What kind of intimacy is meaningful to you? How intimate interactions foster individuals' sensemaking of innovation

This study examines how intimacy affects individuals' sensemaking of innovation in their organization. Although sensemaking facilitates understanding innovation and envisioning new worldviews, it involves a delicate process of self-disclosure, reflection, personal contact and communication. Intimacy focuses on time-bounded interactions that foster individuals' progressive self-disclosure and perceptions of mutual understanding. Therefore, drawing on intimacy theories, we investigate from a microlevel perspective how temporally bounded intimate interactions foster the meaningfulness of innovation for individuals. As sensemaking processes differ in large-scale radical and incremental innovations, we examine both contexts in a post hoc analysis. Through a field study, we show that different intimacy dynamics (emotional, cognitive and listening) influence meaningfulness perceptions. In particular, we find that the emotional intimacy dynamics positively influence meaningfulness perceptions in the context of radical innovation initiatives, while the cognitive and listening intimacy dynamics positively influence meaningfulness perceptions in the context of incremental innovation initiatives. This study contributes to the sensemaking innovation literature by introducing intimacy as an enabler of sensemaking. Our study also suggests that managers should encourage moments of intimate interaction when pursuing innovation to facilitate sensemaking of change

Computational modelling of wound healing insights to develop new treatments

About 1% of the population will suffer a severe wound during their life. Thus, it is really important to develop new techniques in order to properly treat these injuries due to the high socioeconomically impact they suppose. Skin substitutes and pressure based therapies are currently the most promising techniques to heal these injuries. Nevertheless, we are still far from finding a definitive skin substitute for the treatment of all chronic wounds. As a first step in developing new tissue engineering tools and treatment techniques for wound healing, in silico models could help in understanding the mechanisms and factors implicated in wound healing. Here, we review mathematical models of wound healing. These models include different tissue and cell types involved in healing, as well as biochemical and mechanical factors which determine this process. Special attention is paid to the contraction mechanism of cells as an answer to the tissue mechanical state. Other cell processes such as differentiation and proliferation are also included in the models together with extracellular matrix production. The results obtained show the dependency of the success of wound healing on tissue composition and the importance of the different biomechanical and biochemical factors. This could help to individuate the adequate concentration of growth factors to accelerate healing and also the best mechanical properties of the new skin substitute depending on the wound location in the body and its size and shape. Thus, the feedback loop of computational models, experimental works and tissue engineering could help to identify the key features in the design of new treatments to heal severe wounds

Constitutive modelling of skin ageing

The objective of this chapter is to review the main biomechanical and structural aspects associated with both intrinsic and extrinsic skin ageing, and to present potential research avenues to account for these effects in mathematical and computational models of the skin. This will be illustrated through recent work of the authors which provides a basis to those interested in developing mechanistic constitutive models capturing the mechanobiology of skin across the life course

Design Inertia: Designing for life-cycle flexibility in Internet-based services

Managing innovation in rapidly moving environments, such as Internet-based serv- ices, is a major challenge in theory and in practice. Most of the existing literature focuses on the development process as the main area in which innovation takes place. However, in environments where the pace of change of technology and market needs is extremely high, managing service innovations means not only being able to design a good service but also, more importantly, continuously redesigning and adapting the service in order to deal with frequent exogenous changes and oppor- tunities. A high number of innovations therefore must be introduced throughout the entire life cycle of a service. This capability of introducing incremental and radical innovations during the service life cycle (i.e., to adapt a service to contextual changes and opportunities after it has been first released onto the market) at low costs and in the shortest possible time is what is defined here as service life-cycle flexibility. This process of service adaptation and upgrading implies significant challenges that can be traced back to when a service is first conceived and designed. In fact, many decisions made during the first design process (i.e., the choice of a given database environment) involve a low reversibility rate and may reduce the possibility of taking advantage of future unpredictable opportunities, creating what is called inertia toward innovation. In other words, service life-cycle flexibility largely depends on how a service has been first designed. This article analyzes two in-depth case studies of Italian online newspapers and identifies five possible inertia factors that may influence service life-cycle flexibility, namely (1) technological inertia; (2) internal organizational inertia; (3) external organizational inertia; (4) customer inertia toward changes in the service package; and (5) customer inertia toward changes in the service interaction design. These inertia factors are traced back to the service development process in order to suggest design practices that may increase the service life-cycle flexibility

Life-Cycle Flexibility: how to measure and improve the innovative capability in turbulent environments

Managing innovation in rapidly moving environments, such as Interned-based services, is a major challenge for the consolidated theories on product and service development. The innovation management literature identifies flexibility as the right way for coping with these challenges. By increasing the development process flexibility, it is possible to reduce the development time as well as the time and cost needed for last-minute concept changes. But this is not enough. The product or service must also be flexible after it has been released: A life-cycle flexibility (LCF) must be pursued. Focused on the Italian on-line discount brokers industry, this article is a result of a two-staged research process that started with a qualitative explorative phase (i.e., case-study methodology) and ended with a quantitative explorative one (i.e., questionnaire methodology). It identifies three different LCF dimensions —frequency of adaptation, rapidity of adaptation, and quality of adaptation—and it defines a metric for each of them. Subsequently, it identifies five managerial and organizational practices that increase at least one of the three LCF dimensions: (1) to manage the back-end technological competences; (2) to share the front-end technological competences with external suppliers; (3) to utilize open and standard technologies; (4) to have a low formalization of the new service development (NSD) procedures; and (5) to have high formalization of the NSD organization