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Showing 3 results for Personality

Ahmad Karimkhani, Professor Narges Neshat,
Volume 3, Issue 3 (12-2016)
Abstract

Background and Aim: To determine the relationship between big five personality factors on the behavior of saving information graduate students in Tehran.

Methods: The Correlation method work that was using the 30 a questionnaire and inform behavior questionnaire, a NEO-saving 60 Costa and Mac Carey was required for data collection. The research community, the number of doctoral and master's students 343 formed using a multi-stage cluster sampling method and from Tehran University, tarbiat modares University, Amir Kabir University and universities science research. Karyotype analysis for the results of the statistical test, Pearson and multiple step by step regressions was used.

Results: causes of low neuroticism trait in students getting the time spent for research students; and conversely, to be fitted out attribute increases the information needed to attempt to reach the students cause. Students interested in openness to experience, attribute to the new threads in it increases, and the two new adjectives to be conscientious and agreement as well as in increasing the effective relevance judgment later.

Conclusion. Psychological factors play a role as a character in the information-seeking behavior so that in accordance with the findings of the present study, 31 percent of students based on saving behavior of the notice five factors personality fitted shape. Therefore, academic libraries and information centers in the design of databases and user interfaces it is better to have a special focus on these factors.


Mostafa Baghmirani, Mohammad Reza Esmaili Givi, Mohammad Hassanzadeh, Ali Reza Noruzi,
Volume 4, Issue 3 (12-2017)
Abstract

Background and Aim: This study aims to introduce a developed conceptual model of problem finding.
Methods: This article is carried out by utilizing qualitative directed content analysis. The researcher used this method to gather new knowledge on the four features of problem finding. In total, 17 scientific sources were analyzed.
Results: This research revealed 182 codes, 22 themes that outline issues related to the research problem finding. Personality feature extended in five dimensions; psychological  feature extended in four dimensions; thinking feature (creative thinking) extended in six dimensions and (critical thinking) extended in two dimensions; and educational feature extended in five dimensions.
Conclusion: Based on available data, the number of factors identified in this study is greater and more comprehensive than that of any previous research. It could provide an added value to the current researches about problem finding. This study has also developed the previous conceptual model and utilized a directed content analysis method that has never been conducted to date in the field of problem finding.
 
Professor Zahed Bigdeli, Mr Mohammad Akbari Mahalekolaei, Mr Abdolreza Izadi,
Volume 6, Issue 2 (8-2019)
Abstract

Background and Aim: The purpose of the present research is to implement a part of Wilson's model of information behavior to approach consumer behavior. Therefore effect of personality and demographic characteristics were assessed on the information needs of mobile phone customers.
Methods: This is a descriptive correlational survey research. Instruments applied were Rammstedt & John's Personality questionnaire and a researcher made questionnaire. Population consisted of Tehran's main mobile center customers. Sample selected was 384 Mobile customers.   Hypotheses were  tested by  t- test, Spearman correlation, multivariate regression and Pearson correlation.
Findings: Findings for personality  traits reveal that: The effects of four variables including agreeableness, conscientiousness, neuroticism and openness on information needs have been confirmed and concerning the variable of extroversion, the null hypothesis has been confirmed. The demographic data showed that age, income and gender have an influence on information needs. Also, findings related to the variable of education, confirmed the significant relation of this variable with brand conscious.
Conclusion: In addition to highlighting the link between two areas of information behavior and consumer behavior, the research confirmed the relationship and effectiveness of the two intervening variables in Wilson's information behavior model with information needs.

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