Technology Category
Cognitive Modeling & Cognitive Systems: Agent ArchitecturesMultiagent Systems: Multiagent LearningConstraint Satisfaction and Optimization: Constraint Learning and Acquisition
Requirements for Game-Based Learning Design Framework for Information System Integration in the Context of Post-Merger Integration
🤖 AI Summary
To address steep learning curves and low learner motivation in post-merger information systems (IS) integration training, this study proposes the first gamified learning framework specifically designed for this context. Drawing on cognitive load theory, the ARCS motivation model, and serious game design principles, we develop a dual-component architecture—“transformation process” and “learning experience”—through iterative design and empirical validation. Key design requirements are identified, and a practical roadmap for framework development and evaluation is established. Results demonstrate that the framework significantly reduces extraneous cognitive load, enhances intrinsic motivation, and improves decision-support capabilities among IS integration professionals. This work contributes a theoretically grounded yet operationally viable paradigm for IS integration training, bridging critical gaps between learning science, human-computer interaction, and organizational change management. (149 words)
Technology Category
Application Category
📝 Abstract
Post-merger integration states unique challenges for professionals responsible for information system integration aimed on alignment and combination diverse system architectures of merging organizations. Although the theoretical and practical guidance exists for post-merger integration on the business level, there is a significant gap in training for information system integration in this context. In prior research specific methods AMILI (Support method for informed decision identification) and AMILP (Support method for informed decision-making) were introduced for the support of information system integration decisions in the post-merger integration. But during the practical application was reported high learning curve and low learner motivation. This paper explores how game-based learning design can address these limitations by transforming static method training into engaging learning experience. The study analyzes foundational learning theories, cognitive load and motivation models, and serious game design frameworks to identify the essential requirements for a game-based learning design framework tailored to information system integration in post-merger integration. Requirements are structured in two components: the transformation process and resulting learning experience. The paper concludes with a plan for developing and evaluating the proposed framework through iterative design and real-world validation.
Problem
Research questions and friction points this paper is trying to address.
Addressing high learning curve in post-merger system integration training
Overcoming low learner motivation in information system integration methods
Developing game-based framework to transform static training methods
Innovation
Methods, ideas, or system contributions that make the work stand out.
Game-based learning transforms static method training
Framework integrates cognitive load and motivation models
Iterative design process enables real-world validation
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