EconPapers    
Economics at your fingertips  
 

Knowledge-based decision support system for improving e-business innovations and dynamic capability of IT project management

Min-Ren Yan, Nhan Tran-Danh and Lin-Ya Hong

Knowledge Management Research & Practice, 2019, vol. 17, issue 2, 125-136

Abstract: E-business and e-commerce services have been globally applied across various industries in the digital era. Leading e-commerce platform companies should invite open innovation to explore new market and continuously innovate their products and services with various supply chains that simultaneously require more reliable and flexible project management for the IT supports. The e-businesses are urging for agile and dynamic approach that integrate the time, cost, and quality objectives and human resources in the IT team. This research proposes a knowledge-based management decision support system, by using System Dynamics modelling and computer simulations, to analyse project performance over time and the impacts of strategic management decisions on the dynamic capability of e-commerce services. A real world case study, from a cross-border e-commerce platform company, has been investigated. Operations strategies to e-business innovations and IT supports could be timely evaluated with iterative simulations. The project management competency, service quality, operations cost feasibility, and profitability of e-commerce services could be further improved with the model applications.

Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://hdl.handle.net/10.1080/14778238.2019.1601507 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:tkmrxx:v:17:y:2019:i:2:p:125-136

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tkmr20

DOI: 10.1080/14778238.2019.1601507

Access Statistics for this article

Knowledge Management Research & Practice is currently edited by Giovanni Schiuma

More articles in Knowledge Management Research & Practice from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:tkmrxx:v:17:y:2019:i:2:p:125-136