The Innovation-to-Occupations Ontology: Linking Business Transformation Initiatives to Occupations and Skills

Elia, D; Chen, F; Zowghi, D; Rizoiu, MA

The Innovation-to-Occupations Ontology: Linking Business Transformation Initiatives to Occupations and Skills

Elia, D Chen, F

Zowghi, D

Rizoiu, MA

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Publication Type:: Conference Proceeding
Citation:: International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies", 2023
Issue Date:: 2023-01-01

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Field	Value	Language
dc.contributor.author	Elia, D
dc.contributor.author	Chen, F https://orcid.org/0000-0003-4971-8729
dc.contributor.author	Zowghi, D https://orcid.org/0000-0002-6051-0155
dc.contributor.author	Rizoiu, MA
dc.date.accessioned	2024-07-09T02:06:14Z
dc.date.available	2024-07-09T02:06:14Z
dc.date.issued	2023-01-01
dc.identifier.citation	International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies", 2023
dc.identifier.uri	http://hdl.handle.net/10453/179744
dc.description.abstract	The fast adoption of new technologies forces companies to continuously adapt their operations making it harder to predict workforce requirements. Several recent studies have attempted to predict the emergence of new roles and skills in the labour market from online job ads. This paper aims to present a novel ontology linking business transformation initiatives to occupations and an approach to automatically populating it by leveraging embeddings extracted from job ads and Wikipedia pages on business transformation and emerging technologies topics. To our knowledge, no previous research explicitly links business transformation initiatives, like the adoption of new technologies or the entry into new markets, to the roles needed. Our approach successfully matches occupations to transformation initiatives under ten different scenarios, five linked to technology adoption and five related to business. This framework presents an innovative approach to guide enterprises and educational institutions on the workforce requirements for specific business transformation initiatives.
dc.language	en
dc.relation.ispartof	International Conference on Information Systems, ICIS 2023: "Rising like a Phoenix: Emerging from the Pandemic and Reshaping Human Endeavors with Digital Technologies"
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	The Innovation-to-Occupations Ontology: Linking Business Transformation Initiatives to Occupations and Skills
dc.type	Conference Proceeding
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/DVC (Research)
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
pubs.organisational-group	University of Technology Sydney/Strength - STEM Education Futures
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	University of Technology Sydney/DVC (Research)/Graduate Research School
utslib.copyright.status	recently_added	*
dc.date.updated	2024-07-09T02:06:12Z
pubs.publication-status	Published

Abstract:

The fast adoption of new technologies forces companies to continuously adapt their operations making it harder to predict workforce requirements. Several recent studies have attempted to predict the emergence of new roles and skills in the labour market from online job ads. This paper aims to present a novel ontology linking business transformation initiatives to occupations and an approach to automatically populating it by leveraging embeddings extracted from job ads and Wikipedia pages on business transformation and emerging technologies topics. To our knowledge, no previous research explicitly links business transformation initiatives, like the adoption of new technologies or the entry into new markets, to the roles needed. Our approach successfully matches occupations to transformation initiatives under ten different scenarios, five linked to technology adoption and five related to business. This framework presents an innovative approach to guide enterprises and educational institutions on the workforce requirements for specific business transformation initiatives.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/179744