Call For Papers

The ICDANPE aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Procurement Engineering, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Data analytics for procurement decision-making
  • Predictive analytics in supply chain management
  • Big data applications in procurement engineering
  • Challenges in data-driven procurement strategies
  • Supplier performance evaluation using analytics
  • Data visualization tools for procurement insights
  • Impact of analytics on procurement efficiency
  • Machine learning in procurement processes
  • Case studies on successful data analytics
  • Real-time data usage in procurement
  • Data governance in procurement analytics
  • Integrating analytics into procurement workflows
  • Future trends in procurement analytics
  • Ethics of data usage in procurement
  • Training for data analytics in procurement
  • Collaboration through data sharing in supply chains
  • Impact of data quality on procurement outcomes
  • Best practices for analytics-driven procurement
  • Evaluating ROI of analytics in procurement
  • Data security in procurement analytics

Assessment

Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.

Registration

Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.

Publication

All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.

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