TY - JOUR A1 - Füller, Johann A1 - Hutter, Katja A1 - Wahl, Julian A1 - Bilgram, Volker A1 - Tekic, Zeljko T1 - How AI revolutionizes innovation management – Perceptions and implementation preferences of AI-based innovators JF - Technological Forecasting and Social Change N2 - The application of AI is expected to enable new opportunities for innovation management and reshape innovation practice in organizations. Our exploratory study among 150 AI-savvy innovation managers reveals four different clusters in terms of how organizations may use and implement AI in their innovation management ranging from (1) AI-Frontrunners, (2) AI-Practitioners, and (3) AI-Occasional innovators to (4) Non-AI innovators. The different groups vary not only in their strategy, organizational structure, and skill-building but also in their perceived potential, understanding of the required changes, encountered challenges, and organizational contexts. Our study contributes to a better understanding of the current state of AI-based innovation management, its impact on future innovation practice, and differences in organizations’ AI ambitions and chosen implementation approaches. KW - AI-based innovation management Innovation process Organizational setup Organizational context Cluster analysis Y1 - 2022 U6 - https://doi.org/10.1016/j.techfore.2022.121598 SN - 0040-1625 VL - 178 PB - Elsevier BV ER - TY - JOUR A1 - Füller, Johann A1 - Bilgram, Volker T1 - The moderating effect of personal features on the consequences of an enjoyable co-creation experience JF - Journal of Product & Brand Management N2 - Purpose This study aims to draw a more nuanced picture of the impact of co-creation experience shedding light on the moderating role of consumers’ personal features. Virtual co-creation is considered a viable strategy to develop consumer-centered products in the digital era. As an additional effect, this research highlighted that co-creation experiences may establish beneficial consumer–brand relationships. Design/methodology/approach Using survey data stemming from 727 consumers who virtually engaged in new product development projects, the authors test the hypotheses, applying structural equation modeling. Findings The results of this study show that consumers’ personal features such as novelty seeking and dissatisfaction with existing products moderate the impact of an enjoyable experience on aspects of the consumer–company relationship. Consumers’ dissatisfaction with current product solutions is also found to moderate the relationship between an enjoyable co-creation experience and evoked product interest as well as between product involvement and evoked product interest. The study further substantiates previous findings on the relationship-effects of co-creation and particularly highlight the potential of co-creation experiences for nurturing “imaginary” relationships with the product being co-created significantly prior to market launch. Originality/value Participants in virtual co-creation approaches are widely heterogeneous individuals ranging from customers and Facebook fans to brand community members and innovative users. The study contributes to a better understanding of how the diversity of the crowd can be handled in virtual co-creation and advances the theory of value co-creation as a new marketing paradigm. Y1 - 2017 U6 - https://doi.org/10.1108/JPBM-03-2016-1122 SN - 1061-0421 VL - 26 IS - 4 SP - 386 EP - 401 PB - Emerald ER - TY - JOUR A1 - Hutter, Katja A1 - Füller, Johann A1 - Hautz, Julia A1 - Bilgram, Volker A1 - Matzler, Kurt T1 - Machiavellianism or Morality: Which Behavior Pays Off In Online Innovation Contests? JF - Journal of Management Information Systems N2 - Prior research on user behavior in online innovation contests has mainly focused on factors that positively impact prosocial, collaborative behavior, which should ultimately lead to innovative outcomes. However, little is known about the effects of more negative personal characteristics that might result in more competitive, antisocial, and even unethical behavior. This paper considers Machiavellianism as one of the traits that constitute the “dark triad of personality” and explores the relationship between Machiavellianism and participants’ contribution behavior in online innovation contests. Specifically we investigate how Machiavellian characteristics influence individuals’ contribution intensity, communication, and interaction behavior within the contest community as well as the quality and kind of their contributions. This study relies on multisource individual-level data from a large innovation contest in the field of public transportation. We find that the three dimensions of Machiavellianism—distrust of others, amorality, and desire for status—have very distinct behavioral consequences in the context of online innovation contests. Specifically, the oppositional consequences of amoral manipulation and striving for status on the one hand and showing distrust of others on the other hand concerning contribution quantity and contribution quality are found. This study contributes to a deeper understanding of negative personality traits such as Machiavellianism as powerful predictors of behavior and of success within competitive innovation environments and leads to important managerial implications regarding the design and management of innovation contests. Y1 - 2015 U6 - https://doi.org/10.1080/07421222.2015.1099181 SN - 0742-1222 VL - 32 IS - 3 SP - 197 EP - 228 PB - Informa UK Limited ER - TY - JOUR A1 - Brem, Alexander A1 - Bilgram, Volker T1 - The search for innovative partners in co-creation: Identifying lead users in social media through netnography and crowdsourcing JF - Journal of Engineering and Technology Management N2 - Despite the extensive literature on the benefits of netnography and crowdsourcing for insight and idea generation, little research has been conducted on their practical relevance and application for identifying lead users. We address this gap through an analysis of 24 lead user projects investigating the viability, underlying processes, and main differences of these new search strategies. We argue that both methods justify the significant investments by additionally providing a user-centric basis for subsequent ideation sessions with lead users. Our findings contribute to user innovation literature by demonstrating new ways of identifying these highly valuable users in the social media age. Y1 - 2015 U6 - https://doi.org/10.1016/j.jengtecman.2015.08.004 SN - 0923-4748 VL - 37 SP - 40 EP - 51 PB - Elsevier BV ER - TY - JOUR A1 - Birke, Maja A1 - Bilgram, Volker A1 - Füller, Johann T1 - Spielerisch zur Innovation: Gamification in der gemeinsamen Ideengenerierung und -selektion mit Konsumenten JF - Ideen- und Innovationsmanagement N2 - Co-Creation ist bereits in zahlreichen Unternehmen ein etablierter Ansatz, um externe Akteure in die Neuproduktentwicklung zu integrieren. Eine der Hauptherausforderungen dieser Zusammenarbeit ist die Aktivierung von Konsumenten und die Sicherstellung eines anhaltenden Engagements. Der Erfolg von Co-Creation-Ansätzen hängt deshalb stark davon ab, inwieweit die Teilnahme als herausforderndes und unterhaltsames Erlebnis empfunden wird. Anhand der „Style your Smart“ Co-Creation-Initiative der Marke Smart wird gezeigt, wie Unternehmen gezielt Spielelemente einsetzen können, um Konsumenten sowohl für die Ideengenerierung als auch für die anschließende Ideenselektion zu begeistern. Sogenannte „Gamification“-Ansätze sorgen in Co-Creation-Initiativen nicht nur für eine erhöhte Teilnahmebereitschaft und ein besseres Innovationsergebnis, sondern stärken auch die emotionale Beziehung zwischen Konsumenten und Marken. Y1 - 2012 U6 - https://doi.org/10.37307/j.2198-3151.2012.03.09 SN - 2198-3151 IS - 3 SP - 93 EP - 96 PB - Erich Schmidt Verlag GmbH & Co. KG CY - Berlin ER - TY - GEN A1 - Bilgram, Volker A1 - Füller, Johann T1 - Gamification in unterschiedlichen Disziplinen der Marktforschung Y1 - 2012 ER - TY - GEN A1 - Lakhani, Karim A1 - Füller, Johann A1 - Bilgram, Volker A1 - Friar, Greta T1 - Nivea (A) N2 - The case describes the efforts of Beiersdorf, a worldwide leader in the cosmetics and skin care industries, to generate and commercialize new R&D through open innovation using external crowds and "netnographic" analysis. Beiersdorf, best known for its consumer brand Nivea, has a rigorous R&D process that has led to many successful product launches, but are there areas of customer need that are undervalued by the traditional process? A novel online customer analysis approach suggests untapped opportunities for innovation, but can the company justify a launch based on this new model of research? Y1 - 2014 UR - https://www.hbs.edu/faculty/Pages/item.aspx?num=46019 PB - Harvard Business School Case 614-042 ER - TY - CHAP A1 - Bilgram, Volker A1 - Füller, Johann A1 - Rieder, Birgit T1 - How to be Successful in Co-Creation Research: The Swarovski Innovation Research Community Y1 - 2009 ER - TY - JOUR A1 - Kakatkar, Chinmay A1 - Bilgram, Volker A1 - Füller, Johann T1 - Innovation analytics: Leveraging artificial intelligence in the innovation process JF - Business Horizons N2 - Artificial intelligence (AI) is about imbuing machines with a kind of intelligence that is mainly attributed to humans. Extant literature—coupled with our experiences as practitioners—suggests that while AI may not be ready to completely take over highly creative tasks within the innovation process, it shows promise as a significant support to innovation managers. In this article, we broadly refer to the derivation of computer-enabled, data-driven insights, models, and visualizations within the innovation process as innovation analytics. AI can play a key role in the innovation process by driving multiple aspects of innovation analytics. We present four different case studies of AI in action based on our previous work in the field. We highlight benefits and limitations of using AI in innovation and conclude with strategic implications and additional resources for innovation managers. KW - AI-based innovation management KW - AI-augmented innovation KW - Machine Learning KW - Natural language processing KW - Front-end innovation KW - Innovation process Y1 - 2020 U6 - https://doi.org/10.1016/j.bushor.2019.10.006 SN - 0007-6813 VL - 63 IS - 2 SP - 171 EP - 181 PB - Elsevier BV ER - TY - JOUR A1 - Bilgram, Volker A1 - Füller, Johann T1 - Mit Emotion AI zu erfolgreichen Innovationen JF - Handelsblatt Journal KW - Emotion AI, Innovation Y1 - 2020 PB - Euroforum ER - TY - JOUR A1 - Bilgram, Volker A1 - Füller, Johann A1 - Leitl, Michael T1 - Wie Innovationen Erfolg haben JF - Harvard Business Manager N2 - DAS PROBLEM Viele Innovationsinitiativen mit dem Ziel, Produkte oder Dienstleistungen zu entwickeln, die sich stark vom Kerngeschäft unterscheiden, scheitern. Das liegt meist an mangelnder Vorbereitung. Sechs typische Probleme verhindern den Erfolg radikaler Innovationen. DIE LÖSUNG Die Verantwortlichen für Innovationsinitiativen müssen sich zu Beginn ihrer Arbeit darüber klar werden, welche Rolle das Topmanagement übernimmt und welche Talente, Ressourcen, Führungsmethoden und Innovationsinhalte benötigt werden. Erst wenn diese grundsätzlichen Fragen geklärt sind, haben radikale Innovationen eine Chance. Y1 - 2018 VL - 40 IS - 4 PB - Manager Magazin CY - Hamburg ER - TY - CHAP A1 - Marchuk, Anna A1 - Biel, Stefan A1 - Bilgram, Volker A1 - Worning, Signe T1 - Standing on the Shoulders of Giants BT - Insights and implications from a ‘duel’ between humans and machines Y1 - 2018 UR - https://www.warc.com/content/paywall/article/esomar/standing-on-the-shoulders-of-giants-insights-and-implications-from-a-duel-between-humans-and-machines/en-gb/124391? ER - TY - GEN A1 - Lakhani, Karim A1 - Füller, Johann A1 - Bilgram, Volker A1 - Friar, Greta T1 - Nivea (B) N2 - This supplementary case follows up on an innovative R&D approach by Beiersdorf,a skin care and cosmetics company. The case relates what happened to the product launched by Beiersdorf, to its Nivea line, following the events of the A case, and how the commercial success of the product informed thinking by leaders in R&D for the future. KW - Innovation; Innovation Management; Marketing; Innovation Strategy; Innovation and Management; Research and Development; Product Design; Collaborative Innovation and Invention; Beauty and Cosmetics Industry; Consumer Products Industry Y1 - 2014 UR - https://www.hbs.edu/faculty/Pages/item.aspx?num=46045 IS - Supplement 614-043 PB - Harvard Business School ER - TY - JOUR A1 - Bilgram, Volker A1 - Füller, Johann A1 - Bartl, Michael A1 - Biel, Stefan A1 - Miertsch, Heike T1 - Eine Allianz gegen Flecken JF - Harvard Business Manager N2 - Für die Entwicklung eines neuen Deodorants entschied sich der Kosmetikkonzern Beiersdorf, die Ideen von Konsumenten und die Hilfe externer Experten zu nutzen. Ein Beispiel für gelungene Open Innovation. Y1 - 2011 UR - https://www.econbiz.de/Record/eine-allianz-gegen-flecken-bilgram-volker/10009717241 VL - 35 IS - 3 PB - Manager Magazin CY - Hamburg ER - TY - JOUR A1 - Biel, Stefan A1 - Hahn, Alexander A1 - Bilgram, Volker A1 - Rogers, Helen T1 - From Hybrid to AI-First Innovation Management JF - IEEE Engineering Management Review N2 - The rise of generative Artificial Intelligence (AI) in traditionally human domains of creativity signifies a profound development in product innovation management. In this article, we investigate the evolving role of innovation managers, emphasizing a transition from problem-solving to sense-making and decision-making. Additionally, we delve into organizational strategies for effective AI integration, advocating for systematic experimentation, comprehensive training, and the development of AI-first innovation frameworks for new product development (NPD). Ultimately, we propose a paradigm shift to AI-first creative processes, where AI is not merely an extension but the foundational mechanism of the innovation workflow. KW - Innovation Management KW - Artificial Intelligence KW - Generative AI KW - ChatGPT KW - AI-Augmented Innovation Management KW - New Product Development Y1 - 2025 U6 - https://doi.org/10.1109/EMR.2025.3527744 SN - 0360-8581 SP - 1 EP - 11 PB - Institute of Electrical and Electronics Engineers (IEEE) ER - TY - CHAP A1 - Hahn, Alexander A1 - Hofmann, Rupert A1 - Bilgram, Volker A1 - Schwarz, Jan Oliver A1 - Meinheit, Andreas A1 - Füller, Johann T1 - Easy Rider BT - Die Erschließung der Welt des autonomen Fahrens aus Sicht von Markt und Kunde T2 - Die frühe Phase des Innovationsprozesses N2 - Dieser Beitrag führt anhand eines konkreten Studienbeispiels aus, wie die AUDI AG komplexe zukünftige Entwicklungen wie „autonomes Fahren“ mittels multidisziplinärer Studien analysiert. Die Autoren beschreiben, welche Insight‐ und Foresight‐Methoden dabei zum Einsatz kommen und was eine erfolgreiche Durchführung ausmacht. Dabei gehen sie insbesondere auf das Konzept der Trend Receiver ein. Abschließend geben sie einen Ausblick auf zukünftige Weiterentwicklungen der Vorgehensweise. Y1 - 2016 SN - 9783658097219 U6 - https://doi.org/10.1007/978-3-658-09722-6_5 SP - 75 EP - 98 PB - Springer Fachmedien Wiesbaden CY - Wiesbaden ER - TY - JOUR A1 - Bilgram, Volker T1 - KI - der neue Partner der Innovationsmanager? JF - Handelsblatt KI Business Guide N2 - Viele Unternehmen sehen das größte Potenzial Künstlicher Intelligenz darin, bei standardisierten Prozessen die bislang von Menschen geleistete Arbeit zu übernehmen. Wie KI auch in Innovationsprozessen effektiv eingesetzt werden kann, erklärt Dr. Volker Bilgram, Geschäftsführer der HYVE Innovation Research und Leiter der Artificial Intelligence Initiative bei HYVE The Innovation Company. Y1 - 2019 PB - Euroforum ER - TY - CHAP A1 - Kröper, Madeleine A1 - Bilgram, Volker A1 - Wehlig, Ramona T1 - Empowering Members of a Brand Community to Gain Consumer Insights and Create New Products BT - The Case of the Vorwerk Thermomix Research Community T2 - Strategy and Communication for Innovation N2 - Online Research Communities (ORCs) have ushered marketing research into a new era and are one of the fastest growing segments in the industry. ORCs offer a selected number of consumers a closed online environment in which they interact and co-create with the company not only in “one-off” projects but over an extended period of time. The approach distinguishes itself by the flexibility and diversity of market research methodologies that can be applied. In our case study, we describe the set up, live phase, and post-processing of the Vorwerk Thermomix Research Community. Over the duration of 3 weeks, Thermomix invited customers, who are also registered users of the brand’s official online receipe community, to participate in a moderated ORC. There were two major goals. First, Thermomix wanted to understand consumers’ “cooking journeys,” i.e., learn how they decide what to cook, plan their cooking, buy groceries, etc. Second, Thermomix aimed to co-create with its customers and develop new features and functionalities for the Thermomix recipe community which serves as a central meeting place for cooking enthusiasts and brand fans. In the study, we show how the ORC was designed to answer our research questions and what methodological benefits the method yields. Furthermore, we investigate the user types that contributed to the platform most and provide insights into how to boost activity levels on the platform. In today’s social media context, ORCs are a valuable tool for brands to connect with their customers and engage them in value creating activities. This chapter sheds light on this new research approach and unveils the potential of brand community members for insight generation and co-innovation. Y1 - 2017 U6 - https://doi.org/10.1007/978-3-319-49542-2_24 PB - Springer CY - Cham ER - TY - CHAP A1 - Bilgram, Volker A1 - Bartl, Michael A1 - Hilgers, Dennis T1 - Erfolgsmessung von Crowdsourcing Plattformen zur Ideengenerierung BT - Welchen Wert haben Online Ideenwettbewerbe für Unternehmen? KW - Unternehmen ; Wissensmanagement ; Strategisches Management ; Erfolgsfaktor ; Soziale Software ; World Wide Web 2.0 Y1 - 2011 SN - 978-3-942183-45-1 PB - Gito CY - Berlin ER - TY - JOUR A1 - Bilgram, Volker A1 - Bartl, Michael T1 - Innovation Communities BT - Neue Spielregeln des Ideenmanagements JF - Planung & Analyse N2 - Innovation Communities sind die zentralen Instrumente für die Umsetzung von Open Innovation Vorhaben. Sie sind sowohl eine bewährte Lösung für das abteilungsübergreifende unternehmensinterne Ideenmanagement als auch für die Integration von Konsumenten in den Innovationsprozess. Aus der Erfahrung mit Innovation Communities für Kunden wie Siemens Osram oder Swarovski wird erläutert, wie durch die Kombination von Co-Creation Modulen und Evaluierungstools auf einer Online Plattform mit Community-Funktionalitäten die Innovationskraft von Unternehmen gesteigert werden kann. Y1 - 2009 UR - https://www.econbiz.de/Record/forschung-innovation-communities-neue-spielregeln-des-ideenmanagements-bilgram-volker/10008328137 IS - 5 CY - Frankfurt ER - TY - JOUR A1 - Bilgram, Volker A1 - Cañadas Link, David A1 - Lang-Koetz, Claus T1 - Generative KIs in Kreativprozessen: Praxiserfahrungen aus den ersten Monaten mit ChatGPT & Co. JF - Ideen- und Innovationsmanagement N2 - Generative Künstliche Intelligenz (KI) wie ChatGPT oder MidJourney sind derzeit in aller Munde. Ihre leichte Bedienbarkeit und vielseitigen Einsatzmöglichkeiten revolutionieren die Art wie wir arbeiten – auch oder gerade im Innovationsmanagement. Auf Basis der Praxiserfahrungen aus KI-basierten Design Thinking Workshops werden Erkenntnisse und Empfehlungen für den Einsatz generativer KIs im Kreativprozess abgeleitet. Insbesondere zeigen wir auf, was für eine gelungene Zusammenarbeit von menschlichen Teams und KIs zu beachten ist und wie Teams mit der KI kommunizieren können, um die gewünschten Resultate zu erzielen. Y1 - 2023 U6 - https://doi.org/10.37307/j.2198-3151.2023.01.07 SN - 2198-3151 IS - 1 PB - Erich Schmidt Verlag GmbH & Co. KG ER - TY - CHAP A1 - Marchuk, Anna A1 - Biel, Stefan A1 - Bilgram, Volker A1 - Worning, Signe A1 - Jensen, Løgstrup T1 - The Best of Both Worlds : Methodological Insights on Combining Human and AI Labor in Netnography T2 - Netnography Unlimited : Understanding Technoculture Using Qualitative Social Media Research N2 - Rapidly growing volumes of data create opportunities. For netnographic researchers, they also create challenges. As the amount of data increases, collecting, understanding, and meaningfully combining data can become more difficult. Traditionally, the netnography research process was predominantly in the hands of humans with limited software support. We assert that advances in the field of artificial intelligence and deep learning in particular allow intelligent machines to take over more and more of the steps in netnography. The challenge is to understand what parts of netnography can be performed by machines, what is better accomplished by humans, and how both can outperform any prior approach by working together. In this chapter, we analyzed two HYVE innovation projects conducted with the company Beiersdorf. Both projects had exactly the same briefing. However, one project followed a human-driven insight process, and the other approach relied heavily on the latest technologies in the domain of machine learning. By comparing these two paths, our study reveals a new vision for a Golden Age of cooperation between human and machine netnographers that might exist in the near future of netnographic research. Y1 - 2020 SN - 9781003001430 U6 - https://doi.org/10.4324/9781003001430 PB - Routledge CY - New York, NY ER - TY - CHAP A1 - Jawecki, Gregor A1 - Bilgram, Volker T1 - Open Innovation im Enterprise 2.0 BT - Unternehmensinterne Voraussetzungen zur Einbindung externer Stakeholder in den Innovationsprozess T2 - Enterprise 2.0 - die digitale Revolution der Unternehmenskultur Y1 - 2012 SN - 9783472080152 PB - Hermann Luchterhand ER -