Virtual Technology (VR) Attractiveness Attributes in Influencing House Buyers’ Intention to Purchase

Autor: null Fazdliel Aswad Ibrahim, null Nurfadzillah Ishak, null Jacqueline Kueh Yee Woon, null Wong Boying, null Mohd Wira Mohd Shafiei, null Radzi Ismail, null Rafiza Abdul Razak
Rok vydání: 2023
Předmět:
Zdroj: Journal of Advanced Research in Applied Sciences and Engineering Technology. 29:126-134
ISSN: 2462-1943
Popis: This study aims to investigate the response from selected potential buyers on the marketing communication channel by using the application of virtual reality (VR) in new housing schemes. The objective of this study is to test the hypothesis relating to the channel attributes and potential buyers' purchase intentions through a within-subject design with 100 prospective house buyers. Data were analysed using correlation analysis in IBM SPSS software. It was found that the channel attributes are related to the house purchase intention as indicated by correlation values of 0.793, which indicates strong correlations. As the study uses a quantitative survey method, the data obtained may not be as precise as data obtained using a qualitative research method. Respondents can only select a few options, making it harder for them to express their true opinions. As a contribution to the housing industry, this study emphasizes the importance of VR house models in marketing communication by providing useful empirical results and recommendations based on the research results. The study integrates the current knowledge derived from the research conceptual framework to develop a smart real estate marketing strategy using VR.
Databáze: OpenAIRE