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Umfang: 35 pages : , illustrations ; , 21 × 29.7 cm.

Inhalt: AI-GENERATED ABSTRACT: Abstract: To remain viable in today's fast-changing world, organizations must be able to adapt to their environment, a concept that has been emphasized by leading organizational theorists (Duncan, 1972). Despite expressing positive intentions towards adopting circularity in plastic usage, most manufacturing companies still do not use recycled plastic (Khan, 2023). This inconsistency between intention and behavior can be attributed to a range of factors, as highlighted by van der Vegt and others (2022). Even though there is ample evidence showing that incorporating recycled plastic into manufacturing processes can enhance business performance, many companies are still hesitant to take this step (Khan, 2023). One critical factor that plays a significant role in managerial decision-making when it comes to recyclable plastic is uncertainty, which is an individual's perceived inability to predict something accurately (Milliken, 1987). Uncertainties related to regulatory environment, cost, supply chain issues, consumer preferences, and technology can create obstacles for firms looking to adopt sustainable practices. Therefore, it is crucial to identify and manage these uncertainties effectively to facilitate the adoption of recyclable plastics. This study analyses different types of uncertainties and managerial decision making processes that decision makers face. By recognising and managing unceirainties in the context of adoption of recycled plastic, firms can plan and analyze carefully to ensure that they can adopt recyclable plastics effectively and contribute to environmental sustainability. To achieve this, this review utilized a qualitative research method, analyzing existing studies, books, and reports on the topic to investigate different approaches to adapting recyclable plastics and uncertainty management in companies and identified factors like economic considerations, quality and technical barriers, lack of demand, regulatory and policy factors, cultural factors, systemic factors, organizational factors, and uncertainty. Future studies may delve deeper into the individual factors identified. Keywords: organizational adaptability, circularity, recycled plastic, sustainability, uncertainty management, managerial decision-making, regulatory environment, supply chain, consumer preferences, qualitative research

Anmerkung: DISSERTATION NOTE: Bachelor of Arts thesis in Digital Business and Management, Berlin International University of Applied Sciences, 2023. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents abstract...........................................................................iii introduction......................................................................1 methodology.....................................................................2 literature Review.................................................................3 Overview of Decision Making.................................................3 Decision Making Process.....................................................4 Risk Management...............................................................5 Risk Assessment Techniques..................................................6 Decision Making Under Uncertainty..........................................11 Decision Making Models........................................................12 Behavioural Aspects of Decision Making.....................................13 Ethical Considerations........................................................15 Recyclable Plastic Adoption..................................................16 Recycled Plastic Usage........................................................16 Factors Influencing Managerial Decision Making in Recyclable Plastic Adoption...17 findings..........................................................................23 limitations, Research Gaps and Future Research Directions........................24 discussion.......................................................................25 conclusion.......................................................................25 references.......................................................................27

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

Inhalt: AUTHOR-SUPPLIED ABSTRACT: Abstract: This thesis utilizes the Value Proposition Canvas by Osterwalder and others (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.

Anmerkung: DISSERTATION NOTE: Bachelor of Arts thesis in Business Administration - International Management and 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 blockchainches...........................................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 and 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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Umfang: 47 pages : , illustrations ; , 21 × 29.7 cm.

Inhalt: AI-GENERATED ABSTRACT: Abstract: Few businesses operate in todays' environment without planned and purposeful Enterprise Architecture (EA). As organizations continue to transform and move toward digital, EAs must work with the business to define priorities and align business requirements to IT strategies. Utilizing the outcomes of Koc and others (2021), this paper will use topic modeling to identify, analyze, and report patterns within a dataset (Gillies and others, 2022). This study investigates the application of topic modeling techniques to analyze the goals and priorities of enterprise architects. The analysis below employs LDA, CTM, and BTM models, but there are other topic modeling techniques that could be explored in future research, such as Hierarchical Dirichlet Process (HDP) or Structural Topic Model (STM). Findings from this study provide a foundation for future research and further refinement of topic modeling techniques. Keywords: Enterprise Architecture, digital transformation, business alignment, IT strategy, topic modeling, LDA, CTM, BTM, HDP, STM

Anmerkung: DISSERTATION NOTE: Bachelor of Arts thesis in Digital Business and Management, Berlin International University of Applied Sciences, 2023. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents abstract........................................................................iv i. Introduction.............................................................1 ii. Literature Review..................................................2 A. Enterprise Architecture and 4em...........................................2 B. Previous Studies in Enterprise Architecture.................................4 C. Nlp and Topic Modeling...................................................5 1. Latent Dirichlet Allocation (lda)......................................5 2. Correlated Topic Model (ctm).......................................6 3. Biterm Topic Model (btm)............................................6 iii. Methodology........................................................7 A. Data Collection...............................................................8 1. Importing the Basic Libraries.........................................8 2. Extracting the Goals....................................................9 B. Data Preprocessing..........................................................9 1. Tokenization.............................................................9 2. Processing With Spacy...............................................10 3. Custom Stop Word Removal Function.................................10 4. Removal of Underscore Character..................................11 5. Lemmatization..........................................................11 6. Applying the Preprocessing Function.................................11 7. Training a Bigram Model............................................11 8. Execution of Final Preprocessing Function..........................12 C. Setting up Lda Model....................................................12 1. the Gensim/corpora Module.......................................12 2. Lda Model Configuration...........................................12 3. Lda Model Stability Test............................................14 4. Lda Model Topic Visualizations..................................14 D. Setting up Ctm Model....................................................15 1. the Tomotopy Module................................................15 2. Ctm Model Configuration..........................................15 3. Ctm Model Stability................................................16 4. Ctm Topics Charts...................................................16 E. Setting up Btm Model....................................................16 1. the Biterm Modules and Preparation.................................16 2. the Btm Configuration..............................................16 3. the Btm Visualizations..............................................17 4. Btm Nan/zero-sum Checks........................................17 iv. Results...................................................................18 A. Modeled Topics............................................................18 1. Lda Output.............................................................18 2. the Ctm Results.......................................................21 3. Btm Results............................................................22 B. Cumulative Findings......................................................23 volume Discussion.................................................................25 A. Validation of the Results................................................25 B. Methodological Reflections..............................................26 C. Suggestions for Future Research.......................................27 vi. Conclusion..............................................................28 vii. References............................................................29 viii. Appendices............................................................33 A. Pyldavis Outputs........................................................33 1. Cluster 1.................................................................33 2. Cluster 2.................................................................33 3. Cluster 3.................................................................34 4. Cluster 4.................................................................34 5. Cluster 5.................................................................35 B. Complete Jupyter Notebook...........................................36 C. Thesis Declaration Page.................................................43

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Umfang: 34 pages : , illustrations ; , 21 × 29.7 cm.

Inhalt: AI-GENERATED ABSTRACT: Abstract: Role of marketing strategies in promoting Arab culture in the music industry in berlin By Jana Sayed Ahmad This thesis examines the role, importance and influence of various existing marketing strategies applied to promote Arab culture within the music industry in Berlinches This research put the focus on the use of digital media, particularly a strong social media presence and the organisation of Arab-themed events, that create a remarkable community engagement and involves musicians and other individuals active in the Berlin music scene. The dominant strategy observed involved the use of Instagram. It allowed musicians to easily communicate their work, enhancing Arab Music visibility and accessibility for a wider audience. Finally, what was found in this study is the identifiation of an exsisting gap regarding the communication of released content by artists direcly involved in producing or working with Arab Music in the Berlin music scene. Therefore, this research emphasis the need to put more focus on the marketing efforts, as it remains a main factor in widening the audience circle and creating more recognition for any kind of music and particularly Arab music in Berlin, which will eventually lead to a significant impact and achieve better outcomes. Keywords: Marketing strategies, Social media, Arab Music, Berlin music scene

Anmerkung: DISSERTATION NOTE: Bachelor of Arts thesis in International Management and Marketing, Berlin International University of Applied Sciences, 2023. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents 1.0 Introduction............................................................2 1.1 Purpose of This Study................................................2 2.0 Literature Review......................................................3 2.1 Background...........................................................3 2.2 Music Marketing......................................................3 2.3 Social Media Marketing..............................................3 2.4 Instagram: a Tool for Advertising...................................3 2.5 Arab Music in Berlinches...............................................3 2.6 Research Gap........................................................3 3.0 Methodology............................................................4 3.1 Data Collection......................................................4 3.2 Data Analysis........................................................4 4.0 Results.................................................................5 4.1 Interviews: What Is Being Done Regarding the Marketing Efforts......5 4.2 Survey: What Should Be Improved.....................................5 5.0 Discussion..............................................................6 6.0 Conclusion..............................................................7 7.0 References..............................................................8 appendix...................................................................9

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Umfang: 60 pages : , illustrations ; , 21 × 29.7 cm.

Inhalt: AI-GENERATED ABSTRACT: Abstract: This thesis examines the inner workings of platform-based business models and their potential application in business aviation for the sales of empty-leg flights. World-leading companies across different sectors widely utilize platform-based business, as they manage to effectively match supply and demand. The sector of business aviation, however, seems to not frequently utilize the opportunistic business model behind digital platforms. Incorporating previous research regarding platform business dimensions and exploring the relevance of empty-leg flights in business aviation through primary data gathering, this thesis demonstrates that platform-based business models are indeed a suitable approach for selling empty- leg flights. It identified four dimensions and corresponding success factors concerning value creation, value delivery, value capture, and the overall design behind platform-based business models. These were then contextualized with the current state of selling-empty leg flights to provide specific recommendations for a digital platform's design and use case. As such, a digital marketplace was deemed highly suitable for the sales of empty-leg flights. Keywords: Platform Businesses, Platform Business Dimensions, Digital Marketplaces, Business Aviation, Empty-Leg Flights

Anmerkung: DISSERTATION NOTE: Bachelor of Arts thesis in International Management and Marketing, Berlin International University of Applied Sciences, 2023. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents table of Contents....................................................................................................................iii 1. Introduction......................................................................................................................1 1.1 General Introduction.................................................................................................1 1.2 Main Problem Statement and Research Purpose..........................................................1 2. Theoretical Background.....................................................................................................2 2.1 Platform Business Vs. Pipeline Businesses.................................................................2 2.2 Platform Business Dimensions...................................................................................3 2.3 Critical Success Factors Linked to Platform Business Dimensions...............................5 2.3.1 Platform Activities..............................................................................................5 2.3.2 Clear Value Proposition......................................................................................6 2.3.3 Network Effects...................................................................................................6 2.3.4 Revenue Capture and Pricing Mechanisms..........................................................8 2.3.5 Degree of Platform Openness..............................................................................8 2.4 the Business Aviation Industry - an Overview..........................................................10 2.4.1 Introduction to Business Aviation.....................................................................10 2.4.2 the Business Model Behind Business Aviation................................................11 2.4.3 the Business Aviation Market..........................................................................12 2.4.4 Empty-leg Flights............................................................................................12 3. Methodology.....................................................................................................................13 3.1 Participants................................................................................................................14 3.2 Research Design and Procedure................................................................................14 3.3. Data Analysis............................................................................................................15 4. Results and Findings.........................................................................................................16 4.1 Operator Size and Flight Operations..........................................................................16 4.2 Geographical Scope....................................................................................................17 4.3 Impact and Relevance of Empty-leg Flights.............................................................18 4.4 Monthly Flight Operations and Impact Empty-leg Flights...........................................19 4.5 Cost Distribution and Sales of Empty-leg Flights......................................................20 4.6 Passengers Use Cases for Business Aviation and Empty-leg Flights.........................23 5. Discussion..........................................................................................................................23 5.1 Limitations..................................................................................................................23 5.2 the Sales of Empty-leg Flights, a Relevant Business Opportunity.............................24 5.3 Four Platform Business Dimensions...........................................................................24 5.3.1 Creating Value by Matchmaking Supply and Demand on a Digital Marketplace...24 5.3.2 Delivering Value Through Cost, Price, Efficiency, and a Superior Experience....26 5.3.3 Value Capturing by Monetizing the Supply Side..............................................27 5.3.4 High Degree of Platform Openness...................................................................28 5.4. Sustainability of the Marketplace..............................................................................30 5.5. Risk of Failure...........................................................................................................31 6. Conclusion.......................................................................................................................31 references................................................................................................................................33 appendix A................................................................................................................................43 appendix B..............................................................................................................................49

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

Inhalt: 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.

Anmerkung: 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 and 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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Umfang: 36 pages : , illustrations ; , 21 × 29.7 cm.

Inhalt: 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.

Anmerkung: DISSERTATION NOTE: Bachelor of Arts thesis in Data Science and 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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Umfang: 64 pages : , illustrations ; , 21 × 29.7 cm.

Inhalt: 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

Anmerkung: 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 and 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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Umfang: 51 pages : , illustrations ; , 21 × 29.7 cm.

Inhalt: 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.

Anmerkung: DISSERTATION NOTE: Bachelor of Arts thesis in Digital Business and 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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Umfang: 59 pages : , illustrations ; , 21 × 29.7 cm.

Inhalt: AI-GENERATED ABSTRACT: Abstract This thesis discusses how framing communication with customers using Jungian archetypes has psychological, philosophical, and physiological benefits in individuals and companies. Jungian archetypes were theorized by Carl Jung as an answer to Friedrich Nietzsche's question regarding where individuals are to derive values from in the absence of "Christian values" in a post-God world. This thesis discusses the origins of the archetypal theory, including a philosophical and psychological analysis, and the influences of Carl Jung-namely, Nietzsche and Freud. As well, this thesis considers the theory of Carl Jung regarding the abstraction of value and meaning from the unconscious, and how in that process, the archetypal theory is derived. An analysis of the work of Jordan Peterson in his book Maps of Meaning: The Architecture of Belief is also undertaken in which he discusses the physiological processes of the mind regarding stories and archetypes. Archetypes not only give meaning to a person when they integrate an archetypal story in their life-either willingly or through the encounter of a product that imbues that story-but they also have psychological and physiological benefits; the process undergone by the mind when transforming something "unknown" to something "known"-through an archetypal story-is proven to be beneficial to the mind, even reducing anxiety levels in individuals. Jungian archetypes were designed not only to bring meaning and "re-store" values in people's lives, but also so that companies can harness their power, help individuals-customers-find that meaning, and create loyal customers. Keywords: Jungian archetypes, Carl Jung, Friedrich Nietzsche, values, philosophy, psychology, physiology, Jordan Peterson, Maps of Meaning, customer communication

Anmerkung: DISSERTATION NOTE: Master of Business Administration thesis, Berlin International University of Applied Sciences, 2023. , MACHINE-GENERATED CONTENTS NOTE:

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