Earticle

초록

영어

Globalization and technological development require organizations to adopt supply chain data analytics in their supply chain to enhance their performance and decision-making. This research aims to evaluate Tableau software's effectiveness on learning outcomes in the field of supply chain analytics. Visualization allows students to learn better supply chain management (SCM) strategies. Using the actual demand data during the recent Covid-19 pandemic, we attempt to teach the effect of data visualization techniques on students' analytical skills. To examine students' understanding, we have collected 66 students' surveys in Fall 2021 through undergraduate-level classes. The result indicates that employing the Tableau tool promotes the student's learning and comprehension of demand forecasting. Also, we compared exam scores from fall 2020 and fall 2021, a year apart, to evaluate students' learning outcomes. It shows that students understood demand trend analysis using Tableau. It is important that the concept of supply chain analytics and experiential software tools such as Excel and Tableau. This study examines whether Tableau software impacts students' demand forecasting learning. In sum, students better understand the relationship between data analysis regarding demand forecasting, that is, for supply chain analytics and supply chain management.

목차

Abstract
1.Introduction
2. Literature Review
3. Class Preparation
4. Students' Feedback
5. Teaching Effectiveness
6. Discussion
7.Conclusion 
References
Appendix

키워드

저자

• Park, Arim [ North Carolina A&T State University ] First & Corresponding Author
• Malhan, Amit [ North Carolina A&T State University ] Co-Author
• Rudna, Olena [ New Jersey Institute of Technology ] Co-Author

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  프로젝트경영연구 [Project Management Review]

• 간기

  반년간

• eISSN

  2799-3434

• 수록기간

  2021~2026

• 등재여부

  KCI 등재

• 십진분류

  KDC 325 DDC 658