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  • Berlin International  (8)
  • Charité
  • Polnisches Institut
  • SB Lübben
  • GB Schöneiche
  • Mantel, Peter,  (8)
  • 1
    UID:
    kobvindex_INTbi00005124
    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
    Language: Undetermined
    Keywords: Academic theses
    URL: FULL
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  • 2
    UID:
    kobvindex_INTbi00005159
    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
    Language: Undetermined
    Keywords: Academic theses
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  • 3
    UID:
    kobvindex_INTbi00005330
    Format: 87 pages : , illustrations ; , 21 × 29.7 cm.
    Content: AI-GENERATED ABSTRACT: Abstract: This thesis aims to examine the impact of AI-enabled Customer Relationship Management (CRM) in small and medium-sized e-commerce businesses in Germany and India. The adoption of Artificial Intelligence (AI) in CRM is emerging as a solution for businesses in their marketing operations. The research addresses the competitive advantages including customer personalisation, segmentation, lead generation, targeting, data, and predictive analysis. This study gathers a mix of qualitative and quantitative approaches where survey respondents (N=30) and Interviews (N=10) include case studies of marketing professionals and executives. The research questions are analysed with two hypotheses which explains the value of AI in CRM for small and medium sized e-commerce businesses. The AI features in CRM provided by MoEngage are deeply analysed. The results show e-commerce businesses improve customer engagement and sales by effective personalisation and segmentation after implementation of AI-enabled CRM. Keywords: Artificial Intelligent (AI), CRM, AI-enabled CRM, small and medium-sized businesses, e-commerce, marketing, Segmentation, Personalisation.
    Note: DISSERTATION NOTE: Master of Business Administration thesis, Berlin International University of Applied Sciences, 2023. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents abstract..........................................................................................................v 1. Introduction................................................................................................1 1.1. Hypothesis........................................................................................2 2. Literature Review......................................................................................2 2.1. Artificial Intelligence (ai).................................................................2 2.2. Ai Transforming Crm in E-commerce..............................................8 2.3. Importance of Ai-enabled Crm.......................................................11 2.4. Ai-enabled Crm Adds Value to Small and Medium E-commerce Businesses.......................................................................................12 2.5. Crm in India & Germany..............................................................14 2.6. Challenges Faced by Small and Medium-sized E-commerce Businesses......................................................................................15 2.7. Moengage.......................................................................................17 2.7.1. About Moengage........................................................................17 2.7.2. Ai-enabled Crm Moengage: Sherpa..........................................19 2.7.3. Deeper Insights on Moengage Ai Capabilities in Crm.................20 2.7.3.1. How Does it Actually Predict?..........................................21 3. Research Methodology............................................................................21 3.1. Research Design..............................................................................22 3.2. Sampling..........................................................................................22 3.2.1. Qualitative Interviews...........................................................22 3.2.2. Survey...................................................................................23 3.3. Data Collection................................................................................23 3.3.1. Qualitative Interviews...........................................................23 3.4. Survey Forms................................................................................25 3.5. Data Analysis..................................................................................25 3.5.1. Interviews Analysis...............................................................25 3.5.2. Survey Analysis.....................................................................25 3.6. Validity & Reliability.......................................................................25 3.7. Ethical Considerations.....................................................................26 4. Results......................................................................................................26 4.1. Interview Results.............................................................................26 4.2. Survey Results................................................................................31 5. Discussions...............................................................................................35 5.1. H1: Implementing Ai-enabled Crm Systems in Small and Medium-sized E-commerce Businesses Improves Customer Engagement and Personalisation............................................................................35 5.2. H2: Small and Medium-sized E-commerce Businesses That Adopt Ai-enabled Crm Systems in India & Germany Experience Improved Customer Targeting and Segmentation........................................................38 6. Limitations and Scope for Future Research.................................................39 7. Conclusion................................................................................................39 8. References...............................................................................................41 9. Appendices...............................................................................................53
    Language: Undetermined
    Keywords: Academic theses
    URL: FULL
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  • 4
    UID:
    kobvindex_INT60916
    Format: 87 pages : , illustrations ; , 21 × 29.7 cm.
    Content: AI-GENERATED ABSTRACT: Abstract: This thesis aims to examine the impact of AI-enabled Customer Relationship Management (CRM) in small and medium-sized e-commerce businesses in Germany and India. The adoption of Artificial Intelligence (AI) in CRM is emerging as a solution for businesses in their marketing operations. The research addresses the competitive advantages including customer personalisation, segmentation, lead generation, targeting, data, and predictive analysis. This study gathers a mix of qualitative and quantitative approaches where survey respondents (N=30) and Interviews (N=10) include case studies of marketing professionals and executives. The research questions are analysed with two hypotheses which explains the value of AI in CRM for small and medium sized e-commerce businesses. The AI features in CRM provided by MoEngage are deeply analysed. The results show e-commerce businesses improve customer engagement and sales by effective personalisation and segmentation after implementation of AI-enabled CRM. Keywords: Artificial Intelligent (AI), CRM, AI-enabled CRM, small and medium-sized businesses, e-commerce, marketing, Segmentation, Personalisation.
    Note: DISSERTATION NOTE: Master of Business Administration thesis, Berlin International University of Applied Sciences, 2023. , MACHINE-GENERATED CONTENTS NOTE: Table of Contents abstract..........................................................................................................v 1. Introduction................................................................................................1 1.1. Hypothesis........................................................................................2 2. Literature Review......................................................................................2 2.1. Artificial Intelligence (ai).................................................................2 2.2. Ai Transforming Crm in E-commerce..............................................8 2.3. Importance of Ai-enabled Crm.......................................................11 2.4. Ai-enabled Crm Adds Value to Small and Medium E-commerce Businesses.......................................................................................12 2.5. Crm in India and Germany..............................................................14 2.6. Challenges Faced by Small and Medium-sized E-commerce Businesses......................................................................................15 2.7. Moengage.......................................................................................17 2.7.1. About Moengage........................................................................17 2.7.2. Ai-enabled Crm Moengage: Sherpa..........................................19 2.7.3. Deeper Insights on Moengage Ai Capabilities in Crm.................20 2.7.3.1. How Does it Actually Predict?..........................................21 3. Research Methodology............................................................................21 3.1. Research Design..............................................................................22 3.2. Sampling..........................................................................................22 3.2.1. Qualitative Interviews...........................................................22 3.2.2. Survey...................................................................................23 3.3. Data Collection................................................................................23 3.3.1. Qualitative Interviews...........................................................23 3.4. Survey Forms................................................................................25 3.5. Data Analysis..................................................................................25 3.5.1. Interviews Analysis...............................................................25 3.5.2. Survey Analysis.....................................................................25 3.6. Validity and Reliability.......................................................................25 3.7. Ethical Considerations.....................................................................26 4. Results......................................................................................................26 4.1. Interview Results.............................................................................26 4.2. Survey Results................................................................................31 5. Discussions...............................................................................................35 5.1. H1: Implementing Ai-enabled Crm Systems in Small and Medium-sized E-commerce Businesses Improves Customer Engagement and Personalisation............................................................................35 5.2. H2: Small and Medium-sized E-commerce Businesses That Adopt Ai-enabled Crm Systems in India and Germany Experience Improved Customer Targeting and Segmentation........................................................38 6. Limitations and Scope for Future Research.................................................39 7. Conclusion................................................................................................39 8. References...............................................................................................41 9. Appendices...............................................................................................53
    Language: Undetermined
    Keywords: Academic theses
    URL: FULL
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    kobvindex_INT61014
    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 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
    Language: Undetermined
    Keywords: Academic theses
    URL: FULL
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  • 6
    UID:
    kobvindex_INT61049
    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 and New Work.............35 ImmoScout24....................................................................38 Conclusion................................................................................42 References................................................................................45 Appendices...............................................................................54 Appendix A-Survey Questions/Statements and Results...................54 Appendix B-Domains of Business Agility................................73 Appendix C-Agile Transformation.........................................74 Appendix D-2022 Global Business Agility Survey IS24................75
    Language: Undetermined
    Keywords: Academic theses
    URL: FULL
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  • 7
    UID:
    kobvindex_INT0004848
    Format: iv, 37 pages : , illustrations ; , 30 x 21 cm.
    Content: MACHINE-GENERATED SUMMARY NOTE: "In order to respond to the rapid changes in the business environment due to the rapid globalisation and technology development, organisations are asked to analyse and evaluate an elevated amount of information from multiple sources. In applying correct managerial decisions, suitable and efficient data gathering systems need to be integrated into the Decision-Making process within the organisational context. The concept of Business Intelligence aims to satisfy this necessity and support managers by improving the quality and understandability of information, which is then transformed into organisational knowledge. This paper focuses on the importance of Business Intelligence solutions for the managerial decisions and how modern decisions require an accurate information gathering support. An overview on the Decision-Making process will be provided, followed by a description of what is intended for 'Business Intelligence'. Successively, the different aspects of the Business Intelligence tool’s composition and operations will be then analysed, along with its beneficial functionalities for data management and organisational performance. Other related data analytical concepts, such as Big Data, Competitive Intelligence and Artificial Intelligence are also included into the study. Moreover, a case study on BMW will report how BI softwares and Data Analysis systems are integrated within different departmental levels for a multinational automaker. Finally, the findings on the German automaker will show the application of a BI software by BMW dealers for data storage and reporting activities, the role of data analytics and AI systems into modern manufacturing facilities, the project of an autonomous driving system and the creation of a new datacenter."
    Note: DISSERTATION NOTE: submitted as bachelor thesis in Business Administration, Berlin International University of Applied Sciences, 2020. , MACHINE-GENERATED CONTENTS NOTE: i. Abstract ................................................................................................................ i ii. Table of Contents............................................................................................... ii iii. List of Abbreviations ....................................................................................... iii iv. List of Figures .................................................................................................. iv 1. Introduction ....................................................................................................... 1 1.1 General Introduction .............................................................................. 1 1.2 Main Problem Statement ....................................................................... 1 1.3 Research Purpose ................................................................................... 2 1.4 Research Questions ............................................................................... 2 2. Literature Review .............................................................................................. 3 2.1 Decision-Making Process ...................................................................... 3 2.2 Business Intelligence ............................................................................. 6 2.2.1 Characteristics of Business Intelligence ................................. 8 2.2.2 Structure of Business Intelligence Tools ................................ 9 2.2.3 Organisational Benefits of Business Intelligence ................. 11 2.3 Competitive Intelligence...................................................................... 13 2.4 Big Data ............................................................................................... 14 2.5 Artificial Intelligence and Machine Learning ..................................... 14 3. Methodology ..................................................................................................... 15 3.1 Research strategy ................................................................................. 15 3.2 Limitations ........................................................................................... 16 4. Results - BMW case study............................................................................... 17 4.1 BMW: the company............................................................................. 17 4.2 BMW dealers and BI tools: “TimeXender” ........................................ 18 4.3 AI manufacturing processes, Smart Data analytics and IBM .............. 20 4.4 Autonomous driving ............................................................................ 22 4.5 BMW database .................................................................................... 22 5. Discussion ........................................................................................................ 23 5.1 Business Intelligence and Decision-Making process .......................... 24 5.2 How BMW benefits from BI, Big Data and AI implementation......... 25 5.3 Research limitations and recommendations ........................................ 28 6. Conclusion ........................................................................................................ 29 7. References......................................................................................................... 30 Appendix .............................................................................................................. 36 Declaration Page .................................................................................................. 37
    Language: English
    Keywords: Academic theses ; Academic theses
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  • 8
    Book
    Book
    Berlin, Germany :Berlin International University of Applied Sciences,
    UID:
    kobvindex_INT0004851
    Format: iii, 30 pages : , illustrations ; , 30 x 21 cm.
    Content: MACHINE-GENERATED SUMMARY NOTE: "Talent retention currently is a very important aspect in today’s organizations. To maintain relevant talent within its boundaries is something crucial for the institutions, due to several different reasons, in order to prosper in the market that it operates. Taking to the eCommerce industry, this is an even more delicate topic, as skilled-labor force is scarce and the need for retention is beyond valuable. To the scenario of change, retention becomes a greater challenge. This article utilizes an interview study involving professionals in the industry in order to analyze the importance, impacts and how different strategies are applied in order to retain talent within the organizations. Continuing previous research, this study highlights the importance of talent management, the use of digitalization in order to boost positive outcomes and means to update previous research to the modern scenario. Furthermore, a model is developed to facilitate the comprehension of impacts of organizational change within the industry and known strategies of talent retention, as well as the idea of change enablers, which is a concept that facilitates handling the change and retention aspects so that transitions are gone through with ease. In this sense, this study aims to clarify aspects of talent retention within the eCommerce industry, in times of organizational change."
    Note: DISSERTATION NOTE: submitted as bachelor thesis in Business Administration, Berlin International University of Applied Sciences, 2020. , MACHINE-GENERATED CONTENTS NOTE: Introduction 1 Literature Review 5 Talent Retention 5 The Industry 8 Organizational Change 9 Methods 13 Design 13 Research Setting 13 Sample 14 Data Collection 14 Data Analysis 17 Findings 18 Discussion 20 Theoretical Implications 20 Practical Implications 22 Limitations and directions for future research 22 Conclusion 23 References 24 Appendix 27
    Language: English
    Keywords: Academic theses ; Academic theses
    URL: FULL
    URL: FULL
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