Production and Marketing of Medicinal Plants by Cooperatives in Tuyen Quang Province, Vietnam
No full textDetermining the development of medicinal plants is one of the new directions contributing to the transformation of crop structure, creating momentum in economic development, and increasing income for people. Tuyen Quang province has had orientations and plans to develop forms of production organisation, improve capacity for enterprises and subjects participating in the program, develop agricultural products according to linkage and chain models, in order to promote creativity and potential internal strength of localities. The study aimed to assess the level of linkages between cooperatives and actors in the value chain, such as farmers, traders, material suppliers, state agencies and other cooperatives. This paper presents the results of a survey and analysis of the current status of linkages in the production and trading of medicinal plants of 18 cooperatives in Tuyen Quang province. OLS linear regression analysis was conducted to identify factors affecting the linkage index in the production and business of cooperatives. Moreover, SWOT analysis was done to determine the advantages, difficulties, opportunities and challenges in the process of strengthening linkages of cooperatives. The research results show that 100% of cooperatives have linkages with farming households, traders and state agencies, but the main form is still informal (verbal). On average, each cooperative has linkages with 55 farming households and 4 traders, but the rate of signing written contracts is still low (~30%). Over 22% of cooperatives have had disputes, mainly over price, quality and payment methods. Internal factors such as management capacity, capital, technology, etc., are major barriers to building sustainable linkages. Only 27.8% of cooperatives surveyed have direct connections with experts and scientists to receive advice on planting, processing or product development techniques. Up to 61.1% of cooperatives surveyed said that they do not have a clear mechanism or have never been connected with scientists, research institutes or universities to support in improving product quality and value. OLS regression results show that variables that have a positive impact on the linkage index include: the qualifications of management staff, the rate of written contracts, support from state agencies and the level of linkage with enterprises. The study also identified the advantages, disadvantages, opportunities and challenges of cooperatives through the SWOT model and proposed a system of specific solutions, including: raising awareness, signing clear contracts, enhancing technical support and digital technology, connecting long-term sellers and accessing policies. This document is an important basis for policy planning and designing support programs for developing local medicinal value chains
Developing the Market for Shrimp Floss Products under the Collective Trademark “Ha Long – Quang Ninh”
No full textThis study examines consumer perceptions, purchasing behavior, and factors influencing purchase decisions for shrimp floss products under the collective trademark “Ha Long – Quang Ninh.” Using survey data from 200 consumers in Ha Long, Hanoi, and Hai Phong, descriptive statistical methods were applied to analyze demographic characteristics, awareness, satisfaction, and purchasing habits. Results show that product quality and brand reputation linked to the collective trademark are the strongest drivers of consumer decisions, while packaging, promotion, and modern distribution channels have limited effects. Purchases are infrequent, mainly for gifting purposes, and traditional markets remain the dominant sales channel. The findings highlight that the competitive advantage of Ha Long shrimp floss lies in its distinctive flavor, nutritional value, and verified origin, yet shortcomings in packaging, communication, and modern retail penetration constrain market expansion. To address these issues, the study recommends improving packaging design, strengthening promotional activities, diversifying distribution through supermarkets and e-commerce, and leveraging the collective trademark as a tool for both legal protection and marketing. The paper contributes to the literature on specialty food marketing and provides practical insights for policymakers and producers seeking to enhance the competitiveness of collective trademark-based OCOP products in emerging economies
AI-Powered Personalization in Nigerian E-commerce Businesses: Enhancing Customer Engagement and Conversion
No full textAlthough the growth of e-commerce in Nigeria has given companies new ways to connect with tech-savvy customers, there are still obstacles in providing individualized and reliable buying experiences. Although artificial intelligence (AI) technologies are being used more and more in international markets for customer targeting and product recommendations, little is known about how effective they are in Nigeria. By investigating how AI-powered personalization affects consumer engagement, purchase intention, and opinions about online retail, this study fills this knowledge gap.
400 Nigerian internet shoppers participated in a quantitative survey, and the results were examined using regression, correlation, and descriptive statistics. The results show that when recommendations are viewed as timely and relevant, AI-driven customization dramatically increases engagement and purchase intention. The association between purchase behavior and personalization was also mediated by engagement, indicating that active customer involvement is essential to conversion. These effects were, however, mitigated by privacy concerns, showing that excessive customization might erode confidence and impair purchase outcomes.
The study concludes that, although it necessitates a careful balancing act between innovation and ethical data standards, AI personalization has the potential to revolutionize Nigerian e-commerce. Transparent data regulations, increased consumer control over personalization, and algorithmic systems that prioritize privacy and relevance are among the recommendations