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

Terceira Island, Azores, Portugal,
Event Date: Mar 30, 2021 - Apr 02, 2021
Submission Deadline: Nov 30, 2020
Notification of Acceptance: Dec 23, 2020
Camera Ready Version Due : Jan 02, 2021


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 Therefore, this workshop calls for the latest unpublished and original research on future service technologies, automated processes of machine learning, customer behavior analytics, and business artificial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. 

Call For Paper

Prospective authors are encouraged to submit papers for evaluation by the Program Committee of each workshop. All papers must follow the formatting rules for Proceedings in Advances in Intelligent Systems and Computing Series (see Instructions for Authors at Springer Website) and be written in English. Submissions must be of one of two types: Full paper: Finished and consolidated R&D works. These papers are assigned a 10-page limit and Short paper: Ongoing works with relevant preliminary results open to discussion. These papers are assigned a 7-page limit.
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.

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