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This paper aims to propose a novel hybrid-decision-making trial and evaluation laboratory-K means clustering algorithm as a decision-making framework for analyzing the barriers of green computing adoption.

A literature review is conducted to extract relevant green computing barriers. An expert elicitation process is performed to finalize the barriers and to establish their corresponding interrelationships.

The proposed approach offers a comprehensive framework for modeling the barriers of green computing adoption.

The results of this paper provide insights on how the barriers of green computing adoption facilitate the adoption of stakeholders. Moreover, the paper provides a framework for analyzing the structural relationships that exist between factors in a tractable manner.

The paper is one of the very first attempts to analyze the barriers of green computing adoption. Furthermore, it is the first to offer lenses in a Philippine perspective. The paper offers a novel algorithm that can be useful in modeling the barriers of innovation, particularly, in green computing adoption.

In the age of global warming where there is a need to go green in various sectors of life, it is also an urgent need for different IT industries and companies to incorporate green agenda. The green agenda is also dependent on human behavior. Therefore, it is equally important to explore the factors that positively affect green computing behavior. In this regard, contextual considerations are important. Thus, the purpose of this study is to explore the green computing intent and behavior of heavy IT users, i.e. librarians underpinning the theory of planned behavior.

The study was based on a quantitative research design. A total of 181 survey-based online questionnaires were filled by Pakistani university librarians. The proposed hypothetical model was tested using structural equation modeling in SmartPLS v3.2.

The study findings confirm that attitude and perceived behavioral control have a significant positive impact on the intention to adopt green computing behavior (GC behavior) among academic librarians. The findings further reveal that green computing awareness proved a strong predictor of green computing behavior, as it not only affects GC behavior but also impacts positively on attitude and perceived behavioral control that ultimately affects GC behavior through intention.

The study argues that green computing behavior is dependent on several predictors that can be deployed to develop a positive behavior towards green computing. The study is important as it is the first time conducted on one of the heavy IT user groups, i.e. librarians.

This paper aims to propose a new genetically evolved fuzzy cognitive mapping approach as a decision-making framework for analyzing the relationships between the drivers and strategies for green computing adoption.

A focus group discussion among stakeholders in the Philippines is used to establish the relationships between the drivers and strategies of green computing adoption.

The proposed approach significantly reduces the time complexity for developing the fuzzy cognitive maps and provides a basis for comprehensively clustering drivers and strategies that share similar characteristics.

This paper’s results provide insights into how the drivers and strategies of green computing adoption facilitate the intention of adopting stakeholders. Moreover, it provides a framework for analyzing structural relationships that exist between factors in a compliant manner.

To the best of the author’s knowledge, the paper is the first to analyze the drivers and strategies of green computing under a complex systems’ perspective. Moreover, this is the first study to offer lenses in a Philippine scenario.

Without damaging and consuming natural resources, green computing technology can meet the needs of society for a long time. This paper discusses how to realize the sustainable development of social economy through the innovation of green computing technology.

For the green computing technology and sustainable social and economic development problems, it builds back propagation (BP) neural network model and analyzes the topological structure of the network model as well as the impact of the training errors allowed by the network on its performance.

By optimizing the number of input nodes, the number of hidden nodes and the target value, the genetic algorithm (GA) can get the optimal neural network model. The simulation experiment proves that the proposed model is effective.

It can not only reduce the possibility of falling into local optimum, but also optimize the initial weights and thresholds of BP neural network and further improve the stability and test effect of BP neural network model.

The main aim of this paper is to investigate the potential of Cloud Computing as a multilayer integrative collaboration space for knowledge acquisition, nurturing and sharing. The paper will pinpoint benefits and challenges of Cloud Computing in satisfying the new techno-sociological requirements of the knowledge society through the provision of information technology (IT) green services. Furthermore, the article calls for the engagement of researchers to generate additional discussion and dialog in this emerging and challenging area.

The paper applies a conceptual analysis to explore the utilization of the Cloud ecosystem as a new platform for knowledge management (KM) technologies characterized by environmental and economic benefits.

This paper reveals the emergence of a new layer in the Cloud stack known as Knowledge Management-as-a-Service. The article discusses how KM has the opportunity to evolve in synergy with Cloud Computing technologies using the modified Metcalfe’s law, while simultaneously pursuing other benefits. This research reveals that if Cloud Computing is successfully deployed, it will contribute to the efficient use of the under-utilized computing resources and enable a low carbon economy. However, challenges such as security, information overload and legal issues must be addressed by researchers before Cloud Computing becomes the de facto KM platform.

While the technical, legal and environmental complications of Cloud Computing have received the attention warranted, the KM concepts and implementation facets within the realm of the knowledge society have not yet received adequate consideration. This paper provides enterprise KM architects, planners, chief information officers (CIOs) and chief knowledge officers (CKOs) with a comprehensive review of the critical issues, many of which are often overlooked or treated in a fragmented manner within the Cloud environment.

The purpose of this paper is to evaluate, through arguments, the enabling factors that are expected to facilitate the adoption of Cloud Computing.

The approach is based on the study of the recent developments in ICT and the authors' views and arguments as to how such advancements are expected to lead to an increased adoption of Cloud Computing.

Several ICT areas have to be developed in conjunction for the promise of Cloud Computing to be realised. These include (but are not limited to) the development of parallel programming paradigms and open source software, Cloud access to high performance computing, Green IT, investment in low‐cost access‐cum‐computing devices and hi‐speed networks.

The paper identifies the current advances in ICT and its expected influence on the adoption of Cloud computing. Furthermore, it lays emphasis on the developing economies and discusses the low‐cost technologies and infrastructure investments (including government subsidies) required to provide Cloud‐access to the masses.

The purpose of this paper is to analyze the beliefs and attitudinal factors that affect the private sphere pro-environmental behavior of information technology (IT) professionals in using personal computers.

A research framework that draws from the belief-action-outcome (BAO) framework and that consisted of 11 hypotheses was developed. Data were collected from a sample of 322 IT professionals and analyzed using structural equation modeling.

The results identify the pro-environmental personal computing actions that IT professionals are taking and how their Green IT beliefs, attitudes, information acquisition capability, and organizational fields influence their behavior.

The sample was limited to Australian respondents. The measurement of IT-specific environmental practices was not exhaustive nor were the measures of macro- and micro-antecedents of Green IT belief and attitude.

National, regional, and international professional associations such as the Association of Information Systems can influence pro-environmental behavior among IT professionals through the creation and dissemination of information that shape both general and IT-specific environmental beliefs.

The novelty of this work lies in: first, proposing and testing a research framework that can be leveraged in future studies; second, establishing how organizational fields and availability of information contribute to the formation of IT professionals’ environmental beliefs and attitudes; third, applying and suggesting potential extension to the BAO framework to evaluate the association between IT practices and environmental sustainability among IT professionals.

This study provides a reflective overview on the role of traditional and emergent digitalization and information technologies for leveraging environmental supply chain sustainability – while reflecting on potential trade-offs and conflicts of digitalization and greening.

The authors use relevant literature and literature from Industrial Management and Data Systems (IMDS) research published in this journal over the past 50 years. They also use their knowledge and over 30 years of research experience in the field to provide professional scholarly reflections and perspective.

The authors provide a focused and succinct evaluation for research directions. A pressures, practices and performance framework sets the stage for pertinent research questions and theoretical needs to investigate the nexus of digitalization and green supply chain management. The authors provide two frameworks with exemplary practices and research for traditional and emergent digitalization and information technology. Their reflection concludes with a summary and steps forward.

The authors show how research and practice can be used to affect supply chain greening with digitalization and information technology. They observe that care should be taken given that these technologies can paradoxically simultaneously offer solutions to environmental degradation and potentially be a source of environmental degradation across the supply chain.

This work provides a summary and unique perspective that links traditional and emergent digitalization technology to green and environmental sustainability work. The area has not seen a clear summary and path forward and shows how IMDS literature has contributed to the field for decades.

To better understand and assist business managers to deal with green IT adoption, this paper provides a step‐by‐step process management approach.

By drawing on the process management to investigate the green IT adoption, the paper analyzes and discusses four different phases: plan, design, implement, and measure the performance of the process.

The likelihood that companies will successfully adopt green IT initiatives depends on several organizational and environmental factors. The primary factor is the Champion Support. Lack of implementation barriers is another important factor among others.

By comparing behavioral and technological changes derived from green IT initiatives and unveiling possible factors associated with the adoption process, this paper provides an opportunity for academics to conduct applied research based on the issues discussed.

The paper can be an extremely useful and practical source for top‐level managers, particularly IT managers, to bring greener technologies and more environmentally responsible strategies and practices to their organizations.

The paper contends that the green IT adoption process is an ensemble of four phases: plan, design, implement, and measure the performance of the process. This paper serves as a guide and offers practical measures in terms of understanding how green IT initiatives could be more effectively and efficiently adopted by organizations.

This paper aims to evaluate the undergraduate and graduate accounting students’ perceptions of sustainable (or green) information technology (IT) and information system (IS) practices and their contribution to its implementation.

A five-point Likert scale questionnaire was applied to 361 undergraduate and graduate accounting students in Rio de Janeiro (Brazil) in eight higher education institutions (HEIs). Data are analyzed with SPSS.

There is a high perception of importance regarding IT/IS sustainability practices among the accounting students tested, although respondents are not comfortable with predominantly technical IT/IS topics. However, students are divided on the significance of the accountant’s contribution to these practices, confirming that reflection on their future role is still a challenge for them and their HEIs. The female sub-sample attaches significantly greater importance than the male sample to the accountant role in the implementation of green IT practices.

The authors have proposed a novel integrative framework of IT/IS theories related to sustainability and accounting, and how accounting professionals could participate in the “neutral arena” of the education for sustainable development (SD).

Findings could be useful for educators and coordinators of sustainability of IT/IS in accounting courses, stimulating brainstorming on the accountant’s role in assisting organizations in green IT/IS strategies, best practice and implementation.

This study makes an original contribution to the research base of SD in HEIs. The lack of awareness identified in the study could be elaborated to stimulate discussion about the central role of the accountant in SD processes within organizations.