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Journal Cover Journal of Information & Knowledge Management
  [SJR: 0.339]   [H-I: 12]   [186 followers]  Follow
    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
   ISSN (Print) 0219-6492 - ISSN (Online) 1793-6926
   Published by World Scientific Homepage  [118 journals]
  • Competition Trading and Exporting Acting by Inter Marketing Managers
    • Authors: Nasser Fegh-Hi Farahmand
      Abstract: Journal of Information & Knowledge Management, Volume 16, Issue 03, September 2017.
      In order to achieve marketing success, it is important to understand the relationship between marketing strategy planning by marketing managers and strategy deployment success. Trading and Exporting Organisations (TEOs) influence whether or not those organisations engage in Competition Trading and Exporting Acting (CTEA). The focus is primarily on the environmental characteristics of Inter marketing Managers (IMs) such as education and prior experience rather than those characteristics derived from personality traits. Data are drawn from a survey of the TEO in trading and industrial zones of North West of Iran that around one-sixth the samples of IM engage in CTEA. The IM characteristics showing a significant association with a commitment to CTEA include an above average level of education, experience and running organisation in sectors outside their previous experience. CTEA showed a positive association with those IM with a growth orientation. It is concluded that IM characteristics can be important in explaining the CTEA within the TEO.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-07-31T08:44:29Z
      DOI: 10.1142/S0219649217500290
       
  • Transformational and Transactional Leadership Behaviours and their Effect
           on Knowledge Workers' Propensity for Knowledge Management Processes
    • Authors: Menike Atapattu, Gayani Ranawake
      Abstract: Journal of Information & Knowledge Management, Volume 16, Issue 03, September 2017.
      This paper seeks to raise the question as to why knowledge management (KM) initiatives adopted by organisations fail to achieve the intended outcomes. Based on literature, it is argued, first, that internal leadership is the most critical antecedent which leads knowledge workers (KWs) propensity to engage in KM processes and second, that, transformational and transactional leader behaviours are the key predictors of KM propensity. Consequently, four types of transformational leader behaviours and two types of transactional leader behaviours are conceptualised as energisers of KWs propensity to KM processes and thus bring the KM success. Accordingly, the paper extends current understanding of the association between KM and leadership considering the specific leader behaviours in both transformational and transactional leadership theory where neither the KM nor the leadership field provides a detailed explanation of specific leader behaviours.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-07-31T08:44:27Z
      DOI: 10.1142/S0219649217500265
       
  • Ontology Based Arabic Opinion Mining
    • Authors: Alaa El-Halees, Ahmed Al-Asmar
      Abstract: Journal of Information & Knowledge Management, Volume 16, Issue 03, September 2017.
      In Arabic language, studies in the area of opinion mining are still limited compared to that being carried out in other languages. In this paper, we highlight the problem for Arabic opinion mining techniques when analysing reviews having different features with different opinion strengths. The traditional works of opinion mining consider all features extracted from the reviews to be equally important, so they fail to determine the correct opinion of the review and make the review's sentiment classification less accurate. This research presents a technique based on an ontology that uses feature level classification to classify Arabic user-generated reviews by identifying the relevant features from the review based on the degree of these features in the ontology tree. Then, we exploit the important features extracted to determine the overall polarity of the review. Moreover, summarisation for each feature is done to determine which feature has satisfied or dissatisfied customers. To evaluate our work, we use public datasets which are hotels and books datasets. We used [math]-measure metrics to assess the performance and compare the results with other supervised and unsupervised techniques. Also, subjective evaluation is used in our method to demonstrate the effectiveness of feature and opinion extraction process and summarisation. We show that our method improves the performance compared with other opinion mining classification approaches, obtaining 78.83% [math]-measure in hotels domain and 79.18% in books domain. Furthermore, the subjective evaluation shows the effectiveness of our method by getting an average [math]-measure of 84.62% in hotels dataset and 86.31% in books dataset.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-07-31T08:44:26Z
      DOI: 10.1142/S0219649217500289
       
  • Prediction Model of School Readiness
    • Authors: Iyad Suleiman, Maha Arslan, Reda Alhajj, Mick Ridley
      Abstract: Journal of Information & Knowledge Management, Volume 16, Issue 03, September 2017.
      Studying the school readiness is an interesting domain that has attracted the attention of the public and private sectors in education. Researchers have developed some techniques for assessing the readiness of preschool kids to start school. Here we benefit from an integrated approach which combines Data Mining (DM) and social network analysis towards a robust solution. The main objective of this study is to explore the socio-demographic variables (age, gender, parents' education, parents' work status, and class and neighbourhood peers influence), achievement data (Arithmetic Readiness, Cognitive Development, Language Development, Phonological Awareness), and data that may impact school readiness. To achieve this, we propose to apply DM techniques to predict school readiness. Real data on 306 preschool children was used from four different elementary schools: (1) Life school for Creativity and Excellence a private school located in Ramah village, (2) Sisters of Saint Joseph missionary school located in Nazareth, (3) Franciscan missionary school located in Nazareth and (4) Al-Razi public school located in Nazareth, and white-box classification methods, such as induction rules were employed. Experiments attempt to improve their accuracy for predicting which children might fail or dropout by first, using all the available attributes; next, selecting the best attributes; and finally, rebalancing data and using cost sensitive classification. The outcomes have been compared and the models with the best results are shown.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-07-31T08:44:20Z
      DOI: 10.1142/S021964921750023X
       
  • E-Learning in Jordanian Higher Education: Cultural Perspectives and
           Institutional Readiness
    • Authors: Duha Alsmadi, Chen Jianping, Victor Prybutok, Guruprasad Gadgil
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      This study explores students’ acceptance of e-learning technology in Jordanian higher educational institutions. A paucity of studies that were conducted in individual institutions indicated that different cultural perspectives and resistance to change are overlaying the wide adoption of e-learning and influencing users’ perceptions pertaining the technology usefulness and/or ease of use. Our study utilises the technology acceptance model (TAM) and explores the influence of the main antecedents of accepting this technology from users’ perspectives, that is, perceived usefulness (PU) and perceived ease of use (PEU) in order to reveal the country’s readiness to adopt this technology and move from individual innovations to institutional standards. The results obtained using a survey-based methodology from three main public and private institutions distributed in multiple geographical areas show that the actual behaviour of usage is influenced by behavioural intention (BI), which is directed by PU, PEU, and attitude. Based on these results, multiple recommendations pertaining to cultural perspectives and educational institutions readiness are proposed and implications of the study are discussed.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-09-27T08:04:02Z
      DOI: 10.1142/S0219649217500356
       
  • The Influence of an Integrated View of Source’s Expertise on
           Knowledge Transfer
    • Authors: Kwangsu Cho, Sehee Han, Ting-Ting (Rachel) Chung, Patrick J. Bateman
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Many studies focus on the effect of a source’s expertise, but little attention has been paid to what happens in the event of a misalignment between who is knowledgeable (cognitive expertise) and who is regarded as being knowledgeable (social expertise). The emphasis on expertise alignment in this study suggests the importance not of simply having a transactive memory system, but rather, of having an accurate transactive memory system in place. Using experimental data from a sample of 134 participants, the results indicate that the knowledge transfer is greater in the source’s cognitive-social expertise alignment than in the misalignment, but the source’s cognitive expertise could be a more significant criterion for the knowledge transfer in the expertise misalignment. In the view of source-recipient dynamics, knowledge transfer is greater in the low cognitive expertise gap condition than in the high cognitive expertise gap condition. The results contribute to the understanding of the role of a source’s expertise in knowledge transfer from a socio-cognitive perspective.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-09-26T03:16:52Z
      DOI: 10.1142/S0219649217500332
       
  • A Knowledge-Based Framework for Service Management
    • Authors: John N. Walsh, Jamie O’Brien
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The purpose of this paper is to investigate how information and communication technologies are used for service standardisation, customisation, and modularisation by knowledge-intensive service firms through the development and empirically validation of a knowledge-based framework. This paper uses 59 in-depth interviews, observational data, and document analysis from case studies of three service-related departments in high-technology, multinational knowledge-intensive business services (KIBSs). Prior research does not conceptualise the relationships between service customisation, standardisation and modularisation. This paper seeks to overcome this gap by integrating insights from research on the role played by both knowledge and information and communication technologies (ICTs) to construct and validate a framework to deal with this gap. It outlines the implications for service firms use of ICT to deal with increasing knowledge intensity as well as indicating the circumstances under which service knowledge is best customised, standardised and modularised. Further testing in other industries would prove useful in extending the usefulness and applicability of the findings. The originality of the paper lies in developing and validating the first framework to outline the relationship between how service knowledge is customised, standardised or modularised and indicating the associated issues and challenges. It emphasises the role of knowledge and technology. The value of this framework increases as more firms deal with increasing knowledge intensity in the services they provide and in their use of ICTs to reap the benefits of appropriate knowledge reuse.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-09-22T03:15:09Z
      DOI: 10.1142/S0219649217500393
       
  • Motivating Knowledge Sharing Among Undergraduate Medical Students of the
           University of Lahore, Pakistan
    • Authors: Ghulam Murtaza Rafique, Mumtaz A. Anwar
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Objectives: This study aimed at exploring the factors that motivated and hindered the medical students to share their knowledge with each other. Method: A survey questionnaire was used to collect the data from 260 medical students selected by proportionate stratified simple random sampling technique from University College of Medicine of The University of Lahore, Pakistan. Results: A total of 252 (96.9%) questionnaires were received from respondents. Of the seven purposes for knowledge sharing (KS) (if grades/exams do matter), two obtained a maximum mean score of 3.88; while one got 4.02 if grades/exams do not matter. Four of the eight motivational factors got top mean scores of 3.59 to 3.88. Of the 11 barriers, “People only share with those who share with them” obtained a highest mean score (3.81). Conclusions: Major findings showed that medical students discussed exam-related matters and enhanced their own understanding by KS. Class participation and group discussion stimulated them to share knowledge with their peers. They considered give-and-take a big barrier of KS. The overall opinions of female students scored higher than males.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-09-22T03:15:09Z
      DOI: 10.1142/S0219649217500411
       
  • The Impact of Online Learning Activities on Student Learning Outcome in
           Blended Learning Course
    • Authors: Viet Anh Nguyen
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The aim of the study is to determine the impact of online learning activities on learning outcomes of students who participated in the blended learning course, focusing specifically on skill-based courses. The learning outcomes or results of a learner are usually measured by scores, knowledge or skills gained in the course. In blended learning courses, the learning outcomes can be assessed according to many criteria. In this study, interactive activities such as teacher–student interaction, student–student interaction, student–content interaction and student–technology interaction are considered. Undergraduate students participated in the blended learning course in which formative assessment was used to evaluate student learning outcomes by the combination of different learning activities through a learning management system. The quantitative results obtained by using regression analysis of data from the system showed that the students who effectively interacted with learning activities in the course have better results. Quantitative analytical results indicated that student–student interaction has a greater impact on student learning outcomes. These learning activities are used for interactive activities as suggestions for teachers to design and implement learning activities for blended learning courses.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-09-22T03:15:08Z
      DOI: 10.1142/S021964921750040X
       
  • Strategies of Knowledge Management Implementation for Academic Services
           Improvement of Indonesian Higher Education
    • Authors: R. Novie Nayyarah Nur, Anas Miftah Fauzi, Heru Sukoco
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      This study aimed to analyse the implementation form and the maturity level of knowledge management (KM) and formulate recommendations of KM implementation strategies for improvement of academic services at universities in Indonesia. The analysis of the KM implementation was conducted at four top universities in Indonesia based on the ranking of the Indonesian Ministry of Research, Technology and Higher Education 2016, viz., ITB, UGM, UI and IPB. Primary data were obtained from the library of ITB, UGM, UI, and IPB and from 510 academicians of IPB, while secondary data obtained by content analysis. The result showed that the top four universities in Indonesia have had the basic infrastructure for KM implementation; their managements have been actively participating in the promotion of KM initiatives by articulating KM strategy and providing budgetary allocations and rewards system. Several pilot projects were undertaken to develop KM application into a higher level. The utilisation of KM application has not been optimal; knowledge sharing has not yet become a culture. The KM maturity implementation in the library of ITB, UGM, UI and IPB is at the third level. The result of the measurement of interoperability maturity level of seven IPB academic service applications just on the average reaches third level and is still in the stage of data integration. The KM implementation strategies that were recommended to improve the academic services at IPB, among other things, the reinforcement of the role of chief knowledge officer, the promotion of knowledge sharing culture with the knowledge repository optimisation, the formation of a community of practices, the development of knowledge portal, the optimisation of e-learning system and the improvement of rewards system.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-09-22T03:15:07Z
      DOI: 10.1142/S0219649217500320
       
  • Phishing Detection: A Case Analysis on Classifiers with Rules Using
           Machine Learning
    • Authors: Fadi Thabtah, Firuz Kamalov
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      A typical predictive approach in data mining that produces If-Then knowledge for decision making is rule-based classification. Rule-based classification includes a large number of algorithms that fall under the categories of covering, greedy, rule induction, and associative classification. These approaches have shown promising results due to the simplicity of the models generated and the user’s ability to understand, and maintain them. Phishing is one of the emergent online threats in web security domains that necessitates anti-phishing models with rules so users can easily differentiate among website types. This paper critically analyses recent research studies on the use of predictive models with rules for phishing detection, and evaluates the applicability of these approaches on phishing. To accomplish our task, we experimentally evaluate four different rule-based classifiers that belong to greedy, associative classification and rule induction approaches on real phishing datasets and with respect to different evaluation measures. Moreover, we assess the classifiers derived and contrast them with known classic classification algorithms including Bayes Net and Simple Logistics. The aim of the comparison is to determine the pros and cons of predictive models with rules and reveal their actual performance when it comes to detecting phishing activities. The results clearly showed that eDRI, a recently greedy algorithm, not only generates useful models but these are also highly competitive with respect to predictive accuracy as well as runtime when they are employed as anti-phishing tools.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-09-22T03:15:06Z
      DOI: 10.1142/S0219649217500344
       
  • Linking Human Capital and Organisational Innovative Capabilities of
           Financial Institutions: Evidence from a Developing Country of South Asia
    • Authors: Umer Ayub, Abdul Rashid Kausar, Mubashar Majeed Qadri
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Organisational collective knowledge plays an important role in innovation and also provides a competitive advantage. Human Capital (HC) is the sum total of intelligence found in individual human beings and consists of individual’s learning and education, experience and expertise, and personal creativity and innovation. Researchers believed that only innovative organisations are going to survive in future in the knowledge-economy. The present research is aimed to study the impact of HC on Innovative Capability (IC) of a financial institution. This impact is empirically tested through a cross-sectional survey in which randomly selected 170 participants of a commercial bank verified the four proposed hypotheses. The findings endorsed four aspects of the study. First, HC was influenced by bank officers’ skills/competence, knowledge, abilities, personal mastery and their transformational leadership role. Second, IC of the bank has been found influenced by support for innovation available to bank officers, bank officers’ innovative behaviour, and tolerance for difference available to them. Third, the bank officers’ leadership role, personal mastery, and their abilities were significant and positively related to bank’s IC, whereas, bank officers’ knowledge was significant but negatively related to bank’s IC. Finally, the fourth finding of the study suggested that bank’s collective HC is having a positive relationship with bank’s IC. The study would help managers to identify important HC elements suitable for financial organisations that could have an impact on its IC.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-09-22T03:15:05Z
      DOI: 10.1142/S0219649217500423
       
  • Document Selection for Knowledge Discovery in Texts: Framework Development
           and Demonstration
    • Authors: Benjamin Matthies, André Coners
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The large and constantly growing amounts of available text documents hold great potential for the exploration of knowledge. However, in the light of the vast quantity and variety of available documents, one fact should not be forgotten: the results of a knowledge discovery in texts are only as good as the underlying document collection. That is why analysts have to ensure that document collections adequately represent the specific area under examination and thereby to minimise the bias and to maximise the generalisable nature of the knowledge brought to light. Surprisingly, knowledge management research has barely paid any attention to the problems of such a document quality assessment and rigorous document selection. This paper addresses that research gap and makes two contributions: In the first step, building on a cross-disciplinary exchange with social research, development of a framework for the quality assessment and collection of documents. This artefact provides concrete guidance for compiling suitable, high-quality document collections and makes a contribution to ensuring “document collection quality” within the context of knowledge discovery in texts. In the second step, the framework is evaluated in a practical demonstration. In this context, the demonstration also exemplifies how different document collections influence the results of knowledge discoveries.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-09-22T03:15:04Z
      DOI: 10.1142/S0219649217500381
       
  • Codification, Personalisation, or in Between' Exploring Knowledge
           Characteristics to Guide Knowledge Management System Design
    • Authors: Dirk Basten, Linda Schneider, Oleg Pankratz
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The effectiveness of information technology (IT) depends on its embeddedness into its contingent context. Thus, enabling adequate knowledge management (KM) system design requires awareness of the characteristics of the knowledge that is created. Since related insights are missing, we explore what software developers learn on their projects by conducting interviews based on the Repertory Grid Technique. We assess the characteristics of the identified knowledge and skills and derive suggestions for KM system design accordingly. Our study gives rise to challenge the common idea that KM design should be chosen according to the type of knowledge (explicit versus tacit) to be managed. Incorporating further knowledge characteristics (task domain and volatility of knowledge), our results indicate that organisations should implement a codification strategy or a strategy between codification and personalisation, depending on the knowledge at hand.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-09-19T06:27:47Z
      DOI: 10.1142/S021964921750037X
       
  • OntoDTA: Ontology-Guided Decision Tree Assistance
    • Authors: Khaled Benali, Sidi Ahmed Rahal
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The effective application of a Decision Tree (DT) process is beset with many difficult and technical decisions about the choice of algorithms, parameters, evaluation, etc. Therefore, we propose assistance by using ontologies for addressing the above-mentioned challenges that face the non-specialist DT miner (person). Ontologies have been used in various research areas such as computer science, including data mining tools. In this paper, we propose the realisation of a domain ontology for DT OntoDTA to empower the non-specialist DT miner throughout the key phases of the DT process. OntoDTA ontology contains the knowledge of DT and provides a common terminology that can be shared and processed by DT miners.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-07-20T05:51:36Z
      DOI: 10.1142/S0219649217500319
       
  • High Attrition Rate Determinants: Case Study of the Malaysian ICT Sector
    • Authors: Elsadig Musa Ahmed, Tan Khai Yang
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      This study attempts to establish the factors determining high attrition rate for Information and Commiunication Technology (ICT) sector in Malaysia. The high attrition rate determinants include job opportunity, job stability, job satisfaction, managerial support and talent management. The sampling techniques for this study are based on purposive and non-probability approach where the sampling process only involved employees from ICT companies with Multimedia Supercorridor (MSC) status in Malaysia. The questionnaire has been delivered to 300 employees from local and multinational ICT companies with MCS status in Malaysia via email. Out of 300 questionnaires sent out, 115 questionnaires were received and 8 were not completed, thus the overall response rate for the study is 35.67%. Based on the result, four determinants (job opportunity, job stability, managerial support and talent management) were found having positive relationship with attrition rate for ICT sector in Malaysia. However, job satisfaction was found to be having a negative relationship with the attrition rate for ICT sector in Malaysia. This study identified the most important determinants that cause high attrition rate for ICT sectors in Malaysia. The findings of this study expected to help organisations in ICT sectors to have better guidance and clearer direction while implementing employee retention strategies to reduce the attrition rate.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-07-17T10:51:08Z
      DOI: 10.1142/S0219649217500307
       
  • Knowledge Management for Development: Rethinking the Trends of Knowledge
           Management Research in South Africa
    • Authors: Madeleine C. Fombad, Omwoyo Bosire Onyancha
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Abstract. In the knowledge-based economy, there is a growing realisation among policy makers that knowledge assets, besides the tangible assets of financial capital and local infrastructure, are the prime creators of wealth. Given the developmental challenges facing South Africa and contemporary global societies, it is clear that Knowledge Management (KM) should not only be seen as a tool for organisational effectiveness, but also as a developmental strategy for nations and societies. As South Africa is developing policies and strategies to overcome its developmental challenges and also to remain competitive in the new global knowledge-based economy, the question that ought to be answered is: To what extend does research on KM address developmental issues in South Africa' This paper adopts a quantitative approach using bibliometric analysis to investigate the extent of research on KM on developmental targets in South Africa. A bibliometric study was conducted using four EBSCO-hosted databases to extract relevant data. It was noted that there has been continued growth in the number of KM publications in South Africa focusing on a variety of subject areas; limited researcher attention has been paid to KM for development (KM4D) and most of the research on KM4D addresses quality education and infrastructure, unemployment and economic growth. The study advocates for the need for academic institutions and research organisations to devote considerable attention to research that enhances the application and integration of the effectiveness of KM in South Africa’s development as the country strives to achieve its development goals.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-07-14T06:46:51Z
      DOI: 10.1142/S0219649217500216
       
  • A New Model for Integrating Phases of Decision-Making and Knowledge Base
           for Improving Customer Satisfaction
    • Authors: Wa’el Hadi
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Knowledge base is becoming a key factor within organisations, since it can maximise the probability and impact of customer satisfaction in, for example, an airline company. Therefore, phases of decision-making and knowledge base are widely used in airline companies to improve the degree of customer satisfaction. The objective of this paper is to develop a customer satisfaction model by integrating the phases of decision-making and knowledge base of Royal Jordanian Airlines. The data collection for this study is achieved quantitatively through a survey based on a sample set of 130. All individuals in the sample are employed by Royal Jordanian Airlines and are targeted with questionnaires, while the smart partial least squares (PLSs) technique is employed to analytically test each hypothesis. The results of the study find a positive interaction between the decision-making phases of intelligence and design in enhancing customer satisfaction, which is fully mediated by knowledge base. In addition, the results find a positive interaction between the decision-making phases of choice and implementation in enhancing customer satisfaction, which is partially mediated by knowledge base.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-07-14T06:46:51Z
      DOI: 10.1142/S0219649217500253
       
  • Fuzzy AHP Analysis of Firm-Level Knowledge Accumulation
    • Authors: Pham Thi Minh Ly, Wen-Hsiang Lai
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      Knowledge is considered to be a useful tool for a firm’s competitiveness and sustainability. There is considerable evidence confirming that firm-level knowledge (FLK) accumulation provides a competitive advantage for firms, through innovation. Therefore, most knowledge-intensive firms accumulate FLK via exploitative practices to prevent deterioration of their innovation performance. This study adopts methods including expert interviews, an analytic hierarchy process (AHP) and fuzzy set theory to analyse the FLK accumulation in firms. This study proposes that three influential factors for FLK accumulation are knowledge integration (KI), knowledge absorption (KA) and knowledge sharing (KS). This study reveals that KI is the most influential factor of a firm’s FLK accumulation, and the sub-factor of “Integration Ability” plays the most critical role of KI in FLK accumulation.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-07-14T06:46:50Z
      DOI: 10.1142/S0219649217500241
       
  • Study of Intellectual Capital Dimensions in IT Industry Using DEMATEL
           Method
    • Authors: Chandra Sekhar, Manoj Patwardhan, Vishal Vyas
      Abstract: Journal of Information & Knowledge Management, Ahead of Print.
      The purpose of this paper is to analyse the causal relation structure among the dimensions of Intellectual Capital (IC) by using the DEMATEL method. In this study, the dimensions of IC comprise human, structural, and relational capital. This study empirically analyses the causal relation structure with a sample of 18 (12 national and 6 multi-national) Information Technology (IT) firms operating in India. The respondents were the experts from IT firms encompassing chief executive officers, general managers, Human Resource (HR) managers, senior managers, and the IT consultants. Decision-Making Trial and Evaluation Laboratory (DEMATEL) method is used for the statistical treatment of the data. On the human, structural, and relational capital fronts, findings of the study suggest that “motivation of the personnel”, “operation process”, “brand value”, respectively, have the maximum causing properties. The study is limited to IT industry of India only. The dimensions of IC will differently trigger the attitude and behaviours of employees relevant for the parent organisation that helps the management to deal with different dynamic circumstances resulting in different outcomes. Study empirically assessed that there are synergy and causal relation structure between the dimensions. Present study contributes to retention and engagement of human capital and prefers potentially important policy implications. Examining the interrelationship among the dimensions of IC in the context of Indian IT is the novel contribution of the present study. Theoretically and empirically assessing the causal interrelationship and addressing the research gaps summarised from the literature will contribute to the IC research.
      Citation: Journal of Information & Knowledge Management
      PubDate: 2017-07-14T06:46:49Z
      DOI: 10.1142/S0219649217500228
       
 
 
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