Oliver Gassmann
Biographic Data
| ID | 5129379 |
|---|---|
| NAME | Oliver Gassmann |
| GIVEN NAMES | Oliver |
| FAMILY NAME | Gassmann |
| SIGNATURE | GASSMANN O |
| AFFILIATIONS | University of St.Gallen |
| ORCID | 0000-0002-0448-1564 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 12 |
| WORKS AS EDITOR | 1 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Less trust, more truth
Business model literature, while insightful, primarily focuses on the Internet and Web 2.0 contexts. The emergence of pioneering digital technologies, especially the Web3 anchored by blockchain, necessitates reevaluating business model paradigms, particularly those of platform business models within related ecosystems. This study delves into blockchain's unique affordances, investigating how they mold novel Web3 business model patterns and integr…
Digitale Transformation gestalten
Digitale Transformation gestalten
Implementing and scaling artificial intelligence
Artificial intelligence (AI) will have a substantial impact on firms in virtually all industries. Without guidance on how to implement and scale AI, companies will be outcompeted by the next generation of highly innovative and competitive companies that manage to incorporate AI into their operations. Research shows that competition is fierce and that there is a lack of frameworks to implement and scale AI successfully. This study begins to addres…
Artificial intelligence and innovation management
Artificial Intelligence (AI) reshapes companies and how innovation management is organized. Consistent with rapid technological development and the replacement of human organization, AI may indeed compel management to rethink a company's entire innovation process. In response, we review and explore the implications for future innovation management. Using ideas from the Carnegie School and the behavioral theory of the firm, we review the implicati…
Digitale Transformation gestalten
Patentmanagement
Coordination mechanisms for international innovation in SMEs
Praxiswissen Innovationsmanagement
Inter‐institutional collaboration for new integrative teaching programs
Purpose This paper presents an inter‐institutional collaboration project. The project's goal was to develop a new teaching program that fosters pre‐university innovation and entrepreneurship education. The purpose of this paper is to derive implications for future inter‐institutional collaborations. Design/methodology/approach The development and testing of the new teaching program corresponds to the design science paradigm. Findings The findings…
The future of open innovation
Institutional openness is becoming increasingly popular in practice and academia: open innovation, open R&D and open business models. Our special issue builds on the concepts, underlying assumptions and implications discussed in two previous R&D Management special issues (2006, 2009). This overview indicates nine perspectives needed to develop an open innovation theory more fully. It also assesses some of the recent evidence that has come to ligh…
Praxiswissen Innovationsmanagement
Innovative Unternehmen wachsen uberproportional und sind profitabler als ihre Wettbewerber. Zudem sind innovative Unternehmen Wiederholungstater: Apple zum Beispiel zeigt, dass es regelmassig sich und seine Produkte neu erfinden kann. Doch gleichzeitig scheitern die meisten Innovationsprojekte. Der Grund: Zu lange Entwicklungszeiten, uberzogene Kosten oder heroischer Aktionismus am Projektende fuhren zu technisch nicht ausgereiften Produkten, die…
Open R&D and open innovation
There is currently a broad awareness of open innovation and its relevance to corporate R&D. The implications and trends that underpin open innovation are actively discussed in terms of strategic, organizational, behavioral, knowledge, legal and business perspectives, and its economic implications. This special issue aims to advance the R&D, innovation, and technology management perspective by building on past and present studies in the field and …
Implementing and scaling artificial intelligence
Artificial intelligence (AI) will have a substantial impact on firms in virtually all industries. Without guidance on how to implement and scale AI, companies will be outcompeted by the next generation of highly innovative and competitive companies that manage to incorporate AI into their operations. Research shows that competition is fierce and that there is a lack of frameworks to implement and scale AI successfully. This study begins to addres…
Open R&D and open innovation
There is currently a broad awareness of open innovation and its relevance to corporate R&D. The implications and trends that underpin open innovation are actively discussed in terms of strategic, organizational, behavioral, knowledge, legal and business perspectives, and its economic implications. This special issue aims to advance the R&D, innovation, and technology management perspective by building on past and present studies in the field and …
The future of open innovation
Institutional openness is becoming increasingly popular in practice and academia: open innovation, open R&D and open business models. Our special issue builds on the concepts, underlying assumptions and implications discussed in two previous R&D Management special issues (2006, 2009). This overview indicates nine perspectives needed to develop an open innovation theory more fully. It also assesses some of the recent evidence that has come to ligh…
Praxiswissen Innovationsmanagement
Innovative Unternehmen wachsen uberproportional und sind profitabler als ihre Wettbewerber. Zudem sind innovative Unternehmen Wiederholungstater: Apple zum Beispiel zeigt, dass es regelmassig sich und seine Produkte neu erfinden kann. Doch gleichzeitig scheitern die meisten Innovationsprojekte. Der Grund: Zu lange Entwicklungszeiten, uberzogene Kosten oder heroischer Aktionismus am Projektende fuhren zu technisch nicht ausgereiften Produkten, die…
Inter‐institutional collaboration for new integrative teaching programs
Purpose This paper presents an inter‐institutional collaboration project. The project's goal was to develop a new teaching program that fosters pre‐university innovation and entrepreneurship education. The purpose of this paper is to derive implications for future inter‐institutional collaborations. Design/methodology/approach The development and testing of the new teaching program corresponds to the design science paradigm. Findings The findings…
Praxiswissen Innovationsmanagement
Coordination mechanisms for international innovation in SMEs
Patentmanagement
Digitale Transformation gestalten
Artificial intelligence and innovation management
Artificial Intelligence (AI) reshapes companies and how innovation management is organized. Consistent with rapid technological development and the replacement of human organization, AI may indeed compel management to rethink a company's entire innovation process. In response, we review and explore the implications for future innovation management. Using ideas from the Carnegie School and the behavioral theory of the firm, we review the implicati…
Digitale Transformation gestalten
Digitale Transformation gestalten
Implementing and scaling artificial intelligence
Artificial intelligence (AI) will have a substantial impact on firms in virtually all industries. Without guidance on how to implement and scale AI, companies will be outcompeted by the next generation of highly innovative and competitive companies that manage to incorporate AI into their operations. Research shows that competition is fierce and that there is a lack of frameworks to implement and scale AI successfully. This study begins to addres…
Less trust, more truth
Business model literature, while insightful, primarily focuses on the Internet and Web 2.0 contexts. The emergence of pioneering digital technologies, especially the Web3 anchored by blockchain, necessitates reevaluating business model paradigms, particularly those of platform business models within related ecosystems. This study delves into blockchain's unique affordances, investigating how they mold novel Web3 business model patterns and integr…
Computer Science (9 works) · Innovation, Technology, and Society (6 works) · Knowledge management (6 works) · Business (4 works) · Innovation and Knowledge Management (4 works) · Political science (4 works) · Digital Innovation in Industries (3 works) · Marketing (3 works) · Psychology (3 works) · Big Data and Business Intelligence (2 works)