مجله تعامل انسان و اطلاعات
سال هفتم شماره 1 (بهار 1399)

The main purpose was to investigate the students’ information sharing behavior in social network sites with a qualitative approach.

An applied research with qualitative approach - A Thematic Analysis method was used.  Population consisted of all the students at the Universities in South Khorasan Province affiliated with the Ministry of Science, Research and Technology who had a  minimum of six months experience in using one of the social network sites such as: Telegram, Instagram or WhatsApp.   A non-probability (non-random), and a snowball sampling procedure was used and 17 persons were interviewed. The semi-structured type of interview was incorporated.

Results showed that most students’ information sharing was done on Telegram and Instagram, respectively. Eighteen primary codes were provided by  students as motives for information sharing in social network sites. These primary codes were categorized into two main categories (personal and social motives) and seven subcategories. Among all the primary codes of the two main categories, the sub-category of “net-surfing and entertainment” had the highest occurrence. For the types of information shared on social network sites by student, 24 primary codes were obtained. These primary codes were categorized into eight sub-categories and two main categories (knowledge and entertaining information). Among the sub-categories identified, the most recurrently shared types of information were “literary-artistic information” and “scientific-educational information”.

For surfing and entertainments’ own good - information sharing on social network sites could lead to admittance of valuable information. If properly planned, it may function as a suitable platform (available to diverse strata of the society, especially the students, at the lowest possible cost) to attain the best possible practice especially in educational settings.

Four text mining methods are examined and focused on understanding and identifying their properties and limitations in subject discovery.

The study is an analytical review of the literature of text mining and topic modeling. 

LSA could be used to classify specific and unique topics in documents that address only a single topic. The other three text mining methods focus on topics and general partiality of the text. PLSA is applicable to documents dealing with a topic, unlike the LSA, it is used to discover general themes and contexts. However, LDA is more applicable to documents that address several issues. The CTM, method can be used to identify relationship between different subject categories.

Text mining tactics are suitable for employing analysis in discovering and extracting the text subjects.

The purpose of this paper is to determine the factors affecting the use of enterprise social networks, the types of usage behavior and the consequences of using these networks.

This is a descriptive study. The qualitative inquiries of previous researches in the social networking enterprise had been investigated by means of  meta-synthesis. A total of 470 found source of meta-synthesis process, 30 papers were consistent with accepted criteria.

As a result of the combination of the findings, 52 codes and 10 main concepts (individual, organizational, social, technical factors and others related to the task, active use and passive use, consequences for the individual level, group level and organizational level) were identified. In conclusion, three categories were identified:  factors affecting use, usage behavior and consequences of use that the concepts of individual, organizational, social, technical, and others related to the task as factors affecting use, as well as the concepts of active use and passive use in the category of behavioral usage were classified. In addition, individual, group and organizational level were also classified as concepts related to the significances of use category.  Among the three categories, the category of factors influencing use has a greater share of the subject, and consequences categories and its concepts had less attention than the other two categories in preceding researches.

Organizations could employ  the results of this study to encourage more employees to use enterprise social networks and thus realize the significances.

The purpose of the study is to examine familiarity and application of smart technologies {Radio-frequency identification (RFID),  Quick Response code(QR),    Near-Field-Communication Mobile (NFC)} on customer relationship management (CRM).

An applied study collecting data via Stokić, Stojanović, Bogdanović, Despotović-Zrakić, Radenković questionnaire. Population consisted of 160  Public librarians  in Ardabil province.  Data analyzed by Pearson Correlation Coefficients. 

With the advent of information technology, most library services have been transformed. Findings shows that understanding and application of smart technologies is at an average level and reception of smart technologies is in decent condition.  Librarians  have faith in   smart technologies and the level of productivity and efficiency of librarians from the components of intelligent technologies is at a higher than average and close to the desired level. There is no significant relationship between the components of the variable "Introduction to smart technologies" to non-smart phones and the component of service quality from the variable of customer relationship management. Also, there is a significant relationship between the components of "familiarity per smart technologies" with the components of user satisfaction and user loyalty of the variable of customer relationship management.

Using smart technologies, notably smart phone technology, improves customer relationship management in libraries.

Scientific social networks were shaped as part of a set of social software and a platform for international interactions sharing the tangible and intangible knowledge of researchers. The purpose is to investigate the patterns and behaviors of knowledge sharing of researchers in Research Gate. Based on this, the question and answer system of this scientific social network was analyzed and reviewed.

Method is applied descriptive survey with web content analysis approach. The community studied was the questions and answers provided in the Q & A system of Research Gate. Two subject areas were selected, 127 questions and 408 responses related to these two domains were analyzed and reviewed.

Findings showed that the questions raised in two domains examined in the question and answer system of the scientific network were conceptual questions and replies in both domains were often intangible, and the type of presentation are scientific vision and mental pattern.  Most of the inquirers were researchers from Asian countries with less than 5 RG rank.  While researchers from European countries - with an RG rank of over 10, have been posting answers and sharing their expertise.

Q & A systems are diverse, efficient technologies for sharing knowledge and enhancing international interactions among researchers  beyond the geographical and political boundaries, which has created a place for the reproduction of scientific disciplines in the world. The results according to Castells, speak of latent power of social networks and question and answer systems in knowledge sharing and widespread knowledge boundaries that facilitate transfer of experiences, thought and knowledge of researchers and provide fertile ground for science.

There is a framework of the organizational cybernetics so-called Viable System Model (VSM) that identifies a viable management plan in all general key channels of information that need to be maintained. The purpose was to evaluate the constructive facets of the organization and identify areas of organizations cybernetics.

Theoretical analysis method evaluates the VSM among the scientific articles published from 2000 to 2020, which are indexed in Scopus and ISI databases. Thus, of 180 articles, the abstract and content of 51 were reviewed.

  A viable system (VS) is composed of five interactive sub-systems which may mapped on aspects of organizational structure. The study of the organizations’ collaboration based on the type of environment among the selected articles stated that the highest rate of application of the VSM with 52.9% were in industrial units and then educational institutions with 21.6%.

  Understanding the structure and operational functions, evaluating the complexities of systems and its subsets and guiding effective mechanisms in achieving the goals and maintaining the sustainability of the organization are the most important advantages and achievements of the VSM with the organizational cybernetic approach. Using the VSM of software allows users to structure, design and review the system levels of organizations well.