Honors Theses
Date of Award
Spring 5-5-2023
Document Type
Undergraduate Thesis
Department
Management
First Advisor
Milorad Novicevic
Second Advisor
Melissa Cinelli
Third Advisor
Gang Guo
Relational Format
Dissertation/Thesis
Abstract
The construct of individual accountability has been tested by two prior studies including Frink et al. (2018), finding that individual accountability is a second-order construct in which the components focus, intensity, and salience are loaded, as well as Verwaeren and Nijstad (2021) who found that individual accountability focus is a two-factor construct (process and outcome). Contrary to these prior studies, I examine the dimensionality of individual accountability in gig work, as gig work is a different context than that of the previous research, which focused on traditional employees. In my research study, I make two competing hypotheses questioning whether individual accountability is a single-factor, or a two-factor construct. I tested these propositions empirically by analyzing the data collected from Amazon Turk gig workers using the survey method. The propositions tested in one study were tested with the data from one set of survey instruments from another study, and then translated into two different surveys in terms of language: Mandarin and English. This created an additional research question: does the language of the survey influence the factor structure of the individual accountability construct? After conducting factor analysis to assess the factor structure of my survey, the results of my study supported the hypothesis that the survey language does not impact the construct dimensionality and that individual accountability is a uni-dimensional construct.
Recommended Citation
Ray, Cassaday Brennan, "Individual Accountability of Amazon Turk Gig Workers: Comparing English and Mandarin Construct Operationalizations" (2023). Honors Theses. 2922.
https://egrove.olemiss.edu/hon_thesis/2922
Accessibility Status
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Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Comments
This is the first empirical accountability study on gig workers. Additionally, Amazon Turk workers are unlike other gig workers because they are Knowledge workers who work in the virtually socially impoverished domain.