Entrepreneurial Learning Evolutions in Startup Hubs

Entrepreneurial Learning Evolutions in Startup Hubs
Author: Nicola Capolupo
Publisher: Emerald Group Publishing
Total Pages: 132
Release: 2023-04-27
Genre: Business & Economics
ISBN: 1837530726

The analysis of Entrepreneurial Learning evolutions in startup hubs provides practical input to startup and incubator managers on the strategic drivers of change in training processes, investigating new trends of Entrepreneurial Learning in lean organizations.

Entrepreneurial Learning Evolutions in Startup Hubs

Entrepreneurial Learning Evolutions in Startup Hubs
Author: Nicola Capolupo
Publisher: Emerald Group Publishing
Total Pages: 121
Release: 2023-04-27
Genre: Business & Economics
ISBN: 183753070X

The analysis of Entrepreneurial Learning evolutions in startup hubs provides practical input to startup and incubator managers on the strategic drivers of change in training processes, investigating new trends of Entrepreneurial Learning in lean organizations.

Startup Ecosystems

Startup Ecosystems
Author: Fabio Greco
Publisher: Springer Nature
Total Pages: 125
Release: 2023-07-25
Genre: Business & Economics
ISBN: 3031344146

This book analyzes the components of the startup ecosystem, including the characteristics that can favor or disadvantage the development of new innovative ventures. The author believes it is essential to identify crucial variables of start-up ecosystems that have a context-specific influence on the well-being and development of startups. In this regard, the book analyzes the concept of the start-up ecosystem both from the point of view of scholars and professionals. The author then deals with the diverse approaches to studying startup ecosystems, which have over the years become increasingly complex, and less linear, making systematization indispensable. The author provides therefore a classification with a transversal logic with respect to this diversity of contributions in the literature. The main theoretical contributions to start-up ecosystems are grouped according to the attention they place on three different variables: territorial contexts, resources, and actors. The author also presents qualitative, interview-based, research using narrative analysis mode to understand the three variables. The work provides, on the one hand, the proposal of a framework as a theoretical interpretative model useful both for the description of the fundamental components of the start-up ecosystem, and also useful for giving a boost to future research. On the other hand, the book also presents evidence of a practical nature useful to support and guide the choices of startup founders and of managers of companies and institutions that orbit within start-up ecosystems.

Knowledge Evolution and Societal Transformations

Knowledge Evolution and Societal Transformations
Author: Jerald Hage
Publisher: Anthem Press
Total Pages: 410
Release: 2020-04-30
Genre: Social Science
ISBN: 1785273779

Knowledge evolution punctuates the previous equilibrium of society and requires us to develop adaptive solutions. One new rule is that as the discovery of new knowledge grows more difficult, more complex organizational and institutional arrangements have to be adopted. Knowledge growth is accelerating because not only are there more creative individuals and organizations developing radical innovations, but also innovative regions are facilitating both of these trends. The discussion of four social regions and the kinds of selves produced help explain partisan divides and integrate the social psychological literature. The growth in knowledge produces two kinds of social changes: In the nature of the social structure and the kinds of institutional problems that have to be solved. The discussion of changes in the stratification system, in the choice of organizational form, and in the spread of inter-organizational networks with tight connections (heterogeneous social capital) allows us to update Marx, Weber, and Durkheim. The new adaptive problems include growing inefficiencies in labor, product, and public markets and the failure of many existing programs. The proposed solutions are the creation of coordinated systemic networks in each of these areas, which integrates the comparative institutional literature, neoclassical economics, and political science.

Accelerators

Accelerators
Author: Mike Wright
Publisher: Edward Elgar Publishing
Total Pages: 225
Release: 2018
Genre: Acceleration principle (Economics)
ISBN: 1786434091

Accelerators are a rapidly growing new form of organization that aim to stimulate entrepreneurship through intensive, limited-period educational programs, including mentoring and networking for the cohort of start-up participants selected for each program, to improve their ability to attract investment at the end of the program. Drawing on novel evidence from across the world, this is the first book to provide rigorous analysis of the nature and effectiveness of accelerators that will be invaluable for researchers, policymakers and entrepreneurs.

The Origin and Evolution of New Businesses

The Origin and Evolution of New Businesses
Author: Amar Bhide
Publisher: Oxford University Press
Total Pages: 434
Release: 2000
Genre: Business & Economics
ISBN: 9780195170313

In a field dominated by anecdote and folklore, this landmark study integrates more than ten years of intensive research and modern theories of business and economics. The result is a comprehensive framework for understanding entrepreneurship that provides new and penetrating insights. This clearly and concisely written book is essential for anyone who wants to start a business, for the entrepreneur or executive who wants to grow a company, and for the scholar who wants to understand this crucial economic activity.

Entrepreneurial Ecosystems for Tech Start-ups in India

Entrepreneurial Ecosystems for Tech Start-ups in India
Author: M H Bala Subrahmanya
Publisher: Walter de Gruyter GmbH & Co KG
Total Pages: 189
Release: 2021-01-18
Genre: Business & Economics
ISBN: 3110679434

Why do tech start-ups emerge rapidly in emerging economies like India? What kind of entrepreneurial ecosystems have evolved for tech start-up promotion? What is their structure? What role do they play in the nurturing of tech start-ups to the advantage of regional economies? This book examines the trend of evolving entrepreneurial ecosystems for tech start-ups in India, ascertains its structure and examines its role in the nurturing of tech start-ups over its lifecycle, to bring out its implications for Indian economy. At the outset, it traces and conceptualizes what it terms an "ideal ecosystem" for tech start-ups in the Indian context, and explores the historical evolution of entrepreneurial ecosystems in two of the six leading start-up hubs in the country, namely, Bangalore and Hyderabad. It describes the characteristics and the structure of these ecosystems as they prevailed in the two start-up hubs, and analyses the role that they play in nurturing the development of tech start-ups. Finally, this book explores the ecosystem gaps that exist in the two cities, the factors causing these gaps, and makes policy recommendations to encourage the growth of a "healthy and vibrant" entrepreneurial ecosystem for the accelerated growth of tech start-ups in these two cities in particular, to promote employment, innovation and economic growth in the country at large. Policy makers, researchers, engineering and management students, technology and business mentors, angels, venture capitalists, and MNC executives will find the book informative, revealing and a source of valuable insights into a new, rapidly emerging entrepreneurial India.

Building Feature Extraction with Machine Learning

Building Feature Extraction with Machine Learning
Author: Bharath.H. Aithal
Publisher: CRC Press
Total Pages: 109
Release: 2022-12-29
Genre: Technology & Engineering
ISBN: 1000817202

Big geospatial datasets created by large infrastructure projects require massive computing resources to process. Feature extraction is a process used to reduce the initial set of raw data for manageable image processing, and machine learning (ML) is the science that supports it. This book focuses on feature extraction methods for optical geospatial data using ML. It is a practical guide for professionals and graduate students who are starting a career in information extraction. It explains spatial feature extraction in an easy-to-understand way and includes real case studies on how to collect height values for spatial features, how to develop 3D models in a map context, and others. Features Provides the basics of feature extraction methods and applications along with the fundamentals of machine learning Discusses in detail the application of machine learning techniques in geospatial building feature extraction Explains the methods for estimating object height from optical satellite remote sensing images using Python Includes case studies that demonstrate the use of machine learning models for building footprint extraction and photogrammetric methods for height assessment Highlights the potential of machine learning and geospatial technology for future project developments This book will be of interest to professionals, researchers, and graduate students in geoscience and earth observation, machine learning and data science, civil engineers, and urban planners.