The role of market orientation and innovation capability in export performance of small-and medium-sized enterprises: a Latin American perspective

Purpose - This study aims to extend the existing base of knowledge of proactive and reactive market orientation and innovation capability by testing their impact on the export performance of emerging-market small- and medium-sized enterprises (SMEs) in a Latin American context. Design/methodology/approach - This paper is a replication study, and its data were collected through a survey answered by general, marketing, sales or export managers at 155 Mexican SMEs. The research model was tested using partial least squares. Findings - The study results indicate that innovation capability and reactive market orientation are drivers of export performance in Latin American SMEs. Moreover, proactive market orientation has been found to have an indirect effect on export results. Practical implications - This study highlights to managers of Latin American SMEs the importance of capability development and deployment to improve export performance. Social implications - SMEs enabled by strategic and technological innovation based on current and latent customer needs can advantageously perform in foreign markets and can drive economic growth and social and human development in Latin America. Originality/value - Recent studies have focused on emerging-market enterprises and the necessity of developing dynamic capabilities to achieve internationalisation. This study extends previous research by assessing the robustness and generalizability of drivers in export performance for manufacturing SMEs in Latin America. In particular, it provides empirical insights on the capabilities to develop by Latin American SMEs to achieve better export performance

Land Use Classification of VHR Images for Mapping Small-Sized Abandoned Citrus Plots by Using Spectral and Textural Information

[EN] Agricultural land abandonment is an increasing problem in Europe. The Comunitat Valenciana Region (Spain) is one of the most important citrus producers in Europe suffering this problem. This region characterizes by small sized citrus plots and high spatial fragmentation which makes necessary to use Very High-Resolution images to detect abandoned plots. In this paper spectral and Gray Level Co-Occurrence Matrix (GLCM)-based textural information derived from the Normalized Difference Vegetation Index (NDVI) are used to map abandoned citrus plots in Oliva municipality (eastern Spain). The proposed methodology is based on three general steps: (a) extraction of spectral and textural features from the image, (b) pixel-based classification of the image using the Random Forest algorithm, and (c) assignment of a single value per plot by majority voting. The best results were obtained when extracting the texture features with a 9 x 9 window size and the Random Forest model showed convergence around 100 decision trees. Cross-validation of the model showed an overall accuracy of the pixel-based classification of 87% and an overall accuracy of the plot-based classification of 95%. All the variables used are statistically significant for the classification, however the most important were contrast, dissimilarity, NIR band (720 nm), and blue band (620 nm). According to our results, 31% of the plots classified as citrus in Oliva by current methodology are abandoned. This is very important to avoid overestimating crop yield calculations by public administrations. The model was applied successfully outside the main study area (Oliva municipality); with a slightly lower accuracy (92%). This research provides a new approach to map small agricultural plots, especially to detect land abandonment in woody evergreen crops that have been little studied until now.This research was funded by regional government of Spain, Generalitat Valenciana, within the framework of the research project AICO/2020/246 and the APC was also funded by the research project AICO/2020/246.Morell-Monzó, S.; Sebastiá-Frasquet, M.; Estornell Cremades, J. (2021). Land Use Classification of VHR Images for Mapping Small-Sized Abandoned Citrus Plots by Using Spectral and Textural Information. Remote Sensing. 13(4):1-18. https://doi.org/10.3390/rs13040681S11813

Comparison of Sentinel-2 and High-Resolution Imagery for Mapping Land Abandonment in Fragmented Areas

[EN] Agricultural land abandonment is an important environmental issue in Europe. The proper management of agricultural areas has important implications for ecosystem services (food production, biodiversity, climate regulation and the landscape). In the coming years, an increase of abandoned areas is expected due to socio-economic changes. The identification and quantification of abandoned agricultural plots is key for monitoring this process and for applying management measures. The Valencian Region (Spain) is an important fruit and vegetable producing area in Europe, and it has the most important citrus industry. However, this agricultural sector is highly threatened by diverse factors, which have accelerated land abandonment. Landsat and MODIS satellite images have been used to map land abandonment. However, these images do not give good results in areas with high spatial fragmentation and small-sized agricultural plots. Sentinel-2 and airborne imagery shows unexplored potential to overcome this thanks to higher spatial resolutions. In this work, three models were compared for mapping abandoned plots using Sentinel-2 with 10 m bands, Sentinel-2 with 10 m and 20 m bands, and airborne imagery with 1 m visible and near-infrared bands. A pixel-based classification approach was used, applying the Random Forests algorithm. The algorithm was trained with 144 plots and 100 decision trees. The results were validated using the hold-out method with 96 independent plots. The most accurate map was obtained using airborne images, the Enhanced Vegetation Index (EVI) and Thiam's Transformed Vegetation Index (TTVI), with an overall accuracy of 88.5%. The map generated from Sentinel-2 images (10 m bands and the EVI and TTVI spectral indices) had an overall accuracy of 77.1%. Adding 20 m Sentinel-2 bands and the Normalized Difference Moisture Index (NDMI) did not improve the classification accuracy. According to the most accurate map, 4310 abandoned plots were detected in our study area, representing 32.5% of its agricultural surface. The proposed methodology proved to be useful for mapping citrus in highly fragmented areas, and it can be adapted to other crops.Morell-Monzó, S.; Estornell Cremades, J.; Sebastiá-Frasquet, M. (2020). Comparison of Sentinel-2 and High-Resolution Imagery for Mapping Land Abandonment in Fragmented Areas. Remote Sensing. 12(12):1-18. https://doi.org/10.3390/rs12122062S1181212MacDonald, D., Crabtree, J. ., Wiesinger, G., Dax, T., Stamou, N., Fleury, P., … Gibon, A. (2000). Agricultural abandonment in mountain areas of Europe: Environmental consequences and policy response. Journal of Environmental Management, 59(1), 47-69. doi:10.1006/jema.1999.0335Kosmas, C., Kairis, O., Karavitis, C., Acikalin, S., Alcalá, M., Alfama, P., … Solé-Benet, A. (2015). An exploratory analysis of land abandonment drivers in areas prone to desertification. 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Assessing the capabilities of high-resolution spectral, altimetric, and textural descriptors for mapping the status of citrus parcels

[EN] Agricultural land abandonment is an increasing phenomenon around the world with relevant environmental and socio-economic implications. In the European Union about 11 % of agricultural land is at high risk of abandonment. The Comunitat Valenciana region (Spain) is the most important citrus producer in Europe suffering from this problem. Identifying the status of citrus crops at the parcel level is essential for policymakers in agriculture. This work assessed the use of WorldView-3 data, Very High-Resolution Airborne Images, and Structure from Motion point clouds to identify the status of citrus parcels using two machine learning algorithms: Random Forest and Support Vector Machines. Different analyses involving combinations of the three data sources were carried out to assess the impact on classification accuracy. The results showed the high potential of airborne imagery (OA ¿ 0.967) and WorldView-3 (OA ¿ 0.936) to detect parcel status using a single image. The SfM data showed a lower potential (OA ¿ 0.825). Adding SfM point cloud to the multispectral information produced small improvements (0.4¿2.0 %) in classification accuracy. The class separability analysis showed the importance of WV-3 SWIR bands to detect abandoned parcels as they produce more spectral separability over the productive parcels in the 1570 nm ¿ 2330 nm spectrum. The results also show the importance of GLCM texture features extracted from sub-metric images due to their ability to model spatial planting patterns typical of fruit cropsThis research was funded by regional government of Spain, Generalitat Valenciana, within the framework of the research project AICO/2020/246. Funding for open access charge: CRUE-Universitat Politecnica de Valencia.Morell-Monzó, S.; Estornell Cremades, J.; Sebastiá-Frasquet, M. (2023). Assessing the capabilities of high-resolution spectral, altimetric, and textural descriptors for mapping the status of citrus parcels. Computers and Electronics in Agriculture. 204:1-11. https://doi.org/10.1016/j.compag.2022.10750411120

Periphyton and phytoplankton assessment in a shrimp nursery: signature pigments analysis

[EN] Understanding microalgae composition is key for an improved aquaculture system management. The primary objective of this research was to estimate microalgae community structure in a Marsupenaeus japonicus nursery. The secondary objective was to analyze the environmental parameters (salinity, pH, dissolved oxygen, total dissolved ammonia, nitrites, nitrates and phosphates) and shrimp density effect on abundance, composition and development of microalgae in a shrimp nursery. Periphyton and phytoplankton composition and abundance were determined using HPLC signature pigment analysis coupled with CHEMTAX software. Environmental parameters were measured in the tanks with probes or in the laboratory following standard procedures of water quality analysis. A nonparametric repeated-measures ANOVA statistical analysis was done to test differences between treatments. Spearman rank correlation analyses were performed on environmental and biological variables with phytoplankton or periphyton groups in order to examine significant relationship. The results showed diatoms were significantly higher than any other groups in both phytoplankton and periphyton communities. Shrimp density effect on periphyton, phytoplankton composition and environmental parameters was minor. Nutrients played a key role on phytoplankton development, but had a minor effect on periphyton, which was more affected by colonization processes and other environmental variables. The analysis of signature pigments allowed to report the presence of previously undetected groups on periphyton, prasinophytes and prymnesiophytes, which are characterized by high nutritional value. This is especially important in nurseries because shrimp grazing on periphyton can increase post-larvae survival.Financial support for this research was provided by Conselleria d'Educacio, Investigacio, Cultura i Esport of the Generalitat Valenciana, through the program VALi+D, file Number ACIF/2014/244. The authors want to thank the anonymous reviewer for the accurate revision and useful comments which helped to improve the original manuscript.Llario, F.; Rodilla, M.; Falco, S.; Escrivá, J.; Sebastiá-Frasquet, M. (2020). Periphyton and phytoplankton assessment in a shrimp nursery: signature pigments analysis. International Journal of Environmental Science and Technology. 17(2):857-868. https://doi.org/10.1007/s13762-019-02515-zS85786817

Exercises using a touchscreen tablet application improved functional ability more than an exercise program prescribed on paper in people after surgical carpal tunnel release: a randomised trial

Question: In people who have undergone surgical carpal tunnel release, do sensorimotor-based exercises performed on the touchscreen of a tablet device improve outcomes more than a conventional home exercise program prescribed on paper? Design: Randomised, parallel-group trial with concealed allocation, assessor blinding, and intention-to-treat analysis. Participants: Fifty participants within 10 days of surgical carpal tunnel release. Intervention: Each participant was prescribed a 4-week home exercise program. Participants in the experimental group received the ReHand tablet application, which administered and monitored exercises via the touchscreen. The control group was prescribed a home exercise program on paper, as is usual practice in the public hospital system. Outcome measures: The primary outcome was functional ability of the hand, reported using the shortened form of the Disabilities of the Arm, Shoulder and Hand (QuickDASH) questionnaire. Secondary outcomes were grip strength, pain intensity measured on a 10-cm visual analogue scale, and dexterity measured with the Nine-Hole Peg Test. Outcomes were measured by a blinded assessor at baseline and at the end of the 4-week intervention period. Results: At Week 4, functional ability improved significantly more in the experimental group than the control group (MD –21, 95% CI –33 to –9) on the QuickDASH score (0 to 100). Although the mean estimates of effect on the secondary outcome also all favoured the experimental group, none reached statistical significance: grip strength (MD 5.6 kg, 95% CI –0.5 to 11.7), pain (MD –1.4 cm, 95% CI –2.9 to 0.1), and dexterity (MD –1.3 seconds, 95% CI –3.7 to 1.1). Conclusion: Use of the ReHand tablet application for early rehabilitation after carpal tunnel release is more effective in the recovery of functional ability than a conventional home exercise program. It remains unclear whether there are any benefits in grip strength, pain or dexterity. Trial registration: ACTRN12618001887268

Shadowing and blocking effect optimization for a variable geometry heliostat field

Optimization software is currently a key tool when designing heliostat fields. Shadowing, blocking, atmospheric attenuation, spillage and cosine effect losses can be hugely minimized with proper use of this tool, so they are widely used in this field of work. However, variable geometry is a ground breaking concept that is only recently been researched, and existing optimization software for conventional heliostat fields perform poorly when applied to this new concept, due to the fact that they do not use the advantages that it provides. The code here presented explores this idea to fully exploit the capabilities of variable geometry heliostat fields

COMPARISON OF GAMIFICATION TOOLS FOR EVALUATING THE ETHICAL, ENVIRONMENTAL AND PROFESSIONAL RESPONSIBILITY SKILLS IN SCIENCE DEGREES

In the last two years the Universitat Politècnica de València (UPV) has implemented the evaluation of key transversal competences in its degrees. The objective is to offer an added value both for UPV s graduates and their employers. Nowadays, labour market is demanding not only professional skills but also personal and transversal competences development. However, evaluating these skills may require evaluation methods and techniques different to traditional ones. The authors have worked with gamification tools to help assessing student s performance in Ethical, environmental and professional responsibility skill. The experiences described have been developed in the frame of an Innovative Educational Project Improvement during the academic years 2014/2015 and 2015/2016. The aim of this paper is to compare the performance of two gamification applications, Socrative and Quizbean, for evaluating the above mentioned skill. Both applications can be used in the classroom with different devices such as laptops, tablets or mobile phones, and are based on creating questionnaires. These applications also share other characteristics such as high number of questions allowed, relatively high number of students in the classroom, instant results, etc. Socrative was used in Thermodynamics and Chemical Kinetics course in the first year of the Bachelor s degree in Biotechnology. Quizbean was used in Groundwater management subject in the fourth year of the Bachelor s degree in Environmental Sciences. To increase student motivation, game rules were included to encourage competition. The questionnaires were designed and classified according to 3 possible levels of acquisition of the key competence, these levels are fully described in a specific rubric that was explained beforehand to the students. Both applications performed successfully and the specificities of each gamification tool are described in the results. Students were satisfactorily involved in the activity, and some examples are included to show different levels of competence acquisition.The authors would like to thank the Vice-Rectorate for Studies, Quality and Acreditation of the Universitat Politècnica de València for funding the lnnovation and Educational Improvement Project A005: “Experiencia piloto de evaluación en distintas titulaciones de la UPV de la competencia transversal UPV Responsabilidad ética, medioambiental y profesional”Sebastiá-Frasquet, M.; Vargas Colás, MD.; Asensio Cuesta, S.; Pascual-Seva, N. (2016). COMPARISON OF GAMIFICATION TOOLS FOR EVALUATING THE ETHICAL, ENVIRONMENTAL AND PROFESSIONAL RESPONSIBILITY SKILLS IN SCIENCE DEGREES. IATED. https://doi.org/10.21125/iceri.2016.1855

Remote Sensing Temporal Reconstruction of the Flooded Area in "Tablas de Daimiel" Inland Wetland 2000-2021

[EN] Tablas de Daimiel National Park (TDNP) is a unique inland wetland located in the Mancha plain (Spain). It is recognized at the international level, and it is protected by different figures, such as Biosphere Reserve. However, this ecosystem is endangered due to aquifer overexploitation, and it is at risk of losing its protection figures. The objective of our study is to analyze the evolution of the flooded area between the year 2000 and 2021 by Landsat (5, 7 and 8) and Sentinel-2 images, and to assess the TDNP state through an anomaly analysis of the total water body surface. Several water indices were tested, but the NDWI index for Sentinel-2 (threshold -0.20), the MNDWI for Landsat-5 (threshold -0.15), and the MNDWI for Landsat-8 (threshold -0.25) showed the highest accuracy to calculate the flooded surface inside the protected area's limits. During the period 2015-2021, we compared the performance of Landsat-8 and Sentinel-2 and an R2 value of 0.87 was obtained for this analysis, indicating a high correspondence between both sensors. Our results indicate a high variability of the flooded areas during the analyzed period with significant peaks, the most notorious in the second quarter of 2010. Minimum flooded areas were observed with negative precipitation index anomalies since fourth quarter of 2004 to fourth quarter of 2009. This period corresponds to a severe drought that affected this region and caused important deterioration. No significant correlation was observed between water surface anomalies and precipitation anomalies, and the significant correlation with flow and piezometric anomalies was moderate. This can be explained because of the complexity of water uses in this wetland, which includes illegal wells and the geological heterogeneity.Pena-Regueiro, J.; Estornell Cremades, J.; Aguilar-Maldonado, J.; Sebastiá-Frasquet, M. (2023). Remote Sensing Temporal Reconstruction of the Flooded Area in "Tablas de Daimiel" Inland Wetland 2000-2021. Sensors. 23(8). https://doi.org/10.3390/s2308409623

Afectación tumoral del sistema nervioso periférico

Se han estudiado 18 pacientes con afectación del S.N.P. por lesiones tumorales tratados en nuestra unidad en un período de 8 años. La mayoría de estos tumores tenían una localización intraneural (14 casos), eran de naturaleza benigna (13 casos) y afectaban al miembro superior. La prueba diagnóstica más exacta fue la R.M.N. Destacamos la existencia en nuestra seria de algunos tumores de rara presentación en la clínica, como un caso de fibrolipoma, condroma intraneural y neurosarcoma de la variedad "Tritón", respectivamente.Eighteen patients who had tumours of peripheral nerves have been studied retrospectively. They were treated in our department for eight years. Most of these tumours were placed intraneuraly (14 cases), were benignant (13 cases), and located in the upper limb. The most precise test for diagnosis was the MRI. We want to emphasize the existence in our series of some tumours which rarely appears in clinic, for example a Fibrolipoma, a intraneural chondroma and a malignant triton tumour