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ICDABM 2022 : International Conference on Data Analytics in Business and Marketing
ICDABM 2022 : International Conference on Data Analytics in Business and Marketing

ICDABM 2022 : International Conference on Data Analytics in Business and Marketing

New Delhi
Event Date: April 21, 2022 - April 22, 2022
Abstract Submission Deadline: February 10, 2022
Submission Deadline: February 25, 2022
Notification of Acceptance: March 20, 2022
Camera Ready Version Due: March 30, 2022




Call for Papers

The International conference on data analytics in business and marketing (ICDABM2022) is organized by the Commerce Department, Shivaji College, University of Delhi. The conference will be held during April 21,22, 2022 at Shivaji college. This conference will bring together professors, eminent Scientists, research scholars, an impressive array of industry leaders and influencers to create a one-of-a-kind experience. Speakers will be covering a wide range of topics, which means there’s really something for everyone to discover. Check out our full schedule, and send your paper to this Conference. The paper of this conference will double-blind peer-reviewed. We look forward to seeing you at this memorable event.

Submission Guidelines
All papers must be original and not simultaneously submitted to another journal or conference. The Paper will be submitted through easy chair only

List of Topics
Track 1: Business Analytics

Data Analytics with Artificial Intelligence for Business

Data Analytics with AI for Marketing

Data Analytics Programming Models

Big Data applications in Business and Marketing

Placement, scheduling, and optimization of Massive data

Simulation and debugging of massive data systems and tools

Big data processing and analysis

Future Trends in Data Analytics

Digital marketing data analytics

Business intelligence and data analytics

Data analytics in understanding marketing strategy, product development, and consumer behavior

Data analysis and business modeling

Business analytics and decision making

Emerging business intelligence and analytics trends for today business

Understanding the business problem

Track 2: Market Analytics
Marketing Intelligence Integration

Behavioral Analytics

Digital Marketing

Consumer Behavior analysis

Artificial Intelligence and Machine Learning for Marketers targeting and personalization

Analytics to improve customer experience

Marketing mix modeling

Retailing

Consumer psychology

Marketing Intelligence Integration

Product and Brand Management

Service Marketing

Track 3: Big Data Analytics
Big Data mining process

Big Data analytics and algorithm

Creating value with Big data analytics

Big Data Analytics in Business

Big Data Analytics in Marketing

Storage, indexing, and query processing for Big data

Security issues in Big Data Analytics and Cloud

Security, privacy, reliability, and trust in Big Data

Evaluation and optimization of big data

Performance characterization of Big Data

Track 4: Business Intelligence
Life Cycle of Business Analytics Project

Decision support system

Performance management

Contribution of business analytics on strategic planning

Business analytics for supply chain

Mobile Business Intelligence

Data Security

Artificial Intelligence

Track 5: Innovation Entrepreneurship & Contemporary Research in Data Science
Data Science & Social Entrepreneurship

Technology Drive Rural Entrepreneurship

Digital Marketing for Startups

Design Creativity & Innovation

Track 6: Business Technology, Digitalization & E-Commerce
New opportunities in digitalized era in business and management

Technology and COVID-19

Managing Globalization Challenges during COVID-19 times through technology.

Business Model Innovation in New Technologies

Business analytics

E-governance

E-Commerce

E-business

E-Learning

Sentiment analysis techniques on social media

Community Information Systems

Branding through technological tools

Design Synthesis

Innovation & Synergy

Concept Generation & Inspiration

Methods & Tools for Design Creative

Sustainable Business Strategies & Data Science Solution

Committees
Advisory Committee Members
Prof. Vinod SharmaEx-Head, Department of Computer Science and Information Technology, University of Jammu
Prof. Narayan C Debnath, Founding Dean, School of Computing and Information Technology, Eastern International University, Vietnam
Prof. Marco Valeri, Niccolò Cusano University, Rome (Italy)
Prof. Leonardo Aureliano Silva, Management and Marketing, Brazil
Prof. Atul M. GosaiSaurashtra University, Gujarat
Prof. Ranjit BiswasEx-Dean, Jamia Hamdard
Prof. Pavnesh KumarDean, Pandit Madan Mohan Malaviya School of Commerce & Management Sciences, Mahatma Gandhi Central University, Motihari
Prof. Anand Nayyar, Duy Tan University, Da Nang, Vietnam
Prof. Manoj KumarDean, Department of Management, MDS University, Ajmer, Rajasthan
Prof. Ravinder KumarDean, Faculty of Social Science, Jamia Millia Islamia
Prof. Madan Lal, Department of Commerce University of Delhi
Dr. Kannan K, Adjunct Professor, Department of ICT Winway College of Business and Technology, London
Prof. Shaifali Nagpal, Director HRDC, BPS Khanpur, Sonipat
Prof. Yogesh K. Dwivedi, Editor-in-Chief, International Journal of Information Management, Director of Emerging Markets Research Centre (EMaRC) Swansea University, UK
Dr. Mansaf Alam, Editor-in-Chief, Journal of Applied Information Science, Big Data, Cloud Computing & IoT Laboratory, Department of Computer Science, JMI
Prof. Indranil Bose, Dean, School of Business, University of Bolton, RAK, UAE
Prof. Anisur Rehman, Director, HRDC, Jamia Millia Islamia, New Delhi
Prof. Nesar Ahmad, Tilka Manjhi Bhagalpur University, Bhagalpur
Program Committee Members
DR. XIUFENG LIU, Depatment of Technology, Management and Economics, Technical University of Denmark
Dr. Amit Yadav, Department of Information and Technology (IT), Charles Darwin University (CDU), Darwin, NT, Australia
Dr. Samala Nagaraj, Woxsen School of Business, Woxsen University
Dr. Samiya Khan, University of Wolverhampton, United Kingdom
Dr. Tiep Le Thanh, City University of Economics and Finance, UEF. QA/QC Manager at Multi-Color Vietnam
Dr. Kashish Ara Shakil, College of Computer and Information Sciences, Princess Nora Bint AbdulRahman University, Saudi Arabia, KSA
Dr. Alok Agnihotri, Indian Institute of Management (IIM), Visakhapatnam
Dr. Satwinder Kumar, Punjabi University, Patiala
Dr. Tunio, Muhammad Nawaz, Alpen Adria University of Klagenfurt, Austria​
Dr. Ram Prakash Bharti, IIT, Roorkee
Dr. Rajpreet Kaur, Department of Management, IK Gujral University Punjab Technical University, Kapurthala
Dr. Zafaryab Rasool, Deakin University, Geelong, Victoria, Australia
Dr. Jatinder Manhas, Bhaderwah Campus Jammu University
Deepti Lohia, Shivaji College, University of Delhi
Dr. Meera Mehta, Department of Commerce, Shaheed Bhagat Sigh College, University of Delhi
Prof. Abijeet Chandra, Finance & Accounting, Vinod Gupta School of Management, Indian Institute of Technology(IIT), Kharagpur
Dr. Majid Bashir, BGSB University, Rajouri
Dr. Suneel Kumar,Department of Commerce, Shaheed Bhagat Singh College, University of Delhi
Dr. Pradyumna Yadav, Department of Management & Registrar, Medi-Caps University, Indore
Dr. K T Vigneswara Rao, Indian Institute of Management Indore, Nagari, Andhra Pradesh, India
Dr. S. Balamurugan, Director, Albert Einstein Engineering and Research Labs (AEER Labs)
Dr. Taslim Arif, Baba Ghulam Shah Badshah University, Rajour​
Dr. Yeliena Prokhorova, Management Department, Kyiv National Economic University, Ukraine
Ezeifekwuaba Tochukwu Benedict, TochiPat Enterprises
Organizing Committee Members
Dr. Rabinarayan Samantra
Department of Commerce, Shivaji College
Mr. Rajesh Kumar
Department of Commerce, Shivaji College
Dr. Rajinder Singh
Department of Commerce, Shivaji College
Ms. Vanitha Chadha
Department of Commerce, Shivaji College
Ms. Monika
Department of Commerce, Shivaji College
Ms. Manisha Rani
Department of Commerce, Shivaji College
Ms. Manisha
Department of Commerce, Shivaji College
Dr. Chhavi Sharma
Department of Commerce, Shivaji College
Ms. Supriya Kamna
Department of Commerce, Shivaji College
Dr. Anubha
Department of Commerce, Shivaji College
Ms Shweta
Department of Commerce, Shivaji College
Ms Harmanpreet Kaur
Department of Commerce, Shivaji College
CA Ritesh Bansal
Department of Commerce, Shivaji College
Ms Jyoti Yadav
Department of Commerce, Shivaji College
Ms Rachna Soni
Department of Commerce, Shivaji Coll
Ms Ritu Dagar
Department of Commerce, Shivaji Coll


Publication
Accepted and registered papers will be published in Edited book by Taylor and Francis .The selected paper will be published as extended papers in following Scopus indexed and peer reviewed journals

1 Expert System Journal, Wiley , SCIE and Scopus

2 Design Engineering (Toronto)(SCOPUS INDEXED )

3. Turkish Journal of Computer and Mathematics Education (TURCOMAT) (SCOPUS INDEXED )

4. Journal of Applied Information Science (PEER REVIEW)

Venue

The conference will be held in Commerce department ,Shivaji college

Contact
All questions about submissions should be emailed to ...

[email protected]


Summary

ICDABM 2022 : International Conference on Data Analytics in Business and Marketing will take place in New Delhi. It’s a 2 days event starting on Apr 21, 2022 (Thursday) and will be winded up on Apr 22, 2022 (Friday).

ICDABM 2022 falls under the following areas: DATA ANALYTICS, BUSINESS AND MARKETING, INTELLIGENT DATA ANALYTICS, COMPUTER SCIENCE, etc. Submissions for this Conference can be made by Feb 25, 2022. Authors can expect the result of submission by Mar 20, 2022. Upon acceptance, authors should submit the final version of the manuscript on or before Mar 30, 2022 to the official website of the Conference.

Please check the official event website for possible changes before you make any travelling arrangements. Generally, events are strict with their deadlines. It is advisable to check the official website for all the deadlines.

Other Details of the ICDABM 2022

  • Short Name: ICDABM 2022
  • Full Name: International Conference on Data Analytics in Business and Marketing
  • Timing: 09:00 AM-06:00 PM (expected)
  • Fees: Check the official website of ICDABM 2022
  • Event Type: Conference
  • Website Link: https://conficdabm2022.wixsite.com/icdabm2022
  • Location/Address: New Delhi


Credits and Sources

[1] ICDABM 2022 : International Conference on Data Analytics in Business and Marketing


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