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The aim is to analyse the business results of the Lyft platform during the Covid 19 pandemic. Research and analysis of business results are the basis for comparison with the business results of other corporations in the sharing economy model. Selected financial indicators were used in the analysis, which were put in relation with selected ride-hailing indicators. The research was done using the financial analysis of parameters from the corporation's profit and loss account, that is, statistical regression of the ride-hailing trend in the selected time period. The research results indicate a strong impact of the Covid 19 pandemic on the overall activities of the corporation. In the first quarter of 2020, during the lockdown in the USA, the corporation's revenues and the number of rides dropped sharply. The corporation's revenues continuously grew until the emergence of the Covid 19 pandemic, and fell sharply with the advent of the lockdown model. The same trend was shown with the number of ride-hailing activities. After emerging from the crisis, revenues are recovering as well as the number of ride-hailing.
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Purpose - the aim of this paper is to analyse the business efficiency of the Rakuten platform at the beginning and during the Covid 19 crisis. Methodology / Design - research and analysis are based on secondary research published in Annual Report Corporation as well as in other relevant scientific sources. The research is divided into three basic parts that can be individually compared with the results of research on other platforms in the pandemic period. The results - the results of the research proved the strong impact of the Covid 19 pandemic on the overall business result. The analysis of financial items, as a quantitative part of the research, needs to be compared with the results that the platform achieves in the development of business activities in order to obtain a complete picture of the business. Conclusion - the platform has achieved negative financial results in the last two years, but the number of users is still growing, which leaves room for financial recovery. In addition, the platform develops new technologies and business models from which it expects revenue in the future.
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The aim - of this paper is to determine the fundamental changes in the structure and trends of revenues of the global media industry and to determine the basic directions of development. Methodology / design - Research and analysis of results are based on financial analysis of revenues of the global music industry in the last fifteen years, analysis of changes in revenue structure, and regression analysis of trend testing in the ANOVA model. The research uses reports from agencies specializing in the global music industry, scientific literature related to the music industry, and other relevant sources. The results - research results have proven significant changes in the revenue structure of the global music industry. Due to the change in consumer behaviour, revenue from streaming has become the dominant part of revenue. Conclusion - The music industry has completely changed its revenue generation model. The core revenues of the global music industry follow modern trends. While the old music industry generated revenue from the sale of physical sound carriers, the modern music industry generates most of its revenue from streaming and performance right.
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The findings serve as the basis for decision-making in the process of digital transformation of the analysed corporation, and the model can also be used by other players in the media industry (or any other industry) in the process of their digital transformation. In the context of the current COVID-19 pandemics, in spite of its devastating impact on the global economy and businesses across the world, it may have been "the impetus for the significant development of digital technology" (Khodova, 2021). Continued decline in daily newspaper circulation in the U.S. began as early as 1985 (Pew Research Center), and the development of digital publications has only accelerated that process. Section 2 reviews the related literature;Section 3 introduces the methodology, the research questions and the data;Section 4 presents the results and provides a data analysis, whereas Section 5 opens up a discussion of the results and concluding remarks together with guidance for future research. 1.RELATED LITERATURE Recent research has focused on analysing the language form and structure of texts published in the New York Times.
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Purpose - The aim of this paper is to analyse the trends of the global video game industry during the Covid 19 pandemic. Methodology - The research is based on an analysis of the revenue of the global video game industry and the trend in the number of users. The research is divided into an analysis of the revenue structure as well as a geographical segmentation of total revenue. The results of the financial analysis are compared with the results of the trend analysis of the number of users. The results - research has confirmed the strong impact of the Covid 19 pandemic on the revenue trend of the global video game industry. The crisis has hit the traditional media markets of Europe and the USA the hardest. The number of users has grown steadily despite the Covid 19 crisis. Conclusion - The global video game industry has developed into the largest segment of the media industry. Revenues and the number of users are constantly growing. Even higher revenue growth can be expected in the coming years.
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The aim of this paper is to compare the business results of corporations within the media industry. The analysis included two corporations from the "old" and two corporations from the "new " media industry. The corporations in the "old" media industry are Comcast Corporation and the New York Times, and the corporations in the "new " media industry are Netflix and Spotify. We determine the "old" media industry according to the organizational design of vertical integration. The "new " media industry uses a streaming platform model. Financial analysis includes selected items from the corporate income statement to compare the business results of corporations. By analysing the trend in the number of users, a new model of user behaviour was determined. The "old" media industry is undergoing a process of transformation and generating revenues from several different models of commodification. The "new" media industry is taking advantage of the technological advantage of this new user habit. The analysis and comparison of the results of these two models indicates the directions of development of the global media industry.
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The aim of this paper is to compare the business performance of corporations from the "old" and "new" media industry during the Covid 19 pandemic. The model of the "old" or "new" media industry is defined according to the design and business model of the organization. Comcast Corporation is a vertically integrated corporation whose revenue base is cable television subscriptions. According to these characteristics, it belongs to the old media industries. Netflix is a streaming platform, and it generates basic revenue from subscribing to streaming video content. The streaming platform is part of the platform economy model and belongs to the new media industry. The analysis of the financial results of corporate operations and the analysis of subscribers' trends will compare the business performance of corporations during the Covid 19 pandemic. Postmodern and post-industrial society requires a significant change in managerial practices in the media industry.
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The aim of this paper is to analyse the business results of the eBay platform at the time of the global Covid 19 pandemic. The economic crisis, globally, has hit all industrial sectors. At the same time, lockdown has contributed to greater online shopping and online platforms. The eBay platform is the largest global auction platform and the oldest of the existing online platforms. The analysis of the business result of the platform, as well as the trend of the number of customers, will determine the impact of the pandemic on the business result of the platform as well as the relationship between sales revenue on the platform and the trend of the number of users. The research covers the financial results for the last few years as well as the trend of the number of users before and during the pandemic. The results of the research will be the basis for comparison with the results of the business results survey of other online platforms in order to more easily draw conclusions about the impact of the pandemic on online businesses.