Search published articles
Showing 3 results for Model.
Dr Safiyeh Tahmasebi Limooni,
Volume 7, Issue 4 (3-2021)
Volume 7, Issue 4 (3-2021)
Abstract
Objective: The aim is to discover the underlying context components of IOT usability in Iranian libraries: A qualitative approach consistent with grounded theory.
Method: This qualitative study was conducted based on grounded theory. Data were collected through semi-structured interviews with 13 faculty members of knowledge and information science based on purposeful and chain methods. Responsive and inter-docking method (repeatability index) had been used for validity and reliability.
Findings: By reviewing the texts and propositions obtained from the interviews, 7 basic components of IoT usability in Iranian libraries were identified from 36 categories and concepts. These include communication and exchange of information, awareness and cognition, intelligences, Information findability, information literacy, self-reliance and automating, and structures and infrastructures.
Conclusion: The identified underlying components provide a suitable platform for the rule and realization of the main phenomenon of IoT usability in Iranian libraries. Based on the results, the paradigm and theoretical model of IoT usability is drawn and presented in Iranian libraries. By identifying the underlying components and their relationship in the theoretical model and based on the attitudes of interviewees in Iranian libraries, libraries could use it to establish and implement IoT.
Mansour Torkiantabar,
Volume 10, Issue 1 (6-2023)
Volume 10, Issue 1 (6-2023)
Abstract
Purpose: This study was conducted to evaluate the organizational learning process of university library librarians based on the Marquardt model.
Methodology: This research is applied in terms of purpose and descriptive-survey method. The statistical population includes 552 librarians at the libraries of the Islamic Azad University. The sample size was estimated to be 227 people using the Krejcie Morgan table. To collect the required data for the research, a researcher-made questionnaire was used to assess the five components of learning organization based on the Marquardt model (learning dynamics, organizational transformation, empowerment of individuals, knowledge management, and application of technology). The collected data were analyzed using SPSS26 statistical software and statistical formulas of Kolmogorov-Smirnov, Cronbach's alpha, and t-test.
Findings: The results showed that organizational learning in the libraries of Islamic Azad University has a favorable situation and this situation for all five components (learning dynamics, organizational change, empowerment, knowledge management, and technology application) Was also approved.
Conclusion: Although the results of this study indicate the favorable situation of organizational learning in the libraries of Islamic Azad University, the continuation of this type of learning due to the many changes and developments that we see in the world today for all organizations, especially types Libraries are a basic necessity.
Methodology: This research is applied in terms of purpose and descriptive-survey method. The statistical population includes 552 librarians at the libraries of the Islamic Azad University. The sample size was estimated to be 227 people using the Krejcie Morgan table. To collect the required data for the research, a researcher-made questionnaire was used to assess the five components of learning organization based on the Marquardt model (learning dynamics, organizational transformation, empowerment of individuals, knowledge management, and application of technology). The collected data were analyzed using SPSS26 statistical software and statistical formulas of Kolmogorov-Smirnov, Cronbach's alpha, and t-test.
Findings: The results showed that organizational learning in the libraries of Islamic Azad University has a favorable situation and this situation for all five components (learning dynamics, organizational change, empowerment, knowledge management, and technology application) Was also approved.
Conclusion: Although the results of this study indicate the favorable situation of organizational learning in the libraries of Islamic Azad University, the continuation of this type of learning due to the many changes and developments that we see in the world today for all organizations, especially types Libraries are a basic necessity.
Dr. Mohammad Moradi, ,
Volume 12, Issue 1 (5-2025)
Volume 12, Issue 1 (5-2025)
Abstract
Introduction
Social networks and their increasing influence among different users in all parts of the world have made these networks become suitable tools for advertising and e-commerce. Today, businesses have come to understand that social networks are and will continue to be a means of doing business. Instagram is a popular social network based on video and images. This social network is known as one of the powerful marketing tools. The number of views, likes and comments on social networks, including Instagram, plays a significant role in customer decision-making; Because they pay attention to the opinions and reception of other audiences towards that product or post and are influenced. This research analyzes what factors create posts with different levels of popularity. For this purpose, the factors affecting the number of views, likes and comments in an Instagram social network post are extracted and their weight and importance are calculated based on the regression model. Finally, the decision tree model is presented for forecasting and management in order to increase the number of visits, likes and comments.
Methods and Materoal
In this research, the type of research is based on the purpose of applied research. At first, library studies have been used in order to extract factors affecting the amount of visits, likes and comments in Instagram social network marketing posts. The statistical population includes all articles related to the factors affecting visits, likes and comments. The probability sampling method of simple random samples has been used and 30 articles in this field have been reviewed. Then, the data related to the factors identified from the previous stage have been extracted from the pages of big marketers on the Instagram social network. Then, using the extracted data and using the regression model, the weight and importance of each factor affecting the number of visits, likes, and comments of Instagram social network marketers' posts has been calculated. Finally, a decision tree model has been created to predict the status (rate of visits, likes and comments) of a marketing post on the Instagram social network based on the characteristics of that post.
Resultss and Discussion
Directly, factors such as the number of posts, the number of followers, the type of post, the content of the post and the time of the post are potential factors that affect the number of views, likes and comments. According to the obtained results, the "post content with survey" factor with a positive sign and a coefficient of 420,290.616 had the most positive effect on the label, which is the number of visits to a post. The factor "discount post content" with a positive sign and a coefficient of 5417.751 has had the most positive effect on the label, which is the liking of a post. The factor "discount post content" with a positive sign and a coefficient of 2164.016 has had the most positive effect on the label, which is the amount of comments on a post. Also, the type of image post with a regression coefficient of 565.153 and a negative sign in the investigation of factors affecting the number of comments shows that the use of video posts will increase the comments and interaction of customers.
Conclusion
Most of the researches conducted, such as Gkikas et al (2022), Torbarina, Jelenc & Brkljačić (2020), Wahid & Gunarto (2022), etc., only investigated the influence of a few specific factors on the likes and comments of social media posts, and a comprehensive set of factors has not been investigated. Also, these factors were only for checking likes or opinions and not checking both cases. Most importantly, in the studies conducted, only the positive or negative impact of a factor on the number of likes and opinions has been discussed, and their importance has not been determined. In this research, various factors affecting the number of visits, likes and comments of social network posts were investigated. Also, the importance of each factor was determined. In addition, a decision tree model was presented to manage related pages and posts in order to achieve increased likes and comments. Based on the extracted effective factors, calculating the weight and importance of each factor and the created decision tree model, posts can be managed to increase the number of visits, likes and comments
Social networks and their increasing influence among different users in all parts of the world have made these networks become suitable tools for advertising and e-commerce. Today, businesses have come to understand that social networks are and will continue to be a means of doing business. Instagram is a popular social network based on video and images. This social network is known as one of the powerful marketing tools. The number of views, likes and comments on social networks, including Instagram, plays a significant role in customer decision-making; Because they pay attention to the opinions and reception of other audiences towards that product or post and are influenced. This research analyzes what factors create posts with different levels of popularity. For this purpose, the factors affecting the number of views, likes and comments in an Instagram social network post are extracted and their weight and importance are calculated based on the regression model. Finally, the decision tree model is presented for forecasting and management in order to increase the number of visits, likes and comments.
Methods and Materoal
In this research, the type of research is based on the purpose of applied research. At first, library studies have been used in order to extract factors affecting the amount of visits, likes and comments in Instagram social network marketing posts. The statistical population includes all articles related to the factors affecting visits, likes and comments. The probability sampling method of simple random samples has been used and 30 articles in this field have been reviewed. Then, the data related to the factors identified from the previous stage have been extracted from the pages of big marketers on the Instagram social network. Then, using the extracted data and using the regression model, the weight and importance of each factor affecting the number of visits, likes, and comments of Instagram social network marketers' posts has been calculated. Finally, a decision tree model has been created to predict the status (rate of visits, likes and comments) of a marketing post on the Instagram social network based on the characteristics of that post.
Resultss and Discussion
Directly, factors such as the number of posts, the number of followers, the type of post, the content of the post and the time of the post are potential factors that affect the number of views, likes and comments. According to the obtained results, the "post content with survey" factor with a positive sign and a coefficient of 420,290.616 had the most positive effect on the label, which is the number of visits to a post. The factor "discount post content" with a positive sign and a coefficient of 5417.751 has had the most positive effect on the label, which is the liking of a post. The factor "discount post content" with a positive sign and a coefficient of 2164.016 has had the most positive effect on the label, which is the amount of comments on a post. Also, the type of image post with a regression coefficient of 565.153 and a negative sign in the investigation of factors affecting the number of comments shows that the use of video posts will increase the comments and interaction of customers.
Conclusion
Most of the researches conducted, such as Gkikas et al (2022), Torbarina, Jelenc & Brkljačić (2020), Wahid & Gunarto (2022), etc., only investigated the influence of a few specific factors on the likes and comments of social media posts, and a comprehensive set of factors has not been investigated. Also, these factors were only for checking likes or opinions and not checking both cases. Most importantly, in the studies conducted, only the positive or negative impact of a factor on the number of likes and opinions has been discussed, and their importance has not been determined. In this research, various factors affecting the number of visits, likes and comments of social network posts were investigated. Also, the importance of each factor was determined. In addition, a decision tree model was presented to manage related pages and posts in order to achieve increased likes and comments. Based on the extracted effective factors, calculating the weight and importance of each factor and the created decision tree model, posts can be managed to increase the number of visits, likes and comments
| Page 1 from 1 |
Related Websites
Site Keywords
نشریه, Academic Journal, Scientific Article, کلمه شماره یک, کلمه شماره یک, کلمه شماره یک, کلمه شماره یک, کلمه شماره دو, کلمه شماره یک, کلمه دوVote
© 2025 CC BY-NC 4.0 | Human Information Interaction
Designed & Developed by : Yektaweb