Digital Pharmacy in Industry 4.0: A Case of Consumer Buying Behaviour Pattern Using TAM Model

Sanjukta Ghosh*, Sachi Nandan Mohanty, Richa Goel, Tilottama Singh, Sukanta Kumar Baral

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

The research seeks to identify the elements of consumer purchase behavior to shop through digital or E pharmacy through social media influence in India: based Technology Acceptance Model (TAM) which is popularly used in the field of behavioral science. The study is to determine the impact and relationship among the independent variables trust, perceived usefulness and perceived intention on online purchase of medicines through social media influence which is considered as a dependent variable in this study. A descriptive qualitative exploration was conducted through a structured open ended questionnaire from the 100 respondents across different age groups pertaining to Indian context especially millennial using a structured, self-administered and internet mediated survey. The study is cross sectional which studies the relationship between variables and influence of the social media on the purchase of online medicines. The findings shows that there is a positive relationship amongst the independent variables trust, perceived usefulness and perceived intention on the online purchase of medicines through social media influence but perceived intention comes out to be more important construct for buying medicines online along with the trust.

Original languageEnglish
Title of host publicationIntelligent Computing and Networking - Proceedings of IC-ICN 2023
EditorsValentina Emilia Balas, Vijay Bhaskar Semwal, Anand Khandare
PublisherSpringer Science and Business Media Deutschland GmbH
Pages47-57
Number of pages11
ISBN (Print)9789819931767
DOIs
Publication statusPublished - 2023
EventIntelligent Computing and Networking - Proceedings of IC-ICN 2023 - Mumbai, India
Duration: 24-02-202325-02-2023

Publication series

NameLecture Notes in Networks and Systems
Volume699 LNNS
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Conference

ConferenceIntelligent Computing and Networking - Proceedings of IC-ICN 2023
Country/TerritoryIndia
CityMumbai
Period24-02-2325-02-23

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Digital Pharmacy in Industry 4.0: A Case of Consumer Buying Behaviour Pattern Using TAM Model'. Together they form a unique fingerprint.

Cite this