Sector diversity in Green Information Technology practices: Technology Acceptance Model perspective

Akman, İbrahim; Mishra, Alok

doi:10.1016/j.chb.2015.03.009

Cited by 89 publications

(92 citation statements)

References 63 publications

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“…This reflects the effectiveness of government efforts in guiding green behaviors across organizations, specifically when such behaviors have an organization-wide influence (Zezder, 2017). These findings are consistent with (Akman and Mishra 2015) finding, where government policies that encourage GIT practices during IT lifecycle were among the most important reason for adopting GIT practices. Chen et al (2011) found that coercive pressures in the form of regulations had the most impact in the areas of pollution prevention and sustainable development compared with mimetic pressure.…”

Section: Discussionsupporting

confidence: 92%

“…Adopting GIT a key question is what factors drive managers of SEs to continue GIT usage? In this context, several scientists highlighted the role of institutional pressures on GIT in influencing the acceptance and use of GIT practice (Chen et al 2011;Akman and Mishra 2015). In line with earlier studies, we conceptualize GIT intention to continuing usage GIT as a dependent variable.…”

Section: Intentions To Continue Git Usagementioning

confidence: 87%

“…The primary objective of this research was to empirically examine the effect of institutions pressures on the intentions of managers of SEs in Thi-Qar province to continue using GIT. Three research questions drove this study: (Akman and Mishra 2015) Do institutional pressures (coercive, mimetic, and normative) influence the intentions of managers SEs to the continuation usage GIT? (Alzaidy 2018) Are their effects differ?…”

Section: Discussionmentioning

confidence: 99%

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Studying the effect of institutional pressures on the intentions to continue green information technology usage

Alziady

Enayah

2019

AJSSR

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The last decade witnessed the emergence of green information technology(GIT) which includes organizational initiatives to reduce the negative impact of information technology (IT) on the environment. GIT has gained considerable interest among researchers because of a huge negative impact on the environment and an extensive use of information technology. A research instrument has been developed to link three components: coercive pressure, normative influence, and mimicry and stdy their effect on GIT adopt and continuance intentions. The model is validated using data collected from a field survey of 99 managers of small enterprises (SEs) in Thi-Qar province. The analysis that normative pressures are the most influential in the adoption of green IT. The coercive pressures have the most significant effect on the continuance usage of GIT practices. The current study would contribute to illustrate knowledge in the field of IT, regarding the decision maker's intention for the adoption and continue using GIT through the development of a theoretical framework that identified the key factors of GIT adoption and intention continuance.

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Section: Discussionsupporting

confidence: 92%

Section: Intentions To Continue Git Usagementioning

confidence: 87%

Section: Discussionmentioning

confidence: 99%

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Studying the effect of institutional pressures on the intentions to continue green information technology usage

Alziady

Enayah

2019

AJSSR

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“…Previous research has successfully integrated the TPB into the TAM to investigate technology acceptance behavior (Akman and Mishra, 2015). The current study aimed to investigate how perceived enjoyment and the two original TAM variables (i.e., perceived usefulness and PEU) influence users’ engagement in video calling in different contexts.…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

Difference between Leisure and Work Contexts: The Roles of Perceived Enjoyment and Perceived Usefulness in Predicting Mobile Video Calling Use Acceptance

Zhou

Feng

2017

Front. Psychol.

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There is a rapidly growing body of literature on mobile video calling, which is a promising communication technology; however, little research has focused on user acceptance of mobile video calling, especially in different use contexts. This study explored factors (especially perceived enjoyment) influencing the intention of users to employ video calling in different contexts (a work and a leisure context) by applying the technology acceptance model (TAM) combined with the theory of planned behavior. The revised research model differentiated external factors (subjective norms and personal innovativeness) from internal factors (perceived usefulness, perceived ease of use (PEU), perceived enjoyment, and intention to use mobile video calling). In addition, the current study investigated predictors of perceived enjoyment across these two contexts. With the use of a structured questionnaire, participants were divided in two groups and completed self-report measures related to one context; a total of 386 student respondents’ responses were analyzed. The results indicated that users’ intentions were directly predicted by their perceived enjoyment of video calling (β ≥ 0.35) and the call’s perceived usefulness (β ≥ 0.27) and PEU (β = 0.13, only for the leisure context), which jointly explained at least 55.6% of the variance in use intention. In addition to the effects of these predictors on mobile video calling use acceptance, an assessment of the moderating effects of different contexts indicated that perceived enjoyment played a more important role in influencing intention for the leisure context, while perceived usefulness appeared to be more important for the work context. This study’s findings are important in that they provide strong support for the necessity of distinguishing among different types of contexts when predicting users’ intentions to use video calling. Furthermore, the results showed that perceived enjoyment was most significantly influenced by perceived usefulness (β ≥ 0.61), followed by PEU (β ≥ 0.13). In summary, the roles of core TAM variables (especially perceived enjoyment and perceived usefulness) and of external factors (subjective norms and personal innovativeness) differed between the leisure and work contexts. The implications of these findings are discussed.

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“…Moreover, green practices-marketing coordination and green practices-manufacturing coordination were significant predictors for environmental performance, while green practices-IS alignment had an indirect relationship with environmental performance by incorporating green practices-marketing coordination and green practices-manufacturing coordination. Akman and Mishra [244] examine the role of green information technology in IT professionals in private and public sectors in 182 public and private sectors. Technology Acceptance Model (TAM) was used for this study with the following variables: perceived ease-of-use, subjective norms, perceived usefulness, attitude toward, and actual system usage level of awareness.…”

Section: Breakdown Of Articles Based On Environmental Information Tecmentioning

confidence: 99%

Application of Structural Equation Modeling (SEM) to Solve Environmental Sustainability Problems: A Comprehensive Review and Meta-Analysis

et al. 2017

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Most methodological areas assume common serious reflections to certify difficult study and publication practices, and, therefore, approval in their area. Interestingly, relatively little attention has been paid to reviewing the application of Structural Equation Modeling (SEM) in environmental sustainability problems despite the growing number of publications in the past two decades. Therefore, the main objective of this study is to fill this gap by conducting a wide search in two main databases including Web of Science and Scopus to identify the studies which used SEM techniques in the period from 2005 to 2016. A critical analysis of these articles addresses some important key issues. On the basis of our results, we present comprehensive guidelines to help researchers avoid general pitfalls in using SEM. The results of this review are important and will help researchers to better develop research models based on SEM in the area of environmental sustainability.

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Sector diversity in Green Information Technology practices: Technology Acceptance Model perspective

Cited by 89 publications

References 63 publications

Studying the effect of institutional pressures on the intentions to continue green information technology usage

Studying the effect of institutional pressures on the intentions to continue green information technology usage

Difference between Leisure and Work Contexts: The Roles of Perceived Enjoyment and Perceived Usefulness in Predicting Mobile Video Calling Use Acceptance

Application of Structural Equation Modeling (SEM) to Solve Environmental Sustainability Problems: A Comprehensive Review and Meta-Analysis

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