Journal Cover
Journal of Information & Knowledge Management
Journal Prestige (SJR): 0.19
Citation Impact (citeScore): 1
Number of Followers: 217  
 
  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]
  • Knowledge Management and Institutional Accounting Functional
           Effectiveness: Evidence from Malaysia
    • Authors: Freida Ozavize Ayodele, Liu Yao, Hasnah Binti Haron, Eyasan Leslie Dabor
      Abstract: Journal of Information & Knowledge Management, Volume 18, Issue 02, June 2019.
      Institutional accounting functions are critical actors in the success of every organisation and emphasise distinct effectiveness compared to other practices. Meanwhile existing research has examined general knowledge management (KM) and its association with effectiveness at an overall institutional level. However, studies on the impact of KM capabilities on institutional accounting functional effectiveness (FE) is sparse. This study evaluates the impact of KM on institutional accounting FE based on resource-based theory (RBT) at various levels of analysis. Utilising empirical evidence, accounting knowledge management (AKM)-based effectiveness model was developed. Data were collected through a questionnaire survey of accounting officers in public research institutions in Malaysia. The study data were initially analysed using statistical package for social sciences (SPSS) version 23.0 and hypothesised relationship tested via partial least square structural equation modelling (PLS-SEM). Interestingly, the results provide support for the developed research AKM model underpinned by RBT viewpoint. AKM infrastructure (AKMI) and process capabilities impact institutional accounting FE significantly and AKM process capability partially mediates the influence of AKMI capability. The study offers new insight into the relationship between KM and institutional accounting practices. Thus, they create avenues for future research and directions for KM policy decisions in institutions.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-07-02T08:51:43Z
      DOI: 10.1142/S0219649219500175
       
  • A Framework for Knowledge Models Transformation: A Step Towards Knowledge
           Integration and Warehousing
    • Authors: Rim Ayadi, Yasser Hachaichi, Jamel Feki
      Abstract: Journal of Information & Knowledge Management, Volume 18, Issue 02, June 2019.
      An intelligent decision support system should based on a knowledge warehouse (KW). A KW gathers knowledge initially expressed in different formalisms and therefore heterogeneous. Consequently, the KW building process requires knowledge homogenisation. This paper deals with this main issue; it introduces a three-layer architecture for a KW; more precisely, it focuses on the first layer architecture called Knowledge Acquisition and Transformation. This layer aims to transform heterogeneous knowledge models into the MOT (Modeling with Object Types) semi-formal language [Paquette, G (2002). Knowledge and Skills Modeling: A Graphical Language for Designing and Learning. Sainte-Foy: University of Quebec Press (in French).] that we have selected as a pivot knowledge model. For this transformation step, first, we design four meta-models; one for MOT and one for each of the three explicit knowledge models, namely, decision tree, association rules and clustering. Secondly, we define 15 transformation rules that we formalise in ATL (Atlas Transformation Language). Finally, we exemplify the knowledge transformation in order to show its usefulness for the KW building process.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-07-02T08:51:42Z
      DOI: 10.1142/S0219649219500254
       
  • The Role of Knowledge Sharing and Employees’ Satisfaction in Predicting
           Organisational Innovation
    • Authors: Emad Abu-Shanab, Ayat Subaih
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      This study aimed at exploring the factors influencing organisational innovation by utilising the following six factors: Organisational culture, organisational rules and policies, employees’ attitudes, intrinsic and extrinsic motivations, employees’ satisfaction, and knowledge sharing. This exploratory study used a sample of 255 employees in public and private firms. A survey was used to measure the seven dimensions included in the framework. Structural equation modelling was used to estimate the path diagram and test the research hypotheses. Results indicated a strong support of our proposed framework, with an [math] equal to 0.434. Both employees’ satisfaction and knowledge sharing were significant predictors of organisational innovation. Intrinsic and extrinsic motivations were significant predictors of employees’ attitudes, which in turn was a significant predictor of knowledge sharing. Organisational rules and policies, organisational culture, and attitudes were significant predictors of knowledge sharing. Finally, organisational rules and policies were the only significant predictor of employees’ satisfaction. Firms need to work on intrinsic and extrinsic motivation to influence employees’ attitudes and thus knowledge sharing. More emphasis should be put on rules and policies that establish a culture of knowledge sharing. A systematic approach to KM would influence organisational innovation more than employees’ satisfaction side. The study utilised a newly developed Arabic language instrument. This study is the first in Jordan to test such domain and to use a newly developed instrument in Arabic language.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-09-09T08:11:26Z
      DOI: 10.1142/S0219649219500266
       
  • A New Model for the Impact of Knowledge Management on University
           Performance: Empirical Study Based on Student Opinions
    • Authors: Megnounif Abdellatif, Kherbouche Asma
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The research topic addressed in this study concern the application of knowledge management systems (KMSs) in higher education institutions. While, in the first part of this work, a theoretical model of KMS was proposed, in this second part an empirical study is conducted to test this model. The proposed model has three main elements: inputs (different types of knowledge), process (the four functions: acquire, capitalise, disseminate and use) and outputs (the three performance perspectives: customer satisfaction, operational excellence and direction of the product). On the basis of a functional analysis we propose hypotheses, which allow us to study the relations of cause and effect between knowledge management (KM) and the performance of the university. The model is tested by surveys to be carried out in some Algerian universities by the students. After, a complete analysis (descriptive, exploratory (EFA), confirmatory (CFA), correlation, regression and finally SEM) of the data obtained by the completed questionnaires, the results permit to provide empirical evidence for some of the proposed hypotheses and confirm that KM has a positive effect on performance. A high intensity of KM activities has a significant positive influence, directly or indirectly, on university performance. The results of this empirical study indicate that policies encouraging (1) interactions between different actors, and (2) student participation in decision-making for the development of new programs/courses would increase student satisfaction and ensure pedagogical, management and openness excellence that ultimately contribute to performance of the university. Furthermore, KM must be programmed as part of the holistic management process of the university, and the activities of KM should therefore be managed in the same way as other university processes.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-09-09T08:11:26Z
      DOI: 10.1142/S0219649219500291
       
  • Promoting Knowledge Sharing Amongst Academics: A Case Study from Vietnam
    • Authors: Van Dong Phung, Igor Hawryszkiewycz, Daniel Chandran, Binh Minh Ha
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      This study aims to examine the influences of environmental and personal factors on knowledge-sharing behaviour (KSB) of academics and whether more influence leads to superior innovative work behaviour (IWB) at the tertiary level in Vietnam. A questionnaire survey was conducted as part of the study, including 320 academic staff at Hanoi University, one of the leading public universities in Vietnam. This study applies the structural equation modelling (SEM) to investigate the research model based on social cognitive theory (SCT). The results show that two environmental factors (subjective norms and trust) and two personal factors (knowledge self-efficacy and enjoyment in helping others) significantly influence KSB. The results also indicate that employee willingness to share knowledge enables the organisation to promote innovative work behaviour. The study context was limited to only one Vietnamese university. It appears that the part of a bigger picture of knowledge sharing (KS) in Vietnamese universities is likely to be lost. However, given the previous studies on knowledge sharing in both developed and developing countries, it could be expected that the results of this study can be taken forward by university leaderships, academic staff and researchers in other contexts as well. A clear understanding of the critical factors that influence KSB towards promoting innovative work behaviour may help university leaders to develop suitable and evolving strategies to address the challenges of knowledge sharing. This study contributes to the growing literature on the relationships among environmental and personal factors and KSB towards promoting innovative work behaviour.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-09-09T08:11:25Z
      DOI: 10.1142/S0219649219500321
       
  • The Co-Evolution of IT, Knowledge, and Agility in Micro and Small
           Enterprises
    • Authors: Yolande E. Chan, James S. Denford, Junjun (Jane) Wang
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Small firms facing today's turbulent business environment often fail early in their life if they do not develop the necessary capabilities to survive. The main goal of this study is to investigate how IT and knowledge co-evolve, influencing a firm's agility, within the context of micro and small enterprises (MSEs). Applying the resource-based view of the firm and dynamic capabilities, a multiple case study of eight firms was used to explore links among business, IT and knowledge strategies, resources, and capabilities. Links among IT and knowledge capabilities and firm agility were also explored. The results demonstrate that an MSE's business strategy shapes, and is also shaped by, the firm's IT and knowledge strategies; and that both IT and knowledge capabilities shape, and are shaped by, the firm's agility, coevolving with it. By highlighting the important antecedents of small firm agility and presenting crucial links among agility, IT capabilities, and knowledge capabilities in MSEs, we encourage practitioners to think carefully about their IT and knowledge strategies and to rethink their use of firm resources and capabilities to develop agility in the face of environmental uncertainty and change.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-08-30T03:29:09Z
      DOI: 10.1142/S0219649219500278
       
  • What Drives University Technological Innovation Outcomes' A
           Re-Vitalised Investigation
    • Authors: Benjamin Yeo
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Universities are a source of technological innovation, which in turn facilitates economic growth. The Bayh–Dole Act of 1980 was enacted to support university research efforts. However, since its enactment, university technological innovation had been increasing slowly. This study applies the Technology, Organisation, and Environment framework to explore the current and future impact of university characteristics and regional industry R&D activities on university technological innovation and commercialisation. The study addresses three research gaps in the literature: (1) It investigates university and regional characteristics at the same time, (2) it includes both current and future impact on university innovation outcomes, and (3) it provides a timely update to fairly dated literature on the topic, using extensive quantitative analyses that differ from previous studies. The findings verify existing, albeit fairly dated, literature by demonstrating the positive impact of university characteristics and regional R&D activities; and extend the literature by showing their future impact to various degrees. The intricacies of the coefficients of impact enrich our understanding of how these drivers can be leveraged to boost university innovation outcomes. The results have implications on theory, policy and practice.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-08-30T03:29:08Z
      DOI: 10.1142/S0219649219500357
       
  • Knowledge Sharing Concept, Attitude and Influencing Factors: A Case with
           Indian Academic Librarians
    • Authors: Daud Khan, Naushad Ali
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The objective of the study is to examine the librarians' attitude towards knowledge sharing including its concept, potential benefits, communication channels, and influencing factors that may motivate or hinder knowledge sharing practices in academic libraries in India. A questionnaire was used for data collection, 91 LIS professionals from Indian academic libraries were surveyed. In addition, 10 in-depth interviews were conducted. The findings of the study show that understanding of knowledge sharing concepts among librarians is varied though most of them perceived knowledge sharing as “dissemination or exchange of knowledge (explicit and tacit) from one individual to another individual or group of people”. Moreover, librarians have a positive attitude towards knowledge sharing and believe that knowledge sharing improves the learning process and individual competencies as well as enhance the efficiency of library operations and services. Furthermore, email was found as the most preferred communication channel because of its accessibility, convenience, and personal warmness. Conspicuously, public recognition, rewards, knowledge self-efficacy and develop relations with colleagues were identified as key motivators and on the contrary, lack of trust, personal animosity, technological support and nepotism were found to be the major barriers for knowledge sharing practices. The findings of this study may be useful to the university authorities in India in designing and implementing an all-inclusive knowledge sharing strategy for LIS professionals.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-08-30T03:29:07Z
      DOI: 10.1142/S0219649219500345
       
  • Assessing the Awareness and Usage of Reference Management Software (RMS)
           Among Researchers of the Council for Scientific and Industrial Research
           (CSIR) Ghana
    • Authors: Kwabena Asiedu Bugyei, Raphael Kwame Kavi, Grace Obeng-Koranteng
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The study seeks to ascertain the levels of awareness and usage of reference management software (RMS) among researchers of the Council for Scientific and Industrial Research (CSIR), Ghana. The purpose and benefits as well as challenges associated with the use of these tools were also discussed. Descriptive survey methodology was employed for this study. A web-based questionnaire consisting of both multiple-choice and open-ended questions was used to collect data from 110 scientists in 13 research institutes of the CSIR, Ghana. Results show that overwhelming majority of scientists (80%) are aware and know about RMS. However, the adoption and usage of these tools are low. The percentage of non-usage was higher among the older scientists (22% for over 51 years) as against the younger researchers (9% for 31 to 40 years). Overall, 33.6% do not use RMS at all, and scientists occasionally used RMS. Mendeley was the most popularly used software among respondents. Results also show that most of the respondents got to know about RMS through training workshops and seminars. Most of the respondents had not received any training and for those who had attended a training workshop or seminar, majority of them noted that it was very easy to use. The main purpose of using these tools was for research work and literature review. Major benefits of using RMS packages are automatic generation of references list, electronic creation of bibliographies and changing of referencing style by a click of a button. Challenges associated with the use of these tools were slow internet connection, lack of training, and technical support. The study recommended that CSIR should make the effort to acquire these tools. Scientists should also be given the necessary training and technical support in order to effectively use these softwares.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-08-30T03:29:06Z
      DOI: 10.1142/S021964921950031X
       
  • A Revisit of the Learning Organisation: Is It Time'
    • Authors: Alaina M. Doyle, Karen R. Johnson
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The learning organisation (LO) phenomenon was created over 25 years ago. Several definitions of the LO have evolved as well as frameworks, features, and characteristics. One of the challenges of the LO’s credibility was the impetus of the creation of empirical methods. The LO theory has stabilised with the involvement of human resource (HR) researchers to bridge the gap between theory and practice. However, in a rapidly changing, complex, diverse, and competitive work environment, now may be the opportune time to further investigate the scope of the LO. The study examines the utility of the LO definitions and frameworks in relation to shifts in the environment to determine if the concept continues to withstand the landscape of the current workplace and beyond. The importance of creating an LO continues to be top priority in numerous organisational industries and communities and its reach is expanding to a variety of populations. However, the LO concept does not necessarily address constantly changing and complex workplace work demands. Therefore, a new definition of the LO is proposed. Recommendations for future studies and implications for HR research and practice are included.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-08-13T02:44:53Z
      DOI: 10.1142/S0219649219500308
       
  • Erratum: Hybrid Group Recommendation Using Modified Termite Colony
           Algorithm: A Context Towards Big Data
    • Authors: Arup Roy, Soumya Banerjee, Chintan Bhatt, Youakim Badr, Saurav Mallik
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.

      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-08-13T02:44:53Z
      DOI: 10.1142/S0219649219920011
       
  • Effectiveness of Domain-Based Lexicons vis-à-vis General Lexicon for
           Aspect-Level Sentiment Analysis: A Comparative Analysis
    • Authors: Madan Lal Yadav, Basav Roychoudhury
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      One can either use machine learning techniques or lexicons to undertake sentiment analysis. Machine learning techniques include text classification algorithms like SVM, naive Bayes, decision tree or logistic regression, whereas lexicon-based sentiment analysis uses either general or domain-based lexicons. In this paper, we investigate the effectiveness of domain lexicons vis-à-vis general lexicon, wherein we have performed aspect-level sentiment analysis on data from three different domains, viz. car, guitar and book. While it is intuitive that domain lexicons will always perform better than general lexicons, the actual performance however may depend on the richness of the concerned domain lexicon as well as the text analysed. We used the general lexicon SentiWordNet and the corresponding domain lexicons in the aforesaid domains to compare their relative performances. The results indicate that domain lexicon used along with general lexicon performs better as compared to general lexicon or domain lexicon, when used alone. They also suggest that the performance of domain lexicons depends on the text content; and also on whether the language involves technical or non-technical words in the concerned domain. This paper makes a case for development of domain lexicons across various domains for improved performance, while gathering that they might not always perform better. It further highlights that the importance of general lexicons cannot be underestimated — the best results for aspect-level sentiment analysis are obtained, as per this paper, when both the domain and general lexicons are used side by side.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-08-13T02:44:51Z
      DOI: 10.1142/S0219649219500333
       
  • Factors that Influence Farmers’ Information Seeking Behaviour: A Study
           of Sri Lankan Vegetable Farmers
    • Authors: M. G. P. P. Mahindarathne, Qingfei Min
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Information and communication technology (ICT) plays a vital role in disseminating agricultural information. In this backdrop, to make use of ICT for a prolific agriculture information dissemination, it is vitally important to gain a comprehensive understanding of the farmers’ information seeking behaviour. Despite the vitality, very few informational studies have been carried in Sri Lankan agriculture, particularly with respect to vegetable farmers in the country. To bridge this existing knowledge gap, this study sets out to investigate the information seeking behaviour (ISB) of vegetable farmers in Sri Lanka. Wilson’s general model of information seeking behaviour 1996 was selected to guide the present study. Primary data were collected through a questionnaire survey of 289 vegetable farmers and were analysed by performing a regression analysis. The regression analysis revealed that vegetable farmers’ ISB is greatly influenced by their information need and the channel characteristics. The regression results further revealed that the demographic characteristics such as age, education, farming experience and training, operational factors such as land extent, land ownership and types of farming system, and personal and role-related factors such as perception of agri-information and information sharing behaviour also influence vegetable farmers’ ISB significantly. The study findings will inform the policymakers, information systems and applications designers, and researchers about the factors that affecting on ISB of farmers. Furthermore, this study will help stimulate similar studies in developing countries.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-08-13T02:44:50Z
      DOI: 10.1142/S0219649219500370
       
  • TwitSenti: A Real-Time Twitter Sentiment Analysis and Visualization
           Framework
    • Authors: Jamuna S. Murthy, G. M. Siddesh, K. G. Srinivasa
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Twitter is considered as one of the world’s largest social networking sites which allow users to customize their public profile, connect with others and interact with connected users. The proposed work introduces a distributed real-time twitter sentiment analysis and visualization framework by implementing novel algorithms for twitter sentiment analysis called Emotion-Polarity-SentiWordNet. The framework is applied to build an interactive web application called “TwitSenti” which can benefit companies and other organizations in knowing the people’s sentiment towards the aspects such as brands, current events, etc., which in turn helps in quick decision-making and planning marketing strategies. The algorithm is validated against three existing classifiers and hence proved that Emotion-Polarity-SentiWordNet provides highest accuracy value of 85%. Also, the framework showed best scalability results when evaluated through web app as four node clusters, proves to be fast and can scale well with massive data.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-06-07T07:34:20Z
      DOI: 10.1142/S0219649219500138
       
  • Ontological Concepts and Taxonomies for Nano World
    • Authors: Adilbek O. Erkimbaev, Vladimir Yu. Zitserman, Georgii A. Kobzev, Andrey V. Kosinov
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The purpose of the paper is to provide a detailed overview of the methods of indexing and categorizing data generated to solve problems in a complex and multifaceted field of knowledge related to the application of nanotechnology. Analysis of the capabilities and restrictions of various categorization methods are applied to the issues of the subject field, starting with simple classification schemes and up to high level ontologies. The content of integrating methods and approaches developed in many natural sciences is considered: life science, chemistry, material science, etc. The main restriction of the currently applicable ontologies and vocabularies has been identified — a primary focus on the tasks of bio- and medical informatics. It is shown that the way to overcome them includes the adoption of a new system for describing nanomaterials proposed in the CODATA-VAMAS international project. The overview shows how the extreme broadness and continuous evolution of the subject field are reflected in the means of data categorization. It is shown that the most developed of them can serve as a basis for building a knowledge base. The prospective tasks of nanoinformatics are stated required to be solved to cover fundamentally unlimited classes of materials, their properties and fields of application.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-05-30T02:46:33Z
      DOI: 10.1142/S021964921950014X
       
  • Model of Emerging Technology Adoption (META): Virtual Reality as a Case
           Study
    • Authors: Mohanad Halaweh
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Although technology acceptance and adoption have been intensively investigated using well-established theories called the Technology Acceptance Model (TAM) and Innovation Diffusion Theory (IDT), this paper claims that Emerging Technology (ET) has particular characteristics that differentiate it from the adoption of traditional technology that has been used for a long time. Therefore, it argues that TAM and IDT are not sufficient to investigate the adoption of ET. Investigating the adoption of ET requires additional, unique, non-traditional factors (constructs). Therefore, this paper aims first to conceptually develop a model of ETs adoption (META). To achieve this objective, TAM and IDT will be reviewed. Then, this paper will use the characteristics of ET as the basis for developing the factors that influence the adoption of ET. Secondly, to validate the model, a case study of an ET (i.e. Virtual Reality) will be analysed in-depth to reveal the factors that influence on its adoption by applying META. A discussion of META applications and implications for future research are also provided.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-05-30T02:46:32Z
      DOI: 10.1142/S0219649219500205
       
  • Combination of Complementary Technological Knowledge to Generate “Hard
           to Imitate” Technologies
    • Authors: Feng Zhang, Guohua Jiang
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Valuable technological knowledge attracts more imitations. In light of knowledge-level perspective, this study investigates how firms could generate rare and valuable knowledge that is also hard to imitate. By applying specialised complementary assets concept to the technological portfolio of a firm, we show that core and background technological knowledge from internal and external sources, respectively, are complementarily combined to create new technologies that delay inter-firm knowledge externalities and that generate significant intra-firm knowledge flows simultaneously. The results suggest that the combination of knowledge in certain technological categories would have significant appropriability benefits, allowing firms to generate valuable and hard to imitate technological knowledge. This finding contributes to knowledge management, patent economics, and appropriability literature. Managerial implications for knowledge management are also discussed.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-05-30T02:46:32Z
      DOI: 10.1142/S0219649219500230
       
  • Community Detection in Social Networks: Literature Review
    • Authors: Seema Rani, Monica Mehrotra
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Due to easy and cost-effective ways, communication has amplified many folds among humans across the globe irrespective of time and geographic location. This has led to the construction of an enormous and a wide variety of social networks that is a network of social interactions or personal relations. Social network analysis (SNA) is the inspection of social networks in order to understand the participant’s arrangement and behaviour. Discovering communities from the social network has become one of the key research areas in SNA. Communities discovered from social networks facilitate its members so as to interact with relatable people who have similar or comparable interests. However, in present time, the enormous growth of social networks demands an intensive investigation of recent work carried out for identifying community division in social networks. This paper is an attempt to enlighten the ongoing developments in the domain of Community detection (CD) for SNA. Additionally, it sheds light on the algorithms which use meta-heuristic optimisation techniques to hit upon the community structure in social networks. Further, this paper gives a comparison of proposed methods in recent years and most frequently used optimisation approaches in the domain of CD. It also describes some application areas where CD methods have been used. This guides and encourages researchers to probe and take ahead the work in the area of detecting communities from social networks.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-05-29T03:09:18Z
      DOI: 10.1142/S0219649219500199
       
  • Building Smart Knowledge Mapping Conceptual Model
    • Authors: Dana Indra Sensuse, Shidiq Al Hakim
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Transformation in patterns of human interaction has shifted significantly in the use of the Internet, as these trends are rapidly evolving with the advent of online means for social interaction, such as social media, social networking, messaging, and so on. The transformation happens to give us challenges and opportunities to improve the quality of knowledge management undertaken by an organization. The most critical problem that in knowledge management issue is how to identify the state, ownership, and connectedness of critical knowledge in an organization visually. The studies to overcome these problems already done with a knowledge map approach, but in practice to do knowledge mapping is still done partially, either by the manual or automatic approach. Accordingly, this study aims to identify the critical components in building integrated knowledge maps from various electronic information sources that developed in the current Internet era. Through a literary study in an article that examines the map model of knowledge and by analysing smart terminology in several contexts from several kinds of literature. This study proposes a model of smart knowledge mapping conceptual model to be an initial model in developing a knowledge map that integrates various critical components.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-05-27T06:56:23Z
      DOI: 10.1142/S0219649219500217
       
  • Knowledge Management and Its Impacts on Organisational Performance: An
           Empirical Research in Public Higher Education Institutions of Vietnam
    • Authors: Nguyen Ngoc-Tan, Aleš Gregar
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Studies that acknowledge the association between knowledge management (KM) and organisational performance (OP) are replete in extant literature. However, there are few of them providing empirical evidence of this relationship especially in academia. Multiple conjectures are made about this little-known relationship. This paper aims to explore the impacts of KM on OP in the public higher education institutions (HEIs) of Vietnam. Results of the studies were generated based on survey data collected in 30 universities located in three regions of Vietnam during 2017 by means of structured questionnaire. The hypothesised relationships between KM and OP are tested using structural equation modelling (SEM). Findings of the research showcase that KM does exert its impacts but not on all dimensions of OP in the public HEIs of Vietnam. Besides adding to the literature on performance management in academia by demonstrating the impacts of KM as a managerial tool for increasing OP, the paper also presents measurement dimensions with specific scale items measuring KM and OP of a HEI. Avenues for future research are also recommended.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-05-27T06:56:22Z
      DOI: 10.1142/S0219649219500151
       
  • Investigating the Impact of Using Knowledge Management on Organisational
           Agility through Competitive Intelligence and Strategic Thinking
    • Authors: Hossein Sayyadi Tooranloo, Sepideh Saghafi
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Agility is a necessary condition, which is known as the main factor for the success of corporations to compete. In this sense, organisations have to determine their strategic priorities and accordingly develop and implement appropriate strategies in order to preserve their growth and survival. Meanwhile, managers play an important role in the process of strategic planning and making decisions related to their way of thinking. In addition, the existence of competitive intelligence plan for organisations has a striking role to optimally use the existing opportunities and using knowledge management (KM) in the organisation provides a platform to do so. This work aims to study the impact of using knowledge management on organisational agility as a case study in the ceramic and tile industry of the provinces of Yazd and Kerman. The data was collected using questionnaires. The structural equation modelling was used to analyse the research hypotheses using LISREL software. The results of the study showed that knowledge management application has a positive and significant effect on agility through using competitive intelligence and strategic thinking.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-05-27T06:56:22Z
      DOI: 10.1142/S0219649219500163
       
  • The Impact of ERP System on Academic Performance: A Case Study Approach
    • Authors: Ahmad Saleh Shatat
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Enterprise Resource Planning (ERP) system is a very powerful solution to many academic and non-academic institutions in case it has been implemented and used effectively. Otherwise, the system will interrupt several business processes. This research paper investigates the impact of ERP system on academic performance at Sohar University. A survey questionnaire is distributed to several academic stakeholders to investigate the impact of ERP system on academic performance within the University context. A total of 110 questionnaires was received from the key academic stakeholders to examine the relationship between the three core ERP modules i.e. the students’ information module, the financial module, and human resource module. The research outcomes indicate that there is a relationship between the three modules and the academic performance. However, only students’ information module and financial management module demonstrate a significant impact on academic performance, though the human resource module shows no impact on the academic performance at Sohar University. This study is a single case study approach, which might limit the findings to be generalized on other education institutes, but it gives a chance to other researchers to do multiple case studies in other Universities in the region.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-05-27T06:56:22Z
      DOI: 10.1142/S0219649219500187
       
  • Towards a Comprehensive Knowledge Management Improvement Model for Medical
           Laboratories
    • Authors: Lamiae Bentaleb, Saâd El Kabbaj, Mimoun Zouhdi
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Medical laboratories are complex facilities in which managing knowledge could impact patients’ lives. This paper presents a comprehensive and phased framework for knowledge management (KM) developed and applied within the Research and Medical Analysis Laboratory of the Gendarmerie Royale in Morocco. The model is built according to the PDCA wheel, and the four pillars of methodology are: leadership, knowledge core process, performance evaluation, and finally elements for its continuous improvement. This KM framework will help identify the knowledge needs and expectations of the medical laboratory’s relevant interested parties, support medical laboratory professionals with the decision-making process, and therefore enhance the quality of the services they provide.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-05-27T06:56:21Z
      DOI: 10.1142/S0219649219500242
       
  • Scientific Experimental Data Representation Standard through Knowledge
           Metadata Representation Model
    • Authors: Nur Adila Azram, Rodziah Atan
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The growth of data from scientific experiments is increasing nowadays. These data came from different experiments done through various laboratory instruments or machines. It became an issue to manage and analyse scientific experimental data because of the heterogeneous nature of data structure and format. This paper proposed a knowledge metadata representation model to standardise the scientific experimental data representation to make it a standard structure. We discussed the methodology of the proposed model and gives the analysis of results. The evaluation and validation of the knowledge metadata representation model, as well as the verification of the metadata elements extraction, show promising results.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2019-05-23T08:50:10Z
      DOI: 10.1142/S0219649219500229
       
 
 
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