Eco-innovation and management in time of crisis: a comparative analysis of environmental good practices and labour productivity in the spanish hotel industry (2008-2012)

The economic crisis in recent years has significantly affected the Spanish hospitality industry. Some factors that affect labor productivity and therefore business performance in this sector may have affected the productivity in a different way when the economic crisis in Spain became deeper. One such factor is the eco-innovation. In previous works, the authors of this paper have used a variable that holds a set of good environmental practices to analyze the impact of the introduction of eco-innovation measures on labor productivity. The variable "good environmental practice" is an indicator of environmental management and has been introduced in a widely used production function. The main objective of the present work is to compare the impact of that variable on labor productivity into two different times (2008 and 2012) to verify the changes that have occurred as a result of the economic crisis. This analysis was performed for a sample of 173 hotels in Andalusia in 2008 and 181 in 2012.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

The importance of atmospheric correction for airborne hyperspectral remote sensing of shallow waters: application to depth estimation

Accurate determination of water depth is indispensable in multiple aspects of civil engineering (dock construction, dikes, submarines outfalls, trench control, etc.). To determine the type of atmospheric correction most appropriate for the depth estimation, different accuracies are required. Accuracy in bathymetric information is highly dependent on the atmospheric correction made to the imagery. The reduction of effects such as glint and cross-track illumination in homogeneous shallow-water areas improves the results of the depth estimations. The aim of this work is to assess the best atmospheric correction method for the estimation of depth in shallow waters, considering that reflectance values cannot be greater than 1.5% because otherwise the background would not be seen. This paper addresses the use of hyperspectral imagery to quantitative bathymetric mapping and explores one of the most common problems when attempting to extract depth information in conditions of variable water types and bottom reflectances. The current work assesses the accuracy of some classical bathymetric algorithms (Polcyn? Lyzenga, Philpot, Benny?Dawson, Hamilton, principal component analysis) when four different atmospheric correction methods are applied and water depth is derived. No atmospheric correction is valid for all type of coastal waters, but in heterogeneous shallow water the model of atmospheric correction 6S offers good results

Market value vs. legal value in land use change in Spain

[EN] The Spanish Land Law of May 28, 2007 gave rise to a radical change in the determination of the legal value of the land for agricultural use under compulsory purchase proceedings linked to the transformation of their use. Under this new law the compulsory purchase value is calculated based on the real or potential discounted cash flow at a determined rate set in the rule, with the aim of avoiding the negative effects of speculation. The aim of this work was to compare if there are significant differences between the values obtained when applying the methodology provided under the new law and the values presented in the national land prices survey. We have considered whether differences actually exist between the values obtained when applying the methodology provided under the new law and the values presented in the national survey; and the aim of this work is to compare these values. For this purpose the variables relevant for the application of the capitalization method were estimated based on the data published in the Spanish official statistics. Significant differences were found between the legal rate and the one which estimates the market values, with an average value for the studied period of 3.45% and 1.75%, respectively; additionally, different trends were observed. Also the existence of different discount rates for the market value depending on the land use against the unique rate set in the rule has been verified; therefore, the real distortion which a single capitalization rate could give rise to is very significant.Segura García Del Río, B.; Pérez-Salas Sagreras, JL.; Cervelló Royo, RE.; Vidal, F. (2010). Market value vs. legal value in land use change in Spain. Journal of Food Agriculture & Environment. 8(3&4):1208-1211. http://hdl.handle.net/10251/108620S1208121183&

Inteligencia Emocional en el Deporte: Validación española del Schutte Self Report Inventory (SSRI) en deportistas españoles

Referencias bibliográficas: • Arruza, J. A., Arribas, S., González, O, Balagué, G., Romero, S., y Ruiz, L. M. (2005). Desarrollo y validación de una versión preliminar de la escala de competencia emocional en el deporte (ECE-D). Revista Motricidad, 14, 153-163. • Austin, E. J., Saklofske, D.H., Huang, S. H. S., y McKenney, D. (2004). Measurement of trait emotional intelligence: Testing and cross-validating a modified version of Schutte et al. (1998) measure. Personality and Individual Differences, 36, 555-562. • Bar-On, R. (1996). The Emotional Quotient Inventory (EQ-i): A test of emotional intelligence. Toronto, Canada: Multi Health Systems, Inc. • Byrne, B. M. (2006). Structural equation modeling with EQS. Mahwah, NJ: LEA Publishers. • Chan, J.T. y Mallett, C.J. (2011) The value of Emotional Intelligence for high performance coaching. International Journal of Sports Science & Coaching, 6, 3, 315 - 328. • Chico, E. (1999). Evaluación psicométrica de una escala de inteligencia emocional. Boletín de Psicología, 62, 65-78. • Ciarrochi, J., Deane, F. P., y Anderson, S. (2002). Emotional intelligence moderates the relationship between stress and mental health. Personality and Individual Differences, 32, 2, 197-209. • Côte, S., y Miners, C. (2006). Emotional intelligence, Cognitive intelligence and Job Performance. Administrative Science Quarterly, 51, 1-28. • Crombie, D., Lombard, C. y Noakes, T. (2009). Emotiona Intelligence scores predict team sports performance in National Cricket competition. International Journal of Sport Science & Coaching, 4, 2, 209 - 224. • DeVellis, R. F. (2003) Scale development: Theory and applications (2a Ed.). Thousand Oaks, CA: Sage. • Extremera, N., Fernández-Berrocal, P., Mestre, J. M., y Guil, R. (2004). Medidas de evaluación de la inteligencia emocional. Revista Latinoamericana de Psicología, 36, 209-228. • Extremera, N., y Fernández-Berrocal, P. (2004). El uso de las medidas de habilidad en el ámbito de la inteligencia emocional. Ventajas e inconvenientes con respecto a las medidas de auto-informe. Boletín de Psicología, 80, 59-77. • Ferrandiz, C., Martín, F., Gallud, L., Ferrando, M., López Pina, J. A., y Prieto, M. D. (2006). Validez de la escala de inteligencia emocional de Schutte en una muestra de estudiantes universitarios. Ansiedad y Estrés, 12, 167-179. • Gardner, H. (1983). Frames of mind: The theory of multiple intelligences. New Cork: Basic Books. • Goleman, D. (1996). Inteligencia emocional. Barcelona: Kairós. • Goleman, D. (1998). La práctica de la inteligencia emocional. Barcelona: Kairós. • González, O. (2008). Análisis y validación de un cuestionario de inteligencia emocional en diferentes contextos deportivos. Tesis Doctoral son publicar, Universidad del País Vasco, San Sebastián. España • Graupera, J. L. (2007). Estilos de aprendizaje en la actividad física y el deporte. Tesis Doctoral sin publicar, Universidad de Castilla-La Mancha, Toledo. España • Hanin, Y.L. (2000). Emotion in sports. Champaign. Human kinetics. • Lane, A.M., Devonport, T.J., Soos, I., Karsai, I, Leibinger, E. & Hamar, P. (2010). Emotional intelligence and emotions associated with optimal and dysfunctional athletic performance. Journal of Sports Science and Medicines, 9, 388 - 392. • Lane, A., Meyer, B., Devonport, T., Davies, K., Thelwell, R., Gill, G., Diehl, C., Wilson, M., y Weston, N. (2009). Validity of the emotional intelligence scale for use in sport. Journal of Sports Science and Medicine, 8, 289-295. • Lane, A.M., Thelwell, R.C., Lowther, J. y Devonport, T.J. (2009). Emotional intelligence and psychological skills use among athletes. Social Behavior and Personality, 37, 2, 195-202. • Marsh, H. W. (2007). Application of confirmatory factor analysis and structural equation modeling in sport and exercise psychology. En G. Tenenbaum y R. C. Eklund (Eds.), Handbook of on sport psychology (3rd ed., pp. 774 - 798). New York: Wiley. • Matthews, G., Zeidner, M., y Roberts, R. D. (2002). Emotional intelligence: Science and myth. Cambridge, MA: MIT Press. • Mayer, J. D., y Salovey, P (1993). The intelligence of emotional intelligence. Intelligence, 17, 433-442. • Mayer, J. D., y Salovey, P (1997). What is emotional intelligence? En P. Salovey y D. Sluyter (Eds), Emotional development and emotional intelligence: Educational implications (pp. 3-31). New York: Basic Books. • Meyer, B., y Zizzi, S. (2007). Emotional Intelligence in sport: conceptual, methodological, and applied issues. En A. M. Lane (Eds.), Mood and human performance conceptual, measurement and applied issues (pp. 131-152). Nova Science Publishers: Houppauge, N.Y. • Meyer, B. B., y Fletcher, T. B. (2007). Emotional intelligence: A theoretical overview and implications for research and professional practice in sport psychology. Journal of Applied Sport Psychology, 19, 1 - 15. • Netemeyer, R. G., Bearden, W. O., y Sharma, S. (2003) Scaling procedures: Issues and applications. Thousand Oaks, CA: Sage. • Nunnally, J.C. (1978). Psycometric theory. Nueva York: McGraw-Hill. 31. Pérez, C. (2004). Técnicas de análisis multivariante de datos. Madrid: Pearson-Prentice Hall. • Pérez, C. (2004). Técnicas de análisis multivariante de datos. Madrid: Pearson-Prentice Hall. • Pérez, N., y Castejón, J. L. (2007). La inteligencia emocional como predictor del rendimiento académico en estudiantes universitarios. Ansiedad y Estrés, 13, 121-131. • Petrides, K. V., y Furnham, A. (2000). On the dimensional structure of emotional intelligence. Personality and Individual Differences 29, 313- 320. • Prieto, M. D., Ferrándiz, C., Sánchez, C., y Bermejo, R. (2008). Inteligencia emocional y alta habilidad. Revista Española de Pedagogía, 240, 241-260. • Saklofske, D. H., Austin, E. J., y Minski, P. S. (2003). Factor structure validity of a trait emotional intelligence measure. Personality and Individual Differences, 34, 707-721. • Salovey, P., y Mayer, J. D. (1990). Emotional intelligence. Imagination, Cognition and Personality, 9,185-211. • Salovey, P., Hsee, C., y Mayer, J. D. (1993). Emotional intelligence and the regulation of affect. En D. M. Wegner, y J. W. Pennebaker (Eds.), Handbook of mental control (pp. 258-277). Englewood Cliffs, NJ: Prentice Hall. • Schutte, N. S., Malouff, J. M., Hall, L. E., Haggerty, D. J., Cooper, J. T., Golden, Ch. J., y Dornhein, L. (1998). Development and validation of a measure of emotional intelligence. Personality and Individual Differences, 25, (2), 167-177. • Thelwell, R. C., Lane, A. M., Wetson, N. J. V., y Greenlees, I. A. (2008). Exmining relationships between emotional intelligence and coaching efficacy. International Journal of Sport and Exercise Psychology, 6, 224- 235. • Zeidner, M., Matthews, G., y Roberts, R. D. (2004). Emotional intelligence in the workplace: a critical review. Applied Psychology: An International Review, 53, 371-399. • Zizzi, S. J., Deaner, H. R., y Hirschhorn, D. K. (2003). The relationship between emotional intelligence and performance among college baseball players. Journal of Applied Sport Psychology, 15, 262-269.El propósito del estudio fue validar el Inventario de Inteligencia Emocional (SSRI) de Schutte et al. (1998) en una muestra de deportistas españoles de diferente nivel de pericia. Participaron 2091 deportistas (1519 hombres y 572 mujeres) de edades comprendidas entre los 11 y los 59 años (M= 20.8; DT= 6.14). Los resultados de los AFE y AFC mostraron que el cuestionario presenta una estructura de cuatro dimensiones (percepción emocional, gestión auto-emocional, gestión hetero-emocional y utilización emocional), además de permitir obtener un valor de la escala general denominado Inteligencia Emocional en el Deporte. Las propiedades psicométricas y fiabilidad de la escala permiten presentar un inventario apto para la medición de la inteligencia emocional en el deporte.In this study we analyzed the validation and reliability of the SSRI Schutte et al. (1998) Inventory of Emotional Intelligence using EFA and CFA with Spanish athletes of different expertise level. This sample was comprised of 2091 athletes (1519 males and 572 females) with a mean age of 20.8 years (ST: 6.14) and an age range of 11 to 59 years. The results obtained in this study presented a four dimensions structure (Emotional perception, self-emotional management, hetero-emotional management and emotional utilization), and a global score of emotional intelligence in Sport. Psychometric properties and reliability of this instrument permits to offer an inventory apt to be applied in sport contexts.Depto. de Didáctica de las Lenguas, Artes y Educación FísicaFac. de EducaciónTRUEpu

Quadrol-Pd(II) complexes: phosphine-free precatalysts for the room-temperature Suzuki-Miyaura synthesis of nucleoside analogues in aqueous media

Commercially available Quadrol, N,N,N',N'-tetrakis(2-hydroxypropyl)ethylenediamine (THPEN), has been used for the first time as N^N- donor neutral hydrophilic ligand in the synthesis and characterization of new water soluble palladium (II) complexes containing chloride, phthalimidate or saccharinate as co-ligands. [PdCl2(THPEN)] (1) [Pd(phthal)2(THPEN)] (2), [Pd(sacc)2(THPEN)] (3) and the analogous complex with the closely related N,N,N',N'-tetrakis(2-hydroxyethyl)ethylenediamine (THEEN) [Pd(sacc)2(THEEN)] (4) were efficiently prepared in a one-pot reaction from [PdCl2(CH3CN)2] or Pd(OAc)2. Structural characterization of 1 and 3 by single crystal X-ray diffraction produced the first structures reported to date of palladium complexes with Quadrol. The resultant palladium complexes are highly soluble in water and were found to be effective as phosphine-free catalysts for the synthesis of functionalized nucleoside analogues under room-temperature Suzuki-Miyaura cross-coupling conditions between 5-iodo-2'-deoxyuridine (& 5-iodo-2'-deoxycytidine) with different aryl boronic acids in neat water. This is the first report of the coupling process performed on nucleosides in water at room temperature.This work has been partially supported by RTI2018-098233-B-C21 (MICINN) and 20790/PI/18 (Fundación SENECA CARM) grants. A.R.K would like to acknowledge SERB for EMR grant (EMR/2016/005439). Professor Gregorio Sánchez, who recently passed away, is gratefully acknowledged for his contribution to this work and his wise and continuous advice and support

Learning Like a Machine: Introducing Artificial Intelligence Into Secondary Education

[EN] Artificial intelligence is present in the usual environment of all high school students. However, the general population—and students in particular—do not know how these algorithmic techniques work, which often have very simple mechanisms and can be explained at an elementary level in mathematics or technology classes in the Secondary Education. Possibly these contents will take many years to form part of the curricula of these subjects, but they can be introduced as part of the algebra contents that are explained in mathematics, or those related to the algorithms, in the computer lectures. Especially if they are proposed in the form of a game, in which different groups of students can compete, as we propose in this article. Thus, we present a very simple example of an algorithm of teaching of reinforcement (Machine Learning-Reinforcement Learning), that synthesizes in a playful activity the fundamental elements that constitute an algorithm of artificial intelligence.[ES] La inteligencia artificial está presente en el entorno habitual de todos los estudiantes de secundaria. Sin embargo, la población general -y los alumnos en particular- no conocen cómo funcionan estas técnicas algorítmicas, que muchas veces tienen mecanismos muy sencillos y que pueden explicarse a nivel elemental en las clases de matemáticas o de tecnología en los Institutos de Enseñanza Secundaria (IES). Posiblemente estos contenidos tardarán muchos años en formar parte de los currículos de estas asignaturas, pero se pueden introducir como parte de los contenidos de álgebra que se explican en matemáticas, o de los relacionados con los algoritmos, en las clases de informática. Sobre todo si se plantean en forma de juego, en los que pueden competir diferentes grupos de estudiantes, tal y como proponemos en este artículo. Así, presentamos un ejemplo muy simple de un algoritmo de aprendizaje por refuerzo (Machine Learning-Reinforcement Learning), que sintetiza en una actividad lúdica los elementos fundamentales que constituyen un algoritmo de inteligencia artificial.Calabuig Rodriguez, JM.; García Raffi, LM.; Sánchez Pérez, EA. (2021). Aprender como una máquina: introduciendo la Inteligencia Artificial en la enseñanza secundaria. Modelling in Science Education and Learning. 14(1):5-14. https://doi.org/10.4995/msel.2021.15022OJS514141Calvo J. (2020). Hay que enseñar Inteligencia Artificial desde los primeros niveles educativos. Educación 3.0 https://www.educaciontrespuntocero.com/entrevistas/ensenarinteligencia-artificial-niveles-educativos/Cobos M., R-Moreno M.D., Barrero D.F. (2020). R2P2: Un simulador robótico para la enseñanza de Inteligencia Artificial. Actas de las Jenui 5, 285-92.Gross B. (1992). La inteligencia artificial y su aplicación en la enseñanza. Comunicación, lenguaje y educación 4(13), 73-80. https://doi.org/10.1080/02147033.1992.10821001Weng L. (2018). A (Long) Peek into Reinforcement Learning. https://lilianweng.github.io/lil-log/2018/02/19/a-long-peek-intoreinforcement-learning.htmlUrretavizcaya M., Onaindía E. (2002). Docencia Universitaria de Inteligencia Artificial. Revista Iberoamericana de Inteligencia Artificial 6(17), 23-32. https://doi.org/10.4114/ia.v6i17.73

Computer-Based Cognitive Training Improves Brain Functional Connectivity in the Attentional Networks: A Study With Primary School-Aged Children

We have shown that a computer-based program that trains schoolchildren in cognitive tasks that mainly tap working memory (WM), implemented by teachers and integrated into school routine, improved cognitive and academic skills compared with an active control group. Concretely, improvements were observed in inhibition skills, non-verbal IQ, mathematics and reading skills. Here, we focus on a subsample from the overarching study who volunteered to be scanned using a resting state fMRI protocol before and 6-month after training. This sample reproduced the aforementioned behavioral effects, and brain functional connectivity changes were observed within the attentional networks (ATN), linked to improvements in inhibitory control. Findings showed stronger relationships between inhibitory control scores and functional connectivity in a right middle frontal gyrus (MFG) cluster in trained children compared to children from the control group. Seed-based analyses revealed that connectivity between the r-MFG and homolateral parietal and superior temporal areas were more strongly related to inhibitory control in trained children compared to the control group. These findings highlight the relevance of computer-based cognitive training, integrated in real-life school environments, in boosting cognitive/academic performance and brain functional connectivity

Evaluacion de macroceldas de corrosion embebidos en vigas de concreto reforzado bajo ambiente salino

El presente trabajo muestra los resultados de la evaluación electroquímica de vigas de concreto armado expuestas en solución de NaCl al 5% y en Agua Potable durante 18 meses. El concreto fue elaborado con relaciones aguacemento de 0.40 y 0.60. La evaluación se realizó empleando macroceldas de corrosión, potenciales a circuito abierto y ruido electroquímico. En los resultados se presentaron valores de mayor probabilidad de corrosión en los especímenes inmersos en salmuera con mayor relación agua-cemento, encontrándose el sistema pasivado. Las macroceldas fueron muy útiles como apoyo a la evaluación con técnicas electroquímica

Survival analysis of author keywords: An application to the library and information sciences area

"This is the peer reviewed version of the following article: Peset, F, F Garzón-Farinós, LM González, X García-Massó, A Ferrer-Sapena, JL Toca-Herrera, and EA Sánchez-Pérez. 2019. "Survival Analysis of Author Keywords: An Application to the Library and Information Sciences Area." Journal of the Association for Information Science and Technology 71 (4). Wiley: 462-73. doi:10.1002/asi.24248, which has been published in final form at https://doi.org/10.1002/asi.24248. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving."[EN] Our purpose is to adapt a statistical method for the analysis of discrete numerical series to the keywords appearing in scientific articles of a given area. As an example, we apply our methodological approach to the study of the keywords in the Library and Information Sciences (LIS) area. Our objective is to detect the new author keywords that appear in a fixed knowledge area in the period of 1 year in order to quantify the probabilities of survival for 10 years as a function of the impact of the journals where they appeared. Many of the new keywords appearing in the LIS field are ephemeral. Actually, more than half are never used again. In general, the terms most commonly used in the LIS area come from other areas. The average survival time of these keywords is approximately 3 years, being slightly higher in the case of words that were published in journals classified in the second quartile of the area. We believe that measuring the appearance and disappearance of terms will allow understanding some relevant aspects of the evolution of a discipline, providing in this way a new bibliometric approach.Peset Mancebo, MF.; Garzón Farinós, MF.; Gonzalez, L.; García-Massó, X.; Ferrer Sapena, A.; Toca-Herrera, JL.; Sánchez Pérez, EA. (2020). 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Scholarship in the Digital Age. doi:10.7551/mitpress/7434.003.0012Box-Steffensmeier, J. M., Cunha, R. C., Varbanov, R. A., Hoh, Y. S., Knisley, M. L., & Holmes, M. A. (2015). Survival Analysis of Faculty Retention and Promotion in the Social Sciences by Gender. PLOS ONE, 10(11), e0143093. doi:10.1371/journal.pone.0143093Brophy, J., & Bawden, D. (2005). Is Google enough? Comparison of an internet search engine with academic library resources. Aslib Proceedings, 57(6), 498-512. doi:10.1108/00012530510634235Buckland, M. K. (2012). Obsolescence in subject description. Journal of Documentation, 68(2), 154-161. doi:10.1108/00220411211209168Chang, Y.-W., Huang, M.-H., & Lin, C.-W. (2015). Evolution of research subjects in library and information science based on keyword, bibliographical coupling, and co-citation analyses. Scientometrics, 105(3), 2071-2087. doi:10.1007/s11192-015-1762-8Chen, G., & Xiao, L. (2016). Selecting publication keywords for domain analysis in bibliometrics: A comparison of three methods. Journal of Informetrics, 10(1), 212-223. doi:10.1016/j.joi.2016.01.006Cheng, F.-F., Huang, Y.-W., Yu, H.-C., & Wu, C.-S. (2018). Mapping knowledge structure by keyword co-occurrence and social network analysis. Library Hi Tech, 36(4), 636-650. doi:10.1108/lht-01-2018-0004Colley, A., & Maltby, J. (2008). Impact of the Internet on our lives: Male and female personal perspectives. Computers in Human Behavior, 24(5), 2005-2013. doi:10.1016/j.chb.2007.09.002Dehdarirad, T., Villarroya, A., & Barrios, M. (2014). Research trends in gender differences in higher education and science: a co-word analysis. Scientometrics, 101(1), 273-290. doi:10.1007/s11192-014-1327-2Ding, Y., Chowdhury, G. G., & Foo, S. (2001). Bibliometric cartography of information retrieval research by using co-word analysis. Information Processing & Management, 37(6), 817-842. doi:10.1016/s0306-4573(00)00051-0Dotsika, F., & Watkins, A. (2017). Identifying potentially disruptive trends by means of keyword network analysis. Technological Forecasting and Social Change, 119, 114-127. doi:10.1016/j.techfore.2017.03.020Figuerola, C. G., García Marco, F. J., & Pinto, M. (2017). Mapping the evolution of library and information science (1978–2014) using topic modeling on LISA. Scientometrics, 112(3), 1507-1535. doi:10.1007/s11192-017-2432-9Gil-Leiva, I., & Alonso-Arroyo, A. (2007). Keywords given by authors of scientific articles in database descriptors. Journal of the American Society for Information Science and Technology, 58(8), 1175-1187. doi:10.1002/asi.20595Halevi, G., & Moed, H. F. (2013). The thematic and conceptual flow of disciplinary research: A citation context analysis of thejournal of informetrics, 2007. Journal of the American Society for Information Science and Technology, 64(9), 1903-1913. doi:10.1002/asi.22897Michael Hall, C. (2011). Publish and perish? Bibliometric analysis, journal ranking and the assessment of research quality in tourism. Tourism Management, 32(1), 16-27. doi:10.1016/j.tourman.2010.07.001Han H. Gui J. &Xu S.(2014).Revealing research themes and their evolutionary trends using bibliometric data based on strategic diagrams (pp. 653–659).https://doi.org/10.1109/ISCC-C.2013.121Hjørland, B. (2000). Library and information science: practice, theory, and philosophical basis. Information Processing & Management, 36(3), 501-531. doi:10.1016/s0306-4573(99)00038-2Hjørland B. (2017).Library and information science (LIS). In Encyclopedia of Knowledge Organization. Retrieved fromhttp://www.isko.org/cyclo/lis.Hjørland, B., & Albrechtsen, H. (1995). Toward a new horizon in information science: Domain-analysis. Journal of the American Society for Information Science, 46(6), 400-425. doi:10.1002/(sici)1097-4571(199507)46:63.0.co;2-yHu, C.-P., Hu, J.-M., Deng, S.-L., & Liu, Y. (2013). A co-word analysis of library and information science in China. Scientometrics, 97(2), 369-382. doi:10.1007/s11192-013-1076-7Kevork, E. K., & Vrechopoulos, A. P. (2009). CRM literature: conceptual and functional insights by keyword analysis. Marketing Intelligence & Planning, 27(1), 48-85. doi:10.1108/02634500910928362Khan, G. F., & Wood, J. (2015). Information technology management domain: emerging themes and keyword analysis. Scientometrics, 105(2), 959-972. doi:10.1007/s11192-015-1712-5Lee, S. (2016). A Study on Research Trends in Public Library Research in Korea Using Keyword Networks. Libri, 66(4). doi:10.1515/libri-2016-0052Leung, X. Y., Sun, J., & Bai, B. (2017). Bibliometrics of social media research: A co-citation and co-word analysis. 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