The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Zones of Tolerance: Alternative Scales for Measuring Information Systems Service Quality1
Abstract
The expectation norm of Information Systems SERVQUAL has been challenged on both conceptual and empirical grounds, drawing into question the instrument’s practical value. To address the criticism that the original IS SERVQUAL’s expectation measure is ambiguous, we test a new set of scales that posits that service expectations exist at two levels that IS customers use as a basis to assess IS service quality: (1) desired service: the level of IS service desired, and (2) adequate service: the minimum level of IS service customers are willing to accept. Defining these two levels is a “zone of tolerance” (ZOT) that represents the range of IS service performance a customer would consider satisfactory. In other words, IS customer service expectations are characterized by a range of levels, rather than a single expectation point. This research note adapts the ZOT and the generic operational definition from marketing to the IS field, assessing its psychometric properties. Our findings conclude that the instrument shows validity of a four-dimension IS ZOT SERVQUAL measure for desired, adequate, and perceived service quality levels, identifying 18 commonly applicable question items. This measure addresses past criticism while offering a practical diagnostic tool.
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Cites
SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality
Parasuraman, A., Berry, L. L., & Zeithaml, V. A. (1988) · Zenodo · doi:10.5281/zenodo.14579729 · Cited by 21,118
A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions
Oliver, R. L. (1980) · Journal of Marketing Research · doi:10.1177/002224378001700405 · Cited by 14,494
An Investigation into the Determinants of Customer Satisfaction
Churchill, G. A., & Surprenant, C. (1982) · Journal of Marketing Research · doi:10.2307/3151722 · Cited by 2,914
Representing and Testing Organizational Theories: A Holistic Construal
Bagozzi, R. P., & Phillips, L. W. (1982) · Administrative Science Quarterly · doi:10.2307/2392322 · Cited by 2,064
Cited by
Organizational impact of system quality, information quality, and service quality
Gorla, N., Somers, T. M., & Wong, B. (2010) · The Journal of Strategic Information Systems · doi:10.1016/j.jsis.2010.05.001 · Cited by 965
Service innovation in the digital age: Key contributions and future directions
Barrett, M., Davidson, E., Prabhu, J., & Vargo, S. L. (2015) · MIS Quarterly · doi:10.25300/misq/2015/39:1.03 · Cited by 956
Cenfetelli, R. T., Benbasat, I., & Al-Natour, S. (2008) · Information Systems Research · doi:10.1287/isre.1070.0163 · Cited by 272
Can AI chatbots help retain customers? Impact of AI service quality on customer loyalty
Chen, Q., Lu, Y., Gong, Y., & Xiong, J. (2023) · Internet Research · doi:10.1108/intr-09-2021-0686 · Cited by 260
Hammoud, J., Bizri, R. M., & El Baba, I. (2018) · Sage Open · doi:10.1177/2158244018790633 · Cited by 238
Metadata
- Authors
- Kettinger, W. J., & Lee, C. C.
- Venue
- MIS Quarterly
- Publisher
- MIS Quarterly
- Published
- 2005-12-01
- Volume
- 29
- Issue
- 4
- Pages
- 607-623
- ISSN
- 0276-7783 (ISSN-L)
- 2162-9730
- OpenAlex
- W1565838829
- Cited by
- 255
- References
- 4
- FWCI
- 15.20
- Type
- journal article
- Language
- en
- Open access
- closed
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