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The purpose of this study is to examine the acceptance of artificial intelligence devices (AIDs) by customers in banking service encounters using the Artificially Intelligent Device Use Acceptance (AIDUA) model and thus test the validity of the AIDUA model in the context of the banking sector as well as extending the AIDUA model by incorporating two moderator variables, namely technology anxiety and risk aversion by regarding the nature of banking services, which are considered highly risky and technology-intensive.

About 575 valid face-to-face self-administered surveys were gathered using convenience sampling among real bank customers in Turkey. The structural equation modelling was used to test hypotheses involving both direct and moderation effects.

The current study has demonstrated that the AIDUA model is valid and reliable for the acceptance of AIDs in banking service encounters by modifying it. The study results have shown that the acceptance process of AIDs for bank customers consists of three phases. Furthermore, the study’s findings have demonstrated that technology anxiety and risk aversion have adverse moderation effects on the relationship between performance expectancy and emotion as well as on the relationship between emotion and willingness to accept AIDs, respectively.

The current study validates the AIDUA model for the banking industry. In addition, the present study is unique compared to other studies conducted in the literature since it applies the AIDUA model to the setting of banking services for the first time by considering the potential effects of two moderators.

The purpose of this paper is to develop and validate a reliable and valid alternative scale to measure customer-based corporate reputation (CBCR) specific to the banking industry only, where high risks and uncertainties of choosing a service provider exist.

Both qualitative and quantitative methods were employed to develop and validate an alternative scale to measure CBCR in the banking industry. Following Churchill’s (1979) paradigm and other prominent scale development studies, a scale development procedure was generated, which consists of three main stages: scale generation and initial purification, scale refinement and scale validation.

As a consequence of the current study, a reliable and valid multidimensional scale was obtained, consisting of 20 items and four dimensions to measure CBCR in banking industry: financial performance and financially strong company, customer orientation, social and environmental responsibility and trust.

This study provides insight to managers to comprehend and manage their CBCR. Since this study has empirically demonstrated that the four dimensions of the CBCR are associated with the five important customer outcome variables, the study provides further support toward the importance of corporate reputation in strategic marketing decisions in the banking industry.

Numerous different disciplines have focused on corporate reputation measurement by adapting different perspectives and approaches. However, a reliable and valid measurement tool has been proposed here to evaluate corporate reputation from customers’ perspective specific to banking industry.