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An empirical investigation of pay‐on‐delivery mode of payment and social media constructs as predictors of online purchase intentions

Dados Bibliográficos

ID12705488
AutoresUrvashi Tandon (0000-0001-6592-101X, Chitkara Business School Chitkara University Rajpura Punjab India, autor correspondente), Sakshi Sakshi (0000-0001-6617-0457, Haryana School of Business Guru Jambheshwar University of Science and Technology Hisar Haryana India, autor correspondente)
Ano2020
Data de publicação2020-09-18
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoJournal of Public Affairs (JOURNAL)
Identificadores do periódicoISSN: 1472-3891 • E-ISSN: 1479-1854
EditoraWiley (PUBLISHER • GB)
DOI10.1002/pa.2370
OpenAlexW3101609263
IdiomaEN
Citações recebidas1
Referências citadas45

The present research study has examined social media constructs, pay-on-delivery (POD) mode of payment, and its relationship with purchase intentions while making online purchases. The data were collected through an online as well as an offline survey from respondents in North Indian states. An online survey questionnaire link was shared on different social media platforms and social networking sites. A total of 385 responses were received, of which 354 responses were considered for the study. Results revealed that ratings and reviews and recommendations and referrals are significant social media constructs. Social media constructs had a positive association with trust. Furthermore, the POD mode of payment also emerged as a strong and significant antecedent of trust which in turn leads to an increase in purchase intentions. The present study contributes to the literature by analyzing the impact of the POD mode of payment and social media constructs on trust. There is sparse research on the impact of payment mechanisms in generating trust toward online shopping a gap which the study has tried to fill up

Advertising · Antecedent (behavioral psychology · Business · Empirical research · Mode (computer interface · Payment · Social media · World Wide Web · Computer Science · Consumer Retail Behavior Studies · Digital Marketing and Social Media · Psychology · Social Psychology · Technology Adoption and User Behaviour · Marketing

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  • Maximizing the spread of influence through a social network

    Open Access•David Kempe, Jon Kleinberg et al.•Proceedings of the ninth ACM…•2003

  • A social commerce investigation of the role of trust in a social networking site on purchase intentions

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  • On the evaluation of structural equation models

    Open Access•Richard P Bagozzi, Y Yi•Journal of the Academy of…•1988

  • Trust and TAM in Online Shopping

    David Gefen, Elena Karahanna et al.•MIS Quarterly•2003

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    Open Access•Claes Fornell, David F Larcker•Journal of Marketing Research•1981

  • News Recommendations from Social Media Opinion Leaders

    Open Access•Jason Turcotte, Chance York et al.•Journal of Computer-Mediated…•2015

  • Consumer attitudes towards online shopping

    Open Access•Mutaz M Al‐debei, Mamoun N Akroush et al.•Internet Research•2015

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    Jennifer Crocker, Amy Canevello•Journal of Personality and Social…•2008

  • Trust and communicated attributions in close relationships

    John K Rempel, Michael Ro et al.•Journal of Personality and Social…•2001

Obras citantes distintas1
Citações por ano0,33
Intervalo de citações2023 - 2023 (1)
Velocidade de citaçãohistorical
Altamente citadoNão
Tipos de citaçãoNeutras: 1
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