The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
What Happens When Evaluation Goes Online? Exploring Apparatuses of Valuation in the Travel Sector
Open accessAbstract
Our research focuses on the fast-changing landscape of contemporary social media where user-generated content is increasingly being used to evaluate a wide range of products and services. The move to online valuations is raising important questions about how valuations change when they are produced online by consumers and what outcomes they generate for the organizations being evaluated. To address these questions, we investigate two prominent hotel valuation schemes currently at work in the hospitality industry, and we identify significant differences in their valuation practices and outcomes. We develop a practice-based lens for examining the materiality of valuations, providing a way of understanding the differences we observed in terms of performativity. This lens explains both how valuations are actively produced in ongoing practice and how their production is significantly reconfiguring everyday practices of the organizations being evaluated. We conclude by considering the implications of our findings for research on valuation and organizations.
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“Across a variety of jobs with structured, decomposable sub-tasks or with concrete deliverables that are subject to ratings or evaluation by the crowds of users, the anticipatory quantification aspect of algorithms is bounding the action possibilities available to individual workers and reducing their discretion (Orlikowski and Scott, 2014; Annany, 2016).”
From Working and organizing in the age of the learning algorithm (2018) · cites this paper as Orlikowski and Scott, 2014
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“Thus, learning algorithms come with highly performative effects that arise through their usage and bring about a novel form of evaluation and performance that emphasizes quantified comparison and ranking -based on easily available digital data (Orlikowski and Scott, 2014).”
From Working and organizing in the age of the learning algorithm (2018) · cites this paper as Orlikowski and Scott, 2014
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Orlikowski, W. J. (2000) · Organization Science · doi:10.1287/orsc.11.4.404.14600 · Cited by 4,760
Self-citationSociomaterial practices: exploring technology at work
Orlikowski, W. J. (2007) · Organization Studies · doi:10.1177/0170840607081138 · Cited by 3,248
Self-citationBarley, S. R. (1986) · Administrative Science Quarterly · doi:10.2307/2392767 · Cited by 2,315
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Tried and tested: The impact of online hotel reviews on consumer consideration
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E-mail as a source and symbol of stress
Barley, S. R., Meyerson, D. E., & Grodal, S. (2011) · Organization Science · doi:10.1287/orsc.1100.0573 · Cited by 637
Cited by
Algorithms at Work: The New Contested Terrain of Control
Kellogg, K. C., Valentine, M. A., & Christin, A. (2020) · Academy of Management Annals · doi:10.5465/annals.2018.0174 · Cited by 2,732
Working and organizing in the age of the learning algorithm
Faraj, S., Pachidi, S., & Sayegh, K. (2018) · Information and Organization · doi:10.1016/j.infoandorg.2018.02.005 · Cited by 929
Platform-Dependent Entrepreneurs: Power Asymmetries, Risks, and Strategies in the Platform Economy
Cutolo, D., & Kenney, M. (2021) · Academy of Management Perspectives · doi:10.5465/amp.2019.0103 · Cited by 507
Algorithms as work designers: How algorithmic management influences the design of jobs
Parent-Rocheleau, X., & Parker, S. K. (2022) · Human Resource Management Review · doi:10.1016/j.hrmr.2021.100838 · Cited by 512
Social media and the formation of organizational reputation
Etter, M., Ravasi, D., & Colleoni, E. (2019) · Academy of Management Review · doi:10.5465/amr.2014.0280 · Cited by 428
Metadata
- Authors
- Orlikowski, W. J., & Scott, S. V.
- Venue
- Organization Science
- Published
- 2014-06
- Volume
- 25
- Issue
- 3
- Pages
- 868-891
- ISSN
- 1047-7039 (ISSN-L)
- 1526-5455
- OpenAlex
- W2131092863
- Cited by
- 439
- References
- 14
- FWCI
- 47.40
- Type
- journal article
- Language
- en
- Open access
- green
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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.
