NETWORK POSITIONS AND INNOVATION CAPABILITIES IN THE REGIONAL INNOVATION NETWORKThis paper investigates the positioning of actors characterized by different natures in a regional innovation network and explores how these actors improve their innovation capabilities by assuming prominence or brokering positions. Innovation capability is widely seen to be the driving force in building regional competitive advantage, therefore investigating how the positioning of actors improves their innovation-related activities is relevant in terms of regional competitiveness. This paper builds on a survey conducted on the Sicilian regional area in Italy.A questionnaire was used to collect data concerning the relationships established between actors and the extent to which these relationships impact actors' innovation capability. Results suggest that regional actors cannot be considered as a homogeneous group regarding their positioning in a regional network and that the innovation benefits of assuming different network positions depend on their nature. This paper offers some theoretical implications to the literature on regional innovation network and practical suggestions to organizations and regional policy makers.

a b s t r a c tNowadays network is the preferred governance form to conduct economic transactions. Network solution allows to reach flexibility maintaining cost and quality level. Since network concept refers to a great variety of organizational hybrids it is possible to choose the one that fits better market requirements. The new trends in interorganization relationships push towards network solutions: companies are interested in relationships with partners and customers to overcome resource dependence, to enter too risky market or simply differentiate their business portfolio. The proposed research focuses on the network concept aiming at highlighting threats and opportunities to investigate the double nature of the risk concept. Network structures offer flexibility and higher profit as a consequence and business risk sharing opportunity.These two aspects (profit and risk) are strictly related and have to be considered together to depict a complete scenario; this implies that risk assessment and management in network environment cannot neglect profit sharing or, in other words, that profit sharing mechanisms should use risk as driver. In this context our research proposes a methodology to measure risk taking into account network peculiarities; risk estimation is a basic step to evaluate the opportunity cost of capital needed to compute the network Net Present Value (NPV) that is assumed as base in the profit sharing process. The profit sharing process has been tackled using the Shapley value approach that is inspired to the fairness principle while the opportunity cost of capital is assessed using the Capital Asset Pricing Model (CAPM).

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Drugs available in the market today, selected several years ago under very uncertain future scenario, have experienced a long and expensive process of research and development carried out following both a closed and an open innovation path. To support this critical selection process, we propose a Decision Support System, able to choose among different candidates the most promising drugs along their best development path. The Decision Support System, based on a real options portfolio optimization model, mapping tools, and what‐if rules as well, has been applied to a numerical example available in literature, and the research findings show interesting managerial and academic implications. Copyright © 2015 John Wiley & Sons, Ltd.

Decision support systems (DSSs) have been traditionally identified as useful information technology tools in a variety of fields, including the context of cultural heritage. However, to the best of our knowledge, no prior study has developed a DSS framework that incorporates all the main decision areas simultaneously in the context of cultural heritage. We fill this gap by focusing on design-science research and specifically by developing a DSS framework whose features support all the main decision areas for the sustainable management of cultural assets in a comprehensive manner. The main decision-making areas considered in our study encompass demand management, segmentation and communication, pricing, space management, and services management. For these areas, we select appropriate decision-making supporting techniques and data management solutions. The development of our framework, in the form of a web-based system, results in an architectural solution that is able to satisfy critical requirements such as ease of use and response time. We present an application of the innovative DSS framework to a museum and discuss the main managerial implications and future improvements.