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As we are living in the fourth industrial revolution era which is differentiated by the speed of technological breakthroughs, the enormous amount of data available can't be handled by the traditional analytical methods to generate new business opportunities. This study will tackle the optimization cycle by analyzing large amounts of usable data to create business opportunities. It provides a model for using Big Data Analytics to support service innovation and design. It is also a working framework for generating a business opportunities engine. It explains artificial intelligence (AI) and its contributions to creating business opportunities from big data and how it helps in improving the strategic planning structure. The study concluded that AI and machine learning added prediction and opportunity values to business data. It also clarifies that AI enriches the experience of business suggestions not only by predicting the best business ideas but also by recommending the best personnel and companies as investors for their preferred project ideas.

This study investigates the role of digital technologies in procurement performance, to support organizations making better technology investment decisions. It has identified eighteen technologies that exhibit potential for use in procurement, while narrowing the study focus on three specific technologies, namely: E-procurement as basic mature technology, in addition to Robotic Process Automation (RPA) and Artificial Intelligence (AI) for the purpose of automating additional procurement activities. The study also investigates the main dimensions of procurement performance and methods for measuring them. This study is applied to the manufacturing sector in Egypt through use of a five-scale Likert questionnaire to examine the role of digital technologies in procurement performance. The study found a statistically significant positive relationship between the independent variables of E-procurement, Robotic Process Automation (RPA), and Artificial Intelligence (AI), and the dependent variable procurement performance. The study recommends utilizing E-procurement solutions to automate procurement activities. Robotic Process Automation (RPA) can be utilized in automating routine activities, reducing costs, and enhancing reliability. Artificial Intelligence (AI) can provide a competitive edge by increasing the percentage of purchase orders delivered on time. Other digital technologies can be considered for comprehensive automation and digital transformation of the procurement function.

The purpose of this study is to investigate the relationship between external integration and operational performance. The research problem: is to answer if there relationship between external supply chain and operational performance, and the answer of this will be shown through the study.External integration has been measured by supplier integration and customer integration. Also, operational performance has been measured by flexibility, speed time, cost, and quality. This has been applied to the top 50 pharmaceutical manufacturers in Egypt according to the www.repsology.org annual report 2023. Data questions were collected by Google Forms and interviews with middle and top management, and they were tested using the GMM teqniec. Results indicate that there is a significant positive relationship between supplier integration and operational performance (flexibility, time speed, cost, and quality). Finally, there is a relationship between customer integration and operational performance (flexibility, time speed, cost, and quality). One of the most important recommendation; Time speed should be enhanced, as it is importants to increase production capacity.

The purpose of this study is to investigate the effect of information and internal integration on operational performance. The research problem: is to answer if there an effect of the supply chain information and internal integration on operational performance, and the answer of this will be shown through the study. Information integration has been measured by information sharing and collaborative planning. In addition to this, internal integration is considered as an independent variable. Also, operational performance has been measured by flexibility, speed, time, cost, and quality as dependent variables. This study has been applied to the top 50 pharmaceutical manufacturers in Egypt, as mentioned in the www.repsology.org report for 2023. Data was collected through a questionnaire using Google Forms and interviews with middle and top management. The data was tested using the GMM techiec. The results indicate that there is a significant effect between information integration and operational performance (flexibility, time speed, cost, and quality). Finally, there is a significant effect between internal integration and operational performance (flexibility, time speed, cost, and quality). One of the most important recommendation; The organizations should improve the information sharing, planning systems, between partnesrs, and its departments, and also spreed awearness to minimize its operation's costs.

Purpose As the need for efficient solutions and transactions simpler as investor and financial service user needs become more sophisticated. Given the rise in the use of automated services, it was inevitable that financial institutions would have to increase the number of digital services offerings. Digitization provides many opportunities for economic growth and by enabling nations to provide more diversified educational opportunities, universal access, and a comprehensive supportive environment for the development of societies transforming and preserving natural resources, the environment, and people. It concerns the necessary transformation of businesses, individuals, and communities. Where, circular economy signifies future sustainability and enables optimal resource utilization. However, there are significant impediments to digital transformation and adoption in a circular economy context. The study investigates the hurdles to digitization and digital transformation initiatives in the circular economy and clarifies the role of digitization in enhancing sustainability. Findings The improvement of business sustainability is one of the advantages of implementing new technologies; additionally, the most significant barrier to digitization in the circular economy emerged as the risk of data security and information privacy in connection with the use of external data and protecting customer data. In addition, financial difficulties seemed to be the most important category of barriers to the adoption of digital manufacturing in the circular economy. Originality Despite all of the potential advantages of using Industry 4.0 technology in the manufacturing sector, adoption is still in its early stages and faces significant challenges that must be solved to hasten adoption. This study investigates how digitization might enhance sustainability.

Purpose: The adoption of new digital technologies has become increasingly necessary as markets continue to evolve and become more competitive, taking advantage of the growth of a real competitive advantage (Pappas, 2018)&(Grazia Francesca, 2020).Digitization process necessitates the widespread application of a variety of digital, real-time, and networked technological goods and services that can link individuals, organizations, governments, and machines. Digitalization has developed into a significant megatrend, raising concerns about how information technology may impact organizational relationships. Research problem: It has been more popular to leverage digitization in service sector to reduce costs and increase profitability. In order to contend in the current fourth industrial revolution, increasing productivity and competitiveness is the aim. Examining how digitization and institutional quality are related is essential. This means that the research challenge is as follows: Unified data, analytics, and digital frameworks are examples of sustainable digital capabilities that enable the integration of business and IT, impact customer experience, and improve operational procedures while reducing costs (Chandola V., 2016). The research gap has been evolved from lack of researchers in this field. In order to assist managers and stakeholders in reaching the intended objectives, this study examined how digitalization affects attaining institutional excellence in the Egyptian banking sector. In order to achieve institutional excellence, this study aims to characterize the impact of digitization, its benefits, and its role and impact on achieving institutional excellence in the Egyptian banking sector. The analysis will assist managers of the banks and other stakeholders in getting the results they anticipated from adopting that technology. Results The study's findings demonstrate that digitization influences institutional excellence through development, competitive advantages, value creation, internal efficiency, and cost savings, and that these same components primarily affect their digitization process and institutional excellence in the dynamic and turbulent environment. Practical implications The study's findings might help banks' managers in understanding how to incorporate new technology. It might inspire managers to adopt new technologies and improve their digital capabilities in order to guarantee the long-term health of their companies. By giving evidence of the empirical influence of digitization on institutional excellence in the case of the banking sector in Egypt, this study adds to the body of existing knowledge and fills a knowledge gap. Study limitations This study is only applicable in Greater Cairo, bringing up new avenues for researchers to apply this study in a comparative study with other studies in other governorates countries; also, time limits precluded the researcher from focusing on a specific industry .As a result, the instances are varied and come from a variety of industries. Recommendations: Theoretical recommendations Scholars can incorporate case studies into many subjects and apply them to other fields as well. As well as other nations and governorates. Practical recommendations 1. New developments in technology. 2. Fortifying cybersecurity measures. 3. Regulations concerning online banking.

This study explores the impact of artificial intelligence (AI) on the end-to-end customer-centric business model, covering all stages from marketing to after-sales services. The research begins with the premise that AI is a key driver in reshaping business strategies by enhancing customer experience and operational efficiency. The first section reviews the theoretical framework of AI and its applications in business, such as big data analytics, automated offer personalization, and customer service chatbots. These tools enable companies to better understand customer behavior and predict future needs. The second section analyzes AI's role across different stages of the value chain, highlighting its contributions to supply chain management, cost reduction, and streamlining of internal processes. It also underscores AI's role in targeted marketing, where algorithms deliver personalized content that increases engagement and purchase likelihood. The third section presents findings from a field study conducted with Egyptian companies across various sectors, showing that AI adoption improved customer satisfaction and loyalty but faced challenges such as weak technological infrastructure and limited availability of skilled professionals. The study concludes that AI is not merely a technical tool but a strategic transformation requiring a comprehensive redesign of business models to become more customer-focused. Recommendations include investing in training and capacity building, developing digital infrastructure, and adopting regulatory policies that encourage innovation. Abstract Written by Dar AlMandumh, 2025, Using AI

The paper aims to illustrate the differences between the concept of supply chain management and the concept of green supply chain management, it first discusses the different concepts and then it explains each concept dimensions. It also explained the suppliers' selection criteria in the two different concepts. Later it handles the drives affect the application of the green concept and the barriers facing it. The last part deals with the green model benefits and its importance for the different. organizations and how it improves the organization performance.

Purpose: Determine the driving and hindering forces of applying artificial intelligence to improve the quality of E-learning in Ain Shams University. Approach of the study: The study was based on descriptive and analytical method to study the relationship between the variables. Population and Study Sample: The empirical study was applied in Ain Shams University, the sample was taken from 5 Theoretical and Practical colleges such as Medicine, Engineering, Law, Business, and Arts by collecting 383 questionnaires from students. Research Problem: Since 2019, with the spread of Corona virus, universities began to replace traditional learning methods with E-learning, which led to immediate disruption to the lives of many. The problem of the study lies in that this disruption is due to some of the problems that faced e-learning, such as weak infrastructure, technological sufficiency challenges, and students' isolation challenges and lack of students' interaction with their instructors appropriately. Some students face difficulty in dealing with modern systems and lack of experience and knowledge in the field of e-learning. During the collection of the initial sample of the questionnaire, the researcher found that some students responded with disagree and others with neutral about achieving the quality of e-learning, which indicates a lack of uniformity of opinion and the need for research into whether it needs further development. Findings: Reliability and validity of the research variables. As a result, it represents the targeted population well, and can be used in the subsequent statistical analysis. By conducting simple regression analysis, we found that, there is a statistically significant effect of the driving forces on applying artificial intelligence to improve e-learning quality in Ain Shams University, which are performance expectancy, effort expectancy, and social influence, while multiple linear regression analysis found a significant effect only of Performance expectancy, and effort expectancy on E-learning quality. The main barrier for applying artificial intelligence is student isolation challenges only, as all other barriers showed no significant effect on E-learning quality.

Over the past few years, entrepreneurship in Egypt has received more attention, and through this interest the number of Egyptians seeking entrepreneurial opportunities has increased, and since individuals are the ones responsible for entrepreneurial activities. It was important to investigate and find out if a gender difference could have an impact on the effectiveness of entrepreneurship. This study aimed to provide information and explore whether gender differences can have an impact on the effectiveness of entrepreneurship in small and medium sized enterprises. By focusing on various factors such as age, education, previous experience, in addition to interpersonal skills, goal attainment and business growth. Since females are less likely than males to participate in entrepreneurship activities- which negatively affects the greater integration of females into the labor market and the start of their own businesses- results showed that the gender of entrepreneur had no effect on profit growth, increase in employment, technology skills or goal attainment. While the gender of entrepreneur had an effect on growth in sales, interpersonal skills and business skills.