Evidence map›Paper›PMID 27652150›Full record

ArticleSpringerPlus2016

An empirical research on customer satisfaction study: a consideration of different levels of performance.

Yu-Cheng Lee, Yu-Che Wang, Shu-Chiung Lu, Yi-Fang Hsieh, Chih-Hung Chien, Sang-Bing Tsai, Weiwei Dong

Abstract read
In one paragraph

Article in SpringerPlus, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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  6. The Development Evaluation of Economic Zones in China.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.

Yu-Cheng LeeDepartment of Technology Management, Chung-Hua University, Hsinchu, 300 Taiwan.
Yu-Che WangDepartment of Business Administration, Chung-Hua University, Hsinchu, 300 Taiwan.
Shu-Chiung LuPhD Program of Technology Management, Chung-Hua University, Hsinchu, 300 Taiwan ; Department of Food and Beverage Management, Lee-Ming Institute of Technology, New Taipei City, 243 Taiwan.
Yi-Fang HsiehDepartment of Food and Beverage Management, Taipei College of Maritime Technology, New Taipei City, 251 Taiwan.
Chih-Hung ChienPhD Program of Technology Management, Chung-Hua University, Hsinchu, 300 Taiwan ; Department of Business Administration, Lee-Ming Institute of Technology, New Taipei City, 243 Taiwan.
Sang-Bing TsaiZhongshan Institute, University of Electronic Science and Technology of China, Dongguan, 528402 Guangdong China ; School of Economics and Management, Shanghai Maritime University, Shanghai, 201306 China ; Law School, Nankai University, Tianjin, 300071 China ; School of Business, Dalian University of Technology, Panjin, 124221 China ; College of Business Administration, Dongguan University of Technology, Dongguan, 523808 Guangdong China ; Department of Psychology, Universidad Santo Tomas de Oriente y Medio Día, Granada, Nicaragua.
Weiwei DongSchool of Economics and Management, Shanghai Institute of Technology, Shanghai, 201418 China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Customer satisfaction is the key factor for successful and depends highly on the behaviors of frontline service providers. Customers should be managed as assets, and that customers vary in their needs, preferences, and buying behavior. This study applied the Taiwan Customer Satisfaction Index model to a tourism factory to analyze customer satisfaction and loyalty. We surveyed 242 customers served by one tourism factory organizations in Taiwan. A partial least squares was performed to analyze and test the theoretical model. The results show that perceived quality had the greatest influence on the customer satisfaction for satisfied and dissatisfied customers. In addition, in terms of customer loyalty, the customer satisfaction is more important than image for satisfied and dissatisfied customers. The contribution of this paper is to propose two satisfaction levels of CSI models for analyzing customer satisfaction and loyalty, thereby helping tourism factory managers improve customer satisfaction effectively. Compared with traditional techniques, we believe that our method is more appropriate for making decisions about allocating resources and for assisting managers in establishing appropriate priorities in customer satisfaction management.

Indexed as

Business managementCustomer satisfactionPartial least squaresService managementTourism factory industry

Identifiers

PMID27652150
PMCPMC5025411

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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.