Investigating factors influencing decision-makers’ intention to adopt Green IT in Malaysian manufacturing industry

Asadi, Shahla; Nilashi, Mehrbakhsh; Safaei, Mahmood; Abdullah, Rusli; Saeed, Faisal; Yadegaridehkordi, Elaheh; Samad, Sarminah

doi:10.1016/j.resconrec.2019.04.028

Cited by 53 publications

(48 citation statements)

References 112 publications

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“…The NAM primarily explains behavioral intention from individual consciousness ( Zhang, Liu, & Zhao, 2018 ), whereas the TPB considers the impact of psychological and social factors ( Ru, Qin, & Wang, 2019 ). Considering that NAM and TPB focus on different aspects of behavior interpretation ( Wang, Wang, Guo, Zhang, & Wang, 2018 ), a growing number of researchers tend to integrate these two models (e.g., Asadi et al, 2019 ; Shi, Fan, & Zhao, 2017 ; Wang, Guo, Wang, Zhang, & Wang, 2018 ). Studies have also confirmed that the integrated model may have better interpretation effects when incorporating other variables ( Han & Hyun, 2017 ; Kim, Woo, & Nam, 2018 ; Zhang, Geng, & Sun, 2017 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“… Wang, Guo et al (2018) Waste management E-waste recycling intention NAM TPB Information publicity IP does not directly affect recycling intention, but indirectly affects it through PN and ATT. Asadi et al (2019) Sustainable consumption Green IT adopting intention NAM TPB Competitive advantage Managerial interpretation Attitude, managerial interpretation, cost saving, AR, AC and PN are significant factors that affect the willingness to adopt. Wang, Wang et al (2019) Waste management Waste separation behavior NAM Information publicity Information quality IP has a significant direct impact on residents’ behavioral intention toward waste separation, and information quality positively moderates this impact.…”

Section: Literature Reviewmentioning

confidence: 99%

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Uncovering people’s mask-saving intentions and behaviors in the post-COVID-19 period: Evidence from China

Shen

et al. 2021

Sustainable Cities and Society

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Highlights People’s mask-saving intention in the post-COVID-19 period is first revealed. Integrating TPB and NAM to construct a new and comprehensive theoretical model. Information publicity, environmental concern, subjective norms, person norms, and perceived behavioral control are key drivers. The optimism performance of the mask market and supply chain has not significantly affected people’s saving intention. The publicity for COVID-19 should be effective and appropriate to avoid panic caused by excessive publicity.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Uncovering people’s mask-saving intentions and behaviors in the post-COVID-19 period: Evidence from China

Shen

et al. 2021

Sustainable Cities and Society

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“…Cloud computing technology is based on Internet technologies and cost-effectiveness as key distinguishing characteristics of CC [139] which can influence its adoption. Researchers found that perceived higher cost saving led to higher intention to adopt an innovation [140,141]. Based on the literature, it is postulated that: Hypothesis 4 (H4).…”

Section: Cost Savingsmentioning

confidence: 99%

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

et al. 2020

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Cloud computing (CC) delivers services for organizations, particularly for higher education institutions (HEIs) anywhere and anytime, based on scalability and pay-per-use approach. Examining the factors influencing the decision-makers’ intention towards adopting CC plays an essential role in HEIs. Therefore, this study aimed to understand and predict the key determinants that drive managerial decision-makers’ perspectives for adopting this technology. The data were gathered from 134 institutional managers, involved in the decision making of the institutions. This study applied two analytical approaches, namely variance-based structural equation modeling (i.e., PLS-SEM) and artificial neural network (ANN). First, the PLS-SEM approach has been used for analyzing the proposed model and extracting the significant relationships among the identified factors. The obtained result from PLS-SEM analysis revealed that seven factors were identified as significant in influencing decision-makers’ intention towards adopting CC. Second, the normalized importance among those seven significant predictors was ranked utilizing the ANN. The results of the ANN approach showed that technology readiness is the most important predictor for CC adoption, followed by security and competitive pressure. Finally, this study presented a new and innovative approach for comprehending CC adoption, and the results can be used by decision-makers to develop strategies for adopting CC services in their institutions.

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“…In addition, previous work by [23] claimed that the application of one single theory alone is insufficient to explain people's behaviour. Hence, additional variables play a significant role in improving the explanation of behaviour.…”

Section: The Theory Of Planned Behaviormentioning

confidence: 99%

Predicting Purchase Intention of Hybrid Electric Vehicles: Evidence from an Emerging Economy

Tanwir

Hamzah

2020

WEVJ

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Dependence on energy-intense transportation systems could escalate the chances of environmental degradation. A shift of transportation modes from conventional vehicles to energy-efficient vehicles is a viable method of mitigating the rate of carbon emissions; however, the adoption rate of environment-friendly vehicles is still low globally and vital to explore. This study aims to investigate the determinants that influence individuals’ intention to purchase hybrid vehicles, through the development of a research model based on the Theory of Planned Behavior, integrated with environmental knowledge as an additional variable. Data were collected from 256 car users across Malaysia’s metropolitan city. The findings augment the rich theoretical basis of the Theory of Planned Behavior by incorporating environmental knowledge as a supplementary variable in assessing individuals’ behaviour in the sustainable transportation domain, which constitutes the novelty value of this study. The outcomes imply the need for governments and practitioners to execute appropriate approaches in nurturing public’s motivation in adopting energy-efficient cars, so that the adoption rate of pro-environmental vehicles can be increased. Overall, this study infers that the adoption of hybrid vehicles is viable if individuals are properly provided with sufficient awareness and education, which subsequently builds trust, empowerment, and confidence in owning these vehicles.

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Investigating factors influencing decision-makers’ intention to adopt Green IT in Malaysian manufacturing industry

Cited by 53 publications

References 112 publications

Uncovering people’s mask-saving intentions and behaviors in the post-COVID-19 period: Evidence from China

Uncovering people’s mask-saving intentions and behaviors in the post-COVID-19 period: Evidence from China

A Multi-Analytical Approach to Predict the Determinants of Cloud Computing Adoption in Higher Education Institutions

Predicting Purchase Intention of Hybrid Electric Vehicles: Evidence from an Emerging Economy

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