Prioritize the Dimensions of Knowledge Quality in Data Driven Organizations (Case Study: Iranian Research Institute for Information Science and Technology)

Almasian, Fatemeh, Ershadi, Mohammad Javad and Nabatchian, Mohammad Reza Prioritize the Dimensions of Knowledge Quality in Data Driven Organizations (Case Study: Iranian Research Institute for Information Science and Technology). Academic Librarianship and Information Research, 2023, vol. 56, n. 4, pp. 89-104. [Journal article (Paginated)]

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English abstract

Objective: Knowledge is one of the most important competitive and value creating advantages of organizations, and for effective use of knowledge, attention should be paid to its quality. Data driven organizations rely on their data assets. Quality and reliable data in organizations leads to better decision making, and the knowledge quality in data driven organizations leads to growth and increase in profitability and innovation. The present research was conducted in order to investigate and prioritize the dimensions of knowledge quality in data driven organizations. Methods: The statistical population of this research is made up of 10 experts in this field in the Research Iranian Research Institute for Information Science and Technology (IranDoc). In order to collect data, while reviewing the literature on the subject, interviews with experts of Iranian Research Institute for Information Science and Technology and questionnaires were used. For data analysis, the fuzzy DEMATEL method was used to determine the relationships between indicators and the ANP method was used for weighting and prioritizing criteria. Results: The results of data analysis through questionnaires and solutions using EXCEL software show that among the main criteria, the representational knowledge quality is the highest quality priorities. Also, among the sub-criteria, the degree of Expandability with a weight of (0.15089) was the first priority, Understandability with a weight of (0.14039) was the second priority, and Interpretability was the third priority with a weight of (0.13687). Conclusions: It is observed that the sub-criterion of expandability and use of knowledge content in the future through knowledge sharing and integration has a much greater impact on the perceived quality of knowledge in data-oriented organizations than other sub-criteria.

Item type: Journal article (Paginated)
Keywords: Data Driven Methods, Information Quality, Data Quality, Knowledge Quality
Subjects: F. Management. > FJ. Knowledge management
Depositing user: Maliheh Dorkhosh
Date deposited: 11 Jan 2024 18:35
Last modified: 11 Jan 2024 18:35
URI: http://hdl.handle.net/10760/45285

References

Akbarpour, M., Tizrou, A. (2022). Future research of the strategy of knowledge-based companies with a scenario approach. Organizational Knowledge Management Quarterly, 5(3), 69-110. [in Persian]

Asgari, N. & Jahani, B. (2016). The mediating role of social capital in the effect of social media on the quality of organizational knowledge and innovative performance. Journal of Information Technology Management, 29(8), 751-770 [in Persian]

Ban, T., Wang, X., Chen, L., Wu, X., Chen, Q., & Chen, H. (2022). Quality Evaluation of Triples in Knowledge Graph by Incorporating Internal with External Consistency. IEEE Transactions on Neural Networks and Learning Systems.

Bharati, P., Zhang, W., & Chaudhury, A. (2015). Better knowledge with social media? Exploring the roles of social capital and organizational knowledge management. Journal of Knowledge Management, 19(3), 456-475. https://doi.org/10.1108/JKM-11-2014-0467

Boateng, H., Visnupriyan, R., Ofori, K., & Hinson, R. (2020). Examining the link between social capital, knowledge quality, SMEs innovativeness and performance. Business Information Review, 37(4), 167-175. https://doi.org/10.1177/0266382120970157

Chakrabarti, D., Arora, M., & Sharma, P. (2018). Evaluating Knowledge Quality in Knowledge Management Systems. Journal of Statistics Applications & Probability, 7(1), 75-83. http://dx.doi.org/10.18576/jsap/070107

Corral de Zubielqui, G., Lindsay, N., Lindsay, W., & Jones, J. (2018). Knowledge quality, innovation and firm performance: a study of knowledge transfer in SMEs. Small Business Economics, 53(1), 145-164. https://doi.org/10.1007/s11187-018-0046-0

Ganguly, A., Talukdar, A., & Chatterjee, D. (2019). Social capital, knowledge quality, knowledge sharing, and innovation capability: An empirical study of the Indian pharmaceutical sector. Knowl Process Manag, 1-18. https://doi.org/10.1002/kpm.1614

Karlinsky-Shichor, Y., & Zviran, M. (2016). Factors Influencing Perceived Benefits and User Satisfaction in Knowledge Management Systems. Information Systems Management, 33(1), 55-73. http://dx.doi.org/10.1080/10580530.2016.1117873

Mancilla-Amaya, L., Sanin, C., & Szczerbicki, E. (2012). Quality Assessment of Experiential Knowledge. Cybernetics and Systems, 43(2), 96-113. https://doi.org/10.1080/01969722.2012.654071

Moradzadeh, A., Zarei, K.h, & Heydarian, H. (2019). The effect of social capital on promoting organizational resilience: explaining the mediating role of knowledge sharing related to the Covid-19 crisis. Organizational Knowledge Management Quarterly, 3(3), 112-87. [in Persian]

Moser, C., & Deichmann, D. (2020). Knowledge sharing in two cultures: the moderating effect of national culture on perceived knowledge quality in online communities. European Journal of Information Systems, 30(6), 623-641. https://doi.org/10.1080/0960085X.2020.1817802

Shafiei, S., Khademi, R., & Hariri, E. (2021). Customer knowledge management and its effect on service quality and customer satisfaction - a cross-sectional study in Bank Mellat, Kermanshah province. Organizational Knowledge Management Quarterly, 4(2), 187-219. [in Persian]

Valaei, N., & Rezaei, S. (2016). Dose Web 2.0 utilisation lead to knowledge quality, improvisational creativity, compositional creativity, and innovation in small and medium-sized enterprises? A sense-making perspective. Technology Analysis & Strategic Management, 29(4), 381-394. https://doi.org/10.1080/09537325.2016.1213806

Vijai, J. (2018). Examining the relationship between system quality, knowledge quality and user satisfaction in the success of knowledge management system: an empirical study. International Journal of Knowledge Management Studies, 9(3), 203-221.

Waheed, M., & Kaur, K. (2014). Knowledge quality: A review and a revised conceptual model. Information Development, 32(3), 271-284. https://doi.org/10.1177/0266666914539694

Waheed, M., & Kaur, K. (2017). Students perceptual quality standards for judging knowledge quality: Development and validation of a perceived e-learning knowledge quality scale. Information Development, 35(2), 319-332. https://doi.org/10.1177/0266666917744370

Yoo, D. (2014). Substructures of perceived knowledge quality and interactions with knowledge sharing and innovativeness: a sensemaking perspective. Journal of Knowledge Management, 18(3), 523-537. http://dx.doi.org/10.1108/JKM-09-2013-0362

Zahringer, K., Kolympiris, C., & Kalaitzandonakes, N. (2017). Academic knowledge quality differentials and the quality of firm innovation. Industrial and Corporate Change, 26(5), 821-844. http://dx.doi.org/10.1093/icc/dtw050

Zhang, Y., Zhang, M., Luo, N., Wang, Y., & Niu, T. (2019). Understanding the formation mechanism of high-quality knowledge in social question and answer communities: A knowledge co-creation perspective. International Journal of Information Management, 48, 72-84. https://doi.org/10.1016/j.ijinfomgt.2019.01.022


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