Evidence map›Paper›PMID 28873418›Full record

ArticlePloS one2017

Empirical research on Kano's model and customer satisfaction.

Feng-Han Lin, Sang-Bing Tsai, Yu-Cheng Lee, Cheng-Fu Hsiao, Jie Zhou, Jiangtao Wang, Zhiwen Shang

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  17. Novel Method for Perceiving Key Requirements of Customer Collaboration Low-Carbon Product Design.International journal of environmental research and public health · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Feng-Han LinPh.D. Program of Technology Management, Chung Hua University, Hsin Chu City, Taiwan.
Sang-Bing TsaiZhongshan Institute, University of Electronic Science and Technology of China, Guangdong, China.
Yu-Cheng LeeDepartment of Technology Management, Chung Hua University, Hsin Chu City, Taiwan.
Cheng-Fu HsiaoDepartment of Hospitality Management, Hsing Wu University, New Taipei City, Taiwan.
Jie ZhouCollege of Tourism and Service Management, Nankai University, Tianjin, China.
Jiangtao WangZhongshan Institute, University of Electronic Science and Technology of China, Guangdong, China.
Zhiwen ShangChina Academy of Corporate Governance, Nankai University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Products are now developed based on what customers desire, and thus attractive quality creation has become crucial. In studies on customer satisfaction, methods for analyzing quality attributes and enhancing customer satisfaction have been proposed to facilitate product development. Although substantial studies have performed to assess the impact of the attributes on customer satisfaction, little research has been conducted that quantitatively calculate the odds of customer satisfaction for the Kano classification, fitting a nonlinear relationship between attribute-level performance and customer satisfaction. In the present study, the odds of customer satisfaction were determined to identify the classification of quality attributes, and took customer psychology into account to suggest how decision-makers should prioritize the allocation of resources. A novel method for quantitatively assessing quality attributes was proposed to determine classification criteria and fit the nonlinear relationship between quality attributes and customer satisfaction. Subsequently, a case study was conducted on bicycle user satisfaction to verify the novel method. The concept of customer satisfaction odds was integrated with the value function from prospect theory to understand quality attributes. The results of this study can serve as a reference for product designers to create attractive quality attributes in their products and thus enhance customer satisfaction.

Indexed as

Consumer BehaviorPersonal SatisfactionAdultAgedBicyclingDecision MakingEmpirical ResearchFemaleHumansMaleMiddle AgedModels, TheoreticalNigeriaOdds RatioQuality of Health CareYoung Adult

Identifiers

PMID28873418
PMCPMC5584930

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.