TOWARDS A CONTINGENCY MODEL FOR GREEN IT GOVERNANCE

Although practitioners have begun to implement Green IT into their companies, the governance of Green IT varies significantly. No research has been done to explain these differences in Green IT governance. Building upon contingency theory and IT governance, we develop a contingency model for Green IT governance which demonstrates the fit between contingencies and the company-specific configuration of Green IT. In the first step, three archetypes of Green IT governance reaching from centralized over federal to decentralized are presented. In the second step, we identify from literature competitive strategy, firm size, organization structure, performance strategy, environmental impact of industry, environmental strategy, IT infusion, and IT diffusion as contingency factors determining the ideal type of Green IT governance. The contingency model for Green IT governance is validated based on insights from five case studies. With the enhanced understanding of how Green IT governance is shaped by contingency factors, organizations are able to select the most successful Green IT governance form

Green IT at IT-Dienstleistungszentrum Berlin

Das IT-Dienstleistungszentrum (ITDZ) Berlin ist eine Anstalt des öffentlichen Rechts (AöR) und der zentrale IT-Dienstleister für die Berliner Verwaltung. Es unterstützt die öffentlichen Institutionen des Landes Berlin mit moderner Informations- und Kommunikationstechnik (IKT) und stellt hierfür umfassende IT-Dienstleistungen bereit

Predictors of Green IT Adoption: Implications from an Empirical Investigation

The increasing attention towards the environmental impact of IT (information technology) demands reorientation from IT departments. Research has outlined that the importance of Green IT is related to IT business alignment and environmental initiatives while uncertainty potentially derives from missing standards, measurements, or missing internal support for Green IT. We assume that importance and uncertainty are main determinants for Green IT adoption. These theoretical assumptions still lack empirical validation. As a contribution to the ongoing discussion of Green IT, we analyze data from 116 IT departments on the predictors of Green IT adoption using multinomial logistic regression. It is shown that the outlined assumptions prove to be statistical significant. These findings contribute to existing knowledge on Green IT and provide practical recommendations for CIOs, IT managers, environmental and sustainability managers as well as new opportunities for further research in this field

Sustainability in Information Systems: Assortment of Current Practices in IS Organizations

The increasing dissemination of information systems into all areas of business and personal life has drawn attention to its environmental effects. IS organizations are becoming aware that they have to take up their responsibility by thinking seriously about sustainability management for information systems. While measures for using computing resources efficiently have received considerable attention, the topic of sustainability in IS management is still lacking theoretical foundation. The purpose of this paper is to explore current environmental efforts in sustainable IS management. Based on fifteen expert interviews with CIOs, IS and environmental managers from IS organizations, the paper provides researchers and practitioners alike with an explorative study on the situation of sustainability in IS operations and, thus, makes a contribution to this emerging IS research topic

Creating a Taxonomy of Corporate Social Responsibility, Sustainability, Stakeholders, Environment, Green IS, and Green IT: A Literature Review

The main goal of this article is to link Green Information Systems (Green IS) and Green Information Technology (Green IT) to the overall sustainability topic. Therefore, the authors provide a taxonomy in the form of a matrix to relate the relevant concepts to each other. The quest is to identify missing relationships and establish concepts relationships. Papers from six major journals and one conference between 2006 and 2010 were examined in order to shed light on the relationship matrix. The article delivers definitions, insights into usage of terminology and existing boundaries and links amongst definitions. Besides the comprehensive overview, the authors were able to identify new links between the relevant terms. This was done by reversing given relationship definitions between the relevant terms and by using analogies

Ecosia – Who Cares About a Green Search Engine?

The environmental impact of IT is facing increasing public attention. The search engine Ecosia takes advantage of thissituation by pursuing a Social Business model. Search engines need electricity to provide their services and indirectlyproduce CO2. The estimation of greenhouse gas emissions for the average search query using the market leader Googlefluctuate between 0.2 g and 10.0 g of CO2. The search engine Ecosia tries to compensate the emissions by donating most ofits revenues to the World Wildlife Fund (WWF) and save rainforest from deforestation. Rainforests process CO2 throughphotosynthesis and store it as carbon. The question arises if Social Business models in general possess potential for success inthe search engine market. To investigate this question we apply case study research. Additionally, we use a survey to evaluatewhat is important to users and which aspects of search engines influence the customer’s attitude towards social business

Influence of Green IT on Consumers’ Buying Behavior of Personal Computers: Implications from a Conjoint Analysis

The increasing attention towards the environmental impact of IT (Information Technology) demands reorientation from IT hardware and service organisations. Consumers are more than ever sensitive about the environmental impact of products and services they buy. Environmental attributes therefore play an important role in the buying process. While the concept of Green IT has been primarily researched from the corporate perspective, the consumer perspective has widely been neglected. The purpose of this paper is to evaluate the influence of Green IT attributes of PCs (Personal Computers) on the buying behaviour of consumers. As a contribution to the ongoing discussion of Green IT, we provide marketing data from 500 participants on the importance of Green IT using conjoint and cluster analysis. It is shown that the market share for Green IT PCs could be up to 26.6%. Especially female customers value environmentally friendly attributes. Thereafter, we draw recommendations for the marketing mix of IT hardware and service organisations. The results should provide researchers and practitioners with new insights and measures about the relevance and application of Green IT in the scope of PCs

Aligning Green IT with Environmental Strategies: Development of a Conceptual Framework that Leverages Sustainability and Firm Competitiveness

Environmental technologies are becoming increasingly important for business firms to reduce environmental impacts anddifferentiate from competitors. In this paper, fundamental approaches of strategic management are presented and the strategicsignificance of sustainability initiatives and Green Information Technology (Green IT) is analyzed. Environmental strategiesare introduced and the importance of strategically aligning the business, sustainability, and IT domain is highlighted. Weargue that there is no consistent approach for aligning Green IT with sustainability goals and business objectives so far. Toclose this research gap, we integrate Green IT into the concept of IT strategy and develop the Strategic Green IT AlignmentFramework (SGITAF), which could prove meaningful for both practitioners and academics. The SGITAF differentiatesbetween an internal and an external perspective and comprises the domains Green IT and environmental sustainability. Fourdistinct Green IT alignment perspectives, which vary according to their competitive focus and their competitive advantage,are suggested

Response to “Letter in response to ‘Students’ age and parental level of education influence COVID-19 vaccination hesitancy’”

[No abstract available