Automated Business Model Evaluation via Value Driver Mapping
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Solution Overview
Problem
Existing methods for evaluating new hardware-based business models are resource-intensive and unsuitable for efficiently managing a large number of business models, particularly in the context of digitalization, where numerous models need to be considered daily, leading to potential missed opportunities due to limited resources.
Innovation Solution
A computer-implemented method that imports and maps software-based business models to value creator parameters, determines their respective value creation volumes, sorts them, and assigns coordinates in a value map space, allowing for efficient evaluation and management of multiple business models by identifying and merging value creator parameters to create a value driver map.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional manual evaluation methods are used for business models, then evaluation thoroughness can be maintained, but evaluation speed and productivity decrease significantly when handling large numbers of models
Solution Approach 1:
The patent replaces manual mechanical evaluation processes with an automated computer-implemented evaluation system. The system automatically imports business model representations, extracts parameters, calculates value creator metrics, and generates evaluations without human intervention, thereby maintaining thoroughness while dramatically increasing evaluation speed and productivity.
Solution Approach 2:
The evaluation system is designed to autonomously perform the entire evaluation process. The computer-implemented method self-services by automatically importing business model data, identifying value creators, calculating metrics, and generating evaluations without requiring manual resource allocation, enabling the system to handle large volumes of business models efficiently.
2Productivity
If more personnel are allocated to evaluate business models, then evaluation capacity increases, but resource costs and organizational complexity increase
Solution Approach 1:
The patent substitutes human personnel with an automated computer-implemented evaluation system. This replacement eliminates the need to hire, train, and manage additional evaluation staff, thereby increasing evaluation capacity without increasing organizational complexity or resource costs.
Solution Approach 2:
The system uses standardized business model representations and parameter extraction templates that can be repeatedly applied to any business model. This copying approach allows the same evaluation logic to be executed multiple times without requiring additional human resources or organizational structures.
3Measurement precision
If traditional evaluation approaches are used, then detailed analysis of individual models is possible, but the ability to evaluate multiple models simultaneously is limited
Solution Approach 1:
The patent segments the evaluation process into distinct automated components: importing business model representations, extracting parameters, identifying value creators, calculating metrics, and generating evaluations. This segmentation allows the system to maintain detailed analysis depth for each model while simultaneously processing large quantities of models through parallel automated operations.
Solution Approach 2:
The computer-implemented evaluation system is designed with universal functionality to handle diverse business models through standardized parameter extraction and evaluation logic. This multi-functionality enables the system to maintain consistent analysis depth across different model types while evaluating large numbers of models simultaneously.
Data Source
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AI summary
The disclosure describes a system to realize business agility with speed and scale necessary for the digital service age. As products dissolve into value streams, value creation is to be the focus for business models (BM). The described system supports this by guiding definition and elaboration of business models (BM) by means of value drivers (VM). As these value drivers are common to most of the business models in a specific domain, synergistic business value is in focus and the rightsizing of the targeted domain is supported.