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Perceived interactivity in real estate APP increases consumers' psychological well-being: a moderated mediation model

Maosheng Yang (School of Public Administration and Policy, Renmin University of China, Beijing, China)
Lei Feng (School of Public Administration and Policy, Renmin University of China, Beijing, China)
Honghong Zhou (School of Languages and Communication Studies, Beijing Jiaotong University, Beijing, China)
Shih-Chih Chen (Department of Information Management, National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan)
Ming K. Lim (Adam Smith Business School, University of Glasgow, Glasgow, UK)
Ming-Lang Tseng (Institute of Innovation and Circular Economy, Asia University, Taichung, Taiwan) (Department of Medical Research, China Medical University, Taichung, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 15 February 2024

Issue publication date: 12 April 2024

107

Abstract

Purpose

This study aims to empirically analyse the influence mechanism of perceived interactivity in real estate APP which affects consumers' psychological well-being. With the growing application of human–machine interaction in real estate APP, it is crucial to utilize human–machine interaction to stimulate perceived interactivity between humans and machines to positively impact consumers' psychological well-being and sustainable development of real estate APP. However, it is unclear whether perceived interactivity improves consumers' psychological well-being.

Design/methodology/approach

This study proposes and examines a theoretical model grounded in the perceived interactivity theory, considers the relationship between perceived interactivity and consumers' psychological well-being and explores the mediating effect of perceived value and the moderating role of privacy concerns. It takes real estate APP as the research object, analyses the data of 568 consumer samples collected through questionnaires and then employs structural equation modelling to explore and examine the proposed theoretical model of this study.

Findings

The findings are that perceived interactivity (i.e. human–human interaction and human–information interaction) positively influences perceived value, which in turn affects psychological well-being, and that perceived value partially mediates the effect of perceived interaction on psychological well-being. More important findings are that privacy concerns not only negatively moderate human–information interaction on perceived value, but also negatively moderate the indirect effects of human–information interaction on users' psychological well-being through perceived value.

Originality/value

This study expands the context on perceived interaction and psychological well-being in the field of real estate APP, validating the mediating role and boundary conditions of perceived interactivity created by human–machine interaction on consumers' psychological well-being, and suggesting positive implications for practitioners exploring human–machine interaction technologies to improve the perceived interaction between humans and machines and thus enhance consumer psychological well-being and span sustainable development of real estate APP.

Keywords

Citation

Yang, M., Feng, L., Zhou, H., Chen, S.-C., Lim, M.K. and Tseng, M.-L. (2024), "Perceived interactivity in real estate APP increases consumers' psychological well-being: a moderated mediation model", Industrial Management & Data Systems, Vol. 124 No. 4, pp. 1385-1412. https://doi.org/10.1108/IMDS-09-2023-0623

Publisher

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Emerald Publishing Limited

Copyright © 2024, Emerald Publishing Limited

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