## 2 Materials and Methods
### System Prototype
#### 2.2.2 Evaluation Method  
In the evaluation of the prototype by key stakeholders, we employed the Technology Acceptance Model (TAM) [15], depicted in Figure 5. The TAM serves as a robust framework for elucidating the factors that influence individuals' acceptance of computer  
Figure 4: Iterative SDLC method [14].  
Figure 3: System development life cycle (SDLC) [13].  
technology [16]. TAM is prolifically used in technology acceptance studies and is acknowledged to be versatile and applicable to diverse end-user computing technologies and demographics. The fundamental tenets of TAM encompass two pivotal concepts: Perceived Usefulness (PU) and Perceived Ease of Use (PEoU).  
Perceived Usefulness (PU) encapsulates a user's conviction that a given technology will enhance their job performance. It essentially hinges on a user's belief in the technology's capacity to enhance job performance, providing a tangible and measurable benefit in their professional tasks.  
Perceived Ease of Use (PEoU) pertains to a user's subjective assessment of the simplicity or complexity associated with utilizing a particular technology. It intersects with various technical, practical, psycho-social, and other contextual factors instrumental in shaping users' perceptions of the ease or difficulty associated with navigating and utilizing a technology effectively in given situations.  
It is imperative to highlight the interconnected nature of these concepts, as both PU and PEoU affect user acceptance and use of technology, as users are more likely to embrace technology when they find it to be user-friendly and effective to achieve their aims.  
Since the proposed D4S can be considered to be a decision support system (DSS), a validated evaluation model was adapted in this study in order to provide a correlation between the two approaches for concrete evaluation outcomes. TAM evaluation questions typically obtain feedback on the four elements of PU, PEoU, behavioral intention to use (BI2U), and usage with construct items (as listed in Table 1). This was followed by further analyses according to the aligned model, based on the decision support system evaluation methodology [17]. This revised TAM model for DSS, which was initially presented by [PERSON] and [PERSON] [18] and then extended by subsequent research [17], measures users' attitudes towards the adoption of decision support systems in order to enhance the decision-making process. The key objective was to study end users' attitudes towards the usage of the new D4S through testing identified study hypotheses listed in Table 2[17] in order to identify relationships between PU and PEoU and users' BI2U and usage of the new system.  
\begin{table}
\begin{tabular}{c l} \hline \hline  & **Construct Items** \\ \hline \multirow{2}{*}{**Perceived Usefulness (PU)**} & 1. With the new D4S, decisions are easier. \\  & 2. With the new D4S, decisions are more accurate. \\  & 3. With the new D4S, decisions are faster. \\ \hline \multirow{2}{*}{**Perceived Ease of**} & 1. The new D4S is easy to use. \\  & 2. The new D4S and methodology are easy to understand. \\ \end{tabular}
\end{table}
Table 1: Construct items [authors].  
Figure 5: Technology acceptance model [16].