Measuring information system project success through a software-assisted qualitative content analysis

20Citations
Citations of this article
227Readers
Mendeley users who have this article in their library.

Abstract

Information System (IS)/IT project success is a growing interest in management due to its high impact on organizational change and effectiveness. Libraries have been adopting integrated library systems (ILS) to manage services and resources for years. It is essential for librarians to understand the mechanism of IS project management in order to successfully bring technology innovation to the organization. This study develops a theoretical model of measuring IS project success and tests it in an ILS merger project through a software-assisted qualitative content analysis. The model addresses project success through three constructs: (1) project management process, (2) project outcomes, and (3) contextual factors. The results indicate project management success alone cannot guarantee project success; project outputs and contextual factors also influence success through the leadership of the project manager throughout the lifecycle. The study not only confirms the proposed model in a post-project evaluation, but also signifies that project assessment can reinforce organizational learning, increase the chance of achieving success, and maximize overall returns for an organization. The qualitative content analysis with NVivo 11 has provided a new research method for project managers to self-assess an IS/IT project success systematically and learn from their experiences throughout the project lifecycle.Grant: This work would not have been possible without the support of the KSU Library System Administration and the team efforts from KSU Voyager Consolidation Committee, GIL Support, and Ex Libris Team. I am grateful to all of those with whom I have had the privilege to work during this project.

Cite

CITATION STYLE

APA

Guo, J. X. (2019). Measuring information system project success through a software-assisted qualitative content analysis. Information Technology and Libraries, 38(1), 53–70. https://doi.org/10.6017/ital.v38i1.10603

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free