Evidence map›Paper›PMID 38606117›Full record

ArticleFrontiers in sports and active living2024

Artificial intelligence development and dissemination impact on the sports industry labor market.

Ekaterina Glebova, Dag Øivind Madsen, Paulína Mihaľová, Gábor Géczi, Alexandra Mittelman, Bojan Jorgič

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Ekaterina GlebovaUniversité Paris-Saclay CIAMS, Orsay, France.
Dag Øivind MadsenUSN School of Business, University of South-Eastern Norway, Hønefoss, Norway.
Paulína MihaľováFaculty of Management, Comenius University Bratislava, Bratislava, Slovakia.
Gábor GécziDepartment of Sport Management, Hungarian University of Sports Sciences (HUSS), Budapest, Hungary.
Alexandra MittelmanFaculty of Management, Comenius University Bratislava, Bratislava, Slovakia.
Bojan JorgičFaculty of Management, Comenius University Bratislava, Bratislava, Slovakia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The objective of this study is to explore the impact of artificial intelligence (AI) development on the sports industry labor market, the ways in which AI has influenced the demand for labor, created new job opportunities, and impacted existing job roles. Methodology: It refers to the inductive approach in the spirit technological determinism theory. It is based on the literature review and written qualitative, semi-structured interviews ( Findings: The labor market implications of AI in the sports industry are multifaceted. New job roles are likely to emerge, demanding a blend of AI expertise, data-analysis skills, and sports domain knowledge. Professionals in roles such as sports data analysts and marketing experts may find increasing opportunities. However, certain jobs undergo transformation as AI automates routine tasks. It requires individuals to upskill or transition to roles that require a deeper understanding of AI. This necessitates the creation of responsibilities focused on ethical AI governance and oversight. Originality: It is important to research the impact of AI dissemination on the sports industry labor market in a holistic manner because the effects of AI are complex and far-reaching. While there are potential benefits to the implementation of AI, there are also potential risks and challenges that need to be addressed, the implementation of AI in the sports industry could have broader social and ethical implications that need to be considered.

Indexed as

AIartificial intelligenceemployment & careerjob rolelabour marketsportstechnological transformationworkforce

Identifiers

PMID38606117
PMCPMC11007172

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.