Establishing the design knowledge for emerging interaction platforms

While awaiting a variety of innovative interactive products and services to appear in the market in the near future such as interactive tabletops, interactive TVs, public multi-touch walls, and other embedded appliances, this paper calls for preparation for the arrival of such interactive platforms based on their interactivity. We advocate studying, understanding and establishing the foundation for interaction characteristics and affordances and design implications for these platforms which we know will soon emerge and penetrate our everyday lives. We review some of the archetypal interaction platform categories of the future and highlight the current status of the design knowledge-base accumulated to date and the current rate of growth for each of these. We use example designs illustrating design issues and considerations based on the authors’ 12-year experience in pioneering novel applications in various forms and styles

Territorial innovation dynamics: a knowledge based perspective

A great deal of studies has focused on the role played by geographical location on the emergence and the building of localised learning capacities (Maskell, Malmberg, 1999). In this perspective, empirical studies have demonstrated that innovation dynamics of clusters results from the quality of interactions and coordination inside the cluster as well as interactions with external, often global, networks. In this context, knowledge exchange between firms and institutions are claimed to be the main drivers of spatial agglomeration (Canals et al, 2008). Hence, cluster policies have followed the main idea that geographic proximity facilitates collective innovation in so far as firms can capture knowledge externalities more easily. This idea is in fact very attractive but contains some limits (Suire et Vicente, 2007): if some clusters are successful others seem to decline. Therefore, in order to understand the territorial dynamics of clusters, the analysis of the specific nature of knowledge and information flows within a cluster is crucial. The objective of the paper is to enhance the analysis of the role of cognitive and relational dimensions of interactions on territorial dynamics of innovation. We focus on the key sub process of innovation: knowledge creation, which is above all a social process based on two key complex social mechanisms: the exchange and the combination of knowledge (Nahapiet and Goshal, 1996). We suggest building a theoretical framework that hinges on these two key mechanisms. In this perspective, we mobilise Boisot's I-Space model (Boisot, 1998) for the diffusion and exchange of knowledge and suggest completing the model by introducing the concept of architectural knowledge (Henderson and Clark, 1990) so as to take the complexity of the combination process into consideration. This analysis is conducted through the illustrative analysis of three different case studies. We will draw upon the case of Aerospace Valley Pole of Competitiveness (PoC), The Secured Communicating Solutions PoC, and Fabelor Competence Cluster. The cases show that the existence of architectural knowledge is pivotal to territorial innovation.Architectural Knowledge, I-Space Model, Territorial Innovation, Geographical Clusters, Knowledge Management

How can SMEs benefit from big data? Challenges and a path forward

Big data is big news, and large companies in all sectors are making significant advances in their customer relations, product selection and development and consequent profitability through using this valuable commodity. Small and medium enterprises (SMEs) have proved themselves to be slow adopters of the new technology of big data analytics and are in danger of being left behind. In Europe, SMEs are a vital part of the economy, and the challenges they encounter need to be addressed as a matter of urgency. This paper identifies barriers to SME uptake of big data analytics and recognises their complex challenge to all stakeholders, including national and international policy makers, IT, business management and data science communities. The paper proposes a big data maturity model for SMEs as a first step towards an SME roadmap to data analytics. It considers the ‘state-of-the-art’ of IT with respect to usability and usefulness for SMEs and discusses how SMEs can overcome the barriers preventing them from adopting existing solutions. The paper then considers management perspectives and the role of maturity models in enhancing and structuring the adoption of data analytics in an organisation. The history of total quality management is reviewed to inform the core aspects of implanting a new paradigm. The paper concludes with recommendations to help SMEs develop their big data capability and enable them to continue as the engines of European industrial and business success. Copyright © 2016 John Wiley & Sons, Ltd.Peer ReviewedPostprint (author's final draft

HBIM MODELLING FOR AN HISTORICAL URBAN CENTRE

Abstract. The research in the geospatial data structuring and formats interoperability direction is the crucial task for creating a 3D Geodatabase at the urban scale. Both geometric and semantic data structuring should be considered, mainly regarding the interoperability of objects and formats generated outside the geographical space. Current reflections on 3D database generation, based on geospatial data, are mostly related to visualisation issues and context-related application. The purposes and scale of representation according to LoDs require some reflections, particularly for the transmission of semantic information.This contribution adopts and develops the integration of some tools to derive object-oriented modelling in the HBIM environment, both at the urban and architectural scale, from point clouds obtained by UAV (Unmanned Aerial Vehicle) photogrammetry.One of the paper's objectives is retracing the analysis phases of the point clouds acquired by UAV photogrammetry technique and their suitability for multiscale modelling. Starting from UAV clouds, through the optimisation and segmentation, the proposed workflow tries to trigger the modelling of the objects according to the LODs, comparing the one coming from CityGML and the one in use in the BIM community. The experimentation proposed is focused on the case study of the city of Norcia, which like many other historic centres spread over the territory of central Italy, was deeply damaged by the 2016-17 earthquake

HBIM MODELLING FOR AN HISTORICAL URBAN CENTRE

The research in the geospatial data structuring and formats interoperability direction is the crucial task for creating a 3D Geodatabase at the urban scale. Both geometric and semantic data structuring should be considered, mainly regarding the interoperability of objects and formats generated outside the geographical space. Current reflections on 3D database generation, based on geospatial data, are mostly related to visualisation issues and context-related application. The purposes and scale of representation according to LoDs require some reflections, particularly for the transmission of semantic information. This contribution adopts and develops the integration of some tools to derive object-oriented modelling in the HBIM environment, both at the urban and architectural scale, from point clouds obtained by UAV (Unmanned Aerial Vehicle) photogrammetry. One of the paper’s objectives is retracing the analysis phases of the point clouds acquired by UAV photogrammetry technique and their suitability for multiscale modelling. Starting from UAV clouds, through the optimisation and segmentation, the proposed workflow tries to trigger the modelling of the objects according to the LODs, comparing the one coming from CityGML and the one in use in the BIM community. The experimentation proposed is focused on the case study of the city of Norcia, which like many other historic centres spread over the territory of central Italy, was deeply damaged by the 2016-17 earthquake

Practitioner requirements for integrated Knowledge-Based Engineering in Product Lifecycle Management.

The effective management of knowledge as capital is considered essential to the success of engineering product/service systems. As Knowledge Management (KM) and Product Lifecycle Management (PLM) practice gain industrial adoption, the question of functional overlaps between both the approaches becomes evident. This article explores the interoperability between PLM and Knowledge-Based Engineering (KBE) as a strategy for engineering KM. The opinion of key KBE/PLM practitioners are systematically captured and analysed. A set of ranked business functionalities to be fulfiled by the KBE/PLM systems integration is elicited. The article provides insights for the researchers and the practitioners playing both the user and development roles on the future needs for knowledge systems based on PLM

Innovation brokers and their roles in value chain-network innovation: preliminary findings and a research agenda

Intervention approaches have been implemented in developing countries to enhance farmer's livelihoods through improving their linkages to markets and inclusiveness in agricultural value chains. Such interventions are aimed at facilitating the inclusion of small farmers not just in the vertical activities of the value chain (coordination of the chain) but also in the horizontal activities (cooperation in the chain). Therefore value addition is made by not just innovating products and services, but also by innovating social processes, which we define as Value Chain-Network Innovation. In Value Chain-Network Innovation, linkage formation among networks and optimisation is one of the main objectives of innovation enhancing interventions. Here some important roles for innovation brokers are envisaged as crucial to dynamise this process, connecting different actors of the innovation system, paying special attention to the weaker ones. However, little attention has been given to identify different innovation brokering roles in those approaches, and to the need that they facilitate innovation processes and open safe spaces for innovation and social learning at different organisational settings and levels, to have more effective and sustainable impacts. This paper offers some preliminary empirical evidence of the roles of innovation brokers in a developing country setting, recognising the context-sensitive nature of innovations. Two cases from work experience with intervention approaches are analysed in light of the theories of innovation brokering, presenting some empirical evidence of different types of arrangements made by innovation brokers. A third case was taken from the literature. Data from questionnaires, key informant interviews, participant observations of different types of activities and processes carried out in those approaches, SWOT analysis and project reports were used for the analysis of different types of brokering roles and to draw some lessons. One important outcome of this preliminary analysis was that Information and Communication Technologies (ICT) in integration with other media facilitate new ways of social organisation and interaction of innovation networks, which offer more possibilities for processes of innovation, aggregating value to the production and sharing of knowledge. There is already a transition of paradigm for approaching agricultural innovation to more participative and open approaches, which offers a promissory landscape for organising the value chain actors in a way that is more favourable for small farmers

Value chain governance in the age of platforms

Global value chain (GVC) theory focuses globalisation in the late 20th century. While the theory claims to apply generally to interfirm relationships, much of GVC analysis has focused on the incorporation of developing country manufacturers into the supply chains of global lead firms. This literature has frequently expressed doubts about whether integration into such chains offers opportunities for innovation and upgrading. More recently, globalised production has seen the emergence of market and technology platforms and platform leaders. The distinctive feature of platforms is that they require innovation by other companies to turn platforms into products. Analysis of platform governance can contribute to the further development of GVC governance theory. Using secondary material on platform leaders such as Intel and Apple and primary research on Chinese-owned mobile phone companies, the paper shows how examination of governance in the context of platforms allows a recuperation of understudied and undertheorised elements of GVC governance theory

Organising new product development Knowledge hollowing-out and knowledge integration

The paper analyses the organization of the new product development process at FIAT from a resource-based perspective. The focus is on organizational resources for integrating dispersed specialist knowledge required in the development of complex products. The analysis shows how the application of a resource-based perspective is able to uncover negative long-term effects of outsourcing on the knowledge base (hollowing out), despite beneficial short-term effects on cost.New product development, FIAT Auto, knowledge integration systems integration, modularity, knowledge hollowing-out, resource-based view