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A promising solution to meet the challenge of sustainability and ensure the protection of the environment consists in acting considerably on the adoption and use of new information and communication technologies. The latter can act on the protection of the environment; completely change manufacturing processes into energy-efficient, eco-friendly techniques or influence institutions and governance. The article attempts to cover shortcomings in the literature by providing a couple of theoretical frameworks and grounded empirical proofs for the dissemination of green technologies and the interaction of the latter with institutional quality.

The sample is made up of 43 African countries covering the period 2000–2020 and a panel VAR modeling approach is employed.

Our results show that an attenuation of CO2 emissions amplifies the diffusion of digital technologies (mobile telephones and Internet). Efficiency in the institutional quality of African countries is mandatory for environmental preservation. Moreover, the provision of a favorable institutional framework in favor of renewable energy helps to stimulate environmental performance in African states.

This study complements the extant literature by assessing nexuses between green technology and CO2 emissions in environmental sustainability.

The main objective of this paper is to examine how short- and long-term dynamics can be promoted through economic growth policies, financial inclusion initiatives, institutions and ICT infrastructure development. The study focuses on West African Economic and Monetary Union (WAEMU) member countries over for the period 2000–2020 and the empirical evidence is based on the autoregressive distributed lag (ARDL) method. Our empirical results show that the synthetic index variables of financial inclusion, ICT infrastructure development and individual or composite governance institutions indicators are positively and significantly interrelated in both the short and long runs. A dynamic combination of variables is essential for WAEMU countries to achieve long-term economic development. Policy implications are discussed.

Consistent with our goal of testing the dynamics of financial inclusion, governance and ICT on economic growth, we will estimate our equations using the ARDL panel method. ARDL models or autoregressive models with staggered or distributed delays are dynamic models. The particularity of these models is that they take into account temporal dynamics (i.e. expectations, adjustment delays and inter alia), so we adopted a lagged autoregressive model (ARDL). The popularity of the ARDL approach also stems from the fact that the cointegration of nonstationary variables is equivalent to an error correction (EC) process.

The empirical results simultaneously depict strong endogenous associations between these variables in the short and long run. The short-run analysis indicates that economic growth, financial inclusion, institutional quality and ICT infrastructure development are strongly interdependent. These union states, in their economic growth policies, encourage the financial inclusion (access and penetration of bank branches) of disadvantaged communities. However, efficient institutional policies reinforce this sustainable growth. The efficient use of telecommunications infrastructure requires the regulation of informal employment in WAEMU countries for the better deployment of efficient, secure and cost-effective digital financial payment systems (fintech).

The findings in this study evidently leave space for future research, especially as it concerns considering how composite governance can be employed as a moderating indicator for financial inclusion. In conclusion, there is an interdependence between financial inclusion, ICT, institutions and economic growth. An effective combination of these elements can create an ecosystem conducive to economic development by promoting access to financial services, harnessing the benefits of ICT and building robust institutions. However, challenges can also arise, such as the need for appropriate regulations and security guarantees for electronic transactions.

Governments should strengthen financial inclusion and promote policies aimed at improving access to financial services, such as microcredits, mobile banking and initiatives for the unbanked. Financial education is crucial for enhancing financial inclusion. Educational programs that teach citizens how to use financial services can increase participation and stimulate economic growth. Moreover, policies should focus on improving digital infrastructure, such as broadband networks and data centers, to facilitate access to the internet and other technologies and to promote innovation and startups. Governments should strive to create a balanced regulatory framework that encourages investment and innovation while avoiding excessive regulation that could hinder growth. Implementing targeted regulatory reforms to improve efficiency and transparency can enhance investor confidence and support a more dynamic economic environment.

This work constitutes a considerable contribution to the literature on finance, institutions and growth in WAEMU countries and in terms of methodology. The findings in this study evidently leave space for future research, especially as it concerns considering how composite governance can be employed as a moderating indicator for financial inclusion. In conclusion, there is an interdependence between financial inclusion, ICT, institutions and economic growth. An effective combination of these elements can create an ecosystem conducive to economic development by promoting access to financial services, harnessing the benefits of ICT and building robust institutions.

In India, artificial intelligence (AI) application in supply chain management (SCM) is still in a stage of infancy. Therefore, this article aims to study the factors affecting artificial intelligence adoption and validate AI’s influence on supply chain risk mitigation (SCRM).

This study explores the effect of factors based on the technology, organization and environment (TOE) framework and three other factors, including supply chain integration (SCI), information sharing (IS) and process factors (PF) on AI adoption. Data for the survey were collected from 297 respondents from Indian agro-industries, and structural equation modeling (SEM) was used for testing the proposed hypotheses.

This study’s findings show that process factors, information sharing, and supply chain integration (SCI) play an essential role in influencing AI adoption, and AI positively influences SCRM. The technological, organizational and environmental factors have a nonsignificant negative relation with artificial intelligence.

This study provides an insight to researchers, academicians, policymakers, innovative project handlers, technology service providers, and managers to better understand the role of AI adoption and the importance of AI in mitigating supply chain risks caused by disruptions like the COVID-19 pandemic.