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Taxonomy of e-readiness assessment measures 总被引：1，自引：0，他引：1
Payam Hanafizadeh Mohammad Reza Hanafizadeh Mohsen Khodabakhshi 《International Journal of Information Management》2009
To benefit from the advantages of information society, on the one hand, and to be afraid of being left further behind by Global Society and the increase in the digital divide, on the other hand, stimulate countries to be part of Global Information Society. These issues have led policymakers to move towards such a society by identifying the objectives, goals and targets. Planning to achieve these objectives needs a real understanding of the current situation, which is obtained by e-readiness assessment measures. There has been a proliferation of e-readiness assessment measures in recent years that each one has a certain objective. This paper elaborates on and categorizes these measures that help scholars and policymakers to (1) select the measures that fit in with their objectives, (2) prevent the repetitive research, (3) identify the defects and flaws of previous measures and correct them in their own measures, and (4) use the experiences of previous measures to construct their own ones. Based on definitions, objectives, dimensions, methods and approaches, in this paper, the measures are categorized and finally, a measure for e-readiness assessment is presented. Since this measure is a convergence of e-readiness assessment measures, the experienced modelers have consensus on it and it is more suitable to measure e-readiness of countries. Also, it can be exploited as the basis and standard for internationally comparable information society statistics. 相似文献
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Sheikhattari P Stephenson R Assasi N Eftekhar H Zamani Q Maleki B Kiabayan H 《Child abuse & neglect》2006,30(3):231-245
OBJECTIVE: This study examines the determinants of three types of child maltreatment: physical maltreatment, mental maltreatment, and child neglect among school children in the Kurdistan Province of Iran. The analysis examines the impact of socioeconomic, familial, demographic, and household dynamic factors on the three child maltreatment outcomes, and compares the differential impact of these factors across the three types of child maltreatment. A greater understanding of the factors associated with child maltreatment has the potential to inform public health interventions aimed at reducing specific forms of maltreatment and at identifying at risk populations. METHODS: Data were collected from 1,370 school students, age 11-18. Separate logistic models are fitted for six binary outcomes examining self-reported experiences of physical maltreatment in the home or school, mental maltreatment in the home or school, and child neglect in the home or school. RESULTS: Male children were more likely to report experiencing any kind of child maltreatment than girls. Residency in a rural area, poor parental relationships and the use of addictive substances by household members were associated with increased odds of reporting child maltreatment. Poor school performance was associated with the reporting of experiencing maltreatment at school. CONCLUSION: Each of the forms of child maltreatment is highly correlated with socioeconomic, demographic, and living condition factors. The results point to the strong influence that familial factors have in shaping a child's likelihood of reporting maltreatment. Characteristics of the mother were associated with maltreatment, but not characteristics of the father. The results highlight a number of mechanisms through which public health interventions may seek to reduce the prevalence of child maltreatment in Kurdistan; different approaches are needed to reduce child maltreatment in the home and school environments. 相似文献
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Naser Zamani-Miandashti Payam Memarbashi Parvin Khalighzadeh 《International Information and Library Review》2013,45(3-4):114-126
AbstractThe theory of planned behavior has received significant attention more recently. This study used a survey to apply the theory of planned behavior to predict the Internet utilization behavior among 214 undergraduate agricultural students in Iran. Coefficient correlations and linear regressions were employed to analyze relationships among constructs. Results revealed that subjective norm and intention were the strongest predictors of the Internet utilization behavior, which explained 57% of the variance. Perceived behavioral control was the most significant predictor of the Internet use intentions. Subjective norms, to a lesser degree also had important influences on intention. Attitude did not surface as an effective direct predictor of the Internet utilization behavior. Finally, the theory of planned behavior was supported as an effective model explaining the Internet utilization behavior. The most prevalent reason to stop using the Internet was that they were experiencing problems getting access to the Internet. 相似文献
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In this research, a combination of both quantitative and qualitative approaches is used to identify different market segments in the education industry. To solve the research problem, an exploratory approach to data mining is used and, using a series of interviews with experts, the factors affecting segmentation are identified. Then, using the clustering method (in the form of specific two-step and K-means algorithms), customers are clustered and features of each cluster are identified. This research is based on data provided by a large Iranian research and education company. After examining the clusters identified in both methods, it is determined that the clusters provided by the two-step algorithm are more in line with the organizational and market reality of the business. Finally, the marketing mix model is used to formulate strategic approaches and actions. 相似文献
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Payam Hanafizadeh Mohammad Reza Hanafizadeh Mohsen Khodabakhshi 《The Information Society》2013,29(4):236-247
In this article a methodology is presented to extract indicators that appropriately measure the information society and the digital divide between countries and the relevant statistics that the majority of countries can collect. With the help of content analysis, the entropy method, and consideration of the diffusion aspects of digitalization, 37 reputable information society and digital divide models are analyzed to indentify “core information and communication technology (ICT) indicators.” To overcome the limitation of the nonexistence of data, the information and the knowledge embedded in information society and digital divide models are employed as proxies for experts' opinions for extracting the core ICT indicators. Comparison of the prior indicators and the proposed ones reveals that the former ignore three important dimensions: e-learning, e-government, and networked world enablers. 相似文献
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