An Examination of Task-Technology Fit in Public Administration and Management: A Configurational Approach

Abstract

In spite of heavy investments in digital technologies in the public sector over the past couple of decades, one of the most important issues regarding the value realized from them is that in many cases he technologies used to support tasks of professionals are often not used as intended, or even not used at all. Apart from not perceiving any positive impacts, several studies have noted negative effects when professionals incorporate different novel technologies into their work tasks. Building the task-technology fit theory and based on a recent sample of 228 professionals working in Norwegian public administration and management bodies, this study uncovers the configurations of elements that lead to positive and negative impacts when using digital technologies to support work. We apply a fuzzy set qualitative comparative analysis (fsQCA) to demonstrate that there are several alternative configurations of tasks, technologies, and use practices that can either help produce positive impacts or create negative ones.

Digital working during the COVID-19 pandemic: how task–technology fit improves work performance and lessens feelings of loneliness

“…The TTF model consists of the four major constructs: technology characteristics, task characteristics, TTF, and technology utilization (Strong et al , 2006). It has been tested extensively, and it has been shown that TTF affects both usage and performance of individuals as well as organizational outcomes (Cady et al , 2014; Furneaux, 2012; Gebauer et al , 2010; Hsiao and Chen, 2012; Mikalef and Torvatn, 2019a, b; Mikalef et al , 2019; Zhang et al , 2011).…”