ANALYSIS OF CONSUMER BEHAVIOR IN SHOPPING CHANNEL PREFERENCES IN A DUAL CHANNEL SUPPLY CHAIN STRUCTURE

Physical stores and online stores are one way that companies can continue to survive amidst competition by increasing profits from these two channels. Clothing is one of the textile commodities that is widely traded through physical stores and also online stores. This research identifies the factors that have the most significant influence on consumer preferences in choosing physical stores or online stores. Determining the factors involved adopts the results of previously conducted research. Based on existing research, there are several factors, namely Financial Risk (FR), Performance Risk (PerR), Psychological Risk (PsyR), Perceived Risk (PR), Environment Quality (EQ), Service Quality (SQ), Internet Experience (IE ), and Switching Intention (SI). From these variables, 8 hypotheses were formed. All hypotheses from the model were processed using Structural Equation Modeling with SmartPLS 3 software, it was found that H1, H2, H3, H4, H5, and H7 were accepted. H6 and H8 are rejected.

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Publication Details

Journal
Jurnal Ilmiah Teknik Industri
Published
2024-10-28
DOI
https://doi.org/10.24912/jitiuntar.v12i2.30029
Primary Topic
Supply Chain and Inventory Management
Type
article
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article

ANALYSIS OF CONSUMER BEHAVIOR IN SHOPPING CHANNEL PREFERENCES IN A DUAL CHANNEL SUPPLY CHAIN STRUCTURE

Olyvia Novawanda, A B R Indah
Jurnal Ilmiah Teknik Industri
Supply Chain and Inventory Management
article

ANALYSIS OF CONSUMER BEHAVIOR IN SHOPPING CHANNEL PREFERENCES IN A DUAL CHANNEL SUPPLY CHAIN STRUCTURE

Olyvia Novawanda, A B R Indah
article en

Abstract

Physical stores and online stores are one way that companies can continue to survive amidst competition by increasing profits from these two channels. Clothing is one of the textile commodities that is widely traded through physical stores and also online stores. This research identifies the factors that have the most significant influence on consumer preferences in choosing physical stores or online stores. Determining the factors involved adopts the results of previously conducted research. Based on existing research, there are several factors, namely Financial Risk (FR), Performance Risk (PerR), Psychological Risk (PsyR), Perceived Risk (PR), Environment Quality (EQ), Service Quality (SQ), Internet Experience (IE ), and Switching Intention (SI). From these variables, 8 hypotheses were formed. All hypotheses from the model were processed using Structural Equation Modeling with SmartPLS 3 software, it was found that H1, H2, H3, H4, H5, and H7 were accepted. H6 and H8 are rejected.

Jurnal Ilmiah Teknik IndustriVol. 12(2)
University of Surabaya (ID), Universitas 45 Surabaya (ID), Hasanuddin University (ID)
Openalex Percentile: Top 71%
Supply Chain and Inventory Management
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