The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
The case of Amazon.com: towards a conceptual framework of online customer service experience (OCSE) using the emerging consensus technique (ECT)
Abstract
Purpose: – The concept of online customer service experience (OCSE) has recently received great interest from academia and businesses alike. Despite the belief that providing superb online experiences will influence customers' online buying behavior, most of the research focuses solely on the controllable factors of the online experience. This paper seeks to address these issues. Design/methodology/approach: – Using the means-end approach in 62 semi-structured interviews with a representative sample from three countries, and a new tool to elicit behavioral aggregation, the emerging consensus technique (ECT), the author conceptualizes online customer service experience (OCSE). Findings: – The study identifies functionality and psychological factors as the two main dimensions of online customer service experience. Functionality encompasses the technical attributes of the web vendor, namely the sub-dimensions usability, product presence, communication, social presence, and interactivity. Psychological factors consist of the attitudinal based sub-dimensions context familiarity, trust, and value for money. The conceptual model extends and expands existing literature on online customer service experience models. In particular, the study identifies that the individual importance of the online customer service experience dimensions differ depending on which stage of the experience, namely prior to, during, or after the transaction the customer is in. Moreover, the study reveals the presence of one previously unexplored key component of the online customer service experience: social presence. Originality/value: – Based on its empirical findings, this article proposes a dynamic conceptual framework of online customer service experience, which incorporates the individual dimensions of the online experience according to the stage of the customer journey. Using and validating a new tool of extracting elicit behavioral aggregation, the ECT, the study conceptualizes the online customer service experience, exploring previously unexplored key dimensions of OCSE. The model highlights the dynamic nature of OCSE by exploring the relative importance of each identified dimension in relation to the stage of the interaction, i.e. before, during, or after the transaction/purchase, between the customer and the service provider.
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
Handbook of Qualitative Research
Crozier, G., Denzin, N., & Lincoln, Y. (1994) · British Journal of Educational Studies · doi:10.2307/3121684 · Cited by 26,666
A Paradigm for Developing Better Measures of Marketing Constructs
Churchill, G. A. (1979) · Journal of Marketing Research · doi:10.1177/002224377901600110 · Cited by 16,549
The Behavioral Consequences of Service Quality
Zeithaml, V. A., Berry, L. L., & Parasuraman, A. (1996) · Journal of Marketing · doi:10.2307/1251929 · Cited by 12,003
Moore, G. C., & Benbasat, I. (1991) · Information Systems Research · doi:10.1287/isre.2.3.192 · Cited by 9,150
Servicescapes: The Impact of Physical Surroundings on Customers and Employees
Bitner, M. J. (1992) · Journal of Marketing · doi:10.2307/1252042 · Cited by 7,271
Managing the co-creation of value
Payne, A. F., Storbacka, K., & Frow, P. (2008) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-007-0070-0 · Cited by 3,502
Customer experience creation: Determinants, dynamics and management strategies
Verhoef, P. C., Lemon, K. N., Parasuraman, A., Roggeveen, A., Tsiros, M., & Schlesinger, L. A. (2009) · Journal of Retailing · doi:10.1016/j.jretai.2008.11.001 · Cited by 3,140
Empirical testing of a model of online store atmospherics and shopper responses
Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003) · Psychology & Marketing · doi:10.1002/mar.10064 · Cited by 1,283
The cultural relativity of the quality of life concept
Hofstede, G. (1984) · The Academy of Management Review · doi:10.5465/amr.1984.4279653 · Cited by 1,257
Flow online: lessons learned and future prospects.
Hoffman, D. L., & Novak, T. P. (2009) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2008.10.003 · Cited by 954
Cited by
The Multilevel Nature of Customer Experience Research: An Integrative Review and Research Agenda
Kranzbühler, A., Kleijnen, M. H. P., Morgan, R. E., & Teerling, M. (2018) · International Journal of Management Reviews · doi:10.1111/ijmr.12140 · Cited by 389
Re-examining online customer experience to include purchase frequency and perceived risk
Martin, J., Mortimer, G., & Andrews, L. (2015) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2015.03.008 · Cited by 321
Developing a Mobile Applications Customer Experience Model (MACE)- Implications for Retailers
McLean, G., Al-Nabhani, K., & Wilson, A. (2018) · Journal of Business Research · doi:10.1016/j.jbusres.2018.01.018 · Cited by 299
Going on a journey: A review of the customer journey literature
Tueanrat, Y., Papagiannidis, S., & Alamanos, E. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2020.12.028 · Cited by 282
AI-based self-service technology in public service delivery: User experience and influencing factors
Chen, T., Guo, W., Gao, X., & Liang, Z. (2021) · Government Information Quarterly · doi:10.1016/j.giq.2020.101520 · Cited by 268
Metadata
- Authors
- Klaus, P.
- Venue
- Journal of Services Marketing
- Publisher
- Emerald
- Published
- 2013-09-09
- Volume
- 27
- Issue
- 6
- Pages
- 443-457
- ISSN
- 0887-6045 (ISSN-L)
- OpenAlex
- W2067839157
- Cited by
- 239
- References
- 14
- FWCI
- 30.20
- 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: The case of Amazon.com: towards a conceptual framework of online customer service experience (OCSE) using the emerging consensus technique (ECT). https://app.cochat.ai/papers/10.1108/jsm-02-2012-0030
- The paper
- Klaus, P. (2013). The case of Amazon.com: towards a conceptual framework of online customer service experience (OCSE) using the emerging consensus technique (ECT). Journal of Services Marketing. https://doi.org/10.1108/jsm-02-2012-0030
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.