Abstract: This study addresses the underexplored area of EFSs (EFS) tailored for business applications, with a specific focus on supporting Small and Medium Enterprises (SMEs). The principal objective of this research is to develop an EFS designed to cater to the needs of Vietnamese SMEs. The study methodology involves conducting in-depth interviews with Vietnamese SMEs to ascertain their requirements for Vietnamese EFSs. Subsequently, the research proposes an architectural model for the EFS and proceeds to develop the corresponding system. The EFS operates by collecting and analyzing data from diverse online sources to identify Vietnamese experts and individuals of Vietnamese origin who can provide valuable insights and support to enterprises operating in Vietnam. This research framework is guided by five key Husain (2019)’s issues: 1) Expertise evidence selection, 2) Expert representation, 3) Model building, 4) Model evaluation, and 5) Interaction design. By addressing these issues, the study aims to contribute to the development of an effective EFS tailored to the specific needs of Vietnamese SMEs in their quest to find and engage experts for business growth and innovation.

Thi Thu Le, Xuan Lam Pham and Thanh Huong Nguyen, “Tailored Expert Finding Systems for Vietnamese SMEs: A Five-step Framework” International Journal of Advanced Computer Science and Applications(IJACSA), 14(11), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0141153

@article{Le2023,
title = {Tailored Expert Finding Systems for Vietnamese SMEs: A Five-step Framework},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0141153},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0141153},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {11},
author = {Thi Thu Le and Xuan Lam Pham and Thanh Huong Nguyen}
}