Summary: Exploratory Factor Analysis

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Results of measures The measurements were subjected to various exploratory factor analyses by using principle components with varimax rotation. Few of the items had loading problems below the accepted cut level of 0.50 and were not logically identified with any of the factors (Heene, M., Hilbert, S., Draxler, C., Ziegler, M., & Bühner, M., 2011). Due to these reasons, one item from E-service quality, one item from Tourists personal income and one item from intention to visit were dropped. The final results suggested a five factor solution with eigenvalues more than 1.0 that accounted for 69.2 percentage of the total variance. In order to obtain more detailed estimations, confirmatory factor analysis using SPSS was enlisted. As indicated in …show more content…

There was rather an increased in the (ΔR2=26, p< 0.001) Lastly, E-word of mouth has positive effects on intention to visit a tourism destination market (β=0.26, p<0.05) was noticed to be increased. The overall results propose that tourists’ personal income fully mediates information searching, E-service quality and E-word of mouth indicating that hypothesis H1a, H2a and H4a are also …show more content…

Firstly, a test was conducted for the full mediation role of tourists’ personal income on the relationship (i) between information searching and intention to visit (ii) E-service quality and intention to visit (iii) E-word of mouth and intention to visit. Secondly, contrary to the limited empirical research of the above mentioned mediation effects in Europe and other developed parts of the world; This study was conducted in Ghana which is a developing country in West Africa. Thirdly, the data were collected from employees with lower salaries from hotels, guest houses and tourists on vacation in Ghana from Europe and USA. The data collection lasted for two weeks to prevent common bias method through supervisors from the four star hotels, three star hotels and the guest houses. Important findings were discovered from the research. The findings related to the impact of information searching on the internet and tourists’ personal income are in line with the studies of (Wu, Chuang, & Chen 2008; Johnson, 2011; Mason, Junyent, A. A., & Tornatora, M. C 2014). Based on the planned behavior theory, it appears that workers with low salaries from the hotels and guest houses environment in Ghana are discouraged due to personal income revenues. However, perceived positive information searching about the prospects in Europe and America engineered them to save towards travelling to the

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