Purpose Cloud computing is one of the technologies that improves performance and reduces costs in companies through flexible and easy access to computational resources. Supply chain management is one of the widespread and unlimited computing resources. Applying cloud computing to the green supply chain will eliminate constraints and speed up the implementation of various chain processes. Therefore, this paper aims to present a model and framework for assessing the impact of cloud computing on green supply chain management, which improves the performance of the resulting system in comparison with previous systems. Design/methodology/approach In this study, a self-made questionnaire containing 38 questions was used to collect data. The questions were compiled based on the variables identified in previous studies. Besides, the answers to the questions were based on the five-point Likert scale (strongly disagree, disagree, no opinion, agree and strongly agree). By reviewing the subject literature, the factors that affect the green supply chain management have been identified, which include cost of services, user-friendly software, energy consumption, subscription and collaboration capabilities and self-service ability. Findings The findings confirmed the fitness of the proposed model and showed the impact of cloud computing on green supply chain management. In addition, results showed that considered variables (service cost, user-friendly applications, energy consumption, sharing and collaboration and self-service) significantly affect the success management of green supply chain. Practical implications The results of this research show that, to help effective management of the complexity of the supply chain, many companies have adopted an advanced IT strategy to increase the flow of information and, in turn, to increase their competitive advantage. Originality/value The development of a cloud computing-based green supply chain management system can lead to improved system performance compared to traditional systems, which can revolutionize a wide range of industries and businesses by clarification of businesses and making the processes smart. It can also reduce costs and improve performance of micro- and macro-business firms. Therefore, the purpose of this study is to provide a model for investigating the impact of cloud-based IT systems on green supply chain management.

Purpose By using some tools such as business intelligence (BI) and exploring data stored in data warehousing systems, it is possible to increase export competition efficiency. Efficiency in the export competition is affected by several factors. Therefore, this paper has attempted to provide a new conceptual framework for assessing the impact of new information technology (IT)-based systems, public policies and BI on the efficiency of export competitiveness. Design/methodology/approach Increasing exports and its high efficiency depend on each country’s IT. So, IT is the main tool to increase the production process, improve quality and reduce products’ cost. In addition, each country develops policies for business activities and commerce to increase productivity in export competition. Clarifying public policies and strategies critical to the development of export competition is important in this field. Therefore, this paper has tried to provide a new conceptual framework for examining the impact of new IT-based systems, public policies and BI on the effectiveness of export competition. The research method of this study is based on structural equation modeling. This method has been used to evaluate the causal model, assess the reliability and check the measurement model’s validity. Model and data were analyzed using SPSS 22 and SmartPLS software. Findings The results showed that the impact of new IT-based systems, public policies and BI on export competitiveness efficiency has been positive. Research limitations/implications To generalize this study’s results and have a more accurate external validity, it is necessary to conduct this research program over a more extended time and space. Also, larger and more comprehensive samples should be taken for further validation. The authors also suggest that other factors can be considered. Practical implications The framework is conceptually innovative in modeling the efficiency of export competitiveness and assessing implications. Export competitiveness is a crucial factor in long-term global farm business survival, as it fosters opportunities for business prosperity on global markets. Originality/value The research offers important hints for emerging markets to find their ways to maintain a sustainable competitive advantage in the export market by controlling the country-level factors. This research will be helpful to both policymakers and global managers.