Search results

Despite evidence largely confirming gender-based differences in service quality perceptions in healthcare, little research has considered patients’ expectations. This study aims to examine the gender-based differences in both the affective and cognitive components of customers’ service quality expectations.

Data were collected through random sampling from three outpatient hospitals in the UAE. Hypothesized relationships between the cognitive and affective components (moderated by gender) were tested by means of CFA and ANOVA.

The results indicate that the differences between male and female expectations of overall service quality as a singular construct were not statistically significant, except for the empathy dimension. However, when measured as affective and cognitive, the results confirm that significant differences do exist between male and female patients.

The research was limited to the UAE. However, identifying gender differences in patients’ expectations would enable healthcare providers to engage and manage patients’ expectations.

This paper provides theoretical and practical implications on how the male and female are different in the cognitive and affective components of service quality expectations.

Nature is the single and most complex system that has been always studied, and no one can compete Mother Nature, but we can learn from her, by many new methodologies through biology. The paper aims to discuss this issue.

In this paper, being inspired by the mechanism through which our Mother Nature handling human taste, a proposed model for clustering and classification hand gesture is introduced based on human taste controlling strategy.

The model can extract information from measurement data and handling it as the structure of tongue and the nervous systems of human taste recognition.

The efficiency of proposed model is demonstrated experimentally on classifying the sign language data set; in the high recognition accuracy obtained for numbers of ASL was 95.52 percent.