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Format: 75 pages : , illustrations ; , 21 × 29.7 cm.

Content: AI-GENERATED ABSTRACT: Abstract Various analyses have confirmed that the concept of “being agile” has grown considerably with increasing digitalization. During times of rapid and uncertain events like the COVID-19 pandemic, agility is an efficient methodology that helps keep a company “flexible”, and, at the same time, resilient. Companies, therefore, are more prepared for possible spontaneous changes that come their way, both internally and externally. Moreover, “New Work”—the approach and concept—enables growth in organizational agility by offering flexible choices for a workforce with elements of self-organization and greater autonomy. Not every company that calls itself “agile” is alike in its approach to agility. Multiple factors, such as the techniques in individual teams or individuals, play a role. Different frameworks—like “Scrum” or “Kanban”—need to be implemented so that the company is ready to become adaptable. Furthermore, some companies appear to be “agile”, but this is a myth and not really true; it is propagated simply because it is better for the companies’ reputation. The aim of this research is to uncover meanings and detect the importance of agility in companies, which anticipates, in particular, flexibility, adaptability, and speed. Agility is also described as a contributor to better development and success along with increasing digitalization, even as a necessity when changes occur, viz. unexpected events like the coronavirus crisis. Advanced technology in terms of, for instance, Artificial Intelligence (AI), contributes to problem-solving and the assistance of teams. Related to this topic, “New Work” has been an important and essential development for years, but has acquired even more significance on account of the coronavirus pandemic. This is associated, among other things, with the leadership of the top management and the corporate culture, values, and work practices of the employees, and, hence, offers more “freedom” and opportunities. To provide a practical case study, the focus in the relevant section in this thesis is on the digital data-driven company ImmoScout24, an online marketplace that is run as an operating online platform. Agility in the company is thereby measured and identified with the help of self-observation, interviews, and a company survey that is distributed among all its employees. Keywords: Business agility, Digital Transformation, COVID-19, New Work, Scrum, Kanban, Project Management

Note: DISSERTATION NOTE: Master of Business Administration thesis, Berlin International University of Applied Sciences, 2022. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents Introduction................................................................................1 Main Problem Statement........................................................1 Need and Justification for the Study..........................................1 Research Aim.....................................................................2 Research Questions..............................................................2 Structure of the Thesis...........................................................3 Literature Review.........................................................................3 Definitions of Business Agility..................................................3 Business Agility—Digitalization and COVID-19..............................5 Business Agility and New Work...............................................9 Limitations of current studies...................................................10 Conceptual Framework.........................................................11 Method....................................................................................12 Results.....................................................................................13 Business Agility—General Analysis, Identification, and Evaluation....13 Business Agility—Influence of Digitalization and COVID-19...........20 Digitalization...........................................................20 COVID-19..............................................................21 Business Agility—Relationship to New Work..............................23 Business Agility at ImmoScout24............................................25 Interviews...............................................................27 Survey....................................................................30 Discussion.................................................................................35 Business Agility—Digitalization, COVID-19 & New Work.............35 ImmoScout24....................................................................38 Conclusion................................................................................42 References................................................................................45 Appendices...............................................................................54 Appendix A—Survey Questions/Statements & Results...................54 Appendix B—Domains of Business Agility................................73 Appendix C—Agile Transformation.........................................74 Appendix D—2022 Global Business Agility Survey IS24................75

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Format: 38 pages : , illustrations ; , 21.59 × 27.94 cm.

Content: AUTHOR-SUPPLIED ABSTRACT: Abstract Companies are increasingly interested in finding ways to attract and retain talent, which, in today’s competitive landscape, is the safest bet that can be made to reach a competitive advantage. However, the increasing amount of data available and the changing needs within the workforce make the traditional approaches to Talent Acquisition (TA) outdated. To address the current challenges of TA, specialists should leverage Data Analytics to gain valuable insights. Based on existing literature reviews and the specific case study of Zalando, the purpose of this research is to understand what the current main challenges of TA are and to analyze how Zalando approaches these challenges in terms of Data Analytics. Through interviews with Zalando’s Talent Acquisition experts, results indicate that, while TA specialists are progressively intrigued in implementing these solutions, there are still many deficiencies in the company as a whole that do not allow for the full integration of Data Analytics. Zalando is not yet at a level of analytics maturity that allows Talent Acquisition to completely leverage Data Analytics. However, solving operational challenges first can lead to the development of models of advanced Data Analytics that could differentiate Zalando from the competition. Keywords: Data Analytics, Talent Acquisition, talent, challenges, data, Zalando

Note: DISSERTATION NOTE: Bachelor of Arts thesis in Business Administration - International Management & Marketing, Berlin International University of Applied Sciences, 2022. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents Abstract Introduction 2. Literature Review 2.1 Data Science & Analytics 2.2 Talent Acquisition 2.2.1 Challenges of Talent Acquisition 2.4 Talent Analytics 2.5 Zalando 3. Methodology 3.1 Research Purpose 3.2 Research Approach 3.3 Research Design 3.4 Data Collection 3.4.1 The Interviews 3.5 Data Analysis 4. Results and Analysis 4.1 Theme 1: Process 4.1.1 Lead Time 4.1.2 Hiring Bottlenecks 4.1.3 Candidate Sources 4.1.4 Diversity 4.1.5 Attrition 4.2 Theme 2: People 4.2.1 Biases 4.2.2 Support 4.2.3 Interviewer Accuracy 4.3 Theme 3: Business 4.3.1 Future Employment Needs 4.3.2 Alignment 4.3.3 Costs 5. Discussion 6. Conclusion References Appendices

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Format: 129 pages : , illustrations ; , 21 × 29.7 cm.

Content: AUTHOR-SUPPLIED ABSTRACT: Abstract: This research paper focuses on identifying customer needs in the Dutch sports nutrition market and exploring the factors that influence customer purchasing decisions. It also examines how brands satisfy customer wants and needs by using a customer journey. The study centers around NXT Level Sports Nutrition, a Dutch sports nutrition brand, as an example of how brands can fulfill customer wants and needs. The research begins with a company and market overview, followed by a literature review on branding concepts, customer wants and needs, and the customer decision-making process. The marketing mix (4Ps) and customer journey are utilized to analyze the results and provide future recommendations for NXT Level Sports Nutrition. The research methodology includes desk research through literature reviews, internal and external analyses, and field research conducted in the form of interviews. The findings indicate that (potential) customers require educational content about sports nutrition before considering a purchase. The results also highlight the impact of branding on (potential) customers, particularly during the consideration phase. The ultimate purchasing decision is significantly influenced by product, price, place, and promotion. Understanding customers' wants and needs enables brands to personalize marketing strategies and cater to specific target audiences. Keywords: customer needs, sports nutrition market, customer purchasing decisions, branding, customer journey, NXT Level Sports Nutrition, marketing mix, 4Ps, target audiences, literature review, customer decision-making process, desk research, field research, interviews.

Note: DISSERTATION NOTE: Bachelor of Arts thesis in Business Administration - International Management & Marketing, Berlin International University of Applied Sciences, 2022. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents Table of Figures iii Abstract iv 1. Introduction 1.1. Background 1.1.1. Company overview 1.1.2. Market overview 1.2. Problem statement 1.3. Research aims 1.4. Research objectives 1.5. Theoretical Framework 2. Literature Review 2.1. Sports nutrition 2.2. The concept of branding 2.2.1. Brand identity 2.3. Customer wants and needs 2.4. Customer decision-making process 3. Methodology 3.1. The marketing mix 3.2. Customer journey 4. Results 4.1. Desk research 4.2. Field research 4.3. Research design 5. Results 5.1. Background 5.1.1. Company overview 5.1.2. Market overview 5.2. Problem statement 5.3. Research aims 5.4. Research objectives 5.5. Desk research 5.6. Internal analysis 5.7. External analysis 5.7.1. Trends and developments: sports nutrition 5.7.2. Competitor analysis 5.7.3. Competitors general 4Ps 5.8. Results field research 5.8.1. Interviews 6. Discussion and Conclusion 6.1. Discussion of results 6.2. Conclusion 6.3. Limitations 6.4. Future suggestions References 46 Appendix A 52 Appendix B 53 Appendix C 55 Appendix D 57 Appendix E 59 Appendix F 60 Appendix G 61

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Format: 92 pages : , illustrations ; , 21 × 29.7 cm.

Content: AUTHOR-SUPPLIED ABSTRACT: Abstract: As a phenomenon, inflation has recently been on the rise across the globe. In the cases of some developed countries, inflation levels are reaching levels not seen in at least the previous two decades. According to Reinhart & Von Luncker (2022), across the globe, both in developing and developed countries, the world is faced with inflation above 5% on an annualized basis. By reviewing past periods of inflation throughout history, the paper intends to isolate key causes, as well as provide potential solutions and suggestions to help tackle the problem. The research will focus on both qualitative and quantitative factors that influence inflation. The quantitative part will include a time-series analysis of CPI data, interest rates, and money supply, among other variables, to find correlations that precede inflation. The qualitative part will examine geopolitical realities, psychology, and government policies. Additionally, the paper will explore the difference in perception of inflation among various economic schools and how they have influenced monetary policy. Although the paper will include examples of hyperinflation and information about inflation in the early-modern and modern periods, the main focus will be on the time period from 1960-2022, primarily pertaining to the G20 countries. The analysis will rely on data obtained from the OECD, IMF, and World Bank databases, as well as relevant central banks. The goal of the research is to provide policy makers today with useful suggestions and methods to combat inflation by identifying common trends and patterns among the analyzed examples. Two primary aspects will be considered: policy errors and external factors leading up to inflationary periods, and the responses to inflation by economic policy makers and governments, assessing their effectiveness in suppressing the phenomenon. Keywords: inflation, developed countries, causes, solutions, qualitative factors, quantitative factors, time-series analysis, CPI data, interest rates, money supply, geopolitical realities, psychology, government policies, economic schools, monetary policy, hyperinflation, G20 countries, policy makers.

Note: DISSERTATION NOTE: Master of Business Administration thesis, Berlin International University of Applied Sciences, 2022. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents Introduction .................................................................................................................. 1 Section I 1. Defining Inflation ................................................................................................. 2 2. Hyperinflations in the Modern Era ........................................................................ 9 Section II Review of Existing Literature .................................................................................. 12 Section III Methodology ......................................................................................................... 16 Results ................................................................................................................... 20 Section IV Current Reality .................................................................................................... 45 Causes of Today's Inflation ................................................................................... 46 Section V Discussion ........................................................................................................... 51 Conclusion ................................................................................................................. 55 Appendix ................................................................................................................... 56 References ................................................................................................................. 72 Figures ...................................................................................................................... 90 Table of Contents

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Format: 64 pages : , illustrations ; , 21 × 29.7 cm.

Content: AUTHOR-SUPPLIED ABSTRACT: Abstract Digital transformation and the subsequent smart product and services have funda- mentally altered the hospitality industry, putting enormous pressure on traditional services provided by hotel operators, adding more value to the guest experience, and improving firms revenue, also impacting numerous markets, particularly during the coronavirus pandemic when automation services were critical to ensuring guest safety and improving remote work. This study aims to investigate the influence of digital transformation on the hotel sector and preview various techniques and fea- tures employed by revenue management and hotel practitioners to optimize revenue and expand hotel businesses. The study uses a qualitative method, eight interviews have been conducted with hotel revenue managers and specialists in the hospitality sector. Based on this data, an analysis was conducted to examine the influence of digitalization on the firm's value generation and the cost benefits of this transfor- mation. The findings of this study show that digital transformation positively influ- ences the hotel business on several fronts, including profitability maximization and guest satisfaction. These results resonate with the analysis of the “NUMA” case study. The company has recognized a 500% increase in revenue during the corona- virus pandemic. The results of this research revealed that it is incredibly vital for hotel operators to change from traditional to innovative strategies and services, and to invest more in implementing digitalization within revenue management frame- work and all related systems and services to develop their businesses. Keywords: Tourism, Hospitality, Revenue Management, Digitalization, Innova- tion, Technology

Note: DISSERTATION NOTE: Master of Business Administration thesis, Berlin International University of Applied Sciences, 2022. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents II. LIST OF ABBREVIATIONS ..................................................................... 3 III. LIST OF TABLES ....................................................................................... 4 IV. LIST OF FIGURES ................................................................................. 4 V. ABSTRACT .................................................................................................... 5 CHAPTER 1. INTRODUCTION ......................................................................... 6 CHAPTER 2. LITERATURE REVIEW ............................................................ 9 2.1. METHOD .................................................................................................... 9 2.2. DIGITAL TRANSFORMATION IN THE TOURISM INDUSTRY .......................... 10 2.3. DIGITAL TRANSFORMATION IN REVENUE MANAGEMENT.......................... 14 2.4. MAJOR EFFECTS OF DIGITAL TRANSFORMATION IN THE HOSPITALITY INDUSTRY & REVENUE MANAGEMENT .......................................................... 18 CHAPTER 3. METHODOLOGY ..................................................................... 26 3.1. PRIMARY AND SECONDARY RESEARCH ....................................................... 26 3.2. DATA COLLECTION .................................................................................. 27 3.3. DATA ANALYSIS ...................................................................................... 29 3.4. CASE STUDY ............................................................................................ 29 3.5. QUALITATIVE APPROACH ......................................................................... 26 CHAPTER 4. RESULTS AND DISCUSSION ................................................. 31 4.1. RESULTS .................................................................................................. 31 4.2. DISCUSSION ............................................................................................. 40 4.3. DIGITAL TRANSFORMATION IN THE HOSPITALITY INDUSTRY IS THE FOCUS OF OPERATION AND GUEST MANAGEMENT .................................................. 31 CHAPTER 5. CASE STUDY "NUMA" ............................................................ 48 5.1. OVERVIEW ............................................................................................... 48 5.2. ANALYSIS ................................................................................................ 50 CHAPTER 6. CONCLUSION ........................................................................... 54 VI. REFERENCES ......................................................................................... 56

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Format: 81 pages : , illustrations ; , 21 × 29.7 cm.

Content: AUTHOR-SUPPLIED ABSTRACT: Abstract: This thesis utilizes the Value Proposition Canvas by Osterwalder et al. (2014) to examine which benefits a blockchain-based crowdfunding (CF) solution like Corite CO will offer independent musicians compared to conventional CF solutions. Interviews are conducted with current crowd funders in the music industry, and a thematic content analysis of the interviews is conducted to establish a customer profile. Furthermore, Corite CO’s value map is created through recent literature on conventional and blockchain-based CF, and the platform’s whitepaper. The study argues the platforms’ benefits by identifying the fit between Corite CO’s blockchain-based CF model and the crowdfunding musician customer profile. Such benefits include enhanced marketing, increased funding, and building artist/fan relationships. Furthermore, conventional crowd funders’ preconditions to participate in such a CF solution are questioned, which interview results suggest are generally insufficient. Concepts such as equity- and reward-based CF, smart contracts, tokenization of asset rights, and royalty splits are discussed. Keywords: Value Proposition Canvas, blockchain-based crowdfunding, Corite CO, independent musicians, conventional crowdfunding, interviews, thematic content analysis, customer profile, value map, enhanced marketing, increased funding, artist/fan relationships, preconditions, equity-based crowdfunding, reward-based crowdfunding, smart contracts, tokenization, asset rights, royalty splits.

Note: DISSERTATION NOTE: Bachelor of Arts thesis in Business Administration - International Management & Marketing, Berlin International University of Applied Sciences, 2022. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents Glossary:.............................................................................................................................vi 1. Introduction ...............................................................................................................7 2. Literature Review ....................................................................................................10 2.1 Conventional crowdfunding in the music industry............................................10 History of Crowdfunding.....................................................................................10 How crowdfunding benefits independent music creators....................................10 Four crowdfunding types.....................................................................................11 Backers’ Incentives to fund .................................................................................11 Two crowdfunding Models: ................................................................................12 Type of payoff related to risk ..............................................................................12 2.1.1 Backers’ incentives in reward-based crowdfunding.......................................13 2.1.2 Backers’ incentives in equity-based crowdfunding........................................13 2.2 Blockchain technology’s contributions to crowdfunding..................................15 Blockchain Technology .......................................................................................15 Smart Contracts ...................................................................................................15 Tokenization of assets – Non-Fungible Tokens (NFTs) .....................................15 Decentralized Finance (DeFi)..............................................................................16 Decentralized Autonomous Organization (DAO) ...............................................16 The BNB Chain ...................................................................................................17 2.2.1 Reward-based Crowdfunding on the blockchain............................................17 2.2.2 Equity-based Crowdfunding on the blockchain .............................................17 2.3 Corite CO’s application of blockchain-based crowdfunding ............................18 Introducing Blockchain-based crowdfunding – Adding ‘CO’ to Corite .............18 Equity-based crowdfunding on Corite CO ..........................................................18 Reward-based crowdfunding on Corite CO ........................................................19 2.4 Theoretical frameworks.....................................................................................19 The Value Proposition Canvas ............................................................................19 3. Methodology............................................................................................................21 3.1 Methodological design ......................................................................................21 3.2 Structured and Semi-Structured Interviews.......................................................22 3.3 Interview Analysis: Thematic Content Analysis ...............................................24 4. Results and Discussion ............................................................................................25 4.1 Thematic Content Analysis ...............................................................................25 4.2 How Corite Co’s blockchain-based crowdfunding solutions benefit independent crowdfunding music creators...................................................................................26 4.2.1 The independent crowdfunding music creator customer profile ................26 4.2.2 Corite CO’s value map & fit with the independent crowdfunding music creator customer profile.......................................................................................31 4.3 Crowdfunding musicians’ preconditions to partake in blockchain-based crowdfunding...........................................................................................................32 4.4 Discussion..........................................................................................................32 5. Conclusion...............................................................................................................34 Research question 1: How does Corite CO’s blockchain-based crowdfunding model benefit independent music creators compared to conventional crowdfunding platforms? ................................................................................................................34 Research question 2: Do current crowdfunding musicians have sufficient preconditions to partake in a blockchain-based crowdfunding platform like Corite CO?..........................................................................................................................34 6. References ...............................................................................................................36 7. Appendices ..............................................................................................................43 Appendix 1: Thesis Declaration Page .....................................................................43 Appendix 2: Corite’s equity-based crowdfunding homepage .................................44 Appendix 3: Return/Risk Intensity vs. Type of Payoff ...........................................45 Appendix 4: Interview Transcripts ..........................................................................46

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Content: AUTHOR-SUPPLIED ABSTRACT: Abstract: This paper is an explanation of the new technologies and cryptocurrencies such as Bitcoin and Ethereum. It gives an in-depth explanation of what blockchain is, covering its characteristics, main challenges, and criticisms. It delves into the Non-Fungible token space, explaining the main characteristics and challenges in the retail fashion industry and also analyzing a study case from Nike, Inc. where they acquired the studio/team called RTFKT (pronounced “artifact”). It finishes the study with an analysis of the NFT industry utilizing Porter's Five Forces to understand the competitiveness of the industry and a VRIO analysis to understand if RTFKT can create a competitive advantage for Nike. Keywords: new technologies, cryptocurrencies, Bitcoin, Ethereum, blockchain, characteristics, challenges, criticisms, Non-Fungible token, retail fashion industry, study case, Nike, Inc., RTFKT, Porter's Five Forces, VRIO analysis, competitive advantage

Note: DISSERTATION NOTE: Bachelor of Arts thesis in Data Science & Business, Berlin International University of Applied Sciences, 2022. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents 1. Introduction 1.1. The motivation for the study 1.2 Research question 2. Methodology (Research approach) 3. Literature review 3.2 Blockchain and its essential characteristics 3.3 Blockchain and its main challenges 3.4 Proof-of-Work and Proof-of-Stake: a brief explanation 3.5 What is bitcoin, and how does it work? 3.6 What is Ethereum, and how does it work? 3.7 Non-Fungible Tokens and main characteristics 3.8 How the retail and retail luxury industry can use Non-Fungible tokens 3.9 Blockchain and Non-fungible tokens criticism and challenges 4. Nike acquiring RTFKT (Case Study) 5. Porter’s five forces 5.1 Porter’s Five Forces applied to the NFT industry 6. VRIO Model 7. Limitations of the study 8. Discussion 9. Results 10. Conclusion References Appendices: - Declaration Page

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Format: 113 pages : , illustrations ; , 21.59 × 27.94 cm.

Content: AUTHOR-SUPPLIED ABSTRACT: Abstract: Since the business environment experiences constant change, integrating Environmental Social Governance (ESG) into a business’s strategy presents a potential opportunity for a business to become more progressive, resilient, and sustainable. To effectively integrate and implement an ESG strategy/initiatives into their business, companies are increasingly turning to digital technologies. With a focus on the retail industry, this thesis investigates the influence of digital transformation on business's ESG initiatives. This will be accomplished by performing a framework analysis on ESG initiatives from 10 representative businesses in the retail industry. This examination will help gain insight into how digital technology influences ESG initiatives in businesses. The research finds that digital technology influences ESG initiatives by enhancing or creating value. These findings provide insights to develop better approaches to implement ESG initiatives, accelerate and encourage businesses to adopt ESG initiatives, decide the type of ESG initiative and method businesses pursue, and potentially formulate ESG strategy. Keywords: business environment, Environmental Social Governance (ESG), digital transformation, retail industry, framework analysis, digital technology, ESG initiatives, value creation, sustainability.

Note: DISSERTATION NOTE: Master of Business Administration thesis, Berlin International University of Applied Sciences, 2022. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents Table of Figures ................................................................................................................. iii Abstract ............................................................................................................................. v Introduction ...................................................................................................................... 1 Research Question ........................................................................................................... 4 Literature Review ............................................................................................................ 5 ESG Overview .............................................................................................................. 5 ESG Drivers .................................................................................................................. 7 Customer Trends .......................................................................................................... 7 UN Sustainable Development Goals ............................................................................ 8 Innovation ................................................................................................................... 10 ESG Risk & Benefits: ................................................................................................ 11 Benefit .................................................................................................................... 11 Risk ....................................................................................................................... 13 Shareholder and Stakeholder Theory ........................................................................ 15 Digital Transformation ............................................................................................... 17 Methodology .................................................................................................................. 20 Framework Analysis .................................................................................................. 21 Result and Analysis ....................................................................................................... 22 Data Familiarization ................................................................................................. 22 Ahold Delhaize ......................................................................................................... 23 Amazon .................................................................................................................... 24 Apple ....................................................................................................................... 26 Best Buy .................................................................................................................. 27 Carrefour ................................................................................................................. 28 Costco Wholesale ..................................................................................................... 29 The Home Depot ...................................................................................................... 30 Metro AG ................................................................................................................ 32 Walgreens Boots Alliance (WBA) ........................................................................... 33 Walmart .................................................................................................................. 34 Framework Identification ........................................................................................ 36 Digital Transformation Framework .......................................................................... 36 Business Model Canvas .......................................................................................... 38 Indexing .................................................................................................................. 40 Customer ................................................................................................................... 40 Competition ............................................................................................................... 41 Data .......................................................................................................................... 42 Innovation ................................................................................................................ 43 Value ........................................................................................................................ 44 Charting ...................................................................................................................... 46 Mapping and Interpretation ........................................................................................ 47 CC-DIV Framework Analysis Result .......................................................................... 47 BMC Framework Analysis Results ............................................................................. 53 Discussion ................................................................................................................... 55 Notes on the Data Collected ...................................................................................... 57 Conclusion ................................................................................................................... 58 Reference .................................................................................................................... 60 Appendix ...................................................................................................................... 68 Appendix 2 ................................................................................................................... 72 Appendix 3 ................................................................................................................... 74

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Format: 36 pages : , illustrations ; , 21 × 29.7 cm.

Content: AUTHOR-SUPPLIED ABSTRACT: Abstract: E-governance was developed so that the government could directly interact with the citizens. As the nation's government, communicating with the citizens is an unavoidable duty. This can lead to better security and accuracy in the services, reduced corruption rates, better comfort, and higher transparency. Information Systems Management is regarded as an application of information technologies such that the major operations and functions of the public or private sectors can be managed. Previously, in the traditional systems, the organisations had to emphasise the management of the resources like employees, capital, raw materials and others. However, at present, one of the most important assets of the organisation is data. Global usage of the technologies has helped public and private organisations utilise the technologies to reach out to more people. The usage of the e-governance models have improved the processes considerably and have an immense impact on the operations of the government of the countries. However, it is not enough to address the issues which the countries face due to the utilisation of private information. The research explores how implementing information system management can help improve the effectiveness of the e-government models in Denmark. Denmark has been selected as a country for conducting the research as it is considered to be one of the most technologically sound countries making use of the technologies for the benefit of the people of the nation. The research developed with the help of Denmark as an example shall help in understanding how the implementation of the information system management processes shall improve the usage of the e-government models in other nations as well and how the same can be implemented for the improvement of the same. Keywords: e-governance, government, citizens, security, accuracy, services, corruption rates, comfort, transparency, Information Systems Management, public sectors, private sectors, resources, data, technologies, e-government models, operations, global usage, private information, implementation, Denmark, technologically sound countries, research, information system management, effectiveness, improvement.

Note: DISSERTATION NOTE: Bachelor of Arts thesis in Data Science & Business, Berlin International University of Applied Sciences, 2022. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents Executive Summary..............................................................................................i Chapter 1: Introduction...........................................................................................1 1.1 Background.................................................................................................1 1.2 Research Problem......................................................................................2 1.3 Research Aim, Objectives, and Research Question........................................3 Chapter 2: Research Methodology..........................................................................3 2.1 Research Philosophy...................................................................................4 2.2 Research Approach.....................................................................................4 2.3 Research Design........................................................................................5 2.4 Data Sources and Data Collection Method..................................................6 2.5 Data Analysis Technique.............................................................................6 2.6 Ethical Consideration..................................................................................7 Chapter 3: Literature Review...................................................................................7 3.1 E-Government Models................................................................................8 3.2 E-Government Models through Information Systems Management...............9 3.2.1 Layne and Lee E-Government Model.....................................................11 3.2.2 Public Sector Process Rebuilding (PPR) Model......................................12 3.2.3 The Manchester E-Government Maturity Model.....................................13 3.3 Advantages of the E-Government Models.................................................13 3.4 Disadvantages of the E-Government Models.............................................14 3.4.1 Budgetary Challenges............................................................................14 3.4.2 Infrastructure Challenges.....................................................................15 3.4.3 Organisational Challenges..................................................................15 3.5 Theoretical Underpinning..........................................................................16 3.5.1 Broadcasting Model..............................................................................16 3.5.2 Comparative Analysis Model.................................................................17 3.6 Literature Gap............................................................................................17 3.7 Summary..................................................................................................18 Chapter 4: Results and Discussion of the Data Collection......................................18 Chapter 5: Conclusion and Recommendations.......................................................21 5.1 Conclusion.................................................................................................21 5.2 Recommendation......................................................................................23 5.3 Research Limitations.................................................................................25 References..........................................................................................................26 Declaration Page..................................................................................................ix

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Format: 51 pages : , illustrations ; , 21 × 29.7 cm.

Content: AI-GENERATED ABSTRACT: Abstract: Context: User segmentation is an effective tool to understand your users’ needs and make data-driven decisions. With limited resources many startups have. Would user clustering with unsupervised machine learning models be effective? Objectives: The thesis consists of a literature review, two interviews, and data analysis. It evaluates how effective the different unsupervised models are in application to user segmentation in a mobile application. Methods: a convenience sample interview was conducted with the chief executives of a startup to get an understanding of primary goals and objectives. Data were analyzed with the application of dimension reduction (PCA, t-SNE, UMAP, correlation coefficient, variance threshold), clustering (K-Means, DBSCAN), and supervised models for predictive analysis (Random Forest, Lasso, Logistic Regression). Results: It was possible to identify 4 different clusters of users within the app with unique behavior. Conclusion: The application of PCA, K-Means, and Random Forest was the most effective for a highly dimensional dataset. This user segmentation was valuable, but not new to the chief executives to the company. Meaningful insights were drawn from data analysis. Keywords: user segmentation, unsupervised learning, machine learning, mobile application, PCA, K-Means clustering, Random Forest, data analysis, startups, user behavior clustering.

Note: DISSERTATION NOTE: Bachelor of Arts thesis in Digital Business & Management, Berlin International University of Applied Sciences, 2023. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents abstract..........................................................................................................2 introduction....................................................................................................3 literature Review..........................................................................................6 2.1 Non-machine Learning User Segmentation Techniques..................7 2.2 Supervised Versus Unsupervised Machine Learning.........................7 2.2.1 Supervised Learning................................................................8 2.2.2 Unsupervised Learning..............................................................8 2.3 Customer Segmentation With Machine Learning...........................12 2.4 User Segmentation in Social Media Platforms..............................13 2.4.1 Case of Pinterest.................................................................13 2.4.2 Case of Instagram.................................................................13 2.5 Methodological Considerations..............................................14 methodology...............................................................................................15 the Research Hypotheses.........................................................................15 Research Design.....................................................................................15 Literature Review...................................................................................16 Interview No1.........................................................................................16 Data Analysis........................................................................................17 Data Collection......................................................................................17 Data Cleaning and Dimension Reduction..........................................17 Clustering Algorithms...........................................................................20 Predictive Models................................................................................22 Interview 2............................................................................................22 results...........................................................................................................23 Evaluation of Interview No1...................................................................23 Data Analytics.......................................................................................24 Cluster Analysis...................................................................................25 Predictive Models................................................................................28 Evaluation of Interview No2.................................................................29 discussion....................................................................................................30 conclusion...................................................................................................33 references...................................................................................................35 appendix......................................................................................................40 Section A.............................................................................................40 Section B.............................................................................................49 appendix 2..................................................................................................50

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