What drives the choice of the type of partner in R&D cooperation? Evidence for Spanish manufactures and services

We analyse the heterogeneity in firms’ decisions to engage in R&D cooperation, taking into account the type of partner (competitors, suppliers or customers, and research institutions) and the sector to which the firm belongs (manufactures or services). We use information from the Technological Innovation Panel (PITEC) for Spanish firms and estimate multivariate probit models corrected for endogeneity which explicitly consider the interrelations between the different R&D cooperation strategies. We find that placing a higher importance to publicly available information (incoming spillovers), receiving public funding and firm size increase the probability of cooperation with all kind of partners but the role is much stronger in the case of cooperative agreements with research institutions and universities. Our results also suggest that R&D intensity and the importance attributed to the lack of qualified personnel as a factor hampering innovation are key factors influencing positively R&D cooperation activities in the service sector but not in manufactures.     

The decline of the traditional travel agent model

This article analyzes the struggle between traditional travel agencies and airlines to gain control of the Spanish airline services market. Also analyzed is the strong emergence of a third player, online travel portals that act as online travel agencies. We use a multinomial logit model to study the influence of 27 socio-economic factors and trip attributes on passenger purchase channel choice. The results show that the profile of a passenger who has a greater likelihood of making his/her bookings online is that of a young person, a student or educated to a high level, a habitual traveler, booking a simple journey and using an LCC. The factors linked to an increased likelihood of making purchases by phone include: being male, middle-aged, on a business or short trip, and the passengers usually use a travel agency. Finally, passengers who are over 65 years of age, with a lower academic level, who use a travel agency and are going to make a more complicated journey, are more likely to purchase their tickets in-store.     

Strategic adjustment between innovation and production: generation of integrated archetypes in Spanish service firms

This paper investigates empirically the strategic alignment between innovation and production strategies in a sample of service firms in Spain. It employs the integrated archetypes approach to analyse a dataset of unique, manually collected, firm responses. The results highlight differences in behaviour patterns underpinning both kinds of strategic decisions and, coherent with alignment theory, differential firm performance.     

An integrative model of the role of knowledge in the internationalization process

Knowledge is considered an essential resource in a company’s internationalization process, both from the sequential point of view and from the perspective of International Entrepreneurship. This paper proposes a model to integrate the influence of knowledge on international behavior based on proposals taken from the literature on organizational learning in multinational companies. The model comprises several phases: prior knowledge; acquisition of new knowledge; integration of both sets of knowledge; action and feedback. Using the proposed model, different courses of action are identified for further research into the process of company internationalization.     

Rockets and feathers behaviour in the Spanish gasoline and diesel market: New evidence

In this paper we analyse the potential asymmetric response of retail prices for gasoline and diesel‐fuel to changes in oil prices for the Spanish economy and its relation with the so‐called ‘rockets and feathers’ behaviour. We show that the assumption made by previous studies, which use as the key explanatory variable the sign –positive or negative‐ of the change in international oil prices, is inadequate for the Spanish case and the magnitude of the change in international oil prices is also relevant. For small changes in international oil prices there is neither price asymmetry nor rockets and feathers behavior in the retail markets. However, price asymmetries in line with rockets and feathers behavior in retail gasoline and gasoil markets are present when these changes exceed a certain threshold. Following Martín‐Moreno et al. (2018) we first apply an Auto‐regressive Error Correction Model and endogenously estimate the threshold triggering the rockets and feathers behaviour. A time‐varying nature for the dynamic response of retail prices to oil price shocks is revealed when we estimate the TAR‐ECM model using rolling windows. Hence, in a second stage, we use a Markov‐switching estimation of the model to test the robustness of the results given its suitability to changing environments. This study could have relevant policy implications for the Spanish gasoline and gasoil retail markets due to the ongoing debate on the existence of a rockets and feathers behavior in gasoline and gasoil retail markets between the Spanish regulatory body and the oil companies.     

Online Engagement and the Role of Digital Influencers in Product Endorsement on Instagram

Abstract

The article aims to analyze the forms of engagement generated from the endorsement of products by digital influencers on Instagram, considering the characteristics of their online posts. A qualitative approach was used to investigate digital influencers’ posts based on semiotic image analysis and the critical incidents technique. The results reinforced that digital platforms enable distinct forms of engagement by establishing new configurations that affect relationship marketing and promotion strategies. In particular, on Instagram, the development of engagement can involve four participants who play different social roles, expanding the process of value co-creation.     

Leaders and Laggards in Environmental Innovation: An Empirical Analysis of SMEs in Europe

The main purpose of this article is studying the factors influencing eco‐innovative intensity in the European SMEs. Building upon the 'innovation triangle model', business competences, environmental orientation and network involvement are considered as the main determinants of 'greenness' of innovation in a sample of 3852 SMEs. Four categories of eco‐innovators (leaders, followers, loungers and laggards) are identified, and their profiles/driving factors are described using a generalized ordinal logistic model. Our results confirm that the increasing demand for green products and the adoption of eco‐organizational innovation affect positively the level of environmental innovation, while technological lock‐ins have the opposite effect across all categories. Neither leaders nor laggards are influenced by environmental policies. Small firms and those who give importance to financial constraints tend not to achieve upper categories, while valuing technological capabilities, market power and networks are crucial determinants of being in upper categories of eco‐innovation intensity. Copyright © 2014 John Wiley & Sons, Ltd and ERP Environment     

Underground economy and aggregate fluctuations

This paper explores the role of underground economic activities as an explanation of differences in registered aggregate fluctuations. In order to do so, we introduce an underground economy sector in an otherwise standard Real Business Cycle model and calibrate it to the USA economy. We find that, at low frequencies, Europe fluctuates more than the USA, while its participation rate is smaller. The existence of underground activities rationalizes the negative relationship between participation rates and fluctuations of registered output. Our model accounts for 44.3% of the differences in aggregate fluctuations between the USA and European economies. Finally, the model generates implied sizes of the underground economy of 3.2% and 7% of the American and European output, respectively, which are in the range of those found in the empirical literature.     

Risk forecasting models and optimal portfolio selection

This study analyses, from an investor's perspective, the performance of several risk forecasting models in obtaining optimal portfolios. The plausibility of the homoscedastic hypothesis implied in the classical Markowitz model is dicussed and more general models which take into account assymetry and time varying risk are analysed. Specifically, it studies whether ARCH-type based models obtain portfolios whose risk-adjusted returns exceed those of the classical Markowitz model. The same analysis is performed with models based on the Lower Partial Moment (LPM) which take into account the assymetry in the distribution of returns. The results suggest that none of the models achieve a clearly superior average performance. It is also found that models based on semivariance perform as well as those based on the variance, but not better than, even if the evaluation criterion is based on the Reward-to-Semivariance ratio. When attention turns to the analysis of worst case performance, the results are clearly different. Models which employ LPM with a high degree of risk aversion (n>2) as the risk measure are consistently superior to those which employ a symmetric measure, either homoscedastic or heteroscedastic.