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Journal Cover Program: Electronic Library and Information Systems
  [SJR: 0.554]   [H-I: 14]   [250 followers]  Follow
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0033-0337
   Published by Emerald Homepage  [312 journals]
  • A Study on Location-based Mobile Map Search Behavior
    • Abstract: Program, Volume 50, Issue 3, July 2016.
      Purpose Mobile users increasingly employ location-based map searches in their daily lives. However, it is still relatively unknown about mobile users’ map related search behaviors. This paper aims to discover the interactions between the users and mobile map search systems, to reveal the shortcomings of existing mobile map search functions, and to propose improvement suggestions. Design/methodology/approach Based on a set of controlled user experiments performed on the Baidu mobile phone map, this paper empirically examines users’ location-based mobile search behaviors, such as timing, metering, judging and so on. This paper also conducts statistical correlation tests to generate relation tables and diagrams regarding each variable, for example, the relation between the retrieval time and the retrieval steps. Findings The results indicate that mobile map users have two important characteristics in their search behaviors: Firstly, mobile map users always follow the single search path. Secondly, the mobile map search efficiency of users is always low. Research limitations/implications The situation simulation testing method is mainly used for the construction of a mobile information search behavior environment, which may make the users be nervous and have some effect on the search efficiency. Practical implications Based on the identification of user behaviors, this paper provides suggestions to optimize and improve mobile map search systems. Originality/value This paper studies users’ mobile map search behavior based on location and explores the features of user behavior from the perspective of human-computer interaction.
      Citation: Program
      PubDate: 2016-05-13T11:18:20Z
      DOI: 10.1108/PROG-11-2015-0074
  • Exploring LOD through metadata extraction and data-driven visualizations
    • Abstract: Program, Volume 50, Issue 3, July 2016.
      Purpose This article presents a new approach towards automatically visualising Linked Open Data through metadata analysis. Design/methodology/approach By focusing on the data within a LOD dataset, we can infer its structure in a much better way than current approaches, generating more intuitive models to progress towards visual representations. Findings With no technical knowledge required, focusing on metadata properties from a semantically annotated dataset could lead to automatically generated charts that allow to understand the dataset in an exploratory manner. Through interactive visualizations, users can navigate Linked Open Data sources using a natural approach, in order to save time and resources when dealing with an unknown resource for the first time. Research limitations/implications This approach is suitable for available SPARQL endpoints and could be extended for RDF dumps loaded locally. Originality/value Most works dealing with LOD visualization are customized for a specific domain or dataset. This article proposes a generic approach based on traditional data visualization and Exploratory Data Analysis literature.
      Citation: Program
      PubDate: 2016-05-13T11:18:19Z
      DOI: 10.1108/PROG-12-2015-0079
  • Library Patrons’ Emotions after Information Retrieval: Effects of
           Perceived Self-efficacy
    • Abstract: Program, Volume 50, Issue 3, July 2016.
      Purpose Successful information retrieval is determined by library patrons retrieving accurate, relevant and up-to-date information stored in documents; this affects their self-efficacy, emotions and behavior. This research aims to examine the impact of mastery experiences, self-evaluation, vicarious observation of others' experiences, social feedback, and physiological state of library patrons’ emotions after information retrieval. Design/methodology/approach A structured close-ended questionnaire survey was utilized of which 200 responses were valid and usable for data analysis. Multiple regression analysis was executed to assess the influence of personal self-evaluation, comparisons with others, physiological state, and social feedback, on the library patrons’ emotions after information retrieval. Findings The findings of this study indicated that social feedback had the greatest influence on the library patrons’ emotions after information retrieval, followed by personal self-evaluation and physiological state. Originality/value This study employed quantitative research design utilizing multiple regression analysis which provides useful insight for university librarians on the specific factors that have significant effects on library patrons’ emotions after information retrieval. The outcomes add a new perspective to preceding studies on library patrons’ emotions after information retrieval, which has previously been inadequately researched in the Malaysian setting.
      Citation: Program
      PubDate: 2016-05-13T11:18:16Z
      DOI: 10.1108/PROG-07-2014-0045
  • Developing Definitions of Research Information Metadata as a Wicked
    • Abstract: Program, Volume 50, Issue 3, July 2016.
      Purpose The research focuses on the development of definitional standards for research information as a wicked problem. A central solution strategy for such problems, increasing transparency by argumentation visualisation, is being evaluated. Design/methodology/approach Qualitative formal content analysis is used in order to examine whether the process of definition standardisation in the project can be characterised as a wicked problem. Action Research was used to assess the effect of argumentation visualisation in the project. Findings The results of the content analysis confirm the interpretation of the standardisation process as a wicked problem. The implementation of argumentation visualisation has shown to increase the meetings' focus and effectiveness. Research limitations/implications The relationship between information exchange, transparency and acceptance of the development result should be addressed in future empirical analyses. Visualisation solutions require more development in order to accommodate needs of the stakeholders. Practical implications Argumentation visualisation is of high value for finding a consensus for definitional standards and should be considered for managing and exchanging information. Originality/value Applying solution strategies from design research on wicked problems to large-scale standardisation efforts opens up new possibilities for both handling such projects and providing new avenues of research for both the design and research information communities.
      Citation: Program
      PubDate: 2016-05-13T11:18:15Z
      DOI: 10.1108/PROG-01-2015-0009
  • Web directories: selected features and their impact on directory quality
    • Abstract: Program, Volume 50, Issue 3, July 2016.
      Purpose The aim of the study was a statistical examination of nearly 7,000 web directories and an analysis of factors which affect their quality measured by PageRank. Design/methodology/approach We analysed 6,821 directories registered at The following information about the directories was examined: the year of registration on the web site, the directory’s PageRank value, the existence of an active IP address, backlink requests, a fee charged for submission to the directory, as well as directory moderation and subject. Statistical analyses were performed with the use of Microsoft Excel, version 2010, and R software, version 3.0.0. The PageRank values were collected with a software written in Python. Findings The study has shown a gradual increase in popularity of directories as one of the basic tools in search engine optimisation. The analysis has indicated a relatively high percentage of spam web directories. The evidence of this is the number of directories with undetermined PageRank values. The study revealed that careful management of a directory and its subject have key impact on directory quality measured by PageRank. Originality/value Relatively few publications focus on the problem of web directories which represent a very large group of web sites created solely to manipulate web search engine rankings. This paper discusses the phenomenon of web directories, reveals the percentage of spam directories, and factors which affect their quality measured by PageRank.
      Citation: Program
      PubDate: 2016-05-13T11:18:14Z
      DOI: 10.1108/PROG-08-2014-0060
  • Added value in the context of research information systems
    • Abstract: Program, Volume 50, Issue 3, July 2016.
      Purpose The main goal of this article is discussing added value in the context of current research information systems (CRISs) based on metadata enrichment. Design/methodology/approach This discussion paper uses literature review as well as analysis of CRISs specifications to discuss added value possibilities. Findings Added value of the CRISs is in their integration and interoperability with the same and similar information systems. Since metadata plays key roles in interoperability of information systems, therefore focusing on metadata related issue can add considerable values to CRISs. Two types of metadata can be distinguished in every CRISs including macro and micro metadata. In terms of macro metadata CERIF by itself is an added value for CRIS because it draws a complete view of the research landscape including entities and their relations. CERIF metadata structure is designed in such a way that supports micro and macrometadata.. Originality/value There is a lack of literature on adding value to research information systems especially CRIS and particularly how value can be added in CRISs still is an unanswered question. CRIS developers can use this paper as a road map to choose the most valuable strategy for adding value to their systems.
      Citation: Program
      PubDate: 2016-05-13T11:18:12Z
      DOI: 10.1108/PROG-10-2015-0067
  • De-duplicating a Large Crowd-sourced Catalogue of Bibliographic Records
    • Authors: Ilija Subasic, Nebojsa Gvozdenovic, Kris Jack
      First page: 138
      Abstract: Program, Volume 50, Issue 2, April 2016.
      Purpose Describe a large scale algorithm for generating a catalogue of scientific publication records (citations) from a crowdsourced data. Demonstrate how to learn an optimal combination of distance metrics for duplicate detection and introduce a parallel duplicate clustering algorithm. Design/methodology/approach We developed the algorithm and compared it with state-of-the art systems tackling the same problem. We used benchmark data-sets (3k data points) to test the effectiveness of our algorithm and a real-life data (>90 million) to test the efficiency and scalability of our algorithm. Findings We show that duplicate detection can be improved by an additional step we call duplicate clustering. We also show how to improve the efficiency of map/reduce similarity calculation algorithm by introducing a sampling step. Finally, we find that our system is comparable to the state-of-the art systems for duplicate detection, and that it can scale to deal with 100s of million data points. Research limitations/implications Academic researchers can use this paper to understand some of the issues of transitivity in duplicate detection, and its effects on digital catalogue generations. Practical implications Industry practitioners can use this paper as a use case study for generating a large scale real-life catalogue generation system that deals with millions of records in a scalable and efficient way Originality/value In contrast to other similarity calculation algorithms developed for m/r frameworks we present a specific variant of similarity calculation that is optimized for duplicate detection of bibliographic records by extending previously proposed e algorithm based on inverted index creation. In addition, we are concerned with more than duplicate detection, and investigate how to group detected duplicates. We develop distinct algorithms for duplicate detection and duplicate clustering and use the canopy clustering idea for multi-pass clustering. Our work extends the current state-of-the-art by including the duplicate clustering step and demonstrate new strategies for speeding-up map/reduce similarity calculations.
      Citation: Program
      PubDate: 2016-02-24T10:03:28Z
      DOI: 10.1108/PROG-02-2015-0021
  • Exploring the Relationship between Web Presence and Web Usability for
           Universities: A Case Study from Turkey
    • Authors: Serhat Peker, Seyma Kucukozer Cavdar, Kursat Cagiltay
      First page: 157
      Abstract: Program, Volume 50, Issue 2, April 2016.
      Purpose The purpose of this paper is to statistically explore the relationship between web usability and web presence of the universities. As a case study, five Turkish universities in different rankings which were selected from Webometrics rankings were evaluated and compared. Design/methodology/approach Two different methods were employed for performing usability evaluation of the selected universities: A user testing was used to measure the user performance on the selected tasks and a questionnaire to assess the user satisfaction on the website use. Both usability evaluation methods were applied on the pre-determined tasks for each university by participation of 20 subjects. After the usability evaluation, the universities were ranked in terms of usability results and finally, the relationship between web usability and web presence of universities was statistically investigated by using Kendall’s rank correlation. Findings Several common usability problems which were asserted by related previous studies were identified at the end of usability evaluation of university websites. The usability results also revealed that selected Turkish university websites suffer from numerous usability problems. Further, a strong positive correlation (p<.05) between the usability of the university websites and their web presences were identified. Hence, the participants showed a higher success and satisfaction while performing the tasks on the university websites which have strong web presences. Practical implications The findings from this study have practical implications for universities. Correlation results showed that universities can improve their web usability by giving importance to their web presence volumes. Universities can estimate their web usability levels by investigating their web presence rankings and they can also raise their rankings in Webometrics ranking system by improving the usability of their websites. Moreover, university web developers can design more usable and more user-friendly websites by avoiding usability and design problems identified through usability evaluation. Originality/value Different from the prior research efforts focusing on usability of educational web pages, this study contributes to the growing literature by statistically exploring the relationship between web presence and web usability of universities. This study is also precious from the point of view that it is one of the first attempts to evaluate and compare usability levels of a set of universities’ websites from Turkey.
      Citation: Program
      PubDate: 2016-02-24T10:03:29Z
      DOI: 10.1108/PROG-04-2014-0024
  • Adoption of DSpace by Indian Libraries
    • Authors: Surendran Cherukodan, Humayoon Kabir S
      First page: 175
      Abstract: Program, Volume 50, Issue 2, April 2016.
      Purpose India occupies second position among the countries that have adopted DSpace open source software for institutional repositories (IRs)/Digital Libraries (DLs). This paper examines the reasons for DSpace being preferred over other software. It inspects various instances of Indian web-based DSpace systems including the nature and growth of collection, the geographical distribution of DSpace systems and the types of institutions that adopt and maintain DSpace. Design/methodology/approach Data were collected from the official website of DSpace, Google search and from online discussion forums during July 2013 to January 2014. The 132 Indian DSpace links provided in the official DSpace website were examined. Further search was carried out on Google to identify Indian IRs and DLs that are not listed by the official website. A list of Indian DSpace websites prepared by the authors was sent to the online discussion forums for further updating. An online directory of Indian DSpace websites was created using WordPress which provided for the adding of comments. The study is limited to the web based DSpace IRs and DLs in India. Findings The majority of the Indian IRs and DLs listed on the official website of DSpace are not visible on the Internet. Many links lead to institution websites, commercial websites and personal pages of authors. Out of 132 DSpace links, only 55 are visible on the Internet to search and use. Indian libraries prefer DSpace over Eprints, Fedora and Greenstone. Many institutions could not maintain continuity of their DSpace systems in the online environment. Institutions having more funding are maintaining web-based DSpace systems. The size, economic conditions, rate of literacy and number of universities in an Indian state do not influence the maintenance of digital systems. Academic institutions involving universities, technical institutions and colleges lead in the adoption and maintenance of web based DSpace in India. Private Universities and colleges have adopted DSpace for IR/DL. Public libraries constitute a minimum percentage of web-based DSpace instances. Indian Courts and Parliament have adopted DSpace. Shodhganga, the Indian ETD project, is running on DSpace. Originality/value This is the first paper examining the adoption of DSpace by Indian libraries with a focus on online visibility and the strength of collection. It can be used to understand the pattern of technology adoption by Indian libraries over the years.
      Citation: Program
      PubDate: 2016-02-24T10:03:23Z
      DOI: 10.1108/PROG-08-2014-0059
  • Proposed Metrics for Data Accessibility in the Context of Linked Open Data
    • Authors: Mahdi Zahedi Nooghabi, Akram Fathian Dastgerdi
      First page: 184
      Abstract: Program, Volume 50, Issue 2, April 2016.
      Purpose One of the most important categories in Linked Open Data (LOD) quality models is “data accessibility”. The Purpose of this paper is to propose some metrics and indicators for assessing data accessibility in LOD and the semantic web context. Design/methodology/approach In this paper, at first we consider some data quality and LOD quality models to review proposed subcategories for data accessibility dimension in related texts. Then, based on Goal Question Metric (GQM) approach, we specify the project goals, main issues and some questions. Finally, we propose some metrics for assessing the data accessibility in the context of the semantic web. Findings Based on GQM approach, we determined 3 main issues for data accessibility, including Data Availability, Data Performance, and Data Security Policy. Then we created 4 main questions related to these issues. As a conclusion, we proposed 27 metrics for measuring these questions. . Originality/value Nowadays, one of the main challenges regarding data quality is the lack of agreement on widespread quality metrics and practical instruments for evaluating quality. Accessibility is an important aspect of data quality. However, few researches have been done to provide metrics and indicators for assessing data accessibility in the context of the semantic web. So, in this research, we consider the data accessibility dimension and propose a comparatively comprehensive set of metrics.
      Citation: Program
      PubDate: 2016-02-24T10:03:18Z
      DOI: 10.1108/PROG-01-2015-0007
  • Selecting new product development team members with knowledge sharing
           approach: A fuzzy bi-objective optimization model
    • Authors: S. Mahdi Hosseini, Peyman Akhavan, Morteza Abbasi
      First page: 195
      Abstract: Program, Volume 50, Issue 2, April 2016.
      Purpose This paper aims to provide a method for selection of the new product development (NPD) project team members, in such a way to maximize the expertise level of team members and at the same time, optimize knowledge sharing in the organization. Design/methodology/approach According to the Motivation-Opportunity-Ability (MOA) framework, knowledge sharing antecedents were determined. Then, the problem of selecting appropriate members of the project team was formulated as a bi-objective integer nonlinear programming model. Due to the uncertainty conditions in the evaluation of candidates, the fuzzy sets approach was used for modeling. To solve the problem, first, the nonlinear programming model was converted to a linear model. Subsequently, the fuzzy bi-objective linear programming problem was solved by using an approximate algorithm. Findings results of applying the proposed method to an Iranian ship-building company showed its effectiveness in selecting appropriate members of the project team. Practical implications With the aid of the proposed approach, project managers will be able to form effective project teams that while increasing the success probability of the project, facilitate the maintenance of knowledge acquired during the project lifecycle. Originality/value This paper, for the first time, has tried to provide a method for selecting the NPD project team members, in a way that while selecting candidates with highest expertise, maximizes the sharing of knowledge among them.
      Citation: Program
      PubDate: 2016-02-24T10:03:24Z
      DOI: 10.1108/PROG-04-2015-0033
  • A Hybrid PSO with Naïve Bayes Classifier for Disengagement Detection
           in Online Learning
    • Authors: GopalaKrishnan T, P Sengottuvelan
      First page: 215
      Abstract: Program, Volume 50, Issue 2, April 2016.
      Purpose The main aim of the E-learning system is to meet the requirements of the learners and to make efficient for learners where the aspects and complexity are taken into consideration. The learner’s motivational states are undertaken by many attempts, mainly by using design. Motivations are started by using analysis of log file. Firstly, the disengaged learners are identified moderately, and then visualize the disengaged learners which includes evaluation of many motivational characteristic for learning. Design/methodology/approach E-learning system can be improved by detecting disengagement learners which would allow personalizing the involvement at proper times of learners. For this improvement, online learning system is researched using data mining techniques in education. There are various attributes identified for this disengagement prediction using log file analysis. Though, there have been several attempts to include motivation in e-Learning systems and currently, the influence on cognition is acknowledged and taken into consideration. Findings Classification is a predictive data mining technique which makes prediction about values of data using known results found from different data. To find out the solution for disengaged learners, used Naive Bayesian classifier with PSO algorithm to classify the dataset and then perform the independent analysis to perform the significant difference among the study. But, this Naïve Bayes algorithm suffers due to over sensitivity on unnecessary/ irrelevant attributes and PSO suffers due to local optima problems. So, the accuracy will reduce in predicting disengagement with the correlated features. Originality/value The computational results indicate that the use of variables apparently unrelated to the class attribute tends to reduce the accuracy and reliability of a classification model. However, the hybrid PSO algorithm clearly tends to find smaller subsets of attributes than the PSO with Naive bayesian classifier. The Naïve Bayesian classifier combined with hybrid PSO feature selection method proves to be the best feature selection capability without degrading the classification accuracy. It is further proved to be an effective method for mining large structural data in much less computation time.
      Citation: Program
      PubDate: 2016-02-24T10:03:19Z
      DOI: 10.1108/PROG-07-2015-0047
  • Using a Semantic Wiki for Technology Forecast and Technology Monitoring
    • First page: 225
      Abstract: Program, Volume 50, Issue 2, April 2016.
      Purpose This paper aims to present extensions of Semantic MediaWiki for the purpose of technology forecast and technology monitoring. The user friendliness and applicability of the components is evaluated by task-based user studies. Design/methodology/approach Based on the requirements given by potential end users (technology experts), visualization possibilities were designed and implemented. Potential users used the new features of technology forecast and monitoring within a semantic wiki and were controlled regarding the effectiveness. Findings Although semantic wikis are ideal tools for knowledge management in industry settings, especially due to their user-friendly way of storing and retrieving knowledge, they have rarely been used for technology forecast and monitoring purposes so far. We show that the additional requirements for such purposes can be met and provide established technology analysis possibilities within Semantic MediaWiki. In that way, a new application area of Semantic MediaWiki is introduced. Originality/value Tools and techniques for Semantic MediaWiki are presented, opening the application area of Semantic MediaWiki for technology and innovation management. Our research provides evidence that the open-source implemented visualization and storage techniques can be applied in real-world settings, where so far mainly costly dedicated software has had to be used.
      Citation: Program
      PubDate: 2016-02-24T10:03:20Z
      DOI: 10.1108/PROG-06-2015-0043
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