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The purpose of this paper is to examine how firms’ characteristics related to globalization affect their perception on corruption and actual experiences in bribery. It focuses on two indicators of globalization, namely, foreign ownership and export, and confines the scope to developing economies.

This analysis uses firm-level data with observation over 60,000 collected from 94 developing economies. The paper employs the probit model to examine how firm characteristics related to globalization affect corruption perception (CP) and incidence.

The empirical results reveal that for foreign-invested companies, there is a substantial discrepancy between the perceived corruption and the actual. Although they are involved in bribery as frequently as, or less frequently than local firms, they have greater CPs. Exporting firms are more frequently solicited for bribes, but the effect disappears when time spent for government contact is controlled for. Consequently, foreign investment partly contributes to the corruption control, but the export orientation of firms rather aggravates corruption due to regulative environments in developing economies.

This study provides policy implications that the corruption control through globalization requires streamlining of administration procedure related to foreign investment or trade and, thus, shortening time to deal with public officials. In addition, governments need to emphasize the importance of foreign investment and prevent unethical practices mediated by local partners.

The greatest novelty of this paper lies in using firm level data instead of country level unlike most of the literature. Moreover, the authors focus on firms only in developing economies. As well, unlike most studies using only perception indicators as the proxy of corruption, this paper considers both CPs and actual incidence, and compares each other.

Based on text content analysis using big data, this study aims to explore differences in guest perceptions of peer-to-peer accommodations before and after COVID-19 to provide suggestions for the development of these properties in China postpandemic.

A guest perception dictionary was established by collecting Ctrip customer reviews of peer-to-peer accommodations. After data cleaning, thematic word analysis and semantic association network analysis were used to explore perceptions and thematic differences before and after COVID-19.

This research constructed a multidimensional framework of guest-perceived values for peer-to-peer accommodation in the context of COVID-19. The findings showed that the emphasis on functionality in peer-to-peer accommodation changed; perceived emotional values associated with peer-to-peer stays were more complex; perceived social values decreased, host–guest interactions were reduced and online communication became a stronger trend; tourist preferences for types of experiences changed, and people changed their destination selections; perceived conditional value was reflected in perceived risks, and the perceptions of environmental health, service and physical risks increased.

This research has constructed a multidimensional framework of tourist perceived value on the basis of peer-to-peer accommodation context and epidemic background and has thus shown the changes in tourist perceived value of peer-to-peer accommodation before and after COVID-19.

To the best of authors’ knowledge, this research constitutes the first attempt to explore the perceptual differences for peer-to-peer accommodations before and after COVID-19 based on an extensive data set of online reviews from multiple provinces of China.