Communication tools as drivers of employees’ knowledge sharing: evidence from the Czech Republic
-
DOIhttp://dx.doi.org/10.21511/ppm.18(1).2020.36
-
Article InfoVolume 18 2020, Issue #1, pp. 415-427
- Cited by
- 1065 Views
-
210 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
For many organizations, knowledge sharing is essential to keep their competitive ability. As characteristics of available communication media might influence knowledge flows in the organization, this study examines if the frequency of some communication media usage and their perceived usefulness relate to the extent of knowledge sharing. The study applied a quantitative research design and used opinion-based questionnaires. In total, 178 participants from the Czech Republic were involved, mainly from manufacturing industry. Significant positive correlations between “how often employees use the defined instruments for gathering and communicating information in work” and “how useful employees find the defined instruments for gathering and communicating information in work” to “the extent of knowledge sharing in the organization” were identified. Additionally, the frequency of the use of communication media predicted the extent of knowledge sharing in the organization. Specifically, the frequency of the use of meetings significantly predicted the extent of knowledge sharing (β = .54, p < .001). Moreover, perceived usefulness of communication media projected the frequency of the use of communication media. The findings confirm that if employees see the offered communication tools as being useful, they are willing to use them more often, and it has a positive effect on the extent of knowledge sharing. Therefore, the design of communication tools should take into account the needs and requirements of the workforce who will use it. Additionally, organizations should organize effective meetings if they want to enhance knowledge sharing in the organization.
Acknowledgment
This work was supported by Tomas Bata University in Zlín [grant numbers RO/2016/07, RO/2018/04].
- Keywords
-
JEL Classification (Paper profile tab)M10, M12
-
References38
-
Tables5
-
Figures2
-
- Figure 1. Theoretical model
- Figure 2. Path analysis
-
- Table 1. Profile of companies and respondents
- Table 2. Overview of communication media
- Table 3. Summary of exploratory factor analysis for the questionnaire of the frequency of communication media usage
- Table 4. Summary of exploratory factor analysis for the questionnaire of the communication media perceived usefulness
- Table 5. Statistical characteristics of the variables and Pearson’s correlation coefficients
-
- Alavi, M., & Leidner, D. E. (2001). Review: Knowledge management and knowledge management systems: Conceptual foundations and research issues. MIS Quarterly, 25(1), 107-136.
- Amidi, A., Jabar, M., Jusoh, Y. Y., & Abdullah, R. (2017). Appropriation of social media for fostering effective tacit knowledge sharing: Developing conceptual model. Journal of Physics: Conference Series, 892(1).
- Assegaff, S., Hendri, Sunoto, A., Yani, H., & Kisbiyanti, D. (2017). Social media success model for knowledge sharing (Scale development and validation). Telkomnika (Telecommunication Computing Electronics and Control), 15(3), 1335-1343.
- Cabrera, E. F., & Cabrera, A. (2005). Fostering knowledge sharing through people management practices. International Journal of Human Resource Management, 16(5), 720-735.
- Camelo-Ordaz, C., García-Cruz, J., Sousa-Ginel, E., & Valle-Cabrera, R. (2011). The influence of human resource management on knowledge sharing and innovation in Spain: The mediating role of affective commitment. International Journal of Human Resource Management, 22(7), 1442-1463.
- Chiang, H., Han, T., & Chuang, J. (2011). The relationship between high-commitment HRM and knowledge-sharing behavior and its mediators. International Journal of Manpower, 32(5), 604-622.
- Collins, C. J., & Smith, K. G. (2006). Knowledge exchange and combination: The role of human resource practices in the performance of high-technology firms. Academy of Management Journal, 49(3), 544-560.
- Daft, R. L., & Lengel, R. H. (1986). Organizational Information Requirements, Media Richness and Structural Design. Management Science, 32(5), 554-571.
- Dalkir, K. (2011). Knowledge management in theory and practice (2nd ed.). MIT Press.
- Dennis, A. R., & Valacich, J. S. (1999). Rethinking media richness: Towards a theory of media synchronicity. Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences (HICSS-32).
- Dennis, A. R., Fuller, R. M., & Valacich, J. S. (2006). Media, Tasks, and Communication Processes: A Theory of Media Synchronicity. MIS Quarterly, 32(3), 575-600.
- El-Shinnawy, M., & Markus, M. L. (1997). The poverty of media richness theory: Explaining people’s choice of electronic mail vs. voice mail. International Journal of Human-Computer Studies, 46(4), 443-467.
- El-Shinnawy, M., & Markus, M. L. (1998). Acceptance of communication media in organizations: Richness or features? IEEE Transactions on Professional Communication, 41(4), 242-253.
- Field, A. P. (2013). Discovering statistics using IBM SPSS statistics: And sex and drugs and rock “n” roll (4th ed.). Sage.
- Gottschalg, O., & Zollo, M. (2007). Interest alignment and competitive advantage. Academy of Management Review, 32(2), 418-437.
- Haythornthwaite, C., & Wellman, B. (1998). Work, friendship, and media use for information exchange in a networked organization. Journal of the American Society for Information Science, 49(12), 1101-1114.
- Hislop, D. (2013). Knowledge management in organizations: A critical introduction (3rd ed.). Oxford University Press.
- Hutcheson, G. D., & Sofroniou, N. (1999). The multivariate social scientist: Introductory statistics using generalized linear models. Sage Publications.
- Huysman, M., & Volker, W. (2004). Design requirements for knowledge-sharing tools: A need for social capital analysis. In Social capital and information technology (1st ed.) (pp. 187-207). MIT Press.
- Ipe, M. (2003). Knowledge sharing on organizations: A conceptual framework. Human Resource Development Review, 2(4), 337-359.
- Kock, N. (2005). Media richness or media naturalness? The evolution of our biological communication apparatus and its influence on our behavior toward E-communication tools. IEEE Transactions On Professional Communication, 48(2), 117-130.
- Kock, N., & Davison, R. (2003). Can lean media support knowledge sharing? Investigating a hidden advantage of process improvement. IEEE Transactions on Engineering Management, 50(2), 151-163.
- Liu, S.-H., Liao, H.-L., & Pratt, J. A. (2009). Impact of media richness and flow on e-learning technology acceptance. Computers & Education, 52(3), 599-607.
- Matošková, J. (2019). Why employees share their knowledge. Business Administration and Management, 22(2), 83-96.
- Men, L. R. (2014). Strategic Internal Communication: Transformational Leadership, Communication Channels, and Employee Satisfaction. Management Communication Quarterly, 28(2), 264-284.
- Molaro, A. (2019). Meetings: A Framework to Improve Effectiveness and Employee Satisfaction. Library Leadership & Management, 33(2), 1-10.
- O’Donovan, T. (1998). The impact of information technology on internal communication. Education and Information Technologies, 3(1), 3-26.
- Pasher, E., & Ronen, T. (2011). The complete guide to knowledge management: A strategic plan to leverage your company’s intellectual capital. John Wiley.
- Pastor, I. M. P., Santana, M. P. P., & Sierra, C. M. (2010). Managing knowledge through human resource practices: Empirical examination on the Spanish automotive industry. International Journal of Human Resource Management, 21(13), 2452-2467.
- Razmerita, L., Kirchner, K., & Nielsen, P. (2016). What factors influence knowledge sharing in organizations? A social dilemma perspective of social media communication. Journal of Knowledge Management, 20(6), 1225-1246.
- Romney, A. C., Smith, I. H., & Okhuysen, G. A. (2019). In the trenches: Making your work meetings a success. Business Horizons, 62(4), 459-471.
- Son, S. Y., Cho, D. H., & Kang, S.-W. (2017). The impact of close monitoring on creativity and knowledge sharing: The mediating role of leader-member exchange. Creativity and Innovation Management, 26(3), 256-265.
- Suh, K. S. (1999). Impact of communication medium on task performance and satisfaction: An examination of media-richness theory. Information & Management, 35(5), 295-312.
- Wang, S., & Noe, R. A. (2010). Knowledge sharing: A review and directions for future research. Human Resource Management Review, 20(2), 115-131.
- Welch, M. (2012). Appropriateness and acceptability: Employee perspectives of internal communication. Public Relations Review, 38(2), 246-254.
- White, C., Vanc, A., & Stafford, G. (2009). Internal communication, information satisfaction, and sense of community: The effect of personal influence. Journal of Public Relations Research, 22(1), 65-84.
- Yuan, Y. C., Zhao, X., Liao, Q., & Chi, C. (2013). The use of different information and communication technologies to support knowledge sharing in organizations: From e-mail to micro-blogging. Journal of the American Society for Information Science and Technology, 64(8), 1659-1670.
- Yuan, Y.-H., Tsai, S.-B., Dai, C.-Y., Chen, H.-M., Chen, W.-F., Wu, C.-H., Li, G., & Wang, J. (2017). An empirical research on relationships between subjective judgement, technology acceptance tendency and knowledge transfer. PLoS ONE, 12(9), 1-22.