The DOI matches its Crossref record; 70 of the 70 references it cites were found in a registry or an index.
Improving service quality through customer journey analysis
Open accessAbstract
Purpose: The purpose of this paper is to propose a framework based on customer journeys for a structured portrayal of service delivery from the customer’s point of view. The paper also introduces customer journey analysis (CJA) for empirical investigation of individual service experiences in a multichannel environment. Design/methodology/approach: The paper presents case studies for onboarding new customers on broadband services. CJA starts with modeling of the service process in terms of touchpoints. The individual customer journeys are reconstructed through methodological triangulation of interviews, diary studies, and process tracking. Findings: The paper provides empirical insights into individual customer journeys. Four types of deviations during service delivery are identified: occurrence of ad hoc touchpoints, irregularities in the sequence of logically connected touchpoints, occurrence of failures in touchpoints, and missing touchpoints. CJA seems effective in revealing problematic and incoherent service delivery that may result in unfavorable customer experiences. Practical implications: For a service company, the proposed framework may serve as a unifying language to ease cross-departmental communication and approach service quality in a systematic way. CJA discloses the gap between the planned and actual service delivery and can be used as a tool for service improvement. Originality/value: The framework provides concepts, definitions, and a visual notation to structure and manage services in terms of customer journeys. CJA is a novel method for empirical studies of the service delivery process and the associated customer experience.
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Cites
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A Survey Method for Characterizing Daily Life Experience: The Day Reconstruction Method
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Cited by
Dwivedi, Y. K., Hughes, L., Baabdullah, A. M., Ribeiro-Navarrete, S., Giannakis, M., Al-Debei, M. M., Dennehy, D., Metri, B., Buhalis, D., Cheung, C. M. K., et al. (2022) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2022.102542 · Cited by 2,753
Understanding customer journey from the lenses of complexity theory
Varnali, K. (2019) · The Service Industries Journal · doi:10.1080/02642069.2018.1445725 · Cited by 64
Metadata
- Authors
- Halvorsrud, R., Kvale, K., & Følstad, A.
- Venue
- Journal of Service Theory and Practice
- Publisher
- Emerald
- Published
- 2016-11-14
- Volume
- 26
- Issue
- 6
- Pages
- 840-867
- ISSN
- 2055-6225 (ISSN-L)
- OpenAlex
- W2546665280
- Cited by
- 267
- References
- 70
- FWCI
- 34.03
- Type
- journal article
- Language
- en
- Open access
- green
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- Halvorsrud, R., Kvale, K., & Følstad, A. (2016). Improving service quality through customer journey analysis. Journal of Service Theory and Practice. https://doi.org/10.1108/jstp-05-2015-0111
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.