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Digital technologies have become a new economic and social force, reshaping traditional business models, strategies, structures, and processes. Digital entrepreneurship, which focuses on creating new ventures and transforming existing businesses by developing novel digital technologies or their novel usage, is seen as a critical pillar for economic growth, job creation, and innovation by many countries. Further, digital technologies have also enabled the growth of the sharing economy, linking owners and users and disrupting the previous dualism of businesses and customers.This volume discusses the management of new technology-based firms and technology projects initiated in academic or industrial contexts. The contributions feature new theoretical concepts, ethical considerations, empirical data analysis (qualitative and quantitative), archival and historical methods, design science approaches, action and field research, as well as management science methods, informatics and cybernetics.
In The Platform Paradox, Wharton professor Mauro F. Guillén argues that many platforms misunderstand key aspects of what it takes to succeed globally, from culture and institutions to local competitive dynamics. He offers an integrated framework for digital platforms to identify and implement a strategy on a truly global scale.
This is an exciting and innovative core textbook that focuses on the micro-level analysis of TM as a dynamic capability. Now in its second edition and fully updated throughout, it systematically addresses the major tools and techniques needed for businesses to successfully conduct TM activities. Arguing that there is no single best way to manage technology in a company and there is no mechanistic route to success, this accessible handbook provides a wealth of resources designed to increase the dynamic capability of an organisation. Written by a highly experienced team of authors from the Universities of Sabanci and Cambridge, Technology Management is the perfect companion for undergraduate and postgraduate students on a variety of business, management and engineering degree courses. It is also suitable for practitioners seeking to progress their professional development and industry knowledge.
Intelligent Decision Technologies (IDT) seeks an interchange of research on intelligent systems and intelligent technologies which enhance or improve decision making in industry, government and academia. The focus is interdisciplinary in nature, and includes research on all aspects of intelligent decision technologies, from fundamental development to the applied system. This volume represents leading research from the Third KES International Symposium on Intelligent Decision Technologies (KES IDT’11), hosted and organized by the University of Piraeus, Greece, in conjunction with KES International. The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future. The symposium was concerned with theory, design, development, implementation, testing and evaluation of intelligent decision systems. Topics include decision making theory, intelligent agents, fuzzy logic, multi-agent systems, Bayesian networks, optimization, artificial neural networks, genetic algorithms, expert systems, decision support systems, geographic information systems, case-based reasoning, time series, knowledge management systems, rough sets, spatial decision analysis, and multi-criteria decision analysis. These technologies have the potential to revolutionize decision making in many areas of management, healthcare, international business, finance, accounting, marketing, military applications, ecommerce, network management, crisis response, building design, information retrieval, and disaster recovery for a better future.
With chapters focusing on China, India, Southeast Asia and South America, the Handbook explores views on the new hot spots in techno-entrepreneurship development.