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Article
Publication date: 20 December 2024

Tata Sai Vijay, Sanjeev Prashar and Shiwangi Singh

Existing studies have focused on shoppers’ characteristics, highlighting a gap in research in terms of considering e-retailers’ characteristics. Accordingly, this study aims to…

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Abstract

Purpose

Existing studies have focused on shoppers’ characteristics, highlighting a gap in research in terms of considering e-retailers’ characteristics. Accordingly, this study aims to map e-retailer characteristics and their effect on (a) satisfaction and regret and (b) the intentions to write a review and repurchase intention. Moreover, this research also explores the role of confirmation as a moderator.

Design/methodology/approach

The present paper utilises a hierarchical regression technique and structured equation modelling to test the conceptual framework with 400 responses. The hypotheses were tested with shoppers of two leading e-commerce firms, namely Amazon and Flipkart.

Findings

This study highlights several differences in the characteristics of e-retailers and their impact on buyers’ satisfaction and regret. Furthermore, a few discrepancies are observed in the case of shoppers’ post-purchase behavioural intentions to write reviews and repurchase intention.

Originality/value

Based on the findings, the research presents implications for e-retailers, including Amazon and Flipkart.

Details

International Journal of Retail & Distribution Management, vol. 53 no. 3
Type: Research Article
ISSN: 0959-0552

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Article
Publication date: 15 January 2025

Sunil Kumar Yadav, Shiwangi Singh and Santosh Kumar Prusty

This study develops a model for understanding the relationships and interactions between the antecedents influencing inter-organisational collaboration in the healthcare sector.

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Abstract

Purpose

This study develops a model for understanding the relationships and interactions between the antecedents influencing inter-organisational collaboration in the healthcare sector.

Design/methodology/approach

A comprehensive and systematized search was conducted on Scopus to identify all relevant studies investigating the antecedents of inter-organisational collaboration in the healthcare sector. Antecedents were identified based on insights from experts and a systematised search method. A modified total interpretive structural model (m-TISM) was used to determine the hierarchical relationships between the identified antecedents. Finally, the Matrice d’Impacts Croisés Multiplication Appliquée à un Classement (MICMAC) analysis was employed to categorise the identified antecedents into clusters based on their driving or dependence influence.

Findings

Eight antecedents of inter-organisational collaboration in the healthcare sector were identified. The results revealed that having a shared vision and goals, digital infrastructure and proximity are the most crucial antecedents of inter-organisational collaboration in healthcare, along with leadership, shared resources and communication.

Research limitations/implications

Future research on inter-organisational collaboration in the healthcare sector can include additional factors that may influence collaboration beyond those currently studied. Structural equation modelling can be employed to validate the proposed model.

Originality/value

The study proposes a hierarchical model for inter-organisational collaboration in the healthcare sector. The framework will help healthcare executives and academicians identify key antecedents that are most critical to enabling effective collaboration.

Details

Journal of Health Organization and Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1477-7266

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