Journal of Science and Sustainable Development

3.3.
 
Evaluation 
3.3.1.
 
Effectiveness evaluation 
Throughout this paper, we will deal with these considerations as the fulfillment scale of demands that we 
want our model to fulfill. The effectiveness of the model is a value of how much of these requirements is 
satisfied weighted according to their priority. For that, we need to prioritize the considerations. These aspects 
will be prioritize considering their relevance to the concept of an agile business model in the light of sense-
and-respond strategy[9]. For the model to be functional in this concept, requirements 3, 6 and 11 are the most 
important. The other requirements are important for the full-featured model. So, we eliminate the three core 
requirements and scale the effectiveness of the model according to the other 10 requirements. 
3.3.2.
 
Efficiency evaluation 
Two factors affect the efficiency rate of the model, the effectiveness and the practicality of the 
implemented algorithms. We have already dealt with the effectiveness evaluation. This means the efficiency 
is based on efficiency of the code. Moe precisely, it is the sum of the asymptotic notations of the implemented 
algorithms. 
4.
 
UABI Model Construction 
The fruit of this study is the model structure and the employment of the techniques and algorithms. Taking 
into consideration the dynamicity and modularity requirements, we will define the abstract objects of the 
UABI model APIto be implemented in the UABI-based applications.
The model is driven by two basic factors: the business factor and the data factor (Figure 2). Both business-
driven and data-driven orientations are consistent within the model. 
As a business-driven model, the model consists of: 
1-
The business profile:objectives, vision, goals, products, etc. 
2-
Products. 
3-
Market. 
4-
Organization structure. 
5-
Environment. 
The UABI model will analyze and provide results in the light of these points. On the other side, these 
points are introduced in the form of data. That means the technical side of the model is data-driven and it 
consists of: 
1-
Data storage 
2-
Data retrieval 
3-
Data analysis 
4-
Data representation. 

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