Search results

This study aims to explore what and how digital innovation, as a knowledge-based and multi-dimensional process, can be used to increase the accountability of public and private sector organizations during the COVID-19 pandemic.

Taking an interpretivist approach, qualitative research is designed around Strong Structuration Theory (SST). A content analysis of relevant documents and semi-structured interviews focusing on the relationships between digital innovation and accountability in extraordinary times is conducted.

The results show the existence of digital innovation barriers and facilitators that can have an impact on accountability during extraordinary times. The research highlights how managers of public organizations focus largely on the social dimension of knowledge (i.e., competencies shaped by collective culture), while managers of private organizations focus mainly on the human dimension of knowledge (i.e., skills gained through learning by doing).

The paper enriches the accountability literature by historicizing SST for extraordinary times and by utilizing a multiple-dimensional approach to digital innovation. Also, the work underlines specific strategies organizations could usefully adopt to improve accountability through digital innovation in the public and private sectors during extraordinary times.

This article emphasizes the crucial integration of technological components with knowledge. In particular, the digital innovation is considered as a strong synergy of human and social dimensions that compels organizations toward enhanced accountability, particularly in the face of extraordinary challenges.

Distrust has been a neglected concept in public governance research, especially in comparison with the much more developed stream of studies on trust. Recently, however, there has been a growing recognition of the need to better understand distrust and separate it from trust, especially given contemporary social challenges which endanger trust within societies. This study aims to propose a validated and reliable scale to measure citizen distrust in public organizations through assessment of public organizations’ untrustworthiness.

A rigorous three-stage scale development procedure was used to identify, operationalize, evaluate and validate the dimensions of distrust. Data obtained from a research sample of 541 Polish citizens was subject to construct validation (exploratory and confirmatory factor analyses) with satisfactory discriminant and convergent validities. A homogeneity reliability analysis (Cronbach’s alpha) provided an evidence of internal consistency reliability.

The study presents a valid and reliable scale assessing distrust through three dimensions of untrustworthiness in the context of public administration. This scale was developed as a three-factor construct with 11 validated items.

The presented instrument allows researchers to study distrust systematically across sectors and countries. It may be useful in future research and may provide insights to design practical remedies for citizen distrust.