Liangfei Qiu – författare
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3 produkter
3 produkter
Social Media Analytics and Practical Applications
The Change to the Competition Landscape
Inbunden, Engelska, 2022
781 kr
Skickas inom 10-15 vardagar
Social Media Analytics and Practical Applications: The Change to the Competition Landscape provides a framework that allows you to understand and analyze the impact of social media in various industries. It illustrates how social media analytics can help firms build transformational strategies and cope with the challenges of social media technology. By focusing on the relationship between social media and other technology models, such as wisdom of crowds, healthcare, fintech and blockchain, machine learning methods, and 5G, this book is able to provide applications used to understand and analyze the impact of social media. Various industries are called out and illustrate how social media analytics can help firms build transformational strategies and at the same time cope with the challenges that are part of the landscape. The book discusses how social media is a driving force in shaping consumer behavior and spurring innovations by embracing and directly engaging with consumers on social media platforms. By closely reflecting on emerging practices, the book shows how to take advantage of recent advancements and how business operations are being revolutionized.Social Media Analytics and Practical Applications is written for academicians and professionals involved in social media and social media analytics.
Social Media Analytics and Practical Applications
The Change to the Competition Landscape
Häftad, Engelska, 2024
294 kr
Skickas inom 10-15 vardagar
Social Media Analytics and Practical Applications: The Change to the Competition Landscape provides a framework that allows you to understand and analyze the impact of social media in various industries. It illustrates how social media analytics can help firms build transformational strategies and cope with the challenges of social media technology. By focusing on the relationship between social media and other technology models, such as wisdom of crowds, healthcare, fintech and blockchain, machine learning methods, and 5G, this book is able to provide applications used to understand and analyze the impact of social media. Various industries are called out and illustrate how social media analytics can help firms build transformational strategies and at the same time cope with the challenges that are part of the landscape. The book discusses how social media is a driving force in shaping consumer behavior and spurring innovations by embracing and directly engaging with consumers on social media platforms. By closely reflecting on emerging practices, the book shows how to take advantage of recent advancements and how business operations are being revolutionized.Social Media Analytics and Practical Applications is written for academicians and professionals involved in social media and social media analytics.
1 652 kr
Skickas inom 10-15 vardagar
This book examines a critical yet under-theorized area of contemporary business: the intersection of corporate social media and artificial intelligence (AI). It constructs a dual-framework—internal affairs and external affairs—that reframes corporate social media not merely as a communication tool, but as a strategic engine for organizational intelligence, coordination, and competitive positioning.Grounded in history and informed by modern analytics, the book argues that organizations, like empires, must excel in managing both internal harmony and external diplomacy. In today’s AI-powered, hyper-networked world, this imperative plays out on social media platforms.Part 1 provides an introduction to the concept of AI-empowered corporate social media. Part 2 addresses the external affairs of corporate social media, including its role in shaping customer relationships, marketing narratives, and public trust. Part 3 turns inward, exploring how enterprise social media platforms like Slack, Teams, and internal forums are reshaping organizational knowledge flows, performance feedback, and collaboration.The author takes a bold and necessary detour into the limits of AI and big data, making a strong case for the integration of causal reasoning alongside correlation-based analytics.Through compelling historical analogies—from John Snow’s epidemiological breakthroughs to Toyota’s recall crisis—this book illustrates the dangers of drawing premature conclusions from spurious patterns. This critique is both timely and essential, especially as business leaders increasingly rely on opaque machine-learning systems for decision-making.