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Exploring the relationship between store image attributes, satisfaction, behavioural intention, and marital status of grocery consumers: a moderated mediation analysis

P. Parmod et al.

International Journal of Electronic Marketing and Retailing2026https://doi.org/10.1504/ijemr.2026.151732article
ABDC C
Weight
0.50

What the paper says

This paper tests the causal relationships between store image attributes (SIA) and behavioural intentions (BI) in the Indian grocery context, with satisfaction (SAT) acting as a mediator. Further, it seeks to establish if the marital status of shoppers influences the relationships between SIA, BI, and SAT. For this purpose, data were collected through a standard questionnaire administered to 738 urban grocery shoppers, which was analysed using confirmatory factor analysis to validate the reliability and validity of the constructs. The findings highlight that satisfaction mediates the relationship between SIA and BI. The study enriches one's insights into the interrelationships between SIA, SAT, and BI in India's dynamic grocery market, which would help formulate targeted retailing and promotional strategies. The novelty of this study is the identification of marital status as a moderator in the relationship between SIA and BI, and SAT and BI, which contributes to the existing pertinent literature.

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https://doi.org/https://doi.org/10.1504/ijemr.2026.151732

Or copy a formatted citation

@article{p.2026,
  title        = {{Exploring the relationship between store image attributes, satisfaction, behavioural intention, and marital status of grocery consumers: a moderated mediation analysis}},
  author       = {P. Parmod et al.},
  journal      = {International Journal of Electronic Marketing and Retailing},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1504/ijemr.2026.151732},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.