Investigating the role of environmental concern and the unified theory of acceptance and use of technology on working from home technologies adoption during COVID-19

Razif, Mohammad; Miraja, Bobby Ardiansyah; Persada, Satria Fadil; Nadlifatin, Reny; Belgiawan, Prawira Fajarindra; Redi, Anak Agung Ngurah Perwira; Lin, Shu-Chiang

doi:10.9770/jesi.2020.8.1(53)

Cited by 20 publications

(28 citation statements)

References 40 publications

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“…From the literature review, we have found that PE, EE, SI, and FC have a positive relationship with the use of e-government [8,45]. Additionally, one recent study also confirmed that PE, EE, SI, and FC have a positive influence on users' intention to use working from home technologies during the COVID-19 pandemic [46]. If citizens can use e-government and perceive that this website is useful, they will most likely adopt it.…”

Section: Discussionmentioning

confidence: 72%

The Role of Trust and Risk in Citizens’ E-Government Services Adoption: A Perspective of the Extended UTAUT Model

2021

Sustainability

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This research particularly aims to investigate how trust and perceived risk influence citizens’ e-government adoption. The findings of the study reveal that citizens’ trust of the government (TOG) and trust of the internet (TOI) positively affect citizens’ e-government adoption (EGA); perceived risk (PR) is negatively associated with citizens’ EGA. Interestingly, this study also demonstrates the negative moderating effect of PR on the relationship between TOG and EGA, TOI and EGA. The results also indicate that performance expectancy (PE), effort expectancy (EE), social influence (SI), and facilitation conditions (FC) influence citizens’ EGA positively. Lastly, implications for practice and research are discussed.

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Section: Discussionmentioning

confidence: 72%

The Role of Trust and Risk in Citizens’ E-Government Services Adoption: A Perspective of the Extended UTAUT Model

2021

Sustainability

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“…Factors influencing the acceptance of work from home (WFH) technologies in the period of COVID-19 was studied in [48] using the extended UTAUT model and employing environmental concern and 57.4% acceptance was predicted for WFH technology. In [49] , the adoption of digital contact tracing in the period of COVID-19 was studied.…”

Section: Literature Reviewmentioning

confidence: 99%

A modified UTAUT model for the acceptance and use of digital technology for tackling COVID-19

Akinnuwesi

Uzoka

Fashoto

et al. 2022

Sustainable Operations and Computers

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COVID-19 pandemic expedites the development of digital technologies to tackle the spread of the virus. Several digital interventions have been deployed to reduce the catastrophic impact of the pandemic and observe preventive measures. However, the adoption and utilisation of these technologies by the affected populace has been a daunting task. Therefore, this study carried out exploratory investigation of the factors influencing the behavioural intention (BI) of people to accept COVID-19 digital tackling technologies (CDTT) using the UTAUT (Unified Theory of Acceptance and Use of Technology) framework. The study applied principal components analysis and multiple regression analysis for hypotheses testing. The study revealed that performance expectancy (PE), facilitating conditions (FC) and social influence (SI) are the best predictors of people's BI to accept CDTT. Also, organizational influence and benefit (OIB) and government expectancy and benefits (GEB) influence the people's BI. However, variables such as age, gender and voluntariness to use CDTT have no significance to influence BI because the CDTT is still nascent and not easily accessible. The results show that the decision-makers and regulators should consider inciting variables such as PE, FC, SI, OIB and GEB, that motivate the acceptance and use of CDTT. Furthermore, the populace must be sensitized to the availability and use of CDTT in all communities. Also, the path diagram and hypothesis testing results for CDTT acceptance and use, will help government and private organizations in planning and responding to the digitalization of COVID-19 protective measures and hence revise the COVID-19 health protection regulation.

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“…PU and PEOU are expected to be fairly general determinants of user technology acceptance [24]. Over the past few decades, psychologists and IS researchers have replicated Davis' study [25] to contribute empirical evidence on the association between PU, PEOU, and actual use [24,61,62,64]; however, investigating the direct effects of these two particular user beliefs on technology acceptance behavior, specifically during remote working, is a different approach which few studies have used (e.g., [65][66][67]). Consistent with extant research, we argue that when employees work from home due to the COVID-19 pandemic, their perceptions of using new technology will influence their decision to use it.…”

Section: Technology Acceptance: Antecedents and Work Engagementmentioning

confidence: 99%

Employees’ Work-Related Well-Being during COVID-19 Pandemic: An Integrated Perspective of Technology Acceptance Model and JD-R Theory

Shamsi

Iakovleva

Olsen

et al. 2021

IJERPH

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Employees’ work-related well-being has become one of the most significant interests of researchers and organizations due to the COVID-19 pandemic. This study examines how job characteristics such as mental load and team support, and technology-related factors such as perceived ease of use, perceived usefulness, and technology acceptance, impact employees’ work engagement as a dimension of work well-being. Data were collected through a sample of 610 academic employees from three Norwegian universities after COVID-19 restrictions were implemented. The structural model estimation showed that mental load, perceived team support, and technology acceptance were significantly related to work engagement. It also showed that perceived usefulness, perceived ease of use, and mental load were significantly related to technology acceptance. Furthermore, the analysis showed that technology acceptance partially mediates the relationship between job characteristics and work engagement, and fully mediates the relationship between technology-related perceptions and work engagement. Building on the technology acceptance model (TAM) and job demands-resources (JD-R) theory, this study provides insights into the effects of job-related and technology-related factors on remote workers’ well-being. By doing so, we contribute to the existing literature by demonstrating how remote working with the use of newly implemented technologies can be related to employees’ well-being during a pandemic.

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Investigating the role of environmental concern and the unified theory of acceptance and use of technology on working from home technologies adoption during COVID-19

Cited by 20 publications

References 40 publications

The Role of Trust and Risk in Citizens’ E-Government Services Adoption: A Perspective of the Extended UTAUT Model

The Role of Trust and Risk in Citizens’ E-Government Services Adoption: A Perspective of the Extended UTAUT Model

A modified UTAUT model for the acceptance and use of digital technology for tackling COVID-19

Employees’ Work-Related Well-Being during COVID-19 Pandemic: An Integrated Perspective of Technology Acceptance Model and JD-R Theory

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