From clicks to affection: How online convenience cultivates brand love through impulsive buying in apparel retail

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Type of the article: Research Article

Abstract
Given the paramount importance of brand love (BL) in the contemporary marketplace, this study analyzes the influence of online convenience (OC) on brand love among apparel customers. It further investigates the mediating role of impulsive buying behavior (IBB) in the relationship between OC and BL by considering its contextual relevance. OC is conceptualized as multi-dimensional construct comprising seven distinct facets: access convenience (AC), search convenience (SC), evaluation convenience (EC), transaction convenience (TC), relationship convenience (RC), possession convenience (PC), and post-possession convenience (PPC). This framework positions OC as a critical factor influencing customers’ psychology. Primary data were collected through an online survey administered to 410 Nike apparel customers in Bangalore, India. The proposed research model was analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM) in SmartPLS. The results reveal that evaluation, transaction, possession, and post-possession convenience have significant positive influences on BL. The study also demonstrates that IBB plays a statistically significant mediating role in the relationship between most dimensions of OC and BL, except for possession and post-possession convenience. The research highlights the necessity of offering better OC to customers to boost BL. Furthermore, this research emphasizes that firms can utilize the potential of the IBB concept as a competitive strategy to accelerate the evolution of BL.

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    • Figure 1. Research model
    • Figure 2. Structural model results
    • Table 1. Respondents’ demographic profile
    • Table 2. Reliability, convergent validity, and multicollinearity
    • Table 3. Fornell-Larcker criterion
    • Table 4. Discriminant validity test using HTMT criterion
    • Table 5. Hypotheses testing results
    • Conceptualization
      Chandni M.C., Reshmi V. Suresh, Abu Elnasr E. Sobaih, Mahmaod Alrawad
    • Data curation
      Chandni M.C., Reshmi V. Suresh, Ali Saleh Alshebami, Mahmaod Alrawad
    • Investigation
      Chandni M.C., Reshmi V. Suresh, Abu Elnasr E. Sobaih, Mahmaod Alrawad
    • Methodology
      Chandni M.C., Reshmi V. Suresh, Ali Saleh Alshebami, Mahmaod Alrawad
    • Resources
      Chandni M.C., Reshmi V. Suresh, Abu Elnasr E. Sobaih
    • Software
      Chandni M.C., Reshmi V. Suresh, Ali Saleh Alshebami, Abu Elnasr E. Sobaih, Mahmaod Alrawad
    • Supervision
      Chandni M.C., Reshmi V. Suresh, Ali Saleh Alshebami, Abu Elnasr E. Sobaih, Mahmaod Alrawad
    • Writing – original draft
      Chandni M.C., Reshmi V. Suresh
    • Formal Analysis
      Reshmi V. Suresh, Abu Elnasr E. Sobaih, Mahmaod Alrawad
    • Visualization
      Reshmi V. Suresh
    • Project administration
      Ali Saleh Alshebami, Abu Elnasr E. Sobaih, Mahmaod Alrawad
    • Validation
      Ali Saleh Alshebami
    • Writing – review & editing
      Ali Saleh Alshebami