This paper aims to discuss the estimation of PLS models with second-order formative constructs as existing research has mainly focused on second-order constructs with a reflective measurement.
Using a model grounded on Roger’s innovation diffusion theory applied to online travel shopping, an empirical application is used to assess and compare the different approaches used to estimate a formative second-order construct. The proposed model examines the innovations characteristics that have an impact on intentions to purchase travel online, using data from a convenience sample of 1,732 responses.
The findings show that all approaches produce similar results regarding the path coefficients, the predictive relevance of the model and the explained variance. The main differences between the approaches are related to the weights of the first-order constructs on the second-order construct and the significance of those weights. Several recommendations are made for researchers on which approach to use.
Since most research has focused on second-order constructs with a reflective measurement and there is limited research with formative second-order constructs, this paper provides a comparison of the different approaches typically used to estimate a formative second-order construct and present useful guidelines for researchers to decide the method to analyse a model with second-order constructs and how to assess formative second-order constructs.
本论文以罗杰斯的创新扩散模型以基础, 应用其在在线旅游购物行为的研究。通过模型建立和背景研究, 多种预估形成性二阶结构的方法得以比较。建立的模型, 通过1,732份样本采样, 分析了各种对于在线购买旅游产品意图的创新特性。
本论文发现, 各种方法产生相似的分析结果, 比如径路系数、模型预测相关、以及被解释变量等。三种方法的主要区别在于, 第一阶段结构与第二阶段结构的比重值, 还有这些比重值的显著程度。本论文结果对于未来理论采用哪种方法做出启示。
由于大多数研究都集中在以反应性二阶结构分析, 很少的文章研究形成性二阶结构。因此, 本论文全面地比较了三种衡量形成性二阶结构的方法, 并且提供有效建议, 采用哪种方式以分析二阶结构, 以及如何衡量形成性二阶结构。
Duarte, P. and Amaro, S. (2018), "Methods for modelling reflective-formative second order constructs in PLS: An application to online travel shopping", Journal of Hospitality and Tourism Technology, Vol. 9 No. 3, pp. 295-313. https://doi.org/10.1108/JHTT-09-2017-0092
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