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Indira Arias Rodriguez, ,
International Journal of Knowledge Management, Volume 17, pp 76-92;

This research aimed to explore the relationship between employees' perceptions of organizational politics (POPS) and their predisposition to involve in knowledge sharing (KS) behaviors at individuals and workgroups level in the Brazilian automotive Modular Consortium. The sample included 144 shop floor employees of Modular Consortium (six connected companies in assembly lines). The POPS-KS relationship was analyzed using different referents, seeking to understand how individuals and groups respond to the presence of organizational politics, and POPS and KS were tested in a Brazilian context, shedding new light on potential cultural influences impacting this relationship. The results evidenced that positive interpersonal communication can contribute to KS, and in turn, KS can counteract the negative impacts of POPS. There was a positive relationship between POPS-KS, indicating that POPS may have functional effects in facilitating KS of individuals and workgroups. Key findings and implications for future research were discussed.
Ishita Batra, Preethi P., Sanjay Dhir
International Journal of Knowledge Management, Volume 17, pp 28-51;

The aim of the study is to conduct a structured review of literature on the antecedents of organizational ambidexterity by reconciling the mixed outcomes produced by the extant literature. This study offers some theoretical insights into the divergent views of authors on these factors by analysing the empirical studies done in the literature. This paper systematically analyses the extant literature on the factors affecting organizations' ambidexterity, using meta-analysis and the theory, context, characteristics, and methodology (TCCM) framework. Forty-three research papers across various journals that discussed the correlation of the variables with organizational ambidexterity were selected. The sample size was 17,383, and 20 variables were selected for the analysis. The results revealed that two variables showed high levels of heterogeneity. The implications of this study are relevant to the present business scenario and of substantial interest to scholars, as they provide a more detailed understanding of the very foundation of organizational ambidexterity.
, Himanshu Upadhyay, Akshit Rajan Rastogi, Divya Sharma, Prankur Bishnoi, Ankit Kumar, Abhinav Tyagi
International Journal of Knowledge Management, Volume 17, pp 52-75;

In handwriting recognition, traditional systems have relied heavily on handcrafted features and a massive amount of prior data and knowledge. Deep learning techniques have been the focus of research in the field of handwriting digit recognition and have achieved breakthrough performance in the last few years for knowledge extraction and management. KM and knowledge pyramid helps the project with its relationship with big data and IoT. The layers were selected randomly by which the performance of all the cases was found different. Data layers of the knowledge pyramid are formed by the sensors and input devices, whereas knowledge layers are the result of knowledge extraction applied on data layers. The knowledge pyramid and KM helps in making the use of IoT and big data easily. In this manuscript, the knowledge management principles capture the handwritten gestures numerically and get it recognized correctly by the software. The application of AI and DNN has increased the acceptability significantly. The accuracy is better than other available software on the market.
Garima Mathur, Abhijeet Singh Chauhan
International Journal of Knowledge Management, Volume 17, pp 93-108;

The education industry is also facing challenges related to achieving high organizational performance. In the view of enhancing organizational performance, most organizations are adopting knowledge management processes to improve efficiency. One of the essential aspects of knowledge management is shared thinking and understanding of individuals and should be imbibed in the culture of the organization to improve the performance of any organization. This research will be useful to teachers and academic institutions and considers teachers' perspectives on knowledge management and how this will enhance the performance of educational institutions. In this research, organizational performance was evaluated based on three dimensions: financial performance, customer (student) perspective, and operational excellence. The results indicate that knowledge management and cultural knowledge management infrastructure and age of teachers determine organizational performance significantly.
Ngoc Anh Nguyen,
International Journal of Knowledge Management, Volume 17, pp 109-125;

Knowledge transfer effectiveness is considered one of the most important factors for ensuring the success of any enterprise, especially for multinational enterprises. However, in the case of Japan, the effectiveness of knowledge transfer between Japanese managers and foreign employees is not high. This limited effectiveness is understood as linked to the cultural distance between Japanese managers and foreign employees. The main goal of this study is to explore the impact of organizational culture on knowledge transfer in Japanese enterprises. Quantitative survey research was conducted with 365 respondents, who are Vietnamese labourers working in Japan. Analysis showed that two factors had a positive impact on the effectiveness of knowledge transfer: cultural openness and managers' communication ability. The study draws on these results to make recommend improvements in the knowledge transfer process between Japanese managers and Vietnamese employees.
Sabah Abdullah Al-Somali,
International Journal of Knowledge Management, Volume 17, pp 1-27;

This study aims to examine the knowledge-sharing intention (KSI) of information and communications technology (ICT) professionals in Saudi Arabia. A comprehensive theoretical model was constructed for this study that took into consideration individual cognition, personality traits, and social interaction. Data was collected from 240 ICT professionals and engineers from 19 companies. Data analysis and research model assessment were conducted based on structural equation modelling (SEM) in conjunction with SmartPLS software. Results indicate that social influence, attitude toward knowledge sharing, perceived reputation enhancement, and perceived reciprocal benefit have a significant impact on the variations in the knowledge-sharing behavioural intention of ICT professionals. The study results are both theoretically and empirically valuable, and organisations may find the study results useful for the creation of policies that can foster a culture of knowledge sharing.
Nora Fteimi, Olivia Hornung, Stefan Smolnik
International Journal of Knowledge Management, Volume 17, pp 1-16;

Although emotions play an important role in human behavior and knowledge studies, knowledge management (KM) research considers them from specific angles and, to date, has lacked a comprehensive understanding of the emotions dominating KM. To offer a holistic view, this study investigates the presence of emotions in KM publications by applying a sentiment analysis. The authors present a sentiment dictionary tailored to KM, apply it to KM publications to determine where and how emotions occur, and categorize them on an emotion scale. The considerable amount of positive and negative emotions expressed in KM studies prove their relevance to and dominance in KM. There is high term diversity but also a need to consolidate terms and emotion categories in KM. This study's results provide new insights into the relevance of emotions in KM research, while practitioners can use this method to detect emotion-laden language and successfully implement KM initiatives.
Vibha Mahajan, Jyoti Sharma
International Journal of Knowledge Management, Volume 17, pp 50-67;

The awareness towards organizational advantage through knowledge sharing among individuals has gained its significance globally. Numerous illustrations in the field of knowledge sharing behaviour indicate that in order to achieve the benefits of sharing knowledge within organizations, it is essential to understand the perceptions of individuals towards knowledge sharing behaviour. For this purpose, the middle management employees of the service sector in J&K region of India were surveyed to elicit the relationship between knowledge-sharing behaviour, self-learning through knowledge sharing, and self-satisfaction with respect to learning through knowledge sharing. The end results of the study indicate a positive relationship between all the variables. Recommendations in the present study have been made to enhance knowledge sharing among individuals of the service sector. This study contributes to the knowledge sharing behaviour literature from the individual perspective.
, João Graça, , Alexandra Fernandes
International Journal of Knowledge Management, Volume 17, pp 31-49;

This study examines knowledge sharing in Catholic organizations. The authors adopt Schein's organizational culture theory that facilitates, or inhibits, knowledge sharing in organizations. Thus, they address the phenomenon at the three levels: the artifacts, the norms and values, and the underlying assumptions. Considering the chosen settings, they study the contributions of individuals having taken vows, the organizational rituals, the significance, and the sense of community perceived by the organizational members. Data were gathered using a survey and were analyzed by using a fuzzy-set qualitative comparative analysis. The study provides the causal configurations of conditions that lead to tacit, explicit, and total knowledge sharing. They also offer the causal configurations of conditions that lead to the absence of each kind of knowledge sharing. Given that the qualitative results cannot be generalized, the study can still be replicated in organizations without restrictions.
International Journal of Knowledge Management, Volume 17, pp 88-99;

Three foundational principles are introduced: intelligent systems such as those that would pass the Turing test should display multi-agent or interactional intelligence; multi-agent systems should be based on conceptual structures common to all interacting agents, machine and human; and multi-agent systems should have an underlying interactional logic such as dialogue logic. In particular, a multi-agent rather than an orthodox analysis of the key concepts of knowledge and belief is discussed. The contrast that matters is the difference between the different questions and answers about the support for claims to know and claims to believe. A simple multi-agent system based on dialogue theory which provides for such a difference is set out.
Yanyan Shang, Yousra Harb
International Journal of Knowledge Management, Volume 17, pp 68-87;

Blogs are known for their information and knowledge sharing capabilities. Several theoretical frameworks have been proposed to study the factors that influence an individual's intention to use blogs for knowledge sharing. However, factors like content familiarity and design familiarity are lacking in the literature. Hence, this paper aims to extend past studies and investigate the influence of familiarity with blogs in knowledge sharing. Particularly, the purpose of this paper is twofold. The first objective is to explore the effect of familiarity in terms of content familiarity and design familiarity on individual intention to use a blog as a knowledge sharing tool. The second objective is to determine whether familiarity factors change with gender, blog experience, and cultural differences. The results show that content familiarity and design familiarity positively influence an individual's knowledge sharing behavior in blogs. In addition, content familiarity and design familiarity differ according to gender, blog experience, and cultural differences.
Jim Nelson
International Journal of Knowledge Management, Volume 17, pp 17-30;

Intuition and hunches are important tools for experts who make time-critical highly complex decisions in turbulent environments. However, hunches are also elusive and exist below the surface when not being used for immediate decision making. These latent hunches are valuable and can lead to creative solutions outside of a crisis. This paper uses a demonstration experiment to show how hunches can be “mined” using revealed causal mapping techniques. Fifty chief information officers and 88 programmer/analysts were interviewed during a very turbulent time in their organizations. The hunch mining results indicate that hunches can be found throughout experts' communications and can serve as valuable insights into strategic and tactical decision making. This research serves as the first manual step in developing natural language processing artificial intelligence tools for automated hunch mining in expert communications.
Zhimin Wang, Kwek Choon Ling, Honggui Li
International Journal of Knowledge Management, Volume 17, pp 130-154;

Few studies have been conducted on how each element of market orientation contributes to service innovation through different types of knowledge sharing. Drawing on the dynamic capability perceptive and synergy approach, this study examines the effects of knowledge donation and knowledge collection on service innovation and the effects of customer orientation, competitor orientation, and inter-functional cooperation on service innovation through knowledge donation and knowledge collection. This study collected a total of 258 valid questionnaires randomly from different Malaysian motorcycles companies. The empirical (PLS-SEM) findings indicate that customer orientation, competitor orientation, and inter-functional coordination are positively related to service innovation. The findings show that knowledge donation and knowledge collection are significantly related to service innovation. Interestingly, the effects of customer orientation, competitor orientation, and inter-functional coordination on service innovation are fully mediated by knowledge donation and knowledge collection, respectively.
Haitham Mohsin Kareem, Khairul Azman Aziz, Ruhanita Maelah, Yusasniza Mohd Yunus, Awatif Alsheikh, Warda Alsheikh
International Journal of Knowledge Management, Volume 17, pp 72-103;

The aim of this study is to examine Iraqi small and medium enterprises (SMEs) in terms of the relationship between the use of accounting information systems (AIS), knowledge management capabilities (KMC), and organizational performance (OP) mediated by innovation. A total of 312 questionnaires were used for analysis. Partial least squares version 3 was used to analyse the relationships. The results showed that the use of AIS and KMC have a positive significant influence on innovation, while all three constructs have a positive significant influence on the OP of SMEs. Moreover, all the dimensions of the use of AIS (e.g., decision-making, controlling process, operational efficiency, planning process, and financial reporting), and all the dimensions of KMC (e.g., knowledge acquisition, knowledge sharing, and knowledge utilization) were found to have a positive influence on OP. It was also found that innovation partially mediates the relationship between the use of AIS and OP, as well as the relationship between KMC and OP. The results could help SMEs to obtain a competitive advantage.
Jorge Muniz Jr., Vagner Batista Ribeiro, Ninad Pradhan
International Journal of Knowledge Management, Volume 17, pp 1-22;

This paper proposes knowledge-based assessment applied to Brazilian Toyota plants which practice Lean manufacturing to evaluate work, production, and knowledge factors based on the perspective of blue-collar workers and managers. The two researched plants were selected based on being pure Toyota DNA representatives, and belong to two Toyota auto parts makers (‘polar' cases), in which TPS is “transparently observable.” The results evidence that employees judge factors related to people as important and considered the relationship between knowledge and Lean in the plants are aligned. The data indicates that the Brazilian culture does not influence changes in the Toyota work context and DNA. The contribution of this study is to provide an assessment instrument that integrates the production, knowledge, and work context for a Lean system, understanding blue-collar manufacturing employees and front-line supervisors are therefore essential to the success of a Lean implementation. Finally, the paper offers a guideline to assess and develop a favorable context to encourage knowledge sharing.
Ayesha Naeem, Rab Nawaz Lodhi, Aman Ullah
International Journal of Knowledge Management, Volume 17, pp 50-71;

This study aims to investigate the mediating effects of both affect-based and cognition-based trust on the relationship between using a transformational leadership style and the effectiveness of followers' knowledge sharing processes (i.e., knowledge donating and knowledge collecting). Using data collected from 287 employees at 32 pharmaceutical companies in Pakistan, the structural equation modelling (SEM) technique was utilised to analyse the hypothesised relationships. The results showed that leaders with a transformational leadership style directly affect their followers' knowledge donating and knowledge collecting processes. In addition, affect-based trust was found to fully mediate the relationships between transformational leadership and followers' knowledge donating and knowledge collecting processes, while cognition-based trust produced insignificant mediation effects. From a social exchange perspective, these findings demonstrate the importance of focusing on building affect-based trust between leaders and followers in order to develop transformational leadership that could positively influence the knowledge sharing process.
Junaid Rehman, Igor Hawryszkiewycz, Osama Sohaib, Fatuma Namisango
International Journal of Knowledge Management, Volume 17, pp 104-129;

The contribution of professional service firms (PSFs) has always been phenomenal in the knowledge economies. Given the ever-increasing focus on achieving knowledge-based trans-formations, the effectiveness of these firms is highly attributed to the knowledge capabilities embedded in their staff and how efficiently they are utilized in firm's optimal benefit. In view of growing services sector, it is vital for these firms to implement high performance work practices (HPWPs) so as to maintain high-quality services and meet competing client needs. However, the systematic implementation of these practices in the intellectual capital (IC) context is not fully developed. Hence, this research suggests a linkage mechanism on how HPWPs support IC development in the professional service firms. By operationalizing these practices as ability-, motivation-, and opportunity-enhancing bundles, the results indicate a positive effect on intellectual capital and the findings offer practical insights to the managers in service firms on building their knowledge capital and deriving competitive advantage.
Siwei Sun, Fangyu Zhang, Victor Chang
International Journal of Knowledge Management, Volume 17, pp 23-49;

As an essential group in knowledge innovation, researchers are encouraged to exchange ideas with each other for further brainstorm through advanced communication technology. However, efficient online knowledge sharing among researchers is still limited. Although past literature proposes a series of motivators of online knowledge sharing, the differences in the effects of motivators remain in dispute. Thus, it is time to understand how motivators influence each other and inspire scientists to share knowledge and promote virtual communities. Based on the self-determination theory, this study proposes a model with several factors and analyze 301 Chinese researchers' data in an online WeChat cross-disciplinary research community by adopting SmartPls 2.0 and SPSS 22. The results reveal the effects of several antecedents and mediating effects of altruism and knowledge sharing behavior and report the differences of results among different demographic groups. This study enriches the literature in knowledge sharing on social media and proposes further research points to researchers and useful advice to practitioners.
Mercy Veronica Chaita, Welcome Sibanda
International Journal of Knowledge Management, Volume 17, pp 93-112;

This study examines the knowledge of entrepreneurs on the complex concept of innovation before assessing how they apply this knowledge to increase the propensity to develop new products and services. Within this context, considerable emphasis explores the assertions that knowledge management can enhance the adoption of new technology through collaborative networks. The aim of the study is to build a body of work in the area of innovation and entrepreneurship that spans the divide between theory and practice by empirically harnessing the perspectives of the case study companies on their innovation behavior. The design of this study adopts the characteristics of a case study research which was applied extensively to provide qualitative data. To be included in the study, firms had to be in existence for at least a year, and firms of the same age were avoided. The findings revealed that the concept of innovation is heterogeneous and elusive. Therefore, the study concluded that innovation is a global concept that requires knowledge acquisition through collaborative networks.
Samir Marwan Hammami, Faisal Ahmed, , Mohammed Ali Bait Ali Sulaiman
International Journal of Knowledge Management, Volume 17, pp 15-32;

The authors examine various aspects of the organizational knowledge capabilities and assess their impact on the organizational performance of private firms in Oman. Ten hypotheses are developed, linking the dimensions of organizational knowledge capabilities (OKC) (technological, cultural, managerial, and collaborative) with the aspects of performance. The path analysis technique is used to test the hypotheses; only four hypotheses depicted the effect of OKC on performance. They find that managerial capabilities play a significant role but have an indirect positive effect on enhancing performance. They have a higher impact only when they are inter-linked with collaborative capabilities, which have a direct and significant effect on performance. This paper deciphers the various knowledge capabilities and establishes inter-linkages among them in the firm context. The results enable the development of a productive knowledge management ecosystem in the business environment and spotlight on the wise investment of IT in achieving business goals.
Lijun Liu, Zuhua Jiang
International Journal of Knowledge Management, Volume 17, pp 52-71;

Complex problem solving is recognized as an important resource of empirical knowledge accumulation. Learners can acquire and consolidate their empirical knowledge based on practical experience in the complex problem solving. Although many studies on complex problem solving have documented the effects of problem solving on knowledge accumulation, few have addressed the detailed process of empirical knowledge accumulation in the complex problem solving. The purpose of this study is to explore the process of novices' empirical knowledge accumulation in solving complex problem. A multi-stage experiment based on a real-world engineering problem is presented in the study. By means of analysis of the difference between novice and experts, a novel concept of “inflection point” and a novel “four period novices' empirical knowledge accumulation curve” are presented, which can be used to explain the novices' empirical knowledge accumulation process in solving complex problem.
Vardan Mkrttchian
International Journal of Knowledge Management, Volume 17, pp 72-92;

This article is an enhancement of the chapter “About Digital Avatars for Control in Virtual Industries” in the book Big Data and Knowledge Sharing in Virtual Organizations. The article discusses the capabilities of the R language for modeling Levy processes that currently most closely correspond to the nature of the organizational learning movements in sliding mode. The efficient algorithm of the CGMY process simulation as a difference of the tempered stable independent Levy is processed and programmed at R language. The efficient algorithm of variance gamma process simulation using variance gamma random variables is processed and programmed at R language. Overview of CGMY process simulation in practice is use for human capital management in the context of the implementation of digital intelligent decision support systems and knowledge management and for digital intelligent design of avatar-based control with application to human capital management.
Amine Nehari-Talet, Louay Karadsheh, Samer Alhawari, Hana Hunaiti
International Journal of Knowledge Management, Volume 17, pp 33-51;

Knowledge-based risk processes are suitable key elements within organizations since they can minimize the possibility and impact of an information technology (IT) project. The aim of this paper is to explain how the alignment between knowledge-based risk processes to validate risk analysis. A questionnaire was developed and distributed to a sample of 135 respondents who were actively engaged in IT. The proposed research model explained that 50 to 62% from of the variance in knowledge-based risk processes to risk analysis. The results showed that the two selected factors (identification and sharing) have a partially mediate and significant impact on risk analysis by knowledge-based risk repository. On the other hand, the examination is not mediated and not a significant impact on risk analysis. The findings of this study imply the understanding of knowledge-based risk processes to risk analysis This study will contribute to the field by examining the effects knowledge-based risk on risk analysis for IT projects.
, José Santos, Álvaro Dias, Renato Costa
International Journal of Knowledge Management, Volume 17, pp 1-14;

Knowledge transfer in project-based organizations has been recognized as a productivity and economic growth promoter that is currently not properly managed. Therefore, it is critical to investigate the importance of knowledge regarding its acquisition, use, and transfer across all departments of an organization. The main objective of this work was to evaluate how modern organizations from different business sectors manage and share their knowledge by following the knowledge management and transfer life cycles when developing their projects. Organizational surveys were performed to project managers working in project management within in multiple Portuguese industries (or with representation in Portugal) from multiple business sectors and holding different hierarchical positions. The present study revealed that most companies can identify, capture, and retain the relevant knowledge, and apply it to the development of other projects. Thus, the importance of implementing the knowledge management transfer to other projects is crucial for successful project implementation and management.
Chandra Sekhar Patro
International Journal of Knowledge Management, Volume 16, pp 26-41;

Organizations that focus on the development of employees' competence and shed light on the future are those with learning capacity and enthusiasm. Learning organizations encourage self-organization and are an indispensable part of the innovative process, which is also an integral part of creating an environment that facilitates evolutionary sustainability. It is essential for the employees to be open to innovation and learning in order to increase service quality and bring the implication of being a learning organization to the foreground. The study focuses on appraising the employees in building their capabilities and enhancing leadership skills towards the development of learning organization. The results reveal that the factors, communication, motivation, achievement, and adaptability, show significant relation with the employees' capabilities and leadership skills, and also on the overall performance of managers towards the achievement of organizational goals. The findings of the study will facilitate the management to build strategies in enhancing employees' competence.
George Maramba,
International Journal of Knowledge Management, Volume 16, pp 81-108;

The preservation of knowledge is a universal requirement for every organisation that strives to gain a competitive advantage. Knowledge management systems are a modern business enabler and driver of success. Furthermore, the implementation of knowledge management systems is a comprehensive process which integrates people, business processes, the business universe, technology, and customers. However, some evidence suggests that organisations are investing a multiplicity of resources in implementing knowledge management systems with little success. Therefore, the aim of this study is to identify and understand the types of frameworks available for implementing knowledge management systems and present a comprehensive implementation framework including the relevant critical success factors and measurement tools that organisations may use for implementing knowledge management system projects. The successful implementation of knowledge management systems lie in the adoption of a suitable strategy and well-defined framework.
Kamla Ali Al-Busaidi
International Journal of Knowledge Management, Volume 16, pp 63-80;

Customer knowledge (CK) can empower organizations and improve their operational, innovative, and competitive performance. CK has been classified into three categories: knowledge for customers, knowledge about customers, and knowledge from customers. The literature has highlighted the importance of assessing the value of external CK in enabling organizations to obtain the support of top management. Very limited empirical studies have examined the specific impact of acquiring each type of CK. Consequently, the objective of this study is to empirically assess the impact of acquiring each type of CK. Based on an analysis of 41 organizations in Oman, this study detected that the overall acquisition of each type of customer knowledge has significant positive links with business process benefits, product benefits, customer benefits, and financial benefits, but a low significant positive link with employee benefits, and no significant link with market benefits. This study developed an integrated framework and measures to assess the value of acquiring different types of customer knowledge.
Aakanksha Kataria, , Nitesh Pandey
International Journal of Knowledge Management, Volume 16, pp 1-25;

The International Journal of Knowledge Management (IJKM) has been providing a platform for research in knowledge management since 2005. This study assesses its 15-year milestone and lends insight into the major trends in the establishment and development of the journal. The primary objective of this paper is to present an overview of the intellectual structure of the IJKM using bibliometric analysis. The paper focuses on the leading trends of the journal over the years and traces the subsequent developments. Using the Scopus database, the bibliographic data of the journal was extracted in order to highlight the major influences in its growth history and the central themes of the journal employing different bibliometric tools. Analysis of the content and context of the journal illustrates the inclusive nature of knowledge management research in the journal. The IJKM provides an important context for interdisciplinary and international research and draws attention from a wide section of the academic community for the research it showcases.
, David Baldacchino, Vincent Cassar
International Journal of Knowledge Management, Volume 16, pp 109-124;

This study investigates the relationship between knowledge management (KM) enablers (aspects of organizational structure, learning, strategy, transformational leadership, and information technology) and organizational effectiveness. It also examines the mediating role of KM processes (knowledge creation, knowledge organization, knowledge application, and knowledge protection). Using a web-based questionnaire and the responses from 201 organizations in the Maltese Pharmaceutical Sector, structural equation modelling revealed that various KM enablers produced direct effects on KM processes, and in turn, two KM processes produced direct effects on organizational effectiveness and also mediated the relationship between some KM enablers and organizational effectiveness. This study contributes towards a better understanding of specific aspects of the KM phenomenon and provides several implications that could better assist the management of knowledge to enhance organizational effectiveness.
Jong-Chol Jin, Song-Nam Hong, Guang-Son Li, Nam-Ung Kim
International Journal of Knowledge Management, Volume 16, pp 42-62;

This paper aims to propose main facets and indices that characterize knowledge management (KM), job satisfaction (JS), and intellectual level of work (ILW), and introduce a method of determining degrees of their impacts based on explaining their relation theoretically. A method of examining the impacts of KM on JS of four classes of employees (general employee, expert, middle-manager, top-manager) is proposed. Then a method of evaluating ILW resulting from JS is considered. First, the main facets and indices that characterize KM, JS, and ILW in organizations are proposed, and then their relation is theoretically explained. Second, the relation between five facets of KM and six indices of JS is determined by first regression and a method of determining relation between five facets of KM and four indices of ILW is proposed using advanced pair-comparison method.
International Journal of Knowledge Management, Volume 16, pp 33-51;

The purpose of this study is to conduct a bibliometric analysis to examine the most influential journals, institutions, and countries in social media (SM) publications related to knowledge management (KM). Moreover, various research themes in SM KM publications are also explored. VOSviewer was employed to process 234 SM KM publications retrieved from Web of Science (WoS) in the time period 2009-2019. Different methodologies were used according to the nature of bibliometric analysis and explained in each section. Journal of Knowledge Management was the most influential journal in SM KM publications. USA and England ranked first and second respectively, while the Tampere University of Technology was the most productive institute in SM KM research. Four emerged themes indicated an explicit contribution of SM users in KM through big data, knowledge sharing, innovation, Enterprise 2.0, and social capital. This is the first bibliometric study that explores the overall contribution of SM publications in the KM field.
, Hemant Kumar Diwakar, Suraj Kumar Mukti
International Journal of Knowledge Management, Volume 16, pp 89-111;

Many researchers have identified that implementation of knowledge management (KM) improves the success rate of enterprise resource planning (ERP) in different sectors, but the support of KM in post-ERP implementation in the service sector is yet to be analyzed. The aim of the study is to confirm the support of KM and to identify the post-implementation effect of ERP on employees and service quality. For the fulfillment of this research, data were gathered from the service sector's employees and consumers. The research has been processed in three stages: The first stage includes the variables identification from the previously published literature and reduced to smaller groups with the help of IBM SPSS software. Second stage explores the preparation of conceptual model. The third stage involves the identification and substantiation of KM support with post-ERP implementation, which has been accomplished through a short brainstorming session with employees and senior manager of power distribution company. This research concludes that there is positive support of KM in post-ERP implementation.
Phocharapol Srisamran, Vichita Vathanophas Ractham
International Journal of Knowledge Management, Volume 16, pp 1-16;

This study aims to investigate the influence of knowledge adoption (intention to adopt knowledge) and cognitive learning in the knowledge transfer process. The moderating impact of cognitive learning strategy is also explored. Building on cognitive learning theories, a model was developed to examine the knowledge recipient's intention to adopt knowledge and his/her cognitive learning. As this study follows quantitative approach, the model was tested empirically using a survey of 615 white-collar workers in Thailand. The results show that higher knowledge recipient's intention to adopt knowledge can enhance his/her cognitive learning. The results also show that utilizing cognitive learning strategy may only be suitable for some groups of knowledge recipients. Based on the study's findings, management teams can understand the importance of employees' intention to adopt knowledge in their learning of the transferred knowledge. Moreover, management teams can understand how to utilize the cognitive learning strategy for employees with different intentions to adopt knowledge.
Zeeshan Akbar, Jun Liu, Zahida Latif
International Journal of Knowledge Management, Volume 16, pp 70-88;

A large amount of data is generated every day from different sources. Knowledge extraction is the discovery of some useful and potential information from data that can help to make better decisions. Today's business process requires a technique that is intelligent and has the capability to discover useful patterns in data called data mining. This research is about using silhouettes created from K-means clustering to extract knowledge. This paper implements K-means clustering technique in order to group customers into K clusters according to deals purchased in two different scenarios using evolutionary algorithm for optimization and compare silhouettes for different K values to analyze the improvement in extracted knowledge.
, Rizal Ahmad, Farah Waheeda Jalaludin, Nurul Afza Hashim
International Journal of Knowledge Management, Volume 16, pp 52-69;

Ambidexterity or the ability by individuals or firms to simultaneously and synergistically pursue both exploitation and exploration activities has been found to have positive effects on firm performance. However, the ambidexterity literature has been predominated by the studies at the organizational level, and little is known about the antecedents and consequences of ambidexterity at the individual level. This study examines environmental dynamism and social network as the antecedents of managerial ambidexterity, and knowledge brokerage and firm performance as the consequences. This study tests the mediating role of knowledge brokerage on the relationship between managerial ambidexterity and firm performance. Data are collected from 308 senior executives working in technology manufacturing firms in Malaysia using a questionnaire survey. The findings reveal that environmental dynamism and social networks are significantly and positively related to managerial ambidexterity, and knowledge brokerage mediates the relationship between managerial ambidexterity and firm performance.
Himyar Al-Jabri, Kamla Ali Al-Busaidi
International Journal of Knowledge Management, Volume 16, pp 17-32;

Small and medium enterprises (SMEs) are today considered a driving force in several nations' economies. Inter-organizational knowledge transfer (IOKT) enables organizations including SMEs to improve operational and strategic performance. To enhance SMEs' competitive advantages, they need external knowledge to enrich learning capabilities. This study uses qualitative methodology to examine the values that can be generated from the IOKT process in SMEs. Participants were 10 Omani SMEs from the ICT sector, a knowledge-intensive sector. Based on face-to-face, semi-structured interviews, the results confirmed that inter-organizational knowledge transfer is considered important to SMEs. Results indicated that learning benefits are gained from informal IOKT activities at those SMEs, but they do not yet show a strong impact on the innovation performance of organizations. Thus, this study provides valuable insights for researchers and practitioners interested in the SME domain to use as a basis for their investigations.
Hua Xu, Shuqiang Cheng, Lijun Liu
International Journal of Knowledge Management, Volume 16, pp 67-83;

This paper describes how to accumulate knowledge during solving complex engineering problems for novice engineers. The purpose of this study is to find important factors that have significant influence on knowledge accumulation (KA) behavior of novice engineers in solving complex problems. This study uses data from a sample of 185 novice engineers in Chinese manufacturing firms and employs structural equation modelling approach to test the proposed hypotheses. The findings of this study indicate that knowledge accumulation rely more on the features of problem solver and context factors. Contrary to expectation, complex problem characteristics do not make a significant and direct contribution to motivate knowledge accumulation. These variables collectively would help to explain the novice engineers' knowledge accumulation in solving complex engineering problems. Implications, limitations, and future scope of the study have also been discussed.
International Journal of Knowledge Management, Volume 16, pp 30-51;

This article is based on the intellectual capital (IC) literature and identifies factors that can influence the total number of citations from articles related to this subject. Seven hundred seventy-seven empirical articles about IC published between 1960 and 2016 from ISI Web of Science, Scopus, and Google Scholar were validated and used. Through logistic regression, the results reveal that: number of authors (p < 0.05); use of the triad of human, structural (organizational or process), and relational (social or customer) capital (p < 0.05); and the ISI impact factor (p < 0.001) are the factors with greatest influence on the total number of ISI citations from scientific articles on IC. The content analysis also provides insightful implications in the sense that articles with more citations use established conceptualizations of both human and social (or relational) capital, as well as addressing the still unexplored relationships between intellectual capital and organizations' economic or innovative performance.
Hanna Dreyer, Gerald Robin Bown,
International Journal of Knowledge Management, Volume 16, pp 1-17;

Specialised knowledge is a key component of success in an organisational context that resides in the expertise of the organisation's personnel. To explore this situation, an ethnographic case study was chosen in which data was collected from a software development project. Extempore verbal exchanges occur through the interplay of project team members in weekly meetings, as the software was tested, analyzed, and altered in accordance with the customer's needs. Utilizing tacit knowledge from the project members as well as the group, new tacit knowledge surfaces and spirals, which allows it to build over time. Five extempore triggers surfaced during the research generated through explicit stimuli, allowing project members to share and create new knowledge. Through the use of ideas developed by Husserl and Heidegger, this study has cast some light on verbal exchanges that, through their interjection, allow significant learning to take place. The theoretical development places these learning triggers in an interpretive framework, which can add value to other software development projects.
, Ali Hadian Nasab,
International Journal of Knowledge Management, Volume 16, pp 52-66;

This study examined the mediating role of social capital on the relationship between organizational culture and knowledge management. Data were obtained from bank employees in Iran. After a screening process, the data from a sample of 127 employees was used to test the mediation model using structural equation modeling (SEM). The results indicated that organizational culture had a significant positive effect on knowledge management and social capital. Furthermore, social capital had a significant positive effect on knowledge management confirming the mediating role of social capital. The current research contributes to the knowledge management literature by exploring a plausible explanation for the strong relationships between organizational culture and knowledge management. This study encourages practitioners to develop social capital and mutual trust among employees to promote effective knowledge management practices.
Atif Saleem Butt, , , Muhammad Ali
International Journal of Knowledge Management, Volume 16, pp 18-29;

Knowledge management has been the subject of much research in buyer-supplier relationship literature. Many of these studies outline the benefits attributed to buying and supplying firms as a result of knowledge sharing between its managers. However, it is important to note managers across firms can also deliberately hide knowledge from each other during their business interaction. This study fills this important gap. The analysis of this study is based on a pilot study comprising six semi-structured interviews with the managers of buying and supplying firms. The findings suggest that managers of buying and supplying firms experience five different types of antecedents during their business interaction. This paper provides theoretical contribution to supply chain knowledge management literature by proposing five antecedents of knowledge hiding in a buyer-supplier relationship. The findings of this study also have practical implications. Specifically, firms can use initial findings from this study to understand what compels their management to engage in knowledge hiding.
Mriganka Mohan Chanda, Neelotpaul Banerjee, Gautam Bandyopadhyay
International Journal of Knowledge Management, Volume 16, pp 84-101;

Agriculture is an important sector of the Indian economy. In the present paper an attempt has been made to theoretically explore the development of an agricultural knowledge management system (KMS) in respect of various micro irrigation techniques for agriculture, as well as relevant crop-/region-specific agricultural practices in different regions of the country, as the same has been observed to be very much necessary for the overall benefits of wider cross section of farmers, agricultural scientists, economists, and other stakeholders in the domain. It is further observed that artificial neural networks (ANNs), which are a part of soft computing techniques, can be used as a KMS tool for effective management of various sub sectors of agriculture. In this context, it has been shown that use of ANNs as a KMS tool can improve the effectiveness of applications of the above mentioned agricultural KMS by accurately forecasting the year-wise estimated yield of food grains of India with the help of past data of various relevant parameters.
, Diane B. Walz, Alexander McLeod
International Journal of Knowledge Management, Volume 16, pp 1-20;

The existent literature lacks papers that explored the proposed model, which examines how process, relationship, and task conflict impacts knowledge sharing and the subsequently perceived team performance in the information technology (IT) development process. The proposed research model adds knowledge sharing to prior studies that explored how the types of conflict impacted team performance. The hypotheses were tested using a field survey, which was distributed to IT project team members. While team members who experience task conflicts tend to share more knowledge and perform better, members who experience more process or relationship conflicts are less likely to share knowledge, and the team performance is also impacted. The results offer insights to explain how the different types of conflict can affect knowledge sharing and subsequently group processes within IT project teams and, ultimately, improve or degrade performance.
, Mohd Yasir Arafat, Mohd Anas Raushan, Imran Saleem
International Journal of Knowledge Management, Volume 16, pp 123-140;

Intellectual capital is considered as knowledge which can transform into value. Recently, it has gained currency in the field of innovation and entrepreneurship. Only a handful of studies have been conducted to examine the role of intellectual capital in explaining the venture creation process. The main aim of this study is to examine the influence of intellectual capital on start-up. A large data set of Adult Population Survey (APS) provided by the Global Entrepreneurship Monitor (GEM) used. The logistic regression technique was used to analyze the effect of intellectual capital on entrepreneurial intention. The finding suggests that policymakers should frame policy and programs focused on developing human capital, structural capital and encourage interaction between existing and potential entrepreneurs so that entrepreneurship can be boosted. This study is also among the few studies measuring the relationship between intellectual capital and entrepreneurial intention. A systematic literature survey shows that only small numbers of researches, based on large data set, have been conducted in developing countries like India.
International Journal of Knowledge Management, Volume 16, pp 43-82;

Over of the past several years, there have been rigorous discussions about the significance of knowledge management (KM) within the organization and the society. The management of knowledge is endorsed as a significant and essential factor for organizational existence and maintenance of ambitious strength. This article provides an in-depth knowledge of factors affecting KM. Literatures from 1992 to 2018 are covered in this article, 169 research papers have been explored which are related to classification of knowledge, factors affecting KM, KM tools and its planning & application. Various frameworks related to the successful implementation of KM and KM implementation tools proposed by previous authors are presented in this research article. KM is defined, classification of KM is presented, factors affecting KM are shown and its implementation strategies & tools are elucidated in available literatures in discrete manner.
Deepak Sahoo, Rakesh Chandra Balabantaray
International Journal of Knowledge Management, Volume 16, pp 83-100;

The task of retrieving the theme of a document and presenting a shorter form compared to the original text to the user is a challenging assignment. In this article, a hybrid approach to extract knowledge from a text document is presented, in which three key sentence level relationships in association with the Markov clustering algorithm is used to cluster sentences in the document. After clustering, sentences are ranked in each cluster and the highest ranked sentences in each cluster are merged. In the end, to get the final theme of the document, the Gradient boosting technique XGboost is used to compress the newly generated sentence. The DUC-2002 data set is used to evaluate the proposed system and it has been observed that the performance of the proposed system is better than other existing systems.
International Journal of Knowledge Management, Volume 16, pp 21-42;

Searching and evaluating information are two core information processes of an individual's information behavior. Thus, this research aims to examine search performance to complete tasks regarding experiences, knowledge, and intention in both views. Based on literature studies, this study considered experiences as drivers of knowledge; experiences and knowledge as determinants of intention; and intentions as predictors of search performance. The proposed model was empirically tested using structural equation modeling. The results supported all relationships except the influence of experiences on intention. This work contributes to a theoretical model of antecedents driving search performance for task fulfillment. The findings help educational institutions/ enterprises to enhance students/ workers' search performance. Suggestions to improve the decision guidance of a KMS are also described.
James Meneghello, , , Kok Wai Wong,
International Journal of Knowledge Management, Volume 16, pp 101-122;

The pervasiveness of social media and user-generated content has triggered an exponential increase in global data. However, due to collection and extraction challenges, data in embedded comments, reviews and testimonials are largely inaccessible to a knowledge management system. This article describes a KM framework for the end-to-end knowledge management and value extraction from such content. This framework embodies solutions to unlock the potential of UGC as a rich, real-time data source. Three contributions are described in this article. First, a method for automatically navigating webpages to expose UGC for collection is presented. This is evaluated using browser emulation integrated with automated collection. Second, a method for collecting data without any a priori knowledge of the sites is introduced. Finally, a new testbed is developed to reflect the current state of internet sites and shared publicly to encourage future research. The discussion benchmarks the new algorithm alongside existing techniques, providing evidence of the increased amount of UGC data extracted.
Irena Atanasova
International Journal of Knowledge Management, Volume 15, pp 38-55;

To compete in today's web-based society, virtually every university offers an option for distance e-learning. Universities have developed and maintain up-to-date electronic resources and materials. It is important that these resources are examined and tested from the point of view of the end-users, and to be in accordance with the relevant regulatory requirements and documents. The realization of a well-functioning university knowledge management system includes various software tools for assisting the decision-making process for the four main activities of the universities. In this article, a generic teaching knowledge management module structure, including the full-time and part-time type of learning, and the distance type of e-learning, is proposed. The main goal of the article is the presentation of an expert system concerning learning resources as a part of the university knowledge management system that can be used as a decision support tool for the achievement of competitiveness and sustainable development in some processes related to distance е-learning at the university.
Sladjana Cabrilo, Rosanna Leung
International Journal of Knowledge Management, Volume 15, pp 94-113;

The purpose of this study is to explore whether the leadership change consequently imposes further changes in knowledge management (KM) practices, as well as to reveal which KM practices are affected by this strategic change. Namely, a theorized ten-fold conceptualization of KM practices has been tested on a sample of 101 Serbian companies employing more than 100 employees each. The main findings demonstrate that leadership changes affect some elements of KM leadership, HRM practices in recruitment, training and development, and compensation. Furthermore, findings depict that leadership changes have a profound influence on knowledge-friendly organizational culture and knowledge sharing between mid-level management and employees. Finally, the results show that the leadership change in Serbian companies affects sales growth rate. The companies that experienced this change had negative sales growth rate contrary to the companies without this strategic change.
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