Iranian Journal of Information Processing & Management
Year:2020 | Volume:35 | Issue:3 |Papers Count:11

Professional ethics studies in information science usually concentrate on users and dominantly forget ethical relationships of colleagues, superiors and subordinates in organizational hierarchy. Besides, ethical standards or guidelines and also researches on professional ethics in information science always adhere general principles rather than close focus on ethical dilemmas, whereas moral details become apparent in ethical dilemmas. In this research I tried to investigate moral autonomy and heteronomy (Kantian, Rawlsian, Sandelian, and McIntyrian autonomy and heteronomy) of information professionals, working in Iran Public Libraries Foundation (IPLF) as a trial to provide an approach to professional self-reflection and evaluation. For this reason, 406 number of mentioned professionals (n=406) were chosen randomly from 704 selective reading advisors (p=704) of IPLF for responding ethical dilemmas. Findings showed that heteronomous tendency is dominant among professionals and their heteronomy is prominently Rawlsian. Also, their heteronomous tendencies reduce by increase in their age and this is a proof to the Kohlberg’ s stages of moral development. Moreover, results of structural equation modeling suggested that Rawlsian heteronomy and McIntyrian autonomy are prominent in the formation of professional’ s moral tendency but Rawlsian heteronomy is obviously powerful than McIntyrian autonomy. Rawlsian heteronomy denotes stiff and formal adherence of external rules (religious, national, conventional, organizational and so on) and in this stance, ethical reflection and act on the basis of internal moral sense with responsible acceptance of its ramifications goes away as a marginal stance.

The main purpose of the present study was to assess the effect of the students’ information sharing behavior in social network sites on different features of social capital. This research was an applied one for which survey method was employed. The population consisted of all the students studying at the universities in South Khorasan Province affiliated to the Ministry of Science, Research and Technology in the academic year of 1397-1398 (2018-2019). The students were supposed to have a minimum experience of six months in using one of the social network sites such as Telegram, Instagram or WhatsApp. The sample size was 384, which was calculated through the Cochran formula for the unknown population. To test the conceptual model of research and the hypotheses, the Partial Least Squares Approach to Structural Equation Modeling and SmartPLS (version 2) were used. The results of the conceptual model of the study confirmed a positive and significant relationship between the students’ information-sharing behavior in social network sites and their social capital and all its four characteristics (interactional, structural, functional and normative). The results also indicated that the demographic variables of gender, field of study and educational level had no significant effect on the relationship between information-sharing behavior in social network sites and social capital.

Effective use of organizational knowledge helps organizations foster innovation, reduce costs, improve decision making, and create sustainable competitive advantages. Knowledge Management (KM) is adopted by many organizations as a new approach for discovering and exploiting organizational knowledge as much as possible. According to the contingency theory, the successful implementation of knowledge management in an organization highly depends on choosing the best KM processes according to the organization’ s circumstances. The purpose of this study is to evaluate the factors affecting the choice of the appropriate knowledge management process in the organization and ultimately prioritize the KM processes using a rule-based fuzzy system. The contingency factors that are studied in this research are those related to knowledge properties, organizational, environmental and task characteristics. Also, knowledge management processes that are considered are knowledge discovery, knowledge acquisition, knowledge sharing and knowledge application. The relationship between processes and contingency factors is modeled based on Fernandez method, using fuzzy rule-based systems. By evaluating and quantifying each of the factors, knowledge management processes are prioritized with respect to the input factors. The obtained results of prioritizing knowledge management processes by this method compared with previous researches shows a significant improvement.

This paper attempts to identify the elements and requirements for reuse of research data among researchers in Iran. The present study is qualitative research. This research was carried out in two stages. At first, Initial elements were extracted by reviewing and analyzing the content of the texts, but due to the fact that the extracted factors were not native, we used semi-structured interview. The statistical population in the first stage includes articles about reuse in PubMed, Scopus, Science direct and ProQuest databases. The statistical population of the second phase was researchers who were familiar with the reuse of research data. The interviews began using targeted sampling and continued using snowball strategy and sampling based on the introduction of the contributors. The data gathering tool was a semi-structured interview and data were analyzed by MaxQDA software. As a result of analyzing the content of the literature and interviews, the main elements of reuse of research data were identified in three main dimensions: human factors, organizational factors and infrastructures. The components of each dimension were identified and, at the end, suggestions were made to reuse existing data.

In today’ s competitive information age, libraries-whether traditional or digital-must seek to provide novel services to keep their users satisfied, more than any time ever. Internet of things is one of the phenomena that can be helpful to digital libraries in provision of novel library services. The key objective of this paper is to provide a comprehensive model for utilizing internet of things to provide services in digital libraries. In order to achieve this objective, at first, the articles in relation to this topic are explored and the criteria and indicators of the above model are extracted from them. These criteria and indicators have been gained by observing real-world digital libraries. A Delphi panel consisting of 14 experts validated our proposed model in three rounds. Finally, a model containing six comprehensive metrics (hardware features, software facilities, network and telecommunication infrastructure, required standards, security issues, and human resource features) and 83 indicators for the use of internet of thing in digital library services were presented. This model can be a roadmap for libraries that are trying to use the internet of things to provide new services. The results of this research are useful and effective in promoting the quality of digital libraries and facilitating interaction between users and these types of libraries.

in scientific documents are rich sources of information. The first step in retrieving information from such figures is to build a valid figure database. To this end, we developed a system for generating figure database from scholarly Persian documents, in large scale. The first step is to parse files and extract figures and their corresponding descriptions. There are two general approaches for extracting figures from documents. One is based on image processing methods and another is based on processing the file primitives. The focus of this paper is on latter one. This approach is shown to be a better choice for the search engines because of its speed and scalability properties. We propose a structure based method that extracts the figures and their descriptions by analyzing the file layout. This information is saved in a database with a specific structure and is indexed for retrieval in the search engine. The proposed algorithm was implemented in Python programming language. As a benchmark we used the basic method in the literature which is based on the processing PDF file. We employed the proposed method in a case study on Iran scientific information database (Ganj). In this regard, 150 scientific documents were randomly chosen from Ganj database and analyzed using two mentioned methods. Based on our experimental results, the proposed method is more efficient than the basic method especially for Persian documents. There are many unanswered challenges for Persian documents when using the basic method. The number of noise images resulted from the basic method is high and Persian text extracted is not well organized. Our proposed method overcomes some of these drawbacks and is recommended for generating figure database from scientific Persian documents. The proposed method is able to correctly extract about 40% of the images with their corresponding descriptions which is 10% better than the basic method.

The main object of this research is analyzing the architectural dimensions and framework of the emerging citation databases in terms of research analyzing, processing, and information management through studying the SciVal and using literature reviewing, observing, and system analyzing. Initially, the components of research information analysis were extracted based on a literature review. The framework of research information analysis is included in the main components such as description, classification, analysis, evaluation, information exploration, information management, and interaction that each includes sub-components too. A checklist was designed based on data obtained from the information analysis framework to study the SciVal and the kind of analysis in SciVal was studied based on the checklist. The results showed that SciVal utilizes four different sections, including overviews, benchmarks, collaborations, and trends to information analysis. According to the defined entities in SciVal, the analyzable entities in a software system to analyze and evaluate the research information are: institutes, countries, authors, research groups and departments, publications, subject fields, Scopus sources, and research competency. According to the relations of the defined fields in SciVal records, the main analyzable fields are sources categories, subjects, authors, places, citations, collaborations, and outputs. As a result, the presented framework in this research can be used as a tool and criterion in designing research information analysis and management systems.

Todays, investments on information technology is increasing day by day and IT governance and strategic alignment between business and IT goals have been more important than the past. Also, business managers have faced with IT governance multi-dimensional issue due to salient growth of cloud computing and its governance challenges. Context and nature dependency of cloud computing governance is one of the above complex dimensions. Therefore, in this research governmental enterprises challenges, as one of the actors of the country economy and industrial ecosystem identified and prioritized using the comments of 94 experts by questionnaire and interview techniques. Findings of this research demonstrate that there are 18 fundamental challenges at 9 domain. Culture, direction and strategy are the most important challenging domains in cloud computing governance objectives achieving process and lack of transparency in governmental enterprises, lack of business knowledge of IT managers, information security, lack of tailored governance frameworks and lack of believing in IT strategic role by business managers, are 5 top challenges in governmental enterprises.

Theoretical foundations and philosophical basis of library classification systems have always been important for information science professionals. This research studies the philosophical foundations and logical basis of the classification systems and structure of human knowledge and studies the logical basis of library classifications Scheme. Challenges and problems of traditional ideas about knowledge organization and its hierarchical structure have been studied and rhizomatic thought has been proposed as an alternative model for the tree and hierarchical structure especially for the organization of digital and hypertext information on the web. In Western thought, the tree structure based on Aristotelian logic has been the dominant model of classification and due to its problems, the rhizomatic structure is suggested. Information structure in digital space such as rhizomes moves in many directions and creates a multiplicity of connections and relations. The growth and emergence of interdisciplinary studies can be seen as evidence. Traditional, tree-based and hierarchical discourse of information organization isn’ t enabled to understand the nature and characteristics of the digital information space and so to organize it. Necessarily to a paradigm shift, rhizomatic thinking can be a good alternative to traditional information organizing thinking.

One of the recent developments in the scope of cataloging is to create a link among the metadata records based on conceptual patterns. This can provide the necessary infrastructure to implement the “ link data” methods on library catalogue. One of the newest conceptual patterns presented by the International Federation of Library Associations and Institutions (IFLA) is Library Reference Model (LRM). This research has been done with the purpose of determining functionality of Persian Medical Thesaurus Database in the form of IRANMARC on the basis of IFLA Library Reference Model. This is an analytical-comparative study that was done using qualitative approaches. The statistical society consists of all the records of Persian Medical Thesaurus Database available in the software of National Library of I. R. IRAN (Rasa). First, LRM/UNIMARC/IRANMARC Mapping was developed and LRM’ s elements were quantified. Then, structure and content compatibility in IRANMARC authorities format was done. Data were analyzed using descriptive statistical and SPSS v. 23 software. The data showed that 83. 33 percent of attributes of LRM model have their equivalent IRANMARC authorities format. The average structural compatibility rate of IRANMARC with LRM model is 83. 29. Results also indicate that there is acceptable compatibility between LRM model and IRANMARC authorities format.