The DOI matches its OpenAlex record; 51 of the 51 references it cites were found in a registry or an index.
Touch Versus Tech: When Technology Functions as a Barrier or a Benefit to Service Encounters
Open accessAbstract
Interpersonal exchanges between customers and frontline service employees increasingly involve the use of technology, such as point-of-sale terminals, tablets, and kiosks. The present research draws on role and script theories to demonstrate that customer reactions to technology-infused service exchanges depend on the presence of employee rapport. When rapport is present during the exchange, the use of technology functions as an interpersonal barrier preventing the customer from responding in kind to employee rapport-building efforts, thereby decreasing service encounter evaluations. However, during service encounters in which employees are not engaging in rapport building, technology functions as an interpersonal barrier, enabling customers to retreat from the relatively unpleasant service interaction, thereby increasing service encounter evaluations. Two analyses using J.D. Power Guest Satisfaction Index data support the barrier and beneficial effects of technology use during service encounters with and without rapport, respectively. A follow-up experiment replicates this data pattern and identifies psychological discomfort as a key process that governs the effect. For managers, the results demonstrate the inherent incompatibility of initiatives designed to encourage employee–customer rapport with those that introduce technology into frontline service exchanges.
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(2013) · Cited by 44,563
Structural equation models with unobservable variables and measurement error: Algebra and statistics
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800313 · Cited by 13,287
Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?
Buhrmester, M., Kwang, T., & Gosling, S. D. (2011) · Perspectives on Psychological Science · doi:10.1177/1745691610393980 · Cited by 9,996
The Cognitive Structure of Emotions
Ortony, A., Clore, G. L., & Collins, A. (1988) · doi:10.1017/cbo9780511571299 · Cited by 6,208
Five Rules for the Evolution of Cooperation
Nowak, M. A. (2006) · Science · doi:10.1126/science.1133755 · Cited by 5,894
The Service Encounter: Diagnosing Favorable and Unfavorable Incidents
Bitner, M. J., Booms, B. H., & Tetreault, M. S. (1990) · Journal of Marketing · doi:10.2307/1252174 · Cited by 4,860
Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk
Berinsky, A. J., Huber, G. A., & Lenz, G. S. (2012) · Political Analysis · doi:10.1093/pan/mpr057 · Cited by 4,008
The PANAS-X: Manual for the Positive and Negative Affect Schedule - Expanded Form
Watson, D., & Clark, L. A. (1994) · University of Iowa · doi:10.17077/48vt-m4t2 · Cited by 3,700
When moderation is mediated and mediation is moderated.
Muller, D., Judd, C. M., & Yzerbyt, V. Y. (2005) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.89.6.852 · Cited by 3,340
Parasuraman, A. (2000) · Journal of Service Research · doi:10.1177/109467050024001 · Cited by 3,328
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Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00696-0 · Cited by 2,875
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van Doorn, J., Mende, M., Noble, S. M., Hulland, J., Ostrom, A. L., Grewal, D., & Petersen, J. A. (2017) · Journal of Service Research · doi:10.1177/1094670516679272 · Cited by 1,344
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Metadata
- Authors
- Giebelhausen, M. D., Robinson, S. G., Sirianni, N. J., & Brady, M. K.
- Venue
- Journal of Marketing
- Publisher
- SAGE Publishing
- Published
- 2014-04-14
- Volume
- 78
- Issue
- 4
- Pages
- 113-124
- ISSN
- 0022-2429 (ISSN-L)
- OpenAlex
- W2083870950
- Cited by
- 289
- References
- 51
- FWCI
- 34.19
- Type
- journal article
- Language
- en
- Open access
- green
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- Giebelhausen, M. D., Robinson, S. G., Sirianni, N. J., & Brady, M. K. (2014). Touch Versus Tech: When Technology Functions as a Barrier or a Benefit to Service Encounters. Journal of Marketing. https://doi.org/10.1509/jm.12.0056
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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.