Latent-Path Modeling Dengan Partial Least Square Guna Memprediksi Pengaruh Faktor-Faktor Isu Lingkungan Terhadap Sistem Pengendalian Manajemen Lingkungan

This study explored the recently topic of environmental management control system issue which has't been conducted by Indonesian's researcher in accounting. The purpose of this study is to predict the effect of perceived factors related to environmental issues such as perceived ecological...

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Main Authors: F.X. Kurniawan Tjakrawala, Gregorius Arvan
Format: Article
Language:English
Published: Universitas Kristen Satya Wacana 2016-06-01
Series:Jurnal Ekonomi dan Bisnis
Subjects:
Online Access:http://ejournal.uksw.edu/jeb/article/view/256
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spelling doaj-e8201452d8c14b9585f561c38023b9772020-11-24T21:00:18ZengUniversitas Kristen Satya WacanaJurnal Ekonomi dan Bisnis1979-64712528-01472016-06-01182173210.24914/jeb.v18i2.256233Latent-Path Modeling Dengan Partial Least Square Guna Memprediksi Pengaruh Faktor-Faktor Isu Lingkungan Terhadap Sistem Pengendalian Manajemen LingkunganF.X. Kurniawan Tjakrawala0Gregorius Arvan1Fakultas Ekonomi, Universitas TarumanagaraKantor Akuntan Publik Ernst and Young IndonesiaThis study explored the recently topic of environmental management control system issue which has't been conducted by Indonesian's researcher in accounting. The purpose of this study is to predict the effect of perceived factors related to environmental issues such as perceived ecological uncertainty; the degree of environmental proactivity; and stakeholders pressure that affected environmental management control systems. Primary data collection through survey method was done by distributing 325 sets of questionnaires and addressed to the managerial level of respondents who work in the ten of manufacturing companies listed on IDX, with the response rate of 19,70 percent. This study implements a latent-path modeling. Due to relatively few sample (N=64), this study did not allow covariancebased SEM to be applied in testing the hypotheses. So then the three hypotheses of this study were tested by the technique of partial least squares (PLS) using SmartPLS v.2 package, which applied the component-based SEM approach. The hypotheses test were empirically proved the ability to predict that all of these environmental issues positively influenced the environmental management control systems significantly. In the future, similar study still probably to be developed (in Indonesia) based on covariance-based SEM to gain the clear theoretical confirmation.http://ejournal.uksw.edu/jeb/article/view/256environmental management control systemecological uncertaintydegree of environmental proactivitystakeholders pressurelatent-path modelingcovariance-based SEMcomponent-based SEMpartial least square
collection DOAJ
language English
format Article
sources DOAJ
author F.X. Kurniawan Tjakrawala
Gregorius Arvan
spellingShingle F.X. Kurniawan Tjakrawala
Gregorius Arvan
Latent-Path Modeling Dengan Partial Least Square Guna Memprediksi Pengaruh Faktor-Faktor Isu Lingkungan Terhadap Sistem Pengendalian Manajemen Lingkungan
Jurnal Ekonomi dan Bisnis
environmental management control system
ecological uncertainty
degree of environmental proactivity
stakeholders pressure
latent-path modeling
covariance-based SEM
component-based SEM
partial least square
author_facet F.X. Kurniawan Tjakrawala
Gregorius Arvan
author_sort F.X. Kurniawan Tjakrawala
title Latent-Path Modeling Dengan Partial Least Square Guna Memprediksi Pengaruh Faktor-Faktor Isu Lingkungan Terhadap Sistem Pengendalian Manajemen Lingkungan
title_short Latent-Path Modeling Dengan Partial Least Square Guna Memprediksi Pengaruh Faktor-Faktor Isu Lingkungan Terhadap Sistem Pengendalian Manajemen Lingkungan
title_full Latent-Path Modeling Dengan Partial Least Square Guna Memprediksi Pengaruh Faktor-Faktor Isu Lingkungan Terhadap Sistem Pengendalian Manajemen Lingkungan
title_fullStr Latent-Path Modeling Dengan Partial Least Square Guna Memprediksi Pengaruh Faktor-Faktor Isu Lingkungan Terhadap Sistem Pengendalian Manajemen Lingkungan
title_full_unstemmed Latent-Path Modeling Dengan Partial Least Square Guna Memprediksi Pengaruh Faktor-Faktor Isu Lingkungan Terhadap Sistem Pengendalian Manajemen Lingkungan
title_sort latent-path modeling dengan partial least square guna memprediksi pengaruh faktor-faktor isu lingkungan terhadap sistem pengendalian manajemen lingkungan
publisher Universitas Kristen Satya Wacana
series Jurnal Ekonomi dan Bisnis
issn 1979-6471
2528-0147
publishDate 2016-06-01
description This study explored the recently topic of environmental management control system issue which has't been conducted by Indonesian's researcher in accounting. The purpose of this study is to predict the effect of perceived factors related to environmental issues such as perceived ecological uncertainty; the degree of environmental proactivity; and stakeholders pressure that affected environmental management control systems. Primary data collection through survey method was done by distributing 325 sets of questionnaires and addressed to the managerial level of respondents who work in the ten of manufacturing companies listed on IDX, with the response rate of 19,70 percent. This study implements a latent-path modeling. Due to relatively few sample (N=64), this study did not allow covariancebased SEM to be applied in testing the hypotheses. So then the three hypotheses of this study were tested by the technique of partial least squares (PLS) using SmartPLS v.2 package, which applied the component-based SEM approach. The hypotheses test were empirically proved the ability to predict that all of these environmental issues positively influenced the environmental management control systems significantly. In the future, similar study still probably to be developed (in Indonesia) based on covariance-based SEM to gain the clear theoretical confirmation.
topic environmental management control system
ecological uncertainty
degree of environmental proactivity
stakeholders pressure
latent-path modeling
covariance-based SEM
component-based SEM
partial least square
url http://ejournal.uksw.edu/jeb/article/view/256
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