Non-technological and Technological Innovation: Strange Bedfellows?

Non-technological innovation is an important element of firms? innovation activities that both supplement and complement technological innovation, i.e. the introduction of new products and new processes. We analyse the spread of nontechnological innovation in firms, their relation to technological innovation, and their effects to firm performance and success with product and process innovation, using data from the German Community Innovation Survey conducted in 2005 (German CIS 4). Non-technological innovation is defined as the introduction of new organisational methods or the introduction of new marketing methods. We find that the determinants of a firm?s propensity to introduce technological and non-technological innovations are very similar and that both types are closely related. There are only small effects of non-technological innovation on a firm? profit margin, which contrasts the strong effects to be found from technological innovation. However, non-technological innovation spurs success with product and process innovation terms of sales with market novelties and cost reductions from new processes. --organisational innovation,marketing innovation,effects of innovation,CIS 4

The impact of non-technological innovation on technical innovation: do services differ from manufacturing? An empirical analysis of Luxembourg firms

Generally speaking, the support of technological innovation has been viewed in terms of input such as R&D and instruments such as legal protection. The literature on innovation highlights the interactive nature of the innovation process in which non-technological activities are essential. However, few works have taken into account the role of other innovative strategies such as marketing and organisational innovation, a role which may differ according to whether the firm is involved in manufacturing or in services. The purpose of this paper is to contribute to fill this gap by highlighting the effects of non-technological innovation strategies on technological innovation. For the empirical work, we used firm-level data drawn from the Community Innovation Survey 2006 for Luxembourg. Our results show that the effects of non-technological innovations differ depending on the phase of the innovation process. Marketing and organisational innovations significantly increase the likelihood of innovation, but not the commercial success of innovation. The study also shows the differentiated effects of the two types of non-technological innovation in manufacturing and service, and confirms the key role of organisational innovation for services.CIS; Innovation; Marketing; Organisation; Technological Innovation

Open Innovation, ambiguity and technological convergence

Objectives. Current paper aims to provide a fresh conceptual framework on the relationship among open innovation, decision ambiguity, and technological convergence. We argue that there is a curvilinear relationship between open innovation and both technological convergence and ambiguity. Contained level of convergence and ambiguity foster open innovation, whilst an excess of them is an impediment to collaboration. Technological convergence further acts as a moderator for ambiguity, in light of the benefits of isomorphism. Methodology. We propose a conceptual framework for open innovation decisions after accurately reviewing the main literature antecedents. Findings. We suggest an inverse u-shaped relationship between open innovation and either ambiguity or technological convergence. Research limits. In future, the theoretical framework proposed by thus study has to be tested with robust and proper statistical techniques on large scale samples. Practical implications. The model offers a heuristic for open innovation decisions under ambiguity. Originality of the study. To the best of our knowledge, the relationship linking open innovation, technological convergence and ambiguity emerges as a literature gap. This study tackles this issue, proposing an interpretation for the analysis of alliances decision in innovation

Innovation modes and productivity in the UK

This paper is motivated by the aim to develop appropriate indicators capturing modes of innovation by UK enterprises, examine how such innovation practices vary across regions and industries and explore the extent to which they have an impact on productivity. There is an emphasis on identifying and examining the relevance of non-technological innovation that builds on and extends previous research in this important area. Traditionally, measures of innovation have rested on single indicators such as patenting or R&D, supplemented, by product and process and process innovation outputs. More recently innovations in management, organisational and marketing areas are being brought into the picture and the relevant information collected by innovation surveys. Among indicators of innovation the distinctions between technological and non-technological innovations has often been loosely translated into either activities in manufacturing versus services, or into product and process innovations versus organisational and marketing innovations. While these simplifications of technological and non-technological innovation can be a practically useful, since data is readily available, they do not fully recognize that mixed modes of innovations are adopted by today’s firms; firms whose environments are characterised by increased competition, internationalisation and shorter product life cycles

Achieving Effective Innovation Based On TRIZ Technological Evolution

Organised by: Cranfield UniversityThis paper outlines the conception of effective innovation and discusses the method to achieve it. Effective Innovation is constrained on the path of technological evolution so that the corresponding path must be detected before conceptual design of the product. The process of products technological evolution is a technical developing process that the products approach to Ideal Final Result (IFR). During the process, the sustaining innovation and disruptive innovation carry on alternately. By researching and forecasting potential techniques using TRIZ technological evolution theory, the effective innovation can be achieved finally.Mori Seiki – The Machine Tool Compan

Democratization is the determinant of technological change

The purpose of this paper is to analyze the relationship between democracy and technological innovation. The primary findings are that most free countries, measured with liberal, participatory, and constitutional democracy index, have higher technological innovation than less free and more autocratic countries, so that the former have a higher interaction among social, economic and innovation systems with fruitful effects on economic growth and the wealth of nations. In fact “democracy richness” in these countries displays a higher rate of technological innovation. In addition, democratization is an antecedent process (cause) to technological innovation (effect), which is a major wellknown determinant of economic growth. These findings lead to the conclusion that policy makers need to be cognizant of positive association between democratization and technological innovation to sustain modern economic growth and future technological progress in view of the accelerating globalization.Democratization, Technological Innovation, Patents, Royalty Licenses Fee, Economic Grow

The art, poetics, and grammar of technological innovation as practice, process, and performance

Usually technological innovation and artistic work are seen as very distinctive practices, and innovation of technologies is understood in terms of design and human intention. Moreover, thinking about technological innovation is usually categorized as “technical” and disconnected from thinking about culture and the social. Drawing on work by Dewey, Heidegger, Latour, and Wittgenstein and responding to academic discourses about craft and design, ethics and responsible innovation, transdisciplinarity, and participation, this essay questions these assumptions and examines what kind of knowledge and practices are involved in art and technological innovation. It argues that technological innovation is indeed “technical”, but, if conceptualized as techne, can be understood as art and performance. It is argued that in practice, innovative techne is not only connected to episteme as theoretical knowledge but also has the mode of poiesis: it is not just the outcome of human design and intention but rather involves a performative process in which there is a “dialogue” between form and matter and between creator and environment in which humans and non-humans participate. Moreover, this art is embedded in broader cultural patterns and grammars—ultimately a ‘form of life’—that shape and make possible the innovation. In that sense, there is no gap between science and society—a gap that is often assumed in STS and in, for instance, discourse on responsible innovation. It is concluded that technology and art were only relatively recently and unfortunately divorced, conceptually, but that in practices and performances they were always linked. If we understand technological innovation as a poetic, participative, and performative process, then bringing together technological innovation and artistic practices should not be seen as a marginal or luxury project but instead as one that is central, necessary, and vital for cultural-technological change. This conceptualization supports not only a different approach to innovation but has also social-transformative potential and has implications for ethics of technology and responsible innovation

Technological innovation persistence: Literature survey and exploration of the role of organizational innovation

In this paper, we will review the literature on technological innovation persistence and provide a general theoretical framework to analyze the main determinants of this innovative behavior. Moreover, no previous empirical study has taken into account organizational innovation practices as possible determinants of innovation persistence. We will therefore include them, as previous studies have shown the interaction effects between the two types of innovation, and produce empirical results on technical innovation persistence. A multinomial probit model was used to estimate the likelihood of belonging to each of the three longitudinal innovation profiles. Results confirm the differentiated impact of determinants on process and technological innovation persistence, and the effect of R&D intensity, R&D cooperation and competition intensity. As hypothesized, we also found that organizational innovation is a determinant factor for innovation persistence and, more generally speaking, for technological innovation, in particular organizational practices such as knowledge management and external partnerships.Persistence; Innovation; Technological innovation; Organizational innovation; R&D

What do we really know about when technological innovation improves performance (and when it does not)?

Most approaches to innovation bear the implicit assumption that increased innovativeness leads to improved organizational performance. Thus, more attention has been focused on innovativeness than on innovation performance; on novelty than on value. However, recent empirical evidence calls into question the unqualified optimism surrounding innovation, and leads us to ask what we really know about when technological innovation improves performance. In this paper, we seek to make a contribution by presenting the results of an exhaustive review of extant knowledge on the outcomes of technological innovation. Our synthesis of the literature allows us to relate in one parsimonious model the drivers and moderators of the antecedents, technical outcomes, and performance outcomes of technological innovation and technological change. We also make sense of the proliferation of terms, and consequent terminological ambiguity, which characterizes a lot of work on technological innovation. Finally, in the light of the model presented and recent developments in work on firm capabilities, we indicate possible avenues for further development of this critical area of research.Technological innovation; organizational performance; innovation and innovativeness;

Determining Technological Innovation and Competitiveness: a Cross Organizational Analysis of the Malaysian Manufacturing Industry

This study analyzed the determinants of technological innovation in the Malaysian manufacturing industry. Its main purpose is to identify a set of management- related variables characterizing Malaysian innovative firms. Moreover, the study aimed to test whether the set of determinant differs for firms with different technological trajectories. A sample of 204 Malaysian firms was used for the investigation, with one respondent from each firm. The questionnaire measured the technological innovation, as well as 5 main potential determinants of innovation adopted from literature. Statistical analysis used, including bivariate correlation and multivariate regression, in identifying association between the technological innovation and the determining variables. The results of the analysis lead the researcher to the model of 5 important determining factors of technological innovation. The important factors were intensity of R&D, trvhnoogical trajectories,intensity of marketing, engineers, scientist and managers with experience locally and technical competency of personnel,. The analysis of technological trajectories confirmed the hypotheses that set of important determinants of innovation as well as the extent of technological innovation differs for firms in different innovation processes