Abstract: The gig-economy literature is rife with conflicting accounts of autonomy and em ...
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Abstract: The gig-economy literature is rife with conflicting accounts of autonomy and empowerment versus exploitation and marginalization. To understand such contradictions, it is necessary to measure perceptions of algorithmic autonomy-support (PAAS); yet no validated instruments exist. To address this gap, we develop a theoretically-based measure for PAAS using Mackenzie et al.'s (2011) well-cited scale development process. To execute our scale development process, interviews were conducted with Uber drivers to support item generation; this was followed by contentvalidation with subject matter experts to develop and validate our instrument. Lastly, statistical validation was conducted using data collected from a total sample of 435 Uber drivers. The results of our survey confirm that: (i) PAAS is a second-order formative measure with four first-order reflective constructs; (ii) our 13-item scale demonstrates adequate psychometric properties; and (iii) PAAS is positively, and significantly, related to perceived organizational support and job satisfaction. Research contributions and applications are discussed.
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