McLean & DeLone Model Modifications Model with Psychological Factors variables in Shopee Indonesia e-commerce

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Authors: Indah Tesalonika Jenifer Naomi, Sfenrianto Sfenrianto, Binus University
Cited by: 0

Abstract

This study employs 33 measurement indicators using a 5-point Likert scale to analyze users’ behavior and experience in Shopee Fashion. System Quality (X1) is measured by four indicators: fast page loading (X1_1), easy navigation (X1_2), system reliability with minimal errors (X1_3), and secure transactions (X1_4). Information Quality (X2) includes accurate and understandable product descriptions (X2_1), complete details on size, material, and price (X2_2), product photos that reflect actual conditions (X2_3), and updated stock availability (X2_4). Service Quality (X3) is measured through responsive customer service (X3_1), easy return/refund procedures (X3_2), on-time delivery (X3_3), and clear service policies (X3_4). System Use (Y1) covers opening Shopee Fashion more than once per week (Y1_1), frequent use of search and recommendation features (Y1_2), spending long time browsing fashion products (Y1_3), and regularly joining promotions or flash sales (Y1_4). Customer Satisfaction (Y2) includes overall satisfaction (Y2_1), experience meeting expectations (Y2_2), feeling happy after shopping (Y2_3), and rarely feeling disappointed (Y2_4). Impulse Buying (Y3) is assessed by unplanned purchases (Y3_1), sudden promotions triggering purchases (Y3_2), attractive product appearance (Y3_3), spontaneous decisions (Y3_4), and promotional notifications encouraging impulsive buying (Y3_5). Post-Purchase Regret (Y4) consists of feeling regret after purchase (Y4_1), realizing the decision was too quick (Y4_2), disappointment when products do not meet expectations (Y4_3), and feeling the purchase should not have been made (Y4_4). Finally, Repurchase Intention (Z) includes planning to buy again (Z_1), choosing Shopee for future purchases (Z_2), recommending Shopee Fashion to friends (Z_3), and continuing to use Shopee in the future (Z_4).

Fields of Study & Subjects

Technology Adoption and User Behaviour Consumer Behavior and Marketing Influence Customer Service Quality and Loyalty

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
7 February 2026
Document type
Dataset