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Kun Yu [4]Kunpeng Yu [1]
  1.  8
    Beyond Social Exchange: Career Adaptability Linking Work Stressors and Counterproductive Work Behavior.Kun Yu, Chang Liu & Yuhui Li - 2019 - Frontiers in Psychology 10.
  2.  14
    Do Corporate Social Responsibility Reports Convey Value Relevant Information? Evidence from Report Readability and Tone.Shuili Du & Kun Yu - 2021 - Journal of Business Ethics 172 (2):253-274.
    Corporate social responsibility reporting is becoming mainstream, yet there is limited research on whether and how CSR reports communicate value relevant information. We examine the effects of CSR report readability and tone on future CSR performance and the market reaction around the release of CSR reports. Using a hand-collected dataset of Fortune 500 companies that published stand-alone CSR reports from 2002 to 2014, we find that 1-year-ahead CSR performance is positively associated with the changes in both CSR report readability and (...)
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  3. Perceived Overqualification and Intensive Smartphone Use: A Moderated Mediation Model.Xiongliang Peng, Kun Yu, Kairui Zhang, Hanbing Xue & Jianfeng Peng - 2022 - Frontiers in Psychology 13.
    Previous studies only considered the impact of personal or environmental factors on intensive smartphone use separately, while largely ignoring the impact of person-environment fit on it. Drawing on the P-E fit theory, we proposed that perceived overqualification, an indicator of person-job misfit, positively affects intensive smartphone use via job boredom, and affective commitment moderates this indirect effect. We examined our hypotheses using four-wave time-lag data of 450 workers from 62 teams. The results revealed that POQ raised job boredom of an (...)
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  4.  6
    Geospatial Analysis of Urban Expansion Using Remote Sensing Methods and Data: A Case Study of Yangtze River Delta, China.Wei Sun, Jie Shan, Zhiming Wang, Lei Wang, Dianmei Lu, Zhifeng Jin & Kun Yu - 2020 - Complexity 2020:1-12.
    Land use in the Yangtze River Delta in 2000 and 2017 was classified by the visual interpretation of Landsat satellite images. Then, these images were overlain with economic and physical geographical data to analyze the urban spatial expansion pattern and its physical constraints and socioeconomic influence factors by employing a combination of transition matrix analysis, expansion intensity indices, and equal-fan analysis. The results showed that from 2000 to 2017, there was a significant increase in built-up areas in the region, with (...)
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