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A business model, defined as the underlying logic of a company, is not permanent over time. Instead, companies need to introduce innovations in the business model to be competitive in the market. This is even more critical for family firms which are continuously looking for a way to obtain sustainable growth, together with satisfactory performance. The objective of this research is to analyze the impact that business model innovation activities have in the short/long-term growth and performance of family firms. This study was obtained from panel data made up of 112 valid responses from family firms involved in business model innovation. A composite model approach has been used for data analysis. The significant components of BMI that lead to greater growth and performance are identified, the distinction between long-term and short-term effects of BMI on those outcomes is made, and BMI is proven as an authoritative source of competitive advantage and growth in family firms. Those aspects are valuable insights for researchers and managers with regards to which innovation propositions help sustain growth and performance over time.

In recent years, both in the world of research and consulting, the concept of innovation in the business model has been gaining a lot of interest. As a result, an incipient number of scientific and popular publications are being generated, which try to delimit and explain this term, as well as work methodologies for its application in the business world. The family business field can benefit from the application of this approach. But, at the same time, it can also serve as an object of study since its special idiosyncrasy will allow to deepen the analysis of successful business models. To illustrate innovation in business models, data from 112 family firms representative of the regional economy are presented. The companies are also associated with the Murcian Association of Family Businesses (Amefmur). The collaboration with this organization has made it possible to obtain very valuable and representative information thanks to the support provided. The collection of information was carried out through an electronic survey. These data could be especially useful for establishing business recommendations for this type of companies and for analyzing other possible interrelationships of the variables available in the database.

One of the main challenges of visual prostheses is to augment the perceived information to improve the experience of its wearers. Given the limited access to implanted patients, in order to facilitate the experimentation of new techniques, this is often evaluated via Simulated Prosthetic Vision (SPV) with sighted people. In this work, we introduce a novel SPV framework and implementation that presents major advantages with respect to previous approaches. First, it is integrated into a robotics framework, which allows us to benefit from a wide range of methods and algorithms from the field (e.g. object recognition, obstacle avoidance, autonomous navigation, deep learning). Second, we go beyond traditional image processing with 3D point clouds processing using an RGB-D camera, allowing us to robustly detect the floor, obstacles and the structure of the scene. Third, it works either with a real camera or in a virtual environment, which gives us endless possibilities for immersive experimentation through a head-mounted display. Fourth, we incorporate a validated temporal phosphene model that replicates time effects into the generation of visual stimuli. Finally, we have proposed, developed and tested several applications within this framework, such as avoiding moving obstacles, providing a general understanding of the scene, staircase detection, helping the subject to navigate an unfamiliar space, and object and person detection. We provide experimental results in real and virtual environments. The code is publicly available at https://www.github.com/aperezyus/RASPV

This article aims to explain the innovative behaviour of large Spanish companies by comparing the hospitality industry with other service providers and industrial manufacturers. Several hypotheses are proposed and tested for different innovation stages: innovation effort, outcome and performance. The sample includes 2944 Spanish companies with 200 or more employees. Using one-way ANOVA analysis, this study fills an important gap in the impact of innovation and technology on the performance of the hospitality sector. The results show that catering establishments have differentiated innovation behaviours not only to manufacturers but also compared to service providers. The findings support the hypothesis and suggest that hotel companies complement in-house R&D with other innovative activities. Furthermore, hospitality organisations have the highest percentage of innovation revenue due to fewer innovation efforts and innovation outcomes, mainly due to the organisation’s innovations.

The data comes from an empirical study conducted to determine the intention to use mobile devices as a means of payment. The data collection was conducted on a total of 463 students at a university, with 425 valid cases. These students were chosen because of their greater affinity with mobile devices, making them digital natives. The questionnaire was developed using scales recognized in the literature on aspects such as intention to use, learning costs or perceived functional value. The reliability and validity of all constructs showed that the questionnaire was proper for measurement. Data analysis was applied l to examine the validity of scales. But, what makes this data really interesting and singular is the collection of data in 2013 (265 respondents) and 2016 (160 respondents). This allows cross-sectional and longitudinal analyses to check the evolution of respondents' perceptions of mobile payments. Results imply that the data is suitable for conducting replication studies.

This study investigated the internal stress distribution of unidirectional fiber-reinforced plastics (UD-FRP) at the micro level using principal component analysis (PCA). The composite material was simulated using a representative volume element model together with the embedded cell approach. Two fundamental quasi-static load cases, transverse and longitudinal tensile deformation, were considered. The experimental results show that mechanical failure occurred at 2.15 ± 0.06% transverse tensile strain and at 1.52 ± 0.07% longitudinal tensile strain. Furthermore, the undamaged state and a combination of matrix and interface damage, as well as fiber breakage, were simulated. From the simulations, the octahedral shear stress and octahedral normal stress were computed at the integration points of the matrix elements, constituting what is known as the octahedral stress field. A modification on the PCA to obtain mesh-independent eigenvalues is presented and was used to investigate the effects of damage events on the octahedral stress field. The results indicate that each damage mechanism had a distinct signature in the redistribution of the stress field, characterized by specific changes in the eigenvalues and orientation of the principal component (θ1). Furthermore, the PCA suggests that the accumulation of matrix damage began to be relevant at the 1% strain, while fiber breakage began at an average longitudinal strain of 0.98 ± 0.12%. Additionally, it is shown that the first principal component served as an indicator of the predominant stress state of the stress field. This investigation suggests that the PCA can provide valuable insights regarding the complex damage mechanisms of UD-FRP that may not be captured by conventional mechanical analysis. [ABSTRACT FROM AUTHOR]

Aims Cupriavidus isolates are found in environmental and clinical samples and are often resistant to carbapenems, which are last-resort antibiotics. However, their carbapenem-resistance molecular mechanisms remain unknown. This study aimed to (i) characterize and sequence the carbapenem-resistant soil isolate Cupriavidus taiwanensis S2-1-W to uncover its antibiotic resistance determinants; and (ii) clone and characterize a putative novel carbapenemase gene identified in this isolate. Methods and results Antibiotic susceptibility testing of C. taiwanensis S2-1-W revealed that it was resistant to most carbapenems, other β-lactams, and aminoglycosides tested. Genome sequencing of this isolate revealed a complex chromosomal resistome that included multidrug efflux pump genes, one aminoglycoside transferase gene, and three β-lactamase genes. Among them, we identified a novel putative class D β-lactamase gene (bla OXA-1206) that is highly conserved among other sequenced C. taiwanensis isolates. Cloning and characterization of bla OXA-1206 confirmed that it encodes for a newly discovered carbapenemase (OXA-1206) that confers resistance to carbapenems and other β-lactams. Conclusion Carbapenem-resistance in C. taiwanensis S2-1-W is associated with a newly discovered carbapenemase, OXA-1206. [ABSTRACT FROM AUTHOR]