Introducing Students to Business Analytics: A Case Study

Faye X. Zhu, Joel Rudin

Abstract


Employer demand for business analytics skills is strong, yet most universities provide an inadequate amount of business analytics education. This paper describes and evaluates an introductory business analytics course required for undergraduate business management majors. It examines not only students' perceptions of teaching effectiveness and learning satisfaction from end-of-semester surveys but also student learning outcomes measured by the instruments for the program assurance of learning. Student evaluations were not generally favourable, which is unsurprising for the courses like this that require statistical analysis and quantitative skills. However, the measures of learning showed positive results as over three-quarters of the students’ demonstrated satisfactory performance in using analytical tools and applying spreadsheet and optimization models. Perceptions were enhanced for students who held more positive impressions of the instructor and of the team-based assignments, who expected higher grades, and who were more interested in the subject of business analytics. The study suggests that measures of learning may provide a more accurate picture of the effectiveness of business analytics coursework than measures of reactions.

Keywords: business analytics, business education, learning, reactions.

Full Text:

PDF

References


Aron, A., Aron, E., & Danny, S. (1992). Inclusion of other in self scale and the structure of interpersonal closeness. Journal of Personality and Social Psychology, 63(4), 596-612.

Beavers, A.S., Lounsbury, J.W., Richards, J.K., Huck, S.W., Skolits, G.J., & Esquivel, S.L. (2013). Practical considerations for using exploratory factor analysis in educational research. Practical Assessment, Research, and Evaluation, 18(1), 6.

Bergkvist, L. & Rossiter, J. (2007). The predictive validity of multiple-item versus single-item measures of the same constructs. Journal of Marketing Research, 44(2), 175-184.

Carillo, K., Galy, N., Guthrie, C., & Vanhems, A. (2018). How to turn managers into data-driven decision makers: Measuring attitudes towards business analytics. Business Process Management Journal, 25(3), 553-578.

Carrol, N. & Burke, M. (2010). Learning effectiveness using different teaching modalities. American Journal of Business Education, 3(12), 65-76.

Cegielski, C., & Jones-Farmer, L. (2016). Knowledge, skills, and abilities for entry-level business analytics positions: A multi-method study. Decision Sciences Journal of Innovative Education, 14(1), 91-118.

Evans, J. (2020). Business Analytics(3rd Ed), Pearson.

Gorman, M. & Klimberg, R. (2014). Benchmarking academic programs in business analytics. Interfaces, 44(3), 329-341.

Hair, J.F. Jr., Anderson, R.F., Tatham, R.L., Black, W.C. (1995).Multivariate Data Analysis(4th Ed), Prentice Hall.

Jeyaraj, A. (2019). Pedagogy for business analytics courses. Journal of Information Systems Education, 30(2), 67-83.

Phelps, A. & Szabat, K. (2017). The current landscape of teaching analytics to business students at institutions of higher education: Who is teaching what? American Statistician, 71(2), 155-161.

Potter, G.C., Romeo, G.C., Bao, D.H., & Pritchard, R.E. (2008). Using standardized student evaluation instruments to measure teaching effectiveness in lecture/recitation mode classes. Journal of College Teaching & Learning, 5(3), 1-8.

Power, D., Heavin, C., McDermott, J., &Daly, M. (2018). Defining business analytics: An empirical approach. Journal of Business Analytics, 1(1), 40-53.

Praslova, I. (2010). Adaptation of Kirkpatrick's four level model of training criteria to assessment of learning outcomes and program evaluation in higher education. Educational Assessment, Evaluation and Accountability, 22(3), 215-225.

Robins, R., Hendin, H., & Trzesniewski, K. (2001). Measuring global self-esteem: Construct validation of a single-item measure and the Rosenberg Self-Esteem Scale. Personality and Social Psychology Bulletin, 27(2), 151-161.

Rodriguez, C., Maksy, M.M., & Shahid, N.U. (2021). An empirical investigation of factors related to student performance in accounting information systems. International Journal of Business and Economics, 6(2), 135-149.

Schimmack, U. & Oishi, S. (2005). The influence of chronically and temporarily accessible information on life satisfaction judgments. Journal of Personality and Social Psychology, 89(3), 395-406.

Tavakol, M. & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2(1), 53-55.

Thornton, B., Adams, M., & Sepehri, M. (2010). The impact of students’ expectations of grades and perceptions of course difficulty, workload, and pace on faculty evaluation. Contemporary Issues in Education Research, 3(12), 1-5.

Ursacho, G., Horodnic, I., & Zait, A. (2015). How reliable are measurement scales? External factors with indirect influence on reliability estimators. Procedia Economics and Finance, 20(1), 679-686.

Vidgen, R., Shaw, S., & Grant, B. (2017). Management challenges in creating value from business analytics. European Journal of Operational Research, 261(2), 626-639.

Wanous, J., Reicher, A., & Hudy, M. (1997). Overall job satisfaction: How good are sing-item measures? Journal of Applied Psychology, 82(2), 247-252.

Young, S. & Duncan, H. (2014). Online and face-to-face teaching: How do student ratings differ? MERLOT Journal of Online Learning and Teaching, 10(1), 70-79.

Zhang, L., Cheng, F., & Wei, W. (2020). A foundation course in business analytics: Design and implementation at two universities. Journal of Information Systems Education, 31(4), 244-259.

Zheng, Y., Hameed, T., Lavoie, R., & Sendall, P. (2021). An overview of business analytics programs across US business analytics schools. Issues in Information Systems, 22(2), 306-317.


Refbacks

  • There are currently no refbacks.


International Journal of Business and Economics is licensed under a Creative Commons Attribution 4.0 International License Based on a work at http://ijbe.ielas.org

Copyright © 2016-2022 International Journal of Business and Economics (IJBE)

ISSN (online) 2545-4137

Disclaimer: Articles on International Journal of Business and Economics (IJBE) have been previewed and authenticated by the Authors before sending for the publication. The Journal, Chief Editor and the editorial board are not entitled or liable to either justify or responsible for inaccurate and misleading data if any. It is the sole responsibility of the Author concerned.