The Experts below are selected from a list of 8175 Experts worldwide ranked by ideXlab platform
Mauricio Camargo - One of the best experts on this subject based on the ideXlab platform.
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evaluating innovative processes in french firms methodological proposition for firm Innovation Capacity evaluation
Research Policy, 2014Co-Authors: Vincent Boly, Laure Morel, Ndoli Guillaume Assielou, Mauricio CamargoAbstract:Measuring Innovation processes is a major concern for academics and firm managers. This study proposes an Innovation Capacity (IC) measure framework based on a set of 15 Innovation management practices. Every practice is subdivided into multiple criteria which are directly observable phenomena or facts. The statistical method of value test and a multi-criteria approach are adopted to propose a typology of four groups of innovative firms (proactive, preactive, reactive, passive). The features observed on these groups of firms allow the determination of the firms’ Innovation Capacity and are useful for providing recommendations and practical actions for them, with a view to reinforcing it. Data from a sample group of 39 small and medium sized enterprises (SMEs) in the manufacturing industry in Lorraine, France were collected via a field survey and were fed into the model to determine the Innovation Capacity of the companies.
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Evaluating innovative processes in french firms: Methodologicalproposition for firm Innovation Capacity evaluation
Research Policy, 2014Co-Authors: Vincent Boly, Laure Morel, Guillaume Assielou N'doli, Mauricio CamargoAbstract:tMeasuring Innovation processes is a major concern for academics and firm managers. This study proposesan Innovation Capacity (IC) measure framework based on a set of 15 Innovation management practices.Every practice is subdivided into multiple criteria which are directly observable phenomena or facts.The statistical method of value test and a multi-criteria approach are adopted to propose a typology offour groups of innovative firms (proactive, preactive, reactive, passive). The features observed on thesegroups of firms allow the determination of the firms' Innovation Capacity and are useful for providingrecommendations and practical actions for them, with a view to reinforcing it. Data from a sample groupof 39 small and medium sized enterprises (SMEs) in the manufacturing industry in Lorraine, France werecollected via a field survey and were fed into the model to determine the Innovation Capacity of thecompanies.
Antonio Lerro - One of the best experts on this subject based on the ideXlab platform.
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The Regional Innovation Capacity Model
Regional Development, 2020Co-Authors: Antonio Lerro, Giovanni SchiumaAbstract:This chapter aims to present a conceptual model aimed to understand the Intellectual Capital-based (IC) characteristics of the regional Innovation Capacity. The proposed Regional Innovation Capacity Model (RICM) can be used for interpretative and normative purposes to analyse the Innovation dynamics taking place at regional and territorial level. From an interpretative point of view, the model identifies the pillars grounding the Innovation Capacity of a local system. While, from a normative perspective, the model can inspire the definition of guidelines driving the design and the implementation of actions, projects and programmes aimed to stimulate and sustain regional development dynamics. The RICM adopts a knowledge-based perspective assuming that IC, in the forms of regional knowledge assets, and knowledge dynamics, in the form of knowledge transfer and learning processes, are the drivers of innovative processes and outputs. The chapter concludes proposing a future research agenda.
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knowledge based capital in building regional Innovation Capacity
Journal of Knowledge Management, 2008Co-Authors: Giovanni Schiuma, Antonio LerroAbstract:Purpose – The purpose of this paper is to investigate the role and the relevance of knowledge‐based capital as a strategic resource and a source of regional Innovation Capacity. The paper identifies human, relational, structural and social capital as the four main knowledge‐based categories building the knowledge‐based capital of a region. The role of each knowledge‐based category in determining regional Innovation Capacity is analyzed. Specifically, the authors discuss the relationships among the knowledge‐based categories and a regional Innovation Capacity.Design/methodology/approach – The paper is based on an in‐depth literature review of the knowledge management and regional Innovation research stream. The fundamental underlying research questions that have driven the research are: “What are the knowledge‐based capital categories affecting a region's Innovation Capacity?” and “How do knowledge‐based categories influence regional Innovation Capacity?”. The paper is conceptual in its nature and aims to ...
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Knowledge‐based capital in building regional Innovation Capacity
Journal of Knowledge Management, 2008Co-Authors: Giovanni Schiuma, Antonio LerroAbstract:Purpose – The purpose of this paper is to investigate the role and the relevance of knowledge‐based capital as a strategic resource and a source of regional Innovation Capacity. The paper identifies human, relational, structural and social capital as the four main knowledge‐based categories building the knowledge‐based capital of a region. The role of each knowledge‐based category in determining regional Innovation Capacity is analyzed. Specifically, the authors discuss the relationships among the knowledge‐based categories and a regional Innovation Capacity.Design/methodology/approach – The paper is based on an in‐depth literature review of the knowledge management and regional Innovation research stream. The fundamental underlying research questions that have driven the research are: “What are the knowledge‐based capital categories affecting a region's Innovation Capacity?” and “How do knowledge‐based categories influence regional Innovation Capacity?”. The paper is conceptual in its nature and aims to ...
Vincent Boly - One of the best experts on this subject based on the ideXlab platform.
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evaluating innovative processes in french firms methodological proposition for firm Innovation Capacity evaluation
Research Policy, 2014Co-Authors: Vincent Boly, Laure Morel, Ndoli Guillaume Assielou, Mauricio CamargoAbstract:Measuring Innovation processes is a major concern for academics and firm managers. This study proposes an Innovation Capacity (IC) measure framework based on a set of 15 Innovation management practices. Every practice is subdivided into multiple criteria which are directly observable phenomena or facts. The statistical method of value test and a multi-criteria approach are adopted to propose a typology of four groups of innovative firms (proactive, preactive, reactive, passive). The features observed on these groups of firms allow the determination of the firms’ Innovation Capacity and are useful for providing recommendations and practical actions for them, with a view to reinforcing it. Data from a sample group of 39 small and medium sized enterprises (SMEs) in the manufacturing industry in Lorraine, France were collected via a field survey and were fed into the model to determine the Innovation Capacity of the companies.
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Evaluating innovative processes in french firms: Methodologicalproposition for firm Innovation Capacity evaluation
Research Policy, 2014Co-Authors: Vincent Boly, Laure Morel, Guillaume Assielou N'doli, Mauricio CamargoAbstract:tMeasuring Innovation processes is a major concern for academics and firm managers. This study proposesan Innovation Capacity (IC) measure framework based on a set of 15 Innovation management practices.Every practice is subdivided into multiple criteria which are directly observable phenomena or facts.The statistical method of value test and a multi-criteria approach are adopted to propose a typology offour groups of innovative firms (proactive, preactive, reactive, passive). The features observed on thesegroups of firms allow the determination of the firms' Innovation Capacity and are useful for providingrecommendations and practical actions for them, with a view to reinforcing it. Data from a sample groupof 39 small and medium sized enterprises (SMEs) in the manufacturing industry in Lorraine, France werecollected via a field survey and were fed into the model to determine the Innovation Capacity of thecompanies.
Giovanni Schiuma - One of the best experts on this subject based on the ideXlab platform.
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The Regional Innovation Capacity Model
Regional Development, 2020Co-Authors: Antonio Lerro, Giovanni SchiumaAbstract:This chapter aims to present a conceptual model aimed to understand the Intellectual Capital-based (IC) characteristics of the regional Innovation Capacity. The proposed Regional Innovation Capacity Model (RICM) can be used for interpretative and normative purposes to analyse the Innovation dynamics taking place at regional and territorial level. From an interpretative point of view, the model identifies the pillars grounding the Innovation Capacity of a local system. While, from a normative perspective, the model can inspire the definition of guidelines driving the design and the implementation of actions, projects and programmes aimed to stimulate and sustain regional development dynamics. The RICM adopts a knowledge-based perspective assuming that IC, in the forms of regional knowledge assets, and knowledge dynamics, in the form of knowledge transfer and learning processes, are the drivers of innovative processes and outputs. The chapter concludes proposing a future research agenda.
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knowledge based capital in building regional Innovation Capacity
Journal of Knowledge Management, 2008Co-Authors: Giovanni Schiuma, Antonio LerroAbstract:Purpose – The purpose of this paper is to investigate the role and the relevance of knowledge‐based capital as a strategic resource and a source of regional Innovation Capacity. The paper identifies human, relational, structural and social capital as the four main knowledge‐based categories building the knowledge‐based capital of a region. The role of each knowledge‐based category in determining regional Innovation Capacity is analyzed. Specifically, the authors discuss the relationships among the knowledge‐based categories and a regional Innovation Capacity.Design/methodology/approach – The paper is based on an in‐depth literature review of the knowledge management and regional Innovation research stream. The fundamental underlying research questions that have driven the research are: “What are the knowledge‐based capital categories affecting a region's Innovation Capacity?” and “How do knowledge‐based categories influence regional Innovation Capacity?”. The paper is conceptual in its nature and aims to ...
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Knowledge‐based capital in building regional Innovation Capacity
Journal of Knowledge Management, 2008Co-Authors: Giovanni Schiuma, Antonio LerroAbstract:Purpose – The purpose of this paper is to investigate the role and the relevance of knowledge‐based capital as a strategic resource and a source of regional Innovation Capacity. The paper identifies human, relational, structural and social capital as the four main knowledge‐based categories building the knowledge‐based capital of a region. The role of each knowledge‐based category in determining regional Innovation Capacity is analyzed. Specifically, the authors discuss the relationships among the knowledge‐based categories and a regional Innovation Capacity.Design/methodology/approach – The paper is based on an in‐depth literature review of the knowledge management and regional Innovation research stream. The fundamental underlying research questions that have driven the research are: “What are the knowledge‐based capital categories affecting a region's Innovation Capacity?” and “How do knowledge‐based categories influence regional Innovation Capacity?”. The paper is conceptual in its nature and aims to ...
Robert D Weaver - One of the best experts on this subject based on the ideXlab platform.
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the influence of relationship quality on the Innovation Capacity in traditional food chains
Supply Chain Management, 2013Co-Authors: Bianka Kuhne, Xavier Gellynck, Robert D WeaverAbstract:Purpose – Relational aspects between actors in a chain have been found to influence Innovation Capacity. Yet, many studies focus rather on groups of chain members, without investigating personalized links between the chain members. Other research involved case‐studies on a limited number of individual chains. The purpose of this paper is to examine quantitatively how the perceived relationship quality among three relational linked chain members affects the Innovation Capacity in traditional food chains beyond the dyad.Design/methodology/approach – Evidence is drawn from a survey of 90 triplets of firms (three interlinked chain members), with each triplet belonging to a single individual traditional food chain. Research was conducted in three European countries and six traditional food product categories. Heterogeneity across these chains is examined based on cluster analysis. Binary logistic regression is used to examine the influence of relationship quality on the Innovation Capacity in the chains.Findin...
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Innovation Capacity of food chains: a novel approach
2011Co-Authors: Xavier Gellynck, Bianka Kuhne, Robert D WeaverAbstract:Our study aims at being the starting point for a novel approach of investigating the Innovation Capacity of and the relationships in the whole chain. We combine the analyses of the Innovation process and the Innovation system, thereby, following the theory of the new economy. Extensive data collection was conducted in the traditional food sector with SME-food manufacturers (FMs) and their suppliers and customers, in order to compare a large number of individual chains by applying multivariate statistical methods. Our study reveals that the comparison of individual chains delivers valuable results. It is shown that chains with three different types of Innovation Capacity exist in the traditional food sector: low, medium and high. These chains differ according their chain relationship quality in terms of trust, reputation and conflict. For future research, we suggest to gradually increase the degree of complexity of the studied system.
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Network connections and Innovation Capacity in traditional agrifood chains
2010Co-Authors: Bianka Kuhne, Xavier Gellynck, Robert D WeaverAbstract:In the New Economy, the network is considered as more important than the firm itself. In this paper the focus is on chain networks which include vertical networks among chain members, horizontal networks with peers, and networking with third parties. Networks have an important role in the diffusion and adoption of Innovations, thus they are the locus of Innovation. While previous research focused on the firm, we contribute to the understanding of Innovations in chain networks, i.e. we investigate the Innovation Capacity in vertical networks and how networking with peers and third parties is influencing the Innovation Capacity of the vertical network. We propose that there is a positive relationship between the network connections the direct chain partners have with peers and third parties and the Innovation Capacity of the vertical network. Data were collected from 90 direct agrifood chains in the traditional food sector. Cluster analysis suggested three clusters of chains corresponding to three distinct levels of Innovation Capacity: low, medium and high. Via descriptive analysis and binary logistic regression the influence of networking with peers and third parties on the Innovation Capacity of the vertical network was investigated. Our results confirm our proposition. However, we found that the chain partners are either horizontally or vertically networking for Innovation. Nevertheless, more networking within the chain and with peers and third parties is linked to higher levels of Innovation Capacity. Consequently, our study adds to the research in the field of the New Economy by deepening the understanding of how Innovation Capacity is developed in vertical networks. We can confirm that the network is very important for the development and implementation of Innovations and that the Innovation Capacity of one firm is linked to the Innovation Capacity of its chain partners. For future research we propose to investigate the link between networking for Innovation and types of Innovation which can be achieved. Further, future research should explore further inter-organizational links in the chain network and explore wider networks than the direct chain.
