
ترجمه مقاله نقش ضروری ارتباطات 6G با چشم انداز صنعت 4.0
- مبلغ: ۸۶,۰۰۰ تومان

ترجمه مقاله پایداری توسعه شهری، تعدیل ساختار صنعتی و کارایی کاربری زمین
- مبلغ: ۹۱,۰۰۰ تومان
abstract
The paper studies the impact of the acquisition of relevant medical technology and information technology on the efficiency of hospital wards in three public hospitals in Dubai. Efficiency scores are obtained through bootstrapped data envelopment analysis, and are then regressed on variables assessing the extent of technology acquisition using truncated regression. Results show that both the acquisition of medical technology and of information technology have a positive impact on the ward efficiency, but that the strength of this relation is moderated by several variables related to organizational and managerial factors. In particular, results point out that the relationship between efficiency and technology is positively moderated by the ability of the head of ward to manage internal conflicts, by the managerial goals, and by the tenure of the head of ward. A negative moderating impact is exerted by perceived constraints to managerial actions, such as conflicting priorities with the hospital general management.
6. Discussion of moderation effects
In order to test whether the moderating variables support hypotheses H3-H7 developed in Section 2, following Aiken and West (1991); Dawson (2014); Srivastava et al. (2015), and Amores-Salvadó et al. (2015), we performed a graphical slope analysis (Figs. 2–6). On the horizontal axis we plot low/high levels of acquisition of technology, while the vertical axis represents the corresponding measure of performance. This measure of performance was obtained by inverting the inef- ficiency measure obtained from the first stage of the analysis. Low/High technology acquisition indicates values of acquisition ± one standard error from the mean, whereas zero indicates the mean value. The slope analysis was undertaken only where the interaction term was statistically significant. The different curves for each figure capture the impact of specific values (low, average, high) of the moderating variable under analysis.