The underlying drivers of underprivileged households' intention and behavior towards community forestry management: A study using structural equation modelling and artificial neural network approach

In acknowledging the significant role of forestry on the environmental, social, and economic sustainability of local communities, this study focused on examining how different factors affect the intentional behavior towards community forestry among the poor households in Malaysia. Employing theory o...

Full description

Saved in:
Bibliographic Details
Main Authors: Al Mamun, Abdullah, Fazal, Syed Ali, Masud, Muhammad Mehedi, Selvachandran, Ganeshsree, Zainol, Noor Raihani, Gai, Quek Shio
Format: Article
Published: MDPI 2020
Subjects:
Online Access:http://eprints.um.edu.my/31735/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.um.eprints.31735
record_format eprints
spelling my.um.eprints.317352022-10-20T03:14:44Z http://eprints.um.edu.my/31735/ The underlying drivers of underprivileged households' intention and behavior towards community forestry management: A study using structural equation modelling and artificial neural network approach Al Mamun, Abdullah Fazal, Syed Ali Masud, Muhammad Mehedi Selvachandran, Ganeshsree Zainol, Noor Raihani Gai, Quek Shio GE Environmental Sciences Q Science (General) T Technology (General) In acknowledging the significant role of forestry on the environmental, social, and economic sustainability of local communities, this study focused on examining how different factors affect the intentional behavior towards community forestry among the poor households in Malaysia. Employing theory of planned behavior (TPB) in an expanded model, this study collected data from 420 underprivileged households from 10 states in Malaysia using a survey questionnaire. Final analysis is performed using two methods, one being the well-established, conventional way of partial least square-structural equation modelling (PLS-SEM); the other being a frontier technology of computing using artificial neural network (ANN), which is generated through a deep learning algorithm to achieve the maximum possible accuracy for each of the five scenarios aforementioned. The study found that perceived benefits (PB) and eco-literacy (EL) have a significant positive effect on the attitude towards environment (ATE) while normative belief (NB) and motivation (MO) have a significant positive effect on subjective norms (SUN). Perceived control (PC) has a significant positive effect on perceived behavioral control (PBC). ATE, SUN, and PBC have a significant positive effect on the intention towards community forestry (ITCF), whereas the ITCF has a significant positive effect on community forestry adoption behavior (CFAB). When formulating and enforcing carbon reduction and poverty elevating programs through community forestry, the Malaysian government should consider the perceptions of poor families and the prerogative from their special reference groups to enhance the perceived ability of the vulnerable groups for positive and effective pro-environmental behavior that can lead to sustainable forestry management. MDPI 2020-09 Article PeerReviewed Al Mamun, Abdullah and Fazal, Syed Ali and Masud, Muhammad Mehedi and Selvachandran, Ganeshsree and Zainol, Noor Raihani and Gai, Quek Shio (2020) The underlying drivers of underprivileged households' intention and behavior towards community forestry management: A study using structural equation modelling and artificial neural network approach. Sustainability, 12 (18). ISSN 2071-1050, DOI https://doi.org/10.3390/su12187330 <https://doi.org/10.3390/su12187330>. 10.3390/su12187330
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic GE Environmental Sciences
Q Science (General)
T Technology (General)
spellingShingle GE Environmental Sciences
Q Science (General)
T Technology (General)
Al Mamun, Abdullah
Fazal, Syed Ali
Masud, Muhammad Mehedi
Selvachandran, Ganeshsree
Zainol, Noor Raihani
Gai, Quek Shio
The underlying drivers of underprivileged households' intention and behavior towards community forestry management: A study using structural equation modelling and artificial neural network approach
description In acknowledging the significant role of forestry on the environmental, social, and economic sustainability of local communities, this study focused on examining how different factors affect the intentional behavior towards community forestry among the poor households in Malaysia. Employing theory of planned behavior (TPB) in an expanded model, this study collected data from 420 underprivileged households from 10 states in Malaysia using a survey questionnaire. Final analysis is performed using two methods, one being the well-established, conventional way of partial least square-structural equation modelling (PLS-SEM); the other being a frontier technology of computing using artificial neural network (ANN), which is generated through a deep learning algorithm to achieve the maximum possible accuracy for each of the five scenarios aforementioned. The study found that perceived benefits (PB) and eco-literacy (EL) have a significant positive effect on the attitude towards environment (ATE) while normative belief (NB) and motivation (MO) have a significant positive effect on subjective norms (SUN). Perceived control (PC) has a significant positive effect on perceived behavioral control (PBC). ATE, SUN, and PBC have a significant positive effect on the intention towards community forestry (ITCF), whereas the ITCF has a significant positive effect on community forestry adoption behavior (CFAB). When formulating and enforcing carbon reduction and poverty elevating programs through community forestry, the Malaysian government should consider the perceptions of poor families and the prerogative from their special reference groups to enhance the perceived ability of the vulnerable groups for positive and effective pro-environmental behavior that can lead to sustainable forestry management.
format Article
author Al Mamun, Abdullah
Fazal, Syed Ali
Masud, Muhammad Mehedi
Selvachandran, Ganeshsree
Zainol, Noor Raihani
Gai, Quek Shio
author_facet Al Mamun, Abdullah
Fazal, Syed Ali
Masud, Muhammad Mehedi
Selvachandran, Ganeshsree
Zainol, Noor Raihani
Gai, Quek Shio
author_sort Al Mamun, Abdullah
title The underlying drivers of underprivileged households' intention and behavior towards community forestry management: A study using structural equation modelling and artificial neural network approach
title_short The underlying drivers of underprivileged households' intention and behavior towards community forestry management: A study using structural equation modelling and artificial neural network approach
title_full The underlying drivers of underprivileged households' intention and behavior towards community forestry management: A study using structural equation modelling and artificial neural network approach
title_fullStr The underlying drivers of underprivileged households' intention and behavior towards community forestry management: A study using structural equation modelling and artificial neural network approach
title_full_unstemmed The underlying drivers of underprivileged households' intention and behavior towards community forestry management: A study using structural equation modelling and artificial neural network approach
title_sort underlying drivers of underprivileged households' intention and behavior towards community forestry management: a study using structural equation modelling and artificial neural network approach
publisher MDPI
publishDate 2020
url http://eprints.um.edu.my/31735/
_version_ 1748181064776417280
score 13.160551