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  • Sách/Book

  • Technology and business model innovation : challenges and opportunities/ International Conference on Business and Technology

    • Authors: Bahaaeddin Alareeni (2024)

  • This book proceedings addresses a crucial gap in understanding the impact of technology on Business Model Innovation (BMI). It emphasizes the need for further research to explore the intricate relationship between technology and BMI, focusing on opportunities and challenges. By delving into how technology influences emerging business model innovations and enhances operational efficiency, the publication aims to advance knowledge. Inviting diverse research methods, it sheds light on various ideas within the technology and BMI realm.
  • Sách/Book

  • FinTech : finance, technology, and regulation

    • Authors: Ross P. Buckley (2024)

  • Examines how finance is being transformed by technology and innovation including AI, blockchain, BigData, cloud computing, cryptocurrencies, central bank digital currencies, and distributed ledger technology. Explores how societies can best benefit from, and how regulators and policymakers might best approach, the FinTech revolution
  • Sách/Book

  • Sustainable logistics and supply chain management : principles and practices for sustainable operations and management

    • Authors: David B Grant (2023)

  • Sustainable Logistics and Supply Chain Management is an essential textbook for undergraduate and postgraduate students for understanding sustainability as it pertains to logistics operations. This book covers the direct environmental impacts of logistics and supply chain processes, including emissions and waste, as well as how wider changes such as globalization need to be given similar considerations. Presenting different pathways to guide readers, case studies and supported by extensive research, this book provides all the support needed to understand and implement a sustainable approach
  • Sách/Book

  • Global investing : a practical guide to the world’s best financial opportunities

    • Authors: Darrin Erickson (2023)

  • This book discusses the pros and cons of investing outside of one's home region, and why all investors should invest globally. This book will serve as a practical guide to global investing. It will benefit both inexperienced and experienced investors and will be written in a way that is easily understood by all
  • Sách/Book

  • Successful negotiations : best-in-class recommendations for breakthrough negotiations

    • Authors: Marc Helmold (2022)

  • This book provides a valuable overview of concrete negotiations in industry and business and shows ways to achieve successful negotiation breakthroughs. It brings together the aspects of negotiation preparation, negotiation execution, negotiation psychology, and negotiation success that have often been perceived separately until now. The authors provide helpful recommendations for effectively taking into account intercultural elements as well. This book is particularly interesting for employees in development, quality management, purchasing, production, marketing and sales who negotiate prices, performance characteristics of products and services and quality characteristics with customers or suppliers.
  • Sách/Book

  • The sage handbook of digital marketing

    • Authors: Annmarie Hanlon (2022)

  • This Handbook strives to advance the study and understanding of this domain and provides a digital marketing journey that flows from methods and methodologies. It moves from the fundamentals to the different aspects of digital marketing strategy, tactics, metrics and management, and ethics
  • Sách/Book

  • Machine learning for business analytics : concepts, techniques and applications in RapidMiner

    • Authors: Galit Shmueli (2023)

  • Machine learning--also known as data mining or data analytics-- is a fundamental part of data science. It is used by organizationsin a wide variety of arenas to turn raw data into actionableinformation. Machine Learning for Business Analytics: Concepts, Techniques, and Applications in RapidMiner provides a comprehensive introduction and an overview of this methodology. This best-selling textbook covers both statistical and machine learning algorithms for prediction, classification, visualization, dimension reduction, rule mining, recommendations, clustering, text mining, experimentation and network analytics. Along with hands-on exercises and real-life case studies, it also discusses managerial and ethical issues for responsible use of machine learning techniques