Abstract
Service Economics has been successfully proposed and implemented for promoting the macro service market especially in Global value chains which however don’t provide guidance to and integrate directly with the IT side implementation to achieve coherent information coordination and robust adaptability which indicts maximization of business profitability. Therefore there leaves a gap of the refinement from the strategic business planning to ubiquitous services implementation in the API (Application Program Interface) economy. Recently Gio Wiederhold attributed this gap to the knowledge difference between economists and the IT professionals and proposed that IT professionals should act to fill the gap since they have irreplaceable data, information and knowledge concerning the specific implementation. As an instance of this guidance in the practice of Value Driven Design, we proposed a systemic formalization from the value calculation to the design quality measurement which binds the modification and change on the design artifacts with the business value strategy through a framework of managed quality properties in a service design process covering data, information and knowledge assets.
Highlights
Boehm and Sullivan 3 have proposed that the essence of design is motivated by creating value added for maximizing the profit of stakeholders.They proposed to guarantee the profit goal through a top down manner implementation from the strategic economic reasoning down to the specific development processes which include modeling activities and model evaluation
To get the most value added from the efficiency improvement and strategic investment practice on the service economy with improved economic outcomes, we need to construct a seamless data, information and knowledge flow circle which goes through the economic planning to the design details to guarantee the refinement of the business consideration as decision making, design activities or resource allocations and model evaluation
The evaluation on the adaptability and controllability of the related intermediate models and the modeling activities in the development process is enabled with a deviation measure centering core concepts of Under Design (UD) and Over Design (OD) 11 which represent the direction and distance of observable design degradation referring to the ideal model or best experience in an information/knowledge lifecycle
Summary
Boehm and Sullivan 3 have proposed that the essence of design is motivated by creating value added for maximizing the profit of stakeholders They proposed to guarantee the profit goal through a top down manner implementation from the strategic economic reasoning down to the specific development processes which include modeling activities and model evaluation. The evaluation on the adaptability and controllability of the related intermediate models and the modeling activities in the development process is enabled with a deviation measure centering core concepts of Under Design (UD) and Over Design (OD) 11 which represent the direction and distance of observable design degradation referring to the ideal model or best experience in an information/knowledge lifecycle Based on this bundling mechanism between the design activities/states and their evaluations, we proposed to a top down decomposition of the economical goal to bridge the business planning and the technical sides in an unified process.
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More From: International Journal of Networked and Distributed Computing
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