Raising wages has commonly been viewed as an anticorruption policy by policymakers from both governments and multilateral development organizations. Conventional wisdom and recent theoretical work suggest that low wages encourage corruption. Nevertheless, the empirical studies done on the wagecorruption tradeoff are econometric estimates that find no conclusive support for the effectiveness of increasing wages as an anticorruption measure. The unique contributions of this paper are the application of an expected utility model to explain the emergence of corruption, and the use of comparative static results that are consistent with the empirical evidence and useful for the design of anticorruption policies. The most important result from the expected utility model is that anticorruption policies designed to increase the net income of potentially corrupt agents not only may be ineffective but may actually encourage corruption.

This study intends to analyze some skills trained during supervision. In it we describe sets of interactions (based on the American Psychological Association [APA], 2006 ; competency domains) happened between the supervisor and the supervisee during the supervision process. Interactions from twelve supervisor-supervisee dyads during asynchronous and direct, and individual and group supervision sessions were video recorded for this purpose. The recordings helped to determine, classify, and define behavioral response classes in each dyad’s interactions. Percentages of time spent in each behavior class were computed. A reliability of 95% CI [0.91, 0.95] among observers was obtained. The behavior classes in which more time was spent were assessment, intervention, and conceptualization skills. Behavior classes in which less time was spent were related to emotional and interpersonal processes. These findings are discussed by linking the evidence-based theory on supervision with the time spent in each behavior class.

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Sharing platforms are becoming increasingly common, revolutionizing how peers interact and share resources across an array of online applications. While the sharing economy itself is established, less is known about service failures and corresponding recovery strategies that are relevant to it. This research investigates the myriad effects of service failures (and their associated recovery strategies) on customer experience in the digital sharing economy. Findings suggest that different service failure strategies exert differing effects on customer experience, which subsequently affects the behavior towards the service being provided and the service provider. The suggestions given here respond to important implications for research and practitioners by offering new ways to explore and detect service failures and possible recovery strategies.

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