# Validation of Value-Driven Token Economy: Focus on Blockchain Content Platform
## 4 Results and Discussion  
Using the analytical hierarchy process (AHP), this study identified the relative importance of the top factors affecting the structure of the value-driven token economy. The results of this comprehensive analysis are shown in Table 7 and Figure 11. Among the three important factors, 'people (users)', 'profit (tokens)', and 'platform (blockchain)', 'people (users)' is the most important, with a relative weight of 0.487. This significant weighting of 'people (users)' shows that platforms and platform economies are more about user- and creator-centric needs, such as recognizing their creation and decision-making authority, than technology or profit. After 'people (users)', the 'platform (blockchain)' had the second highest relative importance, and the last was 'profit (tokens)'. This result's consistency index (\(CI\)) is 0.016, indicating consistent responses. The consistency ratio (\(CR\)) is 0.031, less than 0.1, and is considered as being sufficiently consistent. The maximum eigenvalue, \(\lambda_{\text{max}}\), is 3.032, which is below the \(CR\) value of 0.1, meaning that the level of consistency is acceptable. Interestingly, the content and blockchain experts had slightly different results for the top factors. \begin{table}
\begin{tabular}{c c c} \hline \hline
**Top Factor** & **Rank** & **Weight** \\ \hline People (Users) & 1 & 0.487 \\ Profit (Tokens) & 3 & 0.242 \\ Platform (Blockchain) & 2 & 0.271 \\ \hline SUM & & 1.000 \\ \hline \(CI\) & & 0.016 \\ \(CR\) & & 0.031 \\ \(\lambda_{\text{max}}\) & & 3.032 \\ \hline \hline \end{tabular}
\end{table} 
Table 7: The relative importance of the top factors (all 30 respondents): Among the top factors of ‘people (users)’, ‘profit (tokens)’, and ‘platform (blockchain)’, ‘people (users)’ was ranked first, with a weight of 0.487, followed by ‘platform (blockchain)’, with a weight of 0.271, and finally, ‘profit (tokens)’, with a weight of 0.242. The \(CR\) value of the top factors was 0.031. This value is lower than 0.1, which is considered as being valid. Figure 11: Weight breakdown of top factors (all 30 respondents): The weighted breakdown of the top factors was as follows: ‘people’, ‘profit’, and ‘platform’. As shown in Table 8, blockchain experts ranked 'people (users)' as the top factor, followed by 'platform (blockchain)' in second place and 'profit (tokens)' in third place. However, content experts ranked 'people (users)' the same as blockchain experts, in first place, but differed in the second- and third-place rankings. The second-place ranking was 'profit (tokens)', and the third-place ranking was 'platform (blockchain)', showing a slight difference in their views. Both groups have a \(CR\) of 0.1 or less, confirming the validity of these findings. Under the top factor of 'people (users)', there are four sub-factors: 'user participation and empowerment', 'equitable reward distribution', 'personalization of platform permissions', and 'community-strengthening mechanisms'. As shown in Table 9, among these four factors, 'user participation and empowerment' rank first, with a weight of 0.335, followed by 'equitable reward distribution' (second), 'community-strengthening mechanisms' (third), and 'personalization of platform permissions' (fourth). 'User participation and empowerment' and 'equitable reward distribution' are tied for first and second places, suggesting that these two sub-factors are the most important from a 'people (users)' perspective. 'Personalization of platform permissions' and 'community-strengthening mechanisms', which are twice as close as the first and second choices, are close third and fourth choices, respectively. The \(CI\) value is 0.044, which indicates that the respondents have provided highly consistent responses. The \(CR\) value, calculated as the \(CI\) value divided by the \(RI\) value is 0.049. This is considered as being sufficiently consistent, as it is less than or equal to 0.1. Furthermore, the maximum eigenvalue, \(\lambda_{\text{max}}\), is 4.131.