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Chi-Sum Wong
Researcher at The Chinese University of Hong Kong
Publications - 80
Citations - 8882
Chi-Sum Wong is an academic researcher from The Chinese University of Hong Kong. The author has contributed to research in topics: Emotional intelligence & Job performance. The author has an hindex of 33, co-authored 77 publications receiving 7911 citations. Previous affiliations of Chi-Sum Wong include Hong Kong University of Science and Technology.
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Development and Validation of a Forced Choice Emotional Intelligence Measure for Chinese Respondents in Hong Kong
TL;DR: In this paper, the authors developed an alternative EI measure in this series of four studies using forced choice items, which indicated that this forced choice EI-scale had acceptable convergent, discriminant and predictive validity using life satisfaction, job performance, and job satisfaction as criterion variables.
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Testing Reciprocal Relations by Nonrecursive Structuralequation Models Using Cross-Sectional Data:
Chi-Sum Wong,Kenneth S. Law +1 more
TL;DR: In this paper, a cross-sectional non-recursive model is used as an approximation of the cross-lagged reciprocal effects between two constructs to test possible reciprocal relations between constructs.
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Affective organizational commitment of workers in Chinese joint ventures
TL;DR: In this paper, the authors examined the factors affecting joint venture employees' affective commitment in the Peoples' Republic of China and found that trust in organization mediates the relationships between distributive justice, procedural justice, perceived job security, and perceived job commitment.
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A longitudinal study of the job perception–job satisfaction relationship: A test of the three alternative specifications
TL;DR: In this article, a longitudinal design was employed to examine the relationship between job perception and the different components of job satisfaction (i.e. overall, intrinsic and extrinsic) with data collected over a two-year time span.
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On the Importance of Conducting Construct-Level Analysis for Multidimensional Constructs in Theory Development and Testing:
TL;DR: In this paper, data from two reported management studies are reanalyzed to show that different conclusions might be arrived when analyses are conducted at the construct rather than the dimension level, especially when the multidimensional construct is defined under the latent model.