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HANDBOOK OF RESEARCH ON APPLIED AI FOR INTERNATIONAL BUSINESS AND MARKETING APPLICATIONS [[electronic resource].]. — [S.l.]: BUSINESS SCIENCE REFERENC, 2020. — 1 online resource — <URL:http://elib.fa.ru/ebsco/2597868.pdf>.

Дата создания записи: 07.09.2020

Тематика: Automation — Management.; Technological innovations — Management.; Artificial intelligence — Industrial applications.

Коллекции: EBSCO

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Аннотация

Artificial intelligence (AI) describes machines/computers that mimic cognitive functions that humans associate with other human minds, such as learning and problem solving. As businesses have evolved to include more automation of processes, it has become more vital to understand AI and its various applications. Additionally, it is important for workers in the marketing industry to understand how to coincide with and utilize these techniques to enhance and make their work more efficient. The Handbook of Research on Applied AI for International Business and Marketing Applications is a critical s.

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Оглавление

  • Cover
  • Title Page
  • Copyright Page
  • Book Series
  • Editorial Advisory Board
  • List of Contributors
  • Table of Contents
  • Detailed Table of Contents
  • Foreword
  • Preface
  • Chapter 1: Artificial Intelligence, Marketing, and the Fourth Industrial Revolution
  • Chapter 2: New Marketing Strategy
  • Chapter 3: Reinforcement Learning in Social Media Marketing
  • Chapter 4: Importance of Applying Big Data Concept in Marketing Decision Making
  • Chapter 5: Marketing and Artificial Intelligence
  • Chapter 6: The Impact of AI on Disintermediation Processes in the Tourism Industry
  • Chapter 7: Governing by Humans, Not by Robots
  • Chapter 8: Economic AI Literacy
  • Chapter 9: Finance in the World of Artificial Intelligence and Digitalization
  • Chapter 10: Fuzzy Logic in Portfolio Selection
  • Chapter 11: Business Intelligence
  • Chapter 12: Artificial Intelligence and Supply Chain Management Application, Development, and Forecast
  • Chapter 13: Artificial Intelligence and Backshoring Strategies
  • Chapter 14: Bargaining Chip
  • Chapter 15: Finding the Solution of Balanced and Unbalanced Intuitionistic Fuzzy Transportation Problems by Using Different Methods With Some Software Packages
  • Chapter 16: Use of Finite Markov Chains in Business Problems Involving Decision Making and Case-Based Reasoning
  • Chapter 17: Risk Management in the Oil and Gas Industry Related to the AI Tools
  • Chapter 18: Non-Invasive Personalized In-Store Location-Based Marketing
  • Chapter 19: Modeling Sovereign Rating of India
  • Chapter 20: Study on Indian Stock Market Performance Based on Commodities
  • Chapter 21: The Impact of Augmented Reality Experiential Marketing on Tourist Experience Satisfaction
  • Chapter 22: Convolutional Neural Networks for Real-Time Eye Tracking in Interactive Applications
  • Chapter 23: Determining the Motives and Behaviors of Brand Hate
  • Chapter 24: Evaluation of LPI Values of Transition Economies Countries With a Grey MCDM Model
  • Chapter 25: Extremely Fast Heuristic Event-Driven Job Shop Scheduler With a New Class of Extended Petri Nets
  • Chapter 26: Artificial Intelligence Applications in Accounting and Financial Reporting Systems
  • Chapter 27: A Research on Hedonic and Utilitarian Consumption Behavior of Young Consumers on Big Discount Days
  • Chapter 28: Credit Scoring
  • Compilation of References
  • About the Contributors
  • Index

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