Convergenomics is about the megatrends that are shaping how people behave and organizations work. In this insightful analysis, Sang Lee and David Olson describe how globalization, digitization, changing demographics, changing industry mix, deregulation and privatization, commoditization of processes, new value chains, emerging new economies, deteriorating environment, and cultural conflicts have led to what they define as a convergence revolution. Lee and Olson discuss this convergence revolution from the perspectives of technology, industry, knowledge, open-source networking and bio-artificial convergence, and they explain how human systems are transformed by what they have named convergenomics. Understanding convergenomics can lead to innovative strategic approaches and, the authors contend, more agile businesses are already employing these approaches to become and remain competitive and to generate greater value in a world radically changed by e-commerce. Business leaders and 'students' of strategy at all levels will learn from this book how revolutionary developments can be embraced rather than feared, and how technology that is potentially frightening in its complexity can be harnessed and used to enable productive collaboration and gain competitive advantage.

The concept of innovation is always changing. Innovation systems are no longer rigid structures, but agile and self-healing systems. And the goal of innovation is no longer limited to value-creation for organizations, but often aims for much nobler goals: namely, creating a smart future where people are happy, where organizations thrive, and where the environment flourishes. The emerging innovation paradigm for building a smart future is the practice of lived innovation. Here innovation and knowledge management experts Sang M. Lee and Seongbae Lim offer a roadmap to these new territories and their futures. Drawing upon real-world examples from across the globe, they explain the fundamentals of innovation; they introduce emerging innovation tools such as convergence management, co-creation, and design thinking; and they outline a new innovation strategy, co-innovation, by which many partners and stakeholders collaborate to achieve shared goals. Along the way, they also examine several daunting, negative impacts of innovation in the digital age---job losses, wealth inequality, and sustainability and environmental issues---in order to demonstrate why innovation must focus on the greater social good. Living Innovation is essential reading for business executives, public administrators, innovation researchers, and anyone eager to confront major twenty-first-century challenges in new ways.

The U.S. federal government maintains more than 500,000 facilities in the United States and around the world, most of which are heavily dependent on fossil fuels to produce electricity. Within the federal government, the Department of Defense (DOD) spends over $2.5 billion per year on facility energy consumption which makes them the largest single energy consumer in the United States. Therefore, federal energy conservation goals focus on aggressively reducing energy consumption by reducing the energy demand at the facility level within the next 20 years. Daylighting is a passive solar energy strategy at the facility level that leverages load avoidance by relying on windows and skylights to reduce building electrical lighting load; which accounts for approximately $15-23 billion annually in energy consumption. Our research findings show that electrochromic windows have the lowest energy consumption compared with other daylighting strategies appropriate for building retrofit. However, the prohibitive initial investment cost of electrochomic windows do not make them economically viable; therefore, the only daylighting strategy currently viable for Air Force facilities, based on our simulations, is the advanced daylighting control system. We found that economic incentive policies currently available for other passive solar technology could make emerging daylighitng technology, such as electrochromic windows, viable. Finally, we demonstrate the robustness of probabilistic life-cycle cost model using Monte Carlo simulation that could provide significantly more information compared to the current deterministic tool, BLCC 5, used for federal energy projects.