EENI Global Business School

AI and Cross-Cultural Management. Ethical challenges


African Students (Masters, Courses, Foreign Trade, Business)
Masters in International Business and Foreign Trade (MIB AI) MIB and APEL (Accreditation of Prior Experiential Learning)
Doctorate in International Business (DIB AI) Online MIB and APEL (Accreditation of Prior Experiential Learning)
Artificial Intelligence (AI) for Global Business (Online Course
Global Transport and Logistics
We Trust in Africa (Affordable Higher Education for Africans)
Harmony of Religions. Sri Ramakrishna Principle and Global Business
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Cross-cultural considerations in ethical AI (Artificial Intelligence)

Artificial Intelligence (AI) for Global Business (Online Course
Course: AI for Global Business

AI Introduction, Technologies, Global Trade,  Strategy, Supply Chain, Digital Trade, Marketing, Cross-Cultural, Finance, Ethical, Sustainability, Future Trends, Global Ethics

This subject explores the intersection of Artificial Intelligence (AI) and Intercultural Management. As businesses expand globally and AI technology advances, the need for culturally aware, data-driven management strategies becomes increasingly important.

This subject objectives to equip students with both theoretical and practical tools to effectively manage diverse teams, leverage AI in a global context, and understand how cultural nuances influence the adoption and application of AI technologies in different regions.

Syllabous

  1. Introduction to AI and Cross-Cultural Management
    1. Case Study: Coca-Cola and AI in Cross-Cultural Management
  2. Cross-cultural considerations in ethical AI
    1. Case Study: AI in Facial Recognition Technology
  3. AI in understanding cultural nuances (NLP for multilingual communication)
    1. Case Study: AI-Powered Multilingual Customer Support for a Global e-commerce Company
  4. Managing global teams with AI tools (collaboration platforms, performance analytics)
    1. Case Study: GlobalTech's AI-Driven Approach to Managing Global Teams
  5. Ethical challenges in cross-cultural AI deployment
    1. Case Study: The Deployment of Facial Recognition Technology in China
  6. Is AI regulation helping or hurting innovation?
    1. Case Study: The European Union’s AI Act
  7. Cultural influence of religion in global business
    1. Religion and ethical frameworks
    2. Religious differences and ethical conflicts
    3. Business strategies to successfully adapt to religious diversity

E-learning Courses, Diplomas (Global Business, Foreign Trade)

The Subject “AI and Cross-Cultural Management” is included within the curriculum of the following academic programs at EENI Global Business School:

Postgraduate Certificate in Global Marketing.

Professional Certificate in Global Marketing and Internationalization

Masters: International Business, Foreign Trade, International Transport, Logistics in Africa, Business in Africa.

Masters in International Business and Foreign Trade (MIB AI)

Doctorate: World Trade, Global Logistics, African Business, Global Ethics, Religions, and International Business

Doctorate in International Business (DIB AI) Online

Languages: Masters, Doctorate, International Business, English or Study Master Doctorate in International Business in Spanish IA y negociación intercultural Study Doctorate in International Business in French L'IA et la gestion interculturelle Masters Foreign Trade in Portuguese IA e negociação intercultural.


1. Introduction to AI in Management:

  1. Understanding AI technologies (Machine Learning, Natural Language Processing, Automation, etc.)
  2. The role of AI in modern business decision-making
  3. Ethical considerations and challenges in the use of AI

2. Cross-Cultural Management Basics:

  1. Definition and importance of cross-cultural management
  2. Cultural dimensions (Hofstede's Cultural Dimensions, Trompenaars' Model, etc.)
  3. Communication styles and leadership across cultures
    1. Faith-Sensitive Business Leadership
    2. Faith-based Marketing

3. AI and Cultural intelligence:

  1. How AI tools can be used to enhance cultural intelligence (CQ)
  2. o Adapting AI systems to local cultural contexts
  3. Managing diverse teams with AI-powered tools

4. AI in Global Human Resource Management:

  1. Recruitment, talent management, and performance evaluations using AI
  2. Addressing cultural biases in AI algorithms
  3. AI’s role in fostering inclusivity in cross-cultural teams

5. AI and Decision Making in Cross-Cultural Contexts:

  1. Data-driven decision-making across diverse cultural landscapes
  2. Managing conflicts, negotiations, and partnerships using AI insights
  3. Case studies of successful cross-cultural management with AI tools

6. AI’s Impact on Global Strategy and Marketing:

  1. Personalization in global marketing through AI
  2. Customer relationship management in culturally diverse markets
  3. Leveraging AI for competitive advantage in International Business

7. Challenges and Future Directions:

  1. Overcoming resistance to AI adoption in culturally diverse teams
  2. The future of AI in global management practices
  3. Balancing AI efficiency with human touch in cross-cultural settings

(c) EENI Global Business School (1995-2025)
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