The research proposes a "conceptual-ERP-framework" for a smart factory during technology diffusion "mega-projects". Application of knowledge discovery and classification algorithms is applied to draw probabilistic inferences based on FP-Growth-algorithm without ignoring the "balanced scorecard (BSC)-model-driven architecture" which is embedded with business intelligence. The prime objective being to illuminate research and scholarly understanding for strategic-alignment of design of vital

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... cts of Enterprise resource planning systems (ERP) through collaborativemultidiscipline initiatives amongst the disciplines of "Software-Engineering, Engineering-Management, and Business Science" to overcome the challenges of designing an ERP-system. Keywords ERP, e-learning, "BSC" life cycle management, Smart Aerospace Factory. METHODOLOGY AND DESIGN The limited literature in ERP-technovation was the "raisond'être" to conduct this research. This paper proposes a systems approach (input output model) to deal with ERP-LMS dynamics, for OJT, professional e-learning scenarios for a smart aerospace factory. The contribution of this research is multifold, as compared to previous research. First, it proposes a balanced scorecard (BSC) life cycle management approach based on Diffusion of innovation (DOI)-theory. Then it proposes a sociotechnical solution based on TQM philosophies and Artificial intelligence for continuous improvement of ERP employing frequent pattern mining road-map to forecast "what-if" scenarios.