Table 4.

Logistic regression output and obtained odds ratio for the prediction of the presence of a tool for automated estrus detection (AED), milk yield recording (AMYR), and mastitis detection (AMD) in the farms, as determined by the analysis of individual convenience factors.

Variable	β Estimate	SE	p-Value	Odds Ratio	95% CI
Automated estrus detection (AED)
(Intercept)	0.31410	0.91245	0.731	1.3690	0.2185–8.3691
Farmer’s age	−0.14623	0.08348	0.080	0.8640	0.7325–1.0167
Benefit-to-cost ratio	0.31144	0.15348	0.042	1.3654	1.0162–1.8596
Third party opinions on tool performance	0.13922	0.08506	0.102	1.1494	0.9737–1.3599
The user-friendly degree of the new tool	0.23100	0.09097	0.011	1.2599	1.0569–1.5115
Time needed for information and data management	−0.23370	0.09760	0.017	0.7916	0.6496–0.9543
Improvement of estrus and health monitoring	−0.37110	0.17316	0.032	0.6900	0.4869–0.9653
Automated milk yield recording (AMYR)
(Intercept)	−0.30732	0.43749	0.482	0.7354	0.3095–1.7338
Third party opinions on tool performance	0.18046	0.08225	0.028	1.1978	1.0209–1.4102
Time needed for information and data management	−0.17403	0.08270	0.035	0.8403	0.7130–0.9877
Automated mastitis detection (AMD)
(Intercept)	−3.01592	1.08641	0.006	0.0490	0.0047–0.3454
Farmer’s age	−0.17291	0.09641	0.073	0.8412	0.6960–1.0166
Benefit-to-cost ratio	0.51180	0.22292	0.022	1.6683	1.1081–2.6796
Total investment cost	−0.18976	0.10894	0.082	0.8272	0.6680–1.0255
Third party opinions on tool performance	0.22645	0.10287	0.028	1.2541	1.0277–1.5393
The user-friendly degree of the new tool	0.17373	0.11113	0.118	1.1897	0.9643–1.4936
Time needed for information and data management	−0.18919	0.10619	0.075	0.8276	0.6729–1.0242

β = regression coefficient. SE = Standard Error. CI = Confidence Interval.