Digitalised human needs to support intra-organisational knowledge sharing among knowledge workers
by Maria Grace Herlina; Karto Iskandar; Randy Hadipoespito
International Journal of Knowledge-Based Development (IJKBD), Vol. 14, No. 1, 2024

Abstract: An organisation's success relies more on dynamic knowledge management (KM). A successful knowledge management system is inextricably linked to employee behaviour, namely intra-organisational knowledge sharing. Individual needs significantly influence human behaviour, such as innovation. Most need-based motivation theories make similar assumptions regarding basic needs such as achievement, affiliation, and power. Using the Rasch Model and structural equation modelling (SEM) methodologies, this research transforms human needs into digital form to enhance intra-organisational knowledge sharing among knowledge workers. The study hypothesis employs SEM. It indicates that the need for achievement, affiliation, and power influence knowledge sharing significantly, with the strongest significant influence being the need for power. Various information and communication technology (ICT) tools have recently been developed based on web, mobile, and desktop applications. The study mapped the three categories of motivators based on the appropriate ICT tools for intra-organisational knowledge sharing.

Online publication date: Wed, 27-Mar-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Knowledge-Based Development (IJKBD):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com