Author:
Léger Pierre‐Majorique,Cronan Paul,Charland Patrick,Pellerin Robert,Babin Gilbert,Robert Jacques
Abstract
PurposeIt is argued that problem‐based learning (PBL) is a valuable approach to teaching operations management, as it allows learners to apply their knowledge and skills in an environment that is close to real‐life. In fact, many simulations currently exist in the teaching of operations management. However, these simulations lack a connection to real‐life, as they are typically turn‐based and do not use real‐life IT support. The current paper seeks to address this issue by presenting an innovative pedagogical approach designed to provide learners with an authentic problem‐solving experience in operations management within an enterprise resource planning (ERP) system.Design/methodology/approachThe paper proposes a simulation game called ERPsim whereby students must operate an enterprise in a simulated economic environment using in real time a real‐life ERP system, namely SAP. Based on a survey with instructors, it assesses the extent to which this proposed simulation is aligned with the five characteristics of the PBL approach.FindingsSurvey respondents confirm that significant improvements in student evaluations, learner motivation, attendance, and engagement, as well as increased learner competence with the technology can be achieved by using the proposed approach.Practical implicationsFor more than five years this pedagogical approach has been used by more than 250 professors, lecturers, and professional trainers in over 160 universities worldwide. Between September 2009 and June 2011, more than 3,000 simulations games were played by over 16,000 university student teams.Originality/valueResults and observations on using the proposed pedagogical approach are presented and compared to the main characteristics of the PBL approach (authenticity, ill structured problems, student‐centered, small group settings and facilitator dimensions).
Subject
Management of Technology and Innovation,Strategy and Management,General Decision Sciences
Cited by
24 articles.
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