Atlas de la investigación en administración en América Latina Vol. 1

dc.creatorCortés-Sánchez, Julián David
dc.date.accessioned2020-08-26T23:24:55Z
dc.date.accessioned2022-09-22T14:26:31Z
dc.date.available2020-08-26T23:24:55Z
dc.date.available2022-09-22T14:26:31Z
dc.date.created2020-08-26T23:24:55Z
dc.identifier2463-1892
dc.identifierhttps://repository.urosario.edu.co/handle/10336/28293
dc.identifierhttps://doi.org/10.48713/10336_28293
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/3438814
dc.description.abstractScience mapping is used for drawing knowledge fronts and foundations. This study presents a set of maps of the research on management in Latin-America and the Caribbean (LAC) for the period (1998-2018). More than 17 000 articles were gathered from the bibliographic database Scopus and interrelated via bibliographic coupling. Network density and nodes’ betweenness were calculated. The research field with the highest betweenness was supply chain management and sustainable-related processes. The following fields/ topics were consumer behavior toward organic agriculture, ecotourism and innovation adoption, multilatinas and smes; cleaner production via corporateacademic alliances; continual improvement strategies for productivity and performance; gender studies focused on executive women career development; and funds management and accounting standards. All archives used for this study are open access.
dc.languagespa
dc.publisherUniversidad del Rosario
dc.relationDocumento de investigación, ISSN: 2463-1892, No.155 (agosto, 2020); 51 pp.
dc.relationNo. 155
dc.relationDocumento de investigación
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/2.5/co/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rightsAbierto (Texto Completo)
dc.rightsAtribución-NoComercial-CompartirIgual 2.5 Colombia
dc.sourceScopus. (2018). Search. https://www.scopus.com/
dc.sourceCakir, A. (2019). How long should a research paper be? Quora. https:// www.quora.com/How-long-should-a-research-paper-be
dc.sourceWarren, M. (2019). Most comprehensive review to date finds the average person’s reading speed is slower than previously thought. Research Digest. https://digest.bps.org.uk/2019/06/13/most-comprehensivereview- to-date-suggests-the-average-persons-reading-speed-is-slowerthan- commonly-thought/
dc.sourceHausmann, R., Hidalgo, C. A., Bustos, S., Coscia, M., Simoes, A., & Yildirim, M. A. (2014). The atlas of economic complexity: mapping paths to prosperity. The mit Press.
dc.sourceBörner, K. (2010). Atlas of science: visualizing what we know. The mit Press.
dc.sourceBörner, K., et al. (2012). Design and update of a classification system: the ucsd map of science. plos one, 7(7), e39464. https://doi.org/10.1371/ journal.pone.0039464
dc.sourceZupic, I., & Čater, T. (2015). Bibliometric methods in management and organization. Organ. Res. Methods, 18(3), 429-472. https://doi. org/10.1177/1094428114562629
dc.sourceNakamura, M., Pendlebury, D., Schnell, J., & Szomszor, M. (2019). Navigating the structure of research on sustainable development goals. Web of Science Group. https://clarivate.com/webofsciencegroup/campaigns/ sustainable-development-goals/
dc.sourceKlavans, R., & Boyack, K. W. (2017). Which type of citation analysis generates the most accurate taxonomy of scientific and technical knowledge? J. Assoc. Inf. Sci. Technol., 68(4), 984-998. https://doi. org/10.1002/asi.23734
dc.sourceCortés-Sánchez, J. D. (2020). A bibliometric outlook of the most cited documents in business, management and accounting in Ibero-America. Eur. Res. Manag. Bus. Econ., 26(1), 1-8. https://doi.org/10.1016/j. iedeen.2019.12.003
dc.sourceRaewyn, C. (2019). The good university: what universities actually do and why it’s time for radical change. uk: Zed Books.
dc.sourceHaley, U., Page, M., Pitsis, T., Yu, K., & Rivas, J. (2017). Measuring and achieving scholarly impact. The Academy of Management. http://aom.org/About-AOM/StrategicPlan/Scholarly-Impact-Report. aspx
dc.sourceKovács, A., Van Looy, B., & Cassiman, B. (2015). Exploring the scope of open innovation: a bibliometric review of a decade of research. Scientometrics, 104(3), 951-983. https://doi.org/10.1007/s11192-015- 1628-0
dc.sourceVogel, R., & Güttel, W. H. (2013). The dynamic capability view in strategic management: a bibliometric review. Int. J. Manag. Rev., 15(4), 426-446. https://doi.org/10.1111/ijmr.12000
dc.sourceGöbel, M., Vogel, R., & Weber, C. (2013). Management research on reciprocity: a review of the literature. Bus. Res., 6(1), 34-53. https:// doi.org/10.1007/BF03342741
dc.sourceHjørland, B. (2013). Citation analysis: a social and dynamic approach to knowledge organization. Inf. Process. Manag., 49(6), 1313-1325. https://doi.org/10.1016/j.ipm.2013.07.001
dc.sourceNosella, A., Cantarello, S., & Filippini, R. (2012). The intellectual structure of organizational ambidexterity: a bibliographic investigation into the state of the art. Strateg. Organ., 10(4), 450-465. https://doi. org/10.1177/1476127012457979
dc.sourceBelussi, F., Orsi, L., & Savarese, M. (2019). Mapping business model research: a document bibliometric analysis. Scand. J. Manag., 35(3). https://doi.org/10.1016/j.scaman.2019.101048
dc.sourceFu, X., Niu, Z., & Yeh, M.-K. (2016). Research trends in sustainable operation: a bibliographic coupling clustering analysis from 1988 to 2016. Clust. Comput., 19(4), 2211-2223. https://doi.org/10.1007/ s10586-016-0624-3
dc.sourceYuan, Y., Gretzel, U., & Tseng, Y.-H. (2015). Revealing the nature of contemporary tourism research: extracting common subject areas through bibliographic coupling. Int. J. Tour. Res., 17(5), 417-431. https://doi.org/10.1002/jtr.2004
dc.sourceDe Carvalho, G. D. G., Cruz, J. A. W., De Carvalho, H. G., Duclós, L. C., & De Fátima Stankowitz, R. (2017). Innovativeness measures: a bibliometric review and a classification proposal. Int. J. Innov. Sci., 9(1), 81-101. https://doi.org/10.1108/IJIS-10-2016-0038
dc.sourceLazzarotti, F., Dalfovo, M. S., & Hoffmann, V. E. (2011). A bibliometric study of innovation based on Schumpeter. J. Technol. Manag. Innov., 6(4), 121-135. https://doi.org/10.4067/S0718-27242011000400010
dc.sourceLopes, A. P., & De Carvalho, M. M. (2012). The evolution of the literature on innovation in cooperative relationships: a bibliometric study for the last two decades. Gestao E Prod., 19(1), 203-217.
dc.sourceSilveira, F. F., & Zilber, S. N. (2017). Is social innovation about innovation? A bibliometric study identifying the main authors, citations and co-citations over 20 years. Int. J. Entrep. Innov. Manag., 21(6), 459-484.
dc.sourceTanco, M., Escuder, M., Heckmann, G., Jurburg, D., & Velazquez, J. (2018). Supply chain management in Latin America: current research and future directions. Supply Chain Manag., 23(5), 412-430. https:// doi.org/10.1108/SCM-07-2017-0236
dc.sourceManjarrez, C. C. A., Pico, J. A. C., & Díaz, P. A. (2016). Industry interactions in innovation systems: a bibliometric study. Lat. Am. Bus. Rev., 17(3), 207-222. https://doi.org/10.1080/10978526.2016.1209036
dc.sourceUddin, A., Singh, V. K., Pinto, D., & Olmos, I. (2015). Scientometric mapping of computer science research in Mexico. Scientometrics, 105(1), 97-114. https://doi.org/10.1007/s11192-015-1654-y
dc.sourceCortés-Sánchez, J. D. (2019). Innovation in Latin America through the lens of bibliometrics: crammed and fading away. Scientometrics, 121(2), 869-895. https://doi.org/10.1007/s11192-019-03201-0
dc.sourceMongeon, P., & Paul-Hus, A. (2016). The journal coverage of Web of Science and Scopus: a comparative analysis. Scientometrics, 106(1), 213-228. https://doi.org/10.1007/s11192-015-1765-5
dc.sourceGavel, Y., & Iselid, L. (2008). Web of Science and Scopus: a journal title overlap study. Online Inf. Rev., 32(1), 8-21. https://doi. org/10.1108/14684520810865958
dc.sourceGómez-Núñez, A. J., Vargas-Quesada, B., De Moya-Anegón, F., & Glänzel, W. (2011). Improving scimago Journal & Country Rank (sjr) subject classification through reference analysis. Scientometrics, 89(3), 741-758. https://doi.org/10.1007/s11192-011-0485-8
dc.sourceHirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proc. Natl. Acad. Sci. U.S.A., 102(46), 16569-16572. https://doi.org/10.1073/pnas.0507655102
dc.sourceCentre for Science and Technology Studies (cwts). cwts Journal Indicators. http://www.journalindicators.com
dc.sourceScopus. (2019). How Scopus works. https://www.elsevier.com/solutions/ scopus/how-scopus-works
dc.sourcescimago. (2018). scimago Journal Ranking. https://www.scimagojr.com/
dc.sourceCortés-Sánchez, J. D. (2018). Into oblivion: a closer look at the business, management and accounting research literature in Ibero-America. The Impact Blog - London School of Economics and Political Science. https://goo.gl/HWrgwL
dc.sourceCladea. (2020). Miembros. https://www.cladea.org/es/miembros/ proceso-de-afiliacion
dc.sourceKessler, M. M. (1963). Bibliographic coupling between scientific papers. Am. Doc., 14(1), 10-25. https://doi.org/10.1002/asi.5090140103
dc.sourceKessler, M. (1963). An experimental study of bibliographic coupling between technical papers (Corresp.). ieee Trans. Inf. Theory, 9(1), 49- 51. https://doi.org/10.1109/TIT.1963.1057800
dc.sourceIacobucci, D., McBride, R., Popovich, D., & Rouziou, M. (2017). In social network analysis, which centrality index should I use?: theoretical differences and empirical similarities among top centralities. J. Methods Meas. Soc. Sci., 8(2), 72-99.
dc.sourceScott, J. (1988). Social network analysis. Sociology, 22(1), 109-127. https://doi.org/10.1177/0038038588022001007
dc.sourceOpsahl, T., Agneessens, F., & Skvoretz, J. (2010). Node centrality in weighted networks: generalizing degree and shortest paths. Soc. Netw., 32(3), 245-251. https://doi.org/10.1016/j.socnet.2010.03.006
dc.sourceGolbeck, J. (2015). Chapter 21. Analyzing networks. In J. Golbeck (Ed.), Introduction to social media investigation (pp. 221-35). Boston: Syngress.
dc.sourceAria, M., & Cuccurullo, C. (2017). Bibliometrix: an R-tool for comprehensive science mapping analysis. J. Informetr., 11(4), 959-975. https://doi.org/10.1016/j.joi.2017.08.007
dc.sourceThe Igraph Core Team. (2020). Igraph - Network analysis software. https://igraph.org/
dc.sourceR Core Team. (2014). R: a language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
dc.sourceBastian, M., Heymann, S., & Jacomy, M. (2009). Gephi: an open source software for exploring and manipulating networks. Int. aaai Conf. Weblogs Soc. Media, 2.
dc.sourceGraph drawing by force-directed placement - Fruchterman - 1991 - Software: practice and experience. Wiley Online Library. https:// onlinelibrary.wiley.com/doi/abs/10.1002/spe.4380211102
dc.sourceSix, J. M., & Tollis, I. G. (2006). A framework and algorithms for circular drawings of graphs. J. Discrete Algorithms, 4(1), 25-50. https://doi. org/10.1016/j.jda.2005.01.009
dc.sourceAarts, A. A., et al. (2015). Estimating the reproducibility of psychological science. Science, 349(6251). https://doi.org/10.1126/science. aac4716
dc.sourceJacomy, M., Venturini, T., Heymann, S., & Bastian, M. (2014). ForceAtlas2, a continuous graph layout algorithm for handy network visualization designed for the gephi software. plos one, 9(6), e98679. https://doi.org/10.1371/journal.pone.0098679
dc.sourceBlondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. J. Stat. Mech. Theory Exp., 2008(10), P10008. https://doi.org/10.1088/1742-5468/2008/10/ P10008
dc.sourceChacón Vargas, J. R., & Moreno Mantilla, C. E. (2016). Organizational antecedents and capabilities for sustainable supply chain management in developing economies: the case of Colombian focal firms. Cuad. Adm., 29(53). https://doi.org/10.11144/Javeriana.cao29-53.oacs
dc.sourceTouboulic, A., Matthews, L., & Marques, L. (2018). On the road to carbon reduction in a food supply network: a complex adaptive systems perspective. Supply Chain Manag., 23(4), 313-335. https://doi. org/10.1108/SCM-06-2017-0214
dc.sourceSantamaria, F., Trujillo, C. L., & Hernandez, J. A. (2016). A proposed index to evaluate the state of legislation fostering distributed generation in Latin America and the Caribbean. Electr. J., 29(2), 66-74. https:// doi.org/10.1016/j.tej.2016.02.007
dc.sourceVillarreal, B., Garza-Reyes, J. A., & Kumar, V. (2016). A lean thinking and simulation-based approach for the improvement of routing operations. Ind. Manag. Data Syst., 116(5), 903-925. https://doi.org/10.1108/ IMDS-09-2015-0385
dc.sourceFuchshofen, N., Hirsch, D., Brodtmann, L. I., & Terlau, W. (2018). Production, consumption and the actor’s landscape in the Argentinean organic agricultural and food sector. Int. J. Food Syst. Dyn., 9(5), 419- 437. https://doi.org/10.18461/ijfsd.v9i5.954
dc.sourceMascarenhas, A. O., Dias, S. L. G., & Baptista, R. M. (2015). Elements for discussion of modern slave labor as a management practice. rae Rev. Adm. Empres., 55(2), 175-187. https://doi.org/10.1590/S0034- 759020150207
dc.sourceMelnyk, S. A., Flynn, B. B., & Awaysheh, A. (2018). The best of times and the worst of times: empirical operations and supply chain management research. Int. J. Prod. Res., 56(1-2), 164-192. https://doi.org/ 10.1080/00207543.2017.1391423
dc.sourceMatta, E. J. (2018). Pollution in the Uruguay-Argentina border: critical data analysis from two rivers and the pulp mill effluent. Int. J. Environ. Health, 9(1), 84-109. https://doi.org/10.1504/IJENVH.2018.090876
dc.sourceTobar-Pesántez, L., & Solano-Gallegos, S. (2018). The importance of small and medium enterprises in the city of Cuenca-Ecuador and their contribution to the creation of employment. Acad. Account. Financ. Stud. J., 22(2).
dc.sourceFrank, B., Enkawa, T., Schvaneveldt, S. J., & Herbas Torrico, B. (2015). Antecedents and consequences of innate willingness to pay for innovations: understanding motivations and consumer preferences of prospective early adopters. Technol. Forecast. Soc. Change, 99, 252- 266. https://doi.org/10.1016/j.techfore.2015.06.029
dc.sourceDakessian, L. C., & Feldmann, P. R. (2013). Multilatinas and value creation from cross-border acquisitions: an event study approach. bar - Braz. Adm. Rev., 10(4), 462-489. https://doi.org/10.1590/S1807- 76922013000400006
dc.sourceFernando Schmidt, H. (2017). Engaging Taiwan and overcoming its protectionism: an analysis of the case of meat trade. Tamkang J. Int. Aff., 21(1), 131-194. https://doi.org/10.6185/TJIA.V.21.N1.P131P194
dc.sourceCardoza, G., Fornes, G., Farber, V., Gonzalez Duarte, R., & Ruiz Gutierrez, J. (2016). Barriers and public policies affecting the international expansion of Latin American smes: evidence from Brazil, Colombia, and Peru. J. Bus. Res., 69(6), 2030-2039. https://doi.org/10.1016/j. jbusres.2015.10.148
dc.sourceCabello Eras, J. J., Sagastume Gutiérrez, A., García Lorenzo, D., Cogollos Martínez, J. B., Hens, L., & Vandecasteele, C. (2015). Bridging universities and industry through cleaner production activities. Experiences from the Cleaner Production Center at the University of Cienfuegos, Cuba. J. Clean. Prod., 108, 873-882. https://doi.org/10.1016/j. jclepro.2014.11.063
dc.sourceHermans, M., et al. (2017). Attitudes towards women’s career advancement in Latin America: the moderating impact of perceived company international proactiveness. J. Int. Bus. Stud., 48(1), 90-112. https:// doi.org/10.1057/s41267-016-0039-7
dc.sourceCárdenas, M. C., et al. (2014). Latin American female business executives: an interesting surprise. Gend. Manag., 29(1), 2-24. https://doi. org/10.1108/GM-06-2013-0067
dc.sourceGarrido-Vega, P., Ortega Jimenez, C. H., De los Ríos, J. L., & Morita, M. (2015). Implementation of technology and production strategy practices: relationship levels in different industries. Int. J. Prod. Econ., 161, 201-216. https://doi.org/10.1016/j.ijpe.2014.07.011
dc.sourceTirado-Estrada, G., et al. (2018). Potential impacts of dietary Lemna gibba supplements in a simulated ruminal fermentation system and environmental biogas production. J. Clean. Prod., 181, 555-561. https:// doi.org/10.1016/j.jclepro.2018.01.120
dc.sourcePérez-Pineda, F., Alcaraz, J. M., & Colón, C. (2017). Creating sustainable value in the hospitality industry: a (critical) multi-stakeholder study in the Dominican Republic. J. Sustain. Tour., 25(11), 1633-1649. https://doi.org/10.1080/09669582.2017.1297451
dc.sourceHoyos, N., et al. (2017). The environmental envelope of fires in the Colombian Caribbean. Appl. Geogr., 84, 42-54. https://doi. org/10.1016/j.apgeog.2017.05.001
dc.sourceRichter, U. H. (2010). Liberal thought in reasoning on csr. J. Bus. Ethics, 97(4), 625-649. https://doi.org/10.1007/s10551-010-0529-7
dc.sourceComer, G., Larrymore, N., & Rodriguez, J. (2008). Measuring the value of active fund management: the case of hybrid mutual funds. Manag. Finance, 35(1), 63-77. https://doi.org/10.1108/03074350910922591
dc.sourceOviedo-García, M. Á., Castellanos-Verdugo, M., Vega-Vázquez, M., & Orgaz-Agüera, F. (2017). The mediating roles of the overall perceived value of the ecotourism site and attitudes towards ecotourism in sustainability through the key relationship ecotourism knowledge-ecotourist satisfaction. Int. J. Tour. Res., 19(2), 203-213. https://doi.org/10.1002/ jtr.2097
dc.sourceJurburg, D., Viles, E., Jaca, C., & Tanco, M. (2015). Why are companies still struggling to reach higher continuous improvement maturity levels? Empirical evidence from high performance companies. tqm J., 27, (3), 316-327. https://doi.org/10.1108/TQM-11-2013-0123
dc.sourceOtálora, J., Olaya, D., Borda, J., & Escobar, A. (2016). Effects of ias 32 on equity instruments: a study of Colombian cooperatives. Rev. Venez. Gerenc., 21(76), 653-672.
dc.sourceinstname:Universidad del Rosario
dc.sourcereponame:Repositorio Institucional EdocUR
dc.subjectInvestigación en administración
dc.subjectAmérica Latina
dc.subjectmapas de ciencia
dc.subjectacoplamiento bibliográfico
dc.subjectBibliometría
dc.titleAtlas de la investigación en administración en América Latina Vol. 1
dc.typeworkingPaper


Este ítem pertenece a la siguiente institución