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…
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
Keywords
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.
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.