1,721,034 research outputs found
Physics-based modelling for a closed form solution for flow angle estimation
No full textModel-based, data-driven and physics-based approaches represent the state-of-the-art techniques to estimate the aircraft flow angles, angle-of-attack and angle-of-sideslip, in avionics. Thanks to sensor fusion techniques, a synthetic sensor is able to provide estimation of flow angles without any dedicated physical sensors. The work deals with a physics-based scheme derived from flight mechanic theory that leads to a nonlinear flow angle model. Even though several solvers can be adopted, nonlinear models can be replaced with less accurate but straightforward ones in practical applications. The present work proposes a linearisation to obtain the flow angles' closed form solution that is verified using a flight simulator. The main objective of the paper, in fact, is to analyse the estimation degradation using the proposed closed form solutions with respect to the nonlinear scheme. Moreover, flight conditions, where the proposed closed form solutions are not applicable, are identified
Managing positional innovation in small food enterprises. The bakery industry
No full textPurpose The concept of positional innovation - as one of the four innovation types of the Francis and Bessant's "4P's" model - is an effective product innovation strategy for producers of mature and credence goods as food products are. Despite the acknowledgement as one of the major industries worldwide, positional innovations about the food products are underexplored in the managerial literature. To fill this gap, this paper first develops a theoretical analysis of the concepts. Then, by adopting a case-study research methodology, it discloses the way a bakery small enterprise manages positional innovation. Theoretical and practical implications are finally introduced and discussed. Design/methodology/approach After a literature review about the role and the characteristics of the positional innovation, the paper presents a case study of definition and implementation of managerial actions and initiatives driven by positional innovation. The aim is not to report on an inductive study, but to use this example as a picture to clarify theory and show how the various conceptual issues may be operatively applied and provide more contextual insights. Findings It emerges how a small food enterprise manages positional innovation to survive and compete in the national and international markets; the positional innovation sources are tapped into culture, social responsibility, tradition and other territorial assets of tangible and intangible nature, effectively combined to innovate the product perception and/or the utility in a use context. Originality/value "Non-technological", simple products, like food, are underexplored and rarely seen as relevant context to investigate along the strategic and innovation management literature. Nonetheless, positional innovation is a perspective that values and credits the innovation efforts of small food products, revealing interesting managerial concepts and inspiring entrepreneurs and managers for activating and sustaining new strategies of innovation for their businesses
The role of the Technology Districts (TDs) for the regional development: background, performance indicators, policy implications
No full textThe global economy is changing at an unprecedented rate: science, technology, knowledge and innovation are at the hearth of these transformations, not only because technology is itself a key driver of globalization, but also because national and regional systems will increasingly derive their competitive edge from the speed with which they are able to innovate. In order to create major attractiveness as a location for research, science and innovation, recently different national and regional systems have decided to build a new strategy to face the global challenge based on the creation of specific and right “ecosystems” able to connect world-class science base, advanced knowledge and business. Accordingly, the design and the creation of “technology districts” (TDs) are emerged as key-levers to activate and support new knowledge-based development paths for national and local systems. The aims of this paper are to briefly analyze the main features of the TDs and their role into regional development dynamics, and then to adopt the Performance Prism (Neely et al,, 2002) as a conceptual framework addressing the definition of TDs performance indicators. The paper ends underlining that the decision to adopt a specific set of the proposed indicators is strongly linked to the strategic planning and to the governance structure of the TD
Technological Districts (TDs) performances and impact on a smart growth: the role of business, institutional and geographical patterns - A scheme of analysis and a research agenda for the Italian context, Proceedings of the VIII International Forum on Knowledge Assets Dynamics (IFKAD 2013) “Smart Growth: Organizations, Cities and Communities
No full textManaging knowledge assets in a complex business landscape: the relevance of the emotive knowledge
No full textIn today’s complex business landscape it is critical to identify and understand
what are the knowledge-based value drivers affecting business value creation.
This paper focuses on the relevance of the emotive knowledge as a key
knowledge asset shaping organisational capabilities of 21st century organisations.
The concept of emotive knowledge is analysed in accordance with a
twofold perspective. On the one hand, it is considered as a driver of people’s
engagement, and on the other it is viewed as a key factor affecting the creation
of intangible value to be incorporated into organisational infrastructures and
products
Linking Business Model Mapping and Innovation with Intellectual Capital in technological start-ups
No full textIn the last decades, academic and managerial literatures have paid great attention by about the notion of the business model (BM). Accordingly, a wide range of literature was created to identify and acknowledge the capacity to create and renew organizational BM as one of the fundamental sources of competitiveness and value creation. However, until now, the notion and application of business model innovation (BMI) research has mostly been developed in relation to large companies and organizations. Very limited studies have explored what and how context-specific characteristics and knowledge asset management may have effects on BM development and organizations’ sustainability. This latter aspect is particularly true for technological start-ups. Until now, research and managerial practice have been not aligned with national and international policies’ great emphasis on technological start-ups, as well as about the role of the BMI to support organizational performance improvement and stimulate entrepreneurship. From this perspective, technological start-ups represent an interesting basis for analyzing business model mapping and BMI along a knowledge-based perspective. The creation, survival, development, and market success of such organizations are mainly based on the identification, acquisition, and exploitation of their knowledge-based assets. Therefore, it can be relevant to study and analyze how such knowledge assets significantly drive organizational performance and value creation by leveraging innovative technology breakthroughs, highly qualified and distinctive competencies, and implicit knowledge embedded into valuable networks of relationships.
Based on a set of theoretical assumptions and some first empirical insights, this chapter aims to link the notions and the tools of business model (BM) mapping and business model innovation (BMI) with intellectual capital (IC) management issues. It provides a set of empirical cases of common and different patterns that technological start-ups follow for innovating their BM by leveraging their IC assets, as well as the enabling conditions that may support and sustain the overall process. The study relies on exploratory research based on analysis of three case studies with data gathered through personal interviews with the companies’ founders
Multi-objective and multi-phase 4d trajectory optimization for climate mitigation-oriented flight planning
Full text linkAviation contribution to global warming and anthropogenic climate change is increasing every year. To reverse this trend, it is crucial to identify greener alternatives to current aviation technologies and paradigms. Research in aircraft operations can provide a swift response to new environmental requirements, being easier to exploit on current fleets. This paper presents the development of a multi-objective and multi-phase 4D trajectory optimization tool to be integrated within a Flight Management System of a commercial aircraft capable of performing 4D trajectory tracking in a Free Route Airspace context. The optimization algorithm is based on a Chebyshev pseudospectral method, adapted to perform a multi-objective optimization with the two objectives being the Direct Operating Cost and the climate cost of a climb-cruise-descent trajectory. The climate cost function applies the Global Warming Potential metric to derive a comprehensive cost index that includes the climate forcing produced by CO2 and non-CO2 emissions, and by the formation of aircraft-induced clouds. The output of the optimization tool is a set of Pareto-optimal 4D trajectories among which the aircraft operator can choose the best solution that satisfies both its economic and environmental goals
Leveraging knowledge management systems for business modelling in technology start-ups: an exploratory study
No full textBusiness model (BM) creation and development for Technological Start-ups (TSs) strongly grounds on knowledge assets. Despite such relevance, it emerges the paucity of research on BM within the knowledge-based research streams, and specifically for TSs that need a proper digital-enabled knowledge management system (KMS) to ensure the effective organisation of their knowledge assets. To investigate such issues, a study on the relationships between BM and knowledge assets grouped by the Intellectual Capital (IC) elements has been carried out by submitting a semi-structured questionnaire to a sample of 52 Italian TSs. Results show that both the foundation and innovation of BM rely mainly on human capital, followed by relational and structural capital. The study identifies also the trajectories that TSs follow to define their BM by leveraging their IC, and the enabling conditions. The paper ends with a discussion about how digital-enabled KMS can support the exploitation of IC for TSs
“The role of the Technological Districts (TDs) as engines for an effective implementation of innovation policies and strategies – The experience of the Italian Energy Technological District (DiTNE) on the Green Energy Sources and Systems (GESSs)”
No full textVerification in Relevant Environment of a Physics-Based Synthetic Sensor for Flow Angle Estimation
Full text linkIn the area of synthetic sensors for flow angle estimation, the present work aims to describe the verification in a relevant environment of a physics-based approach using a dedicated technological demonstrator. The flow angle synthetic solution is based on a model-free, or physics-based, scheme and, therefore, it is applicable to any flying body. The demonstrator also encompasses physical sensors that provide all the necessary inputs to the synthetic sensors to estimate the angle-of-attack and the angle-of-sideslip. The uncertainty budgets of the physical sensors are evaluated to corrupt the flight simulator data with the aim of reproducing a realistic scenario to verify the synthetic sensors. The proposed approach for the flow angle estimation is suitable for modern and future aircraft, such as drones and urban mobility air vehicles. The results presented in this work show that the proposed approach can be effective in relevant scenarios even though some limitations can arise
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