Search results

For solving the dilemma between the cognitive cost and value of the uncertainty and negative feedback loop formed by them in the knowledge transfer process, the purpose of this paper is to attempt to construct a new web‐based knowledge flow model to find an alternative diffusion path which had become the inevitable choice in achieving Industry‐University collaboration.

In view of this, based on the statistical data compilation of the Universities of Science and Technology of China from 2002 to 2008, the visual diagrams, econometric model and grey incidence model were used to analyze the situation of the technology innovation and technology transformation on the combined learning with research in Jiangsu. Then, the conceptual model and the organization management pattern for network‐based Industry‐University‐Research collaboration was put forward.

The results are convincing: the new web‐based knowledge flow model in this paper could overcome barriers in the knowledge flow process of the Industry‐University collaboration with the innovation and the integration of the cross‐border and also promote the exchange of knowledge especially for tacit knowledge and value‐added mobile and can also improve the regional technological innovation ability and technology transformation capabilities.

The paper succeeds in constructing the web‐based knowledge flow model to develop the Industry‐University collaboration and help improve regional innovation and technology transformation.

This paper aims to identify, analyze and discuss a potential new business opportunity that arises from the intersection of the digital music and game industries across borders throughout network-based innovation approach.

The research draws on review of industry and academic literature, two online surveys and interviews, overall encompassed by a interpretative exploratory research methodology strategy.

The study supports the interest and potential for developing new products that combine digital music and casual digital games and that draw on firms from more than one region, while potentially involving a wide set of social network key stakeholders.

This is an exploratory study in which findings should be challenged by confirmatory studies, including new product design and development of modeling techniques and network-based innovation approaches. This research contributes for the generation of new insights over technological and social driving forces, as well as emerging trends that shed light on the global competitiveness and on convergence of mobile gaming and digital music industries at regional innovation systems view. It also discusses spillover mechanisms based on new knowledge creation, knowledge diffusion and knowledge appropriation throughout the key stakeholders. The customer-centric innovation and network value autocorrelation hypothesis was validated, and both technology convergence and social factors are enhancement factors for innovation. Limitations and further research with larger sampling, specialization techniques and empirical modeling to in-depth analysis is suggested.

The study provides a framework for managers to develop new products that merges boundaries of related industries and encourages network-based innovation and cooperation between industry players, involving different regions. Ultimately, it shows opportunities of diversification, by introducing new products into new markets, as result of interdependence, soft factors, knowledge spillover and absorptive capacity mechanisms over a network of key stakeholders across different regions throughout customer-centric innovation, while impacting also new discussion on entrepreneurship and knowledge spillover theory and policy making.

Social capital network is key for innovation and knowledge spillover among industry players. Content creation regarding products and services show high dependence on spatial external cultural influences, tastes and habits for customer-centric innovation, while impacting on social and learning customer experience, as well.

The paper has value for product development and innovation managers, researchers and practitioners. It discusses the value of innovation systems that are purposively developed beyond traditional geographic and industry boundaries.

China always acts as a large low‐cost manufacturing economy under globalization. However, her services are also active and innovative today although still small. The purpose of this paper is to exhibit the roadmap of service innovation research in China and to predict the future research trend.

A literature review was organized under a cross framework – innovation in services, and service innovation with manufacturing. All literature was selected from Chinese academic periodicals and monographs in the last decade. The search keywords include “service innovation”, “knowledge‐intensive business services”, and “new service development”.

Through the review of Chinese literature, two critical characteristics of service innovation were proved, i.e. organizational innovation and regulation environment; and for China, the marketalization of services is urgent for the motivation and accumulation of service innovation capability.

Policy makers should take services as significant as manufacturing, and put them into the national and regional innovation systems. Regulation should be reduced to a low level to stimulate service innovation. Government should also encourage the development of the services infrastructure, including social credit system, independent intermediary, grid, and NGOs, etc.

The paper gives an insight into the perspectives of management, sociology, and economics in the service innovation field using the Chinese research track as an illustration.

The aim of the study was to assess the effectiveness of network leadership in meeting the requirements for regional development networks imposed by the network society.

A new framework of three different archetypes of regional development networks was devised. The characteristics of the different networks and the requirements they set for network leadership were assessed as a case study in the Lahti Region, Finland. A special panel of experts of three highly experienced network leaders was organized as part of the present study. Their task was to assess the differences concerning network leadership in different regional development networks. The session was conducted in the (niin sanottu means it was not an inspiration) Inspiration Center in the Lahti Region. Inspiration Center is a platform for brainstorming and stimulation, designed especially to arrive at ideas and form opinions through teamwork. The method used was a half‐structured group discussion, planned especially for the purpose of the present study. The method was used to form a convergent expert assessment among the participants.

The essential differences of the types of regional development networks make it insufficient to talk about network leadership as a general concept. It is important to identify and understand the differences in network leadership required by the different archetypes of regional development networks.

The paper combines leadership, network leadership, and regional development in a novel way.

In the context of resource scarcity, the affiliation of small and medium-sized enterprises (SMEs) to strategic networks has emerged as a fruitful path towards knowledge sharing as a reaction to fierce competition and with a view to enhance their innovative performance. In this framework, this paper aims to investigate the influence exerted by a specific relational design (i.e. types of strategic networks) and methodology (i.e. channels and content) of knowledge sharing on SMEs innovative performance.

A questionnaire-based survey with 102 top managers of European SMEs in the industrial field was conducted from June to August 2019 and a partial least squares structural equation modelling technique was used. The database was initially filtered to ensure the adequacy of the sample and data was analysed using the statistics software package SmartPLS 3.0.

The results concluded that the structural model explains 38.5% of the variance in SMEs innovative performance, indicating the positive effects exerted by offline and online and by competitive knowledge sharing on the dependent variable.

The study has both theoretical and practical implications in that it sets out a reference point for the key performance indicators for strategic networks structure, formation and development and, implicitly, for the selection of the most efficient relational design and methodology.

The pivotal originality elements reside in the advancement of a more comprehensive conceptual and structural model combining a two-fold operationalization of SMEs strategic networks (founded on business abilities or on the personality of the partner) and in the investigation of knowledge transfer processes at the inter-organizational levels within a context-centric approach.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

The study supports the interest and potential for developing new products that combine digital music and casual digital games and that draw on firms from more than one region, while potentially involving a wide set of social network key stakeholders.

The paper provides strategic insights and practical thinking that have influenced some of the world’s leading organizations.

The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The paper aims to analyse the meaning and extension of discretionary power of social service professionals within network-based interventions.

Empirically, the paper is based on a case study of a network-based policy involving private and public organisations in the Northeast of Italy (Province of Trento).

The paper identifies netocracy as a social policy logic distinct from bureaucracy and professionalism. What legitimises netocracy is neither authority nor expertise but cooperation, the activation of connections and involvement, considered “good” per se. In this framework, professionalism and discretion acquire new and problematic meanings compared to street-level bureaucracy processes.

Based on a case study, the research results cannot be generalised but pave the way to further comparative investigations.

The paper reveals that the position of professionals in netocracy is to some extent trickier than that in a bureaucracy because netocracy seems to have the power to encapsulate them and make it less likely for them to deviate from expected courses of action.

Combining different literature streams – street level bureaucracy, professionalism, network organisations and welfare governance – and building on an original case study, the paper contribute to understanding professionalism in welfare contexts increasingly characterised by the combination of bureaucratic, professional and network logics.

While the importance of “science and technology-based innovation” (STI) and “doing, using and interacting-based innovation” (DUI) innovation modes in firm innovation performance has been well-established, little is known about how they affect the innovation performance of young firms. The author examines the most effective innovation mode and boundary conditions for the innovation performance of developing companies.

The author tests the two modes of innovation using data from 159 young firms in China.

The author’s analysis indicates that a higher level of DUI innovation mode is more relevant to the innovation performance of newly established enterprises. Moreover, the effectiveness of the innovation mode is bound by the networks in which the company operates and interacts. The effectiveness of STI and DUI innovation modes is enhanced when there are high levels of innovation and business network interconnectedness from the technology network partner.

These findings have important implications on innovation research as they highlight the joint effects of innovation modes and quality of network ties on young firms seeking to improve their innovation performance.

STI and DUI innovation modes represent different forms of innovation activities that may affect the knowledge and resources of young firms used to improve innovation performance. Knowing this can help young firms to choose effective innovation mode.

This study makes three contributions. The first is to pay specific attention to the neglected topic of the influence of STI and DUI innovation modes on innovation performance of young firms. Understanding that the two innovation modes offer different methods of gaining knowledge and resources can help young firms choose an effective innovation mode for their business; Second, the author examines the boundary conditions of the effectiveness of innovation modes. Specially, the author examines the moderating role of external networks, which can help clarify conflicting results in this regard. 10;The third contribution is to investigate the importance of network relationships for innovation activities moving beyond the extent of network relationships to instead consider the ability of those relationships to expose a firm to innovative techniques and methods.

This paper seeks to explore the evolution of a third generation mobile communications (3G) industry based on TD‐SCDMA technical standard in China through the lens of network analysis.

The authors argue that inter‐firm alliances help companies gain and integrate internal and external resources and foster technical innovation. The paper analyzes alliance governance structures and governance mechanisms in particular, and shows how they protect and improve network‐based innovation capabilities and competitive advantages during a ten‐year period with the method of social network analysis and case studies.

The authors offer a theoretical model that incorporates cooperation among organizations, the maturity of the industrial chain, and the accumulation of organizational knowledge and social capital.

The paper offers a theoretical model of factors that contributes greatly to the development of technical innovation.

Based on the perspective of technology supply chain, this study explores the effect of macroeconomic uncertainty regarding the spatiotemporal evolution of urban innovation networks to establish causality.

It collects patent trading data for 283 cities in China (2005–2017) and employs the spatial econometric model to investigate the causal relationship.

The regional transfer of advanced technology in China is rising sharply, and the innovation network based on patent trading is typically high-density, multi-direction and wide-spreading. Further, macroeconomic uncertainty has a negative effect on the scale of innovation flows and the absorptive capacity in eastern cities. However, it has no significant impact on the innovation network characteristics in developed cities. In contrast, macroeconomic uncertainty is detrimental for the absorptive capacity and node importance in inland and undeveloped cities.

As macroeconomic uncertainty increases, it is important to improve the quality of the urban innovation network with a better understanding of heterogeneity to promote further suitability innovation at the region-level.

This study highlights a clear and distinctive view that macroeconomic uncertainty not only directly affects the evolution of the urban innovation network but also indirectly affects the characteristics of other city nodes via the spatial spillover mechanism.