Design Driven Innovation

This study examines the management strategies of representative companies in each country to gain insight into the value of ESG management strategies for corporate innovation and how design thinking and artistic interventions can foster creativity both internally and externally to drive corporate innovation. It compares the current state of design and/or art-driven innovation strategies in Korean and Chinese companies under ESG frameworks, and then discusses the challenges of corporate innovation in these countries. Based on the results of the comparison, the study suggests the future of corporate innovation in China.

This study examines the management strategies of representative companies in each country to gain insight into the value of ESG management strategies for corporate innovation and how design thinking and artistic interventions can foster creativity both internally and externally to drive corporate innovation. It compares the current state of design and/or art-driven innovation strategies in Korean and Chinese companies under ESG frameworks, and then discusses the challenges of corporate innovation in these countries. Based on the results of the comparison, the study suggests the future of corporate innovation in China.

It is now widely recognized that the emotional dimension of products and services is a critical success factor in many sectors. Generating products with significant emotional features is a complex challenge, as professionals responsible for designing and developing new products should be able to focus the design effort on eliciting specific emotions. But how do designers prepare themselves to convey emotions through the products they design? How do they know how to provoke certain emotions? To obtain the benefits that the knowledge of emotions can bring when it is integrated into the design process, professionals need to be assisted with approaches to apply the knowledge of emotions systematically and strategically.

All cloud architects need to know how to build data platforms that enable businesses to make data-driven decisions and deliver enterprise-wide intelligence in a fast and efficient way. This handbook shows you how to design, build, and modernize cloud native data and machine learning platforms using AWS, Azure, Google Cloud, and multicloud tools like Snowflake and Databricks.

In today’s ever-changing global world, there is a permanent need for anticipating new and evolving customer needs, resource supply constraints, and dynamically changing employee expectations. Sustainable innovation applies to products, services, and technologies as well as new business and organization models.

Use design thinking for competitive advantage.