Agile Innovation

Author(s):  
Ulrich Lichtenthaler

In light of digital transformation and a stronger application of artificial intelligence, many firms try to increase the agility of their innovation processes. In this regard, they particularly rely on design thinking or on the lean startup approach to reduce some of the deficits of established innovation processes, such as the stage-gate model. This conceptual article shows that merely focusing on design thinking and lean startup in isolation will not enable companies to fully leverage the benefits of agile innovation. Because of the complementarity of design thinking and lean startup, executives should simultaneously pursue these approaches in order to achieve results that are more than the sum of isolated design thinking or isolated lean startup initiatives. This complementarity derives from the specific benefits of design thinking in the front end of the innovation process combined with the particular benefits of lean startup in the back end.

2021 ◽  
Vol 62 (1) ◽  
pp. 17-29
Author(s):  
Ouelid Ouyeder ◽  
Julia Hitzbleck ◽  
Henning Trill

Abstract The aim of this paper is to introduce an end-to-end development process for non-biomedical innovation and new business models of a Life Science company that integrates different methods such as Design Thinking, Lean Startup, Agility and others within one framework. Since 2016 this innovation process is an essential part of the internal Employee Innovation program and proves its applicability in a real-life setting. Projects teams develop and implement their new digital business models successfully by taking the introduced innovation process as guideline. This process enables the Life Science organization to run two global entrepreneurship programs (Catalyst Fund and Catalyst Box) that foster customer focus with fast and evidence-based experimentation. The article encompasses a real-life case study out of the Catalyst Fund program about the Farm Advisory Team from India. By using this example each phase of the innovation process is described schematically. Idea generation is easy-to-apply, but the implementation of ideas is one of the biggest challenges in larger corporations. The proposed end-to-end innovation process connects the dots of different innovation methods and provides guidance to company decision makers and project teams in order to structure their business model innovation activities/strategy and discussions. Zusammenfassung Das Ziel dieses Beitrags ist es, einen durchgängigen Innovationsprozess für nicht-biomedizinische Lösungen und Geschäftsmodelle eines Life-Science-Unternehmens vorzustellen, der verschiedene Methoden wie Design Thinking, Lean Startup, Agilität und andere innerhalb eines Gestaltungsrahmens integriert. Seit 2016 ist der Innovationsprozess ist ein wesentlicher Bestandteil des internen Employee Innovation Programms und beweist seine Anwendbarkeit in einem realen Umfeld. Projektteams entwickeln und implementieren ihre neuen digitalen Geschäftsmodelle erfolgreich, indem sie den vorgestellten Innovationsprozess als Leitfaden nutzen. Dieser Prozess ermöglicht es dem Life-Science-Unternehmen, zwei globale Entrepreneurship-Programme (Catalyst Fund und Catalyst Box) durchzuführen, die den Kundenfokus mit schnellen und evidenzbasierten Experimenten fördern. Der Artikel umfasst eine reale Fallstudie aus dem Catalyst Fund Programm über das Farm Advisory Team aus Indien. Anhand dieses Beispiels wird jede Phase des Innovationsprozesses schematisch beschrieben. Die Ideengenerierung ist leicht anwendbar, aber die Umsetzung von Ideen ist eine der größten Herausforderungen in größeren Unternehmen. Der vorgeschlagene End-to-End-Innovationsprozess integriert die verschiedenen Innovationsmethoden und bietet Entscheidungsträgern und Projektteams in Unternehmen eine Anleitung, um ihre Aktivitäten bzw. Strategie und Diskussionen zur Geschäftsmodellinnovation zu strukturieren.


2019 ◽  
Vol 3 (2) ◽  
pp. 29-38
Author(s):  
Joaquin Carvalho Proenca

An innovation program designed and implemented with two Peruvian small, medium business in health and hotel industries focused on value creation goal while developing products and services innovation. For insights, ideas generation, solutions validation and prototyping proposals at the front-end open innovation strategy were used both indirect and direct methods; trends research, customer journey mapping, ethnography, interaction with users with depth interviews and dynamic group sessions. The research sought both to test the program and deploy the methods developed in business to advance capabilities for knowledge management and iterative processes. As a result small and medium businesses can develop Services Design according to their human and financial limitations using processes based on four axes; scanning the environment immersion learning, gamification, Lean and Design Thinking. The research concluded there are alternative paths that take into account and involve greater collaboration of users that businesses can explore and exploit. Innovation processes do not have to be long, uncertain or expensive for small and medium businesses.


Author(s):  
John M. Feland

A growing number of enterprises are building virtual teams to assist in crafting new opportunities in the fuzzy front end of the innovation process. Using the tools of design thinking, these creative virtual teams have different management requirements than virtual teams used in the more routine efforts of product development. This chapter uses examples from industry to examine the challenges of managing customer expectations, explore the membership dynamics of virtual teams, and suggest a new framework for assessing the progress of creative virtual teams, concept maturity. An example from the creative virtual team at Synaptics, the Red Dot Award winning Onyx mobile phone concept, is used to delve deeper into these concepts. Finally, trends for the diffusion of creative virtual teams as well as potential challenges in bringing such teams into your organization are investigated.


Author(s):  
FELIX SCHEUENSTUHL ◽  
PETER M. BICAN ◽  
ALEXANDER BREM

The Lean Startup approach and its related Minimum Viable Product thinking is one of the key trends not only in entrepreneurship, but also in more and more established companies. Before this background, this paper experimentally investigates whether and how the Lean Startup approach improves innovation processes in established companies. For this, the overall experiment had 23 participants, the outcome was then matched against a control group and evaluated through a survey with 146 representatives of the target group of the product. The results show that the Lean Startup approach outperforms the traditional approach and that this method improves the success rate of innovation ideas and thus supports the learning philosophy within established companies. Moreover, the experiment revealed a superior performance, especially relating to financial output. Based on these results, implications for research and companies are discussed, as well as limitations and further research suggestions.


2021 ◽  
Vol 1 ◽  
pp. 31-40
Author(s):  
Tucker Marion ◽  
David Cannon ◽  
Tahira Reid ◽  
Anna-Maria McGowan

AbstractDesign thinking is a methodology that comes from the industrial design realm and is centred on culling better needs insight from users. Another popular methodology is based gaining insight on the potential of an opportunity through experimentation, testing, and iterating with users. This is commonly referred to as lean startup methods. However, from a research perspective, we still do not know the most effective way to implement these user focused design methods within the innovation process within organizations, and which aspects of the design process are the most impactful in developing new opportunities. In this research, we propose a high-level conceptual process model on how user focused design methods such as design thinking and lean startup methods can be integrated into the up-front innovation process within organizations. We review the conceptual model, associated activities, and process considerations. The article concludes with thoughts on future research.


2021 ◽  
Vol 2 (11) ◽  
pp. 174-179
Author(s):  
Alexander A. Stepanov ◽  
◽  
Margarita V. Savina ◽  
Ilya A. Stepanov ◽  
◽  
...  

The article deals with theoretical and methodological issues of improving management sys-tems for innovative development. At the same time, special attention is paid to the issues of the impact of the achievements of scientific and technological progress on the transformation of patterns and principles of sub-stantiating effective innovative solutions in the paradigm of digitalization, digital transformation and globaliza-tion. It has been substantiated and proved that digitalization and digital transformation predetermined the need in the process of innovation to take into account such new patterns of development of innovation processes as turbulence, delocality, desynchronization, temporality, humanization, and a high level of corporate culture all participants in the innovation process.


Author(s):  
Natalia V. Vysotskaya ◽  
T. V. Kyrbatskaya

The article is devoted to the consideration of the main directions of digital transformation of the transport industry in Russia. It is proposed in the process of digital transformation to integrate the community approach into the company's business model using blockchain technology and methods and results of data science; complement the new digital culture with a digital team and new communities that help management solve business problems; focus the attention of the company's management on its employees and develop those competencies in them that robots and artificial intelligence systems cannot implement: develop algorithmic, computable and non-linear thinking in all employees of the company.


Author(s):  
Francesco Piccialli ◽  
Vincenzo Schiano di Cola ◽  
Fabio Giampaolo ◽  
Salvatore Cuomo

AbstractThe first few months of 2020 have profoundly changed the way we live our lives and carry out our daily activities. Although the widespread use of futuristic robotaxis and self-driving commercial vehicles has not yet become a reality, the COVID-19 pandemic has dramatically accelerated the adoption of Artificial Intelligence (AI) in different fields. We have witnessed the equivalent of two years of digital transformation compressed into just a few months. Whether it is in tracing epidemiological peaks or in transacting contactless payments, the impact of these developments has been almost immediate, and a window has opened up on what is to come. Here we analyze and discuss how AI can support us in facing the ongoing pandemic. Despite the numerous and undeniable contributions of AI, clinical trials and human skills are still required. Even if different strategies have been developed in different states worldwide, the fight against the pandemic seems to have found everywhere a valuable ally in AI, a global and open-source tool capable of providing assistance in this health emergency. A careful AI application would enable us to operate within this complex scenario involving healthcare, society and research.


2021 ◽  
Vol 64 (5) ◽  
pp. 18-30
Author(s):  
Nicolò Cocchi ◽  
Clio Dosi ◽  
Matteo Vignoli

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