Journal of Ecohumanism

The Effect of Organic Fertilizer on Nitrogen Mineralization, Nitrogen Uptake, and Protein Content of Mung Bean (Vigna radiata) in the Sandy Coastal Soil of Parangtritis, Yogyakarta, Indonesia

Yekti Maryani — 2025-04-02

This research aims to examine the impact of organic fertilizer on nitrogen mineralization in the soil, nitrogen absorption, and the protein content of green bean seeds in sandy coastal areas. The study was carried out in the sandy coastal region of Parangtritis, Kretek, Bantul, Yogyakarta, Indonesia, at an altitude of approximately 10 meters above sea level, with a soil pH ranging from 5.6 to 6.0 and air humidity between 65% and 85%. The soil type is sandy. The experiment was based on a single-factor design, focusing on organic fertilizer, which included seven treatments: no organic fertilizer, cow manure, goat manure, chicken manure, compost, vermicompost, and guanophosphate. Data analysis was conducted using variance analysis at a 5% significance level, while differences between treatments were evaluated using the Duncan Multiple Range Test at the same significance level. The application of organic fertilizer enhances nitrogen mineralization, except in the case of guanophosphate fertilizer. Among the treatments, vermicompost fertilizer resulted in the highest nitrogen mineralization (NNH4) at 43.89 ppm. The application of nitrogen fertilizer also boosts nitrogen absorption and the protein content of green beans. The highest nitrogen absorption was observed with chicken manure at 2.13%, while the highest protein content in green beans was achieved with compost treatment at 22.33%. Additionally, organic fertilizer application contributes to an increase in green bean yield. The highest yields were obtained with compost fertilizer at 1.6 tons per hectare, followed by vermicompost at 1.541 tons per hectare, and guanophosphate at 1.554 tons per hectare.

Geometric communication in organizations. A review from the administrative sciences

Pedro Arcia-Hernández — 2025-04-03

The aim of this paper is to interpret geometric communication in business organizations from the perspective of administrative sciences. Among the main findings, it stands out that geometric communication within modern educational organizations is a complex whole that links institutional purposes and individual interests, giving a nuance to the information that is communicated not only by the personality of the informants, but also by the objects and people that surround them. without neglecting feelings, emotions and moods. To this end, geometric communication is understood as a process where self-regulation must be included as a dimension that articulates all the others (contour, environment and surroundings). Likewise, it is concluded that geometric communication is a guarantor of the good management of the educational leader, since it articulates the elements of authority and power, with those of interpersonal relationships and affectivity.

DYNAMICS OF SOCIAL INEQUALITIES IN THE FACE OF MACROECONOMIC SHOCKS IN MOROCCO: AN ECONOMETRIC ANALYSIS USING THE MODEL ARDL

Sanaa DFOUF — 2025-04-05

This article evaluates the relationship between macroeconomic shocks and social inequalities in Morocco through the lens of the ARDL model. It uses annual information on GDP, unemployment, and inflation and social spending in order to analyzed social inequalities manifested by the Gini index.Empirical studies suggest that the economic growth has ambiguous consequences on inequality, as its resource mobilization tendency on one hand leads to a long term decrease in income disparity. Furthermore, unemployment and inflation are negative determinants of inequalities, specifically targeting the lower most household. On the other hand, social transfers do help mitigate inequality, even though their effect is virtually nonexistent in the absence of any form of redistribution.The econometric findings indicate a long run co-integration of the variables which in effect means that there are persistent inequalities over time which tend to be influenced by the macro shock incidence. This strengthens the urgency for comprehensive economic strategies that incorporate active labor market policies and social services to counter inequalities.In conclusion, this study appeals for increased attention towards redistributive policies alongside implementable economic strategies that can soften the impact of macroeconomic shocks on social inequalities in Morocco.

URBAN AGRICULTURE CROPS AND ITS POTENTIALITIES

Manamaya Mishra — 2025-04-06

This paper is based on urban agriculture supporting to reduce household poverty, as well as this types of agricultural production and management of crops and livestock/poultry directly help to household economy of urban or periphery area, especially to meet local needs. This paper aims to explore the urban agriculture (UA) in terms of urban food security and employment in the Kirtipur, Kathmandu. Primary data collection was done in February- April, 2023 by snowball sampling technique because of the farm owner couldn’t meet at farm areas and only found the workers then collected the phone number (all respondents) and fixed the interview time then collect the data, considering the households with more than 4 Ropany (0.2 ha) of farmland as sampling units in three urban pockets- one road accessible pocket (Taudaha), second one less accessible pocket with Bhatkepati settlement, and the last one isolated pocket (Jankha), followed by observation and face to face interviews which includes total 64/64 household surveys (20 in Taudaha, 24 in Bhatkepati and 20 in Jankha) using structured questionnaire for interview schedule.

The analysis of the development functions shows that most of the people in the urban area emphasized to better employment and education as well as drinking water, road, trade/business and agricultural integration for overall development this places but lack of irrigation facilities was the most crucial problem for the development of agriculture. Other major problems include lack of modern inputs and technologies, decreased interest of youth in agricultural occupation, inadequate road network and financial problems. The organizations supporting agricultural activities and the potentials of integrated development of agriculture in Kirtipur has been assessed and analyzed with suggestions and recommendations for reducing urban poverty and food insecurity. The major suggestions include promoting irrigation facilities; market oriented organic vegetable production; in-depth study for fruit growing and beekeeping promotion; and strengthening agricultural extension services with proper sustainable urban farming policies for promoting urban food security and employment.

Unveiling the Digital Revolution: Assessing the Dynamic Impact of E-Banking Adoption among Generations Y and Z in Malaysia

Siti Norbaya Yahaya — 2025-04-08

This study investigates the influence of e- banking based on the perspective of Generations Y and Z, with a specific emphasis on their adeptness with technology. The research conducted a quantitative study with 384 Malaysian participants, which revealed that these generations exhibit a high level of familiarity with digital technology and enthusiastically use e-banking due to its convenient and time-saving advantages. Nevertheless, the implementation of the technology is impeded by issues over security, privacy, and trust. The research also evaluates the impact of age, education, and money on their viewpoints. The findings indicate that resolving these issues might improve the adoption of e-banking, which would be advantageous for banks, regulators, and academics. The study proposes the elimination of obstacles to enhance e-banking and promote financial inclusion among Generations Y and Z, providing valuable guidance for policymakers to formulate regulations that safeguard consumers. Subsequent studies may broaden the assessment of electronic banking among diverse client segments. Furthermore, the data collected from participants was analyzed using the Statistical Package for Social Sciences (SPSS). The researcher used descriptive statistics, Pearson's correlation coefficient, and multiple regression analysis to examine the hypothesis. The study found that perceived usefulness, perceived ease of use, perceived data security and privacy, and perceived technology and innovation all have a significant impact on the usage of e-banking among Generation Y and Z. Among these factors, perceived technology and innovation was found to be the most influential in driving the adoption of e-banking among Generation Y and Z. In future research, the researchers might use the suggested novel conceptual framework to conduct the investigation or incorporate other variables for examination.

SDG#4, 8 and 9 - Trends of Halal Audit Training with Blockchain Technology for Sustainable Development with Decent Job Creation

Shirley Mo Ching YEUNG — 2025-04-09

This paper outlines a comprehensive strategy to harness the power of integrated skills in technology, artificial intelligence (AI), blockchain, and halal concepts to rethink the design, delivery and assessment of the impact of halal training related courses under the green econmy. Aligning with the HKSAR policy address 2025, specifically paragraph 107, which emphasizes the enhancement of the General Employment Policy and the introduction of new mechanisms to attract top-tier talent, this project aims to position Hong Kong as a global/ virtual/ physical hub for halal training certificates in blockchain technology for revitalization. It seeks to address the acute manpower shortages - halal audit and halal executive competency in technology related training programmes in Hong Kong to promote SDG#9 innovations in the halal economy.

How To Achieve Good Financial Governance by Reconstruction of Management Accounting Information System and Asset Management for Better Village

Maulidah Narastri — 2025-04-10

The purpose of this study is to reconstruct the organizational structure along with the main tasks and functions of village officials in terms of management accounting information systems for village asset management in order to create good village governance. The method used in this study is inductive. The type of research used is qualitative with a phenomenological approach. The researcher conducted field observations with a focus on digging up information on how village assets have been managed so far. The results of the study stated that there must be an additional special official who has the field of village asset management so that village assets and potential can be managed properly. To improve asset management, the village should introduce a Technical Implementer position, specifically a Head of Asset Management, with the following responsibilitie likes Administration of village assets, Inventory management, Cash flow management for asset operations, and Maintenance and preservation of village assets. Researcher hopes that there will be writing that focuses on researching villages all over the world but with different or the same topics so that there is additional insight for readers.

Sustainability, Stability, and Growth: A Time Series Analysis of Tourism Drivers in Thailand

Soumaya Hechmi — 2025-04-10

This study examines the dynamic effects of renewable energy consumption, economic growth (GDP), and geopolitical risk (GPR) on tourism in Thailand during the period 1995-2023. Utilizing rigorous time series econometric techniques, including cointegration analysis and error correction modeling, the study examines both the short-run and long-run relationships between the selected macroeconomic variables and tourism development. The findings confirm that GDP and renewable energy both exert positive and statistically significant influences on tourism in the short and long term, mirroring economic strength and sustainability in driving tourism performance. The geopolitical risk, however, significantly negatively affects tourism in the long term, inferring that political instability and conflict in the region in the long term can ruin Thailand's image as a destination for tourists. These results emphasize the importance of sustainable energy investment, macroeconomic stability, and effective geopolitical risk management in supporting the growth and resilience of Thailand's tourism sector. The study offers valuable policy recommendations to create a secure, green, and economically prosperous tourism sector in Thailand.

Eco-Design for Sustainability: A Mediating Role in Achieving Sustainable Manufacturing through Lean Production

Christina Rachmawati — 2025-04-10

The increasing awareness of environmental issues and sustainability has driven the manufacturing industry to adopt a more holistic approach. Sustainable Manufacturing (SM) has emerged as a comprehensive concept that integrates environmental, social, and economic aspects into the production process. This study aims to examine the role of Eco-Design for Sustainability as a mediating factor in achieving SM through the implementation of Lean Production Practices in the Fast-Moving Consumer Goods (FMCG) industry. The research uses a quantitative approach, with data collected through questionnaires and analyzed using Structural Equation Modeling (SEM). The results show that Eco-Design for Sustainability acts as a significant mediating variable in the relationship between Lean Production Practices and SM. This implies that the implementation of Lean Production Practices, although contributing to efficiency, does not necessarily guarantee the achievement of SM without being integrated with Eco-Design. The study also found that Eco-Design, with its focus on minimizing environmental impacts throughout the product life cycle, strengthens and directs the Lean production system to be more effective in achieving SM goals. Based on these findings, the study proposes strategies to drive FMCG companies towards SM practices, including optimizing the effectiveness of Total Productive Maintenance (TPM) to improve efficiency and reduce waste, developing an Operational Excellence program, Life Cycle Optimization, digital transformation, improving employee capabilities, and developing environmentally friendly product designs. The research underscores the importance of Eco-Design for Sustainability as a key strategy in achieving SM in the FMCG industry and provides a deeper understanding of how Lean Production Practices can be effectively implemented to optimize environmentally conscious product designs.

MENA SMEs: Assessing Barriers and Enablers of Technological Adoption

Muneera M. Al Khalifa — 2025-04-11

Small and Medium-Sized Enterprises (SMEs) in the Middle East and North Africa (MENA) are critical drivers of economic diversification and employment. However, these enterprises often face significant challenges in adopting digital technologies, hindering their growth and competitiveness. This study employs a mixed-methods approach, integrating quantitative surveys of 400 SMEs across five MENA countries—Egypt, Jordan, Morocco, Saudi Arabia, and the United Arab Emirates—and qualitative interviews with 35 stakeholders, including SME owners, policymakers, and technology providers. The research identifies key barriers such as limited access to finance, inadequate digital infrastructure, regulatory fragmentation, and cultural resistance. Conversely, enablers include government incentives, managerial digital literacy, capacity-building programs, and cross-sector collaborations exemplified by initiatives like Abbott’s (2023) telehealth partnerships. Comparative analysis of Southeast Asia and Sub-Saharan Africa highlights the best practices and contextual nuances. The findings offer actionable policy recommendations aimed at enhancing financing mechanisms, harmonizing regulatory frameworks, upgrading digital infrastructure, and fostering managerial competencies. By addressing these factors, MENA SMEs can effectively integrate digital solutions, thereby promoting sustainable economic development and enhancing regional competitiveness.

Understanding Social Media Behavior in the USA: AI-Driven Insights for Predicting Digital Trends and User Engagement

Muhammad Hasanuzzaman — 2025-04-12

The swift advancement in social networking platforms has radically shifted the patterns and nature of how people connect with services and brands in America. The utmost objective of this research project was to implement artificial intelligence together with machine learning approaches for creating predictive models that forecast digital pattern development as well as user commitment through social media interactions within the United States. The data used in this analysis are posts aggregated from two leading online platforms, X-Twitter and Reddit, and consist of user-generated material covering a multifaceted set of topics and opinions. X-Twitter posts are current and real-time and give insight into what is currently being discussed and the opinions that are making headlines, whereas Reddit content provides extensive commentary and user engagement on numerous subreddits. To make the dataset more comprehensive and richer in information, extensive engagement metrics like likes, shares, and comments are used to extend its reach and provide insight into the extent to which users engage with the material presented to them. For this research, we used the multi-model approach so that there would be an exhaustive study and strong predictions, by implementing models such as Logistic Regression, Random Forest, and XGB-Classifier. To assess the models properly, we made use of several performance metrics like Accuracy, Precision, Recall, and F1-score. Logistic Regression only manages to achieve a below-average accuracy, signaling an average level of predictive quality. The Random Forest model fares slightly better with a slightly better accuracy rate, which implies that its ensemble method increases its predictive power to classify instances more effectively. In turn, the XG Boost model took the top spot in the comparison with an accuracy rate, projecting its ability to identify complex patterns in the data and showcasing the highest predictive level among the three models. The use of model outputs can greatly maximize real-time content strategy for brands and organizations seeking to maximize engagement in the USA. Based on user behavior patterns and engagement metrics, models can give insight into what should be posted and when to maximize attention. In campaign optimization, predictive modeling assists U.S. brands in making strategic decisions regarding ad spend allocation. Based on an examination of past performance and engagement metrics, brands can see which content is driving the greatest impact and engagement levels and make strategic investments in high-performance content that genuinely resonates with desired audiences. For public communication and policy, predictive models are particularly helpful in projecting how the U.S. public will react to news announcements, policy initiatives, or campaigns. Boosting the effectiveness of predictive models by incorporating transformer-based NLP models like BERT is one direction to explore in the future.

Efficiency of traditional and green cryptocurrencies: A comparative analysis

Rui Dias — 2025-04-14

The main objective of this research is to evaluate the efficiency, in its weak form, of digital currencies classified as "dirty", such as Bitcoin (BTC) and Ethereum (ETH), and the green ones, namely Lisk (LISK), Metaverse (METAVERSE), Quantum (QTUM), Litecoin (LTC), Augur (REP), Cardano (ADA), Dash (DASH), EOS (EOS), Quantum (QTUM), Litecoin (LTC), Ripple (XRP), Augur (REP), Cardano (ADA), Dash (DASH), EOS (EOS), IOTA (IOTA), Monero (XMR), Neo (NEO), Omisego (OMG), Stellar (XLM) and Zcash (ZEC), for the period from 1 January 2018 to 23 November 2023. The results show that Bitcoin (BTC), Metaverse, Litecoin (LTC) and Cardano (ADA) have persistent behaviour with a long memory, which favours long-term strategies. Long memories indicate that markets are less efficient, where trends tend to continue, making long-term strategies more effective. On the other hand, cryptocurrencies such as Lisk, Quantum, Ethereum (ETH), Ripple (XRP), Augur, Dash, EOS, IOTA, Monero, Neo, Omisego, Stellar and Zcash show anti-persistent behaviour, with rapid correction of deviations, suggesting more efficient markets, but with less predictability. This favours short-term strategies such as arbitrage and scalping. The analysis reveals that cryptocurrencies with long memory, such as BTC, LTC and ADA, are more predictable in the long term, while most others, such as ETH and XRP, are more suitable for short-term trading, reflecting structural differences in the market.

The Influence of the International Oil Price on the EUR/USD Exchange Rate

Rui Dias — 2025-04-14

The study analyses the influence of the international oil price, focusing on the CBOE Crude Oil Volatility Index and Brent crude oil, on the main exchange rates: EUR/GBP, EUR/USD, GBP/USD, USD/CHF and USD/JPY. The analysis covers the period from 3 January 2022 to 8 December 2024 to examine the relationship between fluctuations in the oil market and the behaviour of exchange rates. The results show that the CBOE index directly impacts the EUR/GBP currency pair, reflecting the influence of global volatility on financial markets. The EUR/USD pair is influenced by the behaviour of the USD/JPY currency pair, showing the interconnection between the major currencies. Brent futures significantly affect the USD/CHF and USD/JPY currency pairs due to the importance of oil as a strategic commodity and the sensitivity of currencies such as the Yen and Swiss franc to fluctuations in energy prices. These relationships show the strong interconnectedness of global markets, highlighting the importance of informed risk management and decision-making strategies in interdependent environments.

Climate Variations and Implementation of Climate Planning in The Municipalities of Zio1 (Togo) And Zou (Benin)

Komlan Houndjo — 2025-04-15

Climate variations negatively impact municipalities in West Africa. In the municipalities of Zio1 and Zou, climate variations have consequences on the local economy. However, these municipalities are unable to implement climate actions defined at the local level. This research is based on the following hypothesis : in Zio1 as in Zou, the same difficulties in implementing climate planning are explained by choices of carrying out socio-economic development projects to the detriment of implementing climate actions. This article aims to examine the explanatory factors for the difficulties in implementing climate planning in the municipalities of Zio1 and Zou. In this research, climate variables from gridded observed data for the years 1981 to 2022 were used to analyze current climate conditions. For the analysis of future climate conditions, namely from 2021 to 2050, nine general circulation models were used. For socio-demographic data, a survey was conducted among 449 people aged 18 and over, spread across the territories of Zio1 and Zou. The results show that the implementation of climate actions is not a priority in the municipalities of Zoi1 and Zou. Several projects carried out at the local level are not sized to take into account climate variations.

Qualitative Study of Reasons for Effective Human Resource Information Systems in the Health Sector of a Southern African Country

Emmanuel Udekwe — 2025-04-16

Human Resource Information Systems (HRIS), as mechanisms for human resource management, are recognised to facilitate transformative change within organisations. In the context of the health sector, effective human resource performance is essential for organisational development and to achieve the United Nations (UN) Sustainable Development Goals (SDGs). It is noteworthy that, despite a focus on research and development regarding HRIS within the health sector, the precise mechanisms through which such systems can enhance sustainability in Southern African countries, such as South Africa, remain ambiguous. This research underscores the importance of implementing effective HRIS in the health sector. The research employed qualitative methodologies, utilising interviews as the primary data collection tool. Multiple hospitals expressed their interest in participation, and the Department of Health of the Southern African country granted the necessary approvals. A purposive sampling approach was employed to select the participants from the hospitals. The research adopted an inductive approach within an interpretive paradigm. To ensure the validity of the research instrument, psychometric property testing was conducted. The findings indicate that the implementation of HRIS within the health sector is partially comprehended. Furthermore, several reasons that hinder the effectiveness of HRIS were identified, including lack of familiarity, resistance, perception, guidance and issues related to security. The research provides recommendations for overcoming these barriers to enhance the efficacy of HRIS in the health sector, thereby fostering employee commitment and future research.

Enhancing Mathematics Education with Modern Teaching Equipment in Junior Secondary Schools in Nigeria

Vivian Morenike, OLASENI — 2025-04-18

Mathematics is mainly considered a difficult subject for students, but when the teaching is simplified, assimilation becomes effortless as well. This study examined the role of modern teaching equipment in achieving mathematics education objectives in schools. Four research questions were raised to guide the study. This study aimed to see how modern technological equipment can ease the teaching and learning of Mathematics in junior secondary schools. The study employed a descriptive survey research design, focusing on Nigeria's junior secondary school mathematics teachers. A purposive sampling technique was used to select 100 teachers to participate in the study. Data were analyzed using descriptive statistics, including frequency counts and simple percentages. The findings indicated that modern teaching equipment enhances teaching by making it more engaging, improves the efficiency and effectiveness of mathematics education instructors, and highlights important aspects of learning, thus reducing rote memorization. It also facilitates school management’s access to real-time pupil and school data, strengthens the professional image of mathematics teachers, and helps maximize students’ attentiveness. However, many teachers reported challenges such as insufficient modern teaching equipment, frequent power interruptions, high costs of equipment, limited skills among teachers in using these technologies, lack of curriculum experts, and inadequate funding for teaching equipment. Despite these challenges, the use of modern teaching equipment in mathematics education is generally on the rise. Based on these findings, the study recommends that schools prioritize providing adequate ICT resources, maintain equipment properly, and employ well-qualified ICT teachers to foster the effective use of modern teaching equipment in mathematics education.