Browsing by Subject "Covid-19 Impact"
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Item Restricted How Machine Learning Models were Affected by the Corona Crisis(2023) Paul Immanuel Scrima von der Goltz; Artinger, Florian; Koç, 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 Navigating the Storm : Strategies Employed by Small Fashion Businesses in Berlin on Instagram to Mitigate the Impact of the Covid-19 Pandemic and Sustain Operations(2023) Kiana Kazemi; Glarou, Despoina; Ülker, Barış; Faculty of Business Administration; Berlin International University of Applied SciencesAI-GENERATED ABSTRACT: Abstract This bachelor thesis looks at small fashion businesses in Berlin and the strategies they used on Instagram to battle the sudden challenges posed by the COVID-19 pandemic while keeping their operations running smoothly. The pandemic has had an intense impact on the fashion industry globally, and left many businesses struggling to survive and to sustain their operations. Many businesses had to alter either the way they market themselves or run their operations in order to adapt to the changes imposed by the pandemic, such as lockdowns and social distancing. In this bachelor thesis we focus on small fashion businesses operating in the city of Berlin who found a glimmer of hope by harnessing the power of Instagram, using it as a lively platform to promote themselves and generate sales during these tough times. These small fashion businesses employed visual storytelling and community building tactics, and leveraged Instagram's features like stories, username tags, and Instagram's online store to create an engaging brand presence online and to increase their sales. While previous research has been made regarding the effects of COVID-19 pandemic on the fashion industry and the use of social media as a marketing tool, the pandemic's impact on specifically small fashion businesses and their use of Instagram as a social media marketing tool to mitigate these challenges has not been thoroughly explored. Therefore, this bachelor thesis aims to fill that research gap by conducting in-depth semi-structured interviews with five small fashion business owners operating in Berlinches Through thematic analysis of the collected data, this bachelor thesis uncovers six key strategies that these business owners implemented to effectively market themselves on Instagram and sustain their operations during the COVID-19 pandemic. The strategies identified were advertising, communication, innovation, competitiveness, brand image, and tools. Throughout the findings of this bachelor thesis it becomes clear that Instagram can help businesses not only to cultivate meaningful and long-lasting connections with their customers, but also to expand their reach and attract new potential customers, which enables businesses to stay competitive during times of uncertainty and rapid change. The findings of this bachelor thesis aim to contribute to the pre-existing knowledge about social media marketing and add insights into the use of Instagram as a marketing tool and a form of e-commerce, in order to help future fashion entrepreneurs who might struggle through challenging times and must find ways to make their business survive. Keywords: COVID-19 impact, small fashion businesses, Instagram marketing, social media strategies, Berlin, visual storytelling, e-commerce, brand engagement, community building, competitive sustainabilityItem Restricted The Impact of Political and Global Crises on Stock Market Volatility : the Case Of the Turkish Stock Market(2023) Diyar Halis Karaman; Mantel, Peter; Villegas, Erick Behar; Faculty of Business Administration; Berlin International University of Applied SciencesAI-GENERATED ABSTRACT: Abstract: This master's thesis examines the complex relationship between political and global crises and stock market volatility, focusing on the effects within the context of the Turkish stock market. Utilizing a multifaceted methodology encompassing literature review, analysis of historical numeric data, investor surveys, and expert interviews, this study aims to comprehensively understand the dynamics of this intricate relationship. The literature review specifically delves into the impact of political and global crises on stock market volatility by assimilating past research, reports, and analyses. Findings reveal that political uncertainties, policy changes, conflicts, and geopolitical tensions emerge as significant triggers of increased market volatility. The research presents the Turkish stock market as an example subject to the effects of various political and global crises. Global crises, including financial downturns, pandemics, disruptions in global supply chains, and geopolitical events, are identified as prominent sources of volatility. The study highlights the direct impact of the COVID-19 pandemic on the Turkish stock market, leading to heightened market fluctuations. The influence of local and global news on market volatility is evident, emphasizing the dominance of international news in affecting the Turkish market. Addressing the research questions, the study examines how stock market volatility stemming from crises affects investors and explores potential strategies to mitigate its impact. Surveys and interviews assist in understanding investor behaviors and strategies. Findings encompass varying responses to crisis-induced volatility, including evaluating opportunities through aggressive trading or adopting protective measures like portfolio rebalancing. The study underscores the role of regulatory authorities in reducing volatility and emphasizes the impact of government decisions on market stability. Through the synthesis of results from diverse research methods, the study reaffirms the significant role of political and global crises in amplifying stock market volatility. The literature review demonstrates a consensus among various sources that uncertainties during crises have a clear impact on market volatility. Our analysis highlights macroeconomic variables, types of financial leverage, and crisis types on a global scale and driven by policy decisions as the fundamental contributors to volatility. Historical data, including the VIX volatility index, corroborates the increase in volatility during crisis periods. The study concludes by emphasizing the multifaceted implications of research findings. It urges policymakers and market regulators to acknowledge the impact of political and global crises on market volatility and implement transparent regulatory measures to manage and stabilize markets. Investors are advised to align investment decisions with risk perceptions and long-term goals. The study acknowledges its limitations, particularly its focus on Turkey, and the potential biases introduced by historical data and opinions. In conclusion, this study valuably addresses the intricate interplay between political and global crises and stock market volatility. By tackling this complex relationship, the research offers practical outcomes for policymakers, investors, and market participants. Keywords: stock market volatility, political crises, global crises, Turkish stock market, investor behavior, regulatory authorities, COVID-19 impact, financial leverage, VIX index, risk management