As machines powered by artificial intelligence (AI) influence humans' behaviour in ways that
are both like and unlike the ways humans influence each other, worry emerges about the …

Although dishonesty is often a social phenomenon, it is primarily studied in individual
settings. However, people frequently collaborate and engage in mutual dishonest acts. We …

One key question driving innovations in corruption studies is how anticorruption reforms can
be more impactful and sustainable. This is critical to understand due to the detrimental …

Artificial intelligence increasingly becomes an indispensable advisor. New ethical concerns
arise if artificial intelligence persuades people to behave dishonestly. In an experiment, we …

Awareness-raising messages feature prominently in most anticorruption strategies. Yet,
there has been limited systematic research into their efficacy. There is growing concern that …

Dishonest behaviours such as tax evasion impose significant societal costs. Ex ante honesty
oaths—commitments to honesty before action—have been proposed as interventions to …

This paper discusses current developments in tax compliance research, with a focus on
three aspects. First, we summarize empirical evidence on the traditional deterrence or …

Starting in 2014, Brazilian politics was shaken up by the lava jato (LJ) operation, a law-
centered anticorruption initiative. LJ unveiled a large corruption scheme in Brazil's national …

This study explored the formation and influencing factors of the understudied implicit conflict
in rural tourism communities from a social capital perspective. An exploratory sequential …

For successful anti-corruption policies, it is crucial to understand the basic social contract
governing the interaction between people. Social norms are a key element of the social …