Developing Holistic Strategic Management In The Advanced Ict Era

From the lens of holistic systems theory, this book discusses strategic management adapted to evolving convergence in an era of advanced ICT from the viewpoint of the major management elements of strategy, organizations, technologies, operations and leadership.To discuss corporate change in response to such advanced technology in a theoretical and empirical manner, it is necessary not only to analyze and consider individual management elements such as strategy, organizations, technologies, operations and leadership in a piece-meal manner but also to determine the research issues from a framework based on a holistic management perspective through systems theory including interaction between and among the respective individual management elements (from micro to macro elements).Applying both innovation theory and capabilities theory, this book presents a new framework and knowledge for holistic strategic management from a systems theory lens that focuses on the issue of how major corporations can develop capabilities to achieve strategic innovation in response to the impacts of advanced ICT on corporate management.

Strategic innovation dynamically brings about strategic positioning through new products, services and business models, and is a dynamic view of strategy that enables a corporation to maintain its competitive advantage and establish sustainable growth. For these reasons, corporations have to be innovators that can reinforce their existing positions through incremental innovation, while at the same time constantly renewing or destroying existing business through radical innovation. This book presents a holistic theoretical model, The Strategic Innovation System, as a system of capabilities for companies to achieve strategic innovation. As a subsystem of the Strategic Innovation System, this book presents the concept of the “Capabilities Building Map”, which has characteristics of four different capabilities that correspond to the elements of speed of changes and uncertainty in the environment faced by companies. It explores how companies can change and even evolve their capabilities to achieve strategic innovation, using the latest findings of the systems-view, the process-view, and dynamic capabilities-view. The author evaluates management systems that achieve sustainable strategic innovation by utilizing knowledge assets inside and outside of organizations, including those of leaders, rather than simply relying on leaders with strong will. This book will primarily appeal to academics, researchers, and graduate students interested in innovation and technology management, digital transformation as well as strategic management and strategy planning and a broader business audience.

Illustrating the interdisciplinary implications for research on creativity development, this book focuses on the new concept of ‘knowledge differences’ that arise between people, organizations and various phenomena. It describes how these key differences create boundaries knowledge, a dynamic process that accelerates innovation.

With recent advances in IT in areas such as AI and IoT, collaboration systems such as business chat, cloud services, conferencing systems, and unified communications are rapidly becoming widely used as new IT applications in global corporations’ strategic activities. Through in-depth longitudinal studies of global corporations, the book presents a new theoretical framework and implications for IT-enabled dynamic capabilities using collaboration systems from the perspective of micro strategy theory and organization theory. The content of the book is based on longitudinal analyses that employ various qualitative research methods including ethnography, participant observation, action research and in-depth case studies of global corporations in Europe, the United States and Asia that actively use collaboration systems. It presents a new concept of micro dynamism whereby dynamic "IT-enabled knowledge communities" such as "IT-enabled communities of practice" and "IT-enabled strategic communities" create "IT-enabled dynamic capabilities" through the integration of four research streams - an information systems view, micro strategy view, micro organization view and knowledge-based view. The book demonstrates that collaboration systems create, maintain and develop "IT-enabled knowledge communities" within companies and are strategic IT applications for enhancing the competitiveness of companies in the ongoing creation of new innovation and the realization of sustainable growth in a 21st century knowledge-based society. This book is primarily written for academics, researchers and graduate students, but will also offer practical implications for business leaders and managers. Its use is anticipated not only in business and management schools, graduate schools and university education environments around the world but also in the broad business environment including management and leadership development training.

Business and management approaches to innovation tend to focus on incremental changes to existing products and processes, such as new product development, design-thinking, and business model innovation. In contrast, Radical Innovation Challenges focusses on radical and breakthrough innovation, and identifies its distinct sources, organization, processes, and outcomes. This book illustrates conceptual models and practical methods to better understand and manage radical innovation, and provides an argument for an iterative coupling process, between knowledge-push and demand-pull challenges and opportunities.The book draws upon a distinct interdisciplinary body of knowledge to provide a crucial insight into the latest research and experience, and demonstrates how radical innovation practices and policies can be applied to fundamental corporate and social challenges such as climate change.

Artificial Intelligence and Innovation Management contributes to the ongoing debate among innovation scholars and practitioners focusing on the potential impact of Artificial Intelligence (AI) on the ways companies and organizations do business, operate and innovate. It considers AI as a source of innovation both in terms of innovation within the field of AI itself (AI innovation) and in terms of how it enables or disrupts innovation in other fields (AI-driven innovation). The book's content is driven by several important conclusions:It is therefore both necessary and timely to explore the different aspects of the relationship between AI and IM.The contributors to this book include both scholars and practitioners from multiple countries and different types of institutions. They were selected based on their ability to provide a relevant distinctive perspective on the relationship between AI and IM; the degree of their professional engagement with the field; their ability to contribute to the thematic and contextual diversity of the contributions; and their ability to provide actionable insights for both innovation scholars and practitioners.Helena Blackbright (Mälardalen University, Sweden) and Stoyan Tanev (Carleton University, Canada) are chairing the Special Interest Group on AI and IM at the International Society for Professional Innovation Management (https://www.ispim-innovation.com/).

Knowledge Management focuses on identifying, sharing, storing, and exploiting internal knowledge, whereas Open Innovation is more concerned with sources of external knowledge. However, this simple dichotomy between open and closed approaches is unhelpful and not realistic. Instead, it is the interaction between internal and external knowledge that creates dynamic capabilities and the ability to innovate. In particular, we need to better understand the interactions between internal and external knowledge, and how these influence innovation outcomes under different conditions. This edited volume, Managing Knowledge, Absorptive Capacity, and Innovation, provides an opportunity to combine contemporary interests in Open Innovation with the classic notion of absorptive capacity, to better understand how organisations can manage the absorption and exploitation of inbound external sources of knowledge in order to innovate.

The ISO Innovation Management System (IMS) Standard (ISO 56002) provides a much needed and well-timed input to the innovation management discipline. While research efforts within the domain of innovation management have vastly increased over the past decades, research has primarily been conducted through specific contributions to distinct areas of innovation management (e.g., top management, culture, processes), lacking a more holistic perspective. Practitioners know that managing innovation is challenging. Bringing in a globally recognised standard that offers a holistic perspective will be key in professionalising the innovation management discipline, much like quality management and project management standards have done in the past.This book focuses on the ISO Innovation Management System Standard and the links with ISPIM's Body of Knowledge (BoK) special interest group, the ISO innovation management community, and the International Collaboration Platform for Innovation Management System (ICP4IMS). It covers four topics as follows: