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Developing a service quality scale for artificial intelligence service agents
by
Noor, Nurhafihz
, Troshani, Indrit
, Rao Hill, Sally
in
Artificial intelligence
/ Customer satisfaction
/ Customer services
/ Employees
/ Perceptions
/ Quality of service
2022
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Developing a service quality scale for artificial intelligence service agents
by
Noor, Nurhafihz
, Troshani, Indrit
, Rao Hill, Sally
in
Artificial intelligence
/ Customer satisfaction
/ Customer services
/ Employees
/ Perceptions
/ Quality of service
2022
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Developing a service quality scale for artificial intelligence service agents
Journal Article
Developing a service quality scale for artificial intelligence service agents
2022
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Overview
Purpose
Service providers and consumers alike are increasingly adopting artificial intelligence service agents (AISA) for service. Yet, no service quality scale exists that can fully capture the key factors influencing AISA service quality. This study aims to address this shortcoming by developing a scale for measuring AISA service quality (AISAQUAL).
Design/methodology/approach
Based on extant service quality research and established scale development techniques, the study constructs, refines and validates a multidimensional AISAQUAL scale through a series of pilot and validation studies.
Findings
AISAQUAL contains 26 items across six dimensions: efficiency, security, availability, enjoyment, contact and anthropomorphism. The new scale demonstrates good psychometric properties and can be used to evaluate service quality across AISA, providing a means of examining the relationships between AISA service quality and satisfaction, perceived value as well as loyalty.
Research limitations/implications
Future research should validate AISAQUAL with other AISA types, as they diffuse throughout the service sector. Moderating factors related to services, the customer and the AISA can be investigated to uncover the boundary conditions under which AISAQUAL is likely to influence service outcomes. Longitudinal studies can be carried out to assess how ongoing use of AISA can change service outcomes.
Practical implications
Service managers can use AISAQUAL to effectively monitor, diagnose and improve services provided by AISA while enhancing their understanding of how AISA can deliver better service quality and customer loyalty outcomes.
Originality/value
Anthropomorphism is identified as a new service quality dimension. AISAQUAL facilitates theory development by providing a reliable scale to improve the current understanding of consumers’ perspectives concerning AISA services.
Publisher
Emerald Publishing Limited,Emerald Group Publishing Limited
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