Pub Date : 2023-07-24DOI: 10.1007/s11573-023-01169-1
Julia Brasse, Maximilian Förster, Philipp Hühn, J. Klier, Mathias Klier, Lars Moestue
{"title":"Preparing for the future of work: a novel data-driven approach for the identification of future skills","authors":"Julia Brasse, Maximilian Förster, Philipp Hühn, J. Klier, Mathias Klier, Lars Moestue","doi":"10.1007/s11573-023-01169-1","DOIUrl":"https://doi.org/10.1007/s11573-023-01169-1","url":null,"abstract":"","PeriodicalId":94069,"journal":{"name":"Journal of business economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80292732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-07-09DOI: 10.1007/s11573-023-01164-6
Niklas Bergmann
{"title":"Heterogeneity in family firm finance, accounting and tax policies: dimensions, effects and implications for future research","authors":"Niklas Bergmann","doi":"10.1007/s11573-023-01164-6","DOIUrl":"https://doi.org/10.1007/s11573-023-01164-6","url":null,"abstract":"","PeriodicalId":94069,"journal":{"name":"Journal of business economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86064586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-26DOI: 10.1007/s11573-023-01156-6
Nils Goeken, P. Kurz, Winfried Steiner
{"title":"Multimodal preference heterogeneity in choice-based conjoint analysis: a simulation study","authors":"Nils Goeken, P. Kurz, Winfried Steiner","doi":"10.1007/s11573-023-01156-6","DOIUrl":"https://doi.org/10.1007/s11573-023-01156-6","url":null,"abstract":"","PeriodicalId":94069,"journal":{"name":"Journal of business economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87127653","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-26DOI: 10.1007/s11573-023-01157-5
Rainer Niemann, Mariana Sailer
{"title":"Is analytical tax research alive and kicking? Insights from 2000 until 2022","authors":"Rainer Niemann, Mariana Sailer","doi":"10.1007/s11573-023-01157-5","DOIUrl":"https://doi.org/10.1007/s11573-023-01157-5","url":null,"abstract":"","PeriodicalId":94069,"journal":{"name":"Journal of business economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76933756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-21DOI: 10.1007/s11573-023-01167-3
Susan J. Adler, Martina Katharina Schöniger, M. Lichters, M. Sarstedt
{"title":"Forty years of context effect research in marketing: a bibliometric analysis","authors":"Susan J. Adler, Martina Katharina Schöniger, M. Lichters, M. Sarstedt","doi":"10.1007/s11573-023-01167-3","DOIUrl":"https://doi.org/10.1007/s11573-023-01167-3","url":null,"abstract":"","PeriodicalId":94069,"journal":{"name":"Journal of business economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78078160","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-17DOI: 10.1007/s11573-023-01162-8
Sebastian Wagener
{"title":"Accounting for the middle: motivations, extent, and limitations of middle managers’ earnings management","authors":"Sebastian Wagener","doi":"10.1007/s11573-023-01162-8","DOIUrl":"https://doi.org/10.1007/s11573-023-01162-8","url":null,"abstract":"","PeriodicalId":94069,"journal":{"name":"Journal of business economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80019987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-16DOI: 10.1007/s11573-023-01163-7
Eva Dötschel, Sebastian Junge, Tobias Guthmann
{"title":"Location is everything: Explorative and exploitative learning, non-scale free resources, and firm performance of German companies","authors":"Eva Dötschel, Sebastian Junge, Tobias Guthmann","doi":"10.1007/s11573-023-01163-7","DOIUrl":"https://doi.org/10.1007/s11573-023-01163-7","url":null,"abstract":"","PeriodicalId":94069,"journal":{"name":"Journal of business economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80702409","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-08DOI: 10.1007/s11573-023-01161-9
Isabel Kaluza, G. Voigt, Friederike Paetz
{"title":"Empirical studies on the impact of booking status on customers’ choice behavior in online appointment systems","authors":"Isabel Kaluza, G. Voigt, Friederike Paetz","doi":"10.1007/s11573-023-01161-9","DOIUrl":"https://doi.org/10.1007/s11573-023-01161-9","url":null,"abstract":"","PeriodicalId":94069,"journal":{"name":"Journal of business economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76088152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-06-04DOI: 10.1007/s11573-023-01150-y
Jochen Bigus, Aline Grahn, Mustafa Karakaya
{"title":"Determinants of executive pay in small private firms–initial evidence from Germany","authors":"Jochen Bigus, Aline Grahn, Mustafa Karakaya","doi":"10.1007/s11573-023-01150-y","DOIUrl":"https://doi.org/10.1007/s11573-023-01150-y","url":null,"abstract":"","PeriodicalId":94069,"journal":{"name":"Journal of business economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77434412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-05-30DOI: 10.1007/s11573-023-01149-5
Lars Beckmann, Jörn Debener, Johannes Kriebel
Abstract Recent empirical evidence indicates that bond excess returns can be predicted using machine learning models. However, although the predictive power of machine learning models is intriguing, they typically lack transparency. This paper introduces the state-of-the-art explainable artificial intelligence technique SHapley Additive exPlanations (SHAP) to open the black box of these models. Our analysis identifies the key determinants that drive the predictions of bond excess returns produced by machine learning models and recognizes how these determinants relate to bond excess returns. This approach facilitates an economic interpretation of the predictions of bond excess returns made by machine learning models and contributes to a thorough understanding of the determinants of bond excess returns, which is critical for the decisions of market participants and the evaluation of economic theories.
{"title":"Understanding the determinants of bond excess returns using explainable AI","authors":"Lars Beckmann, Jörn Debener, Johannes Kriebel","doi":"10.1007/s11573-023-01149-5","DOIUrl":"https://doi.org/10.1007/s11573-023-01149-5","url":null,"abstract":"Abstract Recent empirical evidence indicates that bond excess returns can be predicted using machine learning models. However, although the predictive power of machine learning models is intriguing, they typically lack transparency. This paper introduces the state-of-the-art explainable artificial intelligence technique SHapley Additive exPlanations (SHAP) to open the black box of these models. Our analysis identifies the key determinants that drive the predictions of bond excess returns produced by machine learning models and recognizes how these determinants relate to bond excess returns. This approach facilitates an economic interpretation of the predictions of bond excess returns made by machine learning models and contributes to a thorough understanding of the determinants of bond excess returns, which is critical for the decisions of market participants and the evaluation of economic theories.","PeriodicalId":94069,"journal":{"name":"Journal of business economics","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-05-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135479096","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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