The Future of Marketing and Marketing Education

Author:

Grewal Dhruv123ORCID,Guha Abhijit4,Beccacece Satornino Cinthia5,Becker Marc6ORCID

Affiliation:

1. Babson College, Babson Park, MA, USA

2. University of Bath, UK

3. Tecnológico de Monterrey, Mexico

4. University of South Carolina, Columbia, USA

5. University of New Hampshire, Durham, USA

6. Maastricht University, The Netherlands

Abstract

Employers expect university graduates seeking entry-level marketing jobs to be well-versed in contemporary topics, such as sustainable development, digital marketing, big data, analytics, and the role of artificial intelligence (AI) in both traditional and contemporary marketing domains. Because many of today’s cutting-edge technological advances are deeply relevant to marketing, marketing educators must reconsider how they prepare marketing students to enter the technology-enabled world and workforce. The authors propose that marketing educators adapt their teaching of foundational marketing concepts to reflect the technology-augmented marketing era. Such reconsiderations span multiple arenas, including how classes are conducted, which topics are covered, how assignments are crafted, and how technology—and AI and generative artificial intelligence (gen AI) in particular—will transform future marketing roles. The authors also suggest ways educators can modify and reimagine existing marketing courses to prepare students for a successful entry into technology-enabled marketing jobs, as exemplified with some sample class assignments.

Publisher

SAGE Publications

Reference103 articles.

1. Amato-McCoy D. (2017, August 9). Five ways Walmart uses big data. Chain Store Age. https://chainstoreage.com/operations/five-ways-walmart-uses-big-data/

2. Arundel K. (2023, September 7). Teachers increasingly turning to digital, self-created materials for lessons. K-12DIVE. https://www.k12dive.com/news/curriculum-materials-in-classrooms/692920/

3. Becker M., Efendić E., Odekerken-Schröder G. (2022). Emotional communication by service robots: A research agenda. Journal of Service Management, 33(4/5), 675–687. https://doi.org/10.1108/JOSM-10-2021-0403

4. Customer comfort during service robot interactions

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3