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Mapeo de la Huella Sostenible de la Generación Z: Conclusiones de un Estudio Bibliométrico
Barra lateral del artículo
Publicado:
2025-12-29
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Resumen
La generación Z, un grupo de edad nacido entre 1997 y 2012, es conocida por sus valores y comportamientos orientados a la sostenibilidad y está influyendo cada vez más en los patrones de consumo globales. A pesar de la extensa bibliografía sobre la generación Z y la sostenibilidad, el análisis bibliométrico sistemático en este ámbito es notablemente limitado. Este estudio pretende llenar ese vacío analizando la bibliografía sobre la adopción de la sostenibilidad por parte de la generación Z, centrándose en cuatro sectores clave: turismo, moda, alimentación y hostelería. Los datos obtenidos de Scopus arrojaron 2236 artículos en inglés en la búsqueda inicial, que se refinaron a 1440 resultados basados en las palabras clave «Generación Z» y «Generación Z». Se realizó un filtrado adicional con la adición de la palabra clave «Sostenibilidad», lo que redujo la selección a 173 artículos finales. Utilizando el software VOSviewer, se llevó a cabo un análisis del rendimiento y un mapeo científico de los 173 artículos para evaluar las tendencias de publicación, las métricas de citas, los autores clave, las revistas influyentes y las redes de coocurrencia de las palabras clave. El análisis del rendimiento revela un aumento significativo de las publicaciones, que pasan de 1 en 2016 a 55 artículos en 2023. Se observa una evolución paralela en el número de citas, que pasó de 5 en 2019 a 474 en 2023. Los resultados indican un aumento anual de las publicaciones centradas en la sostenibilidad, con la emergencia de turismo como el sector más comentado. «Sustainability (Suiza)» se identifica como la revista más importante en el acoplamiento bibliográfico. Dado que los datos se recopilan exclusivamente de la base de datos Scopus, su capacidad para analizar citas y metadatos de forma tan exhaustiva como SSCI y Web of Science es limitada. El presente estudio ofrece conocimientos valiosos a las empresas para diseñar estrategias basadas en valores que fomenten un comportamiento responsable entre la generación Z. Los legisladores pueden integrar iniciativas sostenibles que se ajusten al sistema de valores de la generación Z. El estudio puede ayudar a los académicos a diseñar planes de estudio que se ajusten a los Objetivos de Desarrollo Sostenible y fomenten la ciudadanía responsable.
Detalles del artículo
Sección
Desarrollo Territorial Sostenible
Cómo citar
Mapeo de la Huella Sostenible de la Generación Z: Conclusiones de un Estudio Bibliométrico. (2025). UCJC Business and Society Review (formerly Known As Universia Business Review), 22(87). https://doi.org/10.57087/ucjcbsr.2025.22.87.4797
Referencias
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11. Dede E, Ozdemir E. Mapping and performance evaluation of mathematics education research in Turkey: A bibliometric analysis from 2005 to 2021. J Pedagog Res .2022; Available from: http://dx.doi.org/10.33902/jpr.202216829
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14. Donthu N, Kumar S, Pattnaik D. Forty-five years of Journal of Business Research: A bibliometric analysis. J Bus Res .2020;109:1–14. Available from: http://dx.doi.org/10.1016/j.jbusres.2019.10.039
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17. Fischer D, Böhme T, Geiger SM. Measuring young consumers’ sustainable consumption behavior: development and validation of the YCSCB scale. Young Consum Insight Ideas Responsible Mark .2017;18(3):312–26. Available from: http://dx.doi.org/10.1108/yc-03-2017-00671
18. Gutiérrez-Salcedo M, MartÃnez MÃ, Moral-Munoz JA, Herrera-Viedma E, Cobo MJ. Some bibliometric procedures for analyzing and evaluating research fields. Appl Intell .2017; Available from: http://dx.doi.org/10.1007/s10489-017-1105-y
19. Hallinger P, KovaÄević J. Science mapping the knowledge base in educational leadership and management: A longitudinal bibliometric analysis, 1960 to 2018. Educ Manag Adm Leadersh .2021;49(1):5–30. Available from: http://dx.doi.org/10.1177/1741143219859002
20. Jacobs K, Petersen L, Hörisch J, Battenfeld D. Green thinking but thoughtless buying? An empirical extension of the value-attitude-behaviour hierarchy in sustainable clothing. J Clean Prod [Internet]. 2018;203:1155–69. Available from: http://dx.doi.org/10.1016/j.jclepro.2018.07.320
21. Jarneving B. Bibliographic coupling and its application to research-front and other core documents. J Informetr .2007;1(4):287–307. Available from: http://dx.doi.org/10.1016/j.joi.2007.07.004
22. Khan A, Goodell JW, Hassan MK, Paltrinieri A. A bibliometric review of finance bibliometric papers. Fin Res Lett .2022;47(102520):102520. Available from: http://dx.doi.org/10.1016/j.frl.2021.102520
23. Leal Filho W, Wu Y-CJ, Brandli LL, Avila LV, Azeiteiro UM, Caeiro S, et al. Identifying and overcoming obstacles to the implementation of sustainable development at universities. J Integr Environ Sci .2017;14(1):93–108. Available from: http://dx.doi.org/10.1080/1943815x.2017.1362007
24. Li P, Hasnah Hassan S. Mapping the literature on Gen Z purchasing behavior: A bibliometric analysis using VOSviewer. Innov Mark .2023;19(3):62–73. Available from: http://dx.doi.org/10.21511/im.19(3).2023.06
25. Lu K, Wolfram D. Measuring author research relatedness: A comparison of wordâ€based, topicâ€based, and author cocitation approaches. J Am Soc Inf Sci Technol .2012;63(10):1973–86. Available from: http://dx.doi.org/10.1002/asi.22628
26. Moral-Munoz JA, López-Herrera AG, Herrera-Viedma E, Cobo MJ. Science Mapping Analysis Software Tools: A Review. In: Springer Handbook of Science and Technology Indicators. Cham: Springer International Publishing; 2019. p. 159–85.
27. Page MJ, McKenzie J, Bossuyt P, Boutron I, Hoffmann T, Mulrow C d., et al. Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement .BITSS. 2020. Available from: http://dx.doi.org/10.31222/osf.io/jb4dx
28. Peers, J. (2021, July). Gen Z: Who else? https://www.mirova.com/sites/default/files/2021-07/Gen Z who else_ENG.pdf
29. Pichler S, Kohli C, Granitz N. DITTO for Gen Z: A framework for leveraging the uniqueness of the new generation. Bus Horiz .2021;64(5):599–610. Available from: http://dx.doi.org/10.1016/j.bushor.2021.02.021
30. Pilcher J. Mannheim’s sociology of generations: An undervalued legacy. Br J Sociol .1994;45(3):481. Available from: http://dx.doi.org/10.2307/591659
31. Pinho M, Gomes S. Generation Z as a critical question mark for sustainable tourism – An exploratory study in Portugal. J Tour Futures .2023; Available from: http://dx.doi.org/10.1108/jtf-07-2022-0171
32. Priporas, C.-V., Stylos, N., & Kamenidou, I. (Eirini). (2020). City image, city brand personality and generation Z residents’ life satisfaction under economic crisis: Predictors of city-related social media engagement. Journal of Business Research, 119, 453–463. https://doi.org/10.1016/j.jbusres.2019.05.019
33. Ruspini E. The future of tourism: innovation and sustainability. Anatolia .2019;30(1):162–4. Available from: http://dx.doi.org/10.1080/13032917.2018.1552055
34. Schewe CD, Meredith G. Segmenting global markets by generational cohorts: determining motivations by age. J Consum Behav .2004;4(1):51–63. Available from: http://dx.doi.org/10.1002/cb.157
35. Streimikis J, Saraji MK. Green productivity and undesirable outputs in agriculture: a systematic review of DEA approach and policy recommendations. Econ Res-Ekon Istraž .2022;35(1):819–53. Available from: http://dx.doi.org/10.1080/1331677x.2021.1942947
36. Turner A. Generation Z: Technology and social interest. J Individ Psychol (1998) .2015;71(2):103–13. Available from: http://dx.doi.org/10.1353/jip.2015.0021
37. UNWTO. Global Report on The Power of Youth Travel .2016. Available from: https://www.wysetc.org/wp-content/uploads/2016/03/Global-Report_Power-of-Youth-Travel_2016.pdf
38. Wang M, Chai L. Three new bibliometric indicators/approaches derived from keyword analysis. Scientometrics .2018;116(2):721–50. Available from: http://dx.doi.org/10.1007/s11192-018-2768-9
39. Wang X, Qin Y, Xu Z, Škare M. A look at the focus shift in innovation literature due to Covid-19 pandemic. J Bus Res .2022;145:1–20. Available from: http://dx.doi.org/10.1016/j.jbusres.2022.02.067
40. Wang X, Xu Z, Qin Y, Skare M. Service networks for sustainable business: A dynamic evolution analysis over half a century. J Bus Res .2021;136:543–57. Available from: http://dx.doi.org/10.1016/j.jbusres.2021.07.062
41. Wang X, Xu Z, Su S-F, Zhou W. A comprehensive bibliometric analysis of uncertain group decision making from 1980 to 2019. Inf Sci (Ny) .2021;547:328–53. Available from: http://dx.doi.org/10.1016/j.ins.2020.08.036
42. Wuelser G, Pohl C. How researchers frame scientific contributions to sustainable development: a typology based on grounded theory. Sustain Sci .2016;11(5):789–800. Available from: http://dx.doi.org/10.1007/s11625-016-0363-7
43. Xu Z, Wang X, Wang X, Skare M. A comprehensive bibliometric analysis of entrepreneurship and crisis literature published from 1984 to 2020. J Bus Res .2021;135:304–18. Available from: http://dx.doi.org/10.1016/j.jbusres.2021.06.051
44. Yamane T, Kaneko S. Is the younger generation a driving force toward achieving the sustainable development goals? Survey experiments. J Clean Prod .2021;292(125932):125932. Available from: http://dx.doi.org/10.1016/j.jclepro.2021.125932
45. Yamane T, Kaneko S. Is the younger generation a driving force toward achieving the sustainable development goals? Survey experiments. J Clean Prod .2021;292(125932):125932. Available from: http://dx.doi.org/10.1016/j.jclepro.2021.125932
46. Żarczyńska A. Nicola DE Bellis: Bibliometrics and citation analysis, from the science citation index to cybermetrics, Lanham, Toronto, Plymouth 2009. Toruńskie Stud Bibliol .2012;5(1 (8)). Available from: http://dx.doi.org/10.12775/tsb.2012.009
47. Zhou X, Zhou M, Huang D, Cui L. A probabilistic model for co-occurrence analysis in bibliometrics. J Biomed Inform .2022;128(104047):104047. Available from: http://dx.doi.org/10.1016/j.jbi.2022.104047
48. Zupic I, Čater T. Bibliometric methods in management and organization. Organ Res Methods .2015;18(3):429–72. Available from: http://dx.doi.org/10.1177/1094428114562629
2. Anuar A, Marwan NF, Smith J, Siriyanun S, Sharif A. Bibliometric analysis of immigration and environmental degradation: evidence from past decades. Environ Sci Pollut Res Int .2022;29(9):13729–41. Available from: http://dx.doi.org/10.1007/s11356-021-16470-1
3. Arora N, Manchanda P. Green perceived value and intention to purchase sustainable apparel among Gen Z: The moderated mediation of attitudes. J Glob Fashion Mark .2022;13(2):168–85. Available from: http://dx.doi.org/10.1080/20932685.2021.2021435
4. Babayemi JO, Dauda KT. Evaluation of solid waste generation, categories and disposal options in developing countries: A case study of Nigeria. J Appl Sci Environ Manage .2010;13(3). Available from: http://dx.doi.org/10.4314/jasem.v13i3.55370
5. Bota-Avram C. Bibliometric analysis of sustainable business performance: where are we going? A science map of the field. Econ Res-Ekon Istraž .2023;36(1):2137–76. Available from: http://dx.doi.org/10.1080/1331677x.2022.2096094
6. Braam RR, Moed HF, van Raan AFJ. Mapping of science by combined co-citation and word analysis. II: Dynamical aspects. J Am Soc Inf Sci .1991;42(4):252–66. Available from: http://dx.doi.org/10.1002/(sici)1097-4571(199105)42:4<252::aid-asi2>3.0.co;2-g
7. Caputo A, Pizzi S, Pellegrini MM, Dabić M. Digitalization and business models: Where are we going? A science map of the field. J Bus Res .2021;123:489–501. Available from: http://dx.doi.org/10.1016/j.jbusres.2020.09.053
8. Chen C. Science mapping: A systematic review of the literature. J Data Inf Sci .2017;2(2):1–40. Available from: http://dx.doi.org/10.1515/jdis-2017-0006
9. Cobo MJ, López-Herrera AG, Herrera-Viedma E, Herrera F. An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field. J Informetr .2011;5(1):146–66. Available from: http://dx.doi.org/10.1016/j.joi.2010.10.002
10. de Leeuw A, Valois P, Ajzen I, Schmidt P. Using the theory of planned behavior to identify key beliefs underlying pro-environmental behavior in high-school students: Implications for educational interventions. J Environ Psychol .2015; 42:128–38. Available from: http://dx.doi.org/10.1016/j.jenvp.2015.03.005
11. Dede E, Ozdemir E. Mapping and performance evaluation of mathematics education research in Turkey: A bibliometric analysis from 2005 to 2021. J Pedagog Res .2022; Available from: http://dx.doi.org/10.33902/jpr.202216829
12. Disterheft A, Caeiro S, Azeiteiro UM, Leal Filho W. Sustainability science and education for sustainable development in universities: A way for transition. In: Sustainability Assessment Tools in Higher Education Institutions. Cham: Springer International Publishing; 2013. p. 3–27.
13. Donthu N, Kumar S, Mukherjee D, Pandey N, Lim WM. How to conduct a bibliometric analysis: An overview and guidelines. J Bus Res .2021;133:285–96. Available from: http://dx.doi.org/10.1016/j.jbusres.2021.04.070
14. Donthu N, Kumar S, Pattnaik D. Forty-five years of Journal of Business Research: A bibliometric analysis. J Bus Res .2020;109:1–14. Available from: http://dx.doi.org/10.1016/j.jbusres.2019.10.039
15. Ellili NOD. Bibliometric analysis of sustainability papers: Evidence from Environment, Development and sustainability. Environ Dev Sustain .2023;26(4):8183–209. Available from: http://dx.doi.org/10.1007/s10668-023-03067-6
16. Falagas ME, Pitsouni EI, Malietzis GA, Pappas G. Comparison of PubMed, Scopus, Web of Science, and Google Scholar: strengths and weaknesses. FASEB J .2008;22(2):338–42. Available from: http://dx.doi.org/10.1096/fj.07-9492lsf
17. Fischer D, Böhme T, Geiger SM. Measuring young consumers’ sustainable consumption behavior: development and validation of the YCSCB scale. Young Consum Insight Ideas Responsible Mark .2017;18(3):312–26. Available from: http://dx.doi.org/10.1108/yc-03-2017-00671
18. Gutiérrez-Salcedo M, MartÃnez MÃ, Moral-Munoz JA, Herrera-Viedma E, Cobo MJ. Some bibliometric procedures for analyzing and evaluating research fields. Appl Intell .2017; Available from: http://dx.doi.org/10.1007/s10489-017-1105-y
19. Hallinger P, KovaÄević J. Science mapping the knowledge base in educational leadership and management: A longitudinal bibliometric analysis, 1960 to 2018. Educ Manag Adm Leadersh .2021;49(1):5–30. Available from: http://dx.doi.org/10.1177/1741143219859002
20. Jacobs K, Petersen L, Hörisch J, Battenfeld D. Green thinking but thoughtless buying? An empirical extension of the value-attitude-behaviour hierarchy in sustainable clothing. J Clean Prod [Internet]. 2018;203:1155–69. Available from: http://dx.doi.org/10.1016/j.jclepro.2018.07.320
21. Jarneving B. Bibliographic coupling and its application to research-front and other core documents. J Informetr .2007;1(4):287–307. Available from: http://dx.doi.org/10.1016/j.joi.2007.07.004
22. Khan A, Goodell JW, Hassan MK, Paltrinieri A. A bibliometric review of finance bibliometric papers. Fin Res Lett .2022;47(102520):102520. Available from: http://dx.doi.org/10.1016/j.frl.2021.102520
23. Leal Filho W, Wu Y-CJ, Brandli LL, Avila LV, Azeiteiro UM, Caeiro S, et al. Identifying and overcoming obstacles to the implementation of sustainable development at universities. J Integr Environ Sci .2017;14(1):93–108. Available from: http://dx.doi.org/10.1080/1943815x.2017.1362007
24. Li P, Hasnah Hassan S. Mapping the literature on Gen Z purchasing behavior: A bibliometric analysis using VOSviewer. Innov Mark .2023;19(3):62–73. Available from: http://dx.doi.org/10.21511/im.19(3).2023.06
25. Lu K, Wolfram D. Measuring author research relatedness: A comparison of wordâ€based, topicâ€based, and author cocitation approaches. J Am Soc Inf Sci Technol .2012;63(10):1973–86. Available from: http://dx.doi.org/10.1002/asi.22628
26. Moral-Munoz JA, López-Herrera AG, Herrera-Viedma E, Cobo MJ. Science Mapping Analysis Software Tools: A Review. In: Springer Handbook of Science and Technology Indicators. Cham: Springer International Publishing; 2019. p. 159–85.
27. Page MJ, McKenzie J, Bossuyt P, Boutron I, Hoffmann T, Mulrow C d., et al. Updating guidance for reporting systematic reviews: development of the PRISMA 2020 statement .BITSS. 2020. Available from: http://dx.doi.org/10.31222/osf.io/jb4dx
28. Peers, J. (2021, July). Gen Z: Who else? https://www.mirova.com/sites/default/files/2021-07/Gen Z who else_ENG.pdf
29. Pichler S, Kohli C, Granitz N. DITTO for Gen Z: A framework for leveraging the uniqueness of the new generation. Bus Horiz .2021;64(5):599–610. Available from: http://dx.doi.org/10.1016/j.bushor.2021.02.021
30. Pilcher J. Mannheim’s sociology of generations: An undervalued legacy. Br J Sociol .1994;45(3):481. Available from: http://dx.doi.org/10.2307/591659
31. Pinho M, Gomes S. Generation Z as a critical question mark for sustainable tourism – An exploratory study in Portugal. J Tour Futures .2023; Available from: http://dx.doi.org/10.1108/jtf-07-2022-0171
32. Priporas, C.-V., Stylos, N., & Kamenidou, I. (Eirini). (2020). City image, city brand personality and generation Z residents’ life satisfaction under economic crisis: Predictors of city-related social media engagement. Journal of Business Research, 119, 453–463. https://doi.org/10.1016/j.jbusres.2019.05.019
33. Ruspini E. The future of tourism: innovation and sustainability. Anatolia .2019;30(1):162–4. Available from: http://dx.doi.org/10.1080/13032917.2018.1552055
34. Schewe CD, Meredith G. Segmenting global markets by generational cohorts: determining motivations by age. J Consum Behav .2004;4(1):51–63. Available from: http://dx.doi.org/10.1002/cb.157
35. Streimikis J, Saraji MK. Green productivity and undesirable outputs in agriculture: a systematic review of DEA approach and policy recommendations. Econ Res-Ekon Istraž .2022;35(1):819–53. Available from: http://dx.doi.org/10.1080/1331677x.2021.1942947
36. Turner A. Generation Z: Technology and social interest. J Individ Psychol (1998) .2015;71(2):103–13. Available from: http://dx.doi.org/10.1353/jip.2015.0021
37. UNWTO. Global Report on The Power of Youth Travel .2016. Available from: https://www.wysetc.org/wp-content/uploads/2016/03/Global-Report_Power-of-Youth-Travel_2016.pdf
38. Wang M, Chai L. Three new bibliometric indicators/approaches derived from keyword analysis. Scientometrics .2018;116(2):721–50. Available from: http://dx.doi.org/10.1007/s11192-018-2768-9
39. Wang X, Qin Y, Xu Z, Škare M. A look at the focus shift in innovation literature due to Covid-19 pandemic. J Bus Res .2022;145:1–20. Available from: http://dx.doi.org/10.1016/j.jbusres.2022.02.067
40. Wang X, Xu Z, Qin Y, Skare M. Service networks for sustainable business: A dynamic evolution analysis over half a century. J Bus Res .2021;136:543–57. Available from: http://dx.doi.org/10.1016/j.jbusres.2021.07.062
41. Wang X, Xu Z, Su S-F, Zhou W. A comprehensive bibliometric analysis of uncertain group decision making from 1980 to 2019. Inf Sci (Ny) .2021;547:328–53. Available from: http://dx.doi.org/10.1016/j.ins.2020.08.036
42. Wuelser G, Pohl C. How researchers frame scientific contributions to sustainable development: a typology based on grounded theory. Sustain Sci .2016;11(5):789–800. Available from: http://dx.doi.org/10.1007/s11625-016-0363-7
43. Xu Z, Wang X, Wang X, Skare M. A comprehensive bibliometric analysis of entrepreneurship and crisis literature published from 1984 to 2020. J Bus Res .2021;135:304–18. Available from: http://dx.doi.org/10.1016/j.jbusres.2021.06.051
44. Yamane T, Kaneko S. Is the younger generation a driving force toward achieving the sustainable development goals? Survey experiments. J Clean Prod .2021;292(125932):125932. Available from: http://dx.doi.org/10.1016/j.jclepro.2021.125932
45. Yamane T, Kaneko S. Is the younger generation a driving force toward achieving the sustainable development goals? Survey experiments. J Clean Prod .2021;292(125932):125932. Available from: http://dx.doi.org/10.1016/j.jclepro.2021.125932
46. Żarczyńska A. Nicola DE Bellis: Bibliometrics and citation analysis, from the science citation index to cybermetrics, Lanham, Toronto, Plymouth 2009. Toruńskie Stud Bibliol .2012;5(1 (8)). Available from: http://dx.doi.org/10.12775/tsb.2012.009
47. Zhou X, Zhou M, Huang D, Cui L. A probabilistic model for co-occurrence analysis in bibliometrics. J Biomed Inform .2022;128(104047):104047. Available from: http://dx.doi.org/10.1016/j.jbi.2022.104047
48. Zupic I, Čater T. Bibliometric methods in management and organization. Organ Res Methods .2015;18(3):429–72. Available from: http://dx.doi.org/10.1177/1094428114562629