Análisis celular y molecular de la heterocromatina en Sciara

Tesis doctoral inédita. Universidad Autónoma de Madrid, Facultad de Ciencias, Departamento de Biología. Fecha de lectura: 21-10-201

Leadership skill assessment: Student leadership practices inventory application in a Spanish Marketing Course

[EN] In this research, we analysed the data collected when assessing the "leadership ability" in our University in Bachelor's degree in Business Administration (BBA) as it is becoming a strategic skill in all organizations. The objective was to measure this generic skill in students and help them to develop it. For that, we used the Student Leadership Practices Inventory (SLPI) scale. This scale is based on Five Exemplary Leadership Practices: i) Model the way; ii) Inspire a shared vision; iii) Challenge the process; iv) Enable others to act; and v) Encourage the heart. Six items measure every practice or dimension. In total, there are thirty items. We analysed 132 students who assessed themselves according to this scale, obtaining a score for every item and dimension. To determine the profile of every student, the different variables considered were "Group", "Gender", "Erasmus students" and "Working or having worked". After collecting the data, we calculated the average, standard deviation and range for every item and dimension. We also conducted a cluster analysis and obtained two different segments. Based on the results, we can propose to each student a different development plan of this soft skill depending on the segment they belong. Therefore, we do not only get general conclusions from the whole group but we can also help our students to develop the "leadership ability" in a personalized way.We would like to thank our university for funding this project with reference PIME-B16.Baviera-Puig, A.; Escribá Pérez, C.; Baviera, T. (2021). Leadership skill assessment: Student leadership practices inventory application in a Spanish Marketing Course. IATED Academy. 6159-6165. https://doi.org/10.21125/inted.2021.12386159616

Assessing Team Member Effectiveness among higher education students using 180º perspective

[EN] Higher education institutions are increasingly aware of the advisability of training students in teamwork, as professional organisations require their employees to integrate in complex projects with other colleagues. Nevertheless, assessing the acquisition of teamwork skills by students is not an easy task. This research evaluates a project implemented with students on the Bachelor¿s degree in Business Administration in which the evolution of teamwork skills was tracked while they were doing a team-based assignment. For this purpose, the CATME-BARS scale was employed to evaluate the teamwork skills in peer-assessments during the semester. In addition, the SLPI was used for evaluating leadership. The teamwork dimensions that emerged as signifi- cant gave priority to social interdependence over the knowledge, skills, and abilities of the teammate. The student profile was revealed as a key factor. The free-rider problem was detected in the Erasmus students (exchange students). Belonging to more demanding groups and the self- perception of leadership had a positive effect on teamwork effectiveness. In our results, gender and job experience did not influence teamwork effectiveness. Some students underwent a process of personal maturation thanks to the reflection on this soft skill. The research carried out high- lights the importance of teamwork ability in university students.This work was supported by the Universitat Politecnica de Valencia under reference [PIME-B16]. Funding for open access charge: CRUE-Universitat Politecnica de Valencia.Baviera, T.; Baviera-Puig, A.; Escribá-Pérez, C. (2022). Assessing Team Member Effectiveness among higher education students using 180º perspective. International Journal of Management Education. 20(3):1-12. https://doi.org/10.1016/j.ijme.2022.10070211220

Strategies to assess generic skills for different types of students

[EN] The Universitat Politècnica de València (UPV) has synthesized a profile to be acquired by all the students based on 13 generic skills. For its assessment, the UPV has also developed a rubric for every skill depending on the level of the course. In this research, we develop an educational innovation for validating the rubrics for 3 of the 13 generic skills specified by the UPV. The chosen skills are: “Ability to think practically and apply knowledge in practical situations”, “Innovation, creativity and entrepreneurship ability” and “Teamwork and leadership ability”. To do this, we develop the same methodology in two groups (Morning/English) of the same course (Marketing Research of the Degree of Business Administration and Management of the Faculty of Business Administration and Management at the UPV) with significantly different student profiles. The assessment results of the skills reveal that there are no significant differences between groups. In conclusion, we could say that the rubrics developed by the UPV are adequate to assess all types of students: Erasmus or non-erasmus, working or having worked in the last 2 years or without work experience, and regardless of their satisfaction with the course.Baviera-Puig, A.; Escribá Pérez, C.; Buitrago Vera, JM. (2017). Strategies to assess generic skills for different types of students. En Proceedings of the 3rd International Conference on Higher Education Advances. Editorial Universitat Politècnica de València. 26-33. https://doi.org/10.4995/HEAD17.2017.4797263

Geomarketing models in supermarket location strategies

[EN] Choosing where to open a new outlet is a critical decision for retail firms. Building on the multiplicative competitive interaction model from retail location theory, this paper develops a geomarketing model that can be used to devise supermarket location strategies. First, attributes that explain a supermarket s pull on consumers were determined. These attributes included objective (taken from databases and empirical observation) and subjective (based on managerial judgements) variables relating to the supermarket and its trade area. Then, geographic information system tools were used to analyse real data at a highly detailed level (road section). From a geomarketing viewpoint, the model shows that sociodemographic characteristics of the supermarket s trade area affect firms location strategies. The paper also discusses improvements for calibrating and validating this model. Adding the spatial organization of supermarkets to the model yields a different consumer behaviour pattern. This geomarketing model can help managers to design supermarket location strategies according to shop features, competitors and environment, whilst estimating supermarket sales.The authors would like to thank the Consum-Universitat Politècnica de València Chair (Cátedra) for collaborating in this study.Baviera Puig, MA.; Buitrago Vera, JM.; Escribá Pérez, C. (2016). Geomarketing models in supermarket location strategies. Journal of Business Economics and Management. 17(6):1205-1221. doi:10.3846/16111699.2015.1113198S12051221176Applebaum, W. (1966). Methods for Determining Store Trade Areas, Market Penetration, and Potential Sales. Journal of Marketing Research, 3(2), 127. doi:10.2307/3150201Baviera-Puig, A., Roig-Tierno, N., Buitrago-Vera, J., & Mas-Verdu, F. (2013). Comparing trade areas of technology centres using ‘Geographical Information Systems’. The Service Industries Journal, 33(7-8), 789-801. doi:10.1080/02642069.2013.740467Blattberg, R. C., & Hoch, S. J. (1990). Database Models and Managerial Intuition: 50% Model + 50% Manager. Management Science, 36(8), 887-899. doi:10.1287/mnsc.36.8.887Campo, K., Gijsbrechts, E., Goossens, T., & Verhetsel, A. (2000). The impact of location factors on the attractiveness and optimal space shares of product categories. International Journal of Research in Marketing, 17(4), 255-279. doi:10.1016/s0167-8116(00)00026-4Cheng, E. W. L., Li, H., & Yu, L. (2007). A GIS approach to shopping mall location selection. Building and Environment, 42(2), 884-892. doi:10.1016/j.buildenv.2005.10.010Clarke, G. (1998). GeoJournal, 45(4), 289-298. doi:10.1023/a:1006995106736Cliquet, G. (1990). La mise en  uvre du modele interactif de concurrence spatiale (MICS) subjectif. Recherche et Applications en Marketing, 5(1), 3-18. doi:10.1177/076737019000500101Cliquet, G. (1995). Implementing a subjective MCI model: An application to the furniture market. European Journal of Operational Research, 84(2), 279-291. doi:10.1016/0377-2217(93)e0313-mColome, R. 2002. Consumer choice in competitive location models: PhD thesis. Universidad Pompeu Fabra, Barcelona.Cooper, L. G., & Nakanishi, M. (1983). Standardizing Variables in Multiplicative Choice Models. Journal of Consumer Research, 10(1), 96. doi:10.1086/208948De Beule, M., Van den Poel, D., & Van de Weghe, N. (2014). An extended Huff-model for robustly benchmarking and predicting retail network performance. Applied Geography, 46, 80-89. doi:10.1016/j.apgeog.2013.09.026Drezner, T., & Drezner, Z. (2002). Annals of Operations Research, 111(1/4), 227-237. doi:10.1023/a:1020910021280Dussart, C. (1998). Category management: European Management Journal, 16(1), 50-62. doi:10.1016/s0263-2373(97)00073-xGautschi, D. A. (1981). Specification of Patronage Models for Retail Center Choice. Journal of Marketing Research, 18(2), 162. doi:10.2307/3150951Ghosh, A. (1984). Parameter nonstationarity in retail choice models. Journal of Business Research, 12(4), 425-436. doi:10.1016/0148-2963(84)90023-7Ghosh, A., Neslin, S., & Shoemaker, R. (1984). A Comparison of Market Share Models and Estimation Procedures. Journal of Marketing Research, 21(2), 202. doi:10.2307/3151702González-Benito, Ó., Greatorex, M., & Muñoz-Gallego, P. A. (2000). Assessment of potential retail segmentation variables An approach based on a subjective MCI resource allocation model. Journal of Retailing and Consumer Services, 7(3), 171-179. doi:10.1016/s0969-6989(99)00026-0Grewal, D., Levy, M., Mehrotra, A., & Sharma, A. (1999). Planning merchandising decisions to account for regional and product assortment differences. Journal of Retailing, 75(3), 405-424. doi:10.1016/s0022-4359(99)00015-9Huff, D. L. (1964). Defining and Estimating a Trading Area. Journal of Marketing, 28(3), 34. doi:10.2307/1249154Kim, H., & Choi, B. (2013). The Influence of Customer Experience Quality on Customers’ Behavioral Intentions. Services Marketing Quarterly, 34(4), 322-338. doi:10.1080/15332969.2013.827068Klapper, D., & Herwartz, H. (2000). Forecasting market share using predicted values of competitive behavior: further empirical results. International Journal of Forecasting, 16(3), 399-421. doi:10.1016/s0169-2070(00)00052-2Kumar, V., & Karande, K. (2000). The Effect of Retail Store Environment on Retailer Performance. Journal of Business Research, 49(2), 167-181. doi:10.1016/s0148-2963(99)00005-3Li, Y., & Liu, L. (2012). Assessing the impact of retail location on store performance: A comparison of Wal-Mart and Kmart stores in Cincinnati. Applied Geography, 32(2), 591-600. doi:10.1016/j.apgeog.2011.07.006Mahajan, V., Jain, A. K., & Ratchford, B. T. (1978). Use of Binary Attributes in the Multiplicative Competitive Interactive Choice Model. Journal of Consumer Research, 5(3), 210. doi:10.1086/208733Mendes, A. B., & Themido, I. H. (2004). Multi-outlet retail site location assessment. International Transactions in Operational Research, 11(1), 1-18. doi:10.1111/j.1475-3995.2004.00436.xMerino, M., & Ramirez-Nafarrate, A. (2016). Estimation of retail sales under competitive location in Mexico. Journal of Business Research, 69(2), 445-451. doi:10.1016/j.jbusres.2015.06.050Murad, A. A. (2003). Creating a GIS application for retail centers in Jeddah city. International Journal of Applied Earth Observation and Geoinformation, 4(4), 329-338. doi:10.1016/s0303-2434(03)00020-5Nakanishi, M., & Cooper, L. G. (1974). Parameter Estimation for a Multiplicative Competitive Interaction Model: Least Squares Approach. Journal of Marketing Research, 11(3), 303. doi:10.2307/3151146Nakanishi, M., & Cooper, L. G. (1982). Technical Note—Simplified Estimation Procedures for MCI Models. Marketing Science, 1(3), 314-322. doi:10.1287/mksc.1.3.314Nakanishi, M., Cooper, L. G., & Kassarjian, H. H. (1974). Voting for a Political Candidate Under Conditions of Minimal Information. Journal of Consumer Research, 1(2), 36. doi:10.1086/208589Roig-Tierno, N., Baviera-Puig, A., Buitrago-Vera, J., & Mas-Verdu, F. (2013). The retail site location decision process using GIS and the analytical hierarchy process. Applied Geography, 40, 191-198. doi:10.1016/j.apgeog.2013.03.005Smith, L. D., & Sanchez, S. (2003). Assessment of business potential at retail sites: empirical findings from a US supermarket chain. The International Review of Retail, Distribution and Consumer Research, 13(1), 37-58. doi:10.1080/0959396032000051684Suárez-Vega, R., Gutiérrez-Acuña, J. L., & Rodríguez-Díaz, M. (2014). Locating a supermarket using a locally calibrated Huff model. International Journal of Geographical Information Science, 29(2), 217-233. doi:10.1080/13658816.2014.958154Vigneau, E., Charles, M., & Chen, M. (2014). External preference segmentation with additional information on consumers: A case study on apples. Food Quality and Preference, 32, 83-92. doi:10.1016/j.foodqual.2013.05.00

Analysis of the perception of generic skills acquired at university

[ES] Para afrontar unas profesiones que están en proceso de transformación, los estudiantes universitarios necesitan desarrollar y entrenar habilidades como la adaptabilidad, la capacidad de resolver problemas y el trabajo en equipo. En el presente artículo se analizan dichas habilidades, denominadas competencias genéricas. La información requerida se obtuvo mediante el diseño de un cuestionario que fue empleado en 628 entrevistas personales a estudiantes de primer y segundo ciclo de la Universidad Politécnica de Valencia (UPV). El tratamiento de los datos se realizó mediante un análisis factorial y de ecuaciones estructurales. Las competencias fueron agrupadas en cuatro factores denominados competencias metodológicas, sociales, participativas y especializadas. Este resultado confirma lo obtenido en otros modelos, por lo que parece existir un cierto consenso en la tipología de competencias genéricas existentes. Sin embargo, las competencias metodológicas y especializadas son las que más influyen en la percepción de los alumnos de la UPV sobre qué competencias globales han adquirido. No obstante, existen diferencias entre aquellos alumnos que compaginan estudios y trabajo y aquellos que solo estudian. Los primeros opinan que la adquisición de las competencias metodológicas y especializadas influye de forma positiva en la percepción global de las competencias adquiridas en la UPV, mientras que las competencias participativas influyen negativamente en la percepción global de las competencias adquiridas. Los segundos, por su parte, señalan que las competencias sociales son las que más influyen en la percepción global de las competencias adquiridas en la universidad. Así, la principal conclusión de este trabajo es la diferencia entre los alumnos que ya se han incorporado al mundo laboral y aquellos otros que solo se dedican a estudiar, en cuanto a la percepción que tienen sobre la adquisición de competencias genéricas en la universidad.[EN] Adaptability, problem-solving ability and teamwork are skills that university students need to develop and hone if they are to face a changing career world. These skills are called generic competencies. A questionnaire was designed and used in 628 personal interviews with first-and second-cycle students at Valencia Polytechnic University to obtain information with a view to analysing generic competencies. The data were subjected to factor analysis and structural equation modelling. The competencies were clustered into four groups, labelled "methodological competencies", "social competencies", "participatory competencies" and "specialised competencies". As the results confirmed the findings of other models, it seems a certain consensus exists as regards what types of generic competencies there are. Be that as it may, methodological competencies and specialised competencies were found to exert the most significant influence on the sample students' perception of the overall competencies they had acquired. Nevertheless, there were differences between those students who were working their way through school and those students who were not. For the working students, the acquisition of methodological and specialised competencies had a positive influence on their overall perception of the skills they had acquired at university, but the participatory competencies had a negative influence on overall perception. For the non-working students, the social competencies were the most influential factor in their overall perception of the competencies they had acquired at university. The chief conclusion is thus that students who have already joined the world of work and students who are devoted entirely to study differ in their perception of the acquisition of generic competencies at university.Clemente Ricolfe, JS.; Escribá Pérez, C. (2013). Análisis de la percepción de las competencias genéricas adquiridas en la Universidad. Revista de Educación. (362):535-561. doi:10.4438/1988-592X-RE-2013-362-241S53556136

Applying netnography to the obtaining of the map of positioning for companies of food retail

© Cuadernos de Gestión, 2004 Reproducción autorizada siempre que se cite la fuente, salvo que se indique lo contrario. En aquellos casos en que sea necesaria una autorización previa para la reproducción o el uso de datos textuales o multimedia (sonidos, imágenes, programas, etc.), dicha autorización cancelará la autorización general antes citada y mencionará las posibles restricciones de uso.[ES] Las comunidades online se han convertido en un lugar de encuentro muy popular para los consumidores que les permite compartir información. En este artículo se presenta una técnica de información novedosa como la netnografía, y se aplica para determinar cuál es el posicionamiento de las empresas de distribución alimentaria. Tras la recogida y análisis de 506 mensajes válidos de la comunidad online Ciao, se pudo conocer qué atributos se asociaban a seis establecimientos de alimentación analizados. Mercadona se asocia con la calidad de su marca de distribuidor y una escasa variedad de marcas/productos. Las tiendas discount, Lidl y DIA, destacan por la posibilidad de mejora en la limpieza del establecimiento y la localización de los productos. Los hipermercados, Eroski, Alcampo y Carrefour, son destacados por su variedad de marcas/productos, y alejado del domicilio. También se ha identificado a los competidores más directos de cada empresa, encontrándose una competencia entre los formatos de venta del mismo tipo (intratipo). El uso de la netnografia, técnica relativamente reciente, supone la mayor originalidad del trabajo. Además, las conclusiones obtenidas, que son coincidentes con estudios anteriores, muestran que la netnografía puede ser una fuente de información para determinar cuál es la imagen comercial y el posicionamiento de las empresas.[EN] Online communities have become a popular meeting place for consumers that allows them to share information. This article presents a marketing research technique as netnography, and applied to determine the positioning of food distribution companies. After collection and analysis of 506 valid messages Ciao online community, were able to learn which attributes are associated to six food establishments analyzed. Mercadona is associated with the quality of its private label and a narrow range of brands / products. Discount stores Lidl and DIA, highlighted by the possibility of improvement in the cleanliness of the establishment and location of products. Hypermarkets, Eroski, Carrefour and Alcampo, are renowned for their variety of brands / products, and away from home. Also been identified to direct competitors of each company, being a competition among the retail formats of the same type (intratipo). The use of netnography, relatively recent technique, is the largest original work. Furthermore, the conclusions that are consistent with previous studies show that the netnography can be a source of information to determine brand image and positioning of companiesClemente-Ricolfe, J.; Escribá Pérez, C. (2014). Aplicando netnografia a la obtención del mapa de posicionamiento para empresas de distribución alimentaria. Cuadernos de Gestión. 14(1):57-74. doi:10.5295/cdg.110322jcS577414

INTERNAL BENCHMARKING IN RETAILING WITH DEA AND GIS: THE CASE OF A LOYALTY-ORIENTED SUPERMARKET CHAIN

[EN] Data Envelopment Analysis (DEA) is a relative measure of efficiency applied to a set of decision units and is being used more and more frequently in the supermarket sector. Nonetheless, given how strongly the sector's financials depend on demand, companies need to combine this measurement with trade area information to best manage corporate efficiency. In this paper, the proposal consists of integrating DEA with a clearly articulated, structural typology so that supermarkets, based on their particular characteristics, can determine which variables are most critical for improving their efficiency. This methodology has been validated in the case of one of Spain's five largest supermarket chains. A principal component analysis and a classification analysis were carried out on a series of internal management variables from 61 locations for which DEA had been used to calculate efficiency and to which multiple trade area variables were added using GIS. Some of them are related to the loyalty scheme membership programme. These latter variables described the implantation of the loyalty scheme member programme and were revealed as key elements for the efficiency of the supermarket. This methodology provides marketing profiles that are more adapted to local circumstances, thus allowing companies to set better internal benchmarking objectives.The authors would like to thank the Consum-Universitat Politècnica de València Chair (Cátedra) for its collaboration in this study.Baviera-Puig, A.; Baviera, T.; Buitrago Vera, JM.; Escribá Pérez, C. (2020). INTERNAL BENCHMARKING IN RETAILING WITH DEA AND GIS: THE CASE OF A LOYALTY-ORIENTED SUPERMARKET CHAIN. Journal of Business Economics and Management. 21(4):1035-1057. https://doi.org/10.3846/jbem.2020.12393S10351057214Álvarez-Rodríguez, C., Martín-Gamboa, M., & Iribarren, D. (2019). Combined use of Data Envelopment Analysis and Life Cycle Assessment for operational and environmental benchmarking in the service sector: A case study of grocery stores. Science of The Total Environment, 667, 799-808. doi:10.1016/j.scitotenv.2019.02.433APPLEBAUM, W., & COHEN, S. B. (1961). THE DYNAMICS OF STORE TRADING AREAS AND MARKET EQUILIBRIUM1. Annals of the Association of American Geographers, 51(1), 73-101. doi:10.1111/j.1467-8306.1961.tb00369.xBanker, R. D., Charnes, A., & Cooper, W. W. (1984). Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis. Management Science, 30(9), 1078-1092. doi:10.1287/mnsc.30.9.1078Pestana Barros, C. (2006). Efficiency measurement among hypermarkets and supermarkets and the identification of the efficiency drivers. International Journal of Retail & Distribution Management, 34(2), 135-154. doi:10.1108/09590550610649795Pestana Barros, C., & Alves, C. A. (2003). Hypermarket retail store efficiency in Portugal. International Journal of Retail & Distribution Management, 31(11), 549-560. doi:10.1108/09590550310503285Barros, C. P., & Alves, C. (2004). An empirical analysis of productivity growth in a Portuguese retail chain using Malmquist productivity index. Journal of Retailing and Consumer Services, 11(5), 269-278. doi:10.1016/s0969-6989(03)00053-5BAVIERA-PUIG, A., BUITRAGO-VERA, J., & ESCRIBA-PEREZ, C. (2016). GEOMARKETING MODELS IN SUPERMARKET LOCATION STRATEGIES. Journal of Business Economics and Management, 17(6), 1205-1221. doi:10.3846/16111699.2015.1113198Brønn, C., & Brønn, P. S. (2005). Reputation and Organizational Efficiency: A Data Envelopment Analysis Study. Corporate Reputation Review, 8(1), 45-58. doi:10.1057/palgrave.crr.1540238Byrom, J., Hernández, T., Bennison, D., & Hooper, P. (2001). Exploring the geographical dimension in loyalty card data. Marketing Intelligence & Planning, 19(3), 162-170. doi:10.1108/02634500110391708CACHERO-MARTÍNEZ, S., & VÁZQUEZ-CASIELLES, R. (2017). LIVING POSITIVE EXPERIENCES IN STORE: HOW IT INFLUENCES SHOPPING EXPERIENCE VALUE AND SATISFACTION? Journal of Business Economics and Management, 18(3), 537-553. doi:10.3846/16111699.2017.1292311Charnes, A., Cooper, W. W., & Rhodes, E. (1978). Measuring the efficiency of decision making units. European Journal of Operational Research, 2(6), 429-444. doi:10.1016/0377-2217(78)90138-8Chaudhuri, M., Voorhees, C. M., & Beck, J. M. (2019). The effects of loyalty program introduction and design on short- and long-term sales and gross profits. Journal of the Academy of Marketing Science, 47(4), 640-658. doi:10.1007/s11747-019-00652-yDe Jorge Moreno, J. (2006). Regional regulation analysis of performance in Spanish retailing. International Journal of Retail & Distribution Management, 34(10), 773-793. doi:10.1108/09590550610691356Donthu, N., & Yoo, B. (1998). Retail productivity assessment using data envelopment analysis. Journal of Retailing, 74(1), 89-105. doi:10.1016/s0022-4359(99)80089-xDonthu, N., Hershberger, E. K., & Osmonbekov, T. (2005). Benchmarking marketing productivity using data envelopment analysis. Journal of Business Research, 58(11), 1474-1482. doi:10.1016/j.jbusres.2004.05.007Drèze, X., & Nunes, J. C. (2009). Feeling Superior: The Impact of Loyalty Program Structure on Consumers’ Perceptions of Status. Journal of Consumer Research, 35(6), 890-905. doi:10.1086/593946Emrouznejad, A., & Yang, G. (2018). A survey and analysis of the first 40 years of scholarly literature in DEA: 1978–2016. Socio-Economic Planning Sciences, 61, 4-8. doi:10.1016/j.seps.2017.01.008Felício, J. A., & Villardón, M. P. G. (2015). FAMILY CHARACTERISTICS AND GOVERNANCE OF SMALL AND MEDIUM-SIZED FAMILY FIRMS. Journal of Business Economics and Management, 16(6), 1069-1084. doi:10.3846/16111699.2012.747446Gandhi, A., & Shankar, R. (2014). Efficiency measurement of Indian retailers using Data Envelopment Analysis. International Journal of Retail & Distribution Management, 42(6), 500-520. doi:10.1108/ijrdm-10-2012-0094Goss, J. (1995). «We Know Who You Are and We Know Where You Live»: The Instrumental Rationality of Geodemographic Systems. Economic Geography, 71(2), 171. doi:10.2307/144357Grewal, D., Levy, M., Mehrotra, A., & Sharma, A. (1999). Planning merchandising decisions to account for regional and product assortment differences. Journal of Retailing, 75(3), 405-424. doi:10.1016/s0022-4359(99)00015-9Hanousek, J., Kočenda, E., & Shamshur, A. (2015). Corporate efficiency in Europe. Journal of Corporate Finance, 32, 24-40. doi:10.1016/j.jcorpfin.2015.03.003HERRANZ, R. E., ESTÉVEZ, P. G., OLIVA, M. A. de V. y, & DÉ, R. (2017). LEVERAGING FINANCIAL MANAGEMENT PERFORMANCE OF THE SPANISH AEROSPACE MANUFACTURING VALUE CHAIN. Journal of Business Economics and Management, 18(5), 1005-1022. doi:10.3846/16111699.2017.1357655Kang, J., Alejandro, T. B., & Groza, M. D. (2015). Customer–company identification and the effectiveness of loyalty programs. Journal of Business Research, 68(2), 464-471. doi:10.1016/j.jbusres.2014.06.002Kim, H.-Y., Lee, J. Y., Choi, D., Wu, J., & Johnson, K. K. P. (2013). Perceived Benefits of Retail Loyalty Programs: Their Effects on Program Loyalty and Customer Loyalty. Journal of Relationship Marketing, 12(2), 95-113. doi:10.1080/15332667.2013.794100Kumar, V., & Petersen, J. A. (2005). Using a Customer-Level Marketing Strategy to Enhance Firm Performance: A Review of Theoretical and Empirical Evidence. Journal of the Academy of Marketing Science, 33(4), 504-519. doi:10.1177/0092070305275857Kumar, V., & Shah, D. (2004). Building and sustaining profitable customer loyalty for the 21st century. Journal of Retailing, 80(4), 317-329. doi:10.1016/j.jretai.2004.10.007Lao, Y., & Liu, L. (2009). Performance evaluation of bus lines with data envelopment analysis and geographic information systems. Computers, Environment and Urban Systems, 33(4), 247-255. doi:10.1016/j.compenvurbsys.2009.01.005Leenheer, J., van Heerde, H. J., Bijmolt, T. H. A., & Smidts, A. (2007). Do loyalty programs really enhance behavioral loyalty? An empirical analysis accounting for self-selecting members. International Journal of Research in Marketing, 24(1), 31-47. doi:10.1016/j.ijresmar.2006.10.005Lewis, H. F., & Sexton, T. R. (2004). Data Envelopment Analysis with Reverse Inputs and Outputs. Journal of Productivity Analysis, 21(2), 113-132. doi:10.1023/b:prod.0000016868.69586.b4Li, Y., & Liu, L. (2012). Assessing the impact of retail location on store performance: A comparison of Wal-Mart and Kmart stores in Cincinnati. Applied Geography, 32(2), 591-600. doi:10.1016/j.apgeog.2011.07.006López Roldán, P. (1996). La construcción de tipologías: metodología de análisis. Papers. Revista de Sociologia, 48, 9. doi:10.5565/rev/papers.1811López-Roldán, P., & Fachelli, S. (2015). Análisis de clasificación. In P. López-Roldán & S. Fachelli (Eds.), Metodología de la Investigación Social Cuantitativa (1a edición, versión 2). Bellaterra: Dipòsit Digital de Documents, Universitat Autónoma de Barcelona. http://ddd.uab.cat/record/142929López-Roldán, P., & Fachelli, S. (2016). Análisis factorial. In P. López-Roldán & S. Fachelli (Eds.), Metodología de la Investigación Social Cuantitativa (1a edición, versión 3). Bellaterra: Dipòsit Digital de Documents, Universitat Autónoma de Barcelona. http://ddd.uab.cat/record/142928Meyer-Waarden, L. (2007). The effects of loyalty programs on customer lifetime duration and share of wallet. Journal of Retailing, 83(2), 223-236. doi:10.1016/j.jretai.2007.01.002Meyer‐Waarden, L. (2008). The influence of loyalty programme membership on customer purchase behaviour. European Journal of Marketing, 42(1/2), 87-114. doi:10.1108/03090560810840925Meyer-Waarden, L., & Benavent, C. (2006). The Impact of Loyalty Programmes on Repeat Purchase Behaviour. Journal of Marketing Management, 22(1-2), 61-88. doi:10.1362/026725706776022308Mimouni-Chaabane, A., & Volle, P. (2010). Perceived benefits of loyalty programs: Scale development and implications for relational strategies. Journal of Business Research, 63(1), 32-37. doi:10.1016/j.jbusres.2009.01.008De Jorge Moreno, J. (2010). Productivity growth of European retailers: a benchmarking approach. Journal of Economic Studies, 37(3), 288-313. doi:10.1108/01443581011061285Mostafa, M. M. (2009). Benchmarking the US specialty retailers and food consumer stores using data envelopment analysis. International Journal of Retail & Distribution Management, 37(8), 661-679. doi:10.1108/09590550910966178Neves Bezerra de Melo, F. L., Sampaio, R. M. B., & Sampaio, L. M. B. (2018). Efficiency, productivity gains, and the size of Brazilian supermarkets. International Journal of Production Economics, 197, 99-111. doi:10.1016/j.ijpe.2017.12.016Nitkiewicz, T., Pachura, P., & Reid, N. (2014). An appraisal of regional intellectual capital performance using Data Envelopment Analysis. Applied Geography, 53, 246-257. doi:10.1016/j.apgeog.2014.06.011Noordhoff, C., Pauwels, P., & Odekerken‐Schröder, G. (2004). The effect of customer card programs. International Journal of Service Industry Management, 15(4), 351-364. doi:10.1108/09564230410552040Pantano, E., Priporas, C. V., & Dennis, C. (2018). A new approach to retailing for successful competition in the new smart scenario. International Journal of Retail & Distribution Management, 46(3), 264-282. doi:10.1108/ijrdm-04-2017-0080Patel, G. N., & Pande, S. (2012). Measuring the performance of pharmacy stores using discretionary and non-discretionary variables. OPSEARCH, 50(1), 25-41. doi:10.1007/s12597-012-0095-0Roig-Tierno, N., Baviera-Puig, A., Buitrago-Vera, J., & Escriba-Perez, C. (2018). Assessing food retail competitors with a multi-criteria GIS-based method. Economía Agraria y Recursos Naturales, 18(1), 5. doi:10.7201/earn.2018.01.01Roig-Tierno, N., Baviera-Puig, A., Buitrago-Vera, J., & Mas-Verdu, F. (2013). The retail site location decision process using GIS and the analytical hierarchy process. Applied Geography, 40, 191-198. doi:10.1016/j.apgeog.2013.03.005Sanjuan, N., Ribal, J., Clemente, G., & Fenollosa, M. L. (2011). Measuring and Improving Eco-efficiency Using Data Envelopment Analysis. Journal of Industrial Ecology, 15(4), 614-628. doi:10.1111/j.1530-9290.2011.00347.xSellers‐Rubio, R., & Mas‐Ruiz, F. (2006). Economic efficiency in supermarkets: evidences in Spain. International Journal of Retail & Distribution Management, 34(2), 155-171. doi:10.1108/09590550610649803Sellers‐Rubio, R., & Más‐Ruiz, F. J. (2009). Technical efficiency in the retail food industry. European Journal of Marketing, 43(5/6), 652-669. doi:10.1108/03090560910946981Steinhoff, L., & Palmatier, R. W. (2014). Understanding loyalty program effectiveness: managing target and bystander effects. Journal of the Academy of Marketing Science, 44(1), 88-107. doi:10.1007/s11747-014-0405-6Keh, H. T., & Chu, S. (2003). Retail productivity and scale economies at the firm level: a DEA approach. Omega, 31(2), 75-82. doi:10.1016/s0305-0483(02)00097-xThomas, R. R., Barr, R. S., Cron, W. L., & Slocum, J. W. (1998). A process for evaluating retail store efficiency: a restricted DEA approach. International Journal of Research in Marketing, 15(5), 487-503. doi:10.1016/s0167-8116(98)00021-4Uyar, A., Bayyurt, N., Dilber, M., & Karaca, V. (2013). Evaluating operational efficiency of a bookshop chain in Turkey and identifying efficiency drivers. International Journal of Retail & Distribution Management, 41(5), 331-347. doi:10.1108/ijrdm-01-2012-0001Vyt, D., & Cliquet, G. (2017). Towards a fairer manager performance measure: a DEA application in the retail industry. The International Review of Retail, Distribution and Consumer Research, 27(5), 450-467. doi:10.1080/09593969.2017.1383293Yoo, B., Donthu, N., & Pilling, B. K. (1998). Channel Efficiency. Journal of Marketing Channels, 6(3-4), 1-15. doi:10.1300/j049v06n03_01Yu, W., & Ramanathan, R. (2008). An assessment of operational efficiencies in the UK retail sector. International Journal of Retail & Distribution Management, 36(11), 861-882. doi:10.1108/09590550810911656Zheka, V. (2005). Corporate governance, ownership structure and corporate efficiency: the case of Ukraine. Managerial and Decision Economics, 26(7), 451-460. doi:10.1002/mde.125

Evaluación de los competidores de la distribución agroalimentaria con un método multicriterio basado en SIG

[EN] Given the importance of competition in the retail sector, this research builds on spatial interaction theory to develop the competition index (CI). For this, geographic information systems (GIS) and the analytic hierarchy process (AHP) were used. AHP results reveal that key factors to assess competitors relate to location and branding. The proposed method was tested by evaluating 45 supermarkets in the city of Castellón (Spain). Using this method, sales targets can be adapted to each outlet’s individual circumstances.[ES] Dada la importancia de la competencia en el sector de la distribución comercial, esta investigación desarrolla el índice de competencia (IC) a partir de la teoría de la interacción espacial, utilizando los sistemas de información geográfica (SIG) y el proceso de jerarquía analítica (AHP). Los resultados del AHP revelan que los factores clave están relacionados con la ubicación y la marca. La metodología propuesta se aplica en la ciudad de Castellón, valorando 45 supermercados. Utilizando este método, los objetivos de ventas se pueden adaptar a las condiciones particulares de cada establecimiento.Roig-Tierno, N.; Baviera-Puig, A.; Buitrago-Vera, J.; Escribá-Pérez, C. (2018). Assessing food retail competitors with a multi-criteria GIS-based method. Economía Agraria y Recursos Naturales - Agricultural and Resource Economics. 18(1):5-22. https://doi.org/10.7201/earn.2018.01.01SWORD52218

Analysis of chicken and turkey meat consumption by segmentation of Spanish consumers using food-related lifestyle

[EN] Aim of study: Commercially, chicken meat has a similar positioning to turkey meat, as both are healthy and low-fat meats. For this reason, we proposed analysing consumer behaviour with respect to each of these meats based on market segmentation. Area of study: Spain. Material and methods: We carried out a telephone survey with an error of ± 4.0% at a confidence level of 95.5%, using the food-related lifestyle (FRL) instrument as part of the questionnaire. The statistical analysis techniques employed were different depending on the objective pursued: univariate, bivariate and multivariate analysis. Main results: Five segments were obtained: ¿Manager cook¿ (24.5%), ¿Healthy cook¿ (20.8%), ¿Concerned with food, but not cooks¿ (22%), ¿Total detachment¿ (11.9%) and ¿Rational shopper with little interest in cuisine¿ (20.8%). Notwithstanding the similar positioning of chicken and turkey meats, there are significant differences in purchasing and consumption habits between FRL segments. Specifically, there were significant differences in the frequency of purchase, the usual shopping location, purchasing criteria and preparation methods. Research highlights: Knowing the profile of these segments allows us to adapt the marketing mix (product, place, price and promotion) to each one. This is very useful for the companies due to the wide demand they face. First, they can choose the FRL segments to target and, second, they can define an appropriate marketing strategy according to these segments. In this way, market segmentation strategy based on food-related lifestyles may ensure companies a greater likelihood of success in the market.Autonomous Government of the Valencian Region, Spain: AICO/2017/066 (Project ¿Sustainability of the Food Value Chain: From Production to Responsible Consumption¿)Baviera-Puig, A.; Montero De Vicente, L.; Escribá-Pérez, C.; Buitrago Vera, JM. (2021). Analysis of chicken and turkey meat consumption by segmentation of Spanish consumers using food-related lifestyle. Spanish Journal of Agricultural Research (Online). 19(1):1-16. https://doi.org/10.5424/sjar/2021191-16419S11619