Knowledge Phenomenology Research of Future Industrial Iconic Product Innovation

TL;DR

This paper develops a knowledge phenomenology framework for iconic product innovation, integrating explicit and tacit knowledge, to guide future industrial design and technological forecasting.

Contribution

It introduces a novel knowledge phenomenology approach to understanding and guiding iconic product innovation, combining systems science and FBS design theory.

Findings

Iconic products rely on integrated explicit and tacit knowledge systems.

A new forward-looking design framework for iconic products is established.

A disruptive technology forecasting framework is proposed for future innovation.

Abstract

Iconic products, as innovative carriers supporting the development of future industries, are key breakthrough points for driving the transformation of new quality productive forces. This article is grounded in the philosophy of technology and examines the evolution of human civilization to accurately identify the patterns of product innovation. By integrating theories from systems science, it analyzes the intrinsic logical differences between traditional products and iconic products. The study finds that iconic products are based on a comprehensive knowledge system that integrates explicit and tacit knowledge, enabling them to adapt to complex dynamic environments. Therefore, based on the method of phenomenological essence reduction and the process of specialized knowledge acquisition, this study establishes the first principle of knowledge phenomenology: "knowledge generation-moving from the tacit to the explicit-moving from the explicit to the tacit-fusion of the explicit and tacit." Grounded in knowledge phenomenology, it reconstructs the product design evolution process and establishes a forward innovative design framework for iconic products, consisting of "design problem space-explicit knowledge space-tacit knowledge space-innovative solution space." Furthermore, based on FBS design theory, it develops a disruptive technology innovation forecasting framework of "technology problem space-knowledge base prediction-application scenario prediction-coupled technology prediction," which collectively advances the innovation systems engineering of iconic products. In light of the analysis of the global future industrial competitive landscape, it proposes a strategy for enhancing embodied intelligence in iconic products.