Online service failure: diagnosing customer’s evaluation of critical incidents outcomes

The rapid propagation of the internet over the last decades has changed the way customers and service providers conducting business. This study focuses on customer’s evaluation on service encounters within an online setting and its consequences. Critical incident technique (CIT) was conducted to gai...

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Main Authors: Maisarah Ahmad, Suhaila Abdul Kadir, Syed Shah Alam, Nur Sa'adah Muhamad, Nor Suryani Ab. Ghani, Noorasikin Mohd Mandak
Format: Non-Indexed Article
Published: 2015
Online Access:http://discol.umk.edu.my/id/eprint/8094/
http://www.serialsjournals.com/serialjournalmanager/pdf/1435128275.pdf
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spelling my.umk.eprints.80942022-05-23T10:25:15Z http://discol.umk.edu.my/id/eprint/8094/ Online service failure: diagnosing customer’s evaluation of critical incidents outcomes Maisarah Ahmad Suhaila Abdul Kadir Syed Shah Alam Nur Sa'adah Muhamad Nor Suryani Ab. Ghani Noorasikin Mohd Mandak The rapid propagation of the internet over the last decades has changed the way customers and service providers conducting business. This study focuses on customer’s evaluation on service encounters within an online setting and its consequences. Critical incident technique (CIT) was conducted to gain understanding of customer’s perception on ‘satisfactory’ and ‘dissatisfactory’ online service encounter and to explore the underlying antecedents of customer’s evaluation following an online service failure. A total of 26 written accounts of these critical incidents were content analysed through data obtained from interviews and open ended questionnaires sampled from online service customers. Four categories of failure have been classified: (a) unavailable service, (b) slow service, (c) systems failure and (d) other core service failure, adding another dimension to Bitner et al.’s (1990) 3-category responses to service failure. In particular, responses to technical systems failure (Category C) account for the biggest number of incidents captured in this study (46.2%). Although the majority of customers within Category B and C evaluated the recovery efforts as satisfactory, majority of others in the other categories assessed otherwise. The dynamics of these findings can help service providers to understand the underlying events or incidents that lead to customer satisfaction and dissatisfaction and eventually to improve their online service strategies. 2015 Non-Indexed Article NonPeerReviewed Maisarah Ahmad and Suhaila Abdul Kadir and Syed Shah Alam and Nur Sa'adah Muhamad and Nor Suryani Ab. Ghani and Noorasikin Mohd Mandak (2015) Online service failure: diagnosing customer’s evaluation of critical incidents outcomes. International Journal of Applied Business Research, 13 (1). pp. 239-257. http://www.serialsjournals.com/serialjournalmanager/pdf/1435128275.pdf
institution Universiti Malaysia Kelantan
building Perpustakaan Universiti Malaysia Kelantan
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Kelantan
content_source UMK Institutional Repository
url_provider http://umkeprints.umk.edu.my/
description The rapid propagation of the internet over the last decades has changed the way customers and service providers conducting business. This study focuses on customer’s evaluation on service encounters within an online setting and its consequences. Critical incident technique (CIT) was conducted to gain understanding of customer’s perception on ‘satisfactory’ and ‘dissatisfactory’ online service encounter and to explore the underlying antecedents of customer’s evaluation following an online service failure. A total of 26 written accounts of these critical incidents were content analysed through data obtained from interviews and open ended questionnaires sampled from online service customers. Four categories of failure have been classified: (a) unavailable service, (b) slow service, (c) systems failure and (d) other core service failure, adding another dimension to Bitner et al.’s (1990) 3-category responses to service failure. In particular, responses to technical systems failure (Category C) account for the biggest number of incidents captured in this study (46.2%). Although the majority of customers within Category B and C evaluated the recovery efforts as satisfactory, majority of others in the other categories assessed otherwise. The dynamics of these findings can help service providers to understand the underlying events or incidents that lead to customer satisfaction and dissatisfaction and eventually to improve their online service strategies.
format Non-Indexed Article
author Maisarah Ahmad
Suhaila Abdul Kadir
Syed Shah Alam
Nur Sa'adah Muhamad
Nor Suryani Ab. Ghani
Noorasikin Mohd Mandak
spellingShingle Maisarah Ahmad
Suhaila Abdul Kadir
Syed Shah Alam
Nur Sa'adah Muhamad
Nor Suryani Ab. Ghani
Noorasikin Mohd Mandak
Online service failure: diagnosing customer’s evaluation of critical incidents outcomes
author_facet Maisarah Ahmad
Suhaila Abdul Kadir
Syed Shah Alam
Nur Sa'adah Muhamad
Nor Suryani Ab. Ghani
Noorasikin Mohd Mandak
author_sort Maisarah Ahmad
title Online service failure: diagnosing customer’s evaluation of critical incidents outcomes
title_short Online service failure: diagnosing customer’s evaluation of critical incidents outcomes
title_full Online service failure: diagnosing customer’s evaluation of critical incidents outcomes
title_fullStr Online service failure: diagnosing customer’s evaluation of critical incidents outcomes
title_full_unstemmed Online service failure: diagnosing customer’s evaluation of critical incidents outcomes
title_sort online service failure: diagnosing customer’s evaluation of critical incidents outcomes
publishDate 2015
url http://discol.umk.edu.my/id/eprint/8094/
http://www.serialsjournals.com/serialjournalmanager/pdf/1435128275.pdf
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score 13.18916