1st Workshop on Leveraging customer behavior using advanced data analytics and Machine learning techniques (LCBuADAaML 2021)

Scope:
The technological paradigm has transformed into a new era in today’s scientific world.  The digital, both publicly and proprietary, data generation has exponentially increased and is easily accessible to both practitioners and academics. Future technologies will provide growth opportunities based on innovative business interaction with customers, informed managerial decision making, and transformed customer behavior through customer knowledge. Competitive businesses should leverage customer knowledge through advanced technologies to articulate effective strategies for business improvement.  For the purpose, the customer behavior analytics can play a vital role to make data-driven decisions based on the individual-level details of their customers. The business decisions based on the precise individual-level needs and requirements, for the present and future, will enable the business to make the right offers to the right customers at the right time. Therefore, business models specially services-oriented firms and organizations should highly be focusing on customer behavior analytics to gain a competitive advantage using automated processes of machine learning, business analytics, and artificial intelligence. This is a real-world paradigm shift involving new challenges for the researchers to solve novel research questions about customer-centricity and customer behavior.  
This research workshop (call for papers) aims to ask the relevant community about how to best make use of the new service analytics tools to analyze customer behavior and measure and enhance business value, the customer experience, and technology readiness. Therefore, this workshop calls for the latest unpublished and original research on future service technologies, automated processes of machine learning, customer behavior analytics, and business artificial intelligence, to fill gaps in current business knowledge and customer or service analytics. These aspects are explored from the perspective of the customers and informed managerial decision making. The research paper submission can be conceptual or empirical.

Topics of Interest:
We welcome submissions that focus on, but are not limited to, the following topics:
•    Applied practices in leveraging data science to inform marketing.
•    Customer analytic tools for decision making.
•    Humanizing the Customer Experience.
•    Customer relationship metrics.
•    Knowledge transfer processes and big data analytics.
•    Charting the Customer Journey in the Digital World.
•    Advance data dashboard and visualization techniques.
•    New platforms and data access tools and technologies.
•    Proactive and predictive customer management.
•    Knowledge transfer processes and customer data analytics.
•    Customer data analytics adoption in management.
•    Real-time usages of metrics and data analytics provided by new techniques and technology.
•    Emerging challenges in management in the era of business analytics.
•    Social media analytics and text mining for customer analytics.

Submission:
All the manuscripts submitted must not have been published, accepted for publication, or be currently under consideration elsewhere. Manuscripts should be submitted in accordance with the author guidelines and deadlines defined by WorldCist’21 organizers, available on the conference/workshop home page; URL http://www.worldcist.org/index.php/workshops

Workshop Organizers:
Adnan Amin
Lecturer/Ph.D. Researcher,
Center of Execellence in Information Technology
Team Lead, Technology Development Center
Institute of Management Sciences, Peshawar, Pakistan.
1-A, Sector E-5, Phase 7, Hayatabad, Peshawar, Pakistan, Zip Code: 25000
Official Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Contact: +92 333 9111925
Fax:  (+92-91) 9217407

Kaizhu HUANG
Professor
Department of Electrical & Electronic Engineering, Xi'an Jiaotong-Liverpool University.
Founding Director, Suzhou Municipal Key Lab of Cognitive Computing and Applied Technology.
Visiting/Honorary Professor, University of Stirling, UK.
Concurrent Full Professor, University of Electronic Science and Technology of China.
Associate Professor, National Laboratory of Pattern Recognition,Chinese Academy of Sciences.
Official Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Tel: +86-512-88161404

Hamood ur Rehman Durrani
Assistant Professor/Ph.D. Scholar,
Institute of Management Sciences, Peshawar, Pakistan.
Official Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
Postal Address:
Institute of Management Sciences,
1-A, Sector E-5, Phase 7, Hayatabad, Peshawar, Pakistan
Zip Code: 25000


Program Committee Members:
Azhar Rauf, Department of Computer Science, University of Peshawar, Pakistan.
Sajid Anwar, Center for Excellence in Information Technology, Institute of Management Sciences, Peshawar, Pakistan.
Asad Masood Khattak, Zayed University, United Arab Emirates.
Babar Shah, Zayed University, United Arab Emirates.
Abdul Rauf, Research Institutes of Sweden in Vasteras, Sweden.
Latifah Almuqren, Department of Computer Science, University of Durham, Durham, United Kingdom.
Awais Adnan, Center for Excellence in Information Technology, Institute of Managemnet Sciences, Peshawar, Paksitan.
Imran Mughal, Center for Excellence in Information Technology, Institute of Management Sciences, Peshawar, Pakistan.
Muhammad Zubair, Department of Computer Science, Khushal Khan Khattak University, Karak, Pakistan.
Safdar Rizvi, Department of Computer Science, Bahria University, Karachi Campus, Pakistan.
Sadique Ahmad, Department of Computer Science, Bahria Univeristy Karachi Campus, Pakistan.
Muhammad Tahir, Department of Computer Science, College of Computing and Informatics, Saudi Arabia.
Fatma Sulaiman Alrayes, College of Computer and Information Sciences Princess Nourah bint Abdulrahman University, Saudi Arabia.
Hessah Almegren ,I.T Ministry of Education, Riyadh, Saudi Arabia.
Sayed Bakhtawar Shah, Faculty of Management and Computer Science The University of Agriculture, Peshawar, Pakistan.
Akif Khan, Department of Computer Science, University of Peshawar,Pakistan.

 

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