398 research outputs found

    The influence of Amazon on E-Commerce Industry Evolution and Customers’ Buying Behaviour: A case study of a financial institution

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    Internship Report presented as the partial requirement for obtaining a Master's degree in Information Management, specialization in Marketing IntelligenceThe definition of e-commerce stands by a business model that allows companies and individuals to buy and sell goods and services over the Internet (Bloomenthal, 2022). Amazon remains one of the largest companies in the E-Commerce industry market. How is it possible to know this? The answer is simple, Amazon has made public its revenue of at least $75.45 billion during the current pandemic. Along with its impressive sales numbers, Amazon has once again proven to be one of the most powerful companies within the industry because of its high popularity among consumers. The main objective of this internship report is to understand what is the impact of Amazon on E-Commerce Industry and consumers’ buying behaviour, and for that it is necessary to understand what is the impact of Amazon on the main results of companies that sell products in that same platform. To answer this question, I had to understand data from Amazon Seller Central, company/brands reports, and reports of campaigns carried out. All the information was analysed using data from the company where I made my internship. It is important to say that Amazon has a lot of influence on the buying behaviour of thousands if not millions of consumers, more properly, consumers of the young generation. The reason why this is so is because, people of that age know more about technology and are more into the online world than older people. So why is this happening? Because customers love to shop online, and why? Because itis easy, comfortable, effortless and often comes with great discounts for the buyer.A definição de E-Commerce assenta num modelo de negĂłcio que permite Ă s empresas e indivĂ­duos comprar e vender bens e serviços atravĂ©s da Internet (Bloomenthal, 2022). A Amazon continua a ser uma das maiores empresas no mercado da indĂșstria do E-Commerce. Como Ă© possĂ­vel saber isso? A resposta Ă© simples, a Amazon tornou pĂșblica a sua receita de pelo menos 75,45 mil milhĂ”es de dĂłlares durante a atual pandemia. Deste modo, a Amazon provou uma vez mais ser uma das mais poderosas empresas dentro da indĂșstria de E-Commerce pela elevada popularidade entre os consumidores. O principal objetivo deste relatĂłrio de estĂĄgio Ă© compreender qual o impacto da Amazon na evolução da IndĂșstria do E-Commerce e no comportamento de compra dos consumidores, e para tal Ă© necessĂĄrio compreender qual o impacto da Amazon nos principais resultados das empresas que vendem produtos nessa mesma plataforma. Para responder a esta pergunta, tive de compreender qual o impacto do ECommerce nos resultados dessas empresas (em geral) incluindo relatĂłrios de empresas/marcas, e relatĂłrios de campanhas realizadas e compreender tambĂ©m os dados das empresas na Amazon Seller Central. Toda essa informação foi analisada utilizando os dados da empresa em que realizei o meu estĂĄgio na Holanda. É importante dizer que a Amazon tem muita influĂȘncia no comportamento de compra de milhares senĂŁo milhĂ”es de consumidores, mais propriamente, consumidores da geração jovem. A razĂŁo pela qual isso acontece Ă© porque pessoas com essa idade sabem mais sobre tecnologia e estĂŁo “mais dentro” do mundo online do que as pessoas com mais idade. Assim sendo, porque Ă© que isso estĂĄ a acontecer? Porque os clientes adoram comprar online, e porquĂȘ? Porque Ă© fĂĄcil, confortĂĄvel, sem esforço e muitas vezes vem acompanhado com grandes e vantajosos descontos para o comprador

    La traduzione specializzata all’opera per una piccola impresa in espansione: la mia esperienza di internazionalizzazione in cinese di Bioretics© S.r.l.

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    Global markets are currently immersed in two all-encompassing and unstoppable processes: internationalization and globalization. While the former pushes companies to look beyond the borders of their country of origin to forge relationships with foreign trading partners, the latter fosters the standardization in all countries, by reducing spatiotemporal distances and breaking down geographical, political, economic and socio-cultural barriers. In recent decades, another domain has appeared to propel these unifying drives: Artificial Intelligence, together with its high technologies aiming to implement human cognitive abilities in machinery. The “Language Toolkit – Le lingue straniere al servizio dell’internazionalizzazione dell’impresa” project, promoted by the Department of Interpreting and Translation (ForlĂŹ Campus) in collaboration with the Romagna Chamber of Commerce (ForlĂŹ-Cesena and Rimini), seeks to help Italian SMEs make their way into the global market. It is precisely within this project that this dissertation has been conceived. Indeed, its purpose is to present the translation and localization project from English into Chinese of a series of texts produced by Bioretics© S.r.l.: an investor deck, the company website and part of the installation and use manual of the Aliquis© framework software, its flagship product. This dissertation is structured as follows: Chapter 1 presents the project and the company in detail; Chapter 2 outlines the internationalization and globalization processes and the Artificial Intelligence market both in Italy and in China; Chapter 3 provides the theoretical foundations for every aspect related to Specialized Translation, including website localization; Chapter 4 describes the resources and tools used to perform the translations; Chapter 5 proposes an analysis of the source texts; Chapter 6 is a commentary on translation strategies and choices

    Data ethics : building trust : how digital technologies can serve humanity

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    Data is the magic word of the 21st century. As oil in the 20th century and electricity in the 19th century: For citizens, data means support in daily life in almost all activities, from watch to laptop, from kitchen to car, from mobile phone to politics. For business and politics, data means power, dominance, winning the race. Data can be used for good and bad, for services and hacking, for medicine and arms race. How can we build trust in this complex and ambiguous data world? How can digital technologies serve humanity? The 45 articles in this book represent a broad range of ethical reflections and recommendations in eight sections: a) Values, Trust and Law, b) AI, Robots and Humans, c) Health and Neuroscience, d) Religions for Digital Justice, e) Farming, Business, Finance, f) Security, War, Peace, g) Data Governance, Geopolitics, h) Media, Education, Communication. The authors and institutions come from all continents. The book serves as reading material for teachers, students, policy makers, politicians, business, hospitals, NGOs and religious organisations alike. It is an invitation for dialogue, debate and building trust! The book is a continuation of the volume “Cyber Ethics 4.0” published in 2018 by the same editors

    Regulating competition in the digital network industry: A proposal for progressive ecosystem regulation

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    The digital sector is a cornerstone of the modern economy, and regulating digital enterprises can be considered the new frontier for regulators and competition authorities. To capture and address the competitive dynamics of digital markets we need to rethink our (competition) laws and regulatory strategies. The thesis develops new approaches to regulating digital markets by viewing them as part of a network industry. By combining insights from our experiences with existing regulation in telecommunications with insights from economics literature and management theory, the thesis concludes by proposing a new regulatory framework called ‘progressive ecosystem regulation’. The thesis is divided in three parts and has three key findings or contributions. The first part explains why digital platforms such as Google’s search engine, Meta’s social media platforms and Amazon’s Marketplace are prone to monopolization. Here, the thesis develops a theory of ‘digital natural monopoly’, which explains why competition in digital platform markets is likely to lead to concentration by its very nature.The second part of the thesis puts forward that competition in digital markets persists, even if there is monopoly in a market. Here, the thesis develops a conceptual framework for competition between digital ecosystems, which consists of group of actors and products. Digital enterprises compete to carve out a part of the digital network industry where they can exert control, and their strong position in a platform market can be used offensively or defensively to steer competition between ecosystems. The thesis then sets out four phases of ecosystem competition, which helps to explain when competition in the digital network industry is healthy and when it is likely to become problematic.The third and final part of the thesis brings together these findings and draws lessons from our experiences of regulating the network industry for telecommunications. Based on the insights developed in the thesis it puts forward a proposal for ‘progressive ecosystem regulation’. The purpose of this regulation is to protect and empower entrants from large digital ecosystems so that they can develop new products and innovate disruptively. This regulatory framework would create three regulatory pools: a heavily regulated, lightly regulated and entrant pool. The layered regulatory framework allows regulators to adjust who receives protection under the regulation and who faces the burdens relatively quickly, so that the regulatory framework reflects the fast pace of innovation and changing nature of digital markets. With this proposal, the thesis challenges and enriches our existing notions on regulation and specifically how we should regulate digital markets

    MAINSTREAM MEDIA COVERAGE (UK) OF ESPORTS TOURNAMENT THE ‘EPREMIER LEAGUE’ FINALS 2019 AND 2021. A MIXED-METHODS STUDY.

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    This study investigates the factors limiting mainstream media coverage of esports in the UK, specifically focusing on EA Sports' FIFA Series. The research aims to assess the current landscape of esports journalism, mainstream media perception, familiarity with the term 'esports', content categorisation, coverage extent, live event viewership, and potential barriers and opportunities for increased exposure. Despite the growing academic interest in esports, there is a noticeable gap in research regarding mainstream media coverage of esports in UK newspaper and broadcast journalism and of esports journalism. This project's critical analysis therefore of esports journalism offers a timely and original contribution to understanding the relationship between mainstream UK media and the niche esports broadcast/ journalism sector, and the factors influencing the sector’s limited exposure. Employing a mixed-methods approach, this study combines quantitative and qualitative data collection methods such as surveys, content analysis, and interviews. Focusing on mainstream media coverage of esports, the research utilises Rogers' Diffusion of Innovation Theory (2003) and Tidd and Bessant’s 4Ps of Innovation Model (2021) to explore the potential for esports to become a sustainable sector in the UK's digital economy. The study concentrates on the UK tournament the 'ePremier League' 2019 and 2021 and its reception by UK mainstream media, examining the relationship between traditional and new media platforms. The findings reveal a lack of significant value for esports in UK mainstream media, distrust of mainstream media within the esports sector, and a discrepancy in the categorisation of esports content between mainstream and esports media. This study highlights the need for independent investigative reporting and improved understanding of the esports sector within mainstream media to foster its growth and acceptance. The results hold considerable significance for various stakeholders, including publishers, policymakers, and analysts. For instance, the National Union of Journalists and the British Association of Journalists will find the insights on current journalistic practices valuable. Educational organisations such as the National Training Council of Journalists will appreciate findings regarding the importance of professional training for journalists. Likewise, mainstream broadcasters and esports media, including SKY Sports and Gfinity, will be interested in findings related to live streaming and broadcasting live esports events

    Regulating competition in the digital network industry: A proposal for progressive ecosystem regulation

    Get PDF
    The digital sector is a cornerstone of the modern economy, and regulating digital enterprises can be considered the new frontier for regulators and competition authorities. To capture and address the competitive dynamics of digital markets we need to rethink our (competition) laws and regulatory strategies. The thesis develops new approaches to regulating digital markets by viewing them as part of a network industry. By combining insights from our experiences with existing regulation in telecommunications with insights from economics literature and management theory, the thesis concludes by proposing a new regulatory framework called ‘progressive ecosystem regulation’. The thesis is divided in three parts and has three key findings or contributions. The first part explains why digital platforms such as Google’s search engine, Meta’s social media platforms and Amazon’s Marketplace are prone to monopolization. Here, the thesis develops a theory of ‘digital natural monopoly’, which explains why competition in digital platform markets is likely to lead to concentration by its very nature.The second part of the thesis puts forward that competition in digital markets persists, even if there is monopoly in a market. Here, the thesis develops a conceptual framework for competition between digital ecosystems, which consists of group of actors and products. Digital enterprises compete to carve out a part of the digital network industry where they can exert control, and their strong position in a platform market can be used offensively or defensively to steer competition between ecosystems. The thesis then sets out four phases of ecosystem competition, which helps to explain when competition in the digital network industry is healthy and when it is likely to become problematic.The third and final part of the thesis brings together these findings and draws lessons from our experiences of regulating the network industry for telecommunications. Based on the insights developed in the thesis it puts forward a proposal for ‘progressive ecosystem regulation’. The purpose of this regulation is to protect and empower entrants from large digital ecosystems so that they can develop new products and innovate disruptively. This regulatory framework would create three regulatory pools: a heavily regulated, lightly regulated and entrant pool. The layered regulatory framework allows regulators to adjust who receives protection under the regulation and who faces the burdens relatively quickly, so that the regulatory framework reflects the fast pace of innovation and changing nature of digital markets. With this proposal, the thesis challenges and enriches our existing notions on regulation and specifically how we should regulate digital markets

    Passive IoT Device-Type Identification Using Few-Shot Learning

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    The ever-growing number and diversity of connected devices have contributed to rising network security challenges. Vulnerable and unauthorized devices may pose a significant security risk with severe consequences. Device-type identification is instrumental in reducing risk and thwarting cyberattacks that may be caused by vulnerable devices. At present, IoT device identification methods use traditional machine learning or deep learning techniques, which require a large amount of labeled data to generate the device fingerprints. Moreover, these techniques require building a new model whenever a new device is introduced. To address these limitations, we propose a few-shot learning-based approach on siamese neural networks to identify IoT device-type connected to a network by analyzing their network communications, which can be effective under conditions of insufficient labeled data and/or resources. We evaluate our method on data obtained from real-world IoT devices. The experimental results show the effectiveness of the proposed method even with a small amount of data samples. Besides, it indicates that our approach outperforms IoT Sentinel, the state-of-the-art approach for IoT fingerprinting, by a margin of 10% additional accuracy

    The Impact of Artificial Intelligence on the Cybersecurity Industry

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    As our world becomes more digitalized, cyber criminals have an increasing landscape to launch their attacks. Developments in Artificial Intelligence are being used both to attack and defend networks, therefore, what is the next step for cybersecurity companies when it comes to beating these criminals? A study was conducted that utilizes previous literature sources written on the topic of Artificial Intelligence (AI) in the cybersecurity industry. In addition, the insights of professionals in the industry today are included through a survey and interviews to dive into the details of this battle and what lays in its future. The purpose of this study is to educate the public on the current role of AI in the industry, as it is a relatively new advancement that is slowly becoming mainstreamed. Preliminary research has shown that Artificial Intelligence may be the key to defeating these criminals, but there is much to discuss in terms of the use of this technology by cyber attackers, how it is being implemented into defense mechanisms, and the issues in the industry that may prevent this technology from growing as fast as it could be. Results from this research show that AI has a positive impact on the cybersecurity industry, but there are challenges with its implementation that have prevented it from becoming truly mainstreamed. However, as cyberattacks continue to evolve, AI will be key to winning the battle in this technology arms race

    Trademarks in an Algorithmic World

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    According to the sole normative foundation for trademark protection—“search costs” theory—trademarks transmit useful information to consumers, enabling an efficient marketplace. The marketplace, however, is in the midst of a fundamental change. Increasingly, retail is virtual, marketing is data-driven, and purchasing decisions are automated by AI. Predictive analytics are changing how consumers shop. Search costs theory no longer accurately describes the function of trademarks in this marketplace. Consumers now have numerous digital alternatives to trademarks that more efficiently provide them with increasingly accurate product information. Just as store shelves are disappearing from consumers’ retail experience, so are trademarks disappearing from their product search. Consumers may want to buy a product where the brand is the essential feature of the product such that the brand is the product, but they no longer need the assistance of a trademark to find the product. By reflexively continuing to protect trademarks in the name of search costs theory, courts give only lip service to consumer interests without questioning whether trademarks are fulfilling any useful information function. In many cases, trademarks may actually misinform consumers by masking the identity of the producer or its distanced relationship with the trademark owner. Without having deliberately decided to do so, trademark law is now protecting “brands as property” without any supportive normative rationale. Removing the veil of search costs theory will enable courts to consider whether trademark protection is justified in particular cases

    A Study of Scams and Frauds using Social Engineering in “The Kathmandu Valley” of Nepal

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    Social Engineering scams are common in Nepal. Coupled with inability of government to enforce policies over technology giants and large swaths of population that are uneducated, social engineering scams and frauds are a real issue. The purpose of the thesis is to find out the extent and impact of social engineering attacks in “The Kathmandu valley” of Nepal. The Kathmandu valley consists of 3 cities including the capital city of Nepal. To conduct the research, the newspaper “The Kathmandu Post” from the year 2019 to 2022 was downloaded and searched for keywords “scam” and “fraud”. After which the results were manually examined to separate news reports of social engineering attacks in Nepal and other countries. Also, a survey was conducted by visiting parks in the Kathmandu valley. A total of 149 people were interviewed to collect data by asking 21 questions regarding social engineering attack faced by the interviewee. Further, literature review of the research papers published related to social engineering and phishing was conducted. The main finding of the thesis was that public awareness program are effective reducing the extent and impact of social engineering attacks in Nepal. The survey suggests large percentage of population have become victims of social engineering attack attempts. More than 70 percent have received messages on WhatsApp regarding fake lottery wins
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