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Shopping intention at AI-powered automated retail stores (AIPARS) · Study

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Shopping intention at AI-powered automated retail stores (AIPARS)

Rajasshrie Pillai, Brijesh Sivathanu, Yogesh Kumar Dwivedi

2020-08-04articleJournal of Retailing and Consumer Services428 citationsclosed

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Technology Adoption and User Behaviour Consumer Retail Behavior Studies AI in Service Interactions

Abstract

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Citations in this library

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References

1981Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

2003Common method biases in behavioral research: A critical review of the literature and recommended remedies.

1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology

2003User Acceptance of Information Technology: Toward A Unified View1

1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research

2011PLS-SEM: Indeed a Silver Bullet

1986Self-Reports in Organizational Research: Problems and Prospects

1981Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics

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2022Artificial intelligence focus and firm performance

2021Psychological determinants of users’ adoption and word-of-mouth recommendations of smart voice assistants

2021Artificial intelligence as an enabler of B2B marketing: A dynamic capabilities micro-foundations approach

2021Data intelligence and analytics: A bibliometric analysis of human–Artificial intelligence in public sector decision-making effectiveness

Details

Year2020

Typearticle

VenueJournal of Retailing and Consumer Services

Languageen

Files0 public / 0

Identifiers

doi10.1016/j.jretconser.2020.102207

openalex_workW3047424958

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