@incollection{HahnHofmannBilgrametal.2016, author = {Hahn, Alexander and Hofmann, Rupert and Bilgram, Volker and Schwarz, Jan Oliver and Meinheit, Andreas and F{\"u}ller, Johann}, title = {Easy Rider}, series = {Die fr{\"u}he Phase des Innovationsprozesses}, booktitle = {Die fr{\"u}he Phase des Innovationsprozesses}, publisher = {Springer Fachmedien Wiesbaden}, address = {Wiesbaden}, isbn = {9783658097219}, doi = {10.1007/978-3-658-09722-6_5}, pages = {75 -- 98}, year = {2016}, abstract = {Dieser Beitrag f{\"u}hrt anhand eines konkreten Studienbeispiels aus, wie die AUDI AG komplexe zuk{\"u}nftige Entwicklungen wie „autonomes Fahren" mittels multidisziplin{\"a}rer Studien analysiert. Die Autoren beschreiben, welche Insight- und Foresight-Methoden dabei zum Einsatz kommen und was eine erfolgreiche Durchf{\"u}hrung ausmacht. Dabei gehen sie insbesondere auf das Konzept der Trend Receiver ein. Abschließend geben sie einen Ausblick auf zuk{\"u}nftige Weiterentwicklungen der Vorgehensweise.}, language = {de} } @article{BilgramHahnFueller2023, author = {Bilgram, Volker and Hahn, Alexander and F{\"u}ller, Johann}, title = {«Golden Crowd»: Engaging the Users that Deliver on Your Crowdsourcing Goals}, series = {Marketing Review St. Gallen}, volume = {39}, journal = {Marketing Review St. Gallen}, number = {6}, publisher = {Thexis Verlag, St. Gallen}, issn = {1865-7516}, pages = {20}, year = {2023}, abstract = {Companies run branded crowdsourcing contests to achieve two main goals: generate ideas and create brand equity. This paper provides an empirical typology of contest users and reveals five distinct user types: jacks-of-all-trades, devoted brand fans, pure innovators, reward seekers and passive customers. Based on the users' characteristics we derive actionable insights on how to attract, recruit and manage the crowd for different purposes.}, language = {en} } @incollection{FuellerGfreiHahnetal.2015, author = {F{\"u}ller, Johann and Gfrei, Bianca and Hahn, Alexander and Koch, Giordano}, title = {Soziale Technologien im Innovationsmanagement}, series = {Zukunft gestalten: Soziale Technologien in Organisationen in Zeiten des demografischen Wandels Wissen - Innovation - Demografie}, booktitle = {Zukunft gestalten: Soziale Technologien in Organisationen in Zeiten des demografischen Wandels Wissen - Innovation - Demografie}, publisher = {AWD Druck + Verlag GmbH}, isbn = {978-3-943024-24-1}, pages = {180-204}, year = {2015}, language = {de} } @techreport{FuellerBilgramWahletal.2022, author = {F{\"u}ller, Johann and Bilgram, Volker and Wahl, Julian and Hutter, Katja}, title = {Autonomous Innovation - How AI is implemented in Innovation Management}, year = {2022}, abstract = {Success stories about the groundbreaking impact of artificial intelligence (AI) technology on business are omnipresent, and the benefits that might emerge for innovation management are the talk of the town. However, managers are still struggling to find the appropriate approach for applying AI in their innovation projects. At this early stage in the age of AI, companies differ in how they leverage the opportunities afforded by AI and seek guidance. Our study among 162 tech-savvy managers highlights the current state of AI usage in innovation management, reveals different implementation patterns, and provides guidance in finding the right approach to increase innovation performance using AI technology. We find that companies follow distinct implementation approaches that differ regarding strategy, organizational setup, capability building, and scaling, which results in three user groups: 39\% of participants consider themselves "AI-Leaders", the most progressive group when it comes to dealing with the technology and breaking ground in AI-driven innovation management. 30\% belong to the "AI-Pragmatists" user group that is ambitious in applying AI, while 31\% are „AI Aspirants" only rarely using AI for their innovation processes. A vast majority of the participants anticipates overall improvements in innovation performance by more than 50\%, as they expect the effectiveness and efficiency of new product development to increase significantly. However, companies still face severe implementation challenges, such as missing data access or a lack of technical expertise. Depending on their individual characteristics, companies should take deliberate strategies to advance in the autonomous innovation game.}, language = {en} } @article{BilgramFuellerKochetal.2012, author = {Bilgram, Volker and F{\"u}ller, Johann and Koch, Giordano and Rapp, Maximilian}, title = {The Potential of Crowdsourcing for Co-Marketing: How Consumers may be Turned into Brand Ambassadors}, series = {Transfer - Werbeforschung und Praxis}, journal = {Transfer - Werbeforschung und Praxis}, number = {4}, pages = {42-48}, year = {2012}, language = {en} }