Understanding energy-saving behaviors in the American workplace: A unified theory of motivation, opportunity, and ability

Li, Da; Xu, Xiaojing; Chen, Chien; Menassa, Carol C.

doi:10.1016/j.erss.2019.01.020

Cited by 101 publications

(74 citation statements)

References 75 publications

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“…This finding is also consistent with many discoveries of previous research of energy saving behavior or energy efficient appliance adoption [19,20,44,49]. The relationship between PBC with adoption intention reflects the significance of some non-motivational factors [41]. In this study, the non-motivational factors refer to the residents' perceptions about the resources or conditions they own to adopt the smart products, including the knowledge, affordability, and the infrastructural conditions of their houses.…”

Section: Perceived Behavioral Controlsupporting

confidence: 89%

“…Personal norms will have influence on the behavior intention when someone aware of the consequence (AC) of its behavior for the benefit of others or one's ascription of the responsibility (AR) for those consequences to oneself [37,39]. The impact of personal norm onto the motivation of energy saving or carbon reduction behavior has been verified by numerous past research [41,48,69]. What is more, Ritu Agarwal suggested that the person with innovativeness in one's personal trait would be more likely to adopt new technology [70].…”

Section: Personal Normmentioning

confidence: 92%

“…A list of previous studies in the context of energy saving or pro-environmental behavior is shown in Table 1. However, given the complexity of human behavior and human nature, the current theories and studies are not capable to cover all the social and psychological factors as well as personal traits relevant with energy saving behavior [19,41].…”

Section: Background Of Behavioral Theorymentioning

confidence: 99%

“…Ting [113] asserted the social norms were also applicable in Jiangsu Province in the household energy saving area. Outside of China, the social norm was verified to be an important factor to influence the opportunity of energy saving in American workplaces [41]. The social norm was also found to have a positive relation with purchase intention of energy efficient products in Korea [114].…”

Section: Social Normmentioning

confidence: 99%

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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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Section: Perceived Behavioral Controlsupporting

confidence: 89%

Section: Personal Normmentioning

confidence: 92%

Section: Background Of Behavioral Theorymentioning

confidence: 99%

Section: Social Normmentioning

confidence: 99%

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

Chan

2019

Energies

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“…This framework is also used to find out the factors which affect doctors to adopt Electronic Medical Records [20]. In the development, this framework has been widely used to understand individual behaviour based on three factors which are motivation, opportunity, and ability [21]. In the MOA Framework, in addition to the Motivation factor, there are Opportunity and Ability factors.…”

Section: Motivation-opportunity-ability (Moa) Frameworkmentioning

confidence: 99%

The Effect of Motivation-Opportunity-Ability (MOA) Framework in SME's Social Media Marketing Adoption

Hadining

2020

IJIES

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This research aimed to find out the factors which affected UKM/SME (small and medium sized enterprises) in adopting Facebook Ads. The factors utilized adoption model which has been developed in previous research by inserting Opportunity and Ability factors as a moderating effect between the influence of intention to use facebook ads toward the adoption of facebook ads. The background of this study was the need for the demand for the use of information technology, especially social networking in SME communication with consumers. This was intended to make SMEs survive in current technological developments. The model used in this research consisted of ten variables with nine hypotheses. Based on a survey of 100 SMEs in Indonesia, it was found that social image and perceived usefulness had a positive influence on intention to use Facebook Ads. However, there was no moderation effect from the Opportunity and Ability variable groups toward the relationship between Intention to use Facebook ads to Facebook Ads Adoption.

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The impact of motivation, intention, and contextual factors on green purchasing behavior: New energy vehicles as an example

Zhou

Wang

et al. 2020

Bus Strat Env

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Green purchasing behavior is of great significance to the realization of carbon reduction goals. Through in‐depth interviews, this study uses new energy vehicles to explore the driving factors of green purchase. It applies grounded theory for a qualitative analysis, the results of which show that behavior motivation, behavior intentions, residential characteristics, social norms, behavior ability, and institutional and technological context are the main factors of green purchase, albeit in inconsistent ways. It is found that behavior motivation indirectly affects green purchase through behavior intention; residents' characteristics, behavioral ability, social norms, and the institutional and technological context have moderating effects on the relationship between behavior intention and green purchase, indicating the existence of an “intention–behavior” gap. The study proposes the comprehensive model of Motivation–Intention–Context–Behavior to explain the driving factors for green purchase and provides policy implications on marketing strategy to companies producing green products.

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Understanding energy-saving behaviors in the American workplace: A unified theory of motivation, opportunity, and ability

Cited by 101 publications

References 75 publications

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

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

The Effect of Motivation-Opportunity-Ability (MOA) Framework in SME's Social Media Marketing Adoption

The impact of motivation, intention, and contextual factors on green purchasing behavior: New energy vehicles as an example

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