Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 419

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

Froehle, Craig M., Roth, Aleda V.·2004·Journal of Operations Management

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.jom.2003.12.004

Cites

12 of 12 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

Show all 12 references

Research works printed but not linked: 54

  1. 10.1177/014920638901500204 · DOI · Paper page
  2. 10.1111/j.1540-5915.1999.tb01614.x · DOI · Paper page
  3. 10.2307/249763 · DOI · Paper page
  4. Alavi M., 1997, Using information technology to add value to management education, Academy of Management Journal, 40, 1310, 10.2307/257035 · DOI · Paper page
  5. 10.1287/mnsc.33.4.525 · DOI · Paper page
  6. 10.1037/0021-9010.76.5.732 · DOI · Paper page
  7. 10.2307/2393203 · DOI · Paper page
  8. 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
  9. 10.1287/orsc.6.4.350 · DOI · Paper page
  10. Bollen K.A. 1989. Structural Equations with Latent Variables. Wiley New York NY. · DOI · Paper page
  11. 10.1016/S0272-6963(01)00093-6 · DOI · Paper page
  12. Chase R.B., 1978, Where does the customer fit in the service operation?, Harvard Business Review, 56, 137
  13. 10.1287/opre.29.4.698 · DOI · Paper page
  14. 10.1207/s15327906mbr2501_13 · DOI · Paper page
  15. Churchill Gilbert A. 1995. Marketing Research: Methodological Foundations Dryden Press Forth Worth TX.
  16. Coffee P., 2001, E‐CRM: making the customer king?, eWeek, 18, 39
  17. 10.1016/0024-6301(83)90002-X · DOI
  18. 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.
  19. 10.1287/mnsc.35.8.982 · DOI · Paper page
  20. 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.
  21. Fishbein M. Azjen I. 1975. Belief Attitude Intention and Behavior: An Introduction to Theory and Research. Addison‐Wesley Reading MA.
  22. Fitzsimmons J.A. Fitzsimmons. M.J. 2004. Service Management: Operations Strategy and Information Technology. Irwin‐McGraw Hill New York NY.
  23. 10.1016/0272-6963(90)90098-X · DOI · Paper page
  24. 10.1177/002224378101800104 · DOI · Paper page
  25. Fowler Jr. F.J. 1988. Survey Research Methods. Sage Publications Newbury Park CA.
  26. 10.1016/S0272-6963(02)00037-2 · DOI · Paper page
  27. 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.
  28. 10.1016/0272-6963(91)90075-9 · DOI
  29. 10.1287/msom.3.3.264.9890 · DOI · Paper page
  30. 10.1177/109467050134002 · DOI
  31. 10.1016/S0272-6963(98)00051-5 · DOI · Paper page
  32. Heskett J.L., 1994, Putting the service‐profit chain to work, Harvard Business Review, 72, 164
  33. Heskett J.L. Sasser W.E. Schlesinger L.A. 2003. The Value Profit Chain The Free Press NY.
  34. 10.1016/S0272-6963(01)00092-4 · DOI · Paper page
  35. 10.1108/eb054825 · DOI
  36. 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.
  37. 10.1287/mnsc.41.11.1734 · DOI · Paper page
  38. 10.1037/0021-9010.76.4.508 · doi:10.1037/0021-9010.76.4.508
  39. Menor L.J. 2000 An Empirical Investigation of New Service Development Competence and Performance. Unpublished Doctoral Dissertation University of North Carolina Chapel Hill.
  40. Nunnaly J.C. 1978. Psychometric Theory. McGraw‐Hill New York NY.
  41. 10.1016/S0040-1625(01)00188-3 · DOI
  42. 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.
  43. Pine B.J., 1998, Welcome to the experience economy, Harvard Business Review, 76, 97
  44. 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
  45. Porter M.E., 1985, How information gives you competitive advantage, Harvard Business Review, 63, 149
  46. Reichheld F.F., 2000, E‐loyalty: your secret weapon on the web, Harvard Business Review, 78, 105
  47. 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.
  48. Roth A.V., 2001, Siete Mitos De Los Servicios electronic (Seven Myths of Electronic Services), Harvard Deusto Business Review, 100, 88
  49. 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
  50. Roth Aleda V. Schroeder Roger. Scales in Operations Management. Sage Thousand Oaks CA in press.
  51. 10.1016/S0272-6963(98)00026-6 · DOI
  52. 10.1111/j.1540-5915.2002.tb01658.x · DOI · Paper page
  53. 10.1108/01443579410056830 · DOI
  54. 10.1177/009207002236911 · DOI · Paper page

Cited by

See all 419

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.