Climate for Innovation and ICT Implementation Effectiveness: A Missing Link in Italian E-government Projects

Abstract

Italy is very oriented to the introduction of new reforms but is often weak in their implementation. In particular, the implementation of ICT tools in e-government projects has shown implementation effectiveness, with a major gap between the availability and effective use of these tools. This study measures the climate for innovation in order to better understand the effectiveness of ICT implementation in public administration reform. Findings, based on a survey of three different departments of a local public administration, highlight a correlation between these two variables showing the relevance of a climate for innovation in the implementation process of reform.

Central tendency and matched difference approaches for assessing interrater agreement.

“…Typically, when an average r WG(J) of approximately 0.60 is obtained, the author will refer to James (1982) or Glick (1985) and a cut-off value of 0.60 to justify data aggregation. Here, the author often indicates that the observed r WG(J) “approximates the lower-bound rule-of-thumb” or is slightly greater than the “minimal acceptable value of 0.60 or 0.60 cutoff” (e.g., Binci, 2011; Hui, Chiu, Yu, Cheng, & Tse, 2007; McKay et al, 2009). And in some cases, the author will justify data aggregation by reporting the percentage of r WG(J) values above 0.60 (e.g., see Borucki & Burke, 1999).…”

“…Third, in almost all studies where individual level data are aggregated, the author does not eliminate any group on the basis of a low or out-of-bound interrater agreement result, and the author decides to aggregate even when mean (or median) interrater agreement values are below rules-of-thumb cutoff values (e.g., see Binci, 2011;Boehm, Dwertmann, Bruch, & Shamir, 2015;Borucki & Burke, 1999;de Jong, de Ruyter, & Lemmink, 2005;Hofmann & Mark, 2006;McKay, Avery, & Morris, 2009;Morrison et al, 2011;Patterson et al, 2005;Simons & Roberson, 2003). In a very small number of studies, the researcher will eliminate groups based on r WG values being below .70 (e.g., see Aryee, Chen, & Budhwar, 2004;Riordan et al, 2005;Susskind, Kacmar, & Borchgrevink, 2003).…”

The diffusion of e-participation in public administrations: A systematic literature review

“…For instance, we recommend research that builds on existing studies (see chapter 4.2.1; research about the macro level of adoption) and analyzes the effect of the institutional context (e.g., laws and regulations, culture, political system) on the initial decision of public administrations to adopt and implement different e-participation practices. Also, research on innovation and ICT implementation suggests that taking into account contextual effects, such as the climate for innovation or leader support, may help to better understand employee reaction to e-participation practices (Binci 2011;Misuraca and Viscusi 2015). Second, research may focus on bottom-up emergence.…”