Understanding the research landscape of any domain is of primary importance at all stages
of a concept's evolution. Research in the domain of analytics has increased exponentially in …

Machine Learning (ML) techniques are encountered nowadays across disciplines, from
social sciences, through natural sciences to engineering. The broad application of ML and …

A significant activity in the business analytics process is enrichment, which deals with
acquiring and combining data from external sources. While different strategies for …

This teaching brief describes an experiential project used in a graduate Principles of
Management course for nonbusiness undergraduate students. Groups of four to six first …

Decision sciences (DSC) involve studying complex dynamic systems and processes to aid
informed choices subject to constraints in uncertain conditions. It integrates multidisciplinary …

To improve the industry–academia connect, and to prepare industry-ready students, many
steps have been taken to make the 'experiential learning'through Capstone Projects (CP) …

Capstone classes can help MBA programs achieve student learning goals and meet
accreditation standards. However, such programs often fail to build the skills they are …

Machine Learning (ML) techniques are encountered nowadays across disciplines, from
social sciences, through natural sciences to engineering. However, teaching ML is a …

Recent pedagogical studies highlight the need for dynamic adaptation in business analytics
(BA) curricula to meet evolving business demands (Anand & Mitchell, 2022; Lu, 2020; Paul …

Despite the well-recognized benefits of AI for businesses, its actual adoption rate remains
low. This study explores human capital availability as a barrier to AI integration. We take the …