The DOI matches its Crossref record; 62 of the 62 references it cites were found in a registry or an index.
Digital technology driven knowledge sharing for job performance
Open accessAbstract
Purpose: The purpose of this study is to investigate how digital technologies are used for facilitating knowledge sharing and decision-making through enhanced coordination and communication and their impact on job performance in organizations. Design/methodology/approach: A conceptual model is developed within the background of the social capital theory through a comprehensive review of the related literature for exploring how digital technologies can improve knowledge sharing and decision-making via enhanced communication and coordination between individuals in organizations for better job performance. This model is then tested and validated based on structural equation modeling of the collected survey data in Australia. Findings: This study shows that digital technology enhanced coordination and communication have significant impact on knowledge sharing. It finds out that digital technology driven coordination significantly influences decision-making and digital technology driven knowledge sharing significantly influences decision-making. Furthermore, this study reveals that enhanced decision-making and knowledge sharing can lead to better job performance in organizations. Originality/value: To the best of the authors’ knowledge, this study is the first attempt to explore the role of digital technologies in enhancing knowledge sharing and decision-making for better job performance in a digitalized working environment in organizations. The validated model can be used as the foundation to further investigate the changing role of digital technologies in driving knowledge sharing for better performance of individuals and competitive advantages of organizations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.5.879 · Cited by 82,194
Treem, J. W., & Leonardi, P. M. (2013) · Annals of the International Communication Association · doi:10.1080/23808985.2013.11679130 · Cited by 1,993
Cheung, G. W., & Lau, R. S. (2008) · Organizational Research Methods · doi:10.1177/1094428107300343 · Cited by 1,965
The relationship of age to ten dimensions of job performance.
Ng, T. W. H., & Feldman, D. C. (2008) · Journal of Applied Psychology · doi:10.1037/0021-9010.93.2.392 · Cited by 1,224
Impact of digital surge during COVID-19 pandemic: A viewpoint on research and practice
De’, R., Pandey, N., & Pal, A. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102171 · Cited by 1,110
Kossek, E. E., Lautsch, B. A., & Eaton, S. C. (2006) · Journal of Vocational Behavior · doi:10.1016/j.jvb.2005.07.002 · Cited by 1,087
Digital Product Innovation Within Four Classes of Innovation Networks
Lyytinen, K., Yoo, Y., & Boland Jr., R. J. (2016) · Information Systems Journal · doi:10.1111/isj.12093 · Cited by 806
Trust and tacit knowledge sharing and use
Holste, J. S., & Fields, D. (2010) · Journal of Knowledge Management · doi:10.1108/13673271011015615 · Cited by 789
An affordance perspective of team collaboration and enforced working from home during COVID-19
Waizenegger, L., McKenna, B., Cai, W., & Bendz, T. (2020) · European Journal of Information Systems · doi:10.1080/0960085x.2020.1800417 · Cited by 719
Hau, Y. S., Kim, B., Lee, H., & Kim, Y.-G. (2013) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2012.10.009 · Cited by 556
Cited by
AI-empowered KM processes for decision-making: empirical evidence from worldwide organisations
Leoni, L., Gueli, G., Ardolino, M., Panizzon, M., & Gupta, S. (2024) · Journal of Knowledge Management · doi:10.1108/jkm-03-2024-0262 · Cited by 93
(2024) · Journal of Chinese Human Resources Management · doi:10.47297/wspchrmwsp2040-800501.20241503 · Cited by 16
Metadata
- Authors
- Deng, H., Duan, S. X., & Wibowo, S.
- Venue
- Journal of Knowledge Management
- Publisher
- Emerald
- Published
- 2022-03-02
- Volume
- 27
- Issue
- 2
- Pages
- 404-425
- ISSN
- 1367-3270 (ISSN-L)
- OpenAlex
- W4293097956
- Cited by
- 259
- References
- 62
- FWCI
- 80.04
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Digital technology driven knowledge sharing for job performance. https://app.cochat.ai/papers/10.1108/jkm-08-2021-0637
- The paper
- Deng, H., Duan, S. X., & Wibowo, S. (2023). Digital technology driven knowledge sharing for job performance. Journal of Knowledge Management. https://doi.org/10.1108/jkm-08-2021-0637
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.