Cross-Border Cooperative Network in the Perspective of Innovation Dynamics

Abstract

This study proposes a framework for the empirical research of cross-border innovation networks dealing with network characteristics, resource and information flows, and decision-making concerning technological innovations. The authors develop a conceptual model that relates network properties, flows of knowledge, and tangible resources with the likelihood of a decision on open innovation, closed innovation, and business expansion without innovations. The model decomposes knowledge flows, considered as the most significant factor for innovation dynamics, into flows of information, trust, and technological competence. The likelihood of strategic decisions in a cross-border innovation network environment is supposed to be dependent on the peculiarities of these flows, network properties such as structural cohesion, autonomy, equivalence, as well as cognitive distance. The paper discusses some distinctive features of this type of network between the North-West of Russia and South-East of Finland.

Sharing Knowledge When it Cannot be Made Explicit

“…Within an extended enterprise, there may be someone who has received the same information and, interpreting it, has created a piece of tacit knowledge, which has a meaning for him/her. We have to be aware that this meaning can differ from one person to another, particularly within extended enterprises, where stakeholders may be spread throughout the world (Platonov et Bergman, 2011 ;Ngoma et Lind, 2015). PLM systems often try to extract and to organize information necessary for automating business tasks of the company, regarding each piece of information as a piece of knowledge.…”

Cross-Industry Spatially Localized Innovation Networks

“…Такая ситуация предоставляет структурно автономным компаниям возмож-ность координировать и управлять переливом знания и новыми ресурсными комбинациями [24]. Разрывы сети, представляющие структур-ные пустоты, служат основой для организации эффективных инновационных сетей, резуль-тативность которых обеспечивается многими косвенными связями [27].…”

“…например [28,27]) на основе предложенной модели сформу-лирована система основных положений для оценки вероятности решений относительно инноваций, обусловленных межотраслевой кооперацией (обозначенных латинской бук-вой P от английского proposition). Таким об-разом, модель позволяет увидеть важные при-чинно-следственные зависимости и составить суждение о вероятности стратегических реше-ний.…”

“…Введение ресурсных потоков [17,27] в мно-гофакторную модель позволило учесть межо-траслевое территориальное инновационное взаимодействие в динамике, включая важней-шие особенности ИТК. Состав ресурсных по- токов в модели определен согласно ресурсно-ориентированному подходу [30] и особенно-стям сетевых ресурсов [12].…”

Collaborative product innovation network: Status review, framework, and technology solutions

“…Besides, the current researches are mainly focused at the firm strategy level (e.g. Platonov and Bergman, 2011) rather than at the NPD project level providing specific guidance on implementation of the IN. Furthermore, how to facilitate innovation knowledge reuse and integration among the network members are still major problems to be solved.…”