z-logo
open-access-imgOpen Access
Peranan Keterlibatan Dalam Memprediksi Perilaku Loyalitas Konsumen Pada Private Store Apparel Brands Di Banjarmasin
Author(s) -
Nuril Huda,
Siti Aliyati Albushairi
Publication year - 2019
Publication title -
jwm: jurnal wawasan manajemen
Language(s) - English
DOI - 10.20527/jwm.v1i2.46
Private  store  brands  as  retail  market  conspicuous  presence  of  other  store brands. Advances in technology have changed the taste and preferences of the customers choice. What is perceived consumer can signi cantly increase brand loyalty  as  a  result  of  the  marketing  strategy.  This  study  aims  to  identify  the pro le of the customer based on demographic variables, determine the factors that  in uence  purchasing  decisions  clothing  brand,  know  the  factors  that in uence brand loyalty engagement, and perceptual mapping user customers based  products  and  factors  involved.  The  analytical  tool  used  is  the  Factor Analysis and Biplot. The results showed that the pro le of the customer private brands of apparel stores include male sex, age of respondents 20-29 years, not married,  have  no  children,  educated  Bachelor,  income  Rp.2.000.000  ,  -  until Rp2.999.999 , - . The structure of the factors that in uence the purchase decision is personality, reference groups and families. While the most dominant factor is personality. Structure factors involved in predicting behavior and brand loyalty is a sign of risk importance, risk probability, pleasure , interest , and pleasure and risk probability . While the most dominant is the sign and risk importance. Customers are middle-income, unemployed self-employed , and private sector employees as well as highly educated close to all the factors that form factor . Keywords :involvement, brand loyalty, private store apparel brands

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom