...Hongcheng Duan; Shakila Kousar; Adnan Abbas; Bazarova Fayyoza Tukhtamurodovna Purpose Although Chinese manufacturing firms are increasing investments in artificial intelligence (AI), evidence remains limited on how the intensity of AI use creates sustainable competitiveness. Drawing...

..., translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY 4.0 licence. Artificial intelligence Generative...

...Yuan Ma; Li-Hui Niu; Zhen Zhang Purpose Grounded in Resource Orchestration Theory and Upper Echelons Theory, this study aims to explore how artificial intelligence (AI) applications drive green transformation and reveal its underlying mechanisms. Design/methodology/approach We propose...

...Djonathan Luiz de Oliveira Quadras; Romeo Bandinelli; Virginia Fani Purpose This study investigates how fashion companies adopt Artificial Intelligence (AI) across their forward supply chain processes, and which factors influence this adoption. Design/methodology/approach A Grounded Theory...

...Jianhua Zhu; Qi Zheng Purpose This paper aims to discuss how to improve supply chain resilience (SCR) in supply chain management, especially how to respond to emergency events and a complicated environment, by analyzing the impact mechanism of artificial intelligence (AI) on the resilience...

...Xiaokai Li; Lingli Qing; Haohao Wei; Juntao Wei Purpose Artificial intelligence (AI) leverages vast datasets, continuously evolving algorithms and powerful computational capabilities to influence firms' innovation ambidexterity. However, few studies have examined the intrinsic mechanisms through...

...Taiye Luo; Huimin Tang; Jiaming Zhang Purpose Artificial intelligence (AI) plays a crucial role in the innovation of manufacturing firms. This research aims to investigate the impact mechanisms of manufacturing firms’ innovation quality in the context of AI. Design/methodology/approach Based...

...Zhengwei Li; Qiaoli Li; Xin Zhao Purpose Artificial intelligence (AI) has brought unprecedented challenges to enterprises. AI is a double-edged sword. The combination of uncontrollable-based threat perception and benefit-based opportunity perception influences the way enterprises respond to AI...

...Barış Armutcu; Muhammad Ussama Majeed; Zahid Hussain; Sumaira Aslam Purpose Advanced technologies such as artificial intelligence (AI) and Quality 4.0 (Q4.0) are crucial for the survival of today’s industrial enterprises. In this context, this study reveals the impact of digital voice...

... creative climate and enhanced artificial intelligence information quality in fostering the successful adoption of CEP, offering strategies to improve collaboration and innovation in green practices. Design/methodology/approach This research employed a quantitative method by using a survey to gather...

...Xiaochen Yue; Mary Kang; Yanming Zhang Purpose Manufacturing firms must strengthen their supply chain resilience to survive in turbulent business environments. This study explores how artificial intelligence (AI) can be leveraged to enhance supply chain resilience. Design/methodology/approach...

... of TMC of firms such as artificial intelligence capability (AIC), big data analytics capability (BDAC) and Internet of things capability (IOTC) in reshaping green innovation (RGI), employee development (ED), GP and GCA. Design/methodology/approach The Partial Least Squares-Structural Equation...

...Gulnaz Shahzadi; Fu Jia; Lujie Chen; Albert John Purpose This systematic literature review (SLR) aims to critically analyze the current academic research on the adoption of artificial intelligence (AI) in supply chain management (SCM) and develop a theoretical framework and future research agenda...

...Aamir Rashid; Rizwana Rasheed; Abdul Hafaz Ngah; Noor Aina Amirah Purpose Recent disruptions have sparked concern about building a resilient and sustainable manufacturing supply chain. While artificial intelligence (AI) strengthens resilience, research is needed to understand how cloud adoption...

... throughout the organization. © Emerald Publishing Limited 2024 Emerald Publishing Limited Licensed re-use rights only Predictive maintenance Data analytics Manufacturing Process industries Industry 4.0 Artificial intelligence Automation Technology management The manufacturing...

..., which was impossible before. This paper explores two things. Firstly, how embracing contractual flexibility of price-variance and contract lengths influences customer perceived value in artificial intelligence (AI) enabled digital offerings. Secondly, the role transparency plays in the perceived value...

...–machine interaction is often an emotional social issue of concern in terms of the replacement of human intelligence with machine intelligence. It should be asked whether humans will or should remain in control of innovation? Artificial intelligence (AI) may complement and even substitute human...

... support to improve product portfolio identification by efficient knowledge discovery from past sales and product records. Operations management Artificial intelligence The rate of publications on using AI to aid design has grown from around 50 papers per year in our previous survey to over...

... implications The BPANN model is an innovative approach fundamentally based on artificial intelligence, which is not directly visible to the user, but is able to solve through a simpler and supervised feedforward back‐propagation training process. The model consists of an input layer, a hidden layer...

.../approach The KBSAS incorporates various artificial intelligence technologies such as case‐based reasoning which is used for achieving four perspectives of knowledge acquisition, service logistics, service automation and performance measurement, respectively. Findings A prototype customer service...