TY - JOUR
T1 - Structural model for analyzing brand loyalty in food delivery applications
AU - Mudjahidin, Mudjahidin
AU - Persada, Erlangga Dimastya
AU - Aristio, Andre Parvian
AU - Wiratno, Stefanus Eko
AU - Junaedi, Lukman
AU - Baihaqy, Ahmad
N1 - Publisher Copyright:
© 2023 The Authors. Published by Elsevier B.V.
PY - 2024
Y1 - 2024
N2 - Intense competition for Food Delivery Applications (FDA) in Indonesia causes a lack of customer loyalty to one particular brand. Companies need to ensure that the applications used compete with competitors. FDA companies must focus on user needs in developing strategies to have loyal and highly committed customers. Therefore, a model analysis is needed so that companies can determine Brand Loyalty factors at the FDA. This study describes a conceptual model related to the factors that influence Brand Loyalty by knowing the relationship between variables using the Structural Equation Modelling method. The results show that the company can use 8 variables, 15 hypotheses, and 34 indicators to increase customer Brand Loyalty. Other researchers can carry out the step of elaborating the model to implement the model in appropriate cases.
AB - Intense competition for Food Delivery Applications (FDA) in Indonesia causes a lack of customer loyalty to one particular brand. Companies need to ensure that the applications used compete with competitors. FDA companies must focus on user needs in developing strategies to have loyal and highly committed customers. Therefore, a model analysis is needed so that companies can determine Brand Loyalty factors at the FDA. This study describes a conceptual model related to the factors that influence Brand Loyalty by knowing the relationship between variables using the Structural Equation Modelling method. The results show that the company can use 8 variables, 15 hypotheses, and 34 indicators to increase customer Brand Loyalty. Other researchers can carry out the step of elaborating the model to implement the model in appropriate cases.
KW - Brand loyalty
KW - Food delivery apps
KW - Structural equation modelling
UR - http://www.scopus.com/inward/record.url?scp=85193204251&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2024.03.075
DO - 10.1016/j.procs.2024.03.075
M3 - Conference article
AN - SCOPUS:85193204251
SN - 1877-0509
VL - 234
SP - 876
EP - 884
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 7th Information Systems International Conference, ISICO 2023
Y2 - 26 July 2023 through 28 July 2023
ER -