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Applying Schema Resonance Model in live chat e-service

Applying Schema Resonance Model in live chat e-service Live chat e-service provides a communication platform for online customers to make information inquiries and receive instantaneous assistance from a service representative. It is important for organizations to explore ways to improve their live chat e-service. The purpose of this paper is to propose a new organization–customer communication model (Schema Resonance Model), explicate how schema resonance can be achieved in live chat e-service, and investigate the impact of schema resonance on live chat e-service effectiveness, efficiency, customer satisfaction and intention of continued use.Design/methodology/approachA post-test only, between-subjects experiment was conducted. A total of 409 participants completed the experiment sessions, and 389 of these participants were used in the analysis.FindingsResearch results suggest schema resonance could improve the time efficiency of the live chat e-service while maintaining e-service effectiveness. Schema resonance could increase customer satisfaction with the overall e-service, the communication approach used by the representative and the information provided.Research limitations/implicationsBecause a convenience sample was used in the experiment, results cannot be generalized to all live chat e-service users. Future research should include observation of real-world organization–customer live chat e-service sessions.Practical implicationsOrganizations can consider applying the Schema Resonance Model in live chat e-service practices to enhance customer satisfaction and increase representatives’ service productivity.Originality/valueThis research proposes and tests a new organization–customer communication model to explore how organizations can improve live chat e-service in response to customers’ information inquiries. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Service Theory and Practice Emerald Publishing

Applying Schema Resonance Model in live chat e-service

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Publisher
Emerald Publishing
Copyright
© Emerald Publishing Limited
ISSN
2055-6225
DOI
10.1108/jstp-10-2018-0215
Publisher site
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Abstract

Live chat e-service provides a communication platform for online customers to make information inquiries and receive instantaneous assistance from a service representative. It is important for organizations to explore ways to improve their live chat e-service. The purpose of this paper is to propose a new organization–customer communication model (Schema Resonance Model), explicate how schema resonance can be achieved in live chat e-service, and investigate the impact of schema resonance on live chat e-service effectiveness, efficiency, customer satisfaction and intention of continued use.Design/methodology/approachA post-test only, between-subjects experiment was conducted. A total of 409 participants completed the experiment sessions, and 389 of these participants were used in the analysis.FindingsResearch results suggest schema resonance could improve the time efficiency of the live chat e-service while maintaining e-service effectiveness. Schema resonance could increase customer satisfaction with the overall e-service, the communication approach used by the representative and the information provided.Research limitations/implicationsBecause a convenience sample was used in the experiment, results cannot be generalized to all live chat e-service users. Future research should include observation of real-world organization–customer live chat e-service sessions.Practical implicationsOrganizations can consider applying the Schema Resonance Model in live chat e-service practices to enhance customer satisfaction and increase representatives’ service productivity.Originality/valueThis research proposes and tests a new organization–customer communication model to explore how organizations can improve live chat e-service in response to customers’ information inquiries.

Journal

Journal of Service Theory and Practice – Emerald Publishing

Published: Sep 20, 2019

Keywords: Customer satisfaction; Information inquiry; Live chat e-service; Schema resonance

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