Title : ( The potential of business intelligence tools for expert finding )
Authors: Mehdi Dadkhah , Mohammad Mehraeen , Fariborz Rahimnia , Khalil Kimiafar ,Access to full-text not allowed by authors
Abstract
Finding the right experts for data gathering through interview serves as a key for particular research works. However, most expert finding methods in the literature require great deals of technical knowledge, making them somewhat impracticable for business researchers without deep technical knowledge. Accordingly, there is a need for an expert finding solution for researchers without a deep technical background. As business researchers may have knowledge about business intelligence and its tools, the use of business intelligence tools can be used to solve such issue. The present paper discusses the process of using business intelligence tools to find potential experts for example topics. Subsequently, based on a literature review, criteria are presented for distinguishing different experts. Finally, the analytic hierarchy process is discussed for assigning weights to both selection criteria and potential experts. The audience of this paper is researchers who are familiar with business intelligence tools or would like to learn how to work with them
Keywords
, Business intelligence, business intelligence tools, expert selection, expert selection criteria, participant selection@article{paperid:1077597,
author = {Dadkhah, Mehdi and Mehraeen, Mohammad and Rahimnia, Fariborz and خلیل کیمیافر},
title = {The potential of business intelligence tools for expert finding},
journal = {Journal of Intelligence Studies in Business},
year = {2019},
volume = {9},
number = {2},
month = {October},
issn = {2001-015x},
pages = {82--95},
numpages = {13},
keywords = {Business intelligence; business intelligence tools; expert selection; expert selection criteria; participant selection},
}
%0 Journal Article
%T The potential of business intelligence tools for expert finding
%A Dadkhah, Mehdi
%A Mehraeen, Mohammad
%A Rahimnia, Fariborz
%A خلیل کیمیافر
%J Journal of Intelligence Studies in Business
%@ 2001-015x
%D 2019