Table A1.

To what extent do the following factors influence your decision not to use AI applications in your work? 0 (no effect), 1 (slight effect), 2 (moderate effect) and 3 (very strong effect)

CodeItem (abbreviated)AMO dimensionClassification rationaleIndicative sources
A1Uncertainty about one’s own competenceAbilitySelf-efficacy beliefs operate as a capability barrier independently of objective skillBandura (1997); Ahmed et al. (2023) 
A2Limited knowledge of available applicationsAbilityAwareness of task-relevant tools is an individual knowledge resource, a precondition for useSchedler et al. (2019) 
A3Perceived difficulty of useAbilityPerceived ease of use reflects the individual’s capability to operate the toolDavis (1989); Schedler et al. (2019) 
A4Previous negative experiencesAbilityPrior mastery experiences shape capability beliefs and learning readinessBandura (1997) 
M1Unclear concrete benefitsMotivationPerceived usefulness drives the willingness to invest effort; the item measures perceived value, separate from whether suitable tools exist (O3)Davis (1989); Pandey (2026) 
M2Doubts about accuracy and reliabilityMotivationTrust in output quality conditions the inclination to engageGefen et al. (2003); Liebig et al. (2024) 
M3Security and privacy concernsMotivationPerceived risk reduces willingness to act, even when use is possibleSun and Medaglia (2019); Apell and Eriksson (2023) 
M4Ethical concernsMotivationReservations about justifiability reduce the inclination to use AI in one’s own tasksAhmed et al. (2023); Sun and Medaglia (2019) 
M5Concern about substantial task changeMotivationAnticipated disruption to one’s work weakens the desire to engageBullock et al. (2020) 
M6Fear of expertise devaluationMotivationThreats to professional identity act as a motivational inhibitorAhmed et al. (2023); Bullock et al. (2020) 
O1Insufficient time to learnOpportunityTime allocation is an organizational resource decision outside the individual’s controlAhmed et al. (2023); Gullmark (2021) 
O2Absence of organizational guidelinesOpportunityFormal policies constitute an institutional permission structureClarke (2020); Eneman et al. (2022) 
O3Lack of suitable applications in the organizationOpportunityTool provision is an organizational resource condition; the item concerns availability, separate from the individual’s awareness of tools (A2)Gullmark (2021); Madan and Ashok (2023) 
O4Inadequate trainingOpportunityTraining provision is an organizational support structure; the resulting skill, in contrast to the provision, belongs to abilityBernhard and Wihlborg (2022); Bannykh and Kostina (2021) 
O5Limited colleague or supervisor encouragementOpportunitySocial endorsement in the work environment enables or withholds occasions for useGraf-Vlachy et al. (2018); Van der Voet et al. (2016) 
O6Inadequate peer supportOpportunityPeer-based support structures are an organizational learning conditionBernhard and Wihlborg (2022); Lidman et al. (2022) 
O7Materials not in digital formatOpportunityData infrastructure is an organizational precondition for the use of AIMadan and Ashok (2023); Sun and Medaglia (2019) 
O8Lack of technical IT supportOpportunityTechnical support functions are enabling conditions provided by the organizationAlshahrani et al. (2025); Van der Voet et al. (2016) 
O9Uncertainty about accountabilityOpportunityAccountability allocation is a governance condition set by the institutional environment, beyond the reach of individual dispositionBannister and Connolly (2020); Liebig et al. (2024) 
Note.

The classification follows published AMO practice, in which opportunity denotes the work environment as perceived by the employee (Bos-Nehles et al., 2023; Marin-Garcia and Tomas, 2016). For borderline items, the rationale column states the distinction applied

Source(s): Authors’ own work

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