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Journal articleMurtinu S, Park HD, Tucci CL, et al., 2027, , Journal of Business Venturing, Vol: 42, ISSN: 0883-9026
Rapid technological advances in artificial intelligence and other digital technologies play a critical role in enabling established organizations to venture into new entrepreneurial opportunities. These advances present new challenges for corporate venturing (CV): how to organize, transfer information, and execute venturing activities as existing organizational structures and competencies become obsolete. This article introduces a framework for understanding how digital technologies reshape knowledge search in CV contexts under varying levels of environmental complexity, and proposes a typology of human-machine configurations that serves as a diagnostic tool for assessing the degree of machine autonomy in CV decisions. It further explores the opportunities and unintended consequences of these evolving digital venturing practices.
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Journal articleZamparini A, Stigliani I, Corley K, 2026,
How brokers enable collective identity formation in fragmented industry groups: the case of Franciacorta wineries
, Journal of Management Studies, ISSN: 0022-2380This study illuminates the role of brokers, i.e., actors spanning inter-organizational boundaries, in the process of collective identity formation in fragmented industry groups. Through an in-depth longitudinal analysis of the Franciacorta wineries from the 1960s to the 1990s, we uncover how technical consultants acting as brokers facilitated collective identity formation by interacting with wineries through three mechanisms: translation, cross-pollination, and integration. Our grounded model of collective identity formation reveals a distributed and co-creative pathway to cohesive identity understandings built from the interstices of fragmented industry groups, through the co-creation of practices, the weaving of social connections, and the facilitation of an optimally distinctive collective identity via inward adaptation and outward alignment between broader industry domains and local contexts. Our study advances theory by foregrounding the more inconspicuous practice-level and social work that precedes, and ultimately determines the success of, the more visible identity-defining moments that happen via symbolic representation or institutional codification.
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Journal articleRoche M, Choudhury P, Larson B, et al., 2026, , Industry and Innovation, ISSN: 1366-2716
Do organisations need mandatory return-to-office policies to foster creativity and innovation? This article evaluates that question through a balance synthesis of arguments presented in a live debate at the 2025 DRUID conference. The argument in favour of office mandates highlights that sustained and predictable patterns of co-presence enable the knowledge spillovers, tacit knowledge exchange, serendipitous encounters, intimate co-creation, and cultural cohesion that are critical to creativity and innovation. The case against such mandates stresses their potential costs, including reduced autonomy, psychological reactance, weaker motivation, homophily, and the risk of mistaking presence for effective collaboration, especially given the growth of distributed innovation and given that remote work allows firms to tap into distant talent. Our collective assessment is that co-presence clearly matters for creative and innovative work. The evidence presented during the debate does not clearly support the stronger claim that the threshold must be a majority of working time, or that the policy instrument must be a mandate. We conclude that the key challenge is not simply where people work, but how organisations facilitate interaction and collaboration across modes of work.
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Journal articleGualtieri G, Dalpiaz E, Hampel C, 2026, , Innovation, ISSN: 1447-9338
Innovations such as AI are the subject of much hype in society. Burgeoning scholarship on hype and entrepreneurship has focused on the sustained high expectations and excitement that hyped innovations attract. This essay reorients extant scholarship by uncovering an unexplored phenomenon: the moral polarisation that regularly accompanies hyped innovations from the outset. We articulate how the emergence of hyped innovations triggers polarised moral views in society as audiences disagree about the innovation’s moral, rather than pragmatic, value, and what challenges this presents for the proponents of hyped innovations. We argue that this dynamic may emerge as the visibility generated by hype moves an innovation’s evaluation beyond experts to audiences relying on conflicting sources, while its framing as highly consequential shifts that evaluation from the technical plane to the moral one. Under these conditions, opposing views may harden into mutually delegitimising camps rather than mere differences of opinion. We illustrate this through the case of 5G technology, a hyped innovation that faced celebration and condemnation at once. Our essay outlines four promising research opportunities about the important topics of how moral polarisation emerges alongside hype, how innovative companies may navigate it, how processes of depolarisation unfold, and how individuals associated with hyped innovations experience the micro-dynamics of this morally charged situation.
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Journal articleLiu H, Wiesemann W, Yue M-C, 2026, , Operations Research, ISSN: 0030-364X
Factored Markov decision processes (MDPs) are a prominent paradigm within the artificial intelligence community for modeling and solving large-scale MDPs whose rewards and dynamics decompose into smaller, loosely interacting components. Through the use of value function approximations, dynamic Bayesian networks and context-specific independence, factored MDPs can achieve an exponential reduction in the state space of an MDP and thus scale to problem sizes that are beyond the reach of classical MDP algorithms. However, factored MDPs are typically solved using custom-designed algorithms that can require meticulous implementationsand considerable fine-tuning. In this paper, we propose a mathematical programming approach to solving factored MDPs. Unlike existing solution schemes, our approach leverages off-the-shelf solvers, which enables streamlined implementation and maintenance. Moreover, we exploit the factored structure in both state and action spaces, and we employ feature representations to unify existing methods while taking advantage of context-specific independence in problem classes that other approaches cannot solve efficiently. To further enhance scalability, we introduce a feature learning scheme that automatically identifies informative features and a dynamic basisapproximation scheme that adaptively refines our value function approximations. Our numerical experiments demonstrate the potential of our approach.
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Journal articleDell'Era C, Candi M, Magistretti S, et al., 2026, , Journal of Business Research, Vol: 212, ISSN: 0148-2963
In an era of rapid technological advancement and evolving user expectations, the paradox of choice, whereby more options reduce satisfaction, increase anxiety, and trigger decision paralysis, creates distinctive challenges for innovation. This study examines the relationship between problem-space design thinking practices, innovation radicalness, and the moderating role of data technology adoption. Analyzing survey data from Europe and the US, we find that empathy-driven, human-centered approaches significantly contribute to innovation radicalness. Reframe practices are also positively associated with innovation radicalness, whereas frame practices are not. The adoption of data technologies, although not directly related to innovation radicalness, accentuates the impact of observe and notice practices. Our findings contribute to the discourse on problemistic search by highlighting the role of empathy and reframing in challenging cognitive frames and assumptions. While data technologies, such as big data analytics, the internet of things, and artificial intelligence, can complement observe and notice practices by improving the collection of user insights, they prove less effective in supporting reframe practices for achieving innovation radicalness.
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Journal articleDÃaz-Faes AA, D'Este P, ter Wal A, 2026, , PLoS ONE, Vol: 21, ISSN: 1932-6203
Extant research shows that knowledge networks with a greater diversity of participants and richer in structural holes are more conducive to advancing science and innovation. However, research on network structure and network composition tends to overlook how actors might best utilize their connections. In this study, we seek to unpack the variation in how individuals leverage the opportunities afforded by their networks, focusing on the scientific knowledge production process. Given the uncertainty faced by scientists during the different stages of the research process, we argue that network hedging – consulting multiple individuals for the same resource need – rather than network compartmentalization – turning to a particular network contact for a specific resource need – increases the likelihood of research findings with greater scientific impact. By analyzing granular data on the network mobilization decisions and scientific outputs for a sample of biomedical scientists, we find support for our prediction that network hedging is positively associated with the production of high-impact scientific output, and that this effect is manifest beyond the benefits of being embedded in more diverse or sparser networks.
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Journal articleTer Wal ALJ, Little LM, Grimes MG, et al., 2026, , Academy of Management Journal, Vol: 69, Pages: 441-454, ISSN: 0001-4273
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Journal articleHarutyunyan M, Koca E, 2026, , Management Science, Vol: 72, Pages: 4569-5489, ISSN: 0025-1909
In player-versus-player video games, players' natural desire to win and avoid losing has created an opportunity for game developers to sell ``pay-to-win'' add-ons, digital items that give buyers a competitive advantage against other players. In this paper, we investigate the pricing and design of a pay-to-win add-on, its effect on the base game and profit implications for the developer. When a large share of the players is less price sensitive and highly willing to buy the pay-to-win add-on, we find that, surprisingly, the developer may prefer not to introduce it. Further, when it is optimal to sell the add-on, the developer designs it to be less (more) powerful in games where players are highly (moderately) sensitive to losing. In practice, the developer may design rewards or penalties in the game to influence players' sensitivities to winning and losing, respectively. Our findings suggest that when selling a pay-to-win add-on, the developer ideally prefers players' loss-sensitivity to be neither too high nor too low, whereas high win-sensitivity tends to benefit the developer. The introduction of a pay-to-win add-on influences the optimal pricing and design of the base game. In particular, the developer decreases the base game price and may even sell it as a freemium. Despite the price reduction, investment in game quality may actually increase. From the players' perspective, our analysis shows that the introduction of a pay-to-win add-on can actually improve player surplus.In an extension of our core model, we show that the developer may prefer to customize player-to-player matching probabilities based on ownership of the pay-to-win add-on, making players who own it more likely to be matched against non-owners. However, such customization is not always optimal, and under some market conditions, the developer may optimally abstain from customizing matching probabilities. In another extension, we show that the developer may benefit from setting a negative price for
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Journal articleCollet K, Li B, Wiesemann W, et al., 2026,
A retrospective cohort study mapping real‑world psychosis care pathways and guideline adherence using integrated electronic health records
, BMJ Connections Mental HealthObjectives: To develop a systematic, data-driven approach to map patient journeys and apply this to care pathways, assessing alignment with published guidance and highlighting potential areas to improve service delivery, using the case study of first diagnosis of psychosis. Design: Using document review, an idealised patient journey was developed. Event data were extracted from electronic health records using a systematic process to map real-world patient journeys across care settings. Setting: North West London’s de-identified integrated care records system (Discover). Participants: 3,219 (mean age 37 years; 55% men) adult patients (18 to 64) registered in North West London in December 2024, with a first episode of psychosis recorded between 2016 and 2019. Main outcomes: Mapping full patient journeys, including care transitions and service contacts (i.e. psychiatric admissions, EIP involvement, and GP management). Comparison of real‑world pathways against NICE guidelines. Results: Case identification yielded demographic trends comparable with national and local level data. Two-thirds of cases had their diagnosis first recorded in primary care, with many already attending secondary care services (i.e. records may not reflect where diagnosis was clinically established). Only 18% had a clearly identifiable record of an early intervention in psychosis (EIP) service, and the recorded duration of EIP involvement varied widely. Psychiatric admission, readmission, and use of crisis and emergency services were frequent. A large proportion of patient records showed no recorded healthcare contact within either 30 days or 6 months following the index admission. The patient journey models highlighted the complexity and heterogeneity of psychosis care and were difficult to manage and visualise using available models (process maps and matrices). Conclusions: Real-world patient journeys in psychosis, as represented in electronic medical records, appear to diverge widely f
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