Marketing logistics and consumer behaviour: an empirical study on Indian e-shoppers

The unprecedented growth in e-commerce has brought forward a new paradigm in consumer behaviour and the strategic approach businesses take in reaching and retaining customers. The influence of marketing logistics (ML) on e-shoppers’ behaviour represents a critical facet of this shift. It bridges the gap between customer demand, consumer satisfaction and shapes e-shoppers’ behaviour. Recognising the role and potential of ML can enable e-retailers to effectively plan their operations towards customer satisfaction. The current study aims to examine the causal association between selected ML dimensions and customer satisfaction (CS). Additionally, it also examines the relationship between CS and the post-purchase behaviour of online shoppers. Data were randomly collected from 515 e-shoppers through a structured e-questionnaire and were analyzed using robust PLS-SEM and ANN techniques. The study revealed that except for product availability, all other ML dimensions such as product quality, tracking facility, and delivery speed significantly influence customer satisfaction. Subsequently, it also revealed that online marketers can significantly enhance customer loyalty, re-purchase intentions, and word-of-mouth by boosting customer satisfaction. This study highlights how e-retailers can strategically align their ML ecosystems to bring efficiency and reliability to the end-to-end shopping experience. Additionally, it has the potential to drive the advancement of e-commerce in India.

Authors

Institutions

Publication Details

Journal
Cogent Business & Management
Published
2024-09-02
DOI
https://doi.org/10.1080/23311975.2024.2397559
Citations
9
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
3.95
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Marketing logistics and consumer behaviour: an empirical study on Indian e-shoppers

M. Srivastava, Amgad S.D. Khaled, Thakur Digbijay Singh, Vipin Vihari Ram Tripathi et al.
9 citations
Cogent Business & Management
Consumer Retail Behavior Studies
3.95
article

Marketing logistics and consumer behaviour: an empirical study on Indian e-shoppers

M. Srivastava, Amgad S.D. Khaled, Thakur Digbijay Singh, Vipin Vihari Ram Tripathi, Rukmani Jaiswal
article en
9 citations

Abstract

The unprecedented growth in e-commerce has brought forward a new paradigm in consumer behaviour and the strategic approach businesses take in reaching and retaining customers. The influence of marketing logistics (ML) on e-shoppers’ behaviour represents a critical facet of this shift. It bridges the gap between customer demand, consumer satisfaction and shapes e-shoppers’ behaviour. Recognising the role and potential of ML can enable e-retailers to effectively plan their operations towards customer satisfaction. The current study aims to examine the causal association between selected ML dimensions and customer satisfaction (CS). Additionally, it also examines the relationship between CS and the post-purchase behaviour of online shoppers. Data were randomly collected from 515 e-shoppers through a structured e-questionnaire and were analyzed using robust PLS-SEM and ANN techniques. The study revealed that except for product availability, all other ML dimensions such as product quality, tracking facility, and delivery speed significantly influence customer satisfaction. Subsequently, it also revealed that online marketers can significantly enhance customer loyalty, re-purchase intentions, and word-of-mouth by boosting customer satisfaction. This study highlights how e-retailers can strategically align their ML ecosystems to bring efficiency and reliability to the end-to-end shopping experience. Additionally, it has the potential to drive the advancement of e-commerce in India.

Cogent Business & ManagementVol. 11(1)
Taiz University (YE), Management Sciences (United States) (US), Aljanad University for Science and Technology, Deen Dayal Upadhyaya Gorakhpur University (IN)
Decent work and economic growth
Openalex Percentile: Top 7%
Consumer Retail Behavior Studies
3.95
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.