Forthcoming and Online First Articles

International Journal of Knowledge Management Studies

International Journal of Knowledge Management Studies (IJKMS)

Forthcoming articles have been peer-reviewed and accepted for publication but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.

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International Journal of Knowledge Management Studies (3 papers in press)

Regular Issues

  • Towards a new cloud computing-based approach and framework supporting knowledge management process   Order a copy of this article
    by Imane Chikhi, Hafida Bouarfa 
    Abstract: Knowledge management (KM) within an organisation is defined as a set of processes and tools to make both tacit and explicit knowledge, available for decision-making, competitiveness improvement, innovation and organisational learning. Technology is one of the most important factors for KM accomplishment. Cloud computing technology has opened up new prospects and brings many advantages for KM achievement. This paper proposes a new cloud computing-based approach and framework supporting the KM process. The proposed framework is generic, adapted to any type of organisation and takes into consideration various types of knowledge. Unlike the existing cloud-based KM approaches and frameworks, it covers all the KM sub-processes. In this paper, we focus on the knowledge spotting, acquisition and formalisation processes. We provide a detailed description of the referenced KM sub-processes activities. Furthermore, we highlight the cloud services supporting the execution of KM process activities. The proposed approach is validated through a case study.
    Keywords: knowledge management; knowledge management process; knowledge management activities; cloud computing; cloud-based KM framework; knowledge spotting process; knowledge acquisition process; knowledge formalisation process; knowledge engineering.

  • Using fuzzy SWARA for evaluating the influence factors of knowledge management in tourism industry   Order a copy of this article
    by Hamed Gheibdoust, Mahdi Homayounfar 
    Abstract: This study aims to identify and prioritise the influence factors of knowledge management (KM) in the tourism industry. In this study, after identifying the influence factors of KM in the tourism industry, they were prioritised using the fuzzy step-wise weight assessment ratio analysis (fuzzy SWARA) method. Data collection was carried out in travel agencies, located in the city of Rasht (Iran) using the SWARA questionnaire from October 2022 to February 2023. The influence factors of KM in the tourism industry include eight main criteria. The findings show that the criterion of knowledge acquisition has taken the first place among the influence factors, and the criterion of knowledge evaluation has obtained the last rank. The findings of the research can introduce managers to the most significant influence criteria of KM in the tourism industry and help to create innovation and increase competitive advantages. Also, by identifying these factors, managers can provide appropriate policies for the best possible implementation of KM in this industry.
    Keywords: knowledge; knowledge management; tourism industry; fuzzy SWARA; Iran.

  • Knowledge-based organisational climate change: research on psychological and workplace results   Order a copy of this article
    by D. Jesura Pauline, E. Sheela 
    Abstract: The study focuses on the impact of climate on organisational development, encompassing a wide range of factors like regulations, constraints, and philanthropic efforts. The climate within an organisation distinguishes it from others and is pivotal in enhancing employee well-being. This research employs primary quantitative methods, utilising SPSS for analysis. It features nine main questions, supplemented by two demographic queries, with 51 participants. Analytical techniques such as frequency distribution, correlation, linear regression, and the Cronbach alpha test were applied. The results show a positive correlation between the variables, with the statistical significance of the analysis confirmed through ANOVA and the model summary, indicated by a si value of 0. The high Cronbach alpha value suggests strong internal consistency among the variables. The study reveals that the organisational environment can bolster employee reliance or diminish effectiveness. It also highlights that an organisations culture should manifest in its climate.
    Keywords: knowledge-based development; climate change; employee wellbeing; human behaviour; organisational effect; organisational development.

 

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