This study examines the impact of emotional intelligence (EI) and employee motivation on employee performance within the telecommunication industry in the Sultanate of Oman. The target population consisted of 4344 non-managerial employees across nine telecommunication companies, including Omantel, Ooredoo, Vodafone, Oman Broadband Company, Awasr Oman & Co, TEO, Oman Tower Company L.L.C, Helios Tower, and Connect Arabia International. Employing a deductive research approach, finally data were collected via an online survey from 354 respondents. The hypotheses were tested using multiple regression analysis. The results indicate that all dimensions of EI self-awareness, self-regulation, empathy, and social skills positively and significantly influence employee performance, with social skills having the strongest effect. Furthermore, both intrinsic motivation factors, such as work itself and career development, and extrinsic motivation factors, including wages, rewards, working environment, and co-worker relationships, significantly enhance employee performance. The interaction between EI and employee motivation was found to amplify these positive effects. Among control variables, age and education level showed significant impacts, while gender did not. These findings underscore the critical role of both emotional intelligence and motivation in driving employee performance. The study suggests that managers and policymakers should adopt integrated strategies that develop EI competencies and enhance motivational factors to optimize employee performance, thereby contributing to the success of organizations in the telecommunication sector.

This research was conducted with the intention of investigating and analyzing the factors that influence the views that consumers have of advertising on social media platforms. The goal of this study is to look at the many ways that new media ads affect consumers’ purchasing behavior. An evaluation of the validity and reliability of the measures has been carried out with the assistance of confirmatory factor analysis. In addition, the quantitative research approach makes use of both simple random sampling and statistical sampling. The information was gathered via the use of a questionnaire that was issued to fans of new media. Using a Likert scale with five points, the questionnaire’s questions were evaluated to ensure that they were appropriately worded. The total sample size that is employed is 359. The purchase behavior of consumers of new media has been evaluated based on five variables, including the ability to attract attention, provide amusement, establish legitimacy, emphasize creative character qualities, and evoke emotional appeal. The objective of this study paper is to investigate the impact that advertisements broadcast via new media have on consumers’ decision-making processes regarding the acquisition of goods and services. The research’s findings show that when consumers are weighing their options for purchase, advertisements having the largest impact on their purchasing decisions in new media. With the goal of offering important insights into the new media advertising industry, the author seeks to link these results with pertinent ideas from the theoretical framework.

The study acknowledges empirical, conceptual, and policy-driven papers that address emotional assertiveness, assertive communication, and assertive training as means of improving employee performance in Chinese banking, which is a significant contributor to the Chinese economy. Most banking enterprises have suffered from poor performance and a lack of aggressiveness in operation. It can be used by both managers and employees to create a good interaction process and a favorable work environment, which can help elevate performances. The research employs a quantitative approach, utilizing a questionnaire survey and simple random sampling. The sample comprises 381 employees from the Chinese banking industry, with a response rate above 70%. The regression analysis confirms that emotional assertiveness, assertive training, and assertive communication significantly impact employee performance. In conclusion, this study contributes to academia and industries by addressing the importance of assertiveness in improving performance. The policy-driven evidence on the conceptual framework of HR literacy in emotional, training, communication, and job performance should be adopted and reviewed in the country’s existing management by objective policy and legal framework in resolving employee job performance and training that are still underutilized and have a great deal of potential to satisfy the employees and management needs by establishing and emerging nations.

The integration of Big Earth Data and Artificial Intelligence (AI) has revolutionized geological and mineral mapping by delivering enhanced accuracy, efficiency, and scalability in analyzing large-scale remote sensing datasets. This study appraisals the application of advanced AI techniques, including machine learning and deep learning models such as Convolutional Neural Networks (CNNs), to multispectral and hyperspectral data for the identification and classification of geological formations and mineral deposits. The manuscript provides a critical analysis of AI's capabilities, emphasizing its current significance and potential as demonstrated by organizations like NASA in managing complex geospatial datasets. A detailed examination of selected AI methodologies, criteria for case selection, and ethical and social impacts enriches the discussion, addressing gaps in the responsible application of AI in geosciences. The findings highlight notable improvements in detecting complex spatial patterns and subtle spectral signatures, advancing the generation of precise geological maps. Quantitative analyses compare AI-driven approaches with traditional techniques, underscoring their superiority in performance metrics such as accuracy and computational efficiency. The study also proposes solutions to challenges such as data quality, model transparency, and computational demands. By integrating enhanced visual aids and practical case studies, the research underscores its innovations in algorithmic breakthroughs and geospatial data integration. These contributions advance the growing body of knowledge in Big Earth Data and geosciences, setting a foundation for responsible, equitable, and impactful future applications of AI in geological and mineral mapping.

This research investigates the effects of drying on some selected vegetables, which are Telfaria occidentalis, Amaranthu scruentus, Talinum triangulare, and Crussocephalum biafrae. These vegetables were collected fresh, sliced into smaller sizes of 0.5 cm, and dried in a convective dryer at varying temperatures of 60.0 °C, 70.0 °C and 80.0 °C respectively, for a regulated fan speed of 1.50 ms‒1, 3.00 ms‒1 and 6.00 ms‒1, and for a drying period of 6 hours. It was discovered that the drying rate for fresh samples was 4.560 gmin‒1 for Talinum triangulare, 4.390 gmin‒1for Amaranthu scruentus, 4.580 gmin‒1 for Talinum triangulare, and 4.640 gmin‒1 for Crussocephalum biafrae at different controlled fan speeds and regulated temperatures when the mass of the vegetable samples at each drying time was compared to the mass of the final samples dried for 6 hours. The samples are considered completely dried when the drying time reaches a certain point, as indicated by the drying rate and moisture contents tending to zero. According to drying kinetics, the rate of moisture loss was extremely high during the first two hours of drying and then steadily decreased during the remaining drying duration. The rate at which moisture was removed from the vegetable samples after the drying process at varying regulated temperatures was noted to be in this trend: 80.0 °C > 70.0 °C > 60.0 °C and 6.0 ms‒1 > 3.0 ms‒1 > 1.5 ms‒1 for regulated fan speed. It can be stated here that the moisture contents has significant effects on the drying rate of the samples of vegetables investigated because the drying rate decreases as the regulated temperatures increase and the moisture contents decrease. The present investigation is useful in the agricultural engineering and food engineering industries.

The study aims to explore the impact of examination-oriented education on Chinese English learners and the importance of cultural intelligence in second language acquisition. Through a questionnaire administered to postgraduate students majoring in English in China, the research discovered that the emphasis on test scores and strategies in China’s higher English education system has led to a neglect of cultural backgrounds and cross-cultural communication. The findings underscore the necessity for reforms in English teaching within Chinese higher education to cultivate students’ intercultural intelligence and enhance their readiness for international careers in the era of globalization.