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Nawaz, M.A., Shah, Z., Nawaz, A., Asmi, F., Hassan, Z. and Raza, J. (2018) Overload and Exhaustion: Classifying SNS Discontinuance Intentions. Cogent Psychology, 5, 1-18.
https://doi.org/10.1080/23311908.2018.1515584

has been cited by the following article:

• TITLE: School Level Information System (IS) Discontinuance Intention: A Case Study on Information System (IS) Discontinuance of Surigao State College of Technology SSCT

  AUTHORS: Vrian Jay Ylaya

  KEYWORDS: Organizational Level Information System Discontinuance Intention OLIDI, Information System (IS), Information System (IS) Discontinuance

  JOURNAL NAME: Intelligent Information Management, Vol.12 No.4, July 30, 2020

  ABSTRACT: Educational institutions implement school information system (IS) solutions for efficient academic processes and improve the student experience, and thus tend to upgrade to new school IS, ceasing the use of old school IS. Extant studies of information system discontinuance are in organizational in general. This study is solely a school organization setting, specifically a thorough understanding of contributing factors that facilitate the intention of school information system (IS) discontinuance. Organizational level IS discontinuance intention OLIDI model was used as a lens and anchored by grounded theory. Semi-Structured interviews were used to collect data from school administrators and users of information system (IS) of Surigao State College of Technology. A qualitative statistics approach and coding of words are used to analyze the intention of IS discontinuance and provide model for school setting IS discontinuance. The findings show that system shortcomings, organizational initiative, environmental change, system investment, and institutional pressures were the critical determinants of increased intentions to replace the existing school information system (IS). The study findings are useful to school administrators to identify long term flexibility required for policies to overcome the capability of shortcomings that emerge over the system life span and underline risk associated with continued use of unsupported systems.