Suchergebnisse

This paper employs a focus group approach to examine stereotypical perceptions of Chinese and U.S. Americans from each other's perspective. Eight focus groups were conducted involving 34 undergraduate participants from two universities in the U.S. and China. Group discussions were recorded, transcribed, and analyzed for emerging themes. Results showed that there were converging and diverging perceptions between Americans and Chinese. Specifically, both Americans and Chinese perceived Americans to be individualistic and independent, and Chinese to be family oriented and collectivistic. However, Americans and Chinese differed in the extent to which Americans are perceived as social and Chinese as quiet. Sources of people's stereotypical perception were also explored. Theoretical and practical implications of the study were discussed.

AbstractChina presents a mixed picture in terms of its anti-corruption efforts. On the one hand, rampant corruption remains a huge challenge for the party-state because it not only results in the loss of state assets but also damages the legitimacy of the regime. On the other hand, China's record of curbing corruption is not particularly worse than other comparable countries. This paper explains the reasons behind this mixed picture by focusing on the anti-corruption strategy employed by the central Party authorities. Effective anti-corruption measures are determined by the high probability of detecting corrupt agents and the meting out of effective and warranted punishment. In China, the central government is unable or unwilling to investigate a large number of officials, especially high-ranking officials. However, at the same time, it must impose severe punishment on convicted high-ranking officials. Although this mode of selective discipline compromises the credibility of the state in terms of anti-corruption efficacy, it also creates uncertainty for corrupt agents because corrupt officials are not guaranteed exemption.

China presents a mixed picture in terms of its anti-corruption efforts. On the one hand, rampant corruption remains a huge challenge for the party-state because it not only results in the loss of state assets but also damages the legitimacy of the regime. On the other hand, China's record of curbing corruption is not particularly worse than other comparable countries. This paper explains the reasons behind this mixed picture by focusing on the anti-corruption strategy employed by the central Party authorities. Effective anti-corruption measures are determined by the high probability of detecting corrupt agents and the meting out of effective and warranted punishment. In China, the central government is unable or unwilling to investigate a large number of officials, especially high-ranking officials. However, at the same time, it must impose severe punishment on convicted high-ranking officials. Although this mode of selective discipline compromises the credibility of the state in terms of anti-corruption efficacy, it also creates uncertainty for corrupt agents because corrupt officials are not guaranteed exemption. (China Q/GIGA)

AbstractPeople's willingness to forgive corrupt government officials has intrigued many researchers. According to a prominent explanation, citizens tolerate corrupt officials in exchange for their ability to deliver public benefits, such as promoting economic development. We contextualize this corruption–competence tradeoff thesis by assessing individuals' evaluations of local officials in China. We conduct a nationwide vignette experiment with 5527 citizens, and find that the corruption–competence tradeoff exists and is hierarchical. Respondents prefer competent but corrupt low-level officials over those who are honest but incompetent, but this relative preference vanishes when they evaluate high-level local officials. Our interviews reveal that proximity to citizens and position in the power hierarchy primarily drive citizens' sophisticated assessments of officials at different levels.

This study tested theoretical models that explicate the influence of anger on disputants' communication tactics and relational outcomes across two cultures. Participants were undergraduate students in Hong Kong ( N = 64) and the United States ( N = 74) who formed intracultural negotiation dyads to resolve a dispute between roommates. Results indicate that anger had an indirect influence on both negotiators' own and their counterpart's desire to continue the relationship. Anger affected negotiators' relational goals (affiliation vs. power) that prompted the use of differing facework (face-saving vs. face-threatening) and dispute resolution (interests- vs. power- vs. rights-based) tactics, which were associated with both one's own and the counterpart's relational outcome. Although the models received support in both cultures, anger had a stronger influence on rights-based tactics for Americans, whereas it had a stronger indirect influence on power-based tactics for Hong Kong Chinese.

Ensuring the accountability of state agents requires the use of reward and sanction. Like other authoritarian regimes, the Chinese Party-state faces a dilemma in dealing with malfeasant agents: unprincipled tolerance undermines the regime's legitimacy, but disciplining officials may demoralize agents and result in the loss of state investment in them. Given this dilemma, selective or differentiated discipline becomes a logical choice. Using the case of social conflict management by local officials, this article explores the political rationale behind the use of selective discipline in China. It finds that two factors significantly affect the likelihood of an official being punished for mishandling social conflict: the severity of the consequences of the official's failure, and his or her role in the failure. (China J/GIGA)

The COVID-19 pandemic brings the topic of citizen data management (CDAMA) into the public eye. This study is one of the first attempts to analyze the national approaches for CDAMA applied by governments of different countries and continents in public sectors. The study first conducts a systematic overview of the representative contact tracing apps in 21 countries of four continents, collecting information of the four aspects of the CDAMA system. It then summarizes and analyzes the various governments' approaches to the CDAMA system applied by different countries and continents based on the app overview. We found that governments' priority between national safety (i.e., public health in this study) and citizen privacy is different in terms of their national approaches for CDAMA. For example, governments of Asian countries are more intrusive and hold a stricter attitude in their national CDAMA approach than countries elsewhere. Our study has contributions both theoretically and practically. Theoretically, it fills the literature gap about data management by discussing the data management in governments; practically, the study provides the background information as well as implications for future debates and discussions on governments' data management system and citizen data use.

PurposeThis study aims to investigate the configurational effects of five rules – artificial intelligence (AI)-based hiring decision transparency, consistency, voice, explainability and human involvement – on applicants' procedural justice perception (APJP) and applicants' interactional justice perception (AIJP). In addition, this study examines whether the identified configurations could further enhance applicants' organisational commitment (OC).Design/methodology/approachDrawing on the justice model of applicants' reactions, the authors conducted a longitudinal survey of 254 newly recruited employees from 36 Chinese companies that utilise AI in their hiring. The authors employed fuzzy-set qualitative comparative analysis (fsQCA) to determine which configurations could improve APJP and AIJP, and the authors used propensity score matching (PSM) to analyse the effects of these configurations on OC.FindingsThe fsQCA generates three patterns involving five configurations that could improve APJP and AIJP. For pattern 1, when AI-based recruitment with high interpersonal rule (AI human involvement) aims for applicants' justice perception (AJP) through the combination of high informational rule (AI explainability) and high procedural rule (AI voice), there must be high levels of AI consistency and AI voice to complement AI explainability, and only this pattern of configurations can further enhance OC. In pattern 2, for the combination of high informational rule (AI explainability) and low procedural rule (absent AI voice), AI recruitment with high interpersonal rule (AI human involvement) should focus on AI transparency and AI explainability rather than the implementation of AI voice. In pattern 3, a mere combination of procedural rules could sufficiently improve AIJP.Originality/valueThis study, which involved real applicants, is one of the few empirical studies to explore the mechanisms behind the impact of AI hiring decisions on AJP and OC, and the findings may inform researchers and managers on how to best utilise AI to make hiring decisions.