Current Issue

Volume 2 – Issue 1 – March 2024: Leadership Dynamics

Navigating Complexity: Leadership and AI as Catalysts for Innovation

In an era where technology rapidly reshapes our world, understanding the interplay between leadership, innovation, and the evolving role of artificial intelligence (AI) is crucial. As we delve into this landscape, we encounter a spectrum of challenges and opportunities that demand a nuanced approach to management and creativity. This exploration reveals how ambidextrous leadership and AI are not mere trends but essential components in steering organizations towards resilience and growth. With each stride into the unknown, the insights from pioneers and thought leaders light the way, offering guidance and inspiration for navigating the complexities of the digital age. Here, the fusion of human ingenuity and machine intelligence emerges as a blueprint for the future, promising to redefine the boundaries of what is possible.

In this issue of the Leadership BRIEFs we delve into the transformative powers of ambidextrous leadership and artificial intelligence (AI) in the technological and engineering fields, alongside the insightful findings from a recent survey on AI’s impact on engineering professionals. Sara Aziz and Noorlizawati Abd Rahim, in their Leadership BRIEF, illuminate the essence of ambidextrous leadership in tech ventures. They argue that this leadership style, which harmonizes innovation with stability, is crucial for sustainable growth and adaptability in the tech sector. By offering a mix of strategic innovation and meticulous execution, they present a compelling blueprint for future leaders aiming to navigate the complexities of the tech industry successfully. Robert G. Cooper’s exploration into AI’s role in new product development (NPD) underscores the technology’s capacity to redefine traditional processes, from idea generation to market launch. Highlighting examples from Nestlé, Mattel, and Siemens, Cooper’s insights reveal how early AI adoption is not just an advantage but a necessity for firms aiming to maintain a competitive edge. This article serves as a wake-up call for companies to integrate AI into their NPD strategies, promising enhanced innovation, efficiency, and product quality. Lastly, the findings from Jose Joskowicz and Daniel Slomovitz on the perspectives of electrical and computer engineers towards generative AI paint a picture of cautious optimism. Despite varying levels of knowledge about AI, its widespread adoption, especially among younger engineers, suggests a significant shift in the engineering landscape. However, the underlying job security concerns highlight the need for leaders to foster AI adoption responsibly. By advocating for tailored training, ethical considerations, and open communication, they provide a roadmap for balancing AI’s advantages with the indispensable value of human creativity.

The TEMS Leadership BRIEFS are a free membership benefit for all TEMS members. If you would like to contribute to the IEEE TEMS Leadership BRIEFS please contact me at I do hope this issue of the IEEE TEMS Leadership BRIEFS provides you with new ideas and actionable insights. You as a leader are responsible to prepare your team and organization for the future!

Sabine Baumann, Editor-in-Chief

In this Issue

Sara Aziz and Noorlizawati Abd Rahim – Driving Innovation and Stability: The Role of Ambidextrous Leadership in Technology Ventures

Industries are evolving in response to digitalization, AI, and global crises, prompting a shift in business dynamics. Sabine Reisinger and Johannes Lehner developed the Creating Competitiveness Model that introduces four arenas – Dominate, Persist, Drive, and Network – based on strategic choices involving collaboration, continuity, and innovation. Analyzing specific business models within these arenas helps gain a decisive competitive advantage through ambidexterity and coopetition skills in navigating the dynamic interplay between competition and collaboration.

Robert G. Cooper – The Artificial Intelligence Revolution in New Product Development

Artificial Intelligence (AI) is transforming new product development (NPD) by streamlining processes from concept generation to market launch, significantly accelerating innovation and efficiency. Through applications like idea generation, concept design, and digital prototyping, AI is enabling companies like Nestlé, Mattel, and Siemens to pioneer in their fields. Robert G. Cooper demonstrates  how early adopters in various industries are leveraging AI to gain a competitive edge, highlighting the urgent need for firms to integrate AI into their NPD strategies to enhance product quality and competitive advantage.

Jose Joskowicz and Daniel SlomovitzUsing Artificial Intelligence at Work – The Engineers’ Perspective

A recent survey highlighted the perspectives of electrical and computer engineers on the impact of generative AI in their field, revealing a blend of optimism and caution. Despite a general low to medium level of AI knowledge, a significant majority have already adopted AI tools like ChatGPT, Dall-E, and Midjourney, particularly younger engineers. While most report a positive impact on their work, concerns about job security remain. In their Leadership BRIEF Jose Joskowicz and Daniel Slomovitz recommend engineering leaders should foster AI adoption through tailored training, address ethical and practical concerns, and ensure open communication about AI’s role and potential job implications, thereby balancing AI’s benefits with the value of human creativity and expertise.

Alexander Brem – Editor’s Picks Engineering Management Review (EMR)

EMR’s latest issue focuses on “Transformative Learning as a Catalyst for Innovation in Times of Uncertainty,” presenting articles on frugal innovation, a holistic innovation model, agile project management, and predictive analytics in the automotive industry. Additionally, there’s an open call for contributions to a Special Issue on Technology Management in Metaverse Technology and Applications, reflecting the journal’s commitment to exploring cutting-edge topics relevant to today’s engineering leaders.

About the author

Sabine Baumann

About the Editor
Sabine Baumann is an award-winning and internationally recognized Professor of Management and Industrial Engineering, Scientific Director, Consultant, Author, Editor and Speaker. Her consulting and research areas are all interdisciplinary, involving either changes in business models due to new technologies or the strategic exploitation of platforms and digital business ecosystems. LinkedIn: Website:

TEMS – 5 Focus Areas

Moving Product/Services from Idea to Market

Identifying and Implementing Successful Projects, and Systems

Integrating Technology for Capability and Productivity

Developing from Engineer to Leader

Balancing the Norms of Society, Government, and Regulators

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