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Journal of Information & Knowledge Management
Journal Prestige (SJR): 0.19
Citation Impact (citeScore): 1
Number of Followers: 222  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0219-6492 - ISSN (Online) 1793-6926
Published by World Scientific Homepage  [119 journals]
  • Author Index Volume 18
    • Abstract: Journal of Information & Knowledge Management, Volume 18, Issue 04, December 2019.

      Citation: Journal of Information & Knowledge Management
      PubDate: 2020-01-31T08:00:00Z
      DOI: 10.1142/S0219649219990016
      Issue No: Vol. 18, No. 04 (2020)
  • Determinants of User Acceptance of Electronic-HRM through the Extension of
           UTAUT Model via the Structural Equation Modelling Approach
    • Authors: Mohammed Iqbal Al-Ajlouni, Sahem Nawafleh, Hiba Alsari, Mohammad Nassar Almarshad, Rami Tbaishat
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Despite the assured benefits of strategic primacy for HR administrators, performance effectiveness and cost reduction provided by Electronic-Human Resource Management (e-HRM), user acceptance of these systems is a critical factor for the initiative’s success. Accordingly, current research addresses factors that permit or hamper e-HRM adoption in private universities of Jordan. Conceptual theoretical model which extends the proposed UTAUT model was used, self-administered questionnaire was developed and data from 243 administrative employees who operate in four selected private universities in Jordan were collected through non-probabilistic self-selection sampling. Covariance-Based Structural Equation Modelling was employed to analyse relationships, performance expectancy and habits achieved (53%) of the varying behavioural intentions (BIs). Contrary to expectations, effort expectancy and social influence were not significant in achieving the variance, as facilitating conditions and BIs (43%) achieved the variance in e-HRM use. Accordingly, practical and theoretical implications were provided, with suggestions and directions for future studies.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2020-01-10T08:00:00Z
      DOI: 10.1142/S0219649219500448
  • Effective Knowledge Transfer and Behavioural Change in a Training
    • Authors: Amy Rosellini
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Current models of knowledge transfer are insufficient in defining the factors that address the impact of knowledge transfer at different cycles of the process where a firm employs traditional training programs. The purpose of this study is to examine the models that identify relationships between effective knowledge transfer and behavioural change in the training environment. The study of these models is concerned with how training affects knowledge transfer, how knowledge transfer impacts behaviour change and how behaviour change affects overall job performance. This concept paper examines existing KM models such as SECI model, complexity theory, an entrepreneurship model and knowledge-to-action with the aim of developing an enhanced version of knowledge transfer measurement model (KTMM) that requires further testing.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2020-01-10T08:00:00Z
      DOI: 10.1142/S0219649219500497
  • Malware Detection Using Optimized Activation Based Deep Belief Network: An
           Application on Internet of Things
    • Authors: G. V. R. Sagar
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Number of malware detection models has been proposed recently, which still poses major limitations in terms of detection rate. Hence, to overcome this, this paper introduces a new malware detection model with three stages: Feature Extraction, Feature selection and Classification. In feature extraction phase, the Term Frequency-Inverse Document Frequency (TF-IDF) and Information gain (IG) features are extracted. More importantly, the IG feature is subjected with the Holoentropy evaluation. Following the feature extraction phase feature selection is performed using Principle Component Analysis (PCA). Finally, to do the classification process, Deep Belief Network (DBN) is used with optimized activation function. To work out this optimization scenario, this paper intends to propose a new hybrid algorithm that combines the concept of Lion Algorithm (LA) and Glowworm Swarm Algorithm (GSO). The performance of proposed Lion Updated GSO (LU-GSO) is compared over other conventional models with respect to various evaluation measures and proves the betterments over others. Through the performance analysis, it was observed that the proposed model attains high accuracy, which is 10.21%, 10.04%, 9.18% and 6.42% better than LA, GSO, GWO and PSO, respectively.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2020-01-06T08:00:00Z
      DOI: 10.1142/S0219649219500424
  • Evaluation of Research Trends in Knowledge Management: A Hybrid Analysis
           Through Burst Detection and Text Clustering
    • Authors: Babak Sohrabi, Iman Raeesi Vanani, Seyed Mohammad Jafar Jalali, Ehsan Abedin
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      This paper aims to analyze the content of validated journal articles related to Knowledge Management (KM) in more than 18,000 papers of the Web of Science (WoS) database and then provide the most recent specific trends in KM field using text mining and burst detection to help researchers invest in the most challenging and fruitful areas of KM research domain. The method for finding the recent trend of KM includes the following steps: Conducting searches and collecting the publication data from WoS; using a hybrid analysis through burst detection and text clustering; also enriching and analyzing the results in order to achieve an overall perspective about the KM position and the popularity among researchers. This study could be valuable for researchers and KM specialists as well as managers as they may study the history of a subject by getting the structure of its scientific productions, so as to purposefully plan and determine the research priorities in KM.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2020-01-06T08:00:00Z
      DOI: 10.1142/S0219649219500436
  • Use-Oriented Information and Knowledge Management: Information Production
           and Use Practices as an Element of the Value and Impact of Information
    • Authors: Isto Huvila
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      There is a broad consensus that better models for assessing the impact of information efforts are needed to inform information and knowledge management and digital preservation. In contrast to measuring the quality of information, less attention has been directed to the assessment of knowledge and information processes as its constituent. Using archaeology and archaeological information as a sample context, the aim of this conceptual paper is to probe in to the evaluation of the impact and usefulness of information by taking into account the practices of how it is produced, managed and used. On a basis of a review and discussion of earlier literature on the impact of information and evaluation and management of information in archaeology, it is proposed that a better understanding of how the impact of information unfolds as a part of its production, management and use could contribute to the development of infrastructures, repositories and procedures for the management of the preservation and use of these resources.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2020-01-06T08:00:00Z
      DOI: 10.1142/S0219649219500461
  • A Narrative Review of Storing and Querying XML Documents using Relational
    • Authors: Amjad Qtaish, Mohammad T. Alshammari
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Extensible Markup Language (XML) has become a common language for data interchange and data representation in the Web. The evolution of the big data environment and the large volume of data which is being represented by XML on the Web increase the challenges in effectively managing such data in terms of storing and querying. Numerous solutions have been introduced to store and query XML data, including the file systems, Object-Oriented Database (OODB), Native XML Database (NXD), and Relational Database (RDB). Previous research attempts indicate that RDB is the most powerful technology for managing XML data to date. Because of the structure variations of XML and RDB, the need to map XML data to an RDB scheme is increased. This growth has prompted numerous researchers and database vendors to propose different approaches to map XML documents to an RDB, translating different types of XPath queries to SQL queries and returning the results to an XML format. This paper aims to comprehensively review most cited and latest mapping approaches and database vendors that use RDB solution to store and query XML documents, in a narrative manner. The advantages and the drawbacks of each approach is discussed, particularly in terms of storing and querying. The paper also provides some insight into managing XML documents using RDB solution in terms of storing and querying and contributes to the XML community.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2020-01-06T08:00:00Z
      DOI: 10.1142/S0219649219500485
  • Does Market Orientation Mediate between Knowledge Management Orientation
           and Business Performance'
    • Authors: Rayees Farooq, Sandeep Vij
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The objective of the study is to test the relationship between knowledge management orientation (KMO) and business performance (BP). KMO is a higher-order construct consisting of three second-order constructs: learning orientation (LO), knowledge sharing orientation (KSO), and information technology orientation (ITO). The paper explores the mediating role of market orientation (MO) in the relationship between KMO and BP. In this firm-level study, the personal survey was administered to key informants in 400 listed firms (from manufacturing and service sector) from North Indian States and Union Territories [including Punjab, Haryana, Himachal Pradesh, Jammu and Kashmir, Uttaranchal, Uttar Pradesh, Rajasthan, Chandigarh and National Capital Region (NCR)]. Two respondents each from these 400 firms were approached. The study found that KMO positively affects BP. MO does not mediate the relationship between KMO and BP. Rather, KMO fully mediates the relationship between MO and BP. The study provides evidence in support of KMO as a mediator between MO and BP. KMO of the firm provides a dynamic capability for realizing the benefits of a firm’s MO. The study contributes to the knowledge management literature by empirically validating the KMO, MO and BP constructs.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-12-26T03:10:00Z
      DOI: 10.1142/S0219649219500394
  • Knowledge Management in Eco-Innovation Practice: An Analysis of the
           Contribution of Eco-Innovation Tools in the Early Stages of the Product
           Development Process
    • Authors: Marcelo Seido Nagano, Antonio Iacono
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The purpose of this paper is to analyse the relationship between eco-innovation process and knowledge management (KM) from the perspective of tools and practices, in the initial stages of the product development process. Knowledge management can help to develop behaviours and practices that stimulate green knowledge and improve organisations’ eco-innovation performance. The analysis of the relationship between eco-innovation process and knowledge management in the initial stages of the product development process was performed using three tools: the Standard Design Process Form (SDPS), The STRETCH Methodology and the Product Ideas Tree (PIT) Diagram. The results show that the eco-innovation tools contribute significantly to the creation of knowledge in the early stages of the product development process, as evidenced in the selection of the best ideas and in the reduction of uncertainties on environmental and market opportunities.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-12-20T03:17:12Z
      DOI: 10.1142/S0219649219500473
  • Text Summarisation Using Laplacian Centrality-Based Minimum Vertex Cover
    • Authors: Anand Gupta, Manpreet Kaur
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Outdegree Centrality (OC) is a graph-based centrality measure that captures local connectedness of a node in a graph. The measure has been used in the literature to highlight key sentences in a graph-based optimisation method for summarisation. It is observed in resultant summaries that OC tends to be biased towards selecting introductory sentences of the document producing only generic summaries. The different graph centrality measures lead to different interpretations of a summary. Therefore, the authors propose to use another suitable centrality measure in order to generate more specific summary rather than a generic summary. Such a summary is expected to be highly informative covering all the subtopics of the source document. This requirement has instigated the authors to use Laplacian Centrality (LC) measure to find the significance of the nodes. The essence of this measure lies in highlighting central nodes from subgraphs which contribute non-uniformly towards the common goal of the graph. The modified method has shown significant improvement in informativeness and coherence of summaries and outperformed state-of-the-art results.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-12-20T03:17:12Z
      DOI: 10.1142/S0219649219500503
  • Improving the Task Understanding for Knowledge Creation in Assessments
    • Authors: M. Asim Qayyum, David Smith
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Students in higher education environments typically work with information discovered to gain and create knowledge required for their assessments and other course work. Much of this research happens online now as a required activity for students at all education levels and settings. When students access study material via the Internet and without the presence of an instructor, they may face difficulties in understanding the complete purpose of an assessment. Such difficulties can lead to poor information search practices resulting in poor creativity and low knowledge gain, which may in turn lead to mediocre information synthesis and low levels of knowledge creation. To investigate and possibly address this problem, the current study examines the information search practices of 10 novice and 5 experienced university students as they seek to gain and create knowledge for authentic assessment tasks. An additional five students received an intervention in the form of a word cloud application, which was introduced to create a visual and textual task understanding support scaffolding for the students. Results revealed evidence of knowledge gain and creation, especially by most experienced students when they used mental models to derive their searching process, and when they used notes to convert the implicit knowledge into an explicit form. The word cloud intervention additionally provided experienced students relevant learning cues from the task to improve their knowledge gain and creation, and helped improve their engagement with the online assessments tasks.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-12-17T02:27:14Z
      DOI: 10.1142/S0219649219500412
  • The Knowing Model: Facilitating Behaviour Change in Organisations
    • Authors: Darin Freeburg
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      It is incumbent upon leadership to encourage member behaviour that is beneficial to both the organisation and the members themselves. This paper outlines a context-based model — utilising the existing theories and models in Knowledge Management, Library and Information Science, and Public Health — to increase leadership’s effectiveness in this area. The Knowing Model approaches behaviour change as an issue of information content, dissemination, and use — all within a complex environment. A behaviour — one that an organisation has unsuccessfully attempted to change in the past — is identified by leadership. Leaders then analyse the extent to which members were aware of these previous efforts, integrated information about them, and acted because of them. This data is used to develop an information campaign aimed at changing the target behaviour. Because organisations likely have several information dissemination channels available to them, this model is offered as a low-cost and low-resource first step in behaviour change efforts. It will not replace more extensive efforts noted in previous models, but because of its theoretical grounding it is expected to promote change in certain areas. Approaches requiring more extensive resources can then be applied to other areas. This paper outlines the Knowing Model, strategies for information dissemination, and methods for model implementation and validation.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-12-17T02:27:13Z
      DOI: 10.1142/S0219649219500400
  • Determinants of Social Community Value Creation: An Exploratory Empirical
    • Authors: Chien-Hsing Wu, Chuan-Chun Wu
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Based on the Value–Belief–Norm Theory (VBNT), an exploratory study is conducted that proposes a research model to describe the social community value creation. The proposed model is examined via empirical survey. The mediation effect of community beliefs is also explored. The model considers extrinsic perceived value (EPV), intrinsic perceived value (IPV), and biospheric perceived value (BPV) as the main determinants of value creation behaviour for online communities. Results from the analysis of 335 valid community users are obtained. The intrinsic perceived value is significantly associated with the value creation attitude (VCA) towards intention, implying that community users, thus far, likely appreciate such intrinsic effect of community as participation and sentiment values. The beliefs partially mediate the effect of IPV on value creation behaviour. Active behaviour in public issues and private behaviour in the community are because of the perceived participation value, whereas non-active behaviour in public issues is due to the perceived network value in online community. Trust and norm alternate no effect of IPV on value creation attitude towards active and non-active behaviours in public issues and private behaviour in the community. This draws attention to the idea that beliefs probably have interplay effect on the value creation behaviour. This study serves as a theoretical and practical groundwork for researches on value development of virtual society with a focus on the effects of EPV, IPV, and BPV. Discussions and implications are also addressed.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-12-17T02:27:12Z
      DOI: 10.1142/S0219649219500382
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