Evidence map›Paper›PMID 30498921›Full record

ArticleEnvironmental monitoring and assessment2018

Enhancing the effectiveness of AHP for environmental performance assessment of Thailand and Taiwan's food industry.

Anirut Pipatprapa, Hsiang-Hsi Huang, Ching-Hsu Huang

Abstract read
PubMed Publisher
In one paragraph

Article in Environmental monitoring and assessment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Proposal of a New Orange Selection Process Using Sensory Panels and AHP.International journal of environmental research and public health · 2021
    Article
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

3 authors.

Anirut PipatprapaDepartment of Management, Business Administration Faculty, Rajamangala University of Technology Isan, No. 744, Sura Narai Road, Mueang District, Nakhon Ratchasima Province, 30000, Thailand. anirut87@hotmail.com.
Hsiang-Hsi HuangDepartment of Industrial Management, National Pingtung University of Science and Technology, No. 1 Hseuh-Fu Road, Neipu, Pingtung, 912, Taiwan.
Ching-Hsu HuangDepartment of Hotel and Restaurant Management, National Pingtung University of Science and Technology, No. 1 Hseuh-Fu Road, Neipu, Pingtung, 912, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The concept of green manufacturing is emerging as a means of enhancing a firm's competitiveness through intelligent systems and process improvement to eliminate adverse effects on the environment. However, environmental performance (EPA) is challenging from the decision-making perspective because of difficulty determining and prioritising the proper factors that have significant effect on a firm's EPA. This study was conducted with the objective of enhancing the effectiveness of the analytic hierarchy process (AHP) to assess EPA by integrating exploratory factor analysis and confirmatory factory analysis to validate suitable criteria and sub-criteria. A questionnaire survey was employed as a tool to collect data from 341 managers of Thailand and Taiwan's food industry and the AHP approach used for normalisation, ranking, and simulation of sensitivity analysis. The results obtained indicate that quality policy, quality assurance, and quality control, respectively, are the three most important factors in the measurement of EPA, whereas organisational support in innovativeness is assigned the lowest priority. Based on simulations for sensitivity analysis, the results can be applied to guide managers' decisions in the course of steering their firms towards sustainable manufacturing.

Indexed as

Food QualityQuality ControlSustainable DevelopmentCommerceConservation of Natural ResourcesEnvironmental MonitoringFood IndustryHumansSurveys and QuestionnairesTaiwanThailandAnalytical hierarchy processDecision support systemEnvironmental performanceFood industryFood quality managementSustainable manufacturing

Identifiers

PMID30498921

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.