Attention to Exploration: The Effect of Academic Entrepreneurship on the Production of Scientific Knowledge

We study how becoming an entrepreneur affects academic scientists' research. We propose that entrepreneurship will shift scientists' attention away from intradisciplinary research questions and toward new bodies of knowledge relevant for downstream technology development. This will propel scientists to engage in exploration, meaning they work on topics new to them. In turn, this shift toward exploration will enhance the impact of the entrepreneurial scientist's subsequent research, as concepts and models from other bodies of knowledge are combined in novel ways. Entrepreneurship leads to more impactful research, mediated by exploration. Using panel data on the full population of scientists at a large research university, we find support for this argument. Our study is novel in that it identifies a shift of attention as the mechanism underpinning the beneficial spillover effects from founding a venture on the production of public science. A key implication of our study is that commercial work by academics can drive fundamental advances in science

Are public subsidies effective for university spinoffs? Evidence from SBIR awards in the University of California system

This study examines the impact of public subsidies, and specifically, Small Business Innovation Research (SBIR) awards on university spinoff companies. Using unique data for a population of University of California spinoffs, we find pronounced differences between companies commercializing digital technologies (software and hardware), and those that focus on other product spaces. For digital spinoffs, receiving an SBIR award has a negative impact on raising venture capital and no impact on IPOs, exits or first sales. Conversely, for non-digital firms (e.g., biotechnology, energy), receiving an SBIR award has a positive effect on raising venture capital and performance outcomes. We reason that digital technologies are subject to faster cycle times and higher market uncertainty, relative to technological uncertainty. Digital firms may therefore benefit less from subsidies designed to support technology development, and private investors may view the need of digital companies to obtain such subsidies as a negative certification. Our findings inform policy by suggesting that the industrial domain may be an important boundary condition for the effectiveness of SBIR-type subsidies for university spinoffs

Business Model Innovation: How Iconic Business Models Emerge

Despite ample research on the topic of business model innovation, little is known about the cognitive processes whereby some innovative business models gain the status of iconic representations of particular types of firms. This study addresses the question: How do iconic business models emerge? In other words: How do innovative business models become prototypical exemplars for new categories of firms? We focus on the case of Airbnb, and analyze how six mainstream business media publications discussed Airbnb between 2008 and 2013. The cognitive process whereby Airbnb’s business model became the iconic business model for the sharing economy involved three phases. First, these publications drew on multiple analogies to try to assimilate Airbnb’s innovative business model into their existing system of categories. Second, they developed a more nuanced understanding of Airbnb’s business model. Finally, they established it as the prototypical exemplar of a new type of organization. We contribute to business model research by providing an elaborated definition of the notion of the iconic business model which is rooted in social categorization research, and by theorizing the cognitive process that underpins the emergence of iconic business models. Our study also complements research on the role of analogical reasoning in business model innovation. Finally, we complement the market categorization literature by documenting a case of the emergence of a prototypical exemplar

Business models: A challenging agenda

Most research on business models lies in the literature on strategy and competitive advantage and focuses on their role as descriptors of actual phenomenon, often by reference to taxonomic categories. In this article, we explore how business models can be seen as a set of cognitive configurations that can be manipulable in the minds of managers (and academics). By proposing a typology of business models that emphasizes the connecting of traditional value chain descriptors with how customers are identified and satisfied, and how the firm monetizes its value, we explore how business model configurations can extend current work on cognitive categorization and open up new possibilities for organization research

Nasal IL-13 production identifies patients with late phase allergic responses

BACKGROUND: There is limited knowledge on how local cytokine secretion patterns after nasal allergen challenge correlate with clinical symptoms especially with regards to the "late allergic response" (LAR) which occurs in approximately 40-50% of allergic patients. OBJECTIVE: In this study we aimed to characterise the immunological and clinical nasal responses to birch pollen allergen challenge with a special focus on the LAR. METHODS: In this randomised double-blinded placebo-control trial, birch pollen allergic participants were challenged with pollen extract (n=20) or placebo (n=10) on three consecutive days. On days one and three nasal secretions were collected at selected time points over a 24h time course for the measurement of 33 inflammatory mediators. Clinical responses were determined through subjective symptom scores and objective nasal airflow measurements. RESULTS: Provoked participants had significantly greater clinical responses and showed significant increases in tryptase and sST2 within minutes compared to placebo. Eight out of 20 provoked participants displayed high IL-13 levels 2-8 hours after allergen provocation. This group also showed significant changes in clinical parameters, with a secondary drop in nasal airflow measured by peak nasal inspiratory flow and increased symptoms of nasal obstruction which significantly differed from IL-13 non responders at 6 hours. CONCLUSION: IL-13 response status correlates with cytokine and clinical responses in the late phase after allergen provocation

Machina ex Deus? From Distributed to Orchestrated Agency

In this chapter, the author draws on a historical case study of the Australian wine industry to explore variations in collective agency. The inductively derived process model illustrates the emergence of a new profession of scientific win- emaking, which unfolds in three phases. Each phase is characterized by a dis- tinct form of agency: distributed agency during the earliest phase, coordinated agency during later phases, and orchestrated agency during consolidation. In addition to exploring the temporal shifts in agency, the study includes a detailed analysis of the early stages of distributed agency, examining how col- lective agency is achieved in the absence of shared intentions

University–industry collaboration: using meta-rules to overcome barriers to knowledge transfer

This is the final version of the article. Available from Springer Verlag via the DOI in this record.University–industry knowledge transfer is an important source wealth of creation for all partners; however, the practical management of this activity within universities is often hampered by procedural rigidity either through the absence of decision-making protocols to reconcile conflicting priorities or through the inconsistent implementation of existing policies. This is problematic, since it can impede operational effectiveness, prevent inter-organisational knowledge-creation and hamper organisational learning. This paper addresses this issue by adopting a cross-discipline approach and presenting meta-rules as a solution to aid organisational decision making. It is proposed that meta-rules can help resolve tensions arising from conflicting priorities between academics, knowledge transfer offices and industry and help facilitate strategic alignment of processes and policies within and between organisations. This research contributes to the growing debate on the strategic challenges of managing knowledge transfer and presents meta-rules as a practical solution to facilitate strategic alignment of internal and external stakeholder tensions. Meta-rules has previously only been applied in a computer intelligence context however, this research proves the efficacy of meta rules in a university–industry knowledge transfer context. This research also has practical implications for knowledge transfer office managers who can use meta-rules to help overcome resource limitations, conflicting priorities and goals of diverse internal and external stakeholders

Fishing for complementarities : competitive research funding and research productivity

This paper empirically investigates complementarities between different sources of research funding with regard to academic publishing. We find for a sample of UK engineering academics that competitive funding is associated with an increase in ex-post publications but that industry funding decreases the marginal utility of public funding by lowering the publication and citation rate increases associated with public grants. However, when holding all other explanatory variables at their mean, the negative effect of the interaction does not translate into an effective decrease in publication and citation numbers. The paper also shows that the positive effect of public funding is driven by UK research council and charity grants and that EU funding has no significant effect on publication outcomes