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Digital Technologies’ Transformation of US Store-Based Retail Work: Semi-structured Interviews with Workers and Managers, 2022-2023
Creator
Tilly, C, UCLA
Carré, F, University of Massachusetts Boston
Study number / PID
857165 (UKDA)
10.5255/UKDA-SN-857165 (DOI)
Data access
Restricted
Series
Not available
Abstract
This dataset consists of interview notes on 63 semi-structured, one-hour interviews of store-based retail employees (frontline workers and managers) in various locations in the USA (with the exception of two in Canada), conducted August 2022 through August 2023. The interviews focus on technological change and how it is affecting the labor process. However, they also inquire about the respondents’ career trajectories, pay history, and aspirations for future mobility; the details of their job functions and how those functions are organized; how labor in the store is supervised; any forms of worker collective action; the respondent’s subjective experience of work and supervision; and significant changes in any of these aspects of work. Respondents were recruited via a commercial online interviewee recruitment platform, User Interviews https://www.userinterviews.com/ . The resulting sample is by no means a representative sample of US store-based retail workers. But we believe it is qualitatively representative of more senior employees at larger-unit grocery and general merchandise stores in the US, with a sprinkling of respondents from other types of stores that offer some limited comparisons.The Digital Futures at Work Research Centre (Dig.IT) will establish itself as an essential resource for those wanting to understand how new digital technologies are profoundly reshaping the world of work. Digitalisation is a topical feature of contemporary debate. For evangelists, technology offers new opportunities for those seeking work and increased flexibility and autonomy for those in work. More pessimistic visions, in contrast, see a future where jobs are either destroyed by robots or degraded through increasingly precarious contracts and computerised monitoring. Take Uber as an example: the company claims it is creating opportunities for self-employed entrepreneurs; while workers' groups increasingly challenge such claims through legal means to improve their rights at...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
02/08/2022 - 01/09/2023
Country
United States
Time dimension
Not available
Analysis unit
Individual
Universe
Not available
Sampling procedure
Not available
Kind of data
Text
Data collection mode
The data was collected through semi-structured interviews with store-based retail employees.
Funding information
Grant number
ES/S012532/1
Access
Publisher
UK Data Service
Publication year
2024
Terms of data access
The UK Data Archive has granted a dissemination embargo. The embargo will end on 1 July 2026 and the data will then be available in accordance with the access level selected.