Theory-Based Problem Formulation and Ideation in mHealth: Analysis and Recommendations

Coquessa Jones, John R. Venable

Source Title: Journal of Organizational and End User Computing (JOEUC)34(4)

ISSN: 1546-2234|EISSN: 1546-5012|EISBN13: 9781799893271|DOI: 10.4018/JOEUC.289434

MLA

Jones, Coquessa, and John R. Venable. "Theory-Based Problem Formulation and Ideation in mHealth: Analysis and Recommendations." JOEUC vol.34, no.4 2022: pp.1-21. http://doi.org/10.4018/JOEUC.289434

APA

Jones, C. & Venable, J. R. (2022). Theory-Based Problem Formulation and Ideation in mHealth: Analysis and Recommendations. Journal of Organizational and End User Computing (JOEUC), 34(4), 1-21. http://doi.org/10.4018/JOEUC.289434

Chicago

Jones, Coquessa, and John R. Venable. "Theory-Based Problem Formulation and Ideation in mHealth: Analysis and Recommendations," Journal of Organizational and End User Computing (JOEUC) 34, no.4: 1-21. http://doi.org/10.4018/JOEUC.289434

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Abstract

This article reports on an investigation into how to improve problem formulation and ideation in Design Science Research (DSR) within the mHealth domain. A Systematic Literature Review of problem formulation in published mHealth DSR papers found that problem formulation is often only weakly performed, with shortcomings in stakeholder analysis, patient-centricity, clinical input, use of kernel theory, and problem analysis. The study proposes using Coloured Cognitive Mapping for DSR (CCM4DSR) as a tool to improve problem formulation in mHealth DSR. A case study using CCM4DSR found that using CCM4DSR provided a more comprehensive problem formulation and analysis, highlighting aspects that, until CCM4DSR was used, weren’t apparent to the research team and which served as a better basis for mHealth feature ideation.