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Building information modelling (BIM) has transformed the traditional practices of the Architecture, Engineering and Construction (AEC) industry. BIM creates a collaborative digital representation of built environment data. Competitive advantage can be achieved with collaborative project delivery and rich information modelling. Despite the abundant benefits, BIM’s adoption in the AEC is susceptible to confrontation. A substantial impediment to BIM adoption often cited is data interoperability. Other facets of interoperability got limited attention. Other academic areas, including information systems, discuss the interoperability construct ahead of data interoperability. These interoperability factors have yet to be surveyed in the AEC industry. This study aims to investigate the effect of interoperability factors on BIM adoption and develop a comprehensive BIM adoption model.

The theoretical foundations of the proposed model are based on the European interoperability framework (EIF) and technology, organization, environment framework (TOE). Quantitative data collection from construction firms is gathered. The model has been thoroughly examined and validated using partial least squares structural equation modelling in SmartPLS software.

The study’s findings indicate that relative advantage, top management support, government support, organizational readiness and regulation support are determinants of BIM adoption. Financial constraints, complexity, lack of technical interoperability, semantic interoperability, organizational interoperability and uncertainty are barriers to BIM adoption. However, compatibility, competitive pressure and legal interoperability do not affect BIM adoption.

Finally, this study provides recommendations containing the essential technological, organizational, environmental and interoperability factors that AEC stakeholders can address to enhance BIM adoption.

To the best of the authors’ knowledge, this paper is one of the first studies to combine TOE and EIF in a single research model. This research provides empirical evidence for using the proposed model as a guide to promoting BIM adoption. As a result, the highlighted determinants can assist organizations in developing and executing successful policies that support BIM adoption in the AEC industry.

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.