European Innovation and Technology Development

1991 ◽  
Author(s):  
R.W. Johnson
Keyword(s):  
Technology Development ◽  
Innovation And Technology

Innovation policy-making in the upstream oil and gas industry as a large technical system under economic transition

2019 ◽  
Vol 11 (1) ◽  
pp. 107-128
Author(s):  
S. Sepehr Ghazinoory ◽  
Shiva Tatina ◽  
Mehdi Goodarzi
Keyword(s):  
Policy Making ◽  
Q Methodology ◽  
Oil And Gas ◽  
Technology Development ◽  
Economic Transition ◽  
Innovation Policy ◽  
Oil And Gas Industry ◽  
Technical System ◽  
Content Type ◽  
Innovation And Technology

Purpose Innovation and technology development policy-making naturally encounters numerous uncertainties and complexities, especially in developing countries, for the sake of the prevailing prospect of decision makers focusing on hard evidences, and neglecting key and effective social ones; in this research, a context-based method by means of Q-methodology was designed to facilitate policy-making for complex systems by bridging between policy and practices (latent in viewpoints) through providing context-based evidences. Design/methodology/approach Due to the nature of knowledge-based systems, the performance of Innovation and Technology Development (ITD) systems is highly dependent on the standpoints of key players/stakeholders of the system. In consideration of Iran’s economy characteristics, Upstream Oil and Gas (UOG) Industry, which is one of the complex Large Technical Systems (LTS), was selected as a case study. Regarding the features of LTSs, the designed model was completed by adding hierarchical clustering method, as well as using the framework of innovation and technology learning transition model to analyze the results. Findings The results showed the capability of the model in providing credible evidences to inform policy-making processes. Originality/value This study is one of the first real experiences which used Q-method for providing evidence-based policy-making model in a complex Large Technical System, namely, Upstream Oil and Gas (UOG) Industry.

Technology Development and Innovative Practice

2010 ◽  
pp. 55-81
Author(s):  
Robert S. Friedman ◽  
Desiree M. Roberts ◽  
Jonathan D. Linton
Keyword(s):  
Quantitative Methods ◽  
Success Factors ◽  
Technology Development ◽  
Technological Development ◽  
Structural Differentiation ◽  
Organizational Variables ◽  
Innovative Practice ◽  
Structural Relationships ◽  
The Social ◽  
Innovation And Technology

This chapter on innovative practice supporting technological development has several thematic overlays that show some consistency in terms of patterns, but also some diversity in terms of strategies that researchers have employed in this area. Beginning with Hage and Aiken’s (1969) seminal work on routinization and how the social structures of organizations affect technological development and innovation, readers will see two general trends in terms of approach: the statistical and the sociological. Whether it is Aldrich’s (1972) use of path analysis to study the nature and effects of organizational variables on innovative practice, or Rothwell et al.’s (1974) identification of innovation success factors, or Downs and Mohr’s (1976) defining of innovation through factors of variability, quantitative methods are shown to be increasingly powerful tools in identifying the nature of innovation and technology development. Nelson and Winter (1977) continue in this vein by establishing an inclusive theoretical structure for innovation, Dewar and Hage (1978) identify variables of structural differentiation and complexity that affect this domain, and Kimberly and Evanisko (1981) suggest variables to follow that come from both within individual organization units and their wider contexts. Pavitt (1984) uses sectoral pattern analysis to describe how a combination of technology sources, user requirements, and potential technology appropriation affect how we understand technical change and the structural relationships between technology and industry. Fisher and Fry (1971) end the quantitatively based section with a discussion of their substitution forecasting model.

scholarly journals The Challenge of User-And QoE-Centric Research and Product Development in Today's ICT-Environment

1970 ◽  
Vol 1 (3) ◽  
Author(s):  
Lieven De Marez ◽  
Katrien De Moor
Keyword(s):  
Technology Development ◽  
Central Place ◽  
Life Cycles ◽  
New Approach ◽  
Innovation And Technology ◽  
User Expectations ◽  
User Centric ◽  
Definition Of ◽  
Development Literature

Within today’s ICT environment, trends like a growing convergence and increasing competition, have led to a fast-changing market with an increasing speed of innovation development and shortening product life cycles. Because of the skipping of research stadia, the lack of insight in the end-user expectations, needs, experiences, and of suitable methodologies … the number of failing innovations has increased remarkably. On the other hand, the boom on the supply-side led to an enormeous empowerment of the consumer. Influenced by these trends, a clear evolution towards a more user-centric, ‘pull’-driven mentality started to manifest itself from the early nineties on. In this respect, the concept of ‘Quality of Experience’(QoE) started to acquire a central place in today’s innovation and technology development literature, as the success of innovations has become highly dependent on the experience of the user. This paper focuses on two major challenges 1) ‘What is QoE?’: to date, there still exists a lot of inconsistency and confusion about the interpretation and definition of QoE. In order to tackle this challenge a conceptual model of QoE is presented. The second challenge is related to the question 2) ‘How should QoE be measured?’ In this respect, an overview of the most important problems is given and a new approach for more user-centric QoE-measurement is proposed.

scholarly journals Contraste entre los determinantes de la inversión en I&D y del registro de patentes en sectores industriales de Colombia

2016 ◽  
Vol 17 (27) ◽  
pp. 185
Author(s):  
Jorge Juliao Rossi ◽  
Julia Pineda Acero ◽  
Fernando Barrios Aguirre
Keyword(s):  
Performance Indicators ◽  
Direct Relationship ◽  
Technology Development ◽  
Innovation Performance ◽  
Industrialized Countries ◽  
Emerging Country ◽  
Innovation And Technology ◽  
D Investment

<p>Resumen</p><p>Esta investigación contrasta los determinantes del esfuerzo innovador y del conteo de patentes de sectores industriales de una economía emergente. En muchos estudios se tiende a considerar el gasto en I&amp;D y el conteo de patentes como indicadores de desempeño innovador. Sin embargo, el presente trabajo prueba que el esfuerzo innovador y el registro de patentes son dos comportamientos diferentes, no directamente relacionados y sin los mismos determinantes. Se usan datos provenientes de la tercera encuesta de desarrollo e innovación tecnológica (DANE–DNP–COLCIENCIAS). Los resultados sugieren que las condiciones del desarrollo tecnológico e institucional de Colombia se reflejan en relaciones entre determinantes y los dos indicadores de desempeño innovador, distintas de las que se observan en países industrializados.</p><p>Abstract<strong> </strong></p><p>In this research are contrasted the determinants of R&amp;D investment and patent count of industries belonging to an emerging country. In many studies is common to consider indistinctly these indicators as a proxy of innovation performance. However, this research shows that R&amp;D investment and patent count are two different behavior: these don not have necessarily a direct relationship and the same determinants. It was used de data provided for third survey of Innovation and Technology Development (in forward EDIT) (DANE–DNP–COLCIENCIAS). The results obtained suggest that the institutional and technological conditions of Colombia are reflected in some relationships between innovation determinants and both innovation performance indicators used different from that observed in industrialized countries.</p>

scholarly journals Innovation Readiness Assessment toward Research Commercialization: Case of Surfactants for Food Processing

2018 ◽  
Vol 6 (2) ◽  
pp. 180-193 ◽  
Author(s):  
Arief Ameir Rahman Setiawan ◽  
Anny Sulaswatty ◽  
Yenny Meliana ◽  
Agus Haryono
Keyword(s):  
Food Processing ◽  
Assessment Tool ◽  
Technology Development ◽  
Readiness Assessment ◽  
Innovation And Technology ◽  
Readiness Level ◽  
Technology Market ◽  
Market Organization ◽  
Further Development ◽  
Glycerol Mono

Determining the readiness of research toward commercialization becomes significant issues encountered by the institution working on research, innovation and technology development. Particularly in food processing area, the issue is much more involving other aspects aside from technological matter, hence, an assessment tool should be consider these aspects altogether to capture integrated perspective. This study explored the use of Innovation Readiness Level to measures the maturity of research from the perspective of technology, market, organization, partnership and risk. Case of surfactant researches in the Research Center for Chemistry, Indonesian Institute of Sciences will be deployed as examples of study. According to the assessment, it has been obtained the surfactant recommended for further development towards commercialization of R D results for food processing, i.e. Glycerol Mono Stearate (GMS), which has reached the level of IRL 3. This finding resulted some implications for improvements strategies to foster the research toward commercialization.

scholarly journals Social capital dimensions, innovation, and technology in Europe: a case-studies meta-synthesis

2018 ◽  
Vol 6 (3) ◽  
pp. 232-255
Author(s):  
Leandro Rodrigo Canto Bonfim ◽  
Andréa Paula Segatto ◽  
Adriana Roseli Wünsch Takahashi
Keyword(s):  
Social Capital ◽  
Case Studies ◽  
Technology Development ◽  
Social Dimensions ◽  
Qualitative Case Studies ◽  
Innovation And Technology ◽  
Contextual Dependence ◽  
Intraorganizational Networks ◽  
Development Outcomes ◽  
Innovation Outcomes

This article aims to improve the understanding on how structural, relational, and cognitive dimensions of social capital influence innovation outcomes on interorganizational and intraorganizational networks. A meta-synthesis research design with eight selected qualitative case studies located in a European context were conducted. The patterns of causal relationships among the variables presented in the case studies were identified. The antecedents of social capital dimensions, the influence of the dimensions on reducing barrier or impediments for innovation and on the enhancement of enablers or facilitators of innovation outcomes, and the direct effects of social capital dimensions on innovation compose the resulting framework. Furthermore, differences between the influence of social capital dimensions on innovation and technology in interorganizational and intraorganizational setting in European companies were found. The meta-synthesis this research relies on another researcher’s insights and interpretation of data, being susceptible to their bias. Adopting qualitative case studies insights for getting to an analytical generalization reduces the deepness, richness, and contextual dependence of original authors’ findings. The findings could help organizations developing optimal conditions for the improvement of the likelihood of gathering innovation and technology and development outcomes from both interorganizational and intraorganizational networks. This article contributes for both innovation and technology development and social capital literature by proposing an integrated framework comprised of social capital antecedents and the role of social dimensions on reducing barriers or impediments, enhancing enablers or facilitators, and affecting innovation outcomes directly.

Application of MSTAM Methodology in Project Management

2019 ◽  
pp. 298-323
Author(s):  
Siu Cheung Ho ◽  
Kong Bieng Chuah
Keyword(s):  
Supply Chain ◽  
Technology Development ◽  
Two Dimensions ◽  
Supply Side ◽  
Demand Side ◽  
User Perspective ◽  
Innovation And Technology ◽  
Project Deliverables ◽  
Pilot Implementation

Innovation technology development and commercialization are not new, but this is a hot topic in this decade in Hong Kong. The relevant researches are focused on two dimensions from research and development (R&D) technologist perspective (supply-side) and industry user perspective (demand-side). This is a part of the author's engineering doctorate thesis. The thesis title is “An Analysis of the Determinants of Innovation and Technology Fund (ITF) R&D Projects Commercialization in Hong Kong's Logistics and Supply Chain Industries.” A pilot implementation case study has been conducted and tested, and the MSTAM methodology are workable for ITF R&D project deliverables commercialization to the industry.

Beyond multidirectional technology transfer

2018 ◽  
Vol 32 (5) ◽  
pp. 312-325 ◽  
Author(s):  
Mariacarmela Passarelli ◽  
Alfio Cariola ◽  
Pino Vecellio
Keyword(s):  
Technology Transfer ◽  
Technology Development ◽  
Single Case ◽  
Proof Of Concept ◽  
Science Park ◽  
Research Systems ◽  
Innovation And Technology ◽  
Development Technology ◽  
Practical Implications

This article focuses on co-development technology transfer models. It offers an empirical analysis of a pioneer model applied in Italy: the proof-of-concept network (PoCN) applied by AREA Science Park in Trieste. Starting with a review of the literature, the authors identify the drivers that facilitate collaboration between the industrial and research systems in the embryonic phase of technology development. Then, discussing the PoCN model, the article analyzes and explores an emerging phenomenon that is as yet poorly understood. The application of a model for co-development, in fact, highlights many advantages for both firms and the research system and improves the efficiency of matching between these distant and heterogeneous sectors. The authors report a single case study which, while appearing to be a limitation of the article, offers elements of originality because it concerns the first applied co-development model in Italy. There are many practical implications, not only for firms and research institutions but also for policymakers who seek to implement public policies to support innovation and technology transfer.

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