*Message sent from a system outside of UConn.* The new Industry and Innovation is out! Access the new issue here<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fl.facebook.com%2Fl.php%3Fu%3Dhttps%253A%252F%252Fwww.tandfonline.com%252Ftoc%252Fciai20%252F27%252F5%253Fnav%253DtocList&data=02%7C01%7CECONOMICGEOGRAPHY-L%40LISTSERV.UCONN.EDU%7C6b7c7b1869264254926b08d8098f036b%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637269857154580052&sdata=uKNVbaGF5CRfD1Fv8Sbx4SFCauyCyowLSXMHqqDnDjU%3D&reserved=0>! Articles in Industry and Innovation 27/6:
Articles The function of ability, benevolence, and integrity-based trust in innovation networks<https://nam10.safelinks.protection.outlook.com/?url=http%3A%2F%2Furl310.tandfonline.com%2Fls%2Fclick%3Fupn%3Dodl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq2J8qKeii-2F-2BnSd-2B-2Bk2OkimCP0KBew9MuFfPvX-2B1BF6OKBZ3lgllmK5dR8-2BUg-2BnCNK0RLdjXxdFgUVUHpk-2FbmHk8Vk11Tb-2BcbJXmDRmAdK8n3MnGOX7PBR66DLqdR8JfRE31bn1ToLuauSlr2R6H9oISNCSBj0ID0i0-2BGVBG-2FFG8EeXmPU8F2Fk2Ic-2Ft-2FYdrXj7nJatERc2UMSS8k-2FNgfj8FFa6okGkdRr5v2tmUh1L-2BJxAJcshDv3BBYNE4uMeeDgFnb1iNPbOGd6d6MRT9Wu7p3am2rZTbDTzgF12vlQx5qo4QmdloA3NCtWQFCQqHMNFT5qKiNX-2BK9aaIYC1CMuyuhFU6pP5N2ujcS2G5hu-2BX5A-3D-3DWFdi_b4yWfWkpnpFrET4f8xucf8LGjcwbOsv0KjOoVB44u8sXpziQ-2BUDcVQ589RVf3vJFUCGfLCnqU-2BEs-2BmKfKnPp1NTR-2B5pCftL9KC-2FWAF3PrqEGGbeAenozxEj5aYAN-2FuQ093aMmGZFY2rfjuehpEyvXUGyI5MUVuvqz3ljUoucWs9ZE2MqMSRhxJJk1subQkL-2BcbRUla4qkzZQ7cHA0bJD4IY9331D9oV1BrM0a4fpFiyKqc3PJFSr4hhQa8BFlduiuQN-2FCAj58mgzMT-2FEurTLDm1xkP5Z7z0BM25ryo-2FKFPg-3D&data=02%7C01%7CECONOMICGEOGRAPHY-L%40LISTSERV.UCONN.EDU%7C6b7c7b1869264254926b08d8098f036b%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637269857154580052&sdata=WZgU1xvvtZG%2FGU%2BU6HbZn0XmigH5%2B%2BHvqqRfw0CHq2g%3D&reserved=0> By: Helge Svare, Anne Haugen Gausdal & Guido Möllering Abstract: This study contributes to the understanding of how trust based on perceived ability, benevolence, and integrity functions in networks. It adopts a mixed-method approach with quantitative and qualitative data from five Norwegian innovation networks. The study demonstrates how trust based on perceived benevolence, ability, and integrity influences different aspects of network interaction and network outcomes against the background of the network members’ perceptions of risk. Moreover, it finds that these dimensions of trust function differently at the inter-organisational and at the network level. The former level here concerns trust between the organisations in the network, while the latter concerns trust in the network more generally. Benevolence-based trust is identified as particularly salient at both levels for promoting open and honest communication as well as knowledge sharing, enabling both more successful collaboration in general, and more innovation specifically. Do systemic innovation intermediaries broaden horizons? A proximity perspective on R&D partnership formation<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fl.facebook.com%2Fl.php%3Fu%3Dhttp%253A%252F%252Furl310.tandfonline.com%252Fls%252Fclick%253Fupn%253Dodl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq2J8qKeii-2F-2BnSd-2B-2Bk2OkimCP0KBew9MuFfPvX-2B1BF6OKBZ3lgllmK5dR8-2BUg-2BnCNK0RLdjXxdFgUVUHpk-2FbmHk8Vk11Tb-2BcbJXmDRmAdK8n3MnGOX7PBR66DLqdR8JfRE31bn1ToLuauSlr2R6H9oISNCSBj0ID0i0-2BGVBG-2FFG8EeXmPU8F2Fk2Ic-2Ft-2FYdrXj7nJatERc2UMSS8k-2FNgfj8FFa6okGkdRr5v2tmUh1L-2BJxAJcshDv3BBYNE4uMeeDgFnb1iNPbOGd6d6MRT9Wu7p1dVnvbJRVXwmFcw3bCk2T8ep-2F9Nal5XWt74-2B40MZf2lke8-2BL-2BKkXBem6mNLOq19ThENLJKi4UCtsANrojOej-2BA-3D-3DWeTN_b4yWfWkpnpFrET4f8xucf8LGjcwbOsv0KjOoVB44u8sXpziQ-2BUDcVQ589RVf3vJFUCGfLCnqU-2BEs-2BmKfKnPp1NTR-2B5pCftL9KC-2FWAF3PrqFuibhkSW3PQAHdKtnih5GJC7UQDCM3ZeRf9gJAjkmZ3G1W5ma1qlAhRkJ1jGYvL3o-2FuzOhyPo82LfLucOXQ3eiJef4NkX308eXnW0kECj5NxW9tUcL1cE8An-2F82hzWZYTJkfaC3sdcLmlwcg4vtceEae9CYvQkJFUzrG2E6JUHnuHU2nykd01g-2FEbXmcrd4Ls-3D&data=02%7C01%7CECONOMICGEOGRAPHY-L%40LISTSERV.UCONN.EDU%7C6b7c7b1869264254926b08d8098f036b%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637269857154580052&sdata=h46CtNu8OAm7ux8vbUNzLe4oWbcP01HWRNsIJ0ZRNu8%3D&reserved=0> By: Matthijs J. Janssen, Maya Bogers & Iris Wanzenböck Abstract: As systemic innovation intermediaries (SII) orchestrate interactions between innovative actors, they might alleviate the constraints of proximity effects on R&D partnership formation. We test this for existing and new R&D projects established under the Dutch Topconsortia for Knowledge and Innovation. Regression results show that partnerships between firms belonging to the same SII are less sensitive to cognitive proximity, suggesting that the intermediaries facilitate uncommon distant collaboration. At the same time, we find that SII may strengthen social proximity among partners. The influence of organisational proximity seems independent of SII, while geographic proximity loses relevance after the introduction of the intermediaries. SII thus seem to create bridges between distant firms that otherwise may not have collaborated together, while also enhancing the risk of excessive in-group thinking. We conclude with research and policy implications. Identifying cooperation for innovation―a comparison of data sources<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fl.facebook.com%2Fl.php%3Fu%3Dhttp%253A%252F%252Furl310.tandfonline.com%252Fls%252Fclick%253Fupn%253Dodl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq2J8qKeii-2F-2BnSd-2B-2Bk2OkimCP0KBew9MuFfPvX-2B1BF6OKBZ3lgllmK5dR8-2BUg-2BnCNK0RLdjXxdFgUVUHpk-2FbmHk8Vk11Tb-2BcbJXmDRmAdK8n3MnGOX7PBR66DLqdR8JfRE31bn1ToLuauSlr2R6H9oISNCSBj0ID0i0-2BGVBG-2FFG8EeXmPU8F2Fk2Ic-2Ft-2FYdrXj7nJatERc2UMSS8k-2FNgfj8FFa6okGkdRr5v2tmUh1L-2BJxAJcshDv3BBYNE4uMeeDgFnb1iNPbOGd6d6MRT9Wu7p-2FPGQXf-2BAor6wSEaedNygqM92HyxqcV4uJLAnFpMF233lYxlcT2-2Br9Xmu8jNDrX3EwXlz7X8TrR1Fa9ZVP3PsNw-3D-3D42nJ_b4yWfWkpnpFrET4f8xucf8LGjcwbOsv0KjOoVB44u8sXpziQ-2BUDcVQ589RVf3vJFUCGfLCnqU-2BEs-2BmKfKnPp1NTR-2B5pCftL9KC-2FWAF3PrqEZpgL9Hf8XNmF2-2F1xuYriYcoPI-2FmQ4lIyCmVWEfMdi-2FxW-2FV-2FgocF6ZF8DeSu32Xr3Dk6wwYyENrLBRx8LUGg7ZaEmxSbFi72vNDwL1HagroEYoux7n4SKG0ZrpdXYyFPmqnbaiHI5qLgDoSXnpstcitaduIZp5dpq1okfQmFJG8Vl95zMZVqzsPyDAM1MdMTY-3D&data=02%7C01%7CECONOMICGEOGRAPHY-L%40LISTSERV.UCONN.EDU%7C6b7c7b1869264254926b08d8098f036b%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637269857154580052&sdata=e1NvWe4KdzsAaecYBh%2ByJWWkZBrren4tIjIieGscqHQ%3D&reserved=0> By: Michael Fritsch, Mirko Titze & Matthias Piontek Abstract: The value of social network analysis is critically dependent on the comprehensive and reliable identification of actors and their relationships. We compare regional knowledge networks based on different types of data sources, namely, co-patents, co-publications, and publicly subsidized collaborative R&D projects. Moreover, by combining these three data sources, we construct a multilayer network that provides a comprehensive picture of intraregional interactions. By comparing the networks based on the data sources, we address the problems of coverage and selection bias. We observe that using only one data source leads to a severe underestimation of regional knowledge interactions, especially those of private sector firms and independent researchers. The importance of vocational education institutions in manufacturing regions: adding content to a broad definition of regional innovation systems<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fl.facebook.com%2Fl.php%3Fu%3Dhttp%253A%252F%252Furl310.tandfonline.com%252Fls%252Fclick%253Fupn%253Dodl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq2J8qKeii-2F-2BnSd-2B-2Bk2OkimCP0KBew9MuFfPvX-2B1BF6OKBZ3lgllmK5dR8-2BUg-2BnCNK0RLdjXxdFgUVUHpk-2FbmHk8Vk11Tb-2BcbJXmDRmAdK8n3MnGOX7PBR66DLqdR8JfRE31bn1ToLuauSlr2R6H9oISNCSBj0ID0i0-2BGVBG-2FFG8EeXmPU8F2Fk2Ic-2Ft-2FYdrXj7nJatERc2UMSS8k-2FNgfj8FFa6okGkdRr5v2tmUh1L-2BJxAJcshDv3BBYNE4uMeeDgFnb1iNPbOGd6d6MRT9Wu7p1dVnvbJRVXwmFcw3bCk2T1rc6oUp6Wo9o-2FXjN-2FxUJ1GFEfxJSfT0SZYflxBXXno2ElS4S61WtasjX3JZPxGtFg-3D-3D23m3_b4yWfWkpnpFrET4f8xucf8LGjcwbOsv0KjOoVB44u8sXpziQ-2BUDcVQ589RVf3vJFUCGfLCnqU-2BEs-2BmKfKnPp1NTR-2B5pCftL9KC-2FWAF3PrqEWIySoPhPHslewkqpEodc6ZdHxXc31Qu-2FReozml8trkbr7JxtOAPioEKgcc2HWOfEadU6MAG-2BIy9dPr6XzSHZ4N3e9hlYTGvZ-2FBmTL7rZBgTgX5qNz2ItGU7nHLgaRqeX6cq0xORNaKhAj2ZDZmYiTXekGbTv-2BdTQS3LFtyWorOe5sEcs9jBLTwyFmM5i9k9E-3D&data=02%7C01%7CECONOMICGEOGRAPHY-L%40LISTSERV.UCONN.EDU%7C6b7c7b1869264254926b08d8098f036b%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637269857154580052&sdata=ZHoFZnzGGbBHxIuVBWsoN0GRFvwx7CNBrYI4VKicaSk%3D&reserved=0> By: Henrik Brynthe Lund & Asbjørn Karlsen Abstract: This paper explores the importance of vocational education institutions in regional innovation systems, and the role skilled workers have in implementing new technologies in manufacturing industries. The case study is founded on a broad conceptualisation of RISs, emphasising the importance of all relevant parts of the industrial and institutional system. We analyse the collaboration between industry actors and vocational education institutions in two Norwegian manufacturing regions. The analysis demonstrates how, in developing new education programmes tailored for contemporary and future manufacturing, vocational education institutions are essential for manufacturers’ competitiveness. The paper adds empirical content to the hitherto highly theoretical concept of broad RISs, emphasising the key role of skilled workers and engineering technicians when implementing new manufacturing technologies. Furthermore, we explain how the vocational education institutions and RISs are co-evolving with emerging technologies in terms of changed knowledge demands in the industry, prompting new education programmes in vocational education institutions. The diffusion of a policy innovation in the energy sector: evidence from the collective switching case in Europe<https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Fl.facebook.com%2Fl.php%3Fu%3Dhttp%253A%252F%252Furl310.tandfonline.com%252Fls%252Fclick%253Fupn%253Dodl8Fji2pFaByYDqV3bjGMQo8st9of2228V6AcSFNq2J8qKeii-2F-2BnSd-2B-2Bk2OkimCP0KBew9MuFfPvX-2B1BF6OKBZ3lgllmK5dR8-2BUg-2BnCNK0RLdjXxdFgUVUHpk-2FbmHk8Vk11Tb-2BcbJXmDRmAdK8n3MnGOX7PBR66DLqdR8JfRE31bn1ToLuauSlr2R6H9oISNCSBj0ID0i0-2BGVBG-2FFG8EeXmPU8F2Fk2Ic-2Ft-2FYdrXj7nJatERc2UMSS8k-2FNgfj8FFa6okGkdRr5v2tmUh1L-2BJxAJcshDv3BBYNE4uMeeDgFnb1iNPbOGd6d6MRT9Wu7p1dVnvbJRVXwmFcw3bCk2T5lWGJ7GHAHqd-2BV2p9K-2B7NTafYwy8yqLS1mTsvhqQ3CaEcG46-2BMBOG1J7GELKXQiRw-3D-3DTB34_b4yWfWkpnpFrET4f8xucf8LGjcwbOsv0KjOoVB44u8sXpziQ-2BUDcVQ589RVf3vJFUCGfLCnqU-2BEs-2BmKfKnPp1NTR-2B5pCftL9KC-2FWAF3PrqGZ43IleAuXcsGZ2FRpo9MX7901A6neVd5ntUAOsXlJIcSktg8STej8KK3PwgPxArmoNV-2FtfWdbYJ6vu6d2DoOON6ec-2F-2FSRS-2BBiPcc-2F0oVJg8sQq450AQw5YUIvsoSEbnKTEA0C4RXyC7k3GZk1F-2F-2B9A39yVsKyO6c2LyIt-2BG6-2By7ElHv5vvAbmYDdwhC5ItGo-3D&data=02%7C01%7CECONOMICGEOGRAPHY-L%40LISTSERV.UCONN.EDU%7C6b7c7b1869264254926b08d8098f036b%7C17f1a87e2a254eaab9df9d439034b080%7C0%7C0%7C637269857154580052&sdata=TlRAADdU7F9UStwkAt5W66al%2B3h4wc6Mt3TkGYryy60%3D&reserved=0> By: Silvia Blasi & Silvia Rita Sedita Abstract: This paper investigates the heterogeneity of ways through which a policy innovation affects the structure and the complex interactions taking place within a business ecosystem and how different business ecosystems react differently to a policy innovation, given their structural and behavioural characteristics. The paper focuses on a specific policy innovation, namely the collective switching. We performed a cross-country analysis using the 6C framework as a tool for identifying differences in the structure and behaviours of energy business ecosystems after the introduction of collective switching. We examined in rich detail 11 European countries’ collective switching campaigns, and provide an accurate description of the transformations of their energy business ecosystems. Semi-structured interviews, conducted with consumer associations that organised collective switching campaigns, provide insights for the definition of some policy interventions.
