Investigating the trend of "Knowledge Acquisition" developments: A Scientometric analysis of Iranian and global research

Document Type : Original Research Paper

Authors

1 Ph.D. Student in Systems Management, Faculty of Management and Economics, Imam Hossein University, Tehran, Iran

2 Associate Professor, Faculty of Management and Economics, Imam Hossein University, Tehran, Iran

3 Assistant Professor, Department of Systems Management, Faculty of Management and Economics, Imam Hossein University, Tehran, Iran

Abstract

The main purpose of this study is to analyze the process of science production in knowledge acquisition subject, with a focus on its organizational essence, in scientific resources. Scientometric analysis was used to identify the key ontological themes and concepts of the subject through tools such as co-author, co-word, co-citation, and cluster analysis. The number of reviewed articles was 245 English articles published in ScienceDirect, and 20 Persian articles published in Iranian scientific databases. The period of English and persian articles was from 1979 to 2021. The data collection tools were queries, search databases, indexes, and codes, and the analysis method was scientometric tools and maps using MS Excel and VOSviewer software. The results of general trends show that from the origin of economically developed countries, a higher number of knowledge acquisition articles have been published than other countries. The number of articles from the origin of our country in the international database is very small, that due to the gradual recognition of the importance of organizational knowledge acquisition issues, it is necessary to publish more research with the origin of our country in the international databases. The research findings show that the time trend of publishing knowledge acquisition articles in the world and Iran is increasing with a gentle slope. The co-word networks show the relative centralization and independence of the clusters; as various concepts related to this subject have been formed and evolved and have formed other scientific clusters. This result demonstrates the importance of knowledge acquisition as an important node in information science knowledge networks. Concerning Co-Occurrence networks, it is necessary for researchers in the fields of knowledge management, knowledge integration, knowledge transfer, learning, organizational learning, and knowledge resources, to pay attention to findings of knowledge acquisition research. The timeline of the emergence of keywords in the field of knowledge acquisition shows the maturity of this field in recent years. Based on the findings, it is understood that the discovery and dissemination of new topics and ideas by new researchers in this field are possible and there is no theoretical saturation in the topics of knowledge acquisition. The wide connection of organizational education and organizational knowledge acquisition, and the variety of soft issues related to them, is a significant point for managers, researchers, and policymakers in the field of science and technology.

Keywords

Main Subjects

References

Alade, T., Welch, R., Robinson, A., & Nichol, L. (2020). Mobile Learning for Just-in-Time Knowledge Acquisition in a Workplace Environment. Proceedings of 3rd International Conference on Information and Computer Technologies (ICICT), 198-204.
Altbach, P.G., & Wit, H.D. (2018). Too much academic research is being published. International Higher Education, 96, 2-3.
Agarwal, R., & Tanniru, M.R. (1991). Knowledge extraction using content analysis. Knowledge Acquisition, 3(4), 421-441.
Argote, L. (2013). Organizational Learning: Creating, Retaining and Transferring Knowledge. NY: Springer.
Aussenac-Gilles, N., & Gandon, F. (2013). From the knowledge acquisition bottleneck to the knowledge acquisition overflow: A brief French history of knowledge acquisition. International Journal of Human-Computer Studies, 71 (2), 157-165.
Berchicci, L. (2013). Towards an open R&D system: Internal R&D investment, external knowledge acquisition and innovative performance. Research Policy, 42(1), 117-127.
Boon, S. (2017). 21st Century Science Overload. Canadian Science Publishing. Retrieved January 7, 2017 from: http://blog.cdnsciencepub.com/21st-century-science-overload/
Bosan, S. (1989). Interactive Simulations for Knowledge Acquisition. Master of Science Thesis. Department of Computer Science, College of William and Mary, Virginia.
Cohen, W. M., & Levinthal, D. A. (1990). Absorptive Capacity: A New Perspective on Learning and Innovation. Administrative Science Quarterly, Special Issue: Technology, Organizations, and Innovation, 35(1), 128-152.
Chiesi, H.L., Spilich, G.J., & Voss, J.F. (1979). Acquisition of domain-related information in relation to high and low domain knowledge. Journal of Verbal Learning and Verbal Behavior, 18(3), 257-273.
Denicolai, S., Ramirez, M., & Tidd, J. (2016). Overcoming the false dichotomy between internal R&D and external knowledge acquisition: Absorptive capacity dynamics over time. Technological Forecasting and Social Change, 104, 57–65.
Dmoshinskaia, N., Gijlers, H., & deJong, T. (2020). Giving Feedback on Peers’ Concept Maps in an Inquiry Learning Context: The Effect of Providing Assessment Criteria. Journal of Science Education and Technology, (2020), 1-11.
Dorasamy, M., Raman, M. & Kaliannan, M. (2013). Knowledge management systems in support of disasters management: A two-decade review. Technological Forecasting and Social Change, 80(9), 1834- 1853.
Elsevier Developers Support Center. (2018). What is the difference between ScienceDirect and Scopus data? Retrieved December 3, 2018 from: https://service.elsevier.com/app/answers/detail/a_id/28240/supporthub/agrm/p/15838/
Feigenbaum, E.A., & McCorduck, P. (1983). The fifth generation. Boston: Addison-Wesley.
Gaines, B.R. (2004). Organizational Knowledge Acquisition, In: Holsapple, C.W. (Ed.), Handbook on Knowledge Management 1: International Handbooks on Information Systems, Vol 1. Berlin: Springer.
Geneste, L. A., & Galvin, P. (2013). Trust and knowledge acquisition by small and medium-sized firms in weak client–firm exchange relationships. International Small Business Journal, 33(3), 277–298.
Ghauri, P.N., & Park, B.I. (2012). The impact of turbulent events on knowledge acquisition. Management International Review, 52(2), 293-315.
Grant, R.M. (1996). Toward A Knowledge-Based Theory of the Firm. Strategic Management Journal, 17, 109-122.
Haapalainen, P., & Mäkiranta, A. (2013). Acquiring and Sharing Knowledge in SMEs: A Case in The Manufacturing Industry. Journal of Knowledge Management Practice, 14(1), 1-8.
Hagemeister, M., & Rodríguez-Castellanos, A. (2019). Knowledge acquisition, training, and the firm's performance: A theoretical model of the role of knowledge integration and knowledge options. European Research on Management and Business Economics, 25(2), 48-53.
Ho, M.H.W., Ghauri, P.N., & Larimo, J.A. (2017). Institutional distance and knowledge acquisition in international buyer-supplier relationships: The moderating role of trust. Asia Pacific Journal of Management, 35, 427–447.
Holsapple, C. W., & Joshi, K. D. (2001). Organizational knowledge resources. Decision support systems, 31(1), 39-54.
Holsapple, C.W., & Joshi, K.D. (2004). A Knowledge Management Ontology: International Handbooks on Information Systems, Vol 1. Berlin: Springer.
Huber, G.P. (1991). Organizational Learning: The Contributing Processes and the Literatures. Organization Science, 2(1), 88-115.
Ishikawa, T., & Montello, D.R. (2006). Spatial knowledge acquisition from direct experience in the environment: Individual differences in the development of metric knowledge and the integration of separately learned places. Cognitive Psychology, 52(2), 93-129.
Jafari, M., Akhavan, P. & Akhtari, M. (2011). Exploration of Knowledge Acquisition Techniques in Tunnel Industry: The Case Study of Iran Tunnel Association. International Journal of Business and Management, 6(8), 245-255.
Koskinen, K.U., Pihlanto, P., & Vanharanta, H. (2003). Tacit knowledge acquisition and sharing in a project work context. International Journal of Project Management, 21(4), 281-290.
Leung, Y., Wu, W.Z., & Zhang, W.X. (2006). Knowledge acquisition in incomplete information systems: a rough set approach. European Journal of Operational Research, 168(1), 164-180.
Luca, A., Lupu, L.M., & Herghiligiu, I.V. (2016). Organizational Knowledge Acquisition- Strategic Objective of Organization. Proceedings of CBU International Conference on Innovations in Science and Education. March 23-25, 2016. Prague, Czech Republic.
Ma, R., & Huang, Y.C. (2016). Opportunity-based strategic orientation, knowledge acquisition, and entrepreneurial alertness: The perspective of the global sourcing suppliers in China. Journal of Small Business Management, 54(3), 953–972.
March, A.S. (1991). Exploration and exploitation in organizational learning. Organization Science, 2(1), 71-87.
Markoulli, M.P., Lee, C.I., Byington, E., & Felps, W.A. (2017). Mapping Human Resource Management: Reviewing the field and charting future directions. Human Resource Management Review, 27(3), 367-396.
Milton, N.R. (2003). Personal knowledge techniques. Ph.D. Thesis, University of Nottingham. UK.
Milton, N.R. (2007). Knowledge Acquisition in Practice A Step-by-step Guide. London: Springer-Verlag.
Motta, E. (2013). 25 Years of Knowledge Acquisition. International Journal of Human-Computer Studies, 71(2), 131-134.
Motta, E., Rajan, T., & Eisenstadt, M. (1990). Knowledge acquisition as a process of model refinement. Knowledge Acquisition, 2(1), 21-49.
Nieminen, H. (2007). Developing competences through inter-organizational knowledge acquisition. Tampere, Finland: Esa Print Tampere.
Niu, K. H. (2010). Knowledge management practices and organizational adaptation; Evidences from high technology companies in China. Journal of Strategy and Management, 3(4), 325-343.
Nonaka, I., & Takeuchi, H. (1995). The knowledge-creating company. NY: Oxford University Press.
Politis, J.D. (2003). The connection between trust and knowledge management: what are its implications for team performance. Journal of Knowledge Management, 7(5), 55-66.
Psotka, J. (2012) Interactive Learning Environments. In: Seel, N.M. (eds) Encyclopedia of the Sciences of Learning. Boston, MA: Springer.
Ramy, A., Floody, J., Ragab, M.A.F., & Arisha, A. (2017). A scientometric analysis of Knowledge Management Research and Practice literature: 2003–2015. Knowledge Management Research & Practice, 16(1), 66-77.
Rivera-Vazquez, J. C., Ortiz-Fournier, L. V., & Flores, F. R. (2009). Overcoming Cultural Barriers for Innovation and Knowledge Sharing. Journal of Knowledge Management, 13(5), 257 – 270.
Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach. NJ: Prentice Hall.
Serenko, A., Bontis, N., Booker, L.D., Sadeddin, K.W., & Hardie, T. (2010). A scientometric analysis of knowledge management and intellectual capital academic literature (1994-2008). Journal of Knowledge Management, 14(1), 3-23.
Soto-Acosta, P., Cegarra-Navarro, J. G., & Garcia-Perez, A. (2017). From the Guest Editors: Enterprise Social Media for Knowledge Management and Innovation in SMEs. Information Systems Management, 34(3), 203- 204.
Suarez, V., & Feixas, G. (2020). Cognitive Conflict in Borderline Personality Disorder: A Study Protocol. Behavioral Sciences, 10(12), 180.
Thang, N.N., Tuan, P.A., & Moses, Y. (2020). Knowledge acquisition, knowledge management strategy and innovation: An empirical study of Vietnamese firms. Cogent Business & Management, 7(1), 1786314.
Xie, X., Wang, L., & Zeng, S. (2018). Inter-organizational knowledge acquisition and firms' radical innovation: A moderated mediation analysis. Journal of Business Research, 90, 295-306.
Xie, X., Zang, Z., & Ponzoa, J.M. (2020). The information impact of network media, the psychological reaction to the COVID-19 pandemic, and online knowledge acquisition: Evidence from Chinese college students. Journal of Innovation & Knowledge, 5, 297-305.
Zahra, S.A., & George, G. (2002). Absorptive Capacity: A Review, Reconceptualization, and Extension. The Academy of Management Review, 27(2), 185-203.
Zhong, B., Wu, H., Li, H., Sepasgozar, S., Luo, H., & He, L. (2019). A scientometric analysis and critical review of construction related ontology research. Automation in Construction, 101, 17-31.

Files

History

  • Receive Date: 17 February 1961
  • Revise Date: 31 May 2021
  • Accept Date: 31 May 2021

Share

How to cite

Statistics