Publicado

2026-04-05

Relación entre capacidad de reconfiguración y capacidad de innovación: una aplicación en el sector hotelero

Relationship between reconfiguration capabilities and innovation capability: An application in the hotel industry

DOI:

https://doi.org/10.15446/cuad.econ.v45n97.107954

Palabras clave:

Capacidad de reconfiguración, Capacidades dinámicas, Capacidad de innovación, Efectos moderadores, PLS-SEM (es)
Dynamic capabilities, innovation capability, reconfiguration capability, moderating effects , PLS-SEM (en)

Descargas

Autores/as

  • Héctor Cuevas-Vargas Universidad Tecnologica del Suroeste de Guanajuato https://orcid.org/0000-0001-5779-7522
  • José Luis Martínez Campo Universidad Autónoma del Caribe
  • Noé Velázquez-Espinoza Universidad EAN

Este artículo analiza las relaciones entre capacidad de reconfiguración y capaci dad de innovación en pymes del sector hotelero del departamento del Atlántico (Colombia). Se aplica modelación de ecuaciones estructurales por mínimos cua drados parciales (PLS-SEM) para evaluar la interacción de las variables en estu dio. Se encuentra que la capacidad de reconfiguración influye de manera positiva en la capacidad de innovación. Así mismo, el tamaño y la edad de la empresa moderan negativamente la relación entre capacidad de reconfiguración y capaci dad de innovación; es decir, a menor tamaño y edad de la empresa, mayor la rela ción entre ambas capacidades.

This paper analyzes the relationship between reconfiguration capability and innovation capability in SMEs in the hotel sector of the department of Atlántico (Colombia). Structural equation modelling by partial least squares (PLS-SEM) was applied to evaluate the interaction of the variables under study. Findings indi cate that organisation’s ability to reconfigure positively influences the capability to innovate. Additionally, the results show that the size and age of the organisations negatively moderate the relationship between reconfiguration capability and inno vation capability; that is, the smaller the size and age of the company, the greater the relationship between both capacities.

Referencias

1. Argote, L., & Miron-Spektor, E. (2011). Organizational learning: From experience to knowledge. Organization Science, 22(5), 1123-1137. https://doi.org/10.1287/orsc.1100.0621

2. Atuahene-Gima, K., & Murray, J. Y. (2007). Exploratory and exploitative learning in new product development: A social capital perspective on new technology ventures in China. Journal of International Marketing, 15(2), 1-29. https://doi.org/10.1509/jimk.15.2.1

3. Bari, N., Chimhundu, R., & Chan, K.C. (2022). Dynamic capabilities to achieve corporate sustainability: A roadmap to sustained competitive advan tage. Sustainability (Switzerland), 14(3), 1531. https://doi.org/10.3390/ su14031531

4. Becker, J.-M., Klein, K., & Wetzels, M. (2012). Hierarchical latent vari able models in PLS-SEM: Guidelines for using reflective-formative type models. Long Range Planning, 45(5-6), 359-394. https://doi.org/10.1016/j. lrp.2012.10.001

5. Biesenthal, C., Gudergan, S., & Ambrosini, V. (2019). The role of osten sive and performative routine aspects in dynamic capability deployment at different organizational levels. Long Range Planning, 52(3), 350-365. https://doi.org/10.1016/j.lrp.2018.03.006

6. Brem, A., Viardot, E., & Nylund, P. A. (2021). Implications of the coronavi rus (COVID-19) outbreak for innovation: Which technologies will improve our lives? Technological Forecasting and Social Change, 163(November 2020), 120451. https://doi.org/10.1016/j.techfore.2020.120451

7. Breznik, L., & Hisrich, R. D. (2014). Dynamic capabilities vs. innovation capability: Are they related? Journal of Small Business and Enterprise Devel opment, 21(3), 368-384. https://doi.org/10.1108/JSBED-02-2014-0018

8. Buccieri, D., Javalgi, R. G., & Cavusgil, E. (2022). Role of opportunity creation between reconfiguration and innovation: Insights from emerg ing market international new ventures. International Business Review, 102100. https://doi.org/10.1016/j.ibusrev.2022.102100

9. Calik, E., Calisir, F., & Cetinguc, B. (2017). A scale development for innovation capability measurement. Journal of Advanced Management Science, 5(2), 69-76. https://doi.org/10.18178/joams.5.2.69-76

10. Cao, N., Wang, J., Wang, Y., & Yu, L. (2021). Towards enterprise sustain able innovation process: Through boundary-spanning search and capability reconfiguration. Processes, 9(11), 1-16. https://doi.org/10.3390/PR9112092

11. Chen, Y. (Ken), Coviello, N., & Ranaweera, C. (2021). How does dynamic network capability operate? A moderated mediation analysis with NPD speed and firm age. Journal of Business and Industrial Marketing, 36(2), 292-306. https://doi.org/10.1108/JBIM-01-2020-0050

12. Chin, W. W. (1998). The partial least squares approach to structural equa tion modeling. En G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295-358). Lawrence Erlbaum Associates Publishers.

13. Costa, J. H. de P., & Pereira, Y. V. (2020). The dynamic capabilities of AccorHotels in Brazil. Journal of Hospitality and Tourism, 3(2), 253-269. https://doi.org/10.1108/JHTI-03-2019-0034

14. Cuevas-Vargas, H., Aguirre, J., & Parga-Montoya, N. (2022a). Impact of ICT adoption on absorptive capacity and open innovation for greater firm performance. The mediating role of ACAP. Journal of Business Research, 140(February), 11-24. https://doi.org/10.1016/j.jbusres.2021.11.058

15. Cuevas-Vargas, H., Camarena, J. L., & Velázquez-Espinoza, N. (2022b). Sustainability performance as a result of frugal innovation. The moderat ing effect of firm size. Procedia Computer Science, 214, 141-148. https:// doi.org/10.1016/j.procs.2022.11.159

16. Cuevas-Vargas, H., Cortés-Palacios, H. A., Parga-Montoya, N., & Cos sio-Vargas, E. (2024). Exploring the interplay between capital structure, information and communication technologies adoption, and business inno vation: A mediation model analysis. En J. Mejía, M. Muñoz, A. Rocha, Y. Hernández Pérez, & H. Ávila-George (Eds.), New perspectives in software engineering. Studies in computational intelligence (1st ed., pp. 349-364). Springer Nature. https://doi.org/10.1007/978-3-031-50590-4_22

17. Cuevas-Vargas, H., Lozano-García, J. J., Morales-García, R., & Castaño Guevara, S. (2023). Transformational leadership and innovation to boost business performance: The case of small Mexican firms. Procedia Com puter Science, 221, 1139-1146. https://doi.org/10.1016/j.procs.2023.08.099

18. Danks, N. P., & Ray, S. (2018). Predictions from partial least squares mod els. En: F. Ali, S. M. Rasoolimanesh, & C. Cobanoglu (Eds.), Applying par tial least squares in tourism and hospitality research (pp. 35-52). Emerald Publishing Limited. https://doi.org/10.1108/978-1-78756-699-620181003

19. Dawson, J. F. (2014). Moderation in management research: What, why, when, and how. Journal of Business and Psychology, 29(1), 1-19. https:// doi.org/10.1007/S10869-013-9308-7

20. Demuner Flores, M. del R. (2021). Innovation capacity in Mexican companies: Mediation in the relationship orientation to learning-busi ness performance. Acta Universitaria, 31(Acta Univ.), 1-19. https://doi. org/10.15174/au.2021.3185

21. Dijkstra, T. K., & Henseler, J. (2015). Consistent and asymptotically normal PLS estimators for linear structural equations. Computational Statistics and Data Analysis, 81, 10-23. https://doi.org/10.1016/j.csda.2014.07.008

22. Donate, M. J., González-Mohíno, M., Paolo Appio, F., & Bernhard, F. (2022). Dealing with knowledge hiding to improve innovation capabil ities in the hotel industry: The unconventional role of knowledge-ori ented leadership. Journal of Business Research, 144(February), 572-586. https://doi.org/10.1016/j.jbusres.2022.02.001

23. Donate, M. J., Guadamillas, F., & González-Mohíno, M. (2023). Solving task management conflict in hotel establishments through knowledge man agement tools: Effects on innovation capabilities. Journal of Knowledge Management, 27(11), 157-186. https://doi.org/10.1108/JKM-10-2022-0852

24. Dutta, K. (2021). Exploring dynamic capabilities: A systems thinking approach. Systems Research and Behavioral Science, 38(1), 125-136. https://doi.org/10.1002/sres.2660

25. Eisenhardt, K. M., & Martin, J. A. (2000). Dynamic capabilities: What are they? Strategic Management Journal, 21(10-11), 1105-1121. https:// www.jstor.org/stable/3094429

26. Esparza García, I. G., Clark Mendivil, Y., & Sánchez Guerrero, M. (2022). Capacidades dinámicas e innovación: origen de la competitividad en empresas de servicios turísticos en México. Revista de Ciencias Socia les, XXVIII(Especial 6), 395-411.

27. Estrada, S., Cuevas-Vargas, H., & Morua-Ramírez, J. (2017). Small busi ness innovation and organizational performance in an Ibero-American context. Lectures on Modelling and Simulation; A Selection from AMSE # 2016, 57-69.

28. Estrada, S., Cuevas-Vargas, H., Toraldo, M. L., & Benassi, M. (2023). Barriers to hospitality innovativeness: The Colombian case. International Journal of Business Environment, 14(3), 277-302. https://doi.org/10.1504/ IJBE.2023.131875

29. Fernandes Sampaio, C. A., Hernández Mogollón, J. M., & Gouveia Rodrigues, R. J. de A. (2020). The relationship between market orien tation, customer loyalty and business performance: A sample from the Western Europe hotel industry. Tourism and Hospitality Research, 20(2), 131-143. https://doi.org/10.1177/1467358419829179

30. Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation mod els with unobservable variables and measurement error. Journal of Mar keting Research, 18(1), 39-50. https://doi.org/10.2307/3151312

31. Fukuzawa, M. (2015). Dynamic capability as fashion. Annals of Business Administrative Science, 14(2), 83-96. https://doi.org/10.7880/abas.14.83

32. Geisser, S. (1974). A predictive approach to the random effect model. Biometrika, 61(1), 101-107. https://doi.org/10.1093/biomet/61.1.101

33. Giniuniene, J., & Jurksiene, L. (2015). Dynamic capabilities, innovation and organizational learning: Interrelations and impact on firm performance. Procedia - Social and Behavioral Sciences, 213, 985-991. https://doi.org/ 10.1016/j.sbspro.2015.11.515

34. Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge manage ment: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185-214. https://doi.org/10.1080/07421222.2 001.11045669

35. Gopalakrishnan, S., & Bierly, P. E. (2006). The impact of firm size and age on knowledge strategies during product development: A study of the drug delivery industry. IEEE Transactions on Engineering Management, 53(1), 3-16. https://doi.org/10.1109/TEM.2005.861807

36. Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014a). Multi variate data analysis (Seventh). Pearson Education.

37. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2014b). A primer on partial least squares structural equation modeling (PLS-SEM). SAGE Publications, Inc.

38. Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). SAGE Publications Inc.

39. Hannan, M. T., & Freeman, J. (1984). Structural Inertia and Organiza tional Change. American Sociological Review, 49(2), 149-164. http:// links.jstor.org/sici?sici=0003-1224%28198404%2949%3A2%3C149%3 ASIAOC%3E2.0.CO%3B2-R

40. Hawass, H. H. (2010). Exploring the determinants of the reconfiguration capa bility: A dynamic capability perspective. European Journal of Innovation Management, 13(4), 409-438. https://doi.org/10.1108/14601061011086276

41. Henseler, J., & Chin, W. W. (2010). A comparison of approaches for the analysis of interaction effects between latent variables using partial least squares path modeling. Structural Equation Modeling, 17(19), 82-109. https://doi.org/10.1080/10705510903439003

42. Henseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopou los, A., Straub, D. W., Ketchen, D. J., Hair, J. F., Hult, G. T. M., & Calan tone, R. J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013). Organizational Research Methods, 17(2), 182-209. https://doi.org/10.1177/1094428114526928

43. Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115-135. https://doi.org/10.1007/s11747-014-0403-8

44. Hernández-Perlines, F., Ariza-Montes, A., Han, H., & Law, R. (2019). Innovative capacity, quality certification and performance in the hotel sector. International Journal of Hospitality Management, 82(November 2018), 220-230. https://doi.org/10.1016/j.ijhm.2019.04.027

45. Herrera Riveros, L. K., & Cuevas Vargas, H. (2023). Capacidad de absor ción de conocimiento en empresas prestadoras de servicios: el impacto de la madurez de la empresa. En C. E. Romo Bacco, N. Parga Montoya, J. E. Vega Martínez, & H. A. Cortes Palacios (Eds.), Contexto y valor: perspec tiva de la empresa (pp. 29-56). Universidad Autónoma de Aguascalientes.

46. Hill, C. W. L., & Rothaermel, F. T. (2003). The performance of incumbent f irms in the face of radical technological innovation. Academy of Manage ment Review, 28(2), 257-274. https://doi.org/10.5465/AMR.2003.9416161

47. Hu, L., & Bentler, P. M. (1998). Fit indices in covariance structure model ing: Sensitivity to underparameterized model misspecification. Psycholog ical Methods, 3(4), 424-453. https://doi.org/10.1037//1082-989x.3.4.424

48. Hu, P., Hao, Y., & Wang, G. (2022). How does capability reconfigura tion impact the innovation performance of Chinese manufacturing firms? Frontiers in Psychology, 13(July), 1-18. https://doi.org/10.3389/fpsyg. 2022.966653

49. Hu, P., Wang, Y., Feng, T., & Duan, Y. (2021). Innovative search, capa bility reconfiguration and firm innovation performance in the process of technological leapfrogging. Chinese Management Studies, 15(5), 961 984. https://doi.org/10.1108/CMS-02-2020-0051

50. Isobe, T., Makino, S., & Montgomery, D. B. (2008). Technological capa bilities and firm performance: The case of small manufacturing firms in Japan. Asia Pacific Journal of Management, 25, 413-428. https://doi.org/ 10.1007/s10490-008-9098-z

51. Kenny, D. A. (2018). Moderator variables. https://davidakenny.net/cm/ moderation.htm#GO

52. Khan, O., Daddi, T., & Iraldo, F. (2020). Microfoundations of dynamic capabilities: Insights from circular economy business cases. Business Strategy and the Environment, 29(3), 1479-1493. https://doi.org/10.1002/ bse.2447

53. Kline, R. B. (2011). Principles and practice of structural equation model ing. Guilford publications.

54. Kock, N. (2015). Common method bias in PLS-SEM: A full collinear ity assessment approach. International Journal of E-Collaboration, 11(4), 1-10. https://doi.org/10.4018/ijec.2015100101

55. Koster, F. (2023). The organisation’s size-innovation performance rela tionship: The role of human resource development mechanisms. Journal of Information & Knowledge Management, 22(2), 2350018. https://doi. org/10.1142/S0219649223500181

56. Kump, B., Engelmann, A., Kessler, A., & Schweiger, C. (2019). Toward a dynamic capabilities scale: Measuring organizational sensing, seizing, and transforming capacities. Industrial and Corporate Change, 28(5), 1149-1172. https://doi.org/10.1093/icc/dty054

57. Kurtmollaiev, S. (2020). Dynamic capabilities and where to find them. Journal of Management Inquiry, 29(1), 3-16. https://doi.org/10.1177/10- 56492617730126

58. Laforet, S. (2013). Innovation in small family businesses. Edward Elgar Publishing. https://doi.org/10.4337/9781781004180

59. Lane, P. J., & Lubatkin, M. (1998). Relative absorptive capacity and inter organizational learning. Strategic Management Journal, 19(5), 461-477. https://doi.org/10.1002/(sici)1097-0266(199805)19:5 3.3.co;2-c

60. Lawson, B., & Samson, D. (2001). Developing innovation capability in organizations: A dynamic capabilities approach. International Journal of Innovation Management, 5(3), 377-400. https://doi.org/10.1142/S136391- 9601000427

61. Leal-Rodríguez, A. L., Eldridge, S., Roldán, J. L., Leal-Millán, A. G., & Ortega-Gutiérrez, J. (2015). Organizational unlearning, innovation outcomes, and performance: The moderating effect of firm size. Journal of Business Research, 68(4), 803-809. https://doi.org/10.1016/j.jbusres.2014.11.032

62. Ledesma Zavala, A. G., Lozano García, J. J., Morales García, R., & Cue vas Vargas, H. (2023). El impacto de la gestión del conocimiento en el rendimiento empresarial de las micro y pequeñas empresas colombianas. En N. Parga Montoya, J. E. Vega Martínez, C. E. Romo Bacco, & M. A. García Vidales (Eds.), Estrategias para la competitividad empresarial (pp. 13-32). Universidad Autónoma de Aguascalientes.

63. Lohmöller, J. B. (1989). Latent variable path modeling with partial least squares. Physica.

64. Lopez, E., Flecha-Ortiz, J. A., Santos-Corrada, M., & Dones, V. (2024). The role of organizational resilience in SME service innovation and value cocreation. Journal of Services Marketing, 38(4), 443-459. https://doi. org/10.1108/JSM-03-2023-0081

65. Makkonen, H., Pohjola, M., Olkkonen, R., & Koponen, A. (2014). Dynamic capabilities and firm performance in a financial crisis. Journal of Busi ness Research, 67(1), 2707-2719. https://doi.org/10.1016/j.jbusres.2013. 03.020

66. Nelson, R. R., & Winter, S. G. (2009). An evolutionary theory of economic change. Harvard University Press.

67. Nieves, J., & Diaz-Meneses, G. (2016). Antecedents and outcomes of marketing innovation. An empirical analysis in the hotel industry. Inter national Journal of Contemporary Hospitality Management, 28(8), 1554 1576. https://doi.org/10.1108/IJCHM-11-2014-0589

68. Nieves, J., Quintana, A., & Osorio, J. (2016). Organizational knowledge, dynamic capabilities and innovation in the hotel industry. Tourism and Hospi tality Research, 16(2), 158-171. https://doi.org/10.1177/1467358415600208

69. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.

70. Ovuakporie, O. D., Pillai, K. G., Wang, C., & Wei, Y. (2021). Differen tial moderating effects of strategic and operational reconfiguration on the relationship between open innovation practices and innovation perfor mance. Research Policy, 50(1), 104146. https://doi.org/10.1016/j.respol. 2020.104146

71. Pascual-Fernández, P., Santos-Vijande, M. L., López-Sánchez, J. Á., & Molina, A. (2021). Key drivers of innovation capability in hotels: Impli cations on performance. International Journal of Hospitality Manage ment, 94, 102825. https://doi.org/10.1016/j.ijhm.2020.102825

72. Pattanasing, K., Aujirapongpan, S., & Srimai, S. (2019). Dynamic capa bilities and high performance organization of hotel business: Empirical investigation into world class tourism destination. Tourism and Hospi tality Management, 25(2), 377-401. https://doi.org/10.20867/thm.25.2.8

73. Pereira-Moliner, J., Molina-Azorín, J. F., Tari, J. J., López-Gamero, M. D., & Pertursa-Ortega, E. M. (2021). How do dynamic capabilities explain hotel performance? International Journal of Hospitality Management, 98, 103023. https://doi.org/10.1016/j.ijhm.2021.103023

74. Petruzzelli, A. M., Ardito, L., & Savino, T. (2018). Maturity of knowl edge inputs and innovation value: The moderating effect of firm age and size. Journal of Business Research, 86(May), 190-201. https://doi. org/10.1016/j.jbusres.2018.02.009

75. Podsakoff, P. M., MacKenzie, S. B., & Podsakoff, N. P. (2012). Sources of method bias in social science research and recommendations on how to control it. Annual Review of Psychology, 63, 539-569. https://doi.org/ 10.1146/annurev-psych-120710-100452

76. Podsakoff, P. M., & Organ, D. W. (1986). Self-reports in organizational research: Problems and prospects. Journal of Management, 12(4), 531 544. https://doi.org/10.1177/014920638601200408

77. Reyes-Santiago, M. del R., Sánchez-Medina, P. S., & Díaz-Pichardo, R. (2019). The influence of environmental dynamic capabilities on organiza tional and environmental performance of hotels: Evidence from Mexico. Journal of Cleaner Production, 227, 414-423. https://doi.org/10.1016/j. jclepro.2019.04.245

78. Ringle, C. M., Sarstedt, M., & Straub, D. W. (2012). Editor’s comments: A critical look at the use of PLS-SEM in MIS Quarterly. MIS Quarterly, 36(1), iii-xiv. https://doi.org/10.2307/41410402

79. Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3 [software]. SmartPLS GmbH. http://www.smartpls.com

80. Schreyögg, G., & Kliesch-Eberl, M. (2007). How dynamic can organiza tional capabilities be? Towards a dual-process model of capability dynam ization. Strategic Management Journal, 28(9), 913-933. https://doi.org/ 10.1002/smj.613

81. Segars, A. H., & Grover, V. (1993). Re-examining perceived ease of use and usefulness: A confirmatory factor analysis. MIS Quarterly: Manage ment Information Systems, 17(4), 517-525. https://doi.org/10.2307/249590

82. Shmueli, G., Ray, S., Velasquez Estrada, J. M., & Chatla, S. B. (2016). The elephant in the room: Predictive performance of PLS models. Jour nal of Business Research, 69(10), 4552-4564. https://doi.org/10.1016/j. jbusres.2016.03.049

83. Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322-2347. https://doi.org/10.1108/EJM-02-2019-0189

84. Stone, M. (1974). Cross-Validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society. Series B (Method ological), 36(2), 111-147. https://www.jstor.org/stable/2984809

85. Sunder, M. V., Ganesh, L. S., & Marathe, R. R. (2019). Dynamic capabili ties: A morphological analysis framework and agenda for future research. European Business Review, 31(1), 25-93. https://doi.org/10.1108/EBR- 03-2018-0060

86. Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of (sustainable) enterprise performance. Strategic Man agement Journal, 28(13), 1319-1350. https://doi.org/10.1002/smj.640

87. Teece, D. J. (2018). Business models and dynamic capabilities. Long Range Planning, 51(1), 40-49. https://doi.org/10.1016/j.lrp.2017.06.007

88. Teece, D. J., & Pisano, G. (1994). The dynamic capabilities of firms: An introduction. Industrial and Corporate Change, 3(3), 537-556. https://doi. org/10.1093/icc/3.3.537-a

89. Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strate gic management. Strategic Management Journal, 18(7), 509-533. https://doi. org/10.1002/(SICI)1097-0266(199708)18:73.0.CO;2-Z

90. Teo, T. S. H., Srivastava, S. C., & Jiang, L. (2008). Trust and electronic gov ernment success: An empirical study. Journal of Management Information Systems, 25(3), 99-132. https://doi.org/10.2753/MIS0742-1222250303

91. Thomas, R., & Wood, E. (2015). The absorptive capacity of tourism organisations. Annals of Tourism Research, 54, 84-99. https://www.scien cedirect.com/science/article/abs/pii/S0160738315000924?via%3Dihub

92. Valdez-Juárez, L. E., García-Pérez-De-Lema, D., & Maldonado-Guzmán, G. (2018). ICT and KM, drivers of innovation and profitability in SMEs. Journal of Information and Knowledge Management, 17(1), 1850007. https://doi.org/10.1142/S0219649218500077

93. Velázquez-Espinoza, N. (2017). Análisis de capacidades de innovación de una empresa de autopartes. En A. Martínez Martínez & J. Carrillo Viveros (Eds.), Innovación, redes de colaboración y sostenibilidad. Experiencias regionales y tendencias internacionales de la industria automotriz (pp. 169-190). AM Editores.

94. Velázquez-Espinoza, N., & Colín-Salgado, M. (2019). Capacidades de inno vación. En A. Boada Ortíz, M. Colín Salgado, & N. Velázquez Espinoza (Eds.), Gerencia de la innovación empresarial (1st ed., pp. 259-287). Uni versidad Externado de Colombia. https://doi.org/10.2307/j.ctv1k03s10.11

95. Vu, H. M. (2020). A review of dynamic capabilities, innovation capabili ties, entrepreneurial capabilities and their consequences. Journal of Asian Finance, Economics and Business, 7(8), 485-494. https://doi.org/10.13106/ jafeb.2020.vol7.no8.485

96. Wernerfelt, B. (1984). A Resource-based view of the firm. Strategic Man agement Journal, 5(2), 171-180. https://www.jstor.org/stable/2486175

97. Wetzels, M., Odekerken-Schröder, G., & van Oppen, C. (2009). Using PLS path modeling for assessing hierarchical construct models: Guide lines and empirical illustration. MIS Quarterly, 33(1), 177-195. https:// doi.org/10.2307/20650284

98. Xiao, H., Yang, Z., & Hu, Y. (2021). Influencing mechanism of strate gic flexibility on corporate performance: The mediating role of busi ness model innovation. Asia Pacific Business Review, 27(3), 470-492. https://doi.org/10.1080/13602381.2021.1896256

99. Yaulilahua-Huacho, R., & Almenaba-Guerrero, Y. F. (2022). Liderazgo y cultura organizacional: influencias en la productividad en Ecuador. Revista Científica Zambos, 1(3), 29-43. https://doi.org/10.69484/rcz/v1/n3/31

100. Zahra, S. A., Sapienza, H. J., & Davidsson, P. (2006). Entrepreneurship and dynamic capabilities: A review, model and research agenda. Jour nal of Management Studies, 43(4), 917-955. https://doi.org/10.1111/j. 1467-6486.2006.00616.x

101. Zhou, K. Z., & Li, C. B. (2010). How strategic orientations influence the building of dynamic capability in emerging economies. Journal of Business Research, 63(3), 224-231. https://doi.org/10.1016/j.jbusres.2009.03.003

102. Zhou, S. S., Zhou, A. J., Feng, J., & Jiang, S. (2019). Dynamic capabil ities and organizational performance: The mediating role of innovation. Journal of Management and Organization, 25(5), 731-747. https://doi. org/10.1017/jmo.2017.20

Cómo citar

APA

Cuevas-Vargas, H., Martínez Campo, J. L. & Velázquez-Espinoza , N. (2026). Relación entre capacidad de reconfiguración y capacidad de innovación: una aplicación en el sector hotelero. Cuadernos de Economía, 45(97), 41–72. https://doi.org/10.15446/cuad.econ.v45n97.107954

ACM

[1]
Cuevas-Vargas, H., Martínez Campo, J.L. y Velázquez-Espinoza , N. 2026. Relación entre capacidad de reconfiguración y capacidad de innovación: una aplicación en el sector hotelero. Cuadernos de Economía. 45, 97 (abr. 2026), 41–72. DOI:https://doi.org/10.15446/cuad.econ.v45n97.107954.

ACS

(1)
Cuevas-Vargas, H.; Martínez Campo, J. L.; Velázquez-Espinoza , N. Relación entre capacidad de reconfiguración y capacidad de innovación: una aplicación en el sector hotelero. Cuad. econ 2026, 45, 41-72.

ABNT

CUEVAS-VARGAS, H.; MARTÍNEZ CAMPO, J. L.; VELÁZQUEZ-ESPINOZA , N. Relación entre capacidad de reconfiguración y capacidad de innovación: una aplicación en el sector hotelero. Cuadernos de Economía, [S. l.], v. 45, n. 97, p. 41–72, 2026. DOI: 10.15446/cuad.econ.v45n97.107954. Disponível em: https://revistas.unal.edu.co/index.php/ceconomia/article/view/107954. Acesso em: 9 abr. 2026.

Chicago

Cuevas-Vargas, Héctor, José Luis Martínez Campo, y Noé Velázquez-Espinoza. 2026. «Relación entre capacidad de reconfiguración y capacidad de innovación: una aplicación en el sector hotelero». Cuadernos De Economía 45 (97):41-72. https://doi.org/10.15446/cuad.econ.v45n97.107954.

Harvard

Cuevas-Vargas, H., Martínez Campo, J. L. y Velázquez-Espinoza , N. (2026) «Relación entre capacidad de reconfiguración y capacidad de innovación: una aplicación en el sector hotelero», Cuadernos de Economía, 45(97), pp. 41–72. doi: 10.15446/cuad.econ.v45n97.107954.

IEEE

[1]
H. Cuevas-Vargas, J. L. Martínez Campo, y N. Velázquez-Espinoza, «Relación entre capacidad de reconfiguración y capacidad de innovación: una aplicación en el sector hotelero», Cuad. econ, vol. 45, n.º 97, pp. 41–72, abr. 2026.

MLA

Cuevas-Vargas, H., J. L. Martínez Campo, y N. Velázquez-Espinoza. «Relación entre capacidad de reconfiguración y capacidad de innovación: una aplicación en el sector hotelero». Cuadernos de Economía, vol. 45, n.º 97, abril de 2026, pp. 41-72, doi:10.15446/cuad.econ.v45n97.107954.

Turabian

Cuevas-Vargas, Héctor, José Luis Martínez Campo, y Noé Velázquez-Espinoza. «Relación entre capacidad de reconfiguración y capacidad de innovación: una aplicación en el sector hotelero». Cuadernos de Economía 45, no. 97 (abril 5, 2026): 41–72. Accedido abril 9, 2026. https://revistas.unal.edu.co/index.php/ceconomia/article/view/107954.

Vancouver

1.
Cuevas-Vargas H, Martínez Campo JL, Velázquez-Espinoza N. Relación entre capacidad de reconfiguración y capacidad de innovación: una aplicación en el sector hotelero. Cuad. econ [Internet]. 5 de abril de 2026 [citado 9 de abril de 2026];45(97):41-72. Disponible en: https://revistas.unal.edu.co/index.php/ceconomia/article/view/107954

Descargar cita

CrossRef Cited-by

CrossRef citations0

Dimensions

PlumX

Visitas a la página del resumen del artículo

26

Descargas

Los datos de descargas todavía no están disponibles.

Licencia

Derechos de autor 2026 Cuadernos de Economía

Creative Commons License

Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-SinDerivadas 4.0.

Cuadernos de Economía a través de la División de Bibliotecas de la Universidad Nacional de Colombia promueve y garantiza el acceso abierto de todos sus contenidos. Los artículos publicados por la revista se encuentran disponibles globalmente con acceso abierto y licenciados bajo los términos de Creative Commons Atribución-No_Comercial-Sin_Derivadas 4.0 Internacional (CC BY-NC-ND 4.0), lo que implica lo siguiente: