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Information Science and Management - Volume:16 Issue: 1, Jan-Jun 2018

International Journal of Information Science and Management
Volume:16 Issue: 1, Jan-Jun 2018

  • تاریخ انتشار: 1396/12/20
  • تعداد عناوین: 13
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  • Jafar Mehrad, Zahra Yousefi * Page 1
    The researchers of different fields are faced with extensive problems because of the complications of today’s world; therefore, making interdisciplinary links with other fields seems inevitable. In this regard, it seems that information science and knowledge are not needless of the findings of other disciplines because of their nature, aims, services and functions, and they are trying to drive the benefit of such links through establishing proper links with closer fields like communication. To this aim, the present research tries to introduce the media system dependency theory as one of the prominent theories in the field of communication, and also explains its potentials, and suggests its application in the theoretical framework of researches in information science and knowledge. It seems that using this theory in the studies of fields such as information seeking and searching, collection development, notices and service dissemination, information recovery, and also the field of promoting reading can open a new horizon to researchers in those fields, and therefore, help such studies to be scientifically fruitful.
    Keywords: Media System Dependency Theory, Information Science, Knowledge, Communication, Interdisciplinary Links
  • Simon Brown * Page 15
    The h-index has been considered in terms of both unrestricted integer partitions and fuzzy integrals, and the expected value of h for a given number of citations has been estimated. However, the distribution of h as a function of both the number of citations and the number of papers has not been considered explicitly. Using Durfee squares determined from restricted integer partitions, it is shown that for a small number of papers the expected value of h estimated from the unrestricted partitions of the number of citations is unreliable. Despite this, it is confirmed that the distribution of his asymptotically normal. This means that h-indices should be considered in the context of the number of publications unless that number is large.
    Keywords: Distribution, H-Index, Integer Partition, Uncertainty
  • Oranus Tajedini, Ali Sadatmoosavi *, Azita Ghazizade, Atefe Tajedini Page 27
    This research was intended to comparatively investigate the currency, disappearance and half-life of URLs of web resources cited in Iranian researchers’ articles indexed in ISI in information science, psychology and management from 2009 to 2011. The research method was citation analysis. The statistical population of this research was all articles by Iranian researchers in psychology, information science and management from 2009 to 2011 which were indexed in SSCI. In order to extract bibliographic information of articles, ISI database was searched and the titles of the articles were extracted. After investigating the currency and disappearance of cited URLs and calculating the half-life of web resources, collected data were analyzed in accordance with research questions by means of Excel Software...
    Keywords: Web Citation Availability, URL Persistence, Internet Archive, Half-life of Web References
  • Abolfazl Sherafat, Sayyed Mohammad Reza Davoodi * Page 49
    The current web evaluation models are mainly based on the technical evaluation of the site and its appearance and usability from user's perspective. In other words, the site is evaluated as an independent entity from the underlying organization that it represents. The focus of this study is on evaluation of organization's websites based on the quality management concepts. In this way, the measured performance indicators will be used to find the deficiencies of the websites and recommend corrections. For evaluating the organization’s success in its website function, the concept of quality management is used and since evaluation and improvement are the center of attention in this model, the model is called Ev-Imp, which Ev stands for evaluation and Imp stands for improvement. Model includes four main components consist of objectives, processes, criteria and feedback. With the use of feedback tools such as quantitative and qualitative questionnaire for groups of stakeholders and service providers ,the website’s weaknesses and strengths would be identified and with analyzing the website’s weaknesses required improvement would be determined and corrective action would be done.
    Keywords: Website Processes, Website Criteria, Website Performance
  • Jalal Rezaeenour *, Mansoureh Yari Eili, Esmaeil Hadavandi, Mohammad Hossein Roozbahani Page 71
    This study aims to predict the amount of attention news articles ultimately receive using data mining technology. As well known, useful knowledge in Online Social Networking Services (Such as Digg, Twitter, Facebook and YouTube) is often hidden in large amounts of web data. Generally, due to dimensionality, irrelevant attributes will deteriorate the performance of the learning algorithms which increases training and testing times. In this paper, to reduce this impact in predicting the popularity of online news, a new feature selection algorithm is proposed based on Mutual Information. Cellucci-Mutual Information-based Feature Selection (MIFS) is firstly employed to select the most informative variables which affect the popularity of a news article. Then the selected features are used to train an Extreme Learning Machine (ELM) neural network. Experimental tests using practical datasets from the UCI repository were implemented to validate the performance of the proposed model. The analyses demonstrate that the proposed method can extract the most important features of online news data and can accurately predict future popularity. The prediction accuracy of ELM can improve dramatically using C_MIFS. With error rates RMSE=0.16 and MAPE=0.23. Hence, the new data mining model can provide practical application for online content popularity forecasting for digital media websites.
    Keywords: Online Content Popularity Forecasting, Mutual Information based Feature Selection (MIFS), Extreme Learning Machine, Neural Networks, Prediction Method, Feature Selection
  • Rezvan Hosseingholizadeh *, Atefeh Sharif, Masoumeh Kouhsari Page 89
    This study aims to investigate how PKM tools support university students for developing personal knowledge management skills. It has been done based on the PKM Skill model developed by Avery, Brooks, Brown, Dorsey and O’Conner (2001) and Sharif and Hosseingholizadeh's (2016) PKM tools taxonomy. This research focuses on how PKM tools can support PKM skills in an academic environment. Data was collected from master's and PhD students of Ferdowsi University of Mashhad (FUM) (n=362). Results showed there is significant relationship between seven PKM skills and the use of PKM tools. The strength of the correlation is between the use of PKM tools and the securing, and analyzing skills. Also, the PKM skills play different and important role in awareness, being skilled in use of PKM tools and also the rate of usage. Some of PKM tools can be used by students to support their PKM skills. Moreover, results revealed that there is no significant relationship between usefulness and perceived ease of using and use of PKM tools. This necessity is felt more in the academic environments and among graduate students, since the nature of student's educational activities and research as knowledge worker, require skills of search, collect, transfer and sharing of information and knowledge.
    Keywords: Personal Knowledge Management, PKM Tools, PKM Skills, Academic Environment, Graduate Students
  • Zohre Eftekhar *, Reza Shakeryari Page 105
    Knowledge management is a crucially influential factor in helping organizations survive and gain success in such a competitive environment and in this Information Age. Also, considering the fact that Sharing Knowledge in Nursing and Midwifery Faculty plays the role of a sample for others, tacit knowledge of Nursing Professors is a knowledge that is produced inside the mind of Professors and not saved in any database. The research method used in this study is a quantitative method. Sampling is purposeful. The sample was selected according to random sampling method with Cochran formula from 350 students and Professors. According to this sampling method, there are 205 students and Professors in seminaries over 2011-2015 in Nursing and Midwifery Faculty of Jahrom Azad university. This is a survey research which has been carried out by employing a questionnaire and SPSS for windows to analyze data. The main challenge of Nursing and Midwifery Faculty knowledge management is transferring tacit knowledge inside the mind of Professors to the others – especially scholars and researchers. This study evaluates Professorss tacit knowledge transfer to nursing experts. To investigate knowledge management and the ability of knowledge sharing in nursing and midwifery faculty between professors and students the method of " Mann-Whitney and Kruskal-Wallis test " has been applied. The results showed that there a positive relationship between Factors of the ability of knowledge sharing between Professors and Students, between men and women, between age groups, between different degrees.
    Keywords: Knowledge Management, Knowledge Sharing, Tacit Knowledge, Professors Nursing Knowledge, Nursing, Midwifery Faculty
  • Marjan Arab-Rahmatipour *, Laleh Foroutan-Rad, Zohreh Mirhosseini, Mohammad Javad Arab-Rahmatipour, Omid Aghaei Page 121
    Today, the impact of intellectual capital is interesting for the scholars worldwide regarding the performance of the organizations, and knowledge comprises its primary core. Optimal use of knowledge contributes to explore needs of clients, leading to innovation and new valuable opportunities. Qualitatively improved services in the libraries of hospitals realizes through taking human capital and their optimal use of knowledge into consideration. The present study investigated the relationship between optimal use of knowledge and intellectual capital among library managers of public hospitals in Tehran. This study is a descriptive-correlation applied research holding all of the library managers of public hospitals in Tehran as the statistical population. The data collection was carried out via Bontis Intellectual Capital Questionnaire (2004) and Bukowitz & Williams Knowledge Management Questionnaire (1999). Cronbach's alpha was employed to measure the internal consistency reliability among the items and found at over 70%. To analyze the statistical data, the Pearson Correlation Test was used. The results showed that there were not any significant relationship between optimal use of knowledge and human resource capital and structural capital components (P>0.05). On the whole, between intellectual capital and optimal use of knowledge there is a significant relationship (P
    Keywords: Intellectual Capital, Optimal Use of Knowledge, Tehran-Libraries of Public Hospitals, Foucault Theory of Power Relation
  • Abdolrasool Khosravi *, Khadijeh Ahmadzadeh, Mojgan Zareivenovel Page 137
    Diabetes is one of the main causes of death and around 4.5-5 million people suffer from it in Iran. Therefore, having information about this disease and self-care activities is essential. It seems that measuring the level of health literacy is important. This research aims to investigate the appropriateness of the available information and educational resources as well as the level of the health literacy of diabetic patients attending health centers in Shiraz (Iran).In this descriptive research, some available information resources were prioritized by diabetic patients, and educational planes were chosen to assess their appropriateness. The study population included 400 diabetic patients who were selected through stratified random sampling. Their level of health literacy was measured by TOFHLA questionnaire. The findings showed that 87.5% of the patients had regular doctor appointments as a resource for getting information; however the information given by the physicians are little and the level of the patients` health literacy is in marginal level. Marginal health literacy is a threat for diabetics whereas they need to have adequate knowledge and skills about controlling and improving their disease; thus, providing understandable information and educational materials for patients is expressed as a way to enhance their health literacy level. Based on their knowledge and skills hospital librarians, can work as health literacy educators in health centers and hospitals, and as role-players in promoting health literacy community.
    Keywords: Diabetics, Health Literacy, S-TOFHLA, Health Centers, Consumer Health Information
  • Heidar Mokhtari *, Norooz Shafitabar-Samakoosh Page 153
    This study aimed at extracting some main principles of information ethics directly or indirectly explained in the Koran and interpreting them in the context of our information society. For extracting the Koranic principles of information ethics, the exegesis of the Koran (tafsīr) approach was used. A relatively comprehensive and public Koran exegesis in Persian, entitled Tafsīr Nūr authored by Muhsin Qarā‘tī was referred to. Findings showed that the Koran considers some ethical principle directly or indirectly applied to information search, use, dissemination and evaluation and ones giving, transforming, receiving, searching and using information, applicable to our information society worldwide. Deeply investigating and carefully applying these main principles of information ethics can be beneficial to all information-related sections.
    Keywords: Information Ethics, Ethical Principles, Koran, Islamic Perspective
  • Mohammad Amin Mahdavi * Page 165
    One of the primary tools used in text processing tasks such as information retrieval, text extraction, and text mining, is a corpus that is enhnaced by linguistic tags. In a corpus development effort, the role of a POS-tagger is to assign a linguistic tag to every textual token. POS annotation relies heavily on a tagset based on a linguistic theory. Text processing in Persian, too, follows this common practice. Several tagsets have been introduced, so far, to annotate Persian corpora. However, each tagset has followed a specific standard and linguistic theory. The resulting tagsets contain a limited number of tags, which renders them inadequate for a larger scope of research. This study is inspired by EAGLES, MULTEXT-East, positional tagset standards to produce a comprehensive standard positional tagset for Persian. The proposed tagset is also informed by the existing Persian tagsets. The proposed Persian Positional Tagset (PPT) is designed to be used for morphological, lexical, and syntactic annotations of Persian corpora.
    Keywords: Persian Positional Tagset, Persian POS tagset, Standard Persian Tagset, Persian Morphosyntactic tagse
  • Mohammd Bagher Dastgheib *, Mahsa Farboudnia Jahromi, Jafar Tahmoures Nejad Page 191
    Information hiding and data encryption are used widely to protect data and information from anonymous access. In digital world, hiding and encrypting of the desired data into an image is a smart way to protect information with a low cost. In the digital images, steganalysis is a known method to distinguish between clean and stego images. Most of recent researches in this scope exploit feature reduction algorithms to improve the performance of correct detections. However, dimension reduction alone could not tackle the problem of steganalysis because the properties of stego images change during the steganalysis process. In this work, it is intended to propose an Image Steganalysis using visual Domain Adaptation (ISDA), which this steganalysis target images to distinguish across stego and clean images. ISDA is a dimensionality reduction approach that considers the image drifts during the steganography process in the steganalysis of target images. Moreover, ISDA employs domain invariant clustering in an embedded representation to cluster clean and stego images in the reduced subspace. The results on benchmark datasets demonstrate that ISDA thoroughly outperforms all of the state of the art methods on validation parameters, accuracy of detection and time complexity.
    Keywords: Image Steganalysis, Visual Domain Adaptation, Feature Extraction, Embedded Representation
  • Hoda Abedi, Fahimeh Babalhavaeji *, Mohammad Hassanzadeh Page 203
    The synergies for the Iranian regional and national innovation systems among the geographical, technological and organizational distributions of firms were measured. Among the data of 87934 active industrial firms (December 2015), merely 46150 firms could be classified using NACE codes into high-tech, medium-tech and knowledge intensive sectors which in turn geographically divided into five regions. Accordingly, both the T0 and ΔTGTO of Iran at the national level had negative signs (-480.6 and -5.14 mbits, respectively), however all the ΔTGTOs in each separate region was highly positive denoting that national agglomeration significantly adds to the synergy in the system and a highly integrated national innovation system was proposed in Iran. Regions 1 (including Tehran as the capital) as well as region 4 (including Khuzestan which contains enormous oil and gas resources and industries) caused less disturbance to the national synergy compared with the other three regions (ΔTGTOs= .1 and .2 mbits, respectively). The decomposition of sectorial technologies showed that in contrast to many other countries, especially for west European countries, high-tech manufacturing and knowledge intensive services were the main drives of knowledge-based configuration in the regional economy of Iran, while medium-tech manufacturing tend to uncouple the economy from the regional configuration.
    Keywords: Knowledge-Based Economy, Triple Helix, Iran, Probabilistic Entropy, Innovation Systems