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E-service quality and e-retailers: Attribute-based multi-dimensional scaling

Research article (Computers in Human Behavior, 2020) · cited 94× · AI/ML
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E-service quality and e-retailers: Attribute-based multi-dimensional scaling

Summary

E-service quality and e-retailers: Attribute-based multi-dimensional scaling is a scholarly article[1].

Key Facts

  • E-service quality and e-retailers: Attribute-based multi-dimensional scaling's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). E-service quality and e-retailers: Attribute-based multi-dimensional scaling. Retrieved May 24, 2026, from https://4ort.xyz/entity/e-service-quality-and-e-retailers-attribute-based-multi-dimensional-scaling
MLA “E-service quality and e-retailers: Attribute-based multi-dimensional scaling.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/e-service-quality-and-e-retailers-attribute-based-multi-dimensional-scaling.
BibTeX @misc{4ortxyz_e-service-quality-and-e-retailers-attribute-based-multi-dimensional-scaling_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{E-service quality and e-retailers: Attribute-based multi-dimensional scaling}}, year = {2026}, url = {https://4ort.xyz/entity/e-service-quality-and-e-retailers-attribute-based-multi-dimensional-scaling}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): E-service quality and e-retailers: Attribute-based multi-dimensional scaling — https://4ort.xyz/entity/e-service-quality-and-e-retailers-attribute-based-multi-dimensional-scaling (retrieved 2026-05-24)

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