Browsing by Subject "Digital Transformation"
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Item Restricted Business Agility in the Context of Digitalization and COVID-19(2022) Mira Berrak Voigt; Artinger, Florian; Mantel, Peter; Faculty of Business Administration; Berlin International University of Applied SciencesAI-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 ManagementPublication Restricted Creative Revolution or Risky Business? The Impact of Generative AI on the Fashion Industry's Future(2025) Tsybulska, Liudmyla; Mantel, Peter; Mirzoyan, Varsenik; International Management and Marketing (BA); Berlin International University of Applied SciencesThis research examines how generative artificial intelligence (GenAI) transforms the fashion industry by analyzing its effects on creativity and sustainability and business strategies. Fashion undergoes digital transformation while GenAI functions as both creative tool and disruptive element which creates essential questions about authorship and authenticity and long-term responsibility. The study addresses the expanding GenAI tool usage throughout the fashion value chain by analyzing both industry operational changes and cultural shifts that result from this transformation. The research combines academic literature analysis with industry data from expert interviews and brand case studies to achieve its findings. The research shows GenAI improves both speed and efficiency and creative output yet its implementation depends on organizational culture and brand identity and ethical priorities rather than technological limitations. Luxury brands together with mass-market brands encounter obstacles regarding authenticity perception and greenwashing risks and consumer doubt which limit their willingness to show GenAI openly. The research demonstrates that GenAI functions as a versatile instrument whose results depend on strategic direction and human supervision. The study demonstrates that fashion requires immediate development of new theoretical models for creativity and sustainability and business ethics to address the current human-AI collaboration framework.Item Restricted Exploring the Goals and Priorities of Enterprise Architects : Topic Modeling Analysis of Enterprise Architects' Goals in the 2018-2020 German Market(2023) Hrvoje RubeÅ”a; Artinger, Florian; KoƧ, Hasan; Faculty of Business Administration; Berlin International University of Applied SciencesAI-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, STMItem Restricted How Machine Learning Models were Affected by the Corona Crisis(2023) Paul Immanuel Scrima von der Goltz; Artinger, Florian; KoƧ, Hasan; Faculty of Business Administration; Berlin International University of Applied SciencesAI-GENERATED ABSTRACT: Abstract: The COVID-19 crisis has had a profound impact on various industries worldwide, including the airline and movie sectors. Machine learning models, which play a crucial role in predicting outcomes and optimizing operations in these industries, have also been affected by the pandemic. This comparative literature review aims to explore and analyze the performance of machine learning models in the airline and movie industries during and after the COVID-19 crisis. By conducting a comprehensive analysis of relevant scholarly articles, conference papers, and industry reports, this review aims to provide insights into the challenges, adaptations, and advancements made in machine learning models pre- and post-pandemic. The relevant papers and sources were selected based on being pre- and post-pandemic. These two categories of sources were then compared for both industries to illustrate the effects of the pandemic on machine learning models in both industries, and how they have developed since this global event. The findings demonstrated that machine learning has been in use for decades in both industries. In the movie industry, the algorithms were mainly used for forecasting revenue or predicting movie success pre-pandemic, while in the airline industry, machine learning models predicted flight patterns/delays or ticket prices. While the algorithms and models in both industries struggled initially in the new dynamic environments, key differences can be synthesized between the developments since. While the airline industry continues to grow and utilizes ML as a globally demanded and necessary industry, the movie industry has still not fully recovered since COVID-19 as many consumers move to digital alternatives like streaming platforms. The findings of this review will contribute to a deeper understanding of the implications of the COVID-19 crisis on machine learning applications and provide insights for researchers, practitioners, and decision-makers in these industries. Keywords: COVID-19 Impact, Machine Learning Models, Airline Industry, Movie Industry, Predictive Analytics, Pandemic Adaptations, Comparative Analysis, Algorithm Performance, Industry Recovery, Digital TransformationItem Restricted The Role of Management Information Systems on Business Process Redesign(2022) Oscar Ekema Likambi; KoƧ, Hasan; Mantel, Peter; Faculty of Business Administration; Berlin International University of Applied SciencesAI-GENERATED ABSTRACT: Abstract: This chapter introduces the concept of business process redesign and its significance in organizations. It explains the benefits of process management and how it aligns with the objectives of increasing customer satisfaction, exploiting employee potential, reducing costs, and promoting business efficiency. The chapter also highlights the role of digital transformation in driving business process change and the importance of management information systems in supporting this initiative. It discusses the background of business process redesign, its characteristics, and the factors critical to its success. The research questions, objectives, and methodology of the study are presented, which include a literature review and analysis of relevant case studies. The chapter concludes by outlining the structure of the thesis and the topics to be explored in subsequent chapters. Keywords: Business process redesign, management information systems, digital transformation, process management, case studiesItem Restricted Transforming Businesses With Environmental Social Governance (esg)(2022) Marvin Alfonso Palomeque Aguilar; Artinger, Florian; KoƧ, Hasan; Faculty of Business Administration; Berlin International University of Applied SciencesAUTHOR-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