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Dear Ma'am or Sir:

Could you please distribute the following Call For Chapters to your subscribership at the Academy of International Business for the upcoming publication, Handbook of Research on Applied AI in International Business and Marketing Applications:

http://bit.ly/2lJFVSY

This Call For Chapters has an obviously heavy component on International Business.

Additional Information:

Editors

Bryan Christiansen, Global Training Group, Ltd. (United Kingdom)
Tihana Škrinjarić, University of Zagreb (Croatia)

Call for Chapters

Proposals Submission Deadline: November 18, 2019
Full Chapters Due: January 16, 2020
Submission Date: May 10, 2020

Introduction

Colloquially, the term "artificial intelligence" (AI) is used to describe machines/computers that mimic "cognitive" functions which humans associate with other human minds, such as "learning" and "problem solving". Artificial intelligence can be classified into three different types of systems: analytical, human-inspired, and humanized artificial intelligence. Analytical AI has only characteristics consistent with cognitive intelligence; generating cognitive representation of the world and using learning based on past experience to inform future decisions. Human-inspired AI has elements from cognitive and emotional intelligence; understanding human emotions, in addition to cognitive elements, and considering them in their decision making. Humanized AI shows characteristics of all types of competencies (i.e., cognitive, emotional, and social intelligence), is able to be self-conscious and is self-aware in interactions with others.

Artificial intelligence was founded as an academic discipline in 1956. For most of its history, AI research has been divided into subfields based on technical considerations, such as particular goals (e.g., "robotics" or "machine learning"), the use of particular tools (e.g., "logic" or artificial neural networks), or deep philosophical differences. Subfields have also been based on social factors such as particular institutions or the work of particular researchers. This publication focuses on the various applied uses of AI in the field of international business.


Objective

The objective of this publication is to provide a wide variety of topics as they pertain to artificial intelligence applications within the context of international business in one 2-volume source. This publication will impact the field of international business because there is scant extant literature on artificial intelligence as it pertains to international business.

Target Audience

The primary target audience for this publication is scholars and practitioners who need a Reference resource on artificial intelligence as it pertains to international business and marketing. The secondary audience is graduate students involved in international business and related areas.

Recommended Topics

Artificial Intelligence in International Business
Globalization
Sales & Marketing
Supply Chain Management
Logistics
Operations Management
Export/Import
Choice of Entry Mode
Decision Support
Business Intelligence
Risk Management
Internationalization
Multinational Enterprises
Human Resource Management
Analytics
Reasoning
Problem Solving
Statistical Learning
Optimization
Algorithms
Productivity Improvement
Probabilistic Methods for Uncertain Reasoning
Brain Simulation
Artificial Neural Networks
Machine Learning
Limitations of Artificial Intelligence
Uncertainty
Local and Corporate Cultures
Data Mining
Big Data
Artificial Intelligence Models
Terrorism
Foreign Direct Investment (FDI)
Trade Agreements
Diversification
International Production
Distribution Systems
Trade Relations
Competition
Value Creation
Research & Development (R&D)
Customer Service
International Accounting & Finance
Firm Strategy
Joint Ventures
Franchising
Tariff Barriers
Global Manufacturing
Services
Mergers & Acquisitions (M&A)
Global Synergies
International Contracts
Technological Development
Innovation
Silicon Valley


Submission Procedure

Researchers and practitioners are invited to submit on or before November 18, 2019, a chapter proposal no more than 1,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by November 25, 2019 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by January 16, 2020, and all interested authors must consult the guidelines for manuscript submissions at http://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are NO submission or acceptance fees for manuscripts submitted to this book publication, Managerial Strategies for Navigating Economic Nationalism. All manuscripts are accepted based on a double-blind peer review editorial process.
All proposals should be submitted through the E-Editorial DiscoveryTM online submission manager.


Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. For additional information regarding the publisher, please visit www.igi-global.com. This publication is anticipated to be released in 2020.

Important Dates

Chapter Proposal Deadline: November 18, 2019
Full Chapter Submission: January 16, 2020
Double-Blind Peer Review: January 17 - March 1, 2020
Review Results to Chapter Authors: March 15, 2020
Revisions Due to Editors: April 12, 2020
Final Accepted Materials: May 10, 2020


Inquiries

Bryan Christiansen at: [log in to unmask]

Tihana Škrinjarić at: [log in to unmask]

Regards,

Bryan Christiansen
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