Corporate Image as a Mediator PLS
datasetposted on 12.02.2019 by S.Y. (Shu Yi) Chi, L.H. (LiHsien) Chien
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
The main purpose of our paper is to analyze the impact of service quality and corporate image on satisfaction and loyalty behavioral intention. The PLS-SEM (Partial Least Squares Structural Equation Modeling) analysis is adopted for the exhibition industry. There are four constructs in this study. The corporate image construct includes three observed variables such as NFA image, advertising image, and NFA reputation. The service quality dimension includes five variables—tangibility, reliability, assurance, responsiveness, and empathy. The customer satisfaction construct includes three variables—payment of expenses, exhibitor performance, and overall satisfaction. The behavioral intention construct consists of two variables—loyalty and intention to pay. The questionnaires employed the Likert five-point scale, where 1 indicates strongly disagree and 5 indicates strongly agree. Total sample size is 113. This dataset obtains the key test results of examining the relations between constructs in the structural equations by using SmartPLS 3.0 in EXCEL format.