Factors Affecting the Repurchase Intention in E-Commerce in Kathmandu Valley: Higher Order Structural Analysis Using PLS-SEM

Read at the journal

Abstract

This study examines the factors affecting repurchase intention in e-commerce within the Kathmandu Valley using a higher-order structural analysis approach with Partial Least Squares Structural Equation Modeling (PLS-SEM). The research investigates how convenience, perceived value, and customer satisfaction function as mediators of repurchase intention. A quantitative survey of 273 respondents in the Kathmandu Valley was conducted, and the data were analyzed using PLS-SEM methodology to test the hypothesized relationships among the constructs.

  • E-Commerce
  • Repurchase Intention
  • PLS-SEM
  • Customer Satisfaction
  • Perceived Value
  • Kathmandu Valley

Cite (APA 7th edition)

Sapkota, A., & Adhikari, S. (2024). Factors affecting the repurchase intention in e-commerce in Kathmandu Valley: Higher order structural analysis using PLS-SEM. Nepalese Journal of Insurance and Social Security, 7(1), 84-93.

All publications