Capsule Networks and Innovation Performance in Resource-Based Firms

Literature Review

Recent advancements in artificial neural networks have shown significant potential in simulating human cognitive processes. CapsNets represent a novel approach by using vector outputs to capture the instantiation parameters of objects, thus providing a more robust representation. The integration of ASGDO further enhances the learning process, making it more adaptive and efficient.

In today's rapidly evolving digital world, wealthy Chinese business enterprises face increasing pressures to address initial resource challenges while also responding to global issues such as environmental sustainability and economic efficiency. The integration of modern technologies at every level of business operations is crucial for enhancing workplace productivity and efficiency. Digital transformation provides a powerful means to achieve overall sustainable development, improve resource efficiency, and boost the innovation performance of these enterprises (Pawan & Rajan, 2022; Doerig et al., 2020; Hinton, 2023; Han et al., 2023).