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Predicting trust in online advertising with an SEM-artificial neural network approach · Study

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Predicting trust in online advertising with an SEM-artificial neural network approach

Lai-Ying Leong, Teck-Soon Hew, Keng‐Boon Ooi, Yogesh Kumar Dwivedi

2020-08-08articleExpert Systems with Applications114 citationsclosed

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Technology Adoption and User Behaviour Customer Service Quality and Loyalty Digital Marketing and Social Media

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Citations in this library

Stored only when both papers are in the corpus — 114 citations exist upstream.

References

1994The Commitment-Trust Theory of Relationship Marketing

1973Job Market Signaling

1998Not So Different After All: A Cross-Discipline View Of Trust

2003Trust and TAM in Online Shopping: An Integrated Model1

1994Determinants of Long-Term Orientation in Buyer-Seller Relationships

1990A Model of Distributor Firm and Manufacturer Firm Working Partnerships

2002Developing and Validating Trust Measures for e-Commerce: An Integrative Typology

1990Relationship Quality in Services Selling: An Interpersonal Influence Perspective

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2021The Dark Side of Mobile Learning via Social Media: How Bad Can It Get?

2021Based on the multi-assessment model: Towards a new context of combining the artificial neural network and structural equation modelling: A review

2024An SEM-ANN Approach - Guidelines in Information Systems Research

2022Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach

2022The cognitive-affective nexus on mobile payment continuance intention during the COVID-19 pandemic

Details

Year2020

Typearticle

VenueExpert Systems with Applications

Languageen

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Identifiers

doi10.1016/j.eswa.2020.113849

openalex_workW3048352145

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