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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.

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.

Greenhouse effects and the need for cost savings necessitate that an organization's information technology (IT) managers design IT equipment acquisition and service provisioning policies to reduce carbon footprint and cost. Analyzing the influencing factors that influence stakeholders' attitudes toward adopting green information technology (Green-IT) is an important input in designing these policies. In essence, the research aims to investigate into the relationship between these factors and how they influence policy-makers' behavior in Nigerian manufacturing industries.

The study develops a model based on the norm activation model (NAM) and the theory of planned behavior (TBP) to investigate the factors that influence decision-makers' intention in adopting Green-IT. A quantitative approach using a survey method is carried out to gather opinions of IT decision-makers using a random sampling technique. Partial least squares structural equation modeling (PLS-SEM) technique is applied to test the structural model and measurement model.

The study's findings support the use of the behavior model for Green-IT adoption. The study's finding indicates that subjective norms, perceived behavior control (PBC), manager's attitude, personal norm (PN), awareness of adverse consequences and the ascription of responsibility (AR) positively influence intention to adopt Green-IT.

The development and validation of the model are the study's theoretical contributions. The study reviewed the existing literature on the utilization of Green-IT to better understand the intention to adopt Green-IT in Nigeria. It added to the literature by identifying factors that can influence it as well as theoretical underpinnings that can fit the intentions of decision-makers. The scientific community and the industrial companies would have the chance to investigate how this integrated behavioral intention model promotes the use of Green-IT. The research predictors explained about 70.20% of the variance in the behavioral intention to adopt Green-IT.

Research offers practical implications and recommendations for top management practitioners of the manufacturing industries. Business leaders can use the results of this study to develop an effective strategic IT policy for the successful adoption of Green-IT practices for enhanced productivity. The study found that decision-makers' Green-IT attitudes had a substantial impact on their behavioral intention to adopt Green-IT. The study highlighted the importance of the top management attitude toward green products to facilitate the adoption of Green-IT practices in manufacturing industries in Nigeria. Thus, the positive and significant attitude of policy-makers is a necessary tool toward the successful adoption of Green-IT. Therefore, to foster an environmentally sustainability friendly atmosphere, Nigeria's manufacturing industries shall strive to strengthen the decision-makers' attitude toward practicing Green-IT in their respective domains. The findings showed that AR, AQ, environmental concern (EC), perceived behavior and perceived behavior are critical factors to be considered in an organization.

According to the findings, an individual's Green-IT attitude has a substantial impact on the environment as social behavior. As a result, the positive and essential attitude of the social sector is a key tool for efficient Green-IT implementation. Nigeria's social activists must try to create awareness campaigns to boost decision-makers' attitudes toward implementing Green-IT in their various regions to develop a friendlier environment. Thus, the identified factors can be of great help to the social sector in designing and implementing successful environmental-friendly policies that could support the adoption of Green-IT practices.

The current research look at Green-IT adoption in manufacturing industries of West African countries. The study offers practical implications and recommendations for top management practitioners of the manufacturing industries, government policy-makers and organizations to enhance the use of Green-IT for mitigating environmental degradation. Recommendations for future research are stated as concluding remarks.

The purpose of this study is to propose Green Banking best practices for the adoption of this business construct based on the dimensions of environment, social and governance (ESG). This paper proposes a number of green practices under the ESG dimensions that can be adopted by individual banks at any stage of Green Banking adoption. It provides tactics for implementing this business construct that can serve as a tool for regulatory authorities forming Green Banking guidelines or policies for adoption. Such research has not been undertaken up until now.

The Green Banking adoption model is based on the concept of human ecology in which the inter-dependency and inter-connectivity of the variables impacting the phenomenon of environmental sustainability. These influencing variables are, in turn, connected with the natural environment. In the proposed model, the variables of ESG are inter-connected and impacting the natural environment as well. The proposed best practices have been derived from the Green Banking practices of the global industry leaders and Green Banking regulations of developed and developing countries. It can be beneficial to the stakeholders, as it proposes a step-by-step guide to Green Banking adoption that can be followed either sequentially or in parallel by the banks.

Green Banking adoption can be achieved by banks through implementing certain practices in either sequential or parallel manner. The adoption process depends on the various external and internal environmental dependencies. The Green Banking adoption practices can be broken down in three areas, i.e. ESG, allowing the construct optimal depth of coverage and complexity.

The literature on Green Banking is steadily increasing but a lack of research exists in the area of Green Banking adoption. Currently, limited literature exists that can provide the banking industry or the regulatory authorities with a framework or guideline to adopt Green Banking.

This paper aims to investigate the current value chain activities grounded on Porter’s value chain theory and to examine the drivers of strategic environmentalism that influence sustainable value chain adoption. This study further constructs a prescriptive model to reveal the extent to which information communication technology (ICT)-based industries are adopting sustainable value chain practices.

Data were collected using questionnaire from selected ISO 14000/14001-certified ICT-based firms in Malaysia and analyzed using partial least square-structural equation modeling.

Results reveal that the primary activities positively influence sustainable value chain. Moreover, results indicate that support activities significantly influence sustainable value chain adoption in ICT-based firms. Results further show that strategic environmentalism drivers have an impact on sustainable value chain adoption.

Data were collected from ICT-based industries in Malaysia only. Additionally, this research extends the body of knowledge and offers theoretical implications for ICT-based industries in Malaysia and other emerging economies in adopting sustainable value chain activities.

Practically, this study assists ICT-based industries to change their current paradigm from the traditional operations to a more holistic approach toward supporting practitioners to simultaneously achieve social responsibility, environmental and economic growth.

This study offers social implications for ICT-based industries to implement cleaner operations by decreasing CO₂ emission, lessening energy usage, diminishing cost incurred and minimizing usage of natural resources, thereby increasing product recovery and recycle-ability of IT hardware.

This study is one of the first to address the issue related to sustainable value chain in ICT-based industry by providing a roadmap on how practitioners can implement sustainable initiatives or more significantly, how to infuse these initiatives in their current chain, while concurrently enhancing competitiveness. Furthermore, this paper examines the current activities implemented by practitioners toward sustainable value chain adoption and explores the correlation of the drivers of strategic environmentalism with regard to sustainable value chain.

The effect of global warming on our environment has shifted the focus to green technologies worldwide. Subsequently, multiple research studies have attempted to assess awareness around the concept of “Green IT” in different countries. This paper aims to examine the factors that affect the intention to use green information technology (IT) (INT) and their subsequent influence on the actual use of green IT (ACT) among students in the context of a developing country.

The data were collected using survey questionnaires administered to six public university students. A total of 633 valid questionnaires were received and analyzed using structural equation modeling.

A positive relationship of INT with attitude toward green IT, subjective norms toward green IT, perceived behavioral control toward green IT, consideration of future consequences and openness was found, and also, a positive relationship between INT and ACT was found.

Many of prior research focused on factors influencing green IT adoption and usage from the organizational point of view, and there is not much literature dedicated to the study of IT users’ belief and behavior about green IT. Moreover, most studies tend to focus on developed nations, while a lesser number of studies gave consideration to developing nations. This study proposes a research framework that incorporated two personality trait factors to the theory of planned behavior to investigate individual factors influencing INT among students in the context of a developing country.

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.

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.

An important global issue is the harm that businesses are posing to the environment. However, the impact of small and medium enterprises’ (SMEs) operations on the environment often goes unnoticed, and their willingness to adopt green innovations is limited. Therefore, this study aims to examine the factors influencing the adoption of green innovation among SMEs in Indonesia.

The research used a survey to investigate SMEs operating in the pineapple-based food sector, which is a leading commodity in Riau Province, Sumatera, Indonesia. Specifically, the research focused on the districts of Kampar, Siak and Dumai, with data collecting taking place from April to August 2022. SMEs were selected purposively based on a minimum operational tenure of 10 years. A total of 225 respondents met the selection criteria and participated in this study. The research data were collected through a questionnaire. To analyse the data, the study used structured equation modelling with partial least squares.

There are three categories of factors influencing SMEs to adopt green innovations: technological, environmental and organizational. Of these factors, organizational factors emerge as the primary determinant of green innovation adoption among SMEs in the country.

The generalizability of the findings in this study is limited due to the specific focus on food sector SMEs in Riau Province. To obtain more generalized results, it is recommended that future research be conducted on SMEs across different sectors in other cities and countries.

This study provides a deeper understanding of the specific dimensions of organizational factors that play a crucial role in driving green innovation adoption, especially within the context of SMEs in the food sector in Indonesia.

The purpose of this study is to empirically examine the determinants and outcomes of Green Banking adoption and the moderating influence of top management commitment under the corporate environmental ethics ideology. External stakeholder pressures are analyzed as determinants of Green Banking adoption. Brand image and operational efficiency are examined as outcomes of this business ideology. Green Banking adoption is adapted as a second-order construct with four first-order reflective constructs to ensure in-depth conceptualization of the construct.

Green Banking adoption is studied at the bank branch level in a developing country, i.e. Pakistan. The data is collected from the branch managers of 212 bank branches from five major cities of Pakistan through mails. Self-administered survey was used for the data collection. The data was analyzed through the application of partial least square-structured equation modeling in SMART PLS 3.2.9. The measurement model and the structural model of the research framework were analyzed through the two-stage approach of the second-order analysis.

The results indicate a positive relationship between customer and competitor pressure and Green Banking adoption among bank branches in Pakistan depicting an influence of various environmental ethical pressures on bank’s adoption practices. Community pressure was shown to have no significant influence on Green Banking adoption at the branch level. The moderator of top management commitment caused a positive influence on the relationship between all the studied stakeholder pressures and Green Banking adoption. Branch managers reported branch image and operational efficiency to be enhanced due to Green Banking adoption.

This study attempts to fill in the significant gap in Green Banking adoption literature through an empirical analysis of Green Banking’s second-order construct. Currently, limited literature exists on the various aspects of Green Banking adoption, and an empirical study has not been conducted at the bank branch level. The study contributes significant practical, theoretical and methodological contributions to the area of Green Banking.