The DOI matches its Crossref record.
Ignorant Theory and Knowledgeable Workers: Interrogating the Connections between Knowledge, Skills and Services
Abstract
This article builds on recent critiques of the knowledge economy to argue that key growth areas in future employment will be in low level service jobs rather than knowledge work as currently understood. The article discusses the knowledge, skills and competencies involved in interactive service work. It suggests that knowledge which is contextual, social or tacit has been taken to be of lesser value in relation to competitive advantage. It highlights the contrast, therefore, between the growth in interactive service work and the focus of the knowledge management literature on a small sub‐set of total employment. Two case‐studies of interactive service work, one drawn from a range of service sectors and the other from a call‐centre setting, provide empirical material which highlights the skills required by em‐ployers in this area. Technical skills were seen as less important than aesthetic and social skills. These cases highlight the management of social skills and competencies as critical to interactive service work. Workers need to develop an understanding of themselves that allows them to consciously use their emotions and corporeality to influence the quality of the service. This leads to the conclusion that the interactive service sector should not be conflated with knowledge work. Rather, it is more important to focus on the broader need for knowledgeability in work, and so broaden understanding of labour in the contemporary workplace.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A Stupidity‐Based Theory of Organizations
Alvesson, M., & Spicer, A. (2012) · Journal of Management Studies · doi:10.1111/j.1467-6486.2012.01072.x · Cited by 534
Measuring knowledge worker productivity: A taxonomy
Ramírez, Y. W., & Nembhard, D. A. (2004) · Journal of Intellectual Capital · doi:10.1108/14691930410567040 · Cited by 255
High-Touch and Here-to-Stay: Future Skills Demands in US Low Wage Service Occupations
Gatta, M., Boushey, H., & Appelbaum, E. (2009) · Sociology · doi:10.1177/0038038509340735 · Cited by 75
Metadata
- Authors
- Thompson, P., Warhurst, C., & Callaghan, G.
- Venue
- Journal of Management Studies
- Publisher
- Wiley
- Published
- 2001-11
- Volume
- 38
- Issue
- 7
- Pages
- 923-942
- ISSN
- 0022-2380 (ISSN-L)
- 1467-6486
- OpenAlex
- W2100560451
- Cited by
- 255
- References
- 0
- FWCI
- 34.00
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.