Inland Container Depots (ICDs) are inland multi-modal terminals where goods in intermodal loading units can be transferred directly to seaports. The contribution of ICDs to regions’ economic and social growth is undeniable. To achieve the sustainable development of ICDs, evaluating and improving their service quality is critical. This study aims to investigate the factors contributing to the service quality of ICD in a developing country. The data utilized covers some ICDs in the Red River Delta, Vietnam. Regarding analytic methods, descriptive statistics first were run to show the level of aspects of service quality of ICDs. Subsequently, attitudinal statements were analyzed using exploratory factor analysis before linear regression was applied to recognize the factors influencing the service quality of ICDs. Generally, the service quality of ICDs was evaluated at an acceptable level but far from the high one. The results suggested that the four influential service quality factors included location and accessibility, facilities, process and management, and labor. Based on the findings of contributing factors, managerial implications were proposed.

Organizations in the modern, global environment have moved away from traditional methods of communication and toward creating all-encompassing plans that revolve around the engagement and motivation of their workforce. This change highlights the critical function of strategic internal communication, a still-emerging but increasingly important field of study and practice in the business sector. The modern workplace sees a change in the roles that employees play, with workers taking on more and more duties that were previously related to public relations. Understanding this shift in PR practice requires an understanding of role expectations, as norms and expectations have a significant impact on communication behavior and, in turn, organizational performance. To interpret the data in this context, a content analysis of secondary data was conducted. This made it possible to assess the body of knowledge in order to determine its applicability, consistency, replication, and rebuttal. The study makes the case that paramilitary organizations, like the Nigeria Customs Service, have internal communication procedures that are different from those of traditional corporate organizational structures. Given the agency’s diverse responsibilities in income generation, trade facilitation, and the abolition of smuggling, this discrepancy is especially noticeable. The study shows that the relationship between internal communication and employees’ job performance was mediated by employee participation and job satisfaction.

Vision statements are seen as important factors that come before the development of strategies. They excel at encapsulating the strategic direction of a company, clearly defining its scope, boundaries, and the process of creating value. Vision statements function as comprehensive frameworks that guide the development of several strategic elements, including mission, strategic capabilities, strategic intent, objectives, goals, core values, standards of behavior, and business models. However, research on this subject remains scanty, particularly within academia. Therefore, this study examined the impact of university vision on staff effectiveness, building on transformational leadership theory and strategic leadership theory. The study adopted a positivist research philosophy. The research employed a cross-sectional study design. This study employed a descriptive research design. Questionnaires were devised by the researcher to collect data from a randomly selected group of 186 academic personnel from the four colleges in a private university using stratified sampling. The data obtained was subject to validity checks using composite reliability, the average variance extracted (AVE) estimate, and the Cronbach Alpha coefficient. The findings reveal that the vision of the university had a significant but weak impact on the effectiveness of staff. Based on the findings and conclusions, the study suggests that the university’s organizational vision should be consistently improved and effectively conveyed to staff members to direct their efforts toward achieving the university’s vision.

Presented article takes a study done by researchers Davari & Strutton in the US in 2014 and replicated the same approach and methodology in evaluating how green marketing mix elements (product, price, promotion, place) influence brand associations, grand loyalty, perceived brand quality, and brand trust, in the context of retail chain stores in Czechia. The reason for this is the fact that the issue of reconciling pro-environmental beliefs of consumers with their real behavior is still topical. Businesses need to be careful with their green claims and focus on authentic green marketing in order to attract and retain the trust of environmentally conscious consumers in the long term. The research employs quantitative data analysis, drawing data from the survey, which was run online for five weeks and collected 4700 responses. The respondents are people who live in Czechia and have shopped in one of five stores at least during the last month. The reason for focusing on the Czechia is primarily the fact that green marketing is basically only on the rise here, while greenwashing still remains a significant problem. Six hypothesis were formulated, and linear regression analysis was used to test them. Key findings of the research revealed that green products and promotions positively influence brand associations and perceived brand quality, while green promotions significantly enhance brand loyalty and trust. Additionally, there was observed influence of consumers´ environmental concerns and consideration of future consequences significantly moderating the relationship between green marketing and brand equity. The findings provide insight for businesses to integrate green marketing strategies to increase brand trust, loyalty, and perceived quality while environmentally conscious consumers.

With the wide application of the Internet and smart systems, data centers (DCs) have become a hot spot of global concern. The energy saving for data centers is at the core of the related works. The thermal performance of a data center directly affects its total energy consumption, as cooling consumption accounts for nearly 50% of total energy consumption. Superior power distribution is a reliable method to improve the thermal performance of DCs. Therefore, analyzing the effects of different power distribution on thermal performance is a challenge for DCs. This paper analyzes the thermal performance numerically and experimentally in DCs with different power distribution. First, it uses Fluent simulate the temperature distribution and flow field distribution in the room, taking the cloud computing room as the research object. Then, it summarizes a formula based on the computing power distribution in a certain range by the numerical and experimental analysis. Finally, it calculates an optimal cooling power by analyzing the cooling power distribution. The results shows that it reduces the maximum temperature difference between the highest temperature of the cabinet from 5-7k to within 1.2k. In addition, the cooling energy consumption is reduced by more than 5%.

With society’s continuous development and progress, artificial intelligence (AI) technology is increasingly utilized in higher education, garnering increased attention. The current application of AI in higher education impacts teachers’ instructional methods and students’ learning processes. While acknowledging that AI advancements offers numerous advantages and contribute significantly to societal progress, excessive reliance on AI within education may give rise to various issues, students’ over-dependence on AI can have particularly severe consequences. Although many scholars have recently conducted research on artificial intelligence, there is insufficient analysis of the positive and negative effects on higher education. In this paper, researchers examine the existing literature on AI’s impact on higher education to explore the opportunities and challenges presented by this super technology for teaching and learning in higher educational institutions. To address our research questions, we conducted literature searches using two major databases—Scopus and Web of Science—and we selected articles using the PRISMA method. Findings indicate that AI plays a significant role in enhancing student efficiency in academic tasks and homework; However, when considering this issue from an ethical standpoint, it becomes apparent that excessive use of AI hinders the development of learners’ knowledge systems while also impairing their cognitive abilities due to an over-reliance on artificial technology. Therefore, our research provides essential guidance for stakeholders on the wise use of artificial intelligence technology.