Key Factors for Green IS Acceptance in Banking Segment

Almost all service organizations are now well aware about global warming and advantages of green information systems (Green IS) in order to gain social and economic profit at the cost of no harmful effect on environment. Recurrent annotations in the literature have explored that for successful Green IS adoption certain keys factors are required to be considered and followed in various organizations. This paper reviews, analyzes, and corroborates 11 key factors empirically that are accountable for successful adoption of Green IS and performance improvement achievement of banking segments with special reference to the banks positioned at Lucknow, Uttar Pradesh, India. Eleven key factors are identified via in-depth literature review and examined using UTAUT2 and T-O-E models. Analysis of Moment Structure 21.0-Structural Equation Modeling tool is used in the study for data analysis and corroboration. The study will enrich the literature review in this field; also, it will be helpful to the decision makers and practitioners in different segments for successful adoption of Green IS in organizations.

Aiding Users in Green IS Adoption with Persuasive Systems Design

Green information systems (IS) is a research domain that contributes to finding solutions for fostering environmental behavior in individuals, organizations, and communities. So far, researching Green IS for individual users has been less abundant and requires more insight. Users’ engagement with technologies start from adoption. Green IS challenges users to modify their lifestyles in order to achieve sustainable behavior patterns. This article is focused on persuasive Green IS, which have in-built features to convince users to modify their lifestyles and to improve technology adoption intention. In the theoretical background, main concepts, especially sustainable behavior, Green IS, IS adoption, persuasive systems, and persuasive systems design (PSD) model are presented. In this article, we analyzed three studies that focused on individual sustainable behavior change with persuasive Green IS. Overviews of these studies are presented and the studies were analyzed as a whole. The reviewed studies suggest that the PSD model has a high potential for becoming a tool for Green IS enhancement. The key themes identified from the studies bring value to both academics and practitioners, as well as suggest directions for researching the individual behavior change with persuasive Green IS in the future.

A Holistic Study on Green IT/IS Practices in ICT Departments of Collaborative Enterprise

The purpose of this article is to identify various drivers which influence the information communication technology (ICT) departments of collaborative enterprises (CEs) to infuse green information technology (Green IT) and green information systems (Green IS's) as well as the Green IT/IS practices into their organizations. The identified Green IT/IS drivers and practices were derived from an extensive literature review and later validated based on a multi-case study conducted in four enterprises. Findings from the case study support management and practitioner understanding and initiate environmentally friendly practices for sustainability attainment. Respectively, the Green IT/IS drivers and practices presented in this study adds to the body of knowledge by associating and structuring both managerial and practitioner implications for Green IT/IS infusion and assimilating into ICT departments of CE.

IDENTIFICATION OF DEVELOPMENT DETERMINANTS OF GREEN INFORMATION SYSTEMS FOR URBAN AREAS – POLISH CASE STUDY

The green information systems (green IS) address the demand for information about green spaces in both urban and non-urbanized areas. This systems are part of green infrastructure (GI) and National Spatial Data Infrastructure (NSDI). GI are very important for the urban environment, and it improves the quality of life. There are various types of urban greenery. The green IS can support the management, maintenance, monitoring, protection and revitalization of urban greenery and all GI. This systems contribute to the sustainable development of urban areas, the development of smart and green cities and spatially enabled societies where community members are involved in local projects. In Poland, few cities have so far taken the effort to create a green IS due to the costs of starting and maintaining the system. Municipalities give up the creation of this system because it is not a good first necessity. However, green infrastructure is developing in Poland and there is a strong demand for green IS for easier GI management. Therefore, the aim of the research was to identify various determinants (factors) that may affect the development of green IS in Poland. Analysisof determinants is necessary and important from the point of view of knowledge of mechanisms affecting the development of green IS and may be useful to develop a strategy for further activities promoting the creation of green IS in all cities in Poland. The research results provided the basis for distinguishing groups of impact factors due to their specificity and showed which instruments are applied to them taking into account global and local initiatives.

A Framework to Predict Consumption Sustainability Levels of Individuals

Innovative Information Systems services have the potential to promote more sustainable behavior. For these so-called Green Information Systems (Green IS) to work well, they should be tailored to individual behavior and attitudes. Although various theoretical models already exist, there is currently no technological solution that automatically estimates individual’s current sustainability levels related to their consumption behaviors in various consumption domains (e.g., mobility and housing). The paper aims at addressing this gap and presents the design of GREENPREDICT, a framework that enables to predict these levels based on multiple features, such as demographic, socio-economic, psychological, and factual knowledge about energy information. To do so, the paper presents and evaluates six different classifiers to predict acts of consumption on the Swiss Household Energy Demand Survey (SHEDS) dataset containing survey answers of 2000 representative individuals living in Switzerland. The results highlight that the ensemble prediction models (i.e., random forests and gradient boosting trees) and the multinomial logistic regression model are the most accurate for the mobility and housing prediction tasks.

Green Information Systems Refraction for Corporate Ecological Responsibility Reflection in ICT Based Firms

This study develops a green information system (IS) interpretive model grounded on technology organization environment (TOE) framework to identify the factors that influence Green IS refraction and further examines to what extent these factors impact Green IS refraction in information communications technology (ICT) based firms for corporate ecological responsibility reflection. For this purpose, a survey was conducted among ICT based firms and analyzed using partial least square-structural equation modeling (PLS-SEM). Results indicate that the technological factors significantly influence Green IS refraction. In addition, results suggest that the organizational factors positively influence Green IS refraction. Moreover, results reveal that environmental factors significantly determine the extent of Green IS refraction. Finally, results show that Green IS reflection initiatives implemented in ICT-based firms positively defines corporate ecological responsibility. Respectively, this study offers a comprehensive approach for measuring Green IS practice implemented in ICT based firms.

Green Information Systems for Sustainability

Green Information Systems (IS) refers to the use of IS to achieve environmental objectives, whereas green Information Technology (IT) refers to the practice and study of using IT and computer resources in a more environmentally responsible and effective manner (Dedrick, 2010). Information Systems, computers and computing in general consume an immense amount of natural resources, the energy used to power them, and the problems that arise in the disposing of obsolete hardware. Mark O'Neill, the author of Green IT for Sustainable Business Practice defines green IT as, “a collection of strategic and tactical initiatives that directly reduces the carbon footprint of an organization's computing operation” (O'Neill, 2010). Issues of sustainability have started to become a significant topic of discussion in the information systems community. IT practitioners are focused more now than ever on reducing the direct impact that IT use has on the environment (Dedrick, 2010).