References
- Bridges, E. (1999). Experiential learning and customer needs in the undergraduate marketing research course. Journal of Marketing Education, 21(1), 51–59. doi:10.1177/0273475399211007
- Davenport, T. H., Barth, P., & Bean, R. (2012). How big data is different. MIT Sloan Management Review, 54(1), 43–46.
- Gillentine, A., & Schulz, J. (2001). Marketing the fantasy football league: Utilization of simulation to enhance sport marketing concepts. Journal of Marketing Education, 23(3), 178–186. doi:10.1177/0273475301233003
- GMAC. (2020). Application trends survey report 2020. Graduate Management Admission Council. Retrieved from https://www.gmac.com/market-intelligence-and-research/research-library/admissions-and-application-trends/2020-application-trends-survey-report
- Hawes, J. M., & Foley, L. M. (2006). Building skills with professional activity reports. Marketing Education Review, 16(1), 35–40. doi:10.1080/10528008.2006.11488935
- IBM. (2021). What is data visualization? Retrieved from https://www.ibm.com/analytics/data-visualization
- Li, T., Greenberg, B. A., & Nicholls, J. (2007). Teaching experiential learning: Adoption of an innovative course in an MBA marketing curriculum. Journal of Marketing Education, 29(1), 25–33. doi:10.1177/0273475306297380
- Liu, X., & Burns, A. C. (2018). Designing a marketing analytics course for the digital age. Marketing Education Review, 28(1), 28–40. doi:10.1080/10528008.2017.1421049
- Marsh, H. W. (1982). SEEQ: A reliable, valid, and useful instrument for collecting students’ evaluations of university teaching. British Journal of Educational Psychology, 52(1), 77–95. doi:10.1111/j.2044-8279.1982.tb02505.x
- Oracle. (2012). What is big data? Retrieved from https://www.oracle.com/ca-en/big-data/what-is-big-data/
- Schield, M. (1998). Statistical literacy and evidential statistics. Paper presented at the ASA Proceedings of the Section on Statistical Education. Retrieved from www.StatLit.org/pdf/1998SchieldASA.pdf.
- Schield, M. (1999). Statistical literacy: Thinking critically about statistics. Of Significance, 1(1), 15–20.
- Thontirawong, P., & Chinchanachokchai, S. (2021). Teaching artificial intelligence and machine learning in marketing. Marketing Education Review, 31(2), 58–63. doi:10.1080/10528008.2021.1871849