PLS-SEM has been increasingly developed in various fields in recent years, due to its usability in nonnormal data, small sample sizes, and the use of formative indicators. SEM is a multivariate method that combines multiple regression and factor analysis aspects. The results were processed using structural equation modelling (SEM) in SmartPLS software. The main data collection tool in this study was a questionnaire. The data was obtained from interviews with customers who were buying wooden furniture. A conceptual model was proposed based on the theoretical framework from literature. ![]() " Structural equation modeling (SEM) of consumer preferences for wooden furniture (home and office)," BioResources 17(1), 1551-1565.Ĭonsumer preferences were examined with respect to the decision-making process to purchase home and office furniture in Iran. Gudarzi, E., Tajdini, A., Pourmousa, S., Jahan Latibari, A., and Roohnia, M.
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