درخت حوزه‌های تخصصی

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

One of the biggest risks in the economies of countries is the bankruptcy of industries and companies. Predicting the bankruptcy of companies and industries provides the opportunity for the government, investors, and shareholders to take strategic actions to deal withcrises and prevent potential losses. From an economic perspective, financial distress can be interpreted as the company being loss-making, in which case the company has failed to succeed. In fact, in this case, the company's rate of return is less than the cost of capital. Another form of financial distress occurs when the company fails to comply with one or more of the debt covenant terms, such as maintaining the current ratio or the special value ratio to total assets according to the contract. Therefore, there is no general agreement on the definition of financial distress, and the reasons that lead companies towards failure are very different. One possible reason for failure is the wrong direction ofthe company, which can be analyzed through the financial ratios of the companies. Since the 1960s, many studies have only examined financial ratios as indicators of failure. Therefore, the analysis is the basis for improving and developing failureprediction models. In this study, the influential variables in predicting bankruptcy were first selected using backgrounds. The most important factors were identified with the opinions of experts, and the weight of each criterion was obtained using the AHP technique. Then, these criteria were ranked using the TOPSIStechnique to identify the most important factors. After completing these steps, by entering these variables into an artificial neural network of the multilayer perceptron type as input and using the backpropagation algorithm to train the network, the prediction accuracy increased, and accurate and reliable results were obtained

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

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.