Impact of Course Learning Factors on Student Interest in Business Analytics Careers

Impact of Course Learning Factors on Student Interest in Business Analytics Careers

Mandy Yan Dang, Yulei Gavin Zhang, M. David Albritton
DOI: 10.4018/IJICTE.324160
Article PDF Download
Open access articles are freely available for download

Abstract

Advancements in internet technology have fundamentally changed how companies conduct their business activities, leading us into a business analytics (BA) era. In this article, the authors aim to investigate factors that could shape students' career choice considerations toward BA jobs after they have been exposed to BA course content in an undergraduate BA course. They investigated various theoretical perspectives, including experiential and active learning theories and social cognitive career theory, and developed a research model. The model testing results show that the organization and logical flow in how the course was designed and delivered, the help offered to manage difficulty of content, and students' individual learning effort could influence perceived learning outcomes, which in turn, had a significant influence on their learning interest. In addition, increases in both learning interest and subjective norm had positive impacts on career choice considerations, with learning interest having a much stronger influence over subjective norm.
Article Preview
Top

Introduction

Web 2.0, with user-generated and shared content as well as enhanced collaboration, has not only enabled two-way communication between individual Internet users and the cloud, but has also brought tremendous advantages to various aspects of people’s lives and to society as a whole (Chen, 2009). This great revolution has changed how the Internet is used for all kinds of online activities and services, and has led to new ways of thinking such that Internet-based services are now driving comprehensive processes in many different spheres (e.g., Business 2.0, Politics 2.0, Health 2.0, etc.) (Chen, 2009).

Derived from the concept of business intelligence, the term business analytics (BA) was introduced by Davenport (2006), which refers to the use of advanced analytical algorithms, tools, and software to collect, analyze, and act on business data in order to gain insights and drive decision making and problem-solving activities.

Over time, society has experienced three generations of BA, with each generation having its own focus and computing power. The first generation, dubbed Analytics 1.0 (or BA 1.0), is the era of business intelligence in which leading companies started to leverage data management tools and techniques to make sense of structured online business data (Chen & Storey, 2012; Davenport, 2009). The second generation, Analytics 2.0 (or BA 2.0), is the era of “big data” (Davenport, 2009), in which Internet-based social networking companies began leveraging the large amount of unstructured, user-generated data to advance their business activities and facilitate better decision making (Chen & Storey, 2012; Davenport, 2009). Now in the third generation of BA, or Analytics 3.0; this is an era where data-enriched offerings drive business strategy. Here, analytic tools and algorithms are used to make sense of business data and focused upon generating competitive advantages (Davenport, 2009; Goebel et al., 2015). Many firms consider the investment in BA as the top priority in their business strategy development (Turel & Kapoor, 2016).

The great impact and popularity of BA has also significantly influenced the job market (Davenport & Patil, 2012; Turel & Kapoor, 2016) and various industries (Silva et al., 2021). BA has become one of the fastest growing job markets for business school students (Turel & Kapoor, 2016), as organizations need individuals who have a mix of technical background, analytic skill, and comfort with decision making. Unfortunately, a significant gap has been identified between job market demands for BA and the supply of college graduates with the requisite BA training (Jalil & Leen, 2021; Turel & Kapoor, 2016). To address this gap in job market needs, many universities and colleges have started to promote the BA career path by offering BA classes, BA certificates, and even BA-specific majors for those who seek to specialize in this multidisciplinary field.

Complete Article List

Search this Journal:
Reset
Volume 20: 1 Issue (2024)
Volume 19: 1 Issue (2023)
Volume 18: 3 Issues (2022)
Volume 17: 4 Issues (2021)
Volume 16: 4 Issues (2020)
Volume 15: 4 Issues (2019)
Volume 14: 4 Issues (2018)
Volume 13: 4 Issues (2017)
Volume 12: 4 Issues (2016)
Volume 11: 4 Issues (2015)
Volume 10: 4 Issues (2014)
Volume 9: 4 Issues (2013)
Volume 8: 4 Issues (2012)
Volume 7: 4 Issues (2011)
Volume 6: 4 Issues (2010)
Volume 5: 4 Issues (2009)
Volume 4: 4 Issues (2008)
Volume 3: 4 Issues (2007)
Volume 2: 4 Issues (2006)
Volume 1: 4 Issues (2005)
View Complete Journal Contents Listing