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Empirical identification of the chief digital officer role: A latent Dirichlet allocation approach

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dc.title Empirical identification of the chief digital officer role: A latent Dirichlet allocation approach en
dc.contributor.author Culasso, Francesca
dc.contributor.author Gavurová, Beáta
dc.contributor.author Crocco, Edoardo
dc.contributor.author Giacosa, Elisa
dc.relation.ispartof Journal of Business Research
dc.identifier.issn 0148-2963 Scopus Sources, Sherpa/RoMEO, JCR
dc.identifier.issn 1873-7978 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2023
utb.relation.volume 154
dc.type article
dc.language.iso en
dc.publisher Elsevier Inc.
dc.identifier.doi 10.1016/j.jbusres.2022.113301
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S0148296322007561
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S0148296322007561/pdfft?md5=958e95aec990d98e8a17aca30f64d547&pid=1-s2.0-S0148296322007561-main.pdf
dc.subject chief digital officer en
dc.subject latent dirichlet allocation en
dc.subject job profiling en
dc.subject digital transformation en
dc.subject strategic change en
dc.description.abstract This study examines the global demand for Chief Digital Officers (CDOs) to determine a universal CDO archetype in terms of competencies and tasks. It uses Bayesian statistics and Latent Dirichlet Allocation (LDA) topic modeling to measure multiple dimensions in a sample of 518 job postings for CDO positions. Findings show the hybrid nature of newly appointed CDOs, who feature a mixture of both business administration and technological skills. Further, the study highlights the pivotal role of CDOs in terms of strategic change in companies. The study has three major contributions. First, it showcases the value of LDA in job profiling research. Second, it bridges the existing knowledge gaps in CDO literature with empirical evidence from a global dataset and identifies a core CDO profile based on data extracted through LDA. Third, it illustrates the current market requirements for CDO positions, which is useful to both companies and candidates. © 2022 Elsevier Inc. en
utb.faculty Faculty of Management and Economics
dc.identifier.uri http://hdl.handle.net/10563/1011151
utb.identifier.obdid 43883651
utb.identifier.scopus 2-s2.0-85138548460
utb.identifier.wok 000868580300011
utb.identifier.coden JBRED
utb.source j-scopus
dc.date.accessioned 2022-10-18T12:15:15Z
dc.date.available 2022-10-18T12:15:15Z
utb.ou Centre for Applied Economic Research
utb.contributor.internalauthor Gavurová, Beáta
utb.fulltext.affiliation Francesca Culasso , Beata Gavurova * , Edoardo Crocco , Elisa Giacosa a University of Turin, Turin, Piedmont, Italy b Center for Applied Economic Research, Faculty of Management and Economics, Tomas Bata University in Zlin, Mostni 5139, 760 01 Zlin, Czech Republic c University of Turin, Turin, Piedmont, Italy d University of Turin, Turin, Piedmont, Italy * Corresponding author. E-mail addresses: francesca.culasso@unito.it (F. Culasso), gavurova@utb.cz (B. Gavurova), edoardo.crocco@unito.it (E. Crocco), elisa.giacosa@unito.it (E. Giacosa).
utb.fulltext.dates Received 30 January 2022 Received in revised form 30 August 2022 Accepted 2 September 2022 Available online 22 September 2022
utb.fulltext.sponsorship None.
utb.wos.affiliation [Gavurova, Beata] Univ Turin, Turin, Piedmont, Italy; Tomas Bata Univ Zlin, Fac Management & Econ, Ctr Appl Econ Res, Mostni 5139, Zlin 76001, Czech Republic
utb.scopus.affiliation University of Turin, Piedmont, Turin, Italy; Center for Applied Economic Research, Faculty of Management and Economics, Tomas Bata University in Zlin, Mostni 5139, Zlin, 760 01, Czech Republic
utb.fulltext.projects -
utb.fulltext.faculty Faculty of Management and Economics
utb.fulltext.ou Centre for Applied Economic Research
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