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Author:

Shah, Sayed Kifayat (Shah, Sayed Kifayat.) | Zhongjun, Tang (Zhongjun, Tang.) (Scholars:唐中君) | Sattar, Abdul (Sattar, Abdul.) | XinHao, Zhou (XinHao, Zhou.)

Indexed by:

SSCI EI Scopus

Abstract:

With the enhancement of consumer's environmental awareness, environmental knowledge and health consciousness attitude, environment friendly product and services have attracted much attention. The main objective of this study was to analyze the determinants of consumer's adoption intention to 5G services. Value adaptation Model (VAM) model was extended to develop a correlational model by adding three factors: environmental awareness, environmental knowledge, and health consciousness attitude to pay for 5G services. The model was tested based on online survey data from 423 respondents in China applying structural equation modelling (SEM) approach. The final results illustrate the significant relationship between environmental awareness, knowledge and health-consciousness attitude, which further influences consumer's intentions to purchase 5G. In addition, compared with previous models, this model can improve the explained variance. The significance of the study for managers and researchers and some limitations are also discussed. © 2021 Elsevier Ltd

Keyword:

Health Surveys

Author Community:

  • [ 1 ] [Shah, Sayed Kifayat]College of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhongjun, Tang]College of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 3 ] [Sattar, Abdul]College of Economics and Management, Beijing University of Technology, Beijing, China
  • [ 4 ] [XinHao, Zhou]College of Economics and Management, Beijing University of Technology, Beijing, China

Reprint Author's Address:

  • [shah, sayed kifayat]college of economics and management, beijing university of technology, beijing, china

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Source :

Technology in Society

ISSN: 0160-791X

Year: 2021

Volume: 65

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 74

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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