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Grenci, Richard T. – Decision Sciences Journal of Innovative Education, 2022
This article presents a project that uses a business context to introduce students to a multiphase approach to analytics while relying primarily on an introductory Excel course for prerequisite knowledge. A range of analytics techniques--including Excel Pivot tables and charts, regression trend lines, and linear programming--are combined into an…
Descriptors: Data Analysis, Computer Software, Business Administration Education, Decision Making
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Meyer, Brad C.; Bishop, Debra S. – Decision Sciences Journal of Innovative Education, 2022
This article examines how students learn about data-driven decision-making by creating and using a dashboard to play an online version of the familiar Beer Game. The objective is to apply data visualization skills to a business system in a way that leads to effective decisions. The students not only build a dashboard in Tableau, they also use it…
Descriptors: Visual Aids, Data Analysis, Decision Making, Computer Software
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Chongwatpol, Jongsawas – Decision Sciences Journal of Innovative Education, 2020
Design Thinking has been applied successfully in many fields; however, in Information Systems research most early studies focus on applying the specific toolsets to developing product and system designs to solve strategic, managerial, and operational problems. There is little research on how Design Thinking can be embedded in the learning…
Descriptors: Design, Business, Best Practices, Decision Making
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Nasir, Murtaza; Dag, Ali; Young, William A., II; Delen, Dursun – Decision Sciences Journal of Innovative Education, 2020
We are experiencing a significant shift in management practices--moving from intuition, experience, and gut-feeling driven decision-making to one that is driven by data, evidence, and computational sciences. This shift, which is often called the "analytics revolution," is not only changing the business landscape from a practical…
Descriptors: Job Skills, Business Administration, Labor Market, Decision Making
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Sankaran, Siva; Sankaran, Kris; Bui, Tung – Decision Sciences Journal of Innovative Education, 2023
Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…
Descriptors: Data Analysis, Programming Languages, Student Attitudes, Computer Science Education
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Yazici, Hulya Julie – Decision Sciences Journal of Innovative Education, 2020
The increasing use of massive data requires effective teaching strategies for business analytics. The discipline combines analytical skills, information technology, and business-domain knowledge, and is challenging to teach to business students. This research demonstrates that business undergraduate students can benefit from an experiential…
Descriptors: Student Projects, Active Learning, Business Administration Education, Undergraduate Students
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Stanton, Wilbur W.; Stanton, Angela D'Auria – Decision Sciences Journal of Innovative Education, 2020
Fact-based decision making is changing job functions within organizations more than any other technology. Analytics, once the purview of the data scientist, is now spread throughout organizations. No longer is there a single job title, job function, or set of required skills and credentials for an analytics career. Companies have moved away from…
Descriptors: Decision Making, Data Analysis, Business Schools, Business Administration Education