scholarly journals Modeling of 3R (Reduce, Reuse and Recycle) for Sustainable Construction Waste Reduction: A Partial Least Squares Structural Equation Modeling (PLS-SEM)

2021 ◽  
Vol 13 (19) ◽  
pp. 10660
Author(s):  
Musa Mohammed ◽  
Nasir Shafiq ◽  
Ali Elmansoury ◽  
Al-Baraa Abdulrahman Al-Mekhlafi ◽  
Ehab Farouk Rached ◽  
...  
Keyword(s):  
Structural Equation Modeling ◽  
Waste Management ◽  
Least Squares ◽  
Construction Industry ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Waste Reduction ◽  
Sustainable Construction ◽  
Equation Modeling ◽  
Construction Waste

There is a lack of awareness and knowledge among the Malaysian construction industry about waste management reduction. Numerous nations worldwide have understood and have incorporated the concept of the 3R (reduce, reuse, and recycle) in waste management, and it has worked out well. This study investigated construction waste issues and developed a model for sustainable reduction by applying 3R using a partial least squares structural equation modeling PLS-SEM in Malaysia. The research methodology adopted the quantitative and qualitative approaches by sending a survey questionnaire to the relevant stakeholders to obtain their views or perceptions and interviewing an expert in the related field about waste reduction in the Malaysian construction industry. Three hundred thirty questionnaires were collected within six months of submission. The significant factors are determined using mean ranking for the reduce, reuse and recycle elements. Based on the results, the exploratory power of the study model is considered sustainable with R2 values of 0.83%. At the same time, the results of relationships between improving factors, policy-related factors, construction waste generated, and sustainable construction waste reduction were significant. Also, the findings revealed that the top factors for waste generation on reducing, reusing, and recycling are lack of design and documentation, and lack of guidance for effective construction waste-collecting. The paper will explore different and dynamic practices, such as recycling, reuse of construction waste management cost reduction, enabling stakeholders and managers to estimate and quantify the actual size of CWM costs and benefits for sustainable development goals.

A partial least squares structural equation modeling (PLS-SEM) of barriers to sustainable construction in Malaysia

2018 ◽  
Vol 204 ◽  
pp. 564-572 ◽  
Author(s):  
Serdar Durdyev ◽  
Syuhaida Ismail ◽  
Ali Ihtiyar ◽  
Nur Fatin Syazwani Abu Bakar ◽  
Amos Darko
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Sustainable Construction ◽  
Equation Modeling

scholarly journals DEVELOPING A CORPORATE SOCIAL RESPONSIBILITY FRAMEWORK FOR SUSTAINABLE CONSTRUCTION USING PARTIAL LEAST SQUARES STRUCTURAL EQUATION MODELING

2020 ◽  
Vol 26 (1) ◽  
pp. 186-212 ◽  
Author(s):  
Liang Wang ◽  
Ping Zhang ◽  
Li Ma ◽  
Xuhui Cong ◽  
Miroslaw J. Skibniewski
Keyword(s):  
Corporate Social Responsibility ◽  
Structural Equation Modeling ◽  
Social Responsibility ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Health And Safety ◽  
Sustainable Construction ◽  
Equation Modeling ◽  
Corporate Social

Sustainable construction is vital for the embodiment of sustainable development, and corporate social responsibility practice is critical for construction firms to realize sustainable construction. However, the link between sustainable construction and corporate social responsibility is still in its infancy, and previous studies have not developed comprehensive methods for evaluating sustainable construction performance. We first established a conceptual corporate social responsibility framework based on the five aspects of sustainable construction: economic, environmental, social, stakeholders, and health and safety. Then, a set of criteria assessing sustainable construction performance was identified through a literature review and interviews with industry practitioners. A questionnaire survey was conducted to collect primary data and identify the significance of the proposed criteria. Furthermore, partial least squares structural equation modeling (PLS-SEM) was used to statistically validate the conceptual model and identify key factors for sustainable construction. The results revealed that health and safety, and environment are the key aspects, while site inspection and audits, providing a healthy and safe working environment, effective emergency management procedures and safety supervision, compliance with environmental laws and regulations, reducing pollution and waste, and corporate environmental management system are critical to achieving sustainable construction. Our study underlines the link between sustainable construction and corporate social responsibility, improves the evaluation accuracy, and provides new guidelines for practical applications.

scholarly journals A Synthesis of Express Analytic Hierarchy Process (EAHP) and Partial Least Squares-Structural Equations Modeling (PLS-SEM) for Sustainable Construction and Demolition Waste Management Assessment: The Case of Malaysia

Recycling ◽  
2021 ◽  
Vol 6 (4) ◽  
pp. 73
Author(s):  
Kambiz Ghafourian ◽  
Kamyar Kabirifar ◽  
Amir Mahdiyar ◽  
Maziar Yazdani ◽  
Syuhaida Ismail ◽  
...  
Keyword(s):  
Waste Management ◽  
Analytic Hierarchy Process ◽  
Least Squares ◽  
Partial Least Squares ◽  
Construction And Demolition Waste ◽  
Sustainable Construction ◽  
Equation Modeling ◽  
Demolition Waste ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Construction and demolition waste (CDW), as the main consequence of construction and demolition (C&D) activities, has severely affected our sustainability needs. However, construction and demolition waste management (CDWM) lacks the integration of sustainability concepts. Thus, there is a great need to include sustainability dimensions in CDWM to reach sustainable construction and demolition waste management (SCDWM). This study aims at empirically investigating SCDWM by analyzing the impacts of factors that contribute to sustainability aspects of CDWM on waste management hierarchy (WMH), including reduce, reuse, recycle, and disposal strategies. According to the literature, 26 factors were initially identified and grouped under four categories, namely environmental, economic, social, and administrative, that contribute to sustainability aspects of CDWM. Subsequently, a pilot test was performed to assess the significance and applicability of these factors in the Malaysian construction industry by implementing the express analytic hierarchy process (EAHP). Then, a questionnaire survey was performed to collect data from 132 construction companies involved in CDWM. Partial least squares-structural equation modeling (PLS-SEM) was used to test the hypothetical relationships by applying SmartPLS software. Results demonstrated that the economic aspect of CDWM (main category) and “public environment contamination due to illegal waste dumping” (sub-category) were the most influential factor in SCDWM in Malaysia.

Partial least squares structural equation modeling of chemistry attitude in introductory college chemistry

2018 ◽  
Vol 19 (4) ◽  
pp. 1270-1286 ◽  
Author(s):  
James Ross ◽  
Leslie Nuñez ◽  
Chinh Chu Lai
Keyword(s):  
Structural Equation Modeling ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
At Risk Students ◽  
Affective Domain ◽  
Equation Modeling ◽  
College Chemistry ◽  
The Subject ◽  
Introductory College

Students’ decisions to enter or persist in STEM courses is linked with their affective domain. The influence of factors impacting students’ affective domain in introductory college chemistry classes, such as attitude, is often overlooked by instructors, who instead focus on students’ mathematical abilities as sole predictors of academic achievement. The current academic barrier to enrollment in introductory college chemistry classes is typically a passing grade in a mathematics prerequisite class. However, mathematical ability is only a piece of the puzzle in predicting preparedness for college chemistry. Herein, students’ attitude toward the subject of chemistry was measured using the original Attitudes toward the Subject of Chemistry Inventory (ASCI). Partial least squares structural equation modeling (PLS-SEM) was used to chart and monitor the development of students’ attitude toward the subject of chemistry during an introductory college chemistry course. Results from PLS-SEM support a 3-factor (intellectual accessibility,emotional satisfaction, andinterestandutility) structure, which could signal the distinct cognitive, affective, and behavioral components of attitude, according to its theoretical tripartite framework. Evidence of a low-involvement hierarchy of attitude effect is also presented herein. This study provides a pathway for instructors to identify at-risk students, exhibiting low affective characteristics, early in a course so that academic interventions are feasible. The results presented here have implications for the design and implementation of teaching strategies geared toward optimizing student achievement in introductory college chemistry.

An Introduction to Structural Equation Modeling (SEM) and the Partial Least Squares (PLS) Methodology

2011 ◽  
pp. 110-129 ◽  
Author(s):  
Nicholas J. Ashill
Keyword(s):  
Structural Equation Modeling ◽  
Information Systems ◽  
Organizational Behavior ◽  
Least Squares ◽  
Partial Least Squares ◽  
Structural Equation ◽  
Academic Research ◽  
Equation Modeling ◽  
Formative Measurement ◽  
Statistical Assumptions

Over the past 15 years, the use of Partial Least Squares (PLS) in academic research has enjoyed increasing popularity in many social sciences including Information Systems, marketing, and organizational behavior. PLS can be considered an alternative to covariance-based SEM and has greater flexibility in handling various modeling problems in situations where it is difficult to meet the hard assumptions of more traditional multivariate statistics. This chapter focuses on PLS for beginners. Several topics are covered and include foundational concepts in SEM, the statistical assumptions of PLS, a LISREL-PLS comparison and reflective and formative measurement.

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