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Showing 4 results for Information-Seeking Behavior
A survey of Everyday -Life Information Seeking (ELIS) and Information Grounds of Armenians in Tehran
Mr Zahed Bigdeli, Zahra Pourmosavi,
Volume 4, Issue 4 (3-2018)
Volume 4, Issue 4 (3-2018)
Abstract
Background and Aim: This study attempted to identify Everyday Life Information Seeking (ELIS) and Information Grounds (IG) of Armenians in Tehran .
Methods: The study is of a cross-sectional survey type. The study sample consisted of individuals older than 15 years. Total population was 30,000, of whom 20,000 were over 15 –year-old individuals. Using the Kerjcie– Morgan table, 377 individuals were selected as sample.
Results: Data analysis showed that the kind and amount of use of the Iinformation Grounds were as follows: the home of rlatives and friends (55.5%), workplace (47.8%) and church (47.5%). The results also showed that the Armenians had a positive attitude towards information and its role in everyday life. Most Armenians used Persian websites and Persian-language satellite networks abroad; but they seldom used National Media's Persian-language programs. Armemians obtained most information from various media including books, magazines and satellite networks. They preferred to communicate with other Armenians throught social networks; and believed that public libraries do not consider Armenian culture, and thus, they can not find information about the history and culture of Armenians in public libraries.
Conclusion: It can be concluded that Armenians in Tehran like many other Iranian minorities are deprived of services by public libraries and national media. It is essential for the government to reconsider the issue.
Behnaz Jalalie, Mitra Ghiasi, Safieh Tahmasebi Lmoni,
Volume 6, Issue 4 (3-2020)
Volume 6, Issue 4 (3-2020)
Abstract
Aim: Growing number social network users for communicating between groups has made them a major segment of people's social life. So, the purpose of this study is to identify the factors affecting the use of social networks and information-seeking behavior in daily life of the Kurds in virtual networks and effect of ethnic identity on the behavior of information-seeking in their daily life.
Methodology: Research is an applied and quantitatively exploratory in terms of data analysis. Questionnaire was used which its validity was obtained by Delphi method and its reliability based on the weights test model, was significant in all weights of the combined external model with 99% confidence. Population consisted of 70,696 people from different social classes of the Kurds of Kermanshah. The sample size based on Cochran's formula was 480 users who were members of one of the online public and specialized social networks.
Systematic stratified random sampling was used in terms of percentage of jobs. Bartlett test, exploratory and confirmatory factor analysis was used to analyze the data.
Findings: Findings show that all identified factors have the ability to predict the behavior of Kurds’ in information seeking in cyberspace: Leisure with standard coefficient of 0.82, cultural information with coefficient of 0.68, scientific information with coefficient of 0.56, economic information with coefficient of 0.75, social information with The coefficient of 0.74 and the consumption pattern with a coefficient of 0.52. Also, language with a coefficient of 0.30 and customs with a standard coefficient of 0.76 can predict the ethnic identity. In addition, virtual networks and ethnic identities with a coefficient of 0.54 are able to predict changes in the informational behavior of Kurds’ everyday life.
Conclusion: Leisure, cultural information, scientific information, economic information, social information, and consumption pattern were discovered and identified as factors influencing information seeking behavior in daily life, as well as language and customs were confirmed as factors of ethnic identity affecting the information-seeking behavior of the Kurds of Kermanshah.
Dr Zivar Sabaghinejad, Mr Reza Poorsavari, Dr Amin Koraei,
Volume 9, Issue 4 (1-2023)
Volume 9, Issue 4 (1-2023)
Abstract
Introduction: The present study was conducted by explaining the internal norm of Davis's technology acceptance model in online health information search among Iranian students to provide a local model.
Methods: The current research is descriptive and was carried out using a survey method. The research community is the students of Ahvaz Jundishapur University of Medical Sciences at all levels of study. A sample of 358 people voluntarily participated in the research by stratified random sampling. The research tool was a researcher-made questionnaire with 20 questions, which after validation, Cronbach's alpha was 0/933 Obtained. The findings were analyzed with SPSS and AMOS software and using descriptive statistical tests, exploratory factor analysis, and other related tests.
Results: The findings of the exploratory factor analysis led to a four-factor model regarding students' online search for health information. The first factor: is the user's intention to search for health information online, the second factor: is the usefulness of using the Internet to receive health information, the third factor: is the ease of using the Internet to receive health information, and the fourth factor is the user's attitude towards the online search for health information. These four factors explain 66.983% of the changes related to the online search of health information among students.
Conclusion: The findings of the research indicate the approval of the Davis technology acceptance model for use in research in the field of health information among Iranian students. Therefore, it can be used in other research in this field among students with the assurance of confirming the internal norm.
Methods: The current research is descriptive and was carried out using a survey method. The research community is the students of Ahvaz Jundishapur University of Medical Sciences at all levels of study. A sample of 358 people voluntarily participated in the research by stratified random sampling. The research tool was a researcher-made questionnaire with 20 questions, which after validation, Cronbach's alpha was 0/933 Obtained. The findings were analyzed with SPSS and AMOS software and using descriptive statistical tests, exploratory factor analysis, and other related tests.
Results: The findings of the exploratory factor analysis led to a four-factor model regarding students' online search for health information. The first factor: is the user's intention to search for health information online, the second factor: is the usefulness of using the Internet to receive health information, the third factor: is the ease of using the Internet to receive health information, and the fourth factor is the user's attitude towards the online search for health information. These four factors explain 66.983% of the changes related to the online search of health information among students.
Conclusion: The findings of the research indicate the approval of the Davis technology acceptance model for use in research in the field of health information among Iranian students. Therefore, it can be used in other research in this field among students with the assurance of confirming the internal norm.
Dr. Afshin Hamdipour, Dr. Hashem Atapour, Negin Kajaiee,
Volume 11, Issue 3 (12-2024)
Volume 11, Issue 3 (12-2024)
Abstract
Information Seeking Behavior is a broad term encompassing a series of actions undertaken to articulate individuals’ information needs, search for information, evaluate it and select relevant data, ultimately leading to its use (Ozowa and Aba, 2017). According to Case and Given (2016), information-seeking is an integral part of human life. They note that humans frequently feel the need for information and actively seek it throughout their daily lives. In their research, which examined the information-seeking behaviors of professionals from various fields, including physicians, nurses, managers, engineers, journalists, customers, and other groups, the authors found significant differences in the information-seeking behaviors of various professions. These differences can be attributed to professional roles, work environments, and specific information needs. As a dimension of human behavior, information-seeking is influenced by numerous factors. Given the critical role of psychological aspects in shaping human information-seeking behavior and their impact on the interaction between humans and information, addressing these factors is vital. The increasing focus on user-centered (human-centered) studies in recent decades highlights the importance of such studies. This research explores personality traits that influence the information-seeking behavior of graduate students at the University of Tabriz.
Methods and Materials
This study used a descriptive-survey method. The statistical population comprised 2,826 graduate students (2,258 master’s and 568 doctoral students from 17 faculties at the University of Tabriz, excluding dependent units and the international campus, during the first semester of the 2022-2023 academic year. The students were enrolled in four fields: humanities, basic sciences, engineering, and agriculture. Using Cochran’s formula, the sample size was calculated to be 338 students selected through stratified random sampling. The study employed a localized version of John and Srivastava’s (1999) questionnaire for data collection. The questionnaire included two sections: six demographic items and 42 items rated on a five-point Likert scale to assess information-seeking behavior and five personality traits (Extraversion, Conscientiousness, Agreeableness, Openness to Experience, Neuroticism). Validity was ensured through expert review by five faculty members, and reliability was confirmed using Cronbach’s alpha, with coefficients ranging from 0.588 to 0.903. Data were analyzed using descriptive statistics (frequency, mean, standard deviation) and inferential statistics (multiple linear regression). Skewness and kurtosis coefficients that fell within ±2 confirmed the normal distribution of the data.
Results and Discussion
The findings of the present study showed that all five dimensions of personality traits (extroversion, conscientiousness, adaptability, acceptance of experience, and neuroticism with averages of 4.13, 3.94, 3.99, 4.11, and 2.69 respectively) have a significant effect on the information-seeking behavior of graduate students at Tabriz University; Specifically, Extraversion, Conscientiousness, Agreeableness, and Openness to Experience demonstrated positive effects, while Neuroticism exhibited a negative effect. Other results showed that among information-seeking behaviors, "referring to the Internet to obtain information" has the highest priority among students, with an average of 4.72. In the extraversion dimension, "being friendly in the process of acquiring information" is the most important, with an average of 4.34. In the dimension of conscientiousness, "observance of order in the process of obtaining information" has the highest average score, with an average score of 4.22. In the adaptability dimension, "tendency to cooperate with others during information searching" has the highest score with an average of 4.29. In the experience acceptance dimension, "having an active imagination in the information seeking process" has the highest rank with an average of 4.42. In the dimension of neuroticism, "being nervous in the process of finding information" is the highest average score (3.03). The results of multiple linear regression also showed that the independent variables, extroversion, conscientiousness, adaptability, acceptance of experience, and neuroticism are significant predictors of information-seeking behavior, which explain 25.6% of the changes related to the dependent variable. Among the 5 independent variables, the conscientiousness variable, with a beta coefficient of 0.220, made a greater contribution than the other variables.
Conclusion
The findings of this study confirmed the effect of five important personality traits on information-seeking behavior. It is expected that librarians and information specialists will consider the different aspects of personality traits in information-seeking behavior and pay attention to the fact that knowledge of these issues will help them to provide effective information services to students. According to the findings of the present study, it is recommended that the libraries of University of Tabriz establish information systems based on individual student differences to facilitate an optimal environment for information searching. In addition, organizing workshops on communication skills can help students perform more effectively in information-seeking activities. These skills can be beneficial for both extroverted and even neurotic students. It is also recommended that information system designers tailor their systems and services based on the needs and personality traits of students. Furthermore, it is recommended that librarians receive the necessary training to identify students’ individual characteristics and differences and provide information services tailored to their personality traits during interactions with users. Finally, offering psychological counseling and stress management support for students can help them reduce their anxiety and improve their performance in information-seeking activities. This is particularly beneficial for students with high neuroticism levels.
Methods and Materials
This study used a descriptive-survey method. The statistical population comprised 2,826 graduate students (2,258 master’s and 568 doctoral students from 17 faculties at the University of Tabriz, excluding dependent units and the international campus, during the first semester of the 2022-2023 academic year. The students were enrolled in four fields: humanities, basic sciences, engineering, and agriculture. Using Cochran’s formula, the sample size was calculated to be 338 students selected through stratified random sampling. The study employed a localized version of John and Srivastava’s (1999) questionnaire for data collection. The questionnaire included two sections: six demographic items and 42 items rated on a five-point Likert scale to assess information-seeking behavior and five personality traits (Extraversion, Conscientiousness, Agreeableness, Openness to Experience, Neuroticism). Validity was ensured through expert review by five faculty members, and reliability was confirmed using Cronbach’s alpha, with coefficients ranging from 0.588 to 0.903. Data were analyzed using descriptive statistics (frequency, mean, standard deviation) and inferential statistics (multiple linear regression). Skewness and kurtosis coefficients that fell within ±2 confirmed the normal distribution of the data.
Results and Discussion
The findings of the present study showed that all five dimensions of personality traits (extroversion, conscientiousness, adaptability, acceptance of experience, and neuroticism with averages of 4.13, 3.94, 3.99, 4.11, and 2.69 respectively) have a significant effect on the information-seeking behavior of graduate students at Tabriz University; Specifically, Extraversion, Conscientiousness, Agreeableness, and Openness to Experience demonstrated positive effects, while Neuroticism exhibited a negative effect. Other results showed that among information-seeking behaviors, "referring to the Internet to obtain information" has the highest priority among students, with an average of 4.72. In the extraversion dimension, "being friendly in the process of acquiring information" is the most important, with an average of 4.34. In the dimension of conscientiousness, "observance of order in the process of obtaining information" has the highest average score, with an average score of 4.22. In the adaptability dimension, "tendency to cooperate with others during information searching" has the highest score with an average of 4.29. In the experience acceptance dimension, "having an active imagination in the information seeking process" has the highest rank with an average of 4.42. In the dimension of neuroticism, "being nervous in the process of finding information" is the highest average score (3.03). The results of multiple linear regression also showed that the independent variables, extroversion, conscientiousness, adaptability, acceptance of experience, and neuroticism are significant predictors of information-seeking behavior, which explain 25.6% of the changes related to the dependent variable. Among the 5 independent variables, the conscientiousness variable, with a beta coefficient of 0.220, made a greater contribution than the other variables.
Conclusion
The findings of this study confirmed the effect of five important personality traits on information-seeking behavior. It is expected that librarians and information specialists will consider the different aspects of personality traits in information-seeking behavior and pay attention to the fact that knowledge of these issues will help them to provide effective information services to students. According to the findings of the present study, it is recommended that the libraries of University of Tabriz establish information systems based on individual student differences to facilitate an optimal environment for information searching. In addition, organizing workshops on communication skills can help students perform more effectively in information-seeking activities. These skills can be beneficial for both extroverted and even neurotic students. It is also recommended that information system designers tailor their systems and services based on the needs and personality traits of students. Furthermore, it is recommended that librarians receive the necessary training to identify students’ individual characteristics and differences and provide information services tailored to their personality traits during interactions with users. Finally, offering psychological counseling and stress management support for students can help them reduce their anxiety and improve their performance in information-seeking activities. This is particularly beneficial for students with high neuroticism levels.
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