Reconceptualizing personalized recommendations as dynamic signals: a consumer’s perspective

Purpose This paper aims to understand the consumer perception of personalization in personalized recommendations. Design/methodology/approach A qualitative approach consisting of in-depth interviews and focus group discussions was adopted. Findings Prior research suggests that users evaluate the quality of personalized recommendations (PRs) based on accuracy, novelty and diversity. Indian consumers, however, also consider factors such as adaptation, observable bias and redundancy in their perception of personalization. Secondly, consumers seek coherence in product information, collective consumer opinions, deals, popularity and endorsement badges when forming their opinions about PRs. Thirdly, although earlier research identifies lack of trust as the primary inhibitor of online purchase intention, the findings of this study indicate that with experience, consumers tend to focus more on risk minimization. Finally, Indian consumers are increasingly aware of the influence of PRs on impulse purchases and the sustainability of their consumption. Research limitations/implications This study relies on qualitative techniques of in-depth interviews and focus group discussions, restricted to Indian consumers. The authors recommend a quantitative and cross-country approach to increase the generalizability. Practical implications The practical implications for practitioners from this study are to avoid the appearance of the same items multiple times in the recommendation, have a single list of recommendations and create nudges to help consumers consume responsibly. Originality/value Consumers perceive personalization as an evolving mechanism characterized by the absence of repetition and bias. Secondly, with accumulated experience, their evaluative focus transitions from establishing trust to minimizing perceived risk. Thirdly, consumers increasingly expect recommender systems to facilitate sustainable consumption practices – by not merely promoting environmentally responsible products but also constraining excessive consumption behaviors.

Authors

Institutions

Publication Details

Journal
Journal of Indian Business Research
Published
2025-09-22
DOI
https://doi.org/10.1108/jibr-01-2024-0019
Citations
1
Primary Topic
Service and Product Innovation
Type
article
Field-Weighted Citation Impact
2.07
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Reconceptualizing personalized recommendations as dynamic signals: a consumer’s perspective

Shobhana Chandra, Sanjeev Verma, Binilkumar Amarayil Sreeraman
1 citations
Journal of Indian Business Research
Service and Product Innovation
2.07
article

Reconceptualizing personalized recommendations as dynamic signals: a consumer’s perspective

Shobhana Chandra, Sanjeev Verma, Binilkumar Amarayil Sreeraman
article en
1 citations

Abstract

Purpose This paper aims to understand the consumer perception of personalization in personalized recommendations. Design/methodology/approach A qualitative approach consisting of in-depth interviews and focus group discussions was adopted. Findings Prior research suggests that users evaluate the quality of personalized recommendations (PRs) based on accuracy, novelty and diversity. Indian consumers, however, also consider factors such as adaptation, observable bias and redundancy in their perception of personalization. Secondly, consumers seek coherence in product information, collective consumer opinions, deals, popularity and endorsement badges when forming their opinions about PRs. Thirdly, although earlier research identifies lack of trust as the primary inhibitor of online purchase intention, the findings of this study indicate that with experience, consumers tend to focus more on risk minimization. Finally, Indian consumers are increasingly aware of the influence of PRs on impulse purchases and the sustainability of their consumption. Research limitations/implications This study relies on qualitative techniques of in-depth interviews and focus group discussions, restricted to Indian consumers. The authors recommend a quantitative and cross-country approach to increase the generalizability. Practical implications The practical implications for practitioners from this study are to avoid the appearance of the same items multiple times in the recommendation, have a single list of recommendations and create nudges to help consumers consume responsibly. Originality/value Consumers perceive personalization as an evolving mechanism characterized by the absence of repetition and bias. Secondly, with accumulated experience, their evaluative focus transitions from establishing trust to minimizing perceived risk. Thirdly, consumers increasingly expect recommender systems to facilitate sustainable consumption practices – by not merely promoting environmentally responsible products but also constraining excessive consumption behaviors.

Journal of Indian Business ResearchVol. 17(4)
Indian Institute of Technology Bombay (IN), Indian Institute of Packaging (IN)
Openalex Percentile: Top 10%
Service and Product Innovation
2.07
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.