Exploring consumer participation in environment management: Findings from two‐staged structural equation <scp>modelling‐artificial</scp> neural network approach

Najmi, Arsalan; Kanapathy, Kanagi; Aziz, Abdul

doi:10.1002/csr.2041

Cited by 40 publications

(42 citation statements)

References 77 publications

(123 reference statements)

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“…Similarly, the responsibility of a product to the environment cannot be fulfilled without the participation of customers. Thus, the latest study in the field of sustainability intended to explore the role of consumers in recycling smartphones [ 65 ]. Accordingly, the issues of sustainability and social responsibility are essential.…”

Section: Search Results and Statistical Information Of Articlesmentioning

confidence: 99%

“…Meanwhile, ANN helps assess the relative importance of the determinants of mobile app adoption in various industries [ 6 , 13 , 53 , 54 , 58 – 60 , 73 , 74 , 82 , 85 , 87 , 99 ]. In summary, using ANN with SEM provides a new perspective on building nonlinear models [ 7 , 65 ].…”

Section: Discussionmentioning

confidence: 99%

“…Research models can be combined or expanded to enrich results and provide a comprehensive view of factors, such as cloud computing [ 62 ]. The literature has suggested several determinants that affect consumer participation in environmental management, such as environmental concerns, assignment of responsibility and knowledge [ 65 ]. Hence, the literature review should extend the current theoretical model to provide a new perspective for building nonlinear models [ 74 ].…”

Section: Discussionmentioning

confidence: 99%

See 2 more Smart Citations

Hybrid artificial neural network and structural equation modelling techniques: a survey

Albahri

Alnoor

Zaidan

et al. 2021

Complex Intell. Syst.

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Topical treatments with structural equation modelling (SEM) and an artificial neural network (ANN), including a wide range of concepts, benefits, challenges and anxieties, have emerged in various fields and are becoming increasingly important. Although SEM can determine relationships amongst unobserved constructs (i.e. independent, mediator, moderator, control and dependent variables), it is insufficient for providing non-compensatory relationships amongst constructs. In contrast with previous studies, a newly proposed methodology that involves a dual-stage analysis of SEM and ANN was performed to provide linear and non-compensatory relationships amongst constructs. Consequently, numerous distinct types of studies in diverse sectors have conducted hybrid SEM–ANN analysis. Accordingly, the current work supplements the academic literature with a systematic review that includes all major SEM–ANN techniques used in 11 industries published in the past 6 years. This study presents a state-of-the-art SEM–ANN classification taxonomy based on industries and compares the effort in various domains to that classification. To achieve this objective, we examined the Web of Science, ScienceDirect, Scopus and IEEE Xplore® databases to retrieve 239 articles from 2016 to 2021. The obtained articles were filtered on the basis of inclusion criteria, and 60 studies were selected and classified under 11 categories. This multi-field systematic study uncovered new research possibilities, motivations, challenges, limitations and recommendations that must be addressed for the synergistic integration of multidisciplinary studies. It contributed two points of potential future work resulting from the developed taxonomy. First, the importance of the determinants of play, musical and art therapy adoption amongst autistic children within the healthcare sector is the most important consideration for future investigations. In this context, the second potential future work can use SEM–ANN to determine the barriers to adopting sensing-enhanced therapy amongst autistic children to satisfy the recommendations provided by the healthcare sector. The analysis indicates that the manufacturing and technology sectors have conducted the most number of investigations, whereas the construction and small- and medium-sized enterprise sectors have conducted the least. This study will provide a helpful reference to academics and practitioners by providing guidance and insightful knowledge for future studies.

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Section: Search Results and Statistical Information Of Articlesmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Hybrid artificial neural network and structural equation modelling techniques: a survey

Albahri

Alnoor

Zaidan

et al. 2021

Complex Intell. Syst.

View full text Add to dashboard Cite

show abstract

“…Finally, empirical findings suggest that the same theoretical models applied to different EEE categories have substantially different results, e.g. [30,31]. Despite the important implications of these findings, there are no studies synthesising the characteristics of EEE categories that account for substantial differences in consumer behaviour.…”

Section: Consumers In a Closed Loop Supply Chain For Eee (Eclsc)mentioning

confidence: 99%

Urban Mining of e-Waste and the Role of Consumers

Garcia¹,

Langen²

2022

Waste Material Recycling in the Circular Economy - Challenges and Developments

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This chapter adds to the body of literature on the Circular Economy (CE), urban mining, and their intersection with consumer behaviour, by first providing a review of existing and emergent EU regulations aimed towards enhancing the collection rate of household WEEE. The fast growth of the EEE waste stream and its potential for Urban Mining as well as the inability of WEEE collection to keep up with the growth of the EEE industry is showcased with statistical data. The final section critically analyses the literature the intersection between consumer behaviour and closed-loop supply chains for EEE, identified through a systematic keyword search to ensure replicability. The findings point at a lack of theoretical, methodological and product-case heterogeneity among the identified sources, with most of them employing the Theory of Planned Behaviour and survey methods and focusing on mobile phones or general WEEE. While the literature suggests important behavioural differences across EEE categories, this was not representatively explored. The final section contributes to filling this gap by developing a taxonomy of EEE categories based on characteristics that may predispose consumer behaviour. The identified dimensions are: size, involvement, long-term reliability expectations, value type, internet access, multifunctionality, the quality of being outdated and social meaning.

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“…This study contends that this gap also exists in consumer attitudes and behaviors toward social enterprise‐related activities. While previous studies indicate that consumers' personal value and ethical beliefs affect their ethical consumption behaviors (Hunt & Vitell, 2006; Najmi et al, 2020), the effect of situational factors (i.e., personal benefits) in reducing or increasing ethical consumption behaviors remains little explored (Pérez & del Bosque, 2015). If consumer values cannot lead to positive ethical consumption, are other situational factors able to strengthen behaviors to support social enterprises for maximum social benefits?…”

Section: Introductionmentioning

confidence: 99%

Encourage stakeholder engagement in sustainable development: Drivers of consumers themselves benefits and society welfares

Chang

Chuang

2020

Corp Soc Responsibility Env

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Sustainable development is viewed as a global goal to solve social, and encouraging stakeholders to become concerned about ecological conservation and to make efforts in engaging in sustainable activities is vital. Though the motivation behind consumer willingness to support the activities of social enterprises should be examined, the literature offers only limited work from the consumer perspective. This study thus integrates relationship marketing theory and an ethical decision‐making model to explore consumers' ethical judgments and behavioral intentions toward sustainability activities. The results show that the impact of perceived value influenced by social and economic benefits on consumers' ethical judgment and behavioral intentions toward sustainability activities is more powerful than that of altruism and environmental value. When consumers' judgments are positive and ethical, their ethical consumption involving sustainability activities and loyalty intentions toward social enterprise will improve. These findings identify research gaps for future research and offer important implications for businesses.

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Exploring consumer participation in environment management: Findings from two‐staged structural equation modelling‐artificial neural network approach

Cited by 40 publications

References 77 publications

Hybrid artificial neural network and structural equation modelling techniques: a survey

Hybrid artificial neural network and structural equation modelling techniques: a survey

Urban Mining of e-Waste and the Role of Consumers

Encourage stakeholder engagement in sustainable development: Drivers of consumers themselves benefits and society welfares

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