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open innovation --- entrepreneurship --- complexity --- theoretical economics --- Business policy --- Business management

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Innovation is a top strategic priority for firms across all industries. In The Innovation Navigator, Tucker J. Marion and Sebastian K. Fixson explore four innovation archetypes or modes - "specialist," "venture," "community," and "network"--Which feature prominently in the expanding innovation landscape. Specialists employ technologies to achieve entirely new solutions and superior product performance. New corporate ventures lower the barriers for employees to self-select into entrepreneurial projects, while reducing the constraints of bureaucracy. The community brings new sources of knowledge by expanding past the firm's boundaries, dramatically increasing the number of participants. The network creates partnerships and ecosystems that create innovations that could not be developed by individual companies alone. The Innovation Navigator guides the reader in exploring and exploiting these different modes of innovation. Individual chapters provide key insights into the inherent opportunities and challenges from a number of vantage points: from the impact on organizational resources to the role of incentives. The book also provides a framework for how firms can leverage dynamic mode shifts and multimode strategies. Firms across the industrial spectrum are profiled, from new additive manufacturing companies such as Formlabs, community-based solution providers like Forth, to traditional firms exploring new modes like GE Appliances and their FirstBuild initiative. The Innovation Navigator will assist executives in building the capabilities for peak performance in this new innovation landscape

Organizational change. --- Technological innovations. --- capabilities. --- collaboration. --- corporate entrepreneurship. --- digital design. --- innovation. --- open innovation. --- process.

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Over the last ten years, there have been multiple examples of established corporations that have fallen on difficult times. Companies that have been disrupted, wiped out or relegated to the sidelines after having once dominated their industries. How can companies avoid this future? The answer is simple: innovation. 

To survive and grow, corporations have now commonly understood that they must deal with external threats by opening their innovation process. Building an ecosystem of partners is a key to access additional competence, find new ideas and technologies, and improve the time to market.

This master’s thesis aims to identify a set of key success factors of Open Innovation through three case-studies conducted within large organizations. Once these factors are determined, the results are contrasted to those obtained from an extensive literature review. The outcome is a concise set of factors facilitating the implementation of Open Innovation in big corporations.

This work highlighted the fact that Open Innovation implies a set of changes related to the culture, strategy and structure of the company. First, it emphasized the need for the support of top management. Second, it confirmed the cultural shift through which every company must pass. Moreover, it proposes three factors which were less emphasized by existing researches: the autonomy of a separate entity, a short feedback loop with a need to pivot when an idea is not valuable, and the creation of a startup mindset using the concepts defined in the Lean Startup model.

Having completed the work, the main recommendations to address the challenges large companies are facing are to remain open-minded to new ideas while collaborating with others at the highest level possible, accept external inputs as willingly as internal ones, and validate ideas by rapid experimentation in the marketplace.

Open Innovation success factors large companies Proximus EnCo BNP Paribas Fortis Home for Innovation bIoTope --- Sciences économiques & de gestion > Stratégie & innovation

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smart organisations --- smart society --- product quality --- service quality --- open innovation --- quality management --- Business policy --- Quality control --- Factory management --- Industrial engineering --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Industrial & Management Engineering

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In this Special Issue, we present current developments and future directions of future intelligent systems and networks. This is the second Special Issue regarding the future of the Internet. This subject remains of interest for firms applying technological possibilities to promote more innovative business models. This Special Issue widens the application of intelligent systems and networks to firms so that they can evolve to more innovative models. The five contributions highlight useful applications, business models, or innovative practices based on intelligent systems and networks. We hope our findings become an inspiration for firms operating in various industries.

Film, TV & radio --- polymediation --- YouTube --- YouTubers --- audio-visual genre --- SocialBlade --- elRubius --- features prediction --- sentiment analysis --- LSTM --- open data --- open innovation --- literature review --- authors --- journals --- knowledge areas --- methodological characteristics --- tax fraud --- neural networks --- intelligent systems and networks --- personal income tax --- prediction --- football --- clubs --- webs --- digital communication --- marketing --- engagement --- digital transformation --- innovation in communication models, prediction