Application of structural equation modelling to identification ofpredicting variables of a shopping centre loyalty.
Abstract
There is a vast literature about the attraction and choice of the commercial establishments, with different proposals about the involved variables and different models which try to explain both constructs. Evenso, this has not brought about definitive conclusions from the point of view of the management. But there is an agreement in affirming that there are many factors influencing the attraction and choice of a shopping centre. The classical approach point out the importance of several kinds of factors: personal characteristics of consumers (age, status, life style...), distance from the establishment to consumer, commercial and services offer and advertising. The aim of this research is to test an integral model which contains elements from the four types, from a psychosocial perspective and incorporating also consumer involvement. Thanks to the realization of a personal interview to 220 subjects and using structural equation modelling, we could check that Distance as well as the Advertising play a main role and, therefore, we must pay a special attention to both in the design and management of modern shopping centres.
Downloads
Copyright (c) 2009 Servicio de Publicaciones, University of Murcia (Spain)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
The works published in this journal are subject to the following terms:
1. The Publications Service of the University of Murcia (the publisher) retains the property rights (copyright) of published works, and encourages and enables the reuse of the same under the license specified in paragraph 2.
© Servicio de Publicaciones, Universidad de Murcia, 2022
2. The works are published in the online edition of the journal under a Creative Commons Reconocimiento-CompartirIgual 4.0 (legal text). You can copy, use, distribute, transmit and publicly display, provided that: i) you cite the author and the original source of publication (journal, editorial and URL of the work), ii) are not used for commercial purposes, iii ) mentions the existence and specifications of this license.
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
3. Conditions of self-archiving. Is allowed and encouraged the authors to disseminate electronically pre-print versions (version before being evaluated and sent to the journal) and / or post-print (version reviewed and accepted for publication) of their works before publication, as it encourages its earliest circulation and diffusion and thus a possible increase in its citation and scope between the academic community. RoMEO Color: Green.
