Author
Anjali Singh ( MBA-HRM)
Technology and analytics
Improving the impact of Big Data Analytics Projects with Benefits Dependency Networks
(Gandomi & Haider, 2015; Günther et al., 2017; Marshall et al., 2015
Abstract
llowed the activities in the research process model and summarized in. The researchers were involved with three different analytics projects in Vestas during the intervention: projects Alpha, Beta, and Gamma. The projects involved diffe Many large organizations have already adopted big data analytics or begun to do so, but even though it can be a valuable intangible asset, its adoption poses serious challenges Essentially, the adoption of what big data analytics delivers to the organization, is crucial for the organization to realize any value from its investment in big data analytics projects. In this relation, the challenge of extracting value from massive volumes of data has been considered paramount to understanding the dynamics and social environments of an organization Several scholars and practitioners have been trying to understand and unpick the link between deploying big data analytics and how an organization achieves a competitive advantage from it In the following, we first present the research literature on big data analytics projects and benefits realization management, forming our theoretical framing. We utilize the theoretical framing throughout our action research activities in Vestas to show how a benefits management focus on big data analytics projects helps obtain benefits for the organization and serves as a means of orchestration between big data technology, organizational change activities, and stakeholder interests. Big data analytics is characterized by huge volumes of numerous observational data used in a decision-making process and is typically described in terms of the three Vs of volume, velocity, and variety Some researchers define big data analytics as the procedure of accumulating, consolidating, scrutinizing, and exploiting large sets of data from autonomous and heterogeneous resources to improve managerial decision making . A key aspect of these definitions is that, in the end, they are about decision-making. Whether from AI in an automated form or embedded in people’s daily work in organizations, big data analytics must produce actionable intelligence to create value. The research activities forent stakeholders and departments, but they were all characterized by the need to combine and utilize large amounts of data across various departments in Vestas to extract analytical insights
Summary
In this action research study with Vestas, a wind turbine manufacturer relying heavily on big data analytics, we investigated how to improve benefits realization in big data analytics projects. We adopted the benefits dependency network method as our theoretical framework through several iterations with different analytics projects. As a result, we report a benefits dependency network method that includes lessons tailored to analytics projects with big data. Our method can be embedded to existing organizational development practices and bridges the orchestration from benefits to technology in these projects. Our lessons from Vestas suggest improving the realization of benefits from big data analytics projects Our study points to new directions for benefits realization research in big data analytics projects and how they create business value. Realizing the benefits of big data analytics projects does not solely come from implementing big data technology. Thus, future research should address how to place adequate accountability within an organization to realize big data benefits and verify organizational change activities
Digital Game-based Learning and Learning Analytics in Mathematics
(Dele Ajayi et al., 2019; Lai & Hwang, 2016; Tshewang, Chandra & Yeh, 2017)
Abstract
The boom of the 4.0 industrial revolution and the Covid-19 pandemic have changed the teaching and learning process, where digital learning environments have become increasingly necessary and convenient. The application of game-based learning (GBL) provides many benefits, such as helping to improve the quality of the mathematics teaching and learning process. This paper describes digital GBL with the application of Learning Analytics (LA) in a primary school and how the LA The Covid-19 pandemic has changed the norms of human life around the world. This pandemic has resulted in many schools were forced to close, and the face-to-face teaching and learning process cannot be done as usual. In many parts of the world, schools have been closed for months to prevent the spread of the Covid-19 virus During the lockdown, many efforts have been made worldwide to prevent students from missing out from learning, especially in learning mathematics. This is because students often consider mathematics as a challenging subject. It is perceived as uninteresting, difficult and unpleasant As missing out on mathematics lessons for a long period of time will increase students’ risk of dropping out, teachers strive to continue teaching and learning during this pandemic era. Most teachers have shifted to the online platform and provide printed materials for the students to do at home for remote learning. The application of flexible digital technologies and tools in the learning process leads to students’ digital literacy and their development in line with the needs of modern society In teaching 21st-century learners, teachers need to provide them with various learning techniques and methods in line with their cognitive development .Therefore, teachers need to use various methods to facilitate the teaching and learning of mathematics in this new norm The purpose of this research was to identify how the digital GBL application could affect the students’ mathematical achievements. The data recorded by the digital GBL application was used in the LA process and is able to predict the students’ performance The results are presented as being relevant to the students’ mathematics achievements. The results also indicate the LA process used to predict the students’ mathematical performance.
Summary
The results of this study prove that the digital application of the GBL application in the process of teaching and learning mathematics has successfully improved the students’ achievement and triumphed at providing students’ achievement expectations. For this reason, the digital application of the GBL application and LA are particularly suitable to be applied in the new post-pandemic norms of Covid-19. Also, it permits the teachers to monitor the student’s learning performance through the data on the student’s learning application usage. This research was carried out under the ethical guidelines. We took an experiment in a primary school and we informed all the participants the basic information about the research, and we got the permission to use these data for our research. To ensure confidentiality, students’ personel identifiers were removed prior to processing the data.
Review of Using Technologies of Artificial Intelligence in Companies
D.Vrontis 2021
Abstract
The Fourth Industrial Revolution, characterised by integration of advanced technologies such as AI, the Internet of Things, and automation, is expected to impact business models and economic development significantly. Previous research has suggested that the Fourth Industrial Revolution may lead to the development of new jobs, social innovation, and product innovation, as well as improvements in quality of life The Fourth Industrial Revolution, characterised by integration of advanced technologies such as AI, the Internet of Things, and automation, is expected to impact business models and economic development significantly. Previous research has suggested that the Fourth Industrial Revolution may lead to the development of new jobs, social innovation, and product innovation, as well as improvements in quality of life In today’s business world, AI has become prevalent in many processes, leading some to worry that intelligent robots may eventually take over human decisionmaking. However, this essay takes a more positive and practical approach, focusing on how humans and AI can complement each other in decision-making processes. Business decision-making is often characterised by ambiguity, complexity, and equivocality, and both humans and AI have unique strengths that can contribute to these processes. In today’s business world, AI has become prevalent in many processes, leading some to worry that intelligent robots may eventually take over human decisionmaking. However, this essay takes a more positive and practical approach, focusing on how humans and AI can complement each other in decision-making processes. Business decision-making is often characterised by ambiguity, complexity, and equivocality, and both humans and AI have unique strengths that can contribute to these processes. This literature review aims to provide a comprehensive overview of the use of AI technologies in the context of firms. Drawing upon ideas from governance and information sciences literature, this research seeks to organise and synthesise the existing academic contributions and define the 102 implications of intelligent automation for human resource management (HRM). While the use of Big Data has received significant attention in previous review studies, this research focuses specifically on the use of AI technologies in business and HRM. There is a growing body of papers on the strategic use of technology in business. This research focuses on understanding how companies can effectively leverage technology to achieve their business goals and gain a competitive advantage. One area of focus in this research is the role of AI in business strategy. AI is becoming increasingly prevalent in business as companies use machine algorithms that can learn and improve over time. Studies have explored the potential benefits of AI in areas such as operations, analytics, product personalisation, marketing, sales, customer service, and HR, as well as the challenges and opportunities associated with its adoption.
Summary
The paper suggests AI can significantly benefit businesses by providing time and cost savings, improved customer experiences, and streamlined processes. Companies can use AI in customer service, automation, marketing, data collection and analysis, and more. It highlights the potential of AI in various business applications and the need for more research on the strategic application of AI to gain competitive advantages in the business world. The paper aims to evaluate the literature on intelligent automation in the workplace and provide insights for executives to implement AI with awareness of its potential benefits and challenges, as well as its increasing prevalence in the business world and the utilisation of machine algorithms to improve various areas of operations. The benefits of AI include the automation of repetitive tasks, data-driven decision-making, and improved customer experiences. However, the paper also highlights potential challenges and ethical concerns such as data privacy, job displacement, and bias that companies should be aware of and address through ethical guidelines. Future research should focus on further investigating the implications of AI on business and the workforce and developing strategies to mitigate potential risks Acknowledgement.
Teaching Undergraduate Business Students Data Analytics
(Salim et al., 2022; Zhang et al., 2022).
Abstract
This study assesses the effectiveness by using principles of management information systems course at a 4-year, public university located in the southeastern United States. There are both male and female students in both the face-to-face and WEB-based course sections. This course uses as the focal point the introduction of data analytics concepts using Microsoft Excel® as the software tool. The same instructor taught two face-to-face sections and one online section. Students were selected using convenience sampling as members of the course sections were affected. The total number of students that participated in the combined course sections was 90. Microsoft Excel® was the tool selected because of its popularity in the industry. Four analytics projects were defined by the instructor and involved the construction of a model to solve basic business problems. This model construction was followed using built-in, what-if analysis, and add-in tools. Examples are Frontline Solver®, one and two-variable data tables, and pivot tables. The concepts of each targeted skill were demonstrated in class, and where necessary, provided as on-demand video tutorials. All projects provided a visual representation of the expected outcomes in a form that preserved project integrity. Each of the three analytics projects was assigned after the completion of pre-selected McGraw-Hill Sim Net® spreadsheet assignments. This study did not attempt to validate or score the value of selected projects and in no way is the McGraw tool being assessed. There are numerous projects and simulations available, it was at the instructor’s sole discretion as to which text and which projects were selected. Each project was selected based on the instructor’s knowledge of the technical skills required to complete each analytics assignment. Projects one through five provided context and understanding for the first analytics assignment which involved constructing a dynamic spreadsheet model. An entire lecture session discussed and demonstrated examples of spreadsheet models. A separate recorded instructional video was provided to the online students. Upon completion of the basic model, additional Excel project assignments continued to build on the skills needed for each successive analytics project. There was a total of three analytics projects including the initial model construction assignment.
Summary
This research sufficiently concludes that continued work in spreadsheet skills as they relate to data analytics is beneficial to undergraduate students. The future direction would need to include additional instructors and perhaps repeated at other institutions. Performing a comparison between various instructors and across institutions of higher learning may assist in recommendations for improvements in the methodology and types of project activities
Marketing Decision Support System Based on Data Mining Technology
Ind. Mark. Manag. 2017,
Abstract
With the gradual transformation of China’s economic system from a planned economy to a market economy and the deepening of reform and opening up, the business activities of enterprises are in a rapidly expanding three-dimensional strategic space. Enterprises have been pushed into a complex and volatile business environment With the continuous development of business intelligence technology, the application research of decision support systems (DSSs) is deepening. In China, the work in this area started relatively late, and there are few DSS research cases to assist in marketing decision-making. Currently, marketing decision support systems have shortcomings in data integration, historical data, query functions, and data analysis. This article analyzes the characteristics of marketing decision-making, discusses the application of data warehouse, OLAP, and data mining technology in marketing decision support systems, and designs a marketing decision support system based on data mining technology. The system uses a BP neural network to conduct data mining marketing forecasting. A three-layer network model for marketing prediction is established, with sales time, product price, and customer purchasing power as network inputs and output as the sales volume of a certain type of product in different locations. The test results show that the average absolute percentage error of this method is 15.13%, and the prediction accuracy is high. Research shows that with the continuous development of data mining technology, the system cannot only help users conduct scientific and reasonable marketing decision-making analyses, making the marketing decision-making process more scientific and reasonable, but also can bring new ideas to enterprise decision-makers, promoting the continuous improvement and progress of the system.
Summary
The marketing decision-making process is a market-oriented management decision making process that involves product decision-making, price decision-making, proposal decision-making, and other factors. The marketing decision support system based on a data warehouse designed in this paper can effectively support management decisions in this complex process. The system uses a BP neural network to conduct data mining marketing forecasting. A three-layer network model for marketing prediction is established, with sales time, product price, and customer purchasing power as network inputs and output as the sales volume of a certain type of product in different locations. The test results show that the average absolute percentage error of this method is 15.13%, and the prediction accuracy is high. Marketing decision support systems based on data mining technology can effectively discover marketing knowledge hidden in data, and better meet various decision-making needs in marketing. As the establishment of a marketing decision data warehouse is also a continuous improvement process, it is necessary to study more marketing decision models and data mining algorithms that conform to marketing characteristics. In addition, the real-time research of marketing decision support systems needs to be strengthened
The use of information and communication technologies is the key to improving the efficiency of higher education institutions.
Kyiv, 2005
Abstract
Information and telecommunication technologies are confidently included in all spheres of human activity. The introduction of information technology is taking place in almost all areas, but the most acute solution to this issue requires the education system, in particular the organization of school management. The dynamics of development of an educational institution depends on the quality of construction of an integrated information automated management system of higher education institutions. The problem of informatization is the main issue around which the whole system of higher education is built. Solving this problem allows to solve the orders of the information society, to train specialists who are able to apply information technology at a modern level in professional activities, in everyday life. It is difficult to imagine a higher education institution that operates without the use of computers and information technology. Thus, the choice of topic is due to the need to study this issue in order to develop new approaches to the introduction of information and communication technologies in the educational process, its improvement and modernization in the general educational system, and on this basis to identify and disseminate positive experience higher education institution. In the current conditions of world socio-economic development, information support of the management process has become especially important, which consists in collecting and processing information necessary for making sound management decisions. The heads of higher education institutions are faced with the task of obtaining information, processing and generating and transmitting new derived information in the form of control influences. Management information system is a set of information, economic and mathematical methods and models, technical, software, other technological tools and specialists, designed to process information and make management decisions. The management information system should address the current challenges of strategic and tactical planning, accounting and operational management. Using the operational information obtained during the operation of the automated information system, the head of the higher education institution can plan and balance resources (material, financial and personnel), calculate and evaluate the results of management decisions, establish operational cost management of products (goods, services) , using resources.
Summary
The rapid development of network information technologies, in addition to a significant reduction in temporal and spatial barriers to the dissemination of information, has opened up new perspectives in the field of education. It can be argued that in the modern world there is a tendency to merge educational and information technologies and the formation on this basis of fundamentally new integrated learning technologies based, in particular, on Internet technologies. With the use of Internet technologies there is a possibility of unlimited and very cheap reproduction of educational information, fast and targeted delivery. At the same time, learning becomes interactive, the importance of independent work of students grows, the intensity of the educational process seriously increases. These advantages have led to the intensification of the work of teams of many universities on the introduction of information technology in the traditional model of the educational process. Thus, it can be argued about the formation of a self-configured system on the Internet, through which any user has the opportunity to maximize the effectiveness of finding suitable conditions and partners for their activities. So the global Internet has long been part of the lives of people who deal with information. The main subject of management of a higher education institution is information flows.
Communication Strategies of Brand Management and Online Marketing of Digital Products
Chatterjee, S. and Simonoff, J. 2020
Abstract
The issue of the modern development of the communication strategy of brand management and online marketing of digital products plays a key role in the commercial activities of an enterprise. The use of marketing campaign planning and design tools is of utmost importance for any enterprise. The use of such tools can improve the quality of the formation and development of the brand management communication strategy. The introduction of Internet marketing technologies is a factor in creating conditions for the sale of digital products Furthermore, the use of such technologies can help improve the positioning of the company’s brand in the chosen market. Modern technologies of SEO, email marketing, and targeted advertising include conducting marketing research to determine the key principles of an advertising campaign. Among them, it will be advisable to use certain digital marketing tools, identify the target audience, and characterize competitors. Such steps can improve the quality of the development of communication strategies for brand management and Internet marketing, and contribute to successful financial performance. The use of financial resources for digital marketing should be balanced and applied to the principles of rational distribution. We are currently witnessing rapid technological development and dynamic aspects of the marketing environment. An important area of the article is the study of the theoretical foundations of the communication strategy, as well as its division into structural elements that meet the commercial goals of the enterprise’s marketing strategy. Sufficient attention is paid to the implementation and use of modern digital tools aimed at improving the communication strategy of brand management and Internet marketing of digital products The results of the study indicate that further analytical assessments of the quality of the brand management communication strategy should be carried out based on an analysis of the qualitative means of using and forming digital marketing tools. Improvement of the quality of advertising policy will be based on the principles of implementation of digital tools and their financing policy. A wide range of Internet technologies can be used to improve the positioning of digital products given improving the quality of brand management.
Summary
Hence, it can be concluded that the communication strategy of brand management and online marketing of digital products involves the use of digital marketing tools that are implemented in the information environment to conduct sales and build one’s brand. Such a complex task can be accomplished if there is a clear division of the qualities of the communication strategy and its application following the ultimate goal of the enterprise. Moreover, the introduction of such tools will serve as an important factor in promoting the quality of the company’s digital policy.
The acceptance of a smartphone application for disaster: technology acceptance model approach
Silva B N, Khan M, and Han K 2018 et al
Abstract
A smart city can be defined as a city that offers a better quality of life and public services by connecting economic, social, and other sectors within a city through the utilization of information and communication technology (ICT) and other related technologies . Smart city has become a popular concept of urban development since rapid development and extensive applications of ICT in recent decades. ICT utilization can be seen as an effective and efficient method to overcome city problems due to population growth, rapid urbanization, and space limitation. Giffinger et al. identified six dimensions of a smart city including smart people, smart environment, smart governance, smart economy, smart mobility and smart living . When launching a program to create 100 smart cities in 2017, The Ministry of Communication and Informatics set 6 dimensions of smart city as a smart city framework in Indonesia. The Ministry adopted the smart city framework proposed by Giffinger et al. and modified the dimensions by changing one of the dimensions from smart mobility to smart branding. Pati, a regency in Central Java Province, was selected as one participant of the 100 smart cities program from The Ministry of Communication and Informatics. One of the smart city implementations in Pati was the launching of sistem informasi dini bencana (SIDINA) application (app). SIDINA is a smartphone-based disaster application that can be used by the public to report real-time information related to a certain disaster (natural or man-made) situation to the city government directly. The ease of using mobile apps like SIDINA encouraged smartphone users to use it rather than using mobile web . Using their smartphone enabled them to behave like a sensor that provides emergency information However, SIDINA had many weaknesses since it was a newly developed and low-cost application. The respondents faced several technical difficulties in using the application. Initially, respondents did not find problems identifying SIDINA app from Goggle Play store or Pati smart city website, then download and install it. The first problem occurred when respondents carried out a registration step. Due to technical problems, respondents had to try several times to register and even, it needed more than one day. Even though the registration step should be processed automatically, in many cases the application was unable to respond automatically regarding registration requests from users and it needed assistance from the administrator. The second problem during the registration step was that the request had to be verified manually by the administrator. Because of that, researchers must call the administrator to speed up the registration process. However, the assistance was only available in working hours during weekdays. Since users were able to register then the next steps were easy. SIDINA was a simple app to operate and the instructions were easy to be understood. In addition, SIDINA provided a feature enabling public to monitor the progress of their report.
Summary
This study concluded that perceived usefulness and perceived ease of use had a significant effect on the intention to use the SIDINA app. The variables (PEU, PU and IU) correlated each other with different degrees of correlation. Since the intention of use was shaped by both variables (PU and PEU), PU was probably the main driver of intention to use while PEU was the secondary one. This study showed that the app was not easy to operate even though the benefits of using it were perceived by respondents. The SIDINA app developer should pay serious intention to improve the app and ensure the app becoming user-friendly. The app developer can enrich the features of SIDINA to increase the benefit of using the app and finally, it will positively affect the users’ acceptance and satisfaction. In addition, the dissemination and promotion should be carried by the local government to ensure the public recognizing the app in particular the benefits of using it.
The use of Big Data Analytics in healthcare
Batko and Ślęzak et al 06 january 2002
Abstract
The introduction of Big Data Analytics (BDA) in healthcare will allow to use new technologies both in treatment of patients and health management. The paper aims at analyzing the possibilities of using Big Data Analytics in healthcare. The research is based on a critical analysis of the literature, as well as the presentation of selected results of direct research on the use of Big Data Analytics in medical facilities. The direct research was carried out based on research questionnaire and conducted on a sample of 217 medical facilities in Poland. Literature studies have shown that the use of Big Data Analytics can bring many benefits to medical facilities, while direct research has shown that medical facilities in Poland are moving towards data-based healthcare because they use structured and unstructured data, reach for analytics in the administrative, business and clinical area. The research positively confirmed that medical facilities are working on both structural data and unstructured data. The following kinds and sources of data can be distinguished: from databases, transaction data, unstructured content of emails and documents, data from devices and sensors. However, the use of data from social media is lower as in their activity they reach for analytics, not only in the administrative and business but also in the clinical area. It clearly shows that the decisions made in medical facilities are highly data-driven. The results of the study Confirm what has been analyzed in the literature that medical facilities are moving towards data-based healthcare, together with its benefits.
Summary
The quantitative analysis of the research carried out and presented in this article made it possible to determine whether medical facilities in Poland use Big Data Analytics and if so, in which areas. Tanks to the results obtained it was possible to formulate the following conclusions. Medical facilities are working on both structured and unstructured data, which comes from databases, transactions, unstructured content of emails and documents, devices and sensors. According to analytics, they reach for analytics in the administrative and business, as well as in the clinical area. It clearly showed that the decisions made are largely data-driven. The results of the study confirm what has been analyzed in the literature. Medical facilities are moving towards data-based healthcare and its benefits. In conclusion, Big Data Analytics has the potential for positive impact and global implications in healthcare. Future research on the use of Big Data in medical facilities will concern the definition of strategies adopted by medical facilities to promote and implement such solutions, as well as the benefits they gain from the use of Big Data analysis and how the perspectives in this area are seen.
Business Intelligence (BI) in Firm Performance: Role of Big Data Analytics and Blockchain Technology
Agarwal, Ritu, and Vasant Dhar.et al 2014
Abstract
The analysis of the causes or drivers of the adoption of big data analytics and blockchain and their subsequent influence on firm performance has become a significant need as a direct result of the rapidly expanding popularity of business intelligence. The purpose of this research is to present a model that investigates the direct and indirect influence of business intelligence on firm performance through the mediating roles of the adoption of big data analytics and blockchain. The analysis is based on data collected from a representative sample of 387 employees from 12 Information technology (IT) firms operating in Croatia. The study investigates these connections using a structural equation modeling. The findings showed that business intelligence has a direct and significant influence on firm performance. In addition, business intelligence significantly and positively influenced the adoption of big data analytics and blockchain and, in turn, firm performance. Additionally, the adoption of big data analytics and blockchain technology signified and positively mediated the relationship between business intelligence and firm performance. Both the mediations were partial. Finally, the study also provides managerial implications, limitations and future directions According to the theory of signaling, an agent can minimize the information gap between themselves and their principal by sending a signal or communicating confidential information to the principal (Grover et al. 2018). The primary, who is typically portrayed by the shareholders of a firm, may view the signal as one that increases value, which could result in an increase in both the stock price (due to the shareholders’ increased buying activity) and the value of the business. With big data and blockchain investments in technologies, techniques, skills and governance viewed as the leading innovators in social and media discussion, a company can gain significant effects via the signals created through these investment opportunities and other business intelligence initiatives (Wang 2010). Additionally, herd behavior, which refers to the practice of following the lead of the mob, is another hypothesis that underpins symbolic value (Grover et al. 2018).
Summary
This study conducted research in Croatia by targeting 12 IT firms. The study used an online survey questionnaire to collect the data from the management and employees of these IT firms. The study applied a SEM technique to analyze the relationship between business intelligence and firm performance in the presence of the adoption of big data analytics and blockchain technology. The study uploaded the survey questionnaire on social media platforms and gathered data from 387 top managerial officers. The study found the results that business intelligence directly and significantly enhanced firm performance Economies 2023, 11, 99 14 of 19 of the Croatian IT firms.
Conclusion
Technology and data analytics are closely intertwined, revolutionizing various aspects of our lives:
- *Data-Driven Insights:* Technology enables the collection and analysis of vast amounts of data, providing valuable insights that drive decision-making in businesses, healthcare, and more.
- *Automation and Efficiency:* Through automation and AI, technology streamlines processes, reducing human intervention, cutting costs, and enhancing efficiency in industries ranging from manufacturing to customer service.
- *Personalization:* Data analytics facilitates personalized experiences in fields like e-commerce, advertising, and healthcare, tailoring products and services to individual preferences.
- *Predictive Capabilities:* Predictive analytics harness historical data to forecast trends and behaviors, assisting organizations in making informed choices and mitigating risks.
- *Challenges:* The increased reliance on data raises concerns about privacy, security, and ethical use, necessitating regulations and responsible practices to protect individuals and their information.
- *Continuous Advancement:* Technology and data analytics are ever-evolving, promising new tools, techniques, and applications that will shape the future, making them a fundamental part of our evolving digital world.
In conclusion, technology and data analytics have a profound impact on our world, offering vast opportunities for innovation, efficiency, and personalization. However, they also come with challenges that require careful management and regulation to ensure responsible and ethical use. summary, the integration of technology and data analytics has reshaped industries and our daily lives, promoting data-driven decision-making, efficiency, and innovation. However, it also necessitates careful consideration of ethical, privacy, and security concerns. Embracing these advancements while addressing the associated challenges will be pivotal for the future.
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