{"title":"The impact of cultural differences on the success of elite labor migration—Evidence from professional soccer","authors":"Joost Bosker, Marc Gürtler","doi":"10.1007/s10479-024-06200-4","DOIUrl":null,"url":null,"abstract":"<div><p>The literature finds that cultural differences have a negative impact on the success of international labor migration. However, modeling cultural effects requires a variety of individual-level, firm-level and country-level data that are not sufficiently considered in the literature. Precisely, previous migration experiences are not taken into account and the culture effect is not isolated from adaptation effects that occur with any change of employer. We find that an identified culture effect is biased if such data are not considered. To take these aspects into account, we utilize soccer data with its abundance of single player information and leverage the approaches established in Operations Research to model soccer player performance. To this end, we extend a prominent mixed-effects model to fit the case of international migration and find contrary results compared to the literature: cultural differences positively affect employee value in the long term and we identify a distinct and positive culture effect in the short run for switches between industry-leading firms. Finally, we show that our results are not driven by peculiarities of soccer player data by using a reduced model without isolating general adaptation difficulties from cultural differences. In this (too) simple model, in accordance with the literature, the biased negative culture effect emerges.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"341 2-3","pages":"781 - 824"},"PeriodicalIF":4.4000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-024-06200-4.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Operations Research","FirstCategoryId":"91","ListUrlMain":"https://link.springer.com/article/10.1007/s10479-024-06200-4","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The literature finds that cultural differences have a negative impact on the success of international labor migration. However, modeling cultural effects requires a variety of individual-level, firm-level and country-level data that are not sufficiently considered in the literature. Precisely, previous migration experiences are not taken into account and the culture effect is not isolated from adaptation effects that occur with any change of employer. We find that an identified culture effect is biased if such data are not considered. To take these aspects into account, we utilize soccer data with its abundance of single player information and leverage the approaches established in Operations Research to model soccer player performance. To this end, we extend a prominent mixed-effects model to fit the case of international migration and find contrary results compared to the literature: cultural differences positively affect employee value in the long term and we identify a distinct and positive culture effect in the short run for switches between industry-leading firms. Finally, we show that our results are not driven by peculiarities of soccer player data by using a reduced model without isolating general adaptation difficulties from cultural differences. In this (too) simple model, in accordance with the literature, the biased negative culture effect emerges.
期刊介绍:
The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications.
In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.