Martin Kunc – författare

Defines common ground at the interface of strategy and management science and unites the topics with an original approach vital for strategy students, researchers and managersStrategic Analytics: Integrating Management Science and Strategy combines strategy content with strategy process through the lenses of management science, masterfully defining the common ground that unites both fields. Each chapter starts with the perspective of a certain strategy problem, such as competition, but continues with an explanation of the strategy process using management science tools such as simulation. Facilitating the process of strategic decision making through the lens of management science, the author integrates topics that are usually in conflict for MBAs: strategy and quantitative methods. Strategic Analytics features multiple international real-life case studies and examples, business issues for further research and theory review questions and exercises at the end of each chapter.Strategic Analytics starts by introducing readers to strategic management. It then goes on to cover: managerial capabilities for a complex world; politics, economy, society, technology, and environment; external environments known as exogenous factors (PESTE) and endogenous factors (industry); industry dynamics; industry evolution; competitive advantage; dynamic resource management; organisational design; performance measurement system; the life cycle of organisations from start-ups; maturity for maintaining profitability and growth; and finally, regeneration.  Developed from the author's own Strategy Analytics course at Warwick Business School, personal experience as consultant, and in consultation with other leading scholarsUses management science to facilitate the process of strategic decision makingChapters structured with chapter objectives, summaries, short case studies, tables, student exercises, references and management science modelsAccompanied by a supporting websiteAimed at both academics and practitioners, Strategic Analytics is an ideal text for postgraduates and advanced undergraduate students of business and management.

Behavioral research is making a significant impact on many academic disciplines. Its status as the source of some of the most profound research in the social sciences is unparalleled. Therefore, it is not surprising that interest in Behavior and Operational Research (OR) is burgeoning, even though understanding the relationship between knowledge, behavior and action has been an academic preoccupation in OR since the beginning of the discipline.This book introduces the idea of Behavioral OR, where the theoretical and empirical developments in the behavioral field are making an impression on OR academics and practitioners alike. The book provides a much needed overview that connects together theory, methodology and practice and offers the “state of the art” on Behavioral Operational Research theory and practice. The book not only includes chapters by leading academics, but also includes rich and insightful real-life case studies by practitioners.

This book presents some of the most important papers published in Palgrave’s Journal of Operational Research relating to the use of System Dynamics (SD) in the context of Operational Research (OR).

This book presents some of the most important papers published in Palgrave’s Journal of Operational Research relating to the use of System Dynamics (SD) in the context of Operational Research (OR).

Enables organizations and managers to make strategic choices based on robust analytics supported by AI The new edition of Strategic Analytics introduces AI as the natural transition from management science and analytics, explains how AI will shape the managerial capabilities and the process of strategic planning, and showcases the support AI can provide to the process of strategic planning. The text includes numerous updates to critical subjects including sustainability and the UN Sustainable Development Goals, stakeholder management, soft aspects of organizations (including people, culture, and values), and organizational change driven by analytics and AI. This book discusses the three key types of analytics—descriptive, predictive, and prescriptive—together with multiple methods and frameworks from the field of strategic management. Multiple international real-life case studies, examples, and business issues for further research illustrate the combinations of analytics, AI and strategic management. Theory review questions and exercises are included at the end of each chapter. Sample topics discussed in Strategic Analytics include: Managerial capabilities for a complex world—politics, economy, society, technology, and environmentExternal environments known as exogenous factors (PESTE) and endogenous factors (industry)Industry dynamics, industry evolution, competitive advantage, dynamic resource management, organizational design, and performance measurement systemThe life cycle of organizations, from start-ups to maturity for maintaining profitability and growth and finally regenerationAimed at both academics and practitioners, Strategic Analytics is an ideal text for postgraduates and advanced undergraduate students of business and management.

This edited collection addresses the question of which capabilities and competencies enable Behavioral Operational Research to provide sustained improvement to decision processes.