Toggle Main Menu Toggle Search

Open Access padlockePrints

Emerging digital technologies and consumer decision-making in retail sector: Towards an integrative conceptual framework

Lookup NU author(s): Professor Charles DennisORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

© 2023 Elsevier Ltd. This paper explores the influence of digital technologies on the consumer decision-making in retail sector with two online survey-based studies. Study 1 identifies unique attributes of six digital technologies, including two current (Internet and Mobile Platform) and four emerging (Artificial Intelligence, Augmented, Mixed and Virtual Reality) technologies. Study two focuses on older consumers to understand their decision-making process when shopping for products or services using new digital technologies. We extend the AISAS (Awareness, Interest, Search, Action, and Sharing) model to show that with digital technologies, consumer decision journey is no longer linear. For example, attention can lead directly to action, without going through the interest or search stages. Similarly, purchase can lead to sharing that may lead to loyalty and psychological engagement, and reinforce attention. We found no significant difference in these effects between older and younger consumers. Besides providing useful insights about consumer decision-making process with emerging digital technologies for future academic researchers, these results also give useful ideas to marketing practitioners interested in introducing these emerging technologies to deliver superior value to their customers.


Publication metadata

Author(s): Sharma P, Ueno A, Dennis C, Turan CP

Publication type: Article

Publication status: Published

Journal: Computers in Human Behavior

Year: 2023

Volume: 148

Print publication date: 01/11/2023

Online publication date: 08/08/2023

Acceptance date: 08/08/2023

Date deposited: 19/11/2024

ISSN (print): 0747-5632

ISSN (electronic): 1873-7692

Publisher: Elsevier Ltd

URL: https://doi.org/10.1016/j.chb.2023.107913

DOI: 10.1016/j.chb.2023.107913

ePrints DOI: 10.57711/ynv6-tb88


Altmetrics

Altmetrics provided by Altmetric


Share