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Naomi Haefner
Title
Prof. Dr.
Last Name
Haefner
First name
Naomi
Email
naomi.haefner@unisg.ch
ORCID
Phone
+41 71 224 72 32
Now showing
1 - 10 of 10
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PublicationImplementing and scaling artificial intelligence: A review, framework, and research agenda( 2023-10-16)
;Parida, VinitWincent, JoakimArtificial 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 address this gap by providing a systematic review and analysis of different approaches by companies to using AI in their organizations. Based on these experiences, we identify key components of implementing and scaling AI in organizations and propose phases of implementing and scaling AI in firms.Type: journal articleJournal: Technological Forecasting & Social Change -
PublicationArtificial intelligence and innovation management: A review, framework, and research agendaArtificial 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 implications for innovation management of AI technologies and machine learning-based AI systems. We outline a framework showing the extent to which AI can replace humans and explain what is important to consider in making the transformation to the digital organization of innovation. We conclude our study by exploring directions for future research.Type: journal articleJournal: Technological Forecasting and Social ChangeVolume: 162
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PublicationCoordination Mechanisms for International Innovation in SMEs: Effects on Time-To-Market and R&D Task Complexity as a Moderator(Springer Science & Business Media, 2016)As SMEs increasingly internationalize their innovation activities, our study strives to improve our understanding of the coordination mechanisms that SMEs can adopt to orchestrate these activities. Building on the evolutionary theory of organizations, we link three established coordination mechanisms (centralization, formalization, and socialization) to the time-to-market of SMEs' product innovations. We also argue that the complexity of the internationalized R&D tasks moderates the relationship between the three coordination mechanisms and time-to-market. Survey data from 103 SMEs with international innovation activities broadly support our theoretical account. With respect to the main effects, our findings suggest that a high degree of centralization tends to prolong the time-to-market, whereas formalization tends to shorten it. The moderation results further indicate that centralization can become more beneficial when a firm internationalizes highly complex R&D tasks, while formalization tends to become less beneficial with increasing task complexity. Main and moderation effects with respect to socialization are inconclusive. We discuss the implications of these findings for the academic literature and management practice.Type: journal articleJournal: Small Business EconomicsVolume: 46Issue: 2
Scopus© Citations 34 -
PublicationRethinking the Role of Universities in the Future of Work and Learning( 2022-09-05)Rüdiger, FelixType: conference paper
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PublicationIntellectual property protection in the age of self-learning systems: Appropriability issues in artificial intelligenceThis study examines how firms in the autonomous driving industry that pursue artificial intelligence-based innovations attempt to appropriate returns from these innovations. It intends to contribute to the literature on value appropriation from innovation by investigating the extent to which firms can and do keep the key components of AI systems (data set, training approach, and model) private versus publishing them. Using a qualitative research design, we establish that there are regulatory, technical, and enforcement aspects to the components that prompt firms to either protect or publish.Type: conference paper
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PublicationArtificial intelligence and innovation management: A review and research agenda of a realistic appraisal(Academy of Innovation, Entrepreneurship, and Knowledge, 2020-06-24)
;Parida, VinitArtificial 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 explore the implications for future innovation management. Using ideas from the Carnegie School and the Behavioral Theory of the Firm, we review the implications for innovation management of AI technologies and machine learning-based AI systems. We outline a framework showing the extent to which AI can replace humans and explaining what is important to consider in making the transformation to the digital organization of innovation. We also explore directions for future research.Type: conference paper -
PublicationAbsorptive Capacity : Absorbing External Knowledge and Internal Resources(SMS Strategic Management Society, 2015-10-03)Despite being one of the most prominent concepts in the current management literature, our understanding of absorptive capacity (AC) - the ability to assimilate external knowledge - is still limited. Particularly, previous research has assumed away the costs of AC, implicitly claiming that more AC is always better. We develop a fit perspective between levels of AC and external knowledge sourcing (EKS), arguing that firms combining high levels of AC with low levels of EKS bear the costs of building and maintaining AC without recouping these investments. In line with our theoretical arguments, empirical evidence on 175 European firms shows that AC yields superior financial performance implications when it is matched by high levels of EKS.Type: conference paper
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PublicationOrganizational Design and Subsidiary-to-Parent Knowledge Transfer in MNCs: The Mediating Role of Parent Firm Attention(SMS Strategic Management Society, 2013-09-30)We offer a theory and empirical test of the relationship between formal organizational architecture and ‘reverse' (i.e. subsidiary-to-parent) knowledge transfers in multinational firms. Building on the attention-based view, seven propositions argue (a) that organizational architecture elements affect the extent to which a focal subsidiary receives attention from the MNC's parent firm, (b) that this extent of parent firm attention affects the extent of reverse knowledge transfers, and (c) that parent firm attention mediates the relationship between organizational architecture elements and reverse knowledge transfers. Testing hypotheses on three aspects of formal organizational design (autonomy, assignment of international responsibilities, and competence-creating objectives in the subsidiary's mission) with a unique sample of about 300 subsidiaries, we find broad support for the theory and highlight implications for academia and practice.Type: conference paper
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PublicationThe dominant logic of Big Tech in healthcare and pharma(Elsevier Science, 2023-02)
;Schuhmacher, Alexander ;Honsberg, Katharina ;Goldhahn, JörgDigital health and digital pharma are considered supportive tools for patients and healthcare providers (HCPs), making the market highly attractive for industry players. Not surprisingly, Tech Giants have started to move into this area. We utilized established management models and publicly available information sources, such as annual company reports, and performed a thorough analysis to uncover the underlying business models of Alphabet, Amazon, Apple, IBM, and Microsoft in order to better understand their intention and process of entering the healthcare and pharma industries. Our results indicate that they do address the needs of patients and physicians, while having built clear value propositions, value chains, and revenue models to sustainably revolutionize the healthcare and pharma industries.Type: forthcomingJournal: Drug Discovery TodayVolume: 28Issue: 2 -
PublicationCase: Future of Universities - Rethinking the Role of Universities(Lemmens Verlags- u.Medienges mbH, 2022)Preparing is high on the agenda: Universities play a crucial role in preparing the ground for the future. They must prepare their students to be collaborative and, therefore, competitive. This requires new skills and, very importantly, a new mindset. Universities must prepare and educate the next generation for huge global challenges.Type: newspaper articleJournal: Wissenschaftsmanagement