Innovation Mechanisms in Start-ups - Gupta, Varun
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Innovation Mechanisms in Start-ups: Practice, Strategies and Impacts serves as a practical resource for startups looking for innovating their business models in domestic and global markets. This book's main objective is to describe the innovative business practices adopted by startups during the pandemic, with a special emphasis on value proposition innovation and business model innovation more generally. In order to promote open innovation, this book emphasizes the value of strategic alliances with academic libraries, peer startups, and freelancers. Additionally, using actual startup case…mehr

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Produktbeschreibung
Innovation Mechanisms in Start-ups: Practice, Strategies and Impacts serves as a practical resource for startups looking for innovating their business models in domestic and global markets. This book's main objective is to describe the innovative business practices adopted by startups during the pandemic, with a special emphasis on value proposition innovation and business model innovation more generally. In order to promote open innovation, this book emphasizes the value of strategic alliances with academic libraries, peer startups, and freelancers. Additionally, using actual startup case studies, it was shown how important technological innovation is for gathering feedback, prototyping, and conducting both secondary as well as primary market research. Startups can utilize the technology evaluation and adoption frameworks as a useful reference when choosing a technology to embrace strategically. The need of regularly experimenting with new approaches, learning from mistakes,and enhancing current processes is also emphasized in this book. The ability to dispel falsehoods, capitalize on technological advancements, and form strategic alliances will be essential for innovation even in times of pandemic. This book links theoretical insights with practical experiences of startups amid the pandemic. With a perfect balance of empirical research and assessment study types, this book is a source of quick knowledge for entrepreneurs, academics and researchers on how to enhance a company's innovative capacities and success rates. The BMI-Pandemic 2.15 model, which is an expanded version of the Odyssey 3.14 model, is presented in this book which highlight 15 guidelines to follow in order to innovate business models in pandemics. This book is suitable for Entrepreneurs, Academicians, Researcher and Technologists.

Autorenporträt
Varun Gupta is a Professor at GISMA University of Applied Sciences, Potsdam, Germany. He had maintained various associations with Universidad de Alcalá (UAH) in a number of capacities, most notably as a postdoctoral researcher, researcher and co-Director of master's degree in Innovation Economics, Management and Technology (Online & Presential). He was a visiting postdoctoral researcher with Software Engineering Research Group (SERG), Department of Computer Science, Lund University, Sweden. He is an Associate Editor of IEEE Access (published by IEEE, and SCIE indexed with a 3.367 impact factor), PeerJ Computer Science (published by PeerJ, SCIE indexed with a 1.39 impact factor), PLOS One (SCIE indexed with a 3.752 impact factor), International Journal of Computer Aided Engineering & Technology (published by Inderscience Publishers, Scopus indexed), IEEE Software blog, and Journal of Cases on Information Technology (JCIT), and is a former editorial team member of the British Journal of Educational Technology (BJET) (published by Wiley, SCIE indexed). He earned the Bachelor of Technology (Hons.), Master of Technology (by research), and Ph.D. degrees in computer science and engineering. He holds an M.B.A. (general) and a Máster en Dirección Internacional de Empresas as well. He is serving as a Reviewer of IEEE Transactions on Emerging Topics in Computational Intelligence. He was awarded with the "Best Editor Award" by Inderscience Publishers for his contributions to the International Journal of Computer Aided Engineering & Technology (Scopus Indexed) as Associate Editor. His area of interest is evidence based software engineering and innovation management.