IDEAS home Printed from https://ideas.repec.org/p/sek/ibmpro/2303880.html
   My bibliography  Save this paper

A Study on the Factors Impacting Managers? Green IT Perceptions

Author

Listed:
  • Serkan Ada

    (Selcuk University)

  • Sümeyra Ceyhan

    (Bingöl University)

Abstract

Recently, concerns with environmental issues enabled businesses to transform their practices to become more environmentally sensitive. It is widely accepted that carbon emissions have an increasing impact on the climate and environmental problems. It is further known that information technology (IT) makes a significant contribution to carbon emissions, albeit not being directly perceptible to the general public. That?s why, a new term called green IT emerged recently to create a positive and environmentally sensitive movement in IT field. Green IT is defined as the practices and technologies for designing, manufacturing, using, and disposing of computers, servers, and associated devices such as monitors, printers, storage devices, and networking and communication systems to minimize impact on the environment. Businesses have recently become aware of the issues related to green IT, as practicing green IT has a positive impact not only on the environment and global warming, but also on the profits through decreasing energy consumption costs. For this reason, it is necessary to study green IT practices and perceptions of businesses and managements as well as the factors influencing it. This study examines the impact of environmentally sensitive management and human resources on green IT practices. The current study used the data collected via a structured survey conducted in Kahramanmara? province of Turkey, by incorporating 121 businesses operating in textile, food, steel kitchen utensils, and other sectors. The data analysis with respect to the structural model and the psychometric properties of the research model was done by partial least squares (PLS) method by using SmartPLS software. The results of the data analysis reveal that the measurement model meets all the required criteria (reliability, discriminant validity, convergent validity). According to the results of the structural model, the perceptions of managers concerning the environmentally sensitive management and human resources are positively related to green IT practices. The findings of the current study reveal that businesses that consider environment in their strategic decisions and businesses that have human resources that are aware of the environment in their activities are more likely to have positive attitudes towards practicing green IT.

Suggested Citation

  • Serkan Ada & Sümeyra Ceyhan, 2015. "A Study on the Factors Impacting Managers? Green IT Perceptions," Proceedings of Business and Management Conferences 2303880, International Institute of Social and Economic Sciences.
  • Handle: RePEc:sek:ibmpro:2303880
    as

    Download full text from publisher

    File URL: https://iises.net/proceedings/business-management-conference-vienna/table-of-content/detail?cid=23&iid=001&rid=3880
    File Function: First version, 2015
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Green IT; environment; environmental sensitivity; environmentally sensitive management; environmentally sensitive human resources;
    All these keywords.

    JEL classification:

    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sek:ibmpro:2303880. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Klara Cermakova (email available below). General contact details of provider: https://iises.net/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.