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.
APA4ort.xyz Knowledge Graph. (2026). Treat for affection? Customers’ differentiated responses to pro-customer deviance. Retrieved May 24, 2026, from https://4ort.xyz/entity/treat-for-affection-customers-differentiated-responses-to-pro-customer-deviance
MLA“Treat for affection? Customers’ differentiated responses to pro-customer deviance.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/treat-for-affection-customers-differentiated-responses-to-pro-customer-deviance.
BibTeX@misc{4ortxyz_treat-for-affection-customers-differentiated-responses-to-pro-customer-deviance_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Treat for affection? Customers’ differentiated responses to pro-customer deviance}}, year = {2026}, url = {https://4ort.xyz/entity/treat-for-affection-customers-differentiated-responses-to-pro-customer-deviance}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Treat for affection? Customers’ differentiated responses to pro-customer deviance — https://4ort.xyz/entity/treat-for-affection-customers-differentiated-responses-to-pro-customer-deviance (retrieved 2026-05-24)
