@inproceedings{d1b9d06c626f4848bdeac26e93830c05,
title = "A methodological improvement in the evaluation of research output: An adapted use of the scholarly capital model",
abstract = "How the evaluation of research is conducted has significant effects on the field in terms of what work is done, how it is done and who is rewarded. This paper expands on Cuellar, et al (2016) by providing an extended description and critique of the existing method and an overview of its proposed replacement, the Scholarly Capital Model. It shows that the existing method: counting papers in ranked journals uses an under-theorized base, systematically distorted data and has deleterious effects on the field. The paper then overviews the Scholarly Capital Model and shows how it can be used to evaluate research regardless of type of institution.",
keywords = "Bibliometrics, Influence, Journal ranking, Meta-is research, Scholarly capital model, Social network analysis",
author = "Cuellar, {Michael J.} and Hirotoshi Takeda and Truex, {Duane P.}",
note = "Publisher Copyright: {\textcopyright} 2018 Association for Information Systems. All rights reserved.; 24th Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018 ; Conference date: 16-08-2018 Through 18-08-2018",
year = "2018",
language = "English",
isbn = "9780996683166",
series = "Americas Conference on Information Systems 2018: Digital Disruption, AMCIS 2018",
publisher = "Association for Information Systems",
booktitle = "Americas Conference on Information Systems 2018",
address = "United States",
}