This article explores ethnomedicine or traditional medication written in palm-leaf manuscripts in Lombok, West Nusa Tenggara. Most of the manuscripts in Lombok are written on palm leaf or lontar. One genre of palm-leaf manuscripts is USADA or traditional medication. These USADA manuscripts, serving as guides for traditional healers (dukun and balian), contain valuable information on diseases, treatments, herbal remedies, and incantations. The study reveals that ethnomedicine remains a relevant and respected practice in Lombok, often considered on par with modern medicine. Many residents rely on traditional healers for healthcare, particularly for minor illnesses. The research also highlights the living nature of the manuscript tradition, with continued recitation, copying, and teaching of these texts to younger generations. However, challenges persist in preserving these manuscripts and promoting wider appreciation for this unique cultural heritage.

One of the main concerns in computer science today is integrating the Internet of Things (IoT) into manufacturing processes. This trend could influence a country’s strategy and policy development regarding technological infrastructure. However, despite extensive research on the implementation of IoT in manufacturing, no study has yet focused on the growing research interest in this topic. Based on 2487 papers indexed in the Scopus database between 2013 and 2023, this bibliometric review examines current trends and patterns in IoT research in manufacturing. The literature was selected and screened using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. Data visualization was created using VOSviewer. The results show a notable increase in research papers centered around IoT in manufacturing. The findings reveal patterns and trends in IoT research publications in the manufacturing sector, author collaboration networks, country collaboration networks, and both established and newly trending topics surrounding IoT in the manufacturing industry.

This study uses a Time-Varying Parameter Stochastic Volatility Vector Autoregression (TVP-SV-VAR) model to conduct an empirical analysis of the dynamic effects of China’s stock market volatility on the agricultural loan market and its channels. The results show that the relationship between stock market and agricultural loan market volatility is time varying and is always positive. The investor sentiment is a major conduit through which the effect takes place. This time-varying effect and transmission mechanism are most apparent between 2011 and 2017 and have since waned and stabilized. These have significant implications for the stable and orderly development of the agricultural loan market, highlighting the importance of the sound financial market system and timely policy, better market monitoring and early warning system and the formation of a mature and sound agricultural credit mechanism.

The study aims to examine the labor market challenges and motivational factors for employee retention through the example of a small machinery company in Hungary. In recent years, Hungary’s labor market has faced significant difficulties, particularly due to the COVID-19 pandemic, which resulted in temporary unemployment followed by labor shortages. The research aims to identify the motivational, welfare, and financial factors that contribute to employee retention. Due to the small sample size, we did not investigate the relationships concerning loyalty, commitment, and performance. The research methods included comprehensive data collection at a machinery company employing 24 people located near the Austrian-Hungarian border. During the data collection, we conducted a questionnaire survey that included questions related to benefits, performance, commitment, and loyalty. The collected data were processed by calculating weighted averages and differences. The results indicate that flexible working hours and easy accessibility to the workplace are of utmost importance to employees. There is also a significant demand for performance-based pay and diverse, flexible benefit packages. Employees require both formal and informal professional recognition, such as praise and awards. The research has practical significance for both organizational management and employee well-being. Understanding employee opinions and implementing measures based on these can have four primary effects: improvement in employee performance, reduction in turnover, increase in organizational commitment, and enhancement of the company’s positive perception.

The study employed a qualitative approach to determine the influence and effectiveness of storytelling in shaping the Alpha generation’s buying decisions and consumption behaviours. The students of the University of Lagos Junior Secondary School were selected for the study. The interview questions were set to focus on factors like experiences, sources of storytelling communication, the outcomes and the affective effects. Twenty-five students were purposively selected out of one hundred and twelve (112) population for the interview based on the conditions for selection. Thematic analysis was used and a total of 244 themes were identified. Four (4) major themes were later identified in thematic synthesis through coding translation. The findings revealed that storytelling is effective and strategic in brands targeted at the Alpha generation, hence, the generation relied on storytelling to choose brands in convenience, impulsive and shopping products, and radio and television were the main sources of storytelling campaigns among the generation. Storytelling wrapped in songs, entertainment, dancing, drama, etc. captivated and influenced the generation, and children used the information from the storytelling campaigns to influence family purchase decisions and parents’ buying decisions and behaviours.

Energy systems face serious difficulties due to economic policy uncertainty, which affects consumption trends and makes the shift to sustainability more difficult. While adjusting for economic growth and carbon emissions, this study examines the dynamic relationship between economic policy uncertainty and energy consumption (including renewable and nonrenewable) in China from 1985Q1 to 2023Q4. The research reveals the frequency-specific and time-varying relationships between these variables by employing sophisticated techniques such as Wavelet Cross-Quantile Correlation (WCQC) and Partial WCQC (PWCQC). Economic policy uncertainty and energy consumption do not significantly correlate in the short term; however, over the long term, economic policy uncertainty positively correlates with renewable energy consumption at medium-to-upper quantiles, indicating that it may play a role in encouraging investments in sustainable energy. On the other hand, EPU has a negative correlation with nonrenewable energy usage at lower quantiles, indicating a slow move away from fossil fuels. These results are confirmed by robustness testing with Spearman-based WCQC techniques. The study ends with policy recommendations to maximize economic policy uncertainty’s long-term impacts on renewable energy, reduce dependency on fossil fuels, and attain environmental and energy sustainability in China.

Spiritual Intelligence (SI) has become a key contributor towards enhancing employee well-being and job satisfaction (JS) in the modern competitive business world. This study examines the impact of SI on JS among Sri Lankan IT professionals, considering gender’s role in this relationship. Analyzing data from 383 respondents using Partial Least Square Structural Equation Modeling (PLS-SEM), the study reveals a strong positive correlation between SI and JS, with no moderating effect on gender. The study highlights the importance of embedding SI into HR and organizational policies to enhance workforce resilience and retention while contributing to broader industry development and global competitiveness in the IT sector.

This study aims to investigate what influences local workers over the age of 40 to work and stay employed in oil palm plantations. 414 individuals participated in a face-to-face interview that provided the study’s primary source of data. Exploratory Factor Analysis was used to analyse the given data. The study revealed that factors influencing local workers over the age of 40 years to leave or continue working in oil palm plantations can be classified as income factors, internal factors and external factors. The income factor was the most significant factor as the percentage variance explained by the factor was 26.792% and Cronbach Alpha was high at 0.870. Therefore, the study suggested that the oil palm plantation managements pay more attention to income elements such as basic salary, wage rate paid to the workers and allowance given to the workers since these elements contribute to the monthly total income received by the workers and in turn be able to attract more local workers to work and remain in the plantations.