Evidence map›Paper›PMID 42856718›Full record

ArticleFrontiers in public health2026

The moderating role of techno-related control in the relationship between algorithmic management and technostress among sport science professionals.

Tayfun Kara, Oğuzhan Gül, Yunus Şahinler, Furkan Çamiçi, Orhan Gök, Muzaffer Toprak Keskin, Mahmut Ulukan, Mehmet Bayansalduz, Faik Öz

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Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Tayfun KaraDepartment of Sport Management, Faculty of Sport Sciences, Kahramanmaraş Sütçü İmam University, Kahramanmaraş, Türkiye.
Oğuzhan GülDepartment of Health, Culture and Sports, Sivas Cumhuriyet University, Sivas, Türkiye.
Yunus ŞahinlerDepartment of Exercise and Sport Sciences, Faculty of Sport Sciences, İstanbul Gelişim University, İstanbul, Türkiye.
Furkan ÇamiçiDivision of Movement and Training Sciences, Department of Coaching Education, Faculty of Sport Sciences, Hitit University, Çorum, Türkiye.
Orhan GökDepartment of Sport Management, School of Physical Education and Sports, Osmaniye Korkut Ata University, Osmaniye, Türkiye.
Muzaffer Toprak KeskinDepartment of Coaching Education, Faculty of Sport Sciences, Nevşehir Hacı Bektaş Veli University, Nevşehir, Türkiye.
Mahmut UlukanDepartment of Recreation, Faculty of Sports Sciences, Istanbul Gelisim University, İstanbul, Türkiye.
Mehmet BayansalduzDepartment of Sport Management, Faculty of Sport Sciences, İstanbul Topkapı University, İstanbul, Türkiye.
Faik ÖzDepartment of Exercise and Sport Sciences, Faculty of Sport Sciences, Avrasya University, Trabzon, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The increasing integration of digital and artificial intelligence-supported systems into sport organizations has transformed managerial processes such as performance monitoring, evaluation, planning, scheduling, and decision-making. This study examined the association between algorithmic management and technostress among sport science professionals and investigated the moderating role of techno-related control. Methods: A quantitative cross-sectional design was employed with 372 sport science professionals working in sport-related organizations where digital or AI-supported systems were used to perform or support managerial functions. Algorithmic management was assessed using the Algorithmic Management Questionnaire, technostress was measured using the Turkish version of the Technostress Creators Scale, and techno-related control was assessed using the Techno-related Control subscale of the Technology-Related Moderator Scale. The measurement model was evaluated through confirmatory factor analysis, and the hypothesized moderation model was tested using Hayes' PROCESS Macro Model 1. Results: Algorithmic management was positively associated with technostress (B = 0.38, Discussion: These findings suggest that techno-related control may represent a meaningful, although modest, boundary condition in the relationship between algorithmic management and technostress and may help explain differences in how sport science professionals experience technology-mediated managerial demands.

Indexed as

AlgorithmsArtificial IntelligenceSportsCross-Sectional StudiesFemaleHumansMaleSurveys and QuestionnairesTurkeyalgorithmic managementmoderationsport science professionalstechno-related controltechnostress

Identifiers

PMID42856718
PMCPMC13649762

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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.