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This paper aims to theorize and assess a structural model that depicts the impact of an organization's capability to share information with supply chain partners through a focused green information system for the purpose of improving environmental performance.

Data were collected from 159 manufacturing managers and analyzed using a structural equation modeling methodology.

The general capability to share information with supply chain partners coupled with the specific capabilities of green information systems enhances environmental performance. Green information systems serve as a partial mediator to the relationship between supply chain information sharing and environmental performance.

While environmental sustainability has implications for all categories of supply chain partners, the study sample focuses on the manufacturing sector only.

Evidence supports the need for manufacturers to develop information sharing and green information system capabilities to improve environmental performance.

This is one of the first studies to empirically assess the role of information systems in achieving environmental sustainability. The results of this investigation support the proposition that information sharing among supply chain partners is a key to achieving environmental sustainability.

The aim is to contribute significantly to the first wave of empirical investigations related to the impact of green supply chain management (GSCM) practices on performance. The paper also aims to theorize and empirically assess a comprehensive GSCM practices and performance model. The model incorporates green supply chain practices that link manufacturers with supply chain partners (both suppliers and customers) to support environmental sustainability throughout the supply chain.

Data collected from 159 manufacturing managers were analyzed using a structural equation modeling methodology. Manufacturing managers provide data reflecting the degree to which their organizations work with suppliers and customers to improve environmental sustainability of the supply chain.

Generally, the adoption of GSCM practices by manufacturing organizations leads to improved environmental performance and economic performance, which, in turn, positively impact operational performance. Operational performance enhances organizational performance.

As a first wave empirical investigation of the impact of GSCM practices on performance, the study is by necessity exploratory.

Practitioners are provided with a framework for assessing the synergistic impact of GSCM practices on performance. Internal environmental management and green information systems are identified as necessary precursors to the implementation of green purchasing, cooperation with customers, eco‐design, and investment recovery.

A comprehensive GSCM practices performance model is proposed and empirically assessed. The results of this investigation support the proposition that GSCM practices are both environmentally necessary and good business. A structured two‐wave approach to the implementation of GSCM practices is recommended.

This study provide an in-depth review on the knowledge structure of green information technology (GIT) adoption and behavior. Environmental degradation has escalated even further with information and digital technology development. Researchers have come up with a new concept of GIT to dampen the carbon emission due to the excessive use of IT in today’s everyday usage. A similar terminology, green information system (GIS), is a rather broad understanding of GIT, which relates to the environmental management system to improve operations in the organization and will be included in the scope of the study.

This study presents a science mapping analysis through a bibliometric review to explore emerging trends and predict future trends based on 293 publications in the Web of Science.

The bibliographic coupling analysis discovered five themes related to the theoretical foundation of GIT and the determinants of their adoption. The five themes are (1) theoretical foundation in GIT, (2) determinants of green IT and IS adoption, (3) fundamental of GIT and information science, (4) green technologies and green computing and (5) determinants of managers green IT adoption behavior. While co-word analysis presents the impact of GIT, driving performance and energy efficiency through the adoption of GIT producing four themes, (1) GIT acceptance through the theory of planned behavior, (2) impact of GIT’s: strategies for sustainable implementation, (3) driving sustainable performance through green innovation in information systems and technology and (4) energy efficiency and sustainability in green computing and cloud computing.

The finding is relevant to managers, researchers and stakeholders bounded by environmental responsibilities to mitigate its impact on the socioeconomic and environment through GIT adoption.

The contribution of this study is presenting an in-depth analysis of the knowledge structure through bibliometric analysis by providing network visualization on one of the crucial pro-environmental behavior.

This study aims to quantify the associations among employees’ perception of implementing green supply chain management (i.e. through seven variables, namely, internal environmental management, green information systems, green purchasing, tourist perceptions, environmentally friendly activity, employee emotional behavior and environmental legislation) with hotel’s economic and operational performance.

A survey instrument is used to examine the relationships in the proposed model by using the structural equation modeling (SEM) technique. An analysis of the primary data (n = 150) collected from employees in Aqaba hotels located in Jordan is conducted to test the relationship between exogenous and endogenous constructs expressed in the proposed structural model.

The findings revealed that while green information systems, employee emotional behavior and environmental legislation affected hotels’ economic performance, internal environmental management, green purchasing, tourist perceptions and environment-friendly activity did not. Also, hotels’ economic performance positively impacted hotels’ operational performance. However, as the coefficient of determination (R²) for the endogenous research variables for economic performance and operational performance was 0.16 and 0.17, respectively, the relationships between the exogenous and endogenous constructs were not supported.

This study will contribute towards a better understanding of employee perceptions of implementing green supply chain management and hotel performance in Aqaba City.

This is the first study that adequately covers the associations among employee perception of implementing green supply chain management on hotel’s economic and operational performance in the Middle East.

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.

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.

When confronted with a problem where the solution is not clear or obvious, a first step would be to search for more information, trying to make sense of the problem. The intention of this contribution is to make sense of the call for “libraries to go green”, while at the same time to show the potential of explicitly considering information behaviour and the need to draw on the full spectrum of information literacy skills (e.g. recognising and expressing an information need, seeking, using, and disseminating information) to stimulate librarians' interest and confidence in taking on the challenge of going green and making a difference.

The column will be written against the background of research from information literacy, information behaviour, and research on sustainable and environmental friendly library and information (LIS) services.

Although rather a limited number, publications on “going green” and the “paperless” library/society address a variety of issues ranging from planning “green” library buildings, to assessing the experiences of LIS professionals in developing sustainable “green libraries”, to information behaviour in using e‐books in academic contexts. Considering the finding and use of information on “going green”, from an information behaviour perspective, helps to bring many issues to consider in furthering research on “going green” to the front.

Although much has been published about information behaviour and information literacy, and although attempts of publishing on various issues of “green” libraries are noted, the author is not aware of other work aligning these issues.

The purpose of this paper is to develop an eccentric model to examine the factors that influence environmental performance in organizations based on belief–action–outcome framework and natural resource-based view theory.

Data were collected by employing online survey from respondents in organizations to statistically test the eccentric model and its associated hypotheses. Partial least squares–structural equation modeling and Statistical Package for Social Sciences were utilized to analyze the survey data.

The results show that information technology (IT) professionals and IT executives’ behavior positively influences environmental performance. Further results suggest that the belief of IT professionals and IT executives is significantly influenced by the action of IT infrastructure, institutional pressure, organizational strategy and information diffusion. In addition, results reveal that the action of IT infrastructure, institutional pressure, organizational strategy and information diffusion in organizations significantly has an impact on the outcome of environmental performance. Moreover, results indicate that green information systems (IS) for pollution prevention, product stewardship and clean development initiatives adopted positively influence the environmental performance of organizations.

The developed eccentric model further shows how green IS practice integration can improve environmental performance. However, the selected respondents are from a single country as such findings from this study cannot be generalized to other countries.

Practically, this paper has implications for the capability of IS to promote environmental performance in organizations.

This study provides a pertinent contribution in developing and validating an eccentric model for green IS adoption. Besides, a survey instrument is developed that can be used by future studies.

The developed model helps to explore the factors that influence environmental performance and also the outcomes of green IS adoption for environmental performance. Accordingly, IT professionals and IT executives can draw upon the eccentric model in assessing their current environmental-friendly practice for the effective initialization of green IS for corporate value.

The purpose of this paper is to contribute significantly to the first wave of empirical investigations related to the impact of green supply chain management practices on environmental and organizational performance from a manufacturer's perspective within a supply chain context.

An environmental collaboration and monitoring performance model is theorized and assessed following a structural equation methodology. Data were collected from 159 manufacturing managers through an on‐line survey.

Environmental collaboration and monitoring practices among supply chain partners are found to lead to improved environmental performance and organizational performance.

As a first wave investigation of the impact of green supply chain management practices on performance, the study is somewhat exploratory.

Practitioners are provided with a framework for assessing the impact of environmental collaboration and monitoring practices among supply chain partners on environmental performance and organizational performance. The study provides evidence that green supply chain practices lead to improved environmental and organizational performance.

The results also have important societal implications. While green supply chain management practices enhance the economic sustainability of the firm, they also positively impact society through improvements to the overall environment.

The results of this investigation support the proposition that implementation of environmental collaboration and monitoring practices by supply chain partners are both environmentally necessary and good business. The paper provides manufacturing managers with a structured approach to improving both environmental and organizational performance through environmental collaboration and monitoring with customers and suppliers.

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.