EARC 2021 CONFERENCES

August

01-02, 2021

September

04-05, 2021

October

02-03, 2021

December

04-05, 2021

Multidisciplinary: Social and Management Science

The main areas include the following Multidisciplinary areas but not limited to:

Business law & ethics, Business research methods & teaching-related issues, Growth & innovation, Management science & strategic, operational, production management, International business & management, Innovative business models & organizational change, Consumer behavior & marketing, Information science and technology & business information systems, IT governance & e-business, financing entrepreneurship, healthcare management, Human resource management, Public administration & regional development, Rural development & agribusiness, SME development, Tourism & hospitality, Economic development & globalization, comparative advantages, Development aid , Developing countries & global finance crisis consequences, International migration & development, Islamic insurance (Takaful), Service Science and Innovation, Six Sigma and Quality Management, Small and Medium Enterprises Social impact of technology development, Supply Chain Management, Sustainable Development, Mergers and Acquisitions, Technological innovation, product innovation and industrial innovation. Any other related areas pertaining to any issue which is related such as finance, Accounting, banking, management, marketing, information technology and religious perspectives.

DIVISION 5. Electronic Commerce and the Gig economy

The main areas include the following areas but are not limited to:

- Digital technologies in enabling businesses to adapt to the new normal
- The future of retail: trends and predictions
- Businesses transitioning to online sales and delivery models.
- E-payment systems and digital currencies
- Technology in e-commerce and omnichannel retail
- The future of work: the gig economy and beyond
- Government in regulating gig work and protecting gig workers
- Building a successful gig-based business: strategies and best practices
- Innovation in the gig economy

DIVISION 6. AI in Education and Smart Cities: Transforming Industries and Societies

The main areas include the following areas but are not limited to:

            • Education 4.0: AI and digital innovation in learning
            • Smart cities and digital innovation: AI's role in transformation
            • AI-driven assessment and adaptive learning technologies
            • Addressing ethical considerations in AI-driven education and smart city initiatives

DIVISION 5. Secure and Smart: Cybersecurity in the AI-Driven Digital Innovation Era

The main areas include the following areas but are not limited to:

          • AI revolution and strategies for connected world
          • Cybersecurity in the AI era: Protecting digital innovation
          • Privacy and Data Protection in the Age of AI: Ensuring Trust in Digital Innovation
          • Building Resilient AI Systems: Management Strategies for the Future

DIVISION 4. Ethical AI and Human-Centered Innovation: Shaping the AI Era Responsibly"

The main areas include the following areas but are not limited to:

        • Ethics and governance in the era of AI-driven innovation
        • Human-centered AI: Ethical considerations in digital innovation
        • AI in healthcare: Innovation and ethical practices
        • Explainable AI and interpretability for transparent decision-making

DIVISION 3. Intelligent Enterprises: Digital Innovation in Business and Workforce

The main areas include the following areas but are not limited to:

      • AI-powered future and its role in digital innovation
      • Future of work: AI and innovation in the workforce
      • Data-driven innovation: AI and digital transformation in business

DIVISION 2. Data-Driven Future: Leveraging AI for Global Growth and Impact

The main areas include the following areas but are not limited to:

    • Exploring the frontiers of digital innovation and AI
    • Emerging technologies and AI in digital innovation
    • AI revolution and strategies for connected world
    • AI for good: Solving global challenges through innovation

DIVISION 1. AI-Driven Digital Transformation: Unleashing Innovation in a Connected World

The main areas include the following areas but are not limited to:

• Transformative power of artificial intelligence
• Reshaping industries through digital innovation and AI
• Driving digital transformation with AI
• Ethics and governance in the era of AI-driven innovation

DIVISION 6. Organizational Behaviour and Change Management

The main areas include the following areas but are not limited to:

- Employee engagement and motivation
- Organizational culture and its impact on behaviour and performance
- Leadership styles and their effectiveness
- The psychology of work and motivation
- Communication skills and conflict resolution
- The role of leadership in driving organizational change
- Implementing change effectively: strategies and best practices
- Overcoming resistance to change: strategies and techniques
- Change management in a digital and remote work environment
- The impact of change on employees and the organization
- Measuring and evaluating the success of change initiatives

DIVISION 4. Cybersecurity and privacy concerns

The main areas include the following areas but are not limited to:

- Data protection and privacy regulations in the virtual world
- Secure online communication and collaboration
- Cyber attacks and their prevention
- Data analytics and information ethical issues
- The dark web, fake news, image transformation threats
- Trust in sharing economies and online models
- Privacy laws, secure digital transactions, cloud security, network security
- Emerging technologies such as artificial intelligence and the Internet of Things (IoT)
- Solutions to enhance cybersecurity and protect personal data in the digital age.
- Role of experts, industry leaders, and policymakers to handle current challenges

DIVISION 7. Information systems and New Business Models

The main areas include the following areas but are not limited to:

- Role of innovation in creating new business models
- Disruptive business models: case studies and lessons learned
- Digital transformation and its impact on business models
- Building a business model that is sustainable and scalable
- Emerging technologies in information systems: artificial intelligence, blockchain, Internet of Things (IoT)
- Big data and analytics: applications and implications
- Designing and implementing effective information systems
- The future of dynamic information systems
- Measuring and evaluating the success of new business models

DIVISION 3. Digital Entrepreneurship and Diversity

The main areas include the following areas but are not limited to:

- Diversity and inclusivity in digital entrepreneurship
- Strategies for leveraging digital channels and platforms for entrepreneurship and small business success
- Opportunities and challenges of starting and scaling digital businesses in the new normal.
- Mentorship and networking in promoting digital entrepreneurship.
- New normal and consumer behaviour
- diversity and inclusivity in entrepreneurship
- Strategic implications for diverse digital entrepreneurship models

DIVISION 2. Business Strategy and Innovative Operations

The main areas include the following areas but are not limited to:

- New normal impact on leadership and management practices
- Future of supply chain management and logistics
- Innovative business models and strategies for success in a post-pandemic world.
- Remote work and its impact on organizational structure and culture
- Strategies for navigating economic uncertainty
- Agility and flexibility in the face of rapid change
- Sustainability and corporate social responsibility

Division 1. Open AI in Industry and Academia

The main areas include the following areas but are not limited to:

- Applications of OpenAI in various industries

- Best practices for developing and deploying AI

- Challenges of integrating AI into existing business processes and systems.

- Impact on the job market, workforce development, and academics

- The ethics and responsibility of AI and its impact on society

- Collaboration between industry and academia

- Government and regulatory bodies role in the development and deployment