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Abstract: Business simulation games have become popular in higher education and business environments. The paper aims to identify the primary research trends and topics of business simulation games research using a systematic and automated literature review with the motivation of research (learning driven and domain driven). Based on these findings, the future development of business simulation games research projected papers that research business simulation games were extracted from Scopus. Second, the research timeline, main publication venues and citation trends have been analysed. Third, the most frequent words, phrases, and topics were extracted using text mining. Results indicate that the research on business simulation games has stagnated, with the most cited papers published in the 2000s. There is a balance between learning-driven and domain driven-research, while technology-driven research is scarce, indicating that the technology used for business simulation games is mature. We project that the research on business simulation games needs to be directed in the area of new technologies that could improve communication with and among the users (virtual reality, augmented reality, simulation games) and technologies that could improve the reasoning and decision-making complexity in business simulation games (artificial intelligence).
Keywords: simulation games, digital education, knowledge management, business games
Published in DKUM: 02.08.2023; Views: 605; Downloads: 52
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Abstract: In the diploma thesis, we researched the process of implementing a business idea, mainly because we live in a rapidly changing digital world, where more and more individuals opt for entrepreneurship, yet many business ideas remain unrealized due to lack of knowledge about the implementation process. We prepared a business model for the development and implementation of our business idea, namely the establishment of a digital marketing agency where we will provide services related to support in digital marketing and IT solutions. In the first part of the thesis, we defined the development and generation of business ideas in more detail, presented the ways to assess business opportunities, defined the importance of a properly designed business model, presented the models for assessing the value of business ideas, defined the general importance of a business plan, presented different types of business structures and possible ways of obtaining financial resources when starting a new company. In the following, we analyzed modern methods of developing a new business referring to the lean start-up method which is currently considered an innovative approach to business development in the world of entrepreneurship. We then compared the lean start-up method with the traditional business planning approach, analyzed key arguments, and formed an opinion on an approach that is suitable for the implementation of our business idea. In the empirical part, we developed our business idea according to the "lean" canvas business model with the corresponding financial plan. With the help of this model, we tested the viability of our business idea. In each segment of the "lean" canvas business model, we wrote down in detail the factors that we obtained from the research. We found that the lean start-up method with associated financial plan is a suitable method for developing our business idea. The reason for this is that we will be operating in a global market where the competition is very high, which consequently makes our business idea time sensitive. We have also found that the financial plan used in the traditional approach should not be completely neglected, mainly because of the insight into costs, revenues, and possible opportunities for obtaining external funds. With the help of the mentioned method and the analysis of the financial side of our business idea, we found that our business idea will be profitable, and that the business idea can be realized with the set investment.
Keywords: business idea, business model, lean start-up methodology, digital marketing.
Published in DKUM: 30.11.2022; Views: 955; Downloads: 86
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Abstract: Reporting is present in every company. Whether it is small or big, it cannot be avoided. It plays a crucial role in the process and progress of business. The quality of reporting affects the development of the work environment and the company. Since business report is a document that contains business information, which supports the decisions about the future-oriented business decisions, it is very important for it to be designed in such a way that it contains the key information for the recipient and provides support for business decisions. The reporting process can take place horizontally upwards or downwards. Content and structure vary depending on the recipient of the report. We live in an age when our every step is accompanied by digitization, computerization, artificial intelligence, mass data, the Internet of Things, machine learning, and robotics. These changes have also affected the reporting process as well as its processes. The processes of data acquisition, processing and sharing have changed. Furthermore, the data quantity has increased, whereas the speed of the time in which to prepare the reports has decreased. We can have data without information, but we cannot have information without data. There is never enough time, especially nowadays when we are used to having everything at our fingertips. These are two conflicting factors – having more data and less time to prepare quality reports. The systems are developed to optimize the process, increase efficiency and quality and, what is nowadays most important, they have been created to obtain mass data in the shortest possible time. Therefore, it is important to adapt and implement software that can help achieve our daily tasks. We must know how to process huge amounts of real-time data and deliver the information they contain. It is crucial for companies to keep up with the environment and implement changes and innovations into their business process. A company is like a living organism for it must constantly evolve and grow. As soon as it stops growing and evolving, it can fail because it starts lagging and is therefore no longer competitive to others. To deliver faster feedback, companies need data of better quality. There are tools that can improve the business process, better facilitating the capacity of the human agents. The goal is to harness the employees’ full potential and knowledge for important tasks, such as analyzing, reviewing, and understanding data and acting upon them, invoking information technology to automate repetitive processes and facilitate better communication. The focus in this master’s thesis is on the reporting process in Group X. Group X is one of the world leaders in the automotive industry, a multinational corporation based in Canada with subsidiaries around the world. The complexity of the business reporting that is implemented for the Headquarters in Canada has to address the complexity of the multinational corporation to support the decision process. The aim of the thesis is to propose a reporting process for preparing and producing reports with a huge amount of data in a very time-efficient manner. We start by examining the existing processes and upon that, identifying the processes required for the reports to reach the final recipients. Our goal is to identify the toolset, which would increase efficiency, accuracy, credibility, and reduce errors in the fastest possible time. We investigate a short-term and a long-term solution. By a short-term solution, we mean a system, program, or a tool that can help us increase our potential by using digital resources, which are already existing in the organization. By a long-term solution, we mean a solution, which requires employment of specialized future tools in the field of reporting and in repetitive processes, which we can identify with current knowledge and expectations for development. This includes machine learning, robotic process automatization, artificial intelligence.
Keywords: Consolidated reporting, reporting process, robotic process automatization, business intelligence, artificial intelligence, machine learning, SharePoint, Big Data, digital transformation, electronic data interchange.
Published in DKUM: 01.09.2021; Views: 894; Downloads: 7
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