A new model for assessing industrial worker behavior regarding energy saving considering the theory of planned behavior, norm activation model and human reliability

Lopes, José Rafael Nascimento; Kalid, Ricardo de Araújo; Rodríguez, Jorge Laureano Moya; Filho, Salvador Ávila

doi:10.1016/j.resconrec.2019.02.042

Cited by 143 publications

(98 citation statements)

References 60 publications

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“…Though its threshold value is reported as 0.7 by Hair et al (2013) and 0.6 by Bagozzi and Heartherton (1994) , the number of items taken for a construct is important for deciding whether the construct is internally reliable ( Netemeyer et al, 2003 ). It has been further envisaged that the value of ρ-A between CMPR and Cronbach-α is suggested reliable ( Lopes et al, 2019 ), which implies that the selected items are considered reliable for the value of ρ-A within the stated range.…”

Section: Methodsmentioning

confidence: 99%

“…The path coefficients are taken to be relevant for any score of t-statistic equal to or exceeding the threshold level of 1.96 ( Ringle et al, 2018 ). As for its equivalent, the path coefficients are considered significant at a 5% level for any probability score below ore equal to 0.05 ( Lopes et al, 2019 ). Taking this requirement as a benchmark, for all of the hypotheses, with the exception of H 7 , the null hypotheses are rejected, and thus support has been found.…”

Section: A1 Structural Model Testmentioning

confidence: 99%

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Perception-based influence factors of intention to adopt COVID-19 epidemic prevention in China

Ahmad

Iram

Jabeen

2020

Environmental Research

120

113

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Background The researches investigating the influence factors of epidemic prevention are not only scarce, but also provide a gap in the domain of perception-based influence factors of intention to adopt COVID-19 epidemic prevention. Objective This work has attempted to examine the perception-based influence factors of individuals’ intention to adopt COVID-19 epidemic prevention in a modified behavioral framework. Theoretical framework A behavioral framework composed of the theory of reasoned action and the theory of planned behavior is developed to incorporate some additional perception-based influence factors. Methods A partial least square-based path analysis has been employed to estimate the path coefficients of those factors in terms of drivers, barriers, and neutral factors based on questionnaire data of 302 respondents from six universities and two hospitals in China. Results Among the perception-based influence factors, governments' guidelines on epidemic prevention is found to be the most important and influential factor, which was followed by risk perception. Finally, attitude towards epidemic prevention exhibited the least degree of impact on individuals' intention to adopt epidemic prevention. Moral norms did not show any contribution to individuals’ intention to adopt epidemic prevention. Conclusion Concerning importance ranking, the governments' guidelines on epidemic prevention, risk perception, and epidemic knowledge are revealed as the top three drivers of individuals' intention to adopt epidemic prevention, while the perceived feasibility to adopt epidemic prevention is found to be a barrier. Moreover, moral norms is identified to have an insignificant influence on individuals' intention to adopt epidemic prevention. Given the empirical results, dissemination of Governments’ guidelines on epidemic prevention, proper risk perception, and knowledge about epidemic would help prevent the COVID-19 pandemic outbreak within China and worldwide.

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Section: Methodsmentioning

confidence: 99%

Section: A1 Structural Model Testmentioning

confidence: 99%

Perception-based influence factors of intention to adopt COVID-19 epidemic prevention in China

Ahmad

Iram

Jabeen

2020

Environmental Research

120

113

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“…The result implies that residents owning stronger awareness of energy saving would be more possible to adopt SHET. The indicators reflecting personal norm include the social responsibility and environmental concern, which shares the similar results of some passed research of energy saving behavior [20,44,47,48] Additionally, because of the innovativeness of smart technology, one indicator reflecting one's interest about technology innovation is also employed to measure residents' internal values towards the smart technology innovation. The result confirms the reliability of this indicator.…”

Section: Personal Normmentioning

confidence: 72%

Critical Factors Influencing the Adoption of Smart Home Energy Technology in China: A Guangdong Province Case Study

Chan

2019

Energies

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Smart home energy technology has been verified to be successful for energy reduction in the residential sector. However, the current penetration rate of smart home energy technology is at a low level. Considering the factors of economy, policy, and demographics, Guangdong Province in China is a suitable region as an exemplary case to promote smart home energy technology through the urban residents. Therefore, using Guangdong as the targeting area, this research examined the factors influencing residents’ intention to adopt smart home energy technology. A theoretical model based on the theory of planned behavior and Norm Activation Model theory was developed, with special consideration of the complex technical features. A questionnaire survey was performed in Guangdong Province and the data was analyzed by PLS-SEM. The analysis results indicated that residents’ attitude towards technical performance, social norm, perceived behavioral control, and personal norm all have positive influence on the adoption intention, of which, attitude towards technical performance had the strongest effect. On the other hand, the attitude towards economic performance was found not to lead adoption intention. To explain this consequence, the discussion based on behavioral economics was proposed.

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“…The first stage deals with the estimation of the score of latent variables and outer loadings and outer weights for measuring constructs using a series of iterative steps (Hair et al 2017). The second stage deals with the estimation of path coefficients between the latent variables using ordinary least squares (OLS) to maximize the variance (Lohmöller 1989). The maximizing of shared variance is the primary objective of PLS-SEM and other regression methods (Hair et al 2017).…”

Section: The Partial Least Square-structural Equation Modelmentioning

confidence: 99%

Role of knowledge, behavior, norms, and e-guidelines in controlling the spread of COVID-19: evidence from Pakistan

Raza

Ali

Hussain

2020

Environ Sci Pollut Res

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The COVID-19 pandemic is straining public health systems and the global economy, triggering unprecedented measures by governments around the globe. The adoption of a preventive measure is required to control the spread. This research explores the impact of influencing factors like COVID-19 knowledge, behavioral control, moral and subject norms, preventive e-guidelines by the government, and environmental factors on the intention to prevent COVID-19 and risk aversion. A cross-sectional study was performed of 310 respondents about different COVID-19 related influencing factors in Pakistan. The partial least squarestructural equation modeling was applied to estimate the path coefficient. Moral and subject norms (0.359) had a comparatively higher path coefficient. Other influencing factors/drivers were preventive e-guideline by the government (0.215) followed by COVID-19 knowledge (0.197), and behavioral control (0.121). The intention to prevent COVID-19 showed a positive and significant impact (0.705) on risk aversion. The indirect analysis also confirmed that the positive influence of moral and subject norms, COVID-19 knowledge, preventive e-guideline by the government, and behavioral control on risk aversion. However, the path coefficient of environmental factors was negative but insignificant, which implies than environmental factors do not influence the intention to prevent COVID-19. It is suggested to provide clear guidelines using print, social, electronic media. It is also suggested to provide e-guidelines in local languages. The COVID-19 knowledge about its transmission, symptoms, and precautions is also useful. It is suggested to include the causes, symptoms, and precaution of viral diseases in the educational syllabus. The government should ensure the availability of preventive medical items like surgical masks and sanitizers to meet the demand of the public.

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A new model for assessing industrial worker behavior regarding energy saving considering the theory of planned behavior, norm activation model and human reliability

Cited by 143 publications

References 60 publications

Perception-based influence factors of intention to adopt COVID-19 epidemic prevention in China

Perception-based influence factors of intention to adopt COVID-19 epidemic prevention in China

Critical Factors Influencing the Adoption of Smart Home Energy Technology in China: A Guangdong Province Case Study

Role of knowledge, behavior, norms, and e-guidelines in controlling the spread of COVID-19: evidence from Pakistan

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