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Using Multi-Criteria Decision Analysis: Assessing Vendor Options for EdTechAi
Teaching case study

Using Multi-Criteria Decision Analysis: Assessing Vendor Options for EdTechAi

Rodreck David
Sage Publications
14/01/2025

Abstract

Decision Analysis Multi-Criteria Decision Analysis (MCDA) Quantitative Techniques for Business
Headquartered in San Francisco, EdTechAi Inc. (ETA) is a start-up experiencing sharp growth. The company offers a wide range of cutting-edge AI EdTech, including immersive 3D digital twinning attractive to both health tech and engineering companies seeking to enhance their apprenticeship programs. It also holds patents to a GenAI video solution gaining traction in universities for its intuitive educational content that increases student engagement. To provide these technologies, ETA has been sourcing computing infrastructure such as storage, processing power, virtualization, and 3D rendering from BiHub Inc., a private cloud computing company reputed for its exclusivity and high security standards. However, recent market forecasts suggest that BiHub might not be able to meet the projected increase in demand at ETA. The company is considering whether to add CloudComp, GG, and AzurAi to its vendor list, but needs to know if they will fit its important criteria and how to prioritize them. A young executive at ETA tasked with addressing this dilemma has decided to apply multi-criteria decision analysis (MCDA) to help the company make a decision.
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