Using Data to Better Understand How to Manage People of Different Cultures
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Moon, Taewon | - |
dc.contributor.author | T.W. | - |
dc.contributor.author | Hamner | - |
dc.contributor.author | M. | - |
dc.date.available | 2021-03-17T09:41:11Z | - |
dc.date.created | 2021-02-26 | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 1877-0509 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hongik/handle/2020.sw.hongik/13228 | - |
dc.description.abstract | The relentless pace of globalization is a critical factor to consider in the business world. Employees are exposed to ever increasingly culturally diverse workforces. Since an individual's emotions are greatly influenced by culture, how one copes with and manages emotions differ largely based on one's ethnic and national background. That can be extended to include how one manages others. That is, a manager's consideration of specific, culturally patterned emotional expressions and behaviors of each member in their workforce has been found to correlate directly with the efficacy of administrating people of varying cultural backgrounds. In short, this study builds on previous research showing that emotional intelligence (EI), also known as emotional quotient (EQ), depends on national culture and reports data acquired to assess the causal relationship between EI and professional achievements such as salary and job position, as well as other demographic variables such as education level, age and gender. (c) 2017 The Authors. Published by Elsevier B.V. | - |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.title | Using Data to Better Understand How to Manage People of Different Cultures | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Moon, Taewon | - |
dc.identifier.doi | 10.1016/j.procs.2017.11.147 | - |
dc.identifier.scopusid | 2-s2.0-85037696647 | - |
dc.identifier.wosid | 000426436500005 | - |
dc.identifier.bibliographicCitation | Procedia Computer Science, v.118, pp.48 - 66 | - |
dc.relation.isPartOf | Procedia Computer Science | - |
dc.citation.title | Procedia Computer Science | - |
dc.citation.volume | 118 | - |
dc.citation.startPage | 48 | - |
dc.citation.endPage | 66 | - |
dc.type.rims | ART | - |
dc.type.docType | Proceedings Paper | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Mathematical & Computational Biology | - |
dc.relation.journalResearchArea | Mathematical Methods In Social Sciences | - |
dc.relation.journalResearchArea | Mathematics | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Theory & Methods | - |
dc.relation.journalWebOfScienceCategory | Mathematical & Computational Biology | - |
dc.relation.journalWebOfScienceCategory | Social Sciences, Mathematical Methods | - |
dc.relation.journalWebOfScienceCategory | Statistics & Probability | - |
dc.subject.keywordAuthor | Emotional Intelligence | - |
dc.subject.keywordAuthor | Motivation | - |
dc.subject.keywordAuthor | Culture | - |
dc.subject.keywordAuthor | Cultural Intelligence | - |
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