مطالب

As changes in information technology have a significant impact on the structure of companies, integration within the supply chain, which exists directly or indirectly in the structure of any company, can be beneficial for company performance. This study examines the indirect impact of customer responsiveness integration within the supply chain on the economic sustainability of the supply chain through the adoption of blockchain technology as a dynamic capability component in the automotive industry using a Bayesian Structural Equation Modeling (BSEM)approach. The statistical population of the study consists of experts, supervisors, and managers of automotive companies, with 123 individuals selected through non-probability sampling. To assess the validity of the questionnaire, opinions of experts weresought, and Cronbach's alpha was used to determine the reliability of the questionnaires. The SEM-AMOS24 software was used to analyze the research hypotheses and examine the validity of the model usingBSEM. Thefindings of the study indicate that internal integration, including customer and supplier integration, and external integration within the supply chain, have a significant impact on the relationship between blockchain technology adoption and the economic sustainability of the supply chain. Additionally, customer responsiveness about Supply Chain Integration (SCI) and economic sustainability is achieved by attracting desirable domestic and foreign investors.

Etisalat is a global business which currently operates in 16 countries across the Middle East, Asia and Africa, and as one of the 25 leading global telecoms companies, the management team has identified Nigeria, the largest black Nation on earth as a strategic opportunity to increase both its brand perception and returns to its shareholders. This piece, written based on few frameworks and models to provide an analytical recommendation to the leadership of Etisalat on how to penetrate the market, and also sustain its presence despite the monopolistic competition. The report provides an insight into a business case establishing the growth of LTE subscriptions in the market and also provides a macroeconomic analysis of the business environment of the Nigerian market. The popular SWOT analysis framework guided the critics of the status and capability of Etisalat as a global business, providing insight to its competitive advantages and its area of development as a brand. One identified opportunity for Etisalat, among many others, is the strong governmental and public relations capability of Etisalat which is considered a strategic opportunity to grow its presence in the region. The report also analyzed the economy of the country from a macro and more objective perspective. Identifying key challenges and strategic case for why Etisalat would succeed in Nigeria despite the obvious challenges. Identifying FDI in the telecoms industry as a growing area, the country has been able to help service businesses attract more infrastructural investment which has also reduced the cost of operation at scale. Finally, the piece provides critical short-term and long-term recommendations with an implementation plan which further identifies areas of immediate opportunities

Macroeconomic factors significantly influence a country's economy and financial markets, thereby playing a pivotal role in the development of financial products. The PESTEL framework serves as a comprehensive analytical tool to examine the impact of political, economic, social, technological, environmental, and legal factors in identifying opportunities and threats for financial product development. This study utilizes the PESTEL model to analyze the impact of macroeconomic factors on the evolution of financial products and explores the associated opportunities and challenges. The research investigates macroeconomic factors such as interest rates, inflation, economic growth, political stability, societal changes, technological advancements, growing environmental consciousness, and regulatory frameworks. Data were collected from reliable secondary sources and analyzed using qualitative content analysis. Findings indicate that political stability and government support for financial innovation can foster the development of new products. Conversely, political instability and unexpected regulatory changes pose significant threatsto financial firms. Economic conditions like interestrates and economic growth exert a substantial influence on market demand and access to capital. The results suggest that lower interest rates and economic growth create favorable opportunities for financial product development.Furthermore, evolving consumer needs and preferences, coupled with technological advancements, particularly in fintech, are transforming financial processes and customer experiences, enhancing efficiency, and improving customer satisfaction. Additionally, the increasing focus on environmental issues has driven demand for green and sustainable financial products. This research recommends that financial managers and policymakers analyze and understand these factors tocapitalize on emerging opportunities and mitigate risks by adapting to environmental and technological changes. Future research can delve deeper into the intricate relationships between these factors through a more international perspective

Today, with the virtualization of education, schools no longer have their former identity and the sense of belonging to the school among students is decreasing, so it is necessary to provide educational solutions to improve the sense of belonging to the school. Collaborative learning was carried out on belonging to the school of secondary school students. The present research method was semi-experimental in terms of practical nature and in terms of the intervention method. The research population was 60 second high school students of Sanandaj city, in two intervention groups and one control group. The research tools included reverse learning package (Mahmodi et al., 2023), GI cooperative learning package (Kazemi et al., 2022) and Brown and Evans (2002) sense of belonging to school questionnaire were used to analyze the effectiveness of the analytical test. Covariance was used. Based on the results of the educational intervention, the pattern of reverse learning and cooperative learning has a positive and significant effect on students' belonging to the school (sig<0.05). Also, the findings showed that there is a significant difference between teaching the reverse learning educational program and teaching based on cooperative learning on belonging to the school of students (sig <0.05). Reverse learning is more effective on belonging to the school than cooperative learning. Therefore, based on the results of education based on reverse learning, considering the increase of student involvement in class activities and strengthening the motivations of attending the classroom, it can be effective on belonging to the school of students.

Aim: Marriage is a social institution that forms the foundation of relationships and creates family units. The present study was conducted to examine the effect of transactional analysis on marital quality and positive thinking of married women in District 6 of Tehran in 2020. Methods: This quasi-experimental research was conducted with a pretest-posttest design and included a control group. Among the married women in the 6th district of Tehran who had enrolled in the Institute of Transactional Analysis Training, 34 individuals were selected using Purposive sampling, with 17 randomly assigned to the experimental group and 17 to the control group. The marital quality and positive thinking questionnaires were administered to subjects in the experimental group during the pretest phase, followed by implementing the independent variable (transactional analysis) in the experimental group through 9 three-hour sessions. The control group did not receive any training. After the final session, both groups completed the marital quality and positive thinking questionnaires in the post-test phase. The SPSS 19 software was utilized to conduct the covariance analysis test to analyze the data. Results: The value of F indicates the effect of transactional analysis training on marital quality (F=533.862; P=0.017), and positive thinking (F=14.67; P=0.001) demonstrates the impact of transactional analysis training on positive thinking and marital quality is confirmed after controlling for pretest effects and nuisance variables. Conclusion:This study reveals that transactional analysis impacts marital quality and positive thinking of married women. One of the most crucial functions of training is the ability to express one's needs to the spouse, leading to improvement in marital quality, specifically by reducing stress and anger. Additionally, by helping individuals identify and manage their emotions, transactional analysis training can help control negative emotions and improve their overall outlook, increasing positive thinking. This positive thinking, achieved through transactional analysis training, can improve individuals' mental and emotional well-being and reconstruct their damaged spirits.