The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
New measurement scales for evaluating perceptions of the technology‐mediated customer service experience
Abstract
Service organizations are increasingly utilizing advanced information and communication technologies, such as the Internet, in hopes of improving the efficiency, cost‐effectiveness, and/or quality of their customer‐facing operations. More of the contact a customer has with the firm is likely to be with the back‐office and, therefore, mediated by technology. While previous operations management research has been important for its contributions to our understanding of customer contact in face‐to‐face settings, considerably less work has been done to improve our understanding of customer contact in what we refer to as technology‐mediated settings (e.g., via telephone, instant messaging (IM), or email). This paper builds upon the service operations management (SOM) literature on customer contact by theoretically defining and empirically developing new multi‐item measurement scales specifically designed for assessing technology‐mediated customer contact. Seminal works on customer contact theory and its empirical measurement are employed to provide a foundation for extending these concepts to technology‐mediated contexts. We also draw upon other important frameworks, including the Service Profit Chain, the Theory of Planned Behavior, and the concept of media/information richness, in order to identify and define our constructs. We follow a rigorous empirical scale development process to create parsimonious sets of survey items that exhibit satisfactory levels of reliability and validity to be useful in advancing SOM empirical research in the emerging Internet‐enabled back‐office.
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
Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200
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
From Intentions to Actions: A Theory of Planned Behavior
Ajzen, I. (1985) · Action Control · doi:10.1007/978-3-642-69746-3_2 · Cited by 19,057
Self-Reports in Organizational Research: Problems and Prospects
Podsakoff, P. M., & Organ, D. W. (1986) · Journal of Management · doi:10.1177/014920638601200408 · Cited by 17,102
Organizational Information Requirements, Media Richness and Structural Design
Daft, R. L., & Lengel, R. H. (1986) · Management Science · doi:10.1287/mnsc.32.5.554 · Cited by 9,868
Reliability and Validity Assessment
Carmines, E., & Zeller, R. (1979) · doi:10.4135/9781412985642 · Cited by 5,884
CHANNEL EXPANSION THEORY AND THE EXPERIENTIAL NATURE OF MEDIA RICHNESS PERCEPTIONS.
Carlson, J. R., & Zmud, R. W. (1999) · Academy of Management Journal · doi:10.2307/257090 · Cited by 1,270
Multidimensional constructs in organizational behavior research: an integrative analytical framework
Edwards, J. R. (2001) · Organizational Research Methods · doi:10.1177/109442810142004 · Cited by 1,128
Research works printed but not linked: 54
- 10.1177/014920638901500204 · DOI · Paper page
- 10.1111/j.1540-5915.1999.tb01614.x · DOI · Paper page
- 10.2307/249763 · DOI · Paper page
- Alavi M., 1997, Using information technology to add value to management education, Academy of Management Journal, 40, 1310, 10.2307/257035 · DOI · Paper page
- 10.1287/mnsc.33.4.525 · DOI · Paper page
- 10.1037/0021-9010.76.5.732 · DOI · Paper page
- 10.2307/2393203 · DOI · Paper page
- Barnes J.G. Dunne P.A. Glynn W.J. 2000. Self‐Service and Technology: Unanticipated and Unintended Effects on Customer Relationships. In: Swartz Teresa A. Iacobucci D. (Eds.) Handbook of Services Marketing and Management Sage Publications Thousand Oaks CA pp. 89–102. · DOI
- 10.1287/orsc.6.4.350 · DOI · Paper page
- Bollen K.A. 1989. Structural Equations with Latent Variables. Wiley New York NY. · DOI · Paper page
- 10.1016/S0272-6963(01)00093-6 · DOI · Paper page
- Chase R.B., 1978, Where does the customer fit in the service operation?, Harvard Business Review, 56, 137
- 10.1287/opre.29.4.698 · DOI · Paper page
- 10.1207/s15327906mbr2501_13 · DOI · Paper page
- Churchill Gilbert A. 1995. Marketing Research: Methodological Foundations Dryden Press Forth Worth TX.
- Coffee P., 2001, E‐CRM: making the customer king?, eWeek, 18, 39
- 10.1016/0024-6301(83)90002-X · DOI
- Daft R.L. Lengel R.H. 1984. Information richness: a new approach to managerial information processing and organizational design. In: Staw B.M. Cummings L. (Eds.) Research in Organizational Behavior JAI Press Greenwich CT pp. 191–233.
- 10.1287/mnsc.35.8.982 · DOI · Paper page
- Edwards Jeffrey R. 2003. Construct Validation in Organizational Behavior Research. In: Greenberg J. (Ed.) Organizational Behavior: The State of the Science 2nd edition. Erlbaum Mahwah NJ.
- Fishbein M. Azjen I. 1975. Belief Attitude Intention and Behavior: An Introduction to Theory and Research. Addison‐Wesley Reading MA.
- Fitzsimmons J.A. Fitzsimmons. M.J. 2004. Service Management: Operations Strategy and Information Technology. Irwin‐McGraw Hill New York NY.
- 10.1016/0272-6963(90)90098-X · DOI · Paper page
- 10.1177/002224378101800104 · DOI · Paper page
- Fowler Jr. F.J. 1988. Survey Research Methods. Sage Publications Newbury Park CA.
- 10.1016/S0272-6963(02)00037-2 · DOI · Paper page
- Gerbing D.W. Anderson J.C. 1993. Monte Carlo Evaluations of Goodness‐of‐Fit Indices for Structural Equation Models. In: Bollen K.A. Long J.S. (Eds.) Testing Structural Equation Models. Sage Publications Newbury Park CA pp. 40–65.
- 10.1016/0272-6963(91)90075-9 · DOI
- 10.1287/msom.3.3.264.9890 · DOI · Paper page
- 10.1177/109467050134002 · DOI
- 10.1016/S0272-6963(98)00051-5 · DOI · Paper page
- Heskett J.L., 1994, Putting the service‐profit chain to work, Harvard Business Review, 72, 164
- Heskett J.L. Sasser W.E. Schlesinger L.A. 2003. The Value Profit Chain The Free Press NY.
- 10.1016/S0272-6963(01)00092-4 · DOI · Paper page
- 10.1108/eb054825 · DOI
- Jöreskog Karl G. 1993. Testing Structural Equation Models. In: Bollen K.A. Long J.S. (Eds.) Testing Structural Equation Models Sage Newbury Park CA pp. 294–316.
- 10.1287/mnsc.41.11.1734 · DOI · Paper page
- 10.1037/0021-9010.76.4.508 · doi:10.1037/0021-9010.76.4.508
- Menor L.J. 2000 An Empirical Investigation of New Service Development Competence and Performance. Unpublished Doctoral Dissertation University of North Carolina Chapel Hill.
- Nunnaly J.C. 1978. Psychometric Theory. McGraw‐Hill New York NY.
- 10.1016/S0040-1625(01)00188-3 · DOI
- Parzinger Monica J. 1999. Factors Influencing Response Rates in Web‐Based Surveys. In: Proceedings of the 1999 Annual Meeting of the Decision Sciences Institute pp. 686–688.
- Pine B.J., 1998, Welcome to the experience economy, Harvard Business Review, 76, 97
- 10.1002/1520-6653(200022)14:3<41::AID-DIR3>3.0.CO;2-M · doi:10.1002/1520-6653(200022)14:3<41::aid-dir3>3.0.co;2-m
- Porter M.E., 1985, How information gives you competitive advantage, Harvard Business Review, 63, 149
- Reichheld F.F., 2000, E‐loyalty: your secret weapon on the web, Harvard Business Review, 78, 105
- Roth A.V. 2000. Service Strategy and the Technological Revolution: The 7 Myths of E‐Services. In: Machuca J.A.D. Mandakovic T. (Eds.) POM Facing the New Millennium: Evaluating the Past Leading with the Present and Planning the Future of Operations. POM Sevilla pp. 159–168.
- Roth A.V., 2001, Siete Mitos De Los Servicios electronic (Seven Myths of Electronic Services), Harvard Deusto Business Review, 100, 88
- Roth A.V., 2004, Insights into services operations management: a research agenda, Productions and Operations Management, 12, 145, 10.1111/j.1937-5956.2003.tb00498.x · DOI · Paper page
- Roth Aleda V. Schroeder Roger. Scales in Operations Management. Sage Thousand Oaks CA in press.
- 10.1016/S0272-6963(98)00026-6 · DOI
- 10.1111/j.1540-5915.2002.tb01658.x · DOI · Paper page
- 10.1108/01443579410056830 · DOI
- 10.1177/009207002236911 · DOI · Paper page
Cited by
Customer engagement: the construct, antecedents, and consequences
Pansari, A., & Kumar, V. (2017) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-016-0485-6 · Cited by 1,758
Consumers acceptance of artificially intelligent (AI) device use in service delivery
Gursoy, D., Chi, O. H., Lu, L., & Nunkoo, R. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.03.008 · Cited by 1,437
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
Angst, C. M., & Agarwal, R. (2009) · MIS Quarterly · doi:10.2307/20650295 · Cited by 1,043
“Service Encounter 2.0”: An investigation into the roles of technology, employees and customers
Larivière, B., Bowen, D., Andreassen, T. W., Kunz, W., Sirianni, N. J., Voss, C., Wünderlich, N. V., & De Keyser, A. (2017) · Journal of Business Research · doi:10.1016/j.jbusres.2017.03.008 · Cited by 779
Metadata
- Authors
- Froehle, C. M., & Roth, A. V.
- Venue
- Journal of Operations Management
- Publisher
- Wiley
- Published
- 2004-01-21
- Volume
- 22
- Issue
- 1
- Pages
- 1-21
- ISSN
- 0272-6963 (ISSN-L)
- 1873-1317
- OpenAlex
- W2170299067
- Cited by
- 419
- References
- 12
- FWCI
- 20.80
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: New measurement scales for evaluating perceptions of the technology‐mediated customer service experience. https://app.cochat.ai/papers/10.1016/j.jom.2003.12.004
- The paper
- Froehle, C. M., & Roth, A. V. (2004). New measurement scales for evaluating perceptions of the technology‐mediated customer service experience. Journal of Operations Management. https://doi.org/10.1016/j.jom.2003.12.004
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.