“…According to Hair, Black, Babin, Anderson, and Tatham (2006), the results of factors analysis are appropriate variables for subsequent application to other statistical techniques, that is stepwise regression analysis. These methodology steps have been previously applied in relevant scientific researches (Al-Qirim, 2005;Claycomb, Iyer, & Germain, 2005;Crabbe et al, 2009;El-Kasheir et al, 2009;Gottschalk & Abrahamsen, 2002;Grewal, Comer, & Mehta, 2001;Le, Rao, & Truong, 2004;McCloskey, 2006;Rao, Truong, Senecal, & Le, 2007;Wei et al, 2009) in order to give the final, valid constructs of the suggested model.…”
Section: Methodology and Resultsmentioning
confidence: 99%
“…Although TAM is negatively criticized by a team of researchers, it compares favorably to TRA and TPB (El-Kasheir, Ashour, & Yacout, 2009). When deeper explanation of user adoption intention is desired, it allows other factors to be incorporated easily into its basic model (Hong, Thong, & Tam, 2006).…”
This study presents a conceptual model that combines perceived ease of use, perceived usefulness, innovativeness, trust, demographic characteristics and relationship drivers in order to examine their influence on the mobile services’ adoption intention. The proposed model is empirically tested using data collected from a survey with questionnaires conducted in Greece. The results are analyzed through factor analysis, stepwise regression analysis, and ANOVAs. The findings show that individuals’ innovativeness, their educational level, and the relationship ties between the users and the mobile services are key factors to encourage m-services’ adoption. The results provide interesting insights and useful hints to practitioners and researchers.
“…According to Hair, Black, Babin, Anderson, and Tatham (2006), the results of factors analysis are appropriate variables for subsequent application to other statistical techniques, that is stepwise regression analysis. These methodology steps have been previously applied in relevant scientific researches (Al-Qirim, 2005;Claycomb, Iyer, & Germain, 2005;Crabbe et al, 2009;El-Kasheir et al, 2009;Gottschalk & Abrahamsen, 2002;Grewal, Comer, & Mehta, 2001;Le, Rao, & Truong, 2004;McCloskey, 2006;Rao, Truong, Senecal, & Le, 2007;Wei et al, 2009) in order to give the final, valid constructs of the suggested model.…”
Section: Methodology and Resultsmentioning
confidence: 99%
“…Although TAM is negatively criticized by a team of researchers, it compares favorably to TRA and TPB (El-Kasheir, Ashour, & Yacout, 2009). When deeper explanation of user adoption intention is desired, it allows other factors to be incorporated easily into its basic model (Hong, Thong, & Tam, 2006).…”
This study presents a conceptual model that combines perceived ease of use, perceived usefulness, innovativeness, trust, demographic characteristics and relationship drivers in order to examine their influence on the mobile services’ adoption intention. The proposed model is empirically tested using data collected from a survey with questionnaires conducted in Greece. The results are analyzed through factor analysis, stepwise regression analysis, and ANOVAs. The findings show that individuals’ innovativeness, their educational level, and the relationship ties between the users and the mobile services are key factors to encourage m-services’ adoption. The results provide interesting insights and useful hints to practitioners and researchers.
“…Fire blight is undoubtedly the most serious disease that affects pear plantation in Egypt. The productivity of pears in Egypt has been seriously decreased due to the severe epidemic outbreaks of this disease in Alexandria and El-Behera Governorates starting from 1982 (Abo-El-Dahab, 1985;Abo-El-Dahab et al, 1983, 1984. The pathogen was progressively detected in different regions in Egypt, reaching pear orchards in Kafer El-Sheikh, Monofia and Nobaria and leading to severe damages in approximately all regions of Nile delta (Ashmawy, 2010).…”
Eleven Erwinia amylovora isolates, the causal agent of the fire blight disease, were isolated from apple orchards adjacent to those of pears showing fire blight disease symptoms. Initial characterization concerning morphological and biochemical traits revealed that all isolates were typical to those of E. amylovora. Furthermore, all bacterial isolates showed typical symptoms of the fire blight disease upon infection of unripe pear fruits. Molecular characterization of these isolates via PCR utilizing specific primers based on a region of plasmid pEA29 and chromosomal DNA ams-region was performed. PCR products were positive and represented the expected length 1.1 and 1.6 kb, respectively. Moreover, PCR reactions utilizing the 16S rRNA universal primers were carried out. DNA sequence of PCR products and analysis via blast and Genbank data showed that, the bacterial isolates actually belonging to E. amylovora. Moreover, there are interference between these Erwinia isolates and identified E. amylovora strains based on constructed phylogenetic analysis. To the best of our knowledge this is the first report of fire blight of apples caused by E. amylovora in Egypt.
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