Evaluation of the effectiveness of green practices in manufacturing sector using CHAID analysis

Ali, Sadia Samar; Kaur, Rajbir; Ersöz, Filiz; Lotero, Laura; Weber, Gerhard

doi:10.1007/s13243-018-0053-y

Cited by 41 publications

(18 citation statements)

References 84 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This finding agrees with Masri and Jarron (2017), Zhang et al ( 2019 ), and Yong et al ( 2020 ). It has been also discussed and demonstrated by many other researchers such as Samar Ali et al ( 2019 ), Graczyk-Kucharska et al ( 2021 ), Das et al ( 2020 , 2021 ), Mondal and Roy ( 2021 ), Midya et al ( 2021 ), Tirkolaee and Aydın ( 2021 ), Dabic-Miletic et al ( 2021 ), and Jahani et al ( 2021 ).…”

Section: Discussionmentioning

confidence: 76%

An integrated methodology for green human resource management in construction industry

Darvazeh

Mooseloo

Aeini³

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

Today, by increasing public awareness about environmental issues and pressures from governments and other stakeholders, companies have dealt with environmental challenges more than ever. This paper focuses on environmentally sustainable performance using an integrated methodology based on meta-synthesis, Delphi, and structural equation modeling (SEM) techniques which are utilized in different phases. In the first phase, an in-depth review of green human resources management (GHRM) literature is conducted based on the meta-synthesis method, and as a result, 38 codes are extracted. Next, to adapt and customize the codes with the nature of the construction industry, 2 rounds of Delphi method are implemented to extract the expert judgment from a panel of 15 industry professionals, resulting in 21 codes in 7 categories. To validate the developed methodology, a dataset from 33 Iranian construction companies are collected along with 15 factors in 5 categories determined using SEM. The findings reveal that among 9 main GHRM components extracted from the literature, just 5 components including green recruitment and selection, green performance management, green-reward, green-based employee empowerment, and green training have significant and positive relationships with GHRM. Finally, managerial insights, limitations, and future research directions are discussed.

show abstract

Section: Discussionmentioning

confidence: 76%

An integrated methodology for green human resource management in construction industry

Darvazeh

Mooseloo

Aeini³

et al. 2022

Environ Sci Pollut Res

View full text Add to dashboard Cite

show abstract

“…An organization's EP assessment, mainly its improvement (Choudhary et al, 2019), has been increasingly driven by the increased pressure derived from climate changes, depletion of natural resources, population increase and stricter government regulations (Choudhary et al, 2019; Hojnik et al, 2021), regarding the management of hazardous waste and carbon emissions (Choudhary et al, 2019; Samar Ali et al, 2019). This variable measures the commitment of organizations to the implementation of green initiatives, since EP can be defined as the degree to which organizations achieve the environmental claims of their stakeholders (Schultze & Trommer, 2012).…”

Section: Research Background and Hypothesis Developmentmentioning

confidence: 99%

Combining lean and green practices to achieve a superior performance: The contribution for a sustainable development and competitiveness—An empirical study on the Portuguese context

Teixeira

Coelho

Fontoura

et al. 2022

Corp Soc Responsibility Env

View full text Add to dashboard Cite

This research assesses the lean and green (LG) practices' impact on the competitive advantage (CA) of organizations, through sustainable performance, considering lean maturity as the moderator. A structured questionnaire was used to collect data from a cross-sectional sample of 261 companies operating in Portugal. Hypotheses are tested through structural equation modeling and multigroup analysis to examine the lean maturity moderating role. Results demonstrate a positive impact of LG practices on sustainable development and that their three dimensions of CA, with lean maturity boosting most relationships. This research highlights the impact of LG practices on organization's competitiveness and helps them underpin the importance these practices when comes to enhance their sustainable performance and their CA with help of environmental policy and also stakeholder engagement. Future studies should address these relationships upon a specific dimension, namely the correlation between environmental performance and CA, as it was not dealt in this study.

show abstract

“…Decision trees are popular functionalities and tools for data classification and forecasting in which a dependent variable (the decision variable here) is related to independent variables via the branches of the tree (Samar Ali et al, 2018), where the branches make up the complete tree representing all relationships. The trees are constructed with a top-down approach, where the most important independent variables may split further sub-branches.…”

Section: Data Miningmentioning

confidence: 99%

“…IBM SPSS Decision Trees enable the exploration of results and the visual determination of how the model flows. This helps find specific subgroups and relationships that are impossible to obtain with more traditional statistics" (Samar Ali et al, 2018). The results of IBM SPSS Modeler Data Mining are shown in Fig.…”

Section: Baltic Journal Of Real Estate Economics and Construction Manmentioning

confidence: 99%

Research on Factors Affecting Real Estate Values by Data Mining

Ersöz

Soydan

2018

Baltic Journal of Real Estate Economics and Construction Management

View full text Add to dashboard Cite

Construction sector has an important place in Turkey’s economy. Real estate sales for the sector are increasing in parallel. However, the purchase cost is also important for those who are willing to buy a real estate. In the acquisition of real estate, factors such as size, location and age of the house are taken into consideration. The aim of the article is to conduct research on factors affecting real estate values by data mining. In this study, the most important variables that determine the value of the real estate have been investigated by data mining methods. The research has been carried out in Karabük and the variables determined according to the opinions of real estate experts. As classification methods, CHAID and C&RT algorithms have been used. It has been evaluated that both algorithm estimation results can be used. Within the framework of the study, the variables that have the most impact on the unit price have been determined, such as the size of the real estate, the distance to the city centre, the popularity, and the age of the building. The use of advanced technologies, such as statistical modelling and machine learning in real estate valuation and automatic value estimation, is of importance in determining the real value of the real estate.

show abstract

Evaluation of the effectiveness of green practices in manufacturing sector using CHAID analysis

Cited by 41 publications

References 84 publications

An integrated methodology for green human resource management in construction industry

An integrated methodology for green human resource management in construction industry

Combining lean and green practices to achieve a superior performance: The contribution for a sustainable development and competitiveness—An empirical study on the Portuguese context

Research on Factors Affecting Real Estate Values by Data Mining

Contact Info

Product

Resources

About