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The purpose of this paper is to investigate the relationship between the environmental uncertainty faced by public administrations and their likelihood of disclosing performance information, particularly at municipal level.

The existence of the relationship between environmental uncertainty and performance information disclosure is explored, drawing on organizational information processing theory. The paper describes an empirical quantitative investigation in a sample of 490 Italian municipalities.

Municipalities facing more uncertainty are more likely to disclose performance information. There is no unique set of factors that can explain the difference in the disclosure activity of Italian municipalities, but this activity appears to be contingent on the level of environmental uncertainty.

The paper explores the under-investigated field of factors influencing the disclosure of performance information by public administrations. It identifies uncertainty as one of the determinants of performance information disclosure. The findings suggest that the use of theories and variables not previously used in this type of study can improve understanding of the phenomenon. The study also suggests that public officials should consider adequate enforcement mechanisms to promote performance information disclosure, especially for organizations with lower incentives to improve information processing capabilities.

Corruption is a major social problem, and scholars have devoted considerable attention to this phenomenon. However, less attention has been paid to how corruption spreads among organizations and what factors can make its spread more likely. This study aims to fill the gap by modelling corruption as an interorganizational contagion.

The authors used social contagion theory to model corruption as an interorganizational contagion, influenced by the susceptibility of organizations and the strength of contagion sources. The study analysed 736 medium and large Italian municipalities over a five-year period, with 3,146 observations (excluding missing data). The authors conducted a longitudinal analysis using panel logistic regression techniques and performed robustness and endogeneity checks through a dynamic panel data model.

The authors found that municipalities with a higher percentage of corrupt neighbouring municipalities were more likely to experience corruption. The probability of experiencing corruption was also significantly higher for municipalities with weaker organizational resistance to corruption contagion.

Previous studies have not clearly explained the organizational mechanisms behind the spread of corruption at the interorganizational level. The study suggests that corruption contagion at the municipal level occurs via reduced uncertainty in decision-makers and is influenced by the prevalence of corruption locally. The spread can be driven by conscious or unconscious mechanisms. This study challenges the idea that corruption contagion is immediate and inevitable. Organizational resistance to corruption can affect the risk of contagion, highlighting the importance of anti-corruption controls and ethical systems in preventing it.