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E-Grocery Retailing Mobile Application: Discerning Determinants of Repatronage Intentions in an Emerging Economy.

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Title: E-Grocery Retailing Mobile Application: Discerning Determinants of Repatronage Intentions in an Emerging Economy.
Authors: Singh, Pratibha (AUTHOR), Gupta, Manali (AUTHOR), Kumar, Amresh (AUTHOR), Sikdar, Pallab (AUTHOR), Sinha, Neena (AUTHOR)
Source: International Journal of Human-Computer Interaction. Dec 2021, Vol. 37 Issue 19, p1783-1798. 16p. 5 Diagrams, 7 Charts, 1 Graph.
Subjects: Emerging markets, Mobile apps, Confirmatory factor analysis, Structural equation modeling, Customer satisfaction, Quality of service
Abstract: The study attempts to identify the influential antecedents of customer satisfaction and repatronage intentions in the context of e-grocery retailing through mobile applications. Literature survey based on qualitative thematic approach was adopted for the study. The reviewed articles were selected based on Critical Appraisal Skills Programme (CASP) framework. The model was subjected to reliability and validity determination through Confirmatory Factor Analysis (CFA). The hypotheses were tested through Structural Equation Modeling (SEM). SEM results revealed that out of the four proposed antecedents i.e. online tracking, design aesthetics, online rating & review, and perceived security risk, the initial three bear significant positive causal relationship with customer satisfaction. The existing study gives a perspective of e-grocery retailing based mobile applications in an emerging market, which is a departure from the past studies which are based on developed markets characterized by higher technology penetration and awareness amongst inhabiting populace. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Psychology and Behavioral Sciences Collection
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  Data: E-Grocery Retailing Mobile Application: Discerning Determinants of Repatronage Intentions in an Emerging Economy.
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  Data: <searchLink fieldCode="AR" term="%22Singh%2C+Pratibha%22">Singh, Pratibha</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Gupta%2C+Manali%22">Gupta, Manali</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kumar%2C+Amresh%22">Kumar, Amresh</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sikdar%2C+Pallab%22">Sikdar, Pallab</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sinha%2C+Neena%22">Sinha, Neena</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Dec 2021, Vol. 37 Issue 19, p1783-1798. 16p. 5 Diagrams, 7 Charts, 1 Graph.
– Name: Subject
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  Data: <searchLink fieldCode="DE" term="%22Emerging+markets%22">Emerging markets</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+apps%22">Mobile apps</searchLink><br /><searchLink fieldCode="DE" term="%22Confirmatory+factor+analysis%22">Confirmatory factor analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Structural+equation+modeling%22">Structural equation modeling</searchLink><br /><searchLink fieldCode="DE" term="%22Customer+satisfaction%22">Customer satisfaction</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+service%22">Quality of service</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The study attempts to identify the influential antecedents of customer satisfaction and repatronage intentions in the context of e-grocery retailing through mobile applications. Literature survey based on qualitative thematic approach was adopted for the study. The reviewed articles were selected based on Critical Appraisal Skills Programme (CASP) framework. The model was subjected to reliability and validity determination through Confirmatory Factor Analysis (CFA). The hypotheses were tested through Structural Equation Modeling (SEM). SEM results revealed that out of the four proposed antecedents i.e. online tracking, design aesthetics, online rating & review, and perceived security risk, the initial three bear significant positive causal relationship with customer satisfaction. The existing study gives a perspective of e-grocery retailing based mobile applications in an emerging market, which is a departure from the past studies which are based on developed markets characterized by higher technology penetration and awareness amongst inhabiting populace. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=153407814
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1080/10447318.2021.1912471
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      – Code: eng
        Text: English
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        PageCount: 16
        StartPage: 1783
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        Type: general
      – SubjectFull: Mobile apps
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      – SubjectFull: Confirmatory factor analysis
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      – SubjectFull: Structural equation modeling
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      – SubjectFull: Customer satisfaction
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      – SubjectFull: Quality of service
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            NameFull: Singh, Pratibha
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            NameFull: Kumar, Amresh
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            NameFull: Sikdar, Pallab
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              M: 12
              Text: Dec 2021
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