The Open Innovation in Science research field: a collaborative conceptualisation approach

Openness and collaboration in scientific research are attracting increasing attention from scholars and practitioners alike. However, a common understanding of these phenomena is hindered by disciplinary boundaries and disconnected research streams. We link dispersed knowledge on Open Innovation, Open Science, and related concepts such as Responsible Research and Innovation by proposing a unifying Open Innovation in Science (OIS) Research Framework. This framework captures the antecedents, contingencies, and consequences of open and collaborative practices along the entire process of generating and disseminating scientific insights and translating them into innovation. Moreover, it elucidates individual-, team-, organisation-, field-, and society‐level factors shaping OIS practices. To conceptualise the framework, we employed a collaborative approach involving 47 scholars from multiple disciplines, highlighting both tensions and commonalities between existing approaches. The OIS Research Framework thus serves as a basis for future research, informs policy discussions, and provides guidance to scientists and practitioners

Composing the innovation management symphony-A note on the 2017 ISPIM Innovation Conference in Vienna

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Fast-connecting search practices: On the role of open innovation intermediary to accelerate the absorptive capacity

Firms that engage in distant search activities seek to leverage on external knowledge to innovate. The firms' ability to acquire new knowledge depends on strong search practices and the corresponding absorptive capacity where the latter predefine firms' ability to span out of its core competences area, to follow the open innovation processes. Absorptive capacity is often seen as a precondition for the open innovation success. This research focuses on the cases of open innovation when the absorptive capacity is absent internally and is taken in charge by an open innovation intermediary that is capable to develop the potential absorptive capacity for the firm. Based on an exploratory case study of an intermediary platform that proposes novelty driven search practices ideXlab, our results demonstrate how intermediary can accelerate the absorptive capacity value recognition function and therefore, potentially facilitate further diffusion of knowledge. Implications for open innovation in the distant search contexts are discussed

Portfolio Management in Double Unknown Situations: Technological Platforms and the Role of Cross-Application Managers

This article investigates portfolio management in double unknown situations. Double unknown refers to a situation in which the level of uncertainty is high and both technology and markets are as yet unknown. This situation can be an opportunity for new discoveries, creation of new performance solutions and giving direction to portfolio structuring. The literature highlights that the double unknown situation is a prerequisite to designing generic technologies that are able to address many existing and emerging markets and create value across a broad range of applications. The purpose of this paper is to investigate the initial phases of generic technology governance and associated portfolio structuring in multi‐project firms. We studied three empirical contexts of portfolio structuring at the European semiconductor provider STMicroelectronics. The results demonstrate that (1) portfolio management for generic technologies is highly transversal and comprises creating both modules to address market complementarities and the core element of a technological system the platform, and (2) the design of generic technologies requires cross‐application managers who are able to supervise the interactions among innovative concepts developed in different business and research groups and who are responsible for structuring and managing technological and marketing exploration portfolios within the organizational structures of a company

Accounting, valuing and investing in health care:dealing with outdated accounting models

Abstract Purpose: Despite major progress made in improving the health and well-being of millions of people, more efforts are needed for investment in 21st century health care. However, public hospital waiting lists continue to grow. At the same time, there has been increased investment in e-health and digital interventions to enhance population health and reduce hospital admissions. The purpose of this study is to highlight the accounting challenges associated with measuring, investing and accounting for value in this setting. The authors argue that this requires more nuanced performance metrics that effect a shift from a technical practice to one that embraces social and moral values. Design/methodology/approach: This research is based on field interviews held with clinicians, accountants and administrators in public hospitals throughout Australia and Europe. The field research and multidisciplinary narratives offer insights and issues relating to value and valuing and managing digital health investment decisions for the post-COVID-19 “value-based health-care” future of accounting in the hospital setting. Findings: The authors find that the complex activity-based hospital funding models operate as a black box, with limited clinician understanding and hybridised accounting expertise for informed social, moral and ethical decision-making. While there is malleability of the health economics-derived activity-based hospital funding models, value contestation and conflict are evident in the operationalisation of these models in practice. Activity-based funding (ABF) mechanisms reward patient throughput volumes in hospitals but at the same time stymie investment in digital health. Although classified as strategic investments, there is a limit to strategic planning. Research limitations/implications: Accounting in public hospitals has become increasingly visible and contested during the pandemic-driven health-care crisis. Further research is required to examine the hybridising accounting expertise as it is increasingly implicated in the incremental changes to ABF in the emergence of value-based health care and associated digital health investment strategies. Despite operationalising these health economic models in practice, accountants are currently being blamed for dysfunctional health-care decisions. Further education for practicing accountants is required to effect operational change. This includes education on the significant moral and ethical dilemmas that result from accounting for patient mix choices in public hospital service provision. Originality/value: This research involved a multidisciplinary team from accounting, digital health, information systems, value-based health care and clinical expertise. Unique insights on the move to digital health care are provided. This study contributes to policy development and the limited value-based health-care literature in accounting

DESIGNING DECISIONS IN THE UNKNOWN: TOWARDS A GENERATIVE DECISION MODEL FOR MANAGEMENT SCIENCE

International audienceThis study examines how design theory enables us to extend decision-making logic to the "unknown," which often appears as the strange territory beyond the rationality of the decision-maker. We contribute to the foundations of management by making the unknown an actionable notion for the decision-maker. To this end, we build on the pioneering works in "managing in the unknown" and on design theory to systematically characterize rational forms of action to structure the exploration of the unknown from a decision-making perspective. We show that action consists of designing decisions in the unknown and can be organized on the basis of the notion of a "decision-driven design path," which is not yet a decision but helps to organize the generation of a better decision-making situation. Our decision-design model allows us to identify four archetypes of decision-driven design paths. Two involve generating "wishful decisions," either by improvement or by genericity, while the other two involve generating "decision-changing states" by generating a "best-choice hacking state" or an "all-decisions hacking state." These archetypes correspond to forms of collective action characterized by a specific strategy of knowledge acquisition, a specific performance, and specific organizations. In particular, they enable us to discuss the variety of known organizational forms that managers can rely on to explore the unknown. Le Masson, P., Hatchuel, A., Le Glatin, M., and Weil, B. (2018). "Designing decisions in the unknown: towards a generative decision model for management science." European Management Review, To be published, pp

Sustainable Business Model Ideation and Development of Early Ideas for Sustainable Business Models: Analyzing a New Tool Facilitating the Ideation Process

This chapter presents an early ideation tool, the Impact Canvas® (IC), that has been specifically designed to involve different kinds of stakeholders in the early stages of the business and research ideation process. The authors discuss how a tool can support the ideation process and how the IC tool has been designed to incorporate different elements for the development of sustainable and impactful ideas. The usefulness of the tool when cooperating in a multidisciplinary team is described. The authors report feedback from users of the tool that supports the perception of the user-friendliness and usefulness of the tool. The chapter concludes with a description of how the IC tool is being further developed to support a more multidisciplinary approach to research and business ideation.acceptedVersionPeer reviewe

Design theory: a foundation of a new paradigm for design science and engineering

International audienceIn recent years, the works on Design Theory (and particularly the works of the Design Theory SIG of the Design Society) have contributed to reconstruct the science of design, comparable in its structure, foundations and impact to Decision Theory, Optimization or Game Theory in their time. These works have reconstructed historical roots and the evolution of design theory, conceptualized the field at a high level of generality and uncovered theoretical foundations, in particular the logic of generativity, the " design-oriented " structures of knowledge, and the logic of design spaces. These results give the academic field of engineering design an ecology of scientific objects and models, which allows for expanding the scope of engineering education and design courses. They have contributed to a paradigm shift in the organization of R&D departments, supporting the development of new methods and processes in innovation departments, and to establishing new models for development projects. Emerging from the field of engineering design, design theory development has now a growing impact in many disciplines and academic communities. The research community may play significant role in addressing contemporary challenges if it brings the insights and applicability of Design Theory to open new ways of thinking in the developing and developed world