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The purpose of this paper is to test the existence of true persistence in the generation and adoption of product innovations in the context of a developing country.

A dynamic probit model with random effects is used to test true persistence relying on a panel data set constructed from three waves of the Colombian innovation survey (Encuesta de Desarrollo e Innvovación Tecnológica) covering the time span from 2003 to 2008.

This paper empirically shows the existence of true innovation persistence for two of the three types of product innovation studied: the adoption of product innovation that is new to the firm; and the adoption of product innovation that is new to the national market. However, the study could not confirm true persistence in the generation of product innovation.

To the best of our knowledge, this is the first study that systematically tests innovation persistence differentiating between the adoption of innovations that are new to the firm and innovation that is new to the national market. It is also the first study in this research area that uses a dynamic probit model with random effects according to the original specification by Wooldridge (2005).

En este trabajo se prueba la existencia de verdadera persistencia en la generación y adopción de innovaciones de productos en el contexto de un país en desarrollo.

Para probar la existencia de verdadera persistencia se estima un modelo probit dinámico con efectos aleatorios utilizando tres cohortes de la Encuesta de Desarrollo e Innvovación Tecnológica (EDIT) que cubren el periodo de tiempo 2003-2008.

Este trabajo muestra empíricamente la existencia de verdadera persistencia en dos de los tres tipos de innovación de productos estudiados: en i) la adopción de innovación de productos nuevo para la empresa, y ii) la adopción de innovación de productos nuevo para el mercado nacional. Sin embargo, el estudio no pudo confirmar la verdadera persistencia en la generación de innovación de productos.

Este es el primer estudio que evalúa sistemáticamente la persistencia en la innovación diferenciando entre la adopción de innovaciones que son nuevas para la empresa de las que lo son para el mercado nacional. También es el primer estudio en esta área de investigación que utiliza un modelo probit dinámico con efectos aleatorios de acuerdo con la especificación original de Wooldridge (2005).

Although most of the literature supports the existence of a substitutive relationship between exploration and exploitation, some authors suggest that this relationship is complementary (ambidexterity), and others argue that there is no relationship. This paper aims to introduce organizational innovation into the analysis and discusses which of these three relationships prevails.

Analyses were performed using data from Spanish Technological Innovation Panel for the period 2008-2013. It should be emphasized that the use of panel data is essential in the analysis of the interaction of exploration and exploitation, as exploration only makes sense in the long run. Econometric strategy uses a two-stage selection model, estimated using the Wooldridge’s (1995) consistent estimator for panel data with sample selection. To perform the test, the hypothesis uses the approach of complementarity.

The results show that the relationships exploration-organizational innovation and exploitation-organizational innovation are complementary, provided that the analysis is performed on companies that simultaneously carry out exploration and exploitation activities, respectively. This indicates that the achievement of ambidexterity is strongly conditioned by the simultaneous realization of organizational innovations.

Managers and policymakers should be aware that the simultaneous implementation of exploration and exploitation yields better results when the corresponding organizational innovations are also implemented.

This paper extends the empirical investigation of the relationship between exploration and exploitation, seen in conjunction with organizational innovation, and using the complementarity approach as a research tool.

Innovation dynamics have been the object of study of several researchers, focusing in particular on technological innovation and the emergence of a dominant design. However, these models have been challenged by how the pervasiveness of digital technologies is speeding up the pace at which innovation evolves. On the other hand, a growing body of literature in innovation management has started underlining the relevance of new product and service meanings as a source of innovation.

This research aims to study the different innovation dynamics within an industry, investigating not only how companies react to fast-changing functional advancements but rather how their behavior changes as shifts in meaning occur. To properly assess the phenomenon, this longitudinal study analyzes the social media industry, strongly subjected to continuous functional advancements, through a deep dive in the 160 innovations introduced between 2003 and 2017 by the eight leading players in the industry.

Our results illustrate the co-existence of different approaches to innovation within an industry and hint that consequent and fast cycles of innovation in both functionalities and meanings discourage the emergence of a dominant design.

Our results help managers and innovators acknowledge the possibility to leverage not just on the technological dimension of innovation but also the reason why people use a given product or service, innovating its meaning. Furthermore, our results recognize the co-existence of different innovation streams upon which innovators can act.

This research contributes to the extant literature in innovation management, extending the classical models of innovation dynamics by including the evolution of innovations of meaning in relation to technological innovation.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

We explore the impact of a specific knowledge management framework on the quality of innovation, the geographic distribution of R&D and the cross-regional integration. We use directly observed indicators of cross-regional knowledge application within the firm as well as examine collaborative mechanisms that firms may use to promote such knowledge translation.

Our analysis is based upon successful patents in biotechnology sector applied for during 2011–2014. The empirical assessment follows a mixed method approach. The sample used for testing the empirical hypotheses is composed of 130,720 patents from 860 large US firms. The sample of patents was obtained from USPTO and NBER dataset.

The idea of this paper was to introduce a model specifically developed for the process of knowledge translation. This research contributes to the literature related to the emergent and new issue namely collaborative knowledge translation (CKT), especially emphasizing the key role of the knowledge translation practices and tools for the internationalization of R&D teams and supporting the quality of innovations in different ways.

This research is conceptually based on the broader concepts of spiral of knowledge of Nonaka and Takeuchi. In spite of the increasing research in innovation, few studies have been done about the diverse contexts' role in the knowledge flows supporting the innovation development. In the attempt to cover this gap, the objective of this research is to answer the following main research question: How to support and manage the process of knowledge translation in innovation processes occurring in collaborative teams?

This paper aims to examine the interrelation between two innovating strategies (product and process) on total factor productivity (TFP) growth and the dynamic linkages between these strategies, for Colombia. The authors first explore whether ex ante more productive firms are those that introduce innovations (the self-selection hypothesis) and if the introduction of innovations boosts TFP growth (the returns-to-innovation hypothesis). Second, the authors study the firm’s joint dynamic decision to implement process and/or product innovations. The authors use Colombian manufacturing data from the Annual Manufacturing and the Technological Development and Innovation Surveys.

This study uses a four-stage procedure. First, the authors estimate TFP using a modified version of Olley and Pakes (1996) and Levinsohn and Petrin (2003), proposed by De Loecker (2010), that implements an endogenous Markov process where past firm innovations are endogenized. This TFP would be estimated by GMM, Wooldridge (2009). Second, the authors use multivariate discrete choice models to test the self-selection hypothesis. Third, the authors explore, using multi-value treatment evaluation techniques, the life span of the impact of innovations on productivity growth (returns to innovation hypothesis). Fourth, the authors analyse the joint likelihood of implementing process and product innovations using dynamic panel data bivariate probit models.

The investigation reveals that the self-selection effect is notably more pronounced in the adoption of process innovations only, as opposed to the adoption of product innovations only or the simultaneous adoption of both process and product innovations. Moreover, our results uncover distinct temporal patterns concerning innovation returns. Specifically, process innovations yield immediate benefits, whereas implementing both product innovations only and jointly process and product innovations exhibit significant, albeit delayed, advantages. Finally, the analysis confirms the existence of dynamic interconnections between the adoption of process and product innovations.

The contribution of this work to the literature is manifold. First, the authors thoroughly investigate the relationship between the implementation of process and product innovations and productivity for Colombian manufacturing explicitly recognising that firms’ decisions of adopting product and process innovations are very likely interrelated. Therefore, the authors start exploring the self-selection and the returns to innovation hypotheses accounting for the fact that firms might implement process innovations only, product innovations only and both process and product innovations. In the analysis of the returns of innovation, the fact that firms may choose among a menu of three innovation strategies implies the use of evaluation methods for multi-value treatments. Second, the authors study the dynamic inter-linkages between the decisions to implement process and/or product innovations, that remains under studied, at least for emerging economies. Third, the estimation of TFP is performed using an endogenous Markov process, where past firms’ innovations are endogenized.

In this study, some of the internal and external determinants of innovation for Turkish companies are examined. The purpose of this paper is to determine which factors significantly influence innovativeness of Turkish companies.

The study begins with literature research. The knowledge gained from literature is used to develop a research model, which displays internal and external determinants of innovation and innovation types as product and process innovations. In order to test the model, the data of “Business Environment and Enterprise Performance Survey”, provided by the World Bank, are used. The data are collected from 1,152 Turkish companies in 2008. Some statistical tests are conducted to determine significant relations between the determinants of innovation and innovation types. Finally, results are discussed in the light of previous literature.

The authors' results provide clues that the companies involved in product innovation activities mostly perform process innovations. There is also a group of companies which invest in capabilities, but are not involved in any of the innovative activities. R&D activities, licensed technology usage, formal training programs, and experience of managers are significant internal factors, although the investments accomplished are not significant. International relations are an outstanding external factor for Turkish companies.

The data used in this study come from secondary source data, and it is not aimed at exploring innovation‐related issues. Also, this study does not aim to rank influencing factors for Turkish companies. Thus, it is not possible to reach a conclusion that compares internal and external factors.

This is a pioneer study that deals with internal and external influencing factors of both product and process innovations for Turkish companies.

We are interested in modeling the impact of spatial and interindustry dependence on firm-level innovation of Chinese firms The existence of network ties between cities imply that changes taking place in one city could influence innovation by firms in nearby cities (local spatial spillovers), or set in motion a series of spatial diffusion and feedback impacts across multiple cities (global spatial spillovers). We use the term local spatial spillovers to reflect a scenario where only immediately neighboring cities are impacted, whereas the term global spatial spillovers represent a situation where impacts fall on neighboring cities, as well as higher order neighbors (neighbors to the neighboring cities, neighbors to the neighbors of the neighbors, and so on). Global spatial spillovers also involve feedback impacts from neighboring cities, and imply the existence of a wider diffusion of impacts over space (higher order neighbors).

Similarly, the existence of national interindustry input-output ties implies that changes occurring in one industry could influence innovation by firms operating in directly related industries (local interindustry spillovers), or set in motion a series of in interindustry diffusion and feedback impacts across multiple industries (global interindustry spillovers).

Typical linear models of firm-level innovation based on knowledge production functions would rely on city- and industry-specific fixed effects to allow for differences in the level of innovation by firms located in different cities and operating in different industries. This approach however ignores the fact that, spatial dependence between cities and interindustry dependence arising from input-output relationships, may imply interaction, not simply heterogeneity across cities and industries.

We construct a Bayesian hierarchical model that allows for both city- and industry-level interaction (global spillovers) and subsumes other innovation scenarios such as: (1) heterogeneity that implies level differences (fixed effects) and (2) contextual effects that imply local spillovers as special cases.

This chapter aims to investigate the driving forces in the creation of knowledge and in the process of innovation and the relevance of the governance model with respect to the free market model or the government model in the regulation of the knowledge and innovation networks.

According to a cognitive approach, a conflict is the result of a closer spatial distance between two actors or firms, leading to a contact stimulus and a reciprocal stimulus, which is perceived as a threat for the respective security or identity. This occurs when the two considered parties are characterised by a too large cognitive distance or a too different mindset or culture, which hinders collaboration.

This chapter highlights that the fragmentation of a modern knowledge economy and the pervasive conflicts between various interest groups, conflicts of interests in the roles of the same actors, bottlenecks, rents and income and power disparity in society require a new form of regulation, that is, multi-level governance and new instruments in innovation policies.

The governance or partnership model is based on the principles of negotiation, exchange and consensus, which are different from the principle of authority as in the planning model and from the principle of competition and survival of the fittest as in the free market model. Governance is an approach to the industrial policy that is more suitable to steer or manage a modern capitalist system and the knowledge and innovation networks that characterise this system.

At a time when many companies in the Spanish and Basque manufacturing industries are attempting to embark on delocation movements (also commonplace in other countries), the increase in innovatory capacity is becoming an essential element in counteracting such movements and the downsizing that these involve. The study presented here seeks to measure the explicit emphasis given by manufacturing companies from the Basque Region (Spain) in the field of innovation, and the degree of adaptation of their management context to features of the middle‐up‐down model as put forward by Nonaka et al. to promote an effective knowledge generation process.

An ad hoc questionnaire has been addressed to Chief Executive Officers, within the framework of broader research into organizational learning and business performance started in 2002. This questionnaire is focused more on the “hard” elements of the management context than on the “soft” ones, which may limit its usefulness under certain circumstances.

Conceptually‐speaking, the methodology used has the value of linking extremely abstract concepts from the middle‐up‐down model (knowledge vision, articulation of this vision by means of concepts and images, “BA”, “information redundancy,” etc.) with specific elements from the management context.

The results of the study reveal that manufacturing companies from the Basque Region have improved their innovatory capacity to a great extent, adapting quite a lot of their management context to new requirements. However, a weak point is detected in them: the absence of an organizational structure that may favor the existence of areas in which knowledge is shared.