Impact of Artificial Intelligence Adoption on Supply Chain Performance Through Marketing Innovation: The Mediating Role of Organisational Agility and the Moderating Role of Technological Readiness
2026· Journal of Supply Chain Management Systems· 0 citations
TL;DR
The research shows that AI implementation has the potential to positively impact supply chain performance, directly and indirectly, through marketing innovation and organisational agility, and technological preparation reinforces the connection between marketing innovation and performance.
Abstract
The research question is to understand how the adoption of Artificial Intelligence (AI) affects the supply chain performance, with the focus on the mediating effects of marketing innovation and organisational agility, and the moderating effects of technological readiness. It aims to determine the benefits of AI-led digital transformation for the efficiency, flexibility, and competitiveness of operations in the Indian context. A quantitative and explanatory research design was used. A structured questionnaire was used to gather data from 368 professionals who were employed in the manufacturing, logistics, and retail industries in India. Validated multi-item scales were used to measure constructs, and Structural Equation Modelling (SEM) was used to analyse the constructs. The soundness of the proposed model was confirmed using reliability, validity, and model fit indices. The research shows that AI implementation has the potential to positively impact supply chain performance, directly and indirectly, through marketing innovation and organisational agility. Technological preparation reinforces the connection between marketing innovation and performance, and, according to this, companies with strong digital infrastructure and capabilities have greater advantages in AI-driven strategies. The managers must focus on building marketing innovativeness and responsiveness, coupled with sound technological preparedness. By aligning AI efforts with strategic and operational goals, one can respond faster, improve customer satisfaction, and become more competitive. The present paper is interdisciplinary and combines marketing, innovation, and supply-chain perspectives to propose and empirically support a comprehensive model explaining how the adoption of AI can lead to performance. It adds to the literature on AI-based digital transformation in the emerging economies.
This study investigates how AI adoption enhances organizational innovation capability and, in turn, improves economic, environmental, and social dimensions of business performance, and links digital transformation with sustainability outcomes.
S. P, S. M, S. P et al.· International Journal for Re...· 0 citations
The findings suggest that digital transformation contributes to innovation performance not only through technological efficiency but also through enhanced organizational learning and knowledge utilization capabilities.
S. Jang· Human Resources Management a...· 0 citations
This study aims at exploring the mediating role of digitalization and innovation orientation in examining the impact of Supply Chain Flexibility dimensions on Customer Responsiveness. The study adopts the existing concept of flexibility in the supply chain, and adds the construct of digitalization to the model and real...
Muhammad Saifurrahman, Hammad Zafar, Syeda Sabahat· Journal of Global Social Tra...· 0 citations
The purpose of this study was to examine the influence of green supply chain management on organizational sustainability, where technology innovation and environmental performance are taken as mediating factors. The focus of this study was on the increasing need for better protection of the environment and the increasi...
Mohamed Alakrod, Sami Mohammad· Sustainability· 0 citations
It is asserted that policymakers and SME managers need to prioritise training, infrastructure and digital readiness to ease the path for AI adoption and the literature affirms that AI adoption increases the marketing performance of SMEs.
Salma El-Gohary, M. B. Ben Mimoun, Hatem El-Gohary· Journal of Cultural Analysis...· 0 citations
The results indicate that perceived ease of use and competitive pressure are significant positive predictors, yet perceived cost and security concerns are significant negative predictors, and a positive relationship between the owner’s level of education and adoption is marginally significant.
Khuram Shahzad· Revista Academicus: Revista...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.