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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 |