| dc.description.abstract | Technological diffusion is the process by which innovations (be they new
products, new processes or new management methods) spread within and across
economies. Some understanding of the process of technological diffusion is
essential if we are to gain any insight into the processes of economic growth and
development, for, whatever the emphasis has been in the past in research and
public policy, it is the application of innovations (diffusion) rather than the
generation of innovations (invention or R & D) that leads to the realization of
benefits from technological advance
The purpose of this research is to reveal which factors between
Salesperson Reputation towards Customer Loyalty, through Economic Value,
Service Productivity, and Enjoyable Interaction at Hartono Electronic, which is
aimed to use 4 variables to identify the Customer Loyalty of customers.
This study uses a quantitative approach to the analysis technique of
Structural Equation Model (SEM) and the AMOS 22.0 software. The
questionnaire distributed to 121 respondents in the sample in which the
characteristics of respondents that consists of men and women in the age range
18-60 years, who have purchased Hartono Electronic products at least twice in 1
years. The sampling method used in this research that is non - probability
sampling.
The results showed that Salesperson Reputation variable has significant
positive effect on the Economic Value with regression coefficient value of 0.897;
Salesperson Reputation variable has significant positive effect on the Service
Productivity with regression coefficient value of 0.983; Salesperson Reputation
variable has significant positive effect on the Enjoyable Interaction with
regression coefficient value of 0.866; Economic Value variable has insignificant
positive effect on the Customer Loyalty with regression coefficient value of
0.038; Service Productivity variable has insignificant positive effect on the
Customer Loyalty with regression coefficient of 0.024; Enjoyable Interaction
variable has significant positive effect on the Customer Loyalty with regression
coefficient value of 0.943 | en_US |
