Safety, sustainability, and consumers' perceived value in affecting purchase intentions toward organic food

Shu Yen Hsu, Chiao Chen Chang, Tyrone T. Lin

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

Abstract

This study aims to investigate the influence of the corporate social responsibility for environmental protection on consumers' attitudes and purchase intentions toward organic food under the circumstances of global warming and frequent food safety problems. Samples are collected by questionnaires with a total of 177 valid questionnaires. The data are analyzed by Structural Equation Modeling (SEM) and the result shows that corporate social responsibility has a significant influence on consumers' perceived value. Moreover, consumers' perceived value and corporate social responsibility are the important factors of affecting consumers' attitudes and purchase intentions. And consumers' attitudes also has an indirect effect on food safety concern and purchase intentions. The results of the study would serve as a reference for corporations to pursue economic benefit as well as to fulfill corporate social responsibility for the goal of sustainable management.

Original languageEnglish
Title of host publication2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
PublisherIEEE Computer Society
Pages2312-2316
Number of pages5
Volume2017-December
ISBN (Electronic)9781538609484
DOIs
Publication statusPublished - Feb 9 2018
Externally publishedYes
Event2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017 - Singapore, Singapore
Duration: Dec 10 2017Dec 13 2017

Other

Other2017 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2017
Country/TerritorySingapore
CitySingapore
Period12/10/1712/13/17

Keywords

  • organic food
  • perceived value
  • purchase intention
  • Safety
  • sustainability

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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