The goal of the study was to look into the variables affecting small-scale shea butter processors' access to innovation support services (ISS). 181 small-scale shea butter producers in 16 administrative districts in the Northern Region provided the study's data. According to the research, 88% of businesses had access to services that supported innovation. These services can be acquired through one's business or business group, clients, rival businesses, as well as suppliers. According to the results of the logistic regression model, a firm's ability to acquire support services for innovation is significantly influenced by its age, group membership, manager's sex, and manager's nationality. The model generated values for Pseudo-r-squared, Chi-square, and Prob > chi2 of 0.164, 21.274, and 0.031, respectively.

This research article explores the crucial role of ethical leadership in fostering organizational trust and integrity. Ethical leadership serves as a catalyst for establishing a culture of trust and integrity within an organization, enhancing employee engagement, promoting ethical behavior, and contributing to sustainable organizational success. This article sheds light on the key mechanisms through which ethical leadership influences trust and integrity in organizations by examining the theoretical foundations and empirical evidence. The findings emphasize the importance of ethical leadership practices, including ethical decision-making, role modeling, communication, and accountability. Additionally, the article presents practical implications for leaders and organizations to enhance ethical leadership and cultivate trust and integrity.

Chick to Clicks, an ICT-based approach, was implemented to address challenges faced by small-scale poultry farmers in Bansud, Oriental Mindoro, Philippines. This study aimed to assess the impact of Chick to Clicks on poultry farming productivity, market access, and technology adoption. A questionnaire was administered to evaluate farmers' knowledge of technology, market accessibility challenges, and economic implications of technology adoption. The findings revealed a mean productivity score of 3.87, indicating moderate productivity in poultry farming with the use of technology. Similarly, the mean score for market access challenges was 3.87, highlighting the moderate level of challenges faced by farmers, primarily due to high feed costs. However, farmers demonstrated awareness of the benefits of technology integration, with a mean score of 3.44, while expressing concerns about hardware availability and cost. To enhance the implementation of Chick to Clicks, recommendations were made to improve hardware accessibility and promote the advantages of technology adoption. Furthermore, this study explored the integration of ICT and social media for sales monitoring in poultry management. The research highlighted the benefits of implementing Chick to Clicks, utilizing mobile apps and online platforms for optimized management, market expansion, and improved production. The findings indicated that ICT integration provided real-time monitoring, data analytics, and enhanced business performance for farmers in Bansud, Oriental Mindoro. It is recommended that farmers embrace these technological advancements to overcome challenges, enhance productivity, and increase profitability in poultry farming. This study contributes to the understanding of the potential of ICT-based approaches in agricultural development, sustainable farming practices, and poverty reduction.

The study focused on evaluating the developed E-Trading Application for Rice Farmers in the Province of Oriental Mindoro, which aimed to improve the quality of selling the products in the market. The evaluation was based on ISO 25010 in determining the performance of the E-Trading Application for Rice Farmers in the Province of Oriental Mindoro, using the five (5) criteria, which are functional suitability, performance efficiency, usability, reliability, and security. The development phase used the developed E-Trading Application for Rice Farmers in the Province of Oriental Mindoro. The Waterfall Software Development Life Cycle Model involves gathering requirements, analysis, design, code, test, and user acceptance. The respondents evaluated the performance of the E-Trading Application for Rice Farmers as Effective. The results, using a t-test, showed that there is no significant difference between the evaluation of the rice farmers and IT practitioners in the performance of the E-Trading Application for Rice Farmers. The E-Trading Application for Rice Farmers was developed using the different stages in the Waterfall methodology. No significant difference exists in the evaluation between the rice farmers and IT practitioners on the developed E-trading Application as to functional suitability, performance efficiency, usability, reliability, and security. The E-Trading Application was recommended to the entire region of MIMAROPA for implementation to cater to more farmers and consider the respondents' suggestions to further improve the application.

Science's field of artificial intelligence is concerned with giving machines more human-like ways to solve challenging issues. The area of computer science focuses on getting computers to behave more like people. This typically entails taking traits from human intelligence and applying them as algorithms in a way that is computer friendly. Depending on the defined needs, a more or less flexible or efficient strategy might be used, which affects how artificial the intelligent behavior seems. The demand to create new technology to aid in bettering care for the world's aging population is increasing. Numerous social, economic, and health issues need to be resolved due to how quickly the older adult population is expanding. AI can be very helpful in this area by assisting the healthcare system in meeting the rising demand for senior healthcare services. In this study, we'll examine how AI is helping seniors take better care of themselves.AI-powered products and technologies can assist seniors in maintaining their independence while also improving their quality of life. But, AI may employ threats to senior citizens. They may require support in coping with new technology and managing AI-powered products. Furthermore, elders may be particularly concerned about data privacy and the possibility of misuse or malfunction.AI can benefit seniors in many areas, but seniors must cautiously approach it. Senior citizens must have access to the necessary training and support to use AI safely and successfully. Furthermore, improvement plans to prevent issues such as data protection and ensure that AI is used legally are necessary.Concerning the keywords used, the acronyms and terms that were provided in the some manner were advantageous to the reader in order to educate themselves on the ideas that have been visible in the text while he was reading it.

Community participation is an emerging socio-incentive tool needed to be inculcated in resource management; however, the influencing effect for households to participate is understudied. Therefore, this study sought to determine possible influencing level of participation in forests resources management, and to examine determinants that either support or constraints participation. Structured questionnaire was administered to 234 rural households in Uasin Gishu County, Kenya, while multi-stage and systematic random sampling was employed as sampling procedure. Expressed WTP values from hypothetical market scenarios on either presence or inexistence of participation were used to determine its influence, while determinants of public participation were analysed using OLS regression model. Additionally, Logit model was used to analyse the probability of influence of each selected variable in this study. Results showed that participation is an incentive that could contribute to about 60% of WTP value for the management of forests. Again, OLS regression results revealed that variable of education level (t = 1.052, p< 0.1) and households income (t = 0.2.694, p< 0.05) supports participation, and variable of family size (t = – 0.121, p< 0.01) impedes participation, while their probability to influence was at 55.7%, 57.0% and 49.3%, respectively. These findings point the need to contextualise education level, income and family size of the population when formulating participation policies and programs by the forests conservation authorities. However, significance of random factor (t = 27.094, p< 0.001), with its probability to influence at 73.0%, explains existence of unobserved variables that influences participation suggest the need for further investigation on variables beyond the scope of this study. The implication of this finding informs resource managers to identify and adopt an implementation mechanism that considers critical demographic factors that enhances forests conservation to sustain forests stock flow of consumable products to the communities.

The modern business environment is highly diverse; therefore, companies of different ownership and sizes have complex tax issues to deal with worldwide. Given the ever-changing regulatory environment and complex tax provisions, the primary objective is to stay compliant while optimizing operations and keeping up with best practices. Among other things, efficient tax return procedures fulfill the requirements enlisted by the authorities and allow businesses to allocate their financial assets most advantageously by avoiding various risks. Furthermore, the level of tax regulations has pushed the trade to set up the most sophisticated tech-based solutions to automate complying processes. Legacy manual methods usually need to catch up when processing massive amounts of data and handling the intricacies. Accordingly, to bring technology into full play, however, we must integrate these approaches to solve the problems efficiently.