Jerzy Gołuchowski – författare

Trust, Digital Business and Technology: Issues and Challenges presents and discusses the main issues and challenges related to digital trust and information technologies. The subject of trust is relevant to both practitioners and researchers. It is widely recognized and confirmed that trust, especially mutual trust, when it is built at the right level, reduces the risk of interaction and increases the collaboration between partners. Readers will gain from this book theoretical and practical knowledge on digital trust; theoretically, well-grounded knowledge on digital trust and related concepts, empirically validated by practice. Most authors have taken innovative approaches to consider issues highlighting a selected aspect of the core theme of this book. The intended audiences of this book are professionals, scholars, and students.

Trust, Digital Business and Technology: Issues and Challenges presents and discusses the main issues and challenges related to digital trust and information technologies. The subject of trust is relevant to both practitioners and researchers. It is widely recognized and confirmed that trust, especially mutual trust, when it is built at the right level, reduces the risk of interaction and increases the collaboration between partners. Readers will gain from this book theoretical and practical knowledge on digital trust; theoretically, well-grounded knowledge on digital trust and related concepts, empirically validated by practice. Most authors have taken innovative approaches to consider issues highlighting a selected aspect of the core theme of this book. The intended audiences of this book are professionals, scholars, and students.

Trust is important – it influences new technologies adoption and learning, enhances using social media, new technologies, IoT, and blockchain, and it contributes to the practical implementations of cybersecurity policy in organizations. This edited research volume examines the main issues and challenges associated with privacy and trust on social media in a manner relevant to both practitioners and scholars. Readers will gain knowledge across disciplines on trust and related concepts, theoretical underpinnings of privacy issues and trust on social media, and empirically-validated trust-building practice on social media. Social Media, Privacy Issues and Trust-building aims to bring together the theory and practice of social media, privacy issues, and trust. It offers a look at the current state of trust and privacy, including a comprehensive overview of both research and practical applications. It shows the latest state of knowledge on the topic and will be of interest to researchers, students at an advanced level, and academics, in the fields of business ethics, entrepreneurship, management of technology and innovation, marketing, and information management. Practitioners can also use the book as a toolbox to improve their understanding and promote opportunities related to building social media trust while taking into consideration of privacy issues.

Trust is important – it influences new technologies adoption and learning, enhances using social media, new technologies, IoT, and blockchain, and it contributes to the practical implementations of cybersecurity policy in organizations. This edited research volume examines the main issues and challenges associated with privacy and trust on social media in a manner relevant to both practitioners and scholars. Readers will gain knowledge across disciplines on trust and related concepts, theoretical underpinnings of privacy issues and trust on social media, and empirically-validated trust-building practice on social media. Social Media, Privacy Issues and Trust-building aims to bring together the theory and practice of social media, privacy issues, and trust. It offers a look at the current state of trust and privacy, including a comprehensive overview of both research and practical applications. It shows the latest state of knowledge on the topic and will be of interest to researchers, students at an advanced level, and academics, in the fields of business ethics, entrepreneurship, management of technology and innovation, marketing, and information management. Practitioners can also use the book as a toolbox to improve their understanding and promote opportunities related to building social media trust while taking into consideration of privacy issues.

In order to make informed decisions, there are three important elements: intuition, trust, and analytics. Intuition is based on experiential learning and recent research has shown that those who rely on their “gut feelings” may do better than those who don’t. Analytics, however, are important in a data-driven environment to also inform decision making. The third element, trust, is critical for knowledge sharing to take place. These three elements—intuition, analytics, and trust—make a perfect combination for decision making. This book gathers leading researchers who explore the role of these three elements in the process of decision-making.

Trust and Artificial Intelligence: Development and Application of AI Technology explores the crucial role of trust in the development and application of artificial intelligence (AI) technology. The book discusses the challenges and opportunities associated with building trust in AI systems and highlights the importance of transparency, accountability, and ethics in creating trustworthy AI. Drawing on the latest research and case studies, the book provides valuable insights and practical strategies for building trust in AI that can be applied by developers, policymakers, and end-users. It is a must-read for anyone interested in the intersection of technology and society and the future of artificial intelligence.Across its two distinct sections, the book delves deep into both theoretical frameworks and real-world applications. Section I, "Trust in Artificial Intelligence Technology," comprises 12 insightful chapters, each shedding light on different aspects of trust in AI. From ethical considerations and the credibility of AI systems to the intricacies of blockchain technology and digital therapists, the book offers a kaleidoscope of perspectives, showcasing how trust shapes and is shaped by AI advancements. Section II, "Trust in Artificial Intelligence Technology Applications," extends the discourse to practical implications and case studies. With 12 additional chapters, it scrutinizes the impact of AI on diverse sectors such as healthcare, agriculture, the labor market, and online shopping. It contemplates the trust dynamics in neural networks, public sector AI, and the burgeoning field of last-mile logistics.The book is more than just an academic text; it is a vital conversation starter in the ever-evolving discourse of AI. It challenges us to rethink our relationship with technology, underlining the critical role of trust in harnessing the full potential of AI for a better, more efficient, and ethically sound future.

Trust and Artificial Intelligence: Development and Application of AI Technology explores the crucial role of trust in the development and application of artificial intelligence (AI) technology. The book discusses the challenges and opportunities associated with building trust in AI systems and highlights the importance of transparency, accountability, and ethics in creating trustworthy AI. Drawing on the latest research and case studies, the book provides valuable insights and practical strategies for building trust in AI that can be applied by developers, policymakers, and end-users. It is a must-read for anyone interested in the intersection of technology and society and the future of artificial intelligence.Across its two distinct sections, the book delves deep into both theoretical frameworks and real-world applications. Section I, "Trust in Artificial Intelligence Technology," comprises 12 insightful chapters, each shedding light on different aspects of trust in AI. From ethical considerations and the credibility of AI systems to the intricacies of blockchain technology and digital therapists, the book offers a kaleidoscope of perspectives, showcasing how trust shapes and is shaped by AI advancements. Section II, "Trust in Artificial Intelligence Technology Applications," extends the discourse to practical implications and case studies. With 12 additional chapters, it scrutinizes the impact of AI on diverse sectors such as healthcare, agriculture, the labor market, and online shopping. It contemplates the trust dynamics in neural networks, public sector AI, and the burgeoning field of last-mile logistics.The book is more than just an academic text; it is a vital conversation starter in the ever-evolving discourse of AI. It challenges us to rethink our relationship with technology, underlining the critical role of trust in harnessing the full potential of AI for a better, more efficient, and ethically sound future.

Trust, Media and the Economy: Mutual Relations delves into the critical relationships between trust, media, and economic behavior. This book explores how trust in media influences economic decisions and how economic conditions impact media trustworthiness. Divided into two parts, it first examines the role of trust within media channels, addressing topics such as the impact of clickbait, the role of user-generated content, and trust dynamics across generations. The second part focuses on how trusted communication affects economic outcomes, discussing social media’s role in economic communication, the influence of financial influencers, and trust-based marketing.The book features case studies from around the world, including Poland, France, and the United States, providing a broad geographical perspective. It includes topical issues such as the trust dynamics in YouTube communities and greenwashing practices. The contributors’ diverse expertise ensures a comprehensive analysis that is accessible to non-specialists, making it a valuable resource for booksellers, librarians, and general readers interested in media and economics. By shedding light on these interactions, the book offers groundbreaking insights into developing more reliable media practices and stronger economic trust foundations.

Trust, Media and the Economy: Mutual Relations delves into the critical relationships between trust, media, and economic behavior. This book explores how trust in media influences economic decisions and how economic conditions impact media trustworthiness. Divided into two parts, it first examines the role of trust within media channels, addressing topics such as the impact of clickbait, the role of user-generated content, and trust dynamics across generations. The second part focuses on how trusted communication affects economic outcomes, discussing social media’s role in economic communication, the influence of financial influencers, and trust-based marketing.The book features case studies from around the world, including Poland, France, and the United States, providing a broad geographical perspective. It includes topical issues such as the trust dynamics in YouTube communities and greenwashing practices. The contributors’ diverse expertise ensures a comprehensive analysis that is accessible to non-specialists, making it a valuable resource for booksellers, librarians, and general readers interested in media and economics. By shedding light on these interactions, the book offers groundbreaking insights into developing more reliable media practices and stronger economic trust foundations.

In an era where generative artificial intelligence (AI) is reshaping industries and daily life, trust has become a cornerstone for its successful adoption and application. Building Trust in the Generative Artificial Intelligence Era: Technology Challenges and Innovations explores how trust can be built, maintained, and evaluated in a world increasingly reliant on AI technologies. Designed to be accessible to a broad audience, thi book blends theoretical insights with practical approaches, offering readers a comprehensive understanding of the topic.This book is divided into three parts. The first part examines the foundations of trust in generative AI, highlighting trends and ethical challenges such as "greenwashing" and remote work dynamics. The second part provides actionable frameworks and tools for assessing and enhancing trust, focusing on topics like cybersecurity, transparency, and explainability. The final section presents global case studies exploring university students' perceptions of ChatGPT, generative AI's applications in European agriculture, and its transformative impact on financial systems.By addressing both the opportunities and risks of generative AI, this book delivers groundbreaking insights for academics, professionals, and policymakers worldwide. It emphasizes practical solutions, ensuring readers gain the knowledge needed to navigate the evolving technological landscape and foster trust in transformative AI systems.

In order to make informed decisions, there are three important elements: intuition, trust, and analytics. Intuition is based on experiential learning and recent research has shown that those who rely on their “gut feelings” may do better than those who don’t. Analytics, however, are important in a data-driven environment to also inform decision making. The third element, trust, is critical for knowledge sharing to take place. These three elements—intuition, analytics, and trust—make a perfect combination for decision making. This book gathers leading researchers who explore the role of these three elements in the process of decision-making.