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The purpose of this paper is to design a system deployment model that integrates case-based agent technique to develop an eco-responsibility decision support tool for greening educational institutions toward environmental responsibility.

Data were collected through questionnaires distributed among a statistical population that comprised practitioners across educational institutions in Malaysia that implement green practices. The questionnaire measured the feasibility of the developed tool based on factors derived from the literature. Accordingly, descriptive, exploratory and factor analysis approach using statistical package for social sciences (SPSS) was used to test the feasibility of the developed tool.

Results from descriptive analysis confirm the tool is feasible based on mean values that range from 4.1619 to 3.6508 on a five-point scale, indicating that the tool is effective in sustaining educational institutions going green. Besides, results from exploratory analysis verify the reliability of the tool based on the acceptable Cronbach’s alpha reliability coefficient score higher than 0.7 and Kaiser–Meyer–Olkin value being above 0.5. Finally, results from factor analysis reveal that the developed tool is usable, efficient, helpful, flexible and credible and supports educational institutions in going green at 88.44 per cent of the total variance, suggesting that the respondents are satisfied with the tool.

The sample population in this study comprises only practitioners from educational institutions in Malaysia. Theoretically, this research provides feasibility factors and associated items that can be used in evaluating developed information systems.

Practically, this study develops an eco-responsibility decision support tool to facilitate green strategies and provides information on how practitioners in educational institutions can improve green growth.

This study presents how case-oriented agents aid educational institutions in going green for environmental responsibility. Socially, this research provides the strategies for green practice improvement in educational institutions toward environmental responsibility.

The eco-responsibility decision support tool provides a Web-based platform for promoting ecological protection by supporting the measuring of practitioners’ current green practices for environmental responsibility. Thus, research findings from this study are expected to help decision-makers generate useful insights into environment-friendly strategies to be implemented in educational institutions. Lastly, the statistical tests adopted in this paper can be used to gauge the feasibility of information system application in future.

The purpose of this paper is to develop a collaborative agent-based web architecture and an agent-based green IS assessment tool to aid information technology (IT) practitioners in data centers assess their current green information systems (IS) practice toward attaining sustainability.

The methodology comprises that the collaborative agent-based web architecture, agents’ algorithm and the green IS assessment tool, which is validated by employing focus group questionnaire targeting IT practitioners in seven Malaysian-based enterprises that have an in-house data centers. With 105 valid samples at hand, descriptive analysis and exploratory factor analysis was utilized to determine the applicability of the implemented agent-based green IS assessment tool.

Findings reveal that the agent-based green IS assessment tool possesses the capability to evaluate benchmark and rate enterprise data centers current green IS practice. Additional findings indicate that the agent-based green IS assessment tool provide suggestions on how green IS practice can be improved in enterprise data centers.

This study only collected data from 105 IT practitioners in enterprise data centers based in Malaysia; as such results from this research cannot be generalized to other countries. Moreover, the developed collaborative agents for green IS practice assessment can only be fully deployed after domain experts has added green IS practice assessment questions and alternative answers.

This study presents an autonomous agent-based green IS assessment tool that supports the assessment of enterprise toward inclusion of sustainability considerations to enhance enterprise environmental performance.

This study provides empirical evidence for data centers efficacy leading toward a greener society for environmental conservation for future generations to come.

This study creates awareness by presenting the green IS practice to be implemented by IT practitioners in data centers. In addition, the agent-based green IS assessment tool provides a web-based platform for promoting environmental sustainability by supporting data centers toward evaluating, benchmarking and rating their current green IS practices.

Blended learning (BL) has been increasing in popularity and demand and has developed as a common practice in institutions of higher learning. Therefore, this study develops a model to evaluate the critical predictors that determine students' acceptance and deployment of BL in institutions of higher education based on the theory of planned behavior (TPB).

The empirical analysis entails data collected from 1,811 responses from an online survey questionnaire from students in Malaysian universities, colleges and polytechnics. Partial least square–structural equation modeling (PLS–SEM) was employed for data analysis.

The results reveal that the attitude, subjective norm, perceived behavioral control and self-efficacy were found to influence students' intention to accept BL. Moreover, results suggest that the intention of students to accept BL approach is significantly influenced by actual BL deployment.

Data were collected from students in universities, colleges and polytechnics only. Besides, this research is one of the limited studies that explored BL deployment in a Malaysian perspective.

Findings from this research not only add scientific evidence to BL literature but also provide a better understanding of the predictors that may motivate or discourage learners to deploy BL in institutions of higher learning.

Respectively, findings from this study aid students to acquire and apply knowledge on how to effectively improve BL initiatives in learning activities.

This study is one of the fewer studies that investigate students' behavioral intentions toward BL deployment in Malaysia. Additionally, this study contributes to the understanding of the predictors that influence students' intention to accept and deploy BL in their respective institutions.

The purpose of this study is to identify the key Green information technology (IT) components needed to be considered by government-based institutions and to develop a Green policy framework based on the identified Green IT components to facilitate government-based institutions achieve sustainability.

The Green policy framework and associated propositions are developed to facilitate government-based institutions achieve sustainability. In addition, a case study approach was adopted to verify the proposed framework based on data collected from open-ended interviews and sustainability report documents from two government-based institutions in Malaysia. Furthermore, the collected data were analyzed based on content analysis using descriptive and narrative method to present the findings of Green IT components adopted in the selected case studies.

Findings show that sustainability considerations are increasingly being deliberated in institutions. Moreover, finding from the analyzed data also indicates that there is an increased interest towards implementation of Green IT initiatives for developing, operating and usage by practitioners and staff within government-based institutions.

Findings from this study suggest that the Green policy framework components have implications to support only government-based institutions address environmental, social and economic-related issues.

The developed Green IT components serve as robust indicators or constructs to measure management of Green IT initiatives currently being implemented and thereby provide a framework for sustainability committee members to benchmark their current Green IT practice.

This study provides an agenda to guide government-based institutions achieve sustainability goals. Accordingly, government-based institutions can adopt the framework’s components to evaluate their progress, hence improving their target of attaining sustainability. Besides, this research provides an approach for assessing current practices adopted in government-based institutions against the Green IT components.

The originality of this study is attributed to the fact that this study presents Green IT policy framework to be considered by government-based institutions in achieving sustainability. The framework provides an agenda to simultaneously consider all three dimensions of sustainability the people, planet and profit (social, environment and economic). Moreover, this is one of the first studies to explore Green IT practices in government-based institutions.