An interpretive structural modelling of the features influencing researchers' selection of reference management software

Reference management software packages are established as research software packages to help scholars organize their work, improve workflows and ultimately save time. The number of citation management software packages has increased in recent years and therefore choosing an appropriate one has becom...

Full description

Saved in:
Bibliographic Details
Main Authors: Nilashi, Mehrbakhsh, Dalvi, Mohammad, Ibrahim, Othman, Zamani, Morteza, Ramayah, T.
Format: Article
Published: SAGE Publications Ltd 2019
Subjects:
Online Access:http://eprints.utm.my/id/eprint/87759/
http://dx.doi.org/10.1177/0961000616668961
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Teknologi Malaysia
id my.utm.87759
record_format eprints
spelling my.utm.877592020-11-30T13:15:47Z http://eprints.utm.my/id/eprint/87759/ An interpretive structural modelling of the features influencing researchers' selection of reference management software Nilashi, Mehrbakhsh Dalvi, Mohammad Ibrahim, Othman Zamani, Morteza Ramayah, T. QA75 Electronic computers. Computer science Reference management software packages are established as research software packages to help scholars organize their work, improve workflows and ultimately save time. The number of citation management software packages has increased in recent years and therefore choosing an appropriate one has become a challenge for researchers. Scholars always explore the features of an appropriate RMS prior to making an investment to invest in one. Hence, the purpose of this study was to identify and analyze the prominent features in the selection of appropriate reference management software based on an extensive literature review and further to validate this through experts’ opinions. We have utilized the valuable opinions of experts to develop a hierarchical model based on the interpretive structural modelling approach to demonstrate the contextual interrelationship among these factors. Furthermore, the Matrice d’Impacts Croisées-Multiplication Appliquée à un Classement analysis approach has been utilized to classify the identified features based on their dependences and driving power, and to validate the developed interpretive structural modelling-based conceptual model. The developed model in this study can help reference management software developers to understand the correlations among the identified features and their interdependences to further enhance the quality of their products. The academic and practical contributions of the study are discussed. SAGE Publications Ltd 2019-03-01 Article PeerReviewed Nilashi, Mehrbakhsh and Dalvi, Mohammad and Ibrahim, Othman and Zamani, Morteza and Ramayah, T. (2019) An interpretive structural modelling of the features influencing researchers' selection of reference management software. Journal of Librarianship and Information Science, 51 (1). pp. 34-46. ISSN 0961-0006 http://dx.doi.org/10.1177/0961000616668961 DOI:10.1177/0961000616668961
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Nilashi, Mehrbakhsh
Dalvi, Mohammad
Ibrahim, Othman
Zamani, Morteza
Ramayah, T.
An interpretive structural modelling of the features influencing researchers' selection of reference management software
description Reference management software packages are established as research software packages to help scholars organize their work, improve workflows and ultimately save time. The number of citation management software packages has increased in recent years and therefore choosing an appropriate one has become a challenge for researchers. Scholars always explore the features of an appropriate RMS prior to making an investment to invest in one. Hence, the purpose of this study was to identify and analyze the prominent features in the selection of appropriate reference management software based on an extensive literature review and further to validate this through experts’ opinions. We have utilized the valuable opinions of experts to develop a hierarchical model based on the interpretive structural modelling approach to demonstrate the contextual interrelationship among these factors. Furthermore, the Matrice d’Impacts Croisées-Multiplication Appliquée à un Classement analysis approach has been utilized to classify the identified features based on their dependences and driving power, and to validate the developed interpretive structural modelling-based conceptual model. The developed model in this study can help reference management software developers to understand the correlations among the identified features and their interdependences to further enhance the quality of their products. The academic and practical contributions of the study are discussed.
format Article
author Nilashi, Mehrbakhsh
Dalvi, Mohammad
Ibrahim, Othman
Zamani, Morteza
Ramayah, T.
author_facet Nilashi, Mehrbakhsh
Dalvi, Mohammad
Ibrahim, Othman
Zamani, Morteza
Ramayah, T.
author_sort Nilashi, Mehrbakhsh
title An interpretive structural modelling of the features influencing researchers' selection of reference management software
title_short An interpretive structural modelling of the features influencing researchers' selection of reference management software
title_full An interpretive structural modelling of the features influencing researchers' selection of reference management software
title_fullStr An interpretive structural modelling of the features influencing researchers' selection of reference management software
title_full_unstemmed An interpretive structural modelling of the features influencing researchers' selection of reference management software
title_sort interpretive structural modelling of the features influencing researchers' selection of reference management software
publisher SAGE Publications Ltd
publishDate 2019
url http://eprints.utm.my/id/eprint/87759/
http://dx.doi.org/10.1177/0961000616668961
_version_ 1685578984972091392