Community and Social Development Journal

The Impact of Teachers’ Qualifications on Teaching and Students’ English Achievement: A Case Study in the Department of English Language, Faculty of Languages, Souphanouvong University

Chansy Yangxaypor — 2026-02-06

The purpose of this study was to investigate the impact of teacher’s qualifications on teaching and students’ learning English achievement in the Department of English language Faculty of Languages, Souphanouvong University. Teacher qualification is very important because it directly affects students’ achievement. Student achievement was considered as dependent variable, and teacher educational qualification, subject major, teaching experience, and professional experience were considered as the independent variables. The researcher selected all the teachers who taught English classes and the English students from year 1 to year 4 for this research study 16 questionnaires were distributed among the English teachers in the English Department. The response rate of the teachers was 100% and 111 questionnaires were sent to the English students Department from years 1 to year 4. The response rate of the students was 82.80%. for both teachers’ qualifications and students’ learning English achievement in the Department of English Language on five-point Likert scales as the scaling method. The results reveal that most of the teachers have experience and hold their own expertise qualifications in teaching. And students have average to high academic achievement at each level. Therefore, professionally trained English language teachers are seen to have a better mastery of the subject in the classroom. They usually create the right environment for students to maintain a positive attitude towards the subject and perform better too. This study has buttressed the fact that teachers’ qualification affects students’ achievement in English language. The study has also shown that teacher’s qualification has a significant relationship between with student’s achievement and attitude towards English language.

Innovation Ecosystem Engagement and Innovation Performance: The Roles of Dynamic Capabilities and Digital Maturity

Ruizhe Yue — 2026-02-06

In the digital era, innovation ecosystem engagement (IEE) has emerged as a critical strategic imperative for firms seeking to enhance their innovation performance. This study investigates the complex relationship between IEE and firm innovation performance (IP), examining the mediating role of dynamic capabilities (DC) and the moderating effect of organizational digital maturity (ODM). Drawing on resource-based view, dynamic capabilities theory, and innovation ecosystem theory, we developed a comprehensive theoretical model tested through structural equation modeling with data from 354 employees across 44 firms in technology-intensive industries in City M, China. Results reveal that IEE significantly enhances innovation performance through the development of dynamic capabilities, with this relationship being strengthened by higher levels of organizational digital maturity. Specifically, dynamic capabilities partially mediate the relationship between IEE and innovation performance (β = 0.35, p < 0.001), while organizational digital maturity significantly moderates the IEE-IP relationship (β = 0.15, p < 0.001). The model explains 42% of variance in dynamic capabilities and 56% of variance in innovation performance. These findings contribute to innovation management literature by integrating ecosystem, capability, and digital transformation perspectives, providing actionable insights for managers seeking to optimize their innovation strategies in digital contexts.

Research and Development of Museum-Community Collaboration: Utilizing Cultural Performing Arts in the Creation of Music and Contemporary Paintings to Promote Chiang Rai's Tourism Image

Ong-art Inthaniwet — 2026-02-06

This research aims to analyze and develop collaboration between museums and local communities using cultural performing arts as a medium for heritage preservation and creative tourism promotion in Chiang Rai, Thailand. The study employs a mixed-methods design. Primary data were collected through in-depth interviews, focus group discussions, questionnaires, and field observations at two selected museums: the Museum of Old Photos Chiang Khong and the Hong Luang Saeng Kaew Museum at Wat Phra Kaew Chiang Rai. Their selection was based on their roles in preserving local history, culture, and the Lanna artistic heritage. Quantitative results from 152 exhibition visitors revealed high levels of cultural appreciation (M = 4.52), understanding of Chiang Rai’s cultural identity (M = 4.47), and interest in cultural tourism (M = 4.38). These findings demonstrate that integrating performing arts and contemporary creative works significantly enhances audience engagement and strengthens the cultural tourism image of Chiang Rai. Qualitative findings indicate that cultural performing arts such as Lanna dance, Khap Sor Lanna singing, and traditional theatrical forms effectively communicate historical narratives and reinforce communal identity. The research also facilitated the creation of original musical compositions and contemporary paintings inspired by local narratives, using post-impressionist techniques and popular-music idioms. The exhibition incorporated immersive storytelling, curated lighting, and ambient soundscapes featuring local music and the natural sound of the Mekong River. A key tangible outcome of this project was the strengthened collaboration between Chiang Rai Rajabhat University and Chiang Khong District through an MOU that formalized joint cultural development efforts. This partnership enabled coordinated exhibitions, youth engagement activities, and community-based cultural programming that contributed to local economic stimulation and intergenerational learning. The findings underscore the significance of integrating museums, performing arts, and creative expressions to promote cultural tourism and enhance Chiang Rai’s cultural. This study suggests that interdisciplinary artistic collaboration can serve as a sustainable model for area-based cultural development.

A Meta-Analysis of Technical and Vocational Education and Training (TVET) Studies Across Continents

Irish Giselle C. Bautista — 2026-02-11

Technical and Vocational Education and Training (TVET) plays a critical role in enhancing employability and supporting economic development. However, global disparities exist in labor force participation, policy implementation, and system effectiveness, highlighting the need for cross-continental analysis. This study aimed to conduct a systematic meta-analysis of international TVET research to 1) evaluate labor force participation of TVET graduates, 2) identify innovative policies and systemic interventions that strengthen TVET outcomes, and 3) propose strategies suitable for enhancing the Philippine TVET system. A systematic review and meta-analysis were conducted on 60 studies published between 2016 and 2022. Data were sourced from four academic databases: ProQuest, EBSCO, JSTOR, and Elsevier. Inclusion criteria targeted studies focused on TVET programs or graduates reporting employment outcomes or systemic interventions. Qualitative data were analyzed using MAXQDA, while quantitative data were synthesized to determine labor force participation across continents. Labor force participation of TVET graduates varied by region, with Asia reporting the highest rate (27.27%) and Africa the lowest (10.54%). Effective policies identified include strong governance, public-private partnerships, competency-based training, recognition of prior learning, and ICT-supported monitoring. For the Philippines, adopting these strategies can improve alignment with labor market needs and enhance graduate employability. The study demonstrates that context-specific policies, systemic interventions, and strategic partnerships are essential for improving TVET outcomes globally and locally. Evidence-based strategies can strengthen the Philippine TVET system, ensure labor market relevance, and promote workforce readiness.

A Peircean Semiotic Analysis of the Liuyang Confucius Worship Ritual: ‎Symbol Classification and Cultural Representation

Wang Wan — 2026-02-11

Based on Peirce's Tripartite Theory of Signs, this study systematically analyzes the symbolic classification system and representational logic of the Liuyang Confucius Worship Ritual. It aims to break through the limitation of overemphasizing description over classification in existing research on Confucius worship rituals and provide support for the dynamic inheritance of this intangible cultural heritage. Through integrating field investigation, in-depth interviews, and literature research, this study employs NVivo12 qualitative data analysis software to conduct systematic three-stage coding analysis (open coding, axial coding, and selective coding) with inter-coder reliability verification. The study identifies 68 core symbols, including 23 iconic signs (33.80%), 21 indexical signs (30.90%), and 24 symbolic signs (35.30%), and constructs a progressive classification system. These three types of signs realize meaning representation through formal similarity, contiguity/causality, and social convention respectively, and embody the integration of Confucian orthodox rituals and regional cultural characteristics. The study verifies the applicability of Peirce's theory, reveals the inheritance rules of ritual symbols, fills the gaps in relevant research, and provides a complete paradigm of theory, analysis, and interpretation, offering a reference for the research and inheritance of similar intangible cultural heritage projects.

Situational Leadership of Entrepreneurs Influencing ESG and Safety Management: Employee Perspectives in the Health, Beauty, and Supplement Manufacturing Sector

Ntapat Worapongpat — 2026-02-16

This research aims to 1) examine the influence of entrepreneurs’ situational leadership on ESG (Environmental, Social, and Governance) performance, 2) assess employees’ perceptions of safety management practices within the health, beauty, and supplement manufacturing sector, and 3) analyze the relationship between situational leadership, ESG driving, and workplace safety outcomes. A mixed-methods approach was employed. Quantitative data were collected through questionnaires administered to 150 employees, selected using the Taro Yamane formula with a 0.05 error level through accidental sampling. Data were analyzed by descriptive statistics percentage, mean, and standard deviation—and inferential statistics, including t-test and F-test to examine differences among employee groups. The qualitative phase involved semi-structured interviews with business owners and key operational managers, and the data were analyzed using content analysis. The findings revealed that situational leadership had a statistically significant positive influence on both ESG implementation and safety management performance. Employees perceived that adaptive leadership behaviors particularly directing and supporting styles enhanced clarity, compliance, and participation in ESG-related activities. Interview themes further indicated that leaders who adjusted their leadership style based on employee readiness facilitated safer work environments, encouraged environmental awareness, and strengthened organizational governance. Practical implications suggest that entrepreneurs should adopt flexible leadership styles to enhance ESG outcomes and integrate employee-centered safety strategies into organizational policy.

Factors Affecting the Decision to Select Gold Investment through Online Application in Bangkok

Thanakon Ratchatakulpat — 2026-02-17

This study aims to investigate the demographic factors and marketing mix elements influencing the decision to invest in gold through online applications among the working-age population in Bangkok. The study population consists of 3,246,303 individuals aged 21–60 years. Data were collected from a sample of 400 participants and analyzed using descriptive statistics, including frequency, percentage, mean, and standard deviation. Inferential statistical analyses were conducted using Independent-sample T-tests and One-way ANOVA (F-test) to examine group differences, followed by Least Significant Difference (LSD) post-hoc comparisons. Additionally, Multiple Regression Analysis was employed to determine the impact of the marketing mix.

The findings indicate that demographic factors specifically gender and age resulted in significant differences in gold investment decisions via online platforms. Furthermore, the marketing mix (Product, Price, Place, and Promotion) significantly influences the decision-making process for gold investment among the working-age group in Bangkok.

Predictive Analytics for Sales Forecasting in Emerging Market Retail: An Ensemble Learning and Time-Series Approach for A&Z Supermarket

Idowu Olugbenga Adewumi — 2026-02-18

Evaluation of forecasting models with 5000 daily sales records (2020-2023) from A&Z Supermarket located at Oyo State, Nigeria. Ten (10) product IDs from five (5) stores. The dataset incorporates a total of 11 predictive variables. This includes price, competitor price, macroeconomic index (simulated), promo indicators, holiday flags and rolling averages. The forecast models are assessed through a train/test split with a 70/30 ratio. They are forecasting for a 7-day horizon. Further, rolling window validation prevents leakage. According to descriptive analysis, the average sales quantity resulted in 26.49 sales units with a standard deviation of 11.58. The day of sales displays cumulative spikes, mainly during weekends as well as holidays. The research compares various traditional models such as ARIMA, SARIMA, and Linear Regression with machine learning models like Random Forest, XGBoost, LSTM, and GRU and has a RMSE ranging from 10.55 to 14.36 and R² values ranging from %u221A0.740 to 0.884. Bagging, boosting, stacking techniques are used to improve the performance of predictive models. The stacking ensemble achieved the lowest RMSE (8.14). The performance of LSTM was observed to be best as depicted by (RMSE= 8.75, R²= 0.91) as it outperformed Prophet and XGBoost. The lack of generalizability can be attributed to a narrow dataset that incorporates only a single retailer and a simulated macroeconomic index. An analysis of the business KPIs indicates a decline in inventory costs of 17.8% and of stockouts by 15.4%. Such improvements along with a 9.5% increase in ROI are encouraged through the use of LSTM (Long-Short Term Memory) investments. The results indicate that hybrid ensemble-time-series models are superior to conventional methods and offer important practical conveniences in optimizing inventory and forecasting demand in retail settings in emerging markets.