کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
350346 618442 2015 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Sector diversity in Green Information Technology practices: Technology Acceptance Model perspective
ترجمه فارسی عنوان
تنوع بخش در شیوه های فناوری اطلاعات سبز: فناوری دیدگاه مدل پذیرش
کلمات کلیدی
فناوری اطلاعات سبز (GIT)؛ TAM؛ متغیرهای خارجی؛ بخش؛ تنوع؛ مدل معادلات ساختاری (SEM)
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• Green IT among IT Professionals in public and private sector is investigated.
• Technology Acceptance Model (TAM) supports Green IT.
• Subjective norms, (SN) appears to be the only factor, which indicates sector differences.
• External factors have significant effect in Green IT acceptance.

This paper examines the existence of diversity between public-and private-sector establishments in Green Information Technology (GIT) adoption using the ‘Technology Acceptance Model’ (TAM). In this study, GIT simply refers to using IT in ways that help to reduce environmental impacts, which include using energy more efficiently and reducing waste. The model is extended to include the external variables as subjective norm and the level of GIT awareness. For this purpose, a survey was conducted among professionals from public- and private-sector establishments. The findings suggest the following: (1) Diversity exists among establishments from public- and private-sectors in the influence of the Perceived Ease-of-Use (PEU) on Perceived Usefulness (PU) and on the Attitude Towards Use (ATU); (2) Most of the public-sector professionals have concerns for environmental sustainability in using IT; (3) TAM is an important tool for investigating the specific barriers and facilitators of environmental behavior at work; (4) TAM has a have significant predictive power in public -sector establishments; and (5) TAM is significant for private-sector establishments except the relations between the PEU and PU, and PEU and ATU.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computers in Human Behavior - Volume 49, August 2015, Pages 477–486
نویسندگان
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