Aldo Romano – författare
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This book proposes a comprehensive analysis of the existing schools ofthought on technology-driven entrepreneurship to point out the process-based nature of this phenomenon. It explores whether entrepreneurship can belearned and examines the main processes that help influence entrepreneurialmind-sets.
In the current economic landscape, technology-drivenentrepreneurship is the driving force behind national economies and entrepreneurialsocieties. It is the engine of innovation, job creation, productivity andeconomic growth, bringing benefits both at the level of the individual and ofthe society and promoting sustainable smart growth and development. Thisbook provides a comprehensive view of “how” entrepreneurs and futureentrepreneurs learn and develop their business ventures in a wider environment.Moreover, it discussesissues concerning setting up thesuitable entrepreneurial environments, processes, values and policies toencourage and foster individual entrepreneurial aptitudes. It also explores practices fordeveloping technology-driven entrepreneurship in a European context as well asin emerging regions.
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Dynamic Learning Networks: Models and Cases in Action represents an attempt to provide a network perspective of organizational learning to drive dynamic competition through extended firm learning processes. This edited volume, contributed by worldwide experts in the field, provides academics and company managers with an extended view of organizational learning networks from real cases and different perspectives.
Dynamic Learning Networks: Models and Cases in Action is based on the workshop, Managing Uncertainty and Competition through Dynamic Learning Networks. It was organized by the E-Business Management Section of Scuola Superiore ISUFI – University of Salento (Italy) – and held in Ostuni (Italy) in July 2008.
Dynamic Learning Networks: Models and Cases in Action is designed for a professional audience, composed of researchers and practitioners working in corporate learning. This volume is also suitable for advanced-level students in computer science.
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