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Article
Publication date: 13 July 2020

Xiaoxiao Shi, Zuolong Zheng, Qingpu Zhang and Huakang Liang

This paper aims to analyze the extent to which the influence of external knowledge search activities on firms’ incremental innovation capability, and the moderating roles…

Abstract

Purpose

This paper aims to analyze the extent to which the influence of external knowledge search activities on firms’ incremental innovation capability, and the moderating roles of the relatedness between the partners’ technological bases and a firm’s network embeddedness in the innovation network.

Design/methodology/approach

In this empirical research, the authors collected a sample of patents in the UAV industry over the period of 2004–2018. Then the authors examined the direct role of external knowledge search on firms’ incremental innovation capability and the joint moderating effects of technological proximity and network embeddedness.

Findings

We found that external knowledge search in innovation networks positively affects firms’ incremental innovation capability. Moreover, we discovered that high technological proximity to other peers positively strengthens the impact of firms’ external knowledge search on their incremental innovation capability. Finally, the findings suggested that the relationship between a firm’s external knowledge search activities and its incremental innovation capability is stronger for high technological proximity coupled with high network centrality or poor structural holes in innovation networks.

Originality/value

This study adds value to open innovation literature by pointing out a positive relationship between external knowledge search and firm incremental innovation capability. Furthermore, this study reinforces the key joint contingent roles of technological proximity and network embeddedness. This study provides a valuable theoretical framework of incremental innovation capability determinants by connecting the different perspectives.

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Article
Publication date: 6 February 2017

Cristian Geldes, Jorge Heredia, Christian Felzensztein and Marcos Mora

This paper aims to use the proximity approach of economic geography with its spatial dimension (geographic) and their non-spatial dimensions (social, institutional…

Abstract

Purpose

This paper aims to use the proximity approach of economic geography with its spatial dimension (geographic) and their non-spatial dimensions (social, institutional, cognitive and organizational) to shed light on the determinants of business cooperation with other organizations. It is also examined whetherthis cooperation is a determining factor for business innovation (innovation networks), drawing a distinction between technological and non-technological innovations.

Design/methodology/approach

The study has a quantitative approach; it analyzes the case of 312 companies in a cluster of agribusinesses in an emerging economy (Chile). The proposal model and its interrelations are tested with exploratory factor analysis, confirmatory factor analysis and structural equation modeling.

Findings

The results show that cognitive-organizational proximity is a positive determinant of business cooperation with other organizations, whereas social and institutional proximity are negative determinants. It is also established that business cooperation is a positive determinant of business innovation. It is more relevant in the case of technological innovation unlike non-technological innovations. In addition, it is noted that business cooperation levels are lower in micro-enterprises, a result that differs from developed countries.

Practical implications

For business managers, it is best to cooperate with companies that are similar in terms of cognitive and organizational levels for innovation. At the same time, it is necessary develop strategies to reduce the social and institutional barriers to cooperation, especially in the agribusiness sector.

Originality/value

The contributions of the study are as follows: an in-depth quantitative examination of the relationships of various non-spatial proximities as determinants of business cooperation; an analysis of whether business cooperation with other organizations is a determining factor for business innovation, distinguishing between technological and non-technological innovation; and testing these relationships in the context of agribusiness in an emerging economy such as Chile’s because most of studies are related to high-tech sector and developed economies.

Details

Journal of Business & Industrial Marketing, vol. 32 no. 1
Type: Research Article
ISSN: 0885-8624

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Article
Publication date: 12 September 2008

Antonio Messeni Petruzzelli

The paper aims to investigate how proximity dimensions affect the establishment of different knowledge relationships between gatekeepers and other economic actors involved

Abstract

Purpose

The paper aims to investigate how proximity dimensions affect the establishment of different knowledge relationships between gatekeepers and other economic actors involved in their knowledge‐based networks.

Design/methodology/approach

The methodology is based on an inductive research approach, represented by the explorative case study of the Polytechnic University of Turin. The University's knowledge relationships are identified and distinguished through the analysis of its patent joint‐developments, citations, and R&D projects. Then, for each knowledge relationship, geographical, organizational, and technological proximity between the University and the other economic actors are assessed, adopting suitable proxies.

Findings

The data reveal that the University activates collaborative and exploitative relationships with actors characterized by geographical, organizational, and technological proximity. In contrast, collaborative and explorative relationships seem to require actors characterized by more distant technological competencies. Furthermore, the exchange of knowledge by means of non‐collaborative relationships occurs between the University and actors characterized only by technological proximity.

Research limitations/implications

On the basis of this analysis, actors can identify which proximity dimensions assume an important role for activating knowledge flows with gatekeepers. Regarding policy implications, the paper highlights how policy makers should leverage proximities in order to favour and support the exchange of knowledge, hence improving the innovative capability, competitiveness, and attractiveness of regional areas.

Originality/value

This research contributes to shed further light on the nature of the relationships and knowledge flows exchanged by the gatekeepers. In particular, it analyzes how relational attributes can affect the knowledge transfer processes between economic actors.

Details

Journal of Knowledge Management, vol. 12 no. 5
Type: Research Article
ISSN: 1367-3270

Keywords

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Article
Publication date: 11 September 2017

Fadia Bahri Korbi and Mourad Chouki

The purpose of this paper is to analyze the issue of knowledge transfer in the context of international asymmetric alliances. The objective is mainly to identify the…

Abstract

Purpose

The purpose of this paper is to analyze the issue of knowledge transfer in the context of international asymmetric alliances. The objective is mainly to identify the barriers that can impede the knowledge transfer between asymmetric partners and to analyze the solutions adopted to overcome these barriers.

Design/methodology/approach

The authors use a qualitative study involving six cases of asymmetric alliances between Tunisian small-and-medium enterprises (SMEs) and European multinational corporations (MNCs).

Findings

The results of this research highlight a set of obstacles related to the context of asymmetric alliance itself and the nature of knowledge transferred by partners. The study emphasizes the importance of translation using artefacts by both partners and proximity with its geographical, organizational and technological dimensions to overcome these obstacles.

Research limitations/implications

The investigation of knowledge transfer in asymmetric alliances was based on the role played by only three proximity dimensions (geographical, organizational and technological), while other factors, such as institutional, social and cultural issues, were not considered. Indeed, future research may take these variables into account in studying solutions to overcome knowledge-transfer barriers in asymmetric alliances.

Practical implications

The paper calls the attention of asymmetric alliance managers to the importance of translation to perform work processes, facilitate knowledge transfer and overcome linguistic barriers. Managers should use virtual artefacts to reduce the constraints resulting from their geographical remoteness and to strengthen cooperation. Further, reinforcing geographical, organizational and technological proximity between partners involved in an international alliance is essential to facilitate knowledge transfer, essentially of tacit knowledge, and to accelerate innovation.

Originality/value

This study emphasizes the importance of the simultaneous role of artefacts, translation and proximity in overcoming obstacles related to the asymmetric alliance itself and the nature of knowledge transferred by partners. The results shed light on the issue of knowledge generation in asymmetric alliances.

Details

Journal of Knowledge Management, vol. 21 no. 5
Type: Research Article
ISSN: 1367-3270

Keywords

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Article
Publication date: 15 January 2020

Andrew Johnston

Despite typically being regarded as “low tech”, the food manufacturing and technology sector is increasingly turning to open innovation practices involving collaboration…

Abstract

Purpose

Despite typically being regarded as “low tech”, the food manufacturing and technology sector is increasingly turning to open innovation practices involving collaboration with universities in order to innovate. Given the broad range of activities undertaken by this sector and the fact that it utilises analytical, synthetic and symbolic knowledge for innovation, it makes an interesting case study on the factors that influence the formation of university–industry (U–I) links. The paper aims to discuss this issue.

Design/methodology/approach

Using data from 249 collaborative projects that occurred between UK universities and food manufacturing and technology firms, the analysis utilises a logistic regression model based on a “synthetic counterfactual approach” to modelling the probability a collaborative link will be established with one university and not others.

Findings

The results suggest that organisational proximity, conceptualised through the presence of prior ties between actors, has the largest influence on the formation of U–I links. In addition, spatial and technological proximities between actors also have a positive influence on link formation. This result suggests that the specificity of knowledge of the food sector is important in the formation of these U–I links.

Research limitations/implications

The results suggest that the open innovation practices of food manufacturing and technology firms are like other sectors, even though their innovation practices are considered to be different. However, the limitations of the paper mean that these findings may be specific to firms in the food manufacturing and technology sector in the UK.

Originality/value

The food sector is under-represented in empirical studies on university collaboration; this paper addresses this and provides new insights into the formation of these links.

Details

European Journal of Innovation Management, vol. 24 no. 1
Type: Research Article
ISSN: 1460-1060

Keywords

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Article
Publication date: 25 November 2020

Maral Mahdad, Thai Thi Minh, Marcel L.A.M. Bogers and Andrea Piccaluga

There is little known about investigating the importance of all proximity dimensions simultaneously as a result of geographical proximity on university-industry…

Abstract

Purpose

There is little known about investigating the importance of all proximity dimensions simultaneously as a result of geographical proximity on university-industry collaborative innovation. This paper aims to answer the question of how geographically proximate university and industry influence cognitive, social, organizational, institutional and cultural proximity within university-industry joint laboratories and finally, what is the outcome of these interplays on collaborative innovation.

Design/methodology/approach

The study uses an exploratory multiple-case study approach. The results are derived from 53 in-depth, semistructured interviews with laboratory directors and representatives from both the company and the university within 8 joint laboratories of Telecom Italia (TIM). The data collection was carried out in 2014 and 2015. The analysis follows a multi-grounded theory approach and relies on a mix of deductive and inductive reasoning with the final goal of theoretical elaboration.

Findings

This study finds the role of social and cultural proximity at the individual level as a result of geographical proximity as an enabler of collaborative innovation by triggering mutual learning, trust formation and frequent interactions. Cognitive proximity at the interface level could systematically influence collaborative innovation, while organizational and institutional proximity has marginal roles in facilitating collaborative innovation. The qualitative analysis offers a conceptual framework for proximity dimensions and collaborative innovation within university-industry joint laboratories.

Practical implications

The framework not only advances state-of-the-art university-industry collaboration and proximity dimension but also offers guidance for managers in designing collaborative innovation settings between university and industry.

Originality/value

With this study, the paper advances the understanding beyond solely the relationship between proximity and collaboration and shed light on the interplay between geographical proximity and other proximity dimensions in this context, which has received limited scholarly attention.

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Article
Publication date: 7 February 2020

Sascha Naomi Jansz, Terry van Dijk and Mark P. Mobach

The purpose of this paper is to create an overview of current literature and identify gaps in what is known about stimulating interaction through spaces and services…

Abstract

Purpose

The purpose of this paper is to create an overview of current literature and identify gaps in what is known about stimulating interaction through spaces and services provided on university campuses.

Design/methodology/approach

The authors used the preferred reporting items for systematic reviews and meta-analyses (PRISMA) statement methodology for systematic literature review. In total, 3,616 articles were screened, 31 articles were included. Facility Directors from 13 Dutch Universities were asked to define the search terms related to services.

Findings

Spaces and services were mostly studied separately. The majority of papers (18/31) were based on perceptions (surveys or interviews). The following critical success factors were identified in the literature: geographic proximity, cognitive proximity, scale, transitional spaces, comfort and experience, shared facilities and events, local buzz and networks. These factors are interrelated. The authors present a new relational model, from spaces and services, through interaction to innovation, visualising how the identified papers are related.

Research limitations/implications

The scope of possible findings may have been narrowed because prior relevant studies were rather limited and as a consequence of the search strategy designed to limit the number of unrelated hits. Some knowledge gaps may not have been identified, as only a few mainstream concepts related to the critical success factors were used for comparison. Nevertheless, the literature review provides a reliable overview of current academic knowledge regarding critical success factors for spaces and services that stimulate interaction on campuses.

Originality/value

This paper offers a novel perspective by emphasising the relational chain from interaction to innovation, visualising the large diversity in research fields and summarising the critical success factors in the literature.

Details

Journal of Facilities Management , vol. 18 no. 2
Type: Research Article
ISSN: 1472-5967

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Article
Publication date: 5 October 2012

Chunjuan Luan and Xiuping Wang

The purpose of this paper is to help China's science and technology (abbr. as S&T) managers and related policy makers to allocate S&T human resources, optimize…

Abstract

Purpose

The purpose of this paper is to help China's science and technology (abbr. as S&T) managers and related policy makers to allocate S&T human resources, optimize organizational systems of laboratories, design and plan some grant projects, and manage other S&T‐related work in the field of nanoscience and nanotechnology, by measuring and mapping of technology‐fields correlation, with nanotechnology as an example.

Design/methodology/approach

Methodologies such as co‐occurrence analysis, correlation analysis, multidimensional scaling (abbr. as MDS) analysis, dendrogram (tree‐like) analysis, etc. are employed to measure and map technology‐fields correlation.

Findings

It is found that the exact relevance degree of any two technology‐fields exists among the top 33 technology‐fields with high frequencies. There are three industrial clusters in Multidimentional Scaling View, that is, nanotechnology used in bio‐medical industry, nanotechnology used in new material industry and nanotechnology used in electronic industry. Hierarchy of any two technology‐fields can be found out in the dendrogram view of the top 33 technology‐fields.

Originality/value

This paper could be of great significance to China's S&T managers and related policy makers, especially in the area of nanotechnology, in selecting and managing generic technology and the findings in this paper can be applied in some other fields of science and technology management in China. Both technology‐fields correlation analysis and MDS and dendrogram view analysis could benefit China's policy makers in managing nanotechnology research and development activities.

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Article
Publication date: 1 April 2014

Fatemeh Nooshinfard and Leila Nemati-Anaraki

The dynamism of new economy requires information professionals not only to create knowledge quickly but also to acquire and apply knowledge through knowledge sharing (KS)…

Abstract

Purpose

The dynamism of new economy requires information professionals not only to create knowledge quickly but also to acquire and apply knowledge through knowledge sharing (KS). So, determining factors that may influence knowledge sharing within an organization or among organizations has become an important area of research. This paper aims to review determinant factors influencing inter- and intra-organizational knowledge sharing in order to offer a framework.

Design/methodology/approach

The present paper proceeds in three phases. In the first phase, the published literature on knowledge sharing has been reviewed extensively with consideration of their empirical applications. Next, based on the understanding gained from the previous stage, a conceptual framework of successful factors for effective inter-organizational knowledge sharing has been proposed. In the third phase, the proposed framework has been developed and finalized towards its maturity.

Findings

Based on the literature, the authors have developed a framework for understanding factors which influence inter-organizational knowledge sharing. Knowledge sharing among organizations appears theoretically sound, but it is a difficult task due to some complexities.

Research limitations/implications

This paper attempts to set a theoretical framework for inter-organizational knowledge sharing as a foundation to address the gap in current literature though it does not claim to be comprehensive.

Originality/value

A few attempts have been made to investigate success factors for inter-organizational knowledge sharing empirically or even theoretically, but this is the first of its kind that provides a theoretical framework to arrange success factors for the knowledge sharing based on inter-organizational collaborations. It serves as a useful starting point for those interested in knowledge management (KM). So it can serve as a roadmap of significant knowledge sharing research for researchers, designers and managers considering their options for fostering KM.

Details

The Electronic Library, vol. 32 no. 2
Type: Research Article
ISSN: 0264-0473

Keywords

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Article
Publication date: 2 November 2020

Shu-Hao Chang

Defining key artificial intelligence (AI) technologies is especially fundamental because AI applications involve the development of multiple technical fields and have the…

Abstract

Purpose

Defining key artificial intelligence (AI) technologies is especially fundamental because AI applications involve the development of multiple technical fields and have the potential to generate numerous business opportunities in the future. However, most related studies have examined patent grants granted by or patent applications filed to major patent offices; few studies have employed the perspective of standard-essential patents (SEPs) from a holistic technical view. In addition, because few studies have explored the status signals of countries in relation to SEPs, the present study integrated “country” into the model and determined differences among countries in terms of their technological focus.

Design/methodology/approach

In this study, through patent technological network analysis in various periods, the author not only observed the focus fields of AI-related SEPs but also examined temporal trends to determine technical development trends.

Findings

This study identified technologies that have been key players in the SEP network in recent years; these technologies were centered on electric digital data processing, recognition of data and transmission of digital information. Moreover, many of these technologies have been applied in areas such as management and commerce and radio navigation. Furthermore, the USA plays a crucial role in the global development of AI technical network.

Originality/value

This study constructs a technical network model to identify key technologies and trends that can serve as a reference for national research and development resource allocation.

Details

Data Technologies and Applications, vol. 55 no. 1
Type: Research Article
ISSN: 2514-9288

Keywords

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