# Integrative Factors of E-Health Laboratory Adoption: A Case of Indonesia
## 6 Discussion
### Theoretical Implications  
Finally, the peak analysis of this study resulted in the determinant variables which were significantly correlated and the variables which were not correlated with the perceived usefulness and perceived ease of use in the adoption of an e-health laboratory system especially in Indonesia. These findings could be used to strengthen and underlie previous theories and studies. The findings that strengthened the theory were the variables that had a significant and positive correlation while the findings that were different from the theory were the variables that were not significant and negatively correlated.  
From a theoretical perspective, this research integrated D&M and TTF to explain adoption from e-health laboratories. We found that TTF and personal innovativeness did not have a significant effect on the perceived ease of use variable, but TTF showed a significant effect on the perceived usefulness along with information quality, accessibility, and personal innovativeness variables. Whereas, the design did not have a significant effect on the perceived usefulness. However, as a whole, the variables of perceived usefulness and perceived ease of use had a significant effect on e-health laboratory adoption. This research contributed to the theory because it provided insight into the integration factors outlined above that influenced the adoption of e-health laboratories in Indonesia. The results obtained for the relationship of integration factors had two results, most of which supported the results of previous studies in different objects. Some findings gave different results from previous studies. This becomes interesting to be studied in further research.  
With this result, there are three research contributions: first, increasing limited knowledge about e-health laboratory adoption. To our knowledge, most of the research has not focused on prospective users of e-health laboratories, especially in Indonesia. This was an area of research that had not yet been explored. This research successfully integrated various popular technology adoption of the D&M model ([PERSON] & McLean [56; 58; 97]) and the TTF model ([PERSON], [43]), to the extent that our new knowledge was combined in e-health laboratory adoption. This study examined the importance of TTF in user adoption by also considering the technology driven and human driven cases of e-health laboratory adoption models, which has not been done by previous researchers. Because our research was based on established theories, the integration of this proposed model contributes to the discipline of information systems theory. Second, this study provides an overview and results regarding the attitude of the adoption of e-health laboratory users, especially in Indonesia, especially regarding the integrative factors of perceived usefulness and perceived ease of use of TTF, information quality, accessibility, design, and personal innovation for e-health laboratory adoption that had never been done in Indonesia. Third, because of the novelty of e-health laboratories in Indonesia, this study was successful in measuring the adoption of e-health laboratories in its users. This research will benefit future researchers who will observe technology adoption. The model proposed in this study can serve as a model for determining the integration factors in technology and can be used as a comparison basis for future research. Therefore, the results of this research can be used to enrich research and scientific studies on e-health laboratories in Indonesia.