Minimal (optimal) use of input resources.
Published in Chapter:
A Cognitive Analytics Management Framework (CAM-Part 1): SAMAS Components, Leadership, Frontier Performance Growth, and Sustainable Shared Value
Ibrahim H. Osman (American University of Beirut, Lebanon) and Abdel Latef Anouze (Qatar University, Qatar)
Copyright: © 2014
|Pages: 79
DOI: 10.4018/978-1-4666-4474-8.ch001
Abstract
In this chapter, the current world's challenges, shortcomings of strategic performance measurement, and management methodologies are analyzed to introduce the new Cognitive Analytics Management (CAM) framework. CAM uses five components (SAMAS): Shared values to stakeholders; cognitive Analytics to generate applied insights; Mission, vision, and goals to develop corporate strategy; Activities to create—innovative models, products, and services—using various organizations' supporting Structure from people, process, regulation, and technology to develop smart organizations. The efficient frontier data envelopment analysis is proposed to generate performance measures and derive insights from best practices. The input-efficiency and output-effectiveness performances are used to prioritize scenarios. Insights from the best scenarios are used to improve inefficient ones, to manage performance, and to boost productivity growth. CAM also introduces a new cognitive leadership concept to help making informed decisions in a smart competitive world while alleviating societal challenges. Finally, CAM implementation roadmap, supporting literature, and new research innovations are provided.