Measuring Information System Project Success through a Software-Assisted Qualitative Content Analysis

  • Jin Xiu Guo Stony Brook University


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.

Author Biography

Jin Xiu Guo, Stony Brook University

Director of Collections and Resource Management

Collection Strategy Management

Stony Brook University Libraries


John Nicholas and Gezinus Hidding, "Management Principles Associated with IT Project Success," International Journal of Management and Information Systems 14, no. 5 (Nov. 2, 2010): 147-56,

Alan R. Peslak, "Information Technology Project Management and Project Success," International Journal of Information Technology Project Management 3, no. 3 (July 2012): 31-44,

Udechukwu Ojiako, Eric Johansen, and David Greenwood, "A Qualitative Re‐construction of Project Measurement Criteria." Industrial Management & Data Systems 108, no. 3 (Mar. 2008): 405-17,

Claudia-Georgeta Cảrstea, "IT Project Management—Cost, Time and Quality," Economy Transdisciplinarity Cognition 17, no. 1 (Mar. 2014): 28-34,

Wen-Hsien Tsai et al., "An Empirical Investigation of the Impacts of Internal/External Facilitators on the Project Success of ERP: A Structural Equation Model," Decision Support Systems 50, no. 2 (Jan. 2011): 480-90,

Raymond Young and Ernest Jordan, "Top Management Support: Mantra or Necessity?" International Journal of Project Management 26, no. 7 (Oct. 2008): 713-25,

Z. Irani, "Investment Evaluation within Project Management: An Information Systems Perspective," The Journal of the Operational Research Society 61, no. 6 (June 2010): 917-28,

Tadeau Oliveira de Lacerda, Leonardo Ensslin, and Sandra Rolim Ensslin, "A Performance Measurement View of IT Project Management," International Journal of Productivity and Performance Management 60, no. 2 (2011): 132-51,

Graeme Thomas and Walter Fernández, "Success in IT Projects: A Matter of Definition?" International Journal of Project Management 26, no. 7 (Oct. 2008): 733-42,

Elmar Kutsch, "The Measurement of Performance in IT Projects," International Journal of Electronic Business 5, no. 4 (2007): 415,

Joana G. Geraldi, Elmar Kutsch, and Neil Turner, "Towards a Conceptualisation of Quality in Information Technology Projects," International Journal of Project Management 29, no. 5 (July 2011): 557-67,

Ryan S. Hoover and Amy L. Koerber, "Using NVivo to Answer the Challenges of Qualitative Research in Professional Communication: Benefits and Best Practices Tutorial," IEEE Transactions on Professional Communication 54, no. 1 (Mar. 2011): 68-82,

Erika Goble et al., "Habits of Mind and the Split-Mind Effect: When Computer-Assisted Qualitative Data Analysis Software is used in Phenomenological Research," Forum: Qualitative Social Research 13, no. 2 (May 2012): 1-22,

Peter Balan et al., "Concept Mapping as a Methodical and Transparent Data Analysis Process," in Handbook of Qualitative Organizational Research (London: Routledge, 2015): 318-30,

Syed Zubair Haider and Muhammad Dilshad, "Higher Education and Global Development: A Cross Cultural Qualitative Study in Pakistan," Higher Education for the Future 2, no. 2 (July 2015): 175-93,

Andrew John Hutchison, Lynne Halley Johnston, and Jeff David Breckon, "Using QSR-NVivo to Facilitate the Development of a Grounded Theory Project: An Account of a Worked Example," International Journal of Social Research Methodology 13, no. 4 (Oct. 2010): 283-302,

Florian Kaefer, Juliet Roper, and Paresha Sinha. "A Software-Assisted Qualitative Content Analysis of News Articles: Example and Reflections," Forum: Qualitative Social Research 16, no. 2 (May 2015): 1-20,

Trena Paulus et al., "The Discourse of QDAS: Reporting Practices of ATLAS.Ti and NVivo Users with Implications for Best Practices," International Journal of Social Research Methodology 20, no. 1 (Jan. 2017): 35-47,

"About Coding," NVivo Help (Melbourne, Australia: QSR International, 2018), accessed Apr. 3 2018,

"U.S. Senate Unanimously Approves the Program Management Improvement and Accountability Act," Business Wire (Dec. 2016) accessed Nov. 10, 2017,

How to Cite
Guo, J. X. (2019). Measuring Information System Project Success through a Software-Assisted Qualitative Content Analysis. Information Technology and Libraries, 38(1), 53-70.