Evaluating the Use of Invisible Web Based On Max Weber's Ideal Type Model (Case Study: Scientific Staff Members of Shahid Bahonar University of Kerman)

Adel Soleimani Nejad, Ameneh Soleimani


The main purpose of present study is to figure out the web usage rate with emphasize on the invisible web, with using Max Weber's ideal type among faculty members of Science College of Bahonar University of Kerman. The present study is a survey, and the statistical population is 109 full-time faculty members of the Science college of Shahid Bahonar University of Kerman, the sample size how was 36 calculated using Cochran method. For data collection, the researchers made questionnaire were used which assessed its validity and reliability. Cronbach's alpha coefficient of .76 indicates the validity of the questionnaire. Data were analyzed using required descriptive tests, such as frequency, frequency percent, mean and standard deviation. Finally, in order to assess the practical usage and attitudes of staff members of the invisible Web, Bahonar University of Max Weber's model has been fitted, use and based on the model for analysis of Web users, four loaders, loaders, ideal type model.The findings of the study show that the main aim of searching for information by faculty were research, educational and upgrading their knowledge base in the field of their specialty. Most Web usage of faculty members in the visible web was using search engines, and in the invisible web was using databases. Google search engine and the sharing databases of university (especially science direct) have been most used tools to meet information needs of statistical society. They use advanced methods for searching and also use operators in their search strategy. Our findings showed that the faculty members use both parts of the Web to access scientific information and resources. They have been distributed in every four ideal type. 62.2% of faculty members use visible web regularly, but only 8 percent of them use invisible web regularly because of the lack of familiarity with the invisible web and lack of requiring trainings.

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