Residents’ Green Purchasing Intentions in a Developing-Country Context: Integrating PLS-SEM and MGA Methods

Wang, Bin; Li, Jionghua; Sun, Ao; Wang, Yongming; Dian-ting, WU

doi:10.3390/su12010030

Cited by 48 publications

(44 citation statements)

References 75 publications

(119 reference statements)

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“…This was further confirmed by the weak effect size. This is in line with previous studies conducted in Asian contexts [45,57,120]. It is also consistent with some form of common sense, suggesting that consumers' purchasing decisions could easily be influenced by the opinions of, and suggestions from, those who are close to them, such as family and, especially, friends.…”

Section: Discussionsupporting

confidence: 91%

“…Fourth, the result of this study found strong group aviation in the purchase intention of EEA, consistent with the results of past studies using multi group analysis [47,120]. The combination of PLS SEM and MGA method is very useful because it only examine the behavior but also quantify the variation in the behavior of different groups [134].…”

Section: Theoretical Contributionssupporting

confidence: 90%

“…The MGA approach can clarify whether there are differences in the hypothetical relationships between different groups. Previous studies have used MGA to show the differences in factors between groups [119,120].…”

Section: Resultsmentioning

confidence: 99%

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Adoption of Energy-Efficient Home Appliances: Extending the Theory of Planned Behavior

et al. 2020

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This research applies an extended theory of planned behavior (TPB) to empirically investigate consumers’ intentions in Pakistan to purchase energy-efficient appliances (EEAs). Most developing countries face energy crises. As a result, many countries consider EEAs to be part of the solution to energy-related problems and teach sustainable consumption behavior to consumers. Previous studies have neglected developing countries in this context, yet developing markets have great potential for EEA adoption. To understand EEA adoption, we incorporated such variables as warm glow benefits, utilitarian environmental benefits, normative beliefs, and moral obligations as antecedents to TPB variables. The moderating effect of eco-literacy between attitude, subjective norms, perceived behavioral control (PBC), and purchase intention toward EEAs are also examined. Data was gathered through a survey questionnaire from 673 Pakistani consumers to empirically test the proposed hypotheses. The results reveal that utilitarian environmental benefits and warm glow benefits significantly influence attitudes toward EEAs. The findings also show a positive effect of normative beliefs on subjective norms. The interaction effect of eco-literacy positively influences the relationship between attitude and purchase intention, with similar results for subjective norms and purchase intention. However, no significant moderating effect of eco-literacy is found between PBC and purchase intention. Furthermore, we performed multi-group analysis to explore significant group differences by utilizing socio-demographic variables such as gender, age, education, and income. The results show significant group differences, with females’ purchasing behavior, younger consumers, and educated consumers being more readily influenced. Finally, insights for policymakers, suggestions and future directions are discussed.

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Section: Discussionsupporting

confidence: 91%

Section: Theoretical Contributionssupporting

confidence: 90%

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Adoption of Energy-Efficient Home Appliances: Extending the Theory of Planned Behavior

et al. 2020

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“…The relationship between risk perception and perceived behavioral control, and media use and risk perception for people living in rural areas was greater than those living in urban areas. This nding contrasts with a previous study that found people living in the city were more likely to buy green products due to a greater availability of information than those living in rural areas [61]. In the case of COVID-19, people in rural areas may often only use o cial, government media compared to urban residents, who also use social media or WhatsApp groups-where the information may not be valid.…”

Section: Discussioncontrasting

confidence: 78%

Social Distancing Intentions to Reduce the Spread of COVID-19: The Extended Theory of Planned Behavior

Adiyoso

Wilopo

2020

Preprint

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Background The novel SARS-CoV-2 virus pandemic has caused over a hundred thousand deaths and has affected countries and economies worldwide. Due to the absence of a vaccine, the most effective way to reduce transmission of the virus is by applying social distancing practices. Exploring factors that determine whether people adopt social distancing measures is, therefore, critical to reducing the spread of the virus. This study aimed to investigate people’s intentions to socially distance based on the extended Theory of Planned Behavior. An online survey of 823 individuals was conducted and their responses analyzed using partial least square structural equation modeling. Results Study found that the factors influencing the intention to perform social distancing were subjective norms and perceived behavior control. Risk perception affected attitudes, subjective norms, and perceived behavioral control. Media exposure was found to determine attitudes, subjective norms, and risk perceptions. The relationship between attitudes and intentions, and media use and perceived behavior control were not significant. The better and effective risk communication that can change the level of risk perception, raise family and religious leader as well as increase to control behavior are the keys to people’s perform social distancing. Results from a multigroup analysis revealed partial differences across demographic variables. Younger individuals showed a stronger relationship between the influence of risk perception and PBC and media use on risk perception. The predictive strength of subjective norms from risk perception and risk perception from media use was more strongly associated with rural populations. Conclusions The results of study provide an initial understanding of the level of the public’s risk perception to reduce the spread of SARS-CoV-2. Findings also revealed the role of media use in determining risk perception, attitudes and subjective norms. Effective risk communication can change the level of risk perception, attitudes and subjective norms and, in turn, change people’s intention to socially distance. This study may add to the literature, as it explores notions of behavioral changes in the context of an infectious disease pandemic. These results provide a framework for both policymakers and practitioners to formulate interventions for effective social distancing practices in the future.

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“…Presently, there is still no accurate and comprehensive definition to describe GSCM. Different scholars define it in different ways, such as supply chain environmental management (Darnall, Jolley, & Handfield, 2008;Ali, Paksoy, Torgul, & Kaur, 2020), green supply (Yildiz, 2019), green logistics and environmental logistics (Nihan, 2011), green procurement (Wang, 2019), reverse logistics (Hu & Yezi, 2020) or as a series of strategies and methods adopted in the process of SCM (i.e., design, procurement, production and sales) to integrate the concept of environmental protection aimed to sustainable goals. It is also argued that GSCM is a collective capability that combines four different but interrelated sets of practices: environmental management systems, ecological design, resource reduction, and external environmental practices…”

mentioning

confidence: 99%

Risk analysis in the management of a green supply chain

2021

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In order to implement or maintain a green supply chain (GSC) that produces goods and services responsibly and sustainably, supply chain managers should use tools that allow for the efficient identification, quantification, and mitigation of the ever‐present risks. The objective of the present research is to identify the risk factors associated with the processes involved in GSC management. Based on an analysis of the characteristics of GSC risk, the authors put forward a list of risk design principles and a risk criteria evaluation system for a GSC. Gray relation analysis method was then used to clarify the degree of connection between certain supply chain risk factors and select key risk factors. Finally, Back Propagation Artificial Neural Network (BP‐ANN) method was used to determine the risk level associated with a GSC. The determination of risk level will help companies to develop effective strategic management initiatives in a GSC environment.

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Residents’ Green Purchasing Intentions in a Developing-Country Context: Integrating PLS-SEM and MGA Methods

Cited by 48 publications

References 75 publications

Adoption of Energy-Efficient Home Appliances: Extending the Theory of Planned Behavior

Adoption of Energy-Efficient Home Appliances: Extending the Theory of Planned Behavior

Social Distancing Intentions to Reduce the Spread of COVID-19: The Extended Theory of Planned Behavior

Risk analysis in the management of a green supply chain

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