International Journal of Knowledge Management

Journal Information
ISSN / EISSN : 1548-0666 / 1548-0658
Published by: IGI Global (10.4018)
Total articles ≅ 350
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Latest articles in this journal

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.
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.
, 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.
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.
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.
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