THE EFFICACY OF TEA QUALITY FACTORS IMPACT ON TEA CONSUMERS' SATISFACTION FROM THE EXPERTS' VIEWPOINT

Sensory attributes are central to how tea quality is judged along the value chain, yet their relationship with consumer satisfaction remains thinly documented in Iran. This study examines aroma, flavor, and infusion color from the perspective of tea industry experts in Lahijan, Guilan Province. A descriptive–analytical design was used. Of 90 questionnaires distributed, 89 usable responses were obtained; items used a five-point Likert-type format and were analyzed with one-way analysis of variance (ANOVA) in SPSS. Mean satisfaction differed significantly across the four rating categories for aroma, F(3, 85) = 7.810, p < .001, η² ≈ .216; flavor, F(3, 85) = 11.676, p < .001, η² ≈ .292; and color, F(3, 85) = 8.973, p < .001, η² ≈ .241. Under the conventional benchmarks associated with Cohen (1988), all three estimates are large, with flavor the largest, followed by color and aroma. Because the three analyses are separate and the ratings come from experts rather than consumers, this ordering is descriptive and does not by itself show that the attributes differ in their effect on consumer satisfaction. The findings are discussed against recent consumer–sensory research showing that expert and consumer priorities can diverge, and the paper outlines practical measures for standardized sensory control, assessor training, and consumer-level testing in the Iranian tea industry, together with a design for a follow-up study capable of testing the attribute–satisfaction relationship directly.

Authors

Institutions

Publication Details

Journal
Economics Finance and Accounting
Published
2026-10-30
DOI
https://doi.org/10.59503/29538009-2026.3.19-138
Primary Topic
Sensory Analysis and Statistical Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE EFFICACY OF TEA QUALITY FACTORS IMPACT ON TEA CONSUMERS' SATISFACTION FROM THE EXPERTS' VIEWPOINT

TIGRAN MARTIROSYAN, Amir Nejadghanbar
1 links
Economics Finance and Accounting
Sensory Analysis and Statistical Methods
article

THE EFFICACY OF TEA QUALITY FACTORS IMPACT ON TEA CONSUMERS' SATISFACTION FROM THE EXPERTS' VIEWPOINT

TIGRAN MARTIROSYAN, Amir Nejadghanbar
article en

Abstract

Sensory attributes are central to how tea quality is judged along the value chain, yet their relationship with consumer satisfaction remains thinly documented in Iran. This study examines aroma, flavor, and infusion color from the perspective of tea industry experts in Lahijan, Guilan Province. A descriptive–analytical design was used. Of 90 questionnaires distributed, 89 usable responses were obtained; items used a five-point Likert-type format and were analyzed with one-way analysis of variance (ANOVA) in SPSS. Mean satisfaction differed significantly across the four rating categories for aroma, F(3, 85) = 7.810, p < .001, η² ≈ .216; flavor, F(3, 85) = 11.676, p < .001, η² ≈ .292; and color, F(3, 85) = 8.973, p < .001, η² ≈ .241. Under the conventional benchmarks associated with Cohen (1988), all three estimates are large, with flavor the largest, followed by color and aroma. Because the three analyses are separate and the ratings come from experts rather than consumers, this ordering is descriptive and does not by itself show that the attributes differ in their effect on consumer satisfaction. The findings are discussed against recent consumer–sensory research showing that expert and consumer priorities can diverge, and the paper outlines practical measures for standardized sensory control, assessor training, and consumer-level testing in the Iranian tea industry, together with a design for a follow-up study capable of testing the attribute–satisfaction relationship directly.

Economics Finance and AccountingVol. 3(19)
Armenian National Agrarian University (AM), Armenian State University of Economics (AM)
Openalex Percentile: Top 16%
Sensory Analysis and Statistical Methods
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.

Laika access coming soon