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Resumen
El objetivo de esta investigación es determinar si la capacidad de absorción de conocimiento (ACAP) afecta la innovación frugal de las pymes manufactureras mexicanas, así como conocer el nivel de desempeño que presentan en ambas variables. Para recolectar los datos se utilizó un cuestionario tipo encuesta, que se aplicó de manera aleatoria a una muestra de 249 pequeñas y medianas empresas (pymes), empleado un nivel de confianza del 95% y un margen de error del 6%. La encuesta fue respondida por 200 gerentes o dueños de pymes manufactureras en el estado de Guanajuato, México. Los resultados obtenidos a través de los modelos de ecuaciones estructurales por mínimos cuadrados parciales (PLS-SEM) indican que la ACAP tiene una fuerte influencia positiva y significativa en la innovación frugal. Asimismo, se identificó que este tipo de empresas manufactureras tienen un bajo nivel de desempeño de ACAP y de innovación frugal, por lo que es fundamental que los tomadores de decisiones focalicen sus esfuerzos en la adquisición y explotación del conocimiento para mejorar sus niveles de ACAP y de innovación frugal.
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Agramunt, L. F., & Berbel-Pineda, J. M. (2018). The positive moderating effect of absorptive capacity on R&D investment: The case of Argentina’s ict firms. Anais da Academia Brasileira de Ciencias, 90(3), 3207-3221. https://doi.org/10.1590/0001-3765201820171036
Agramunt, L. F., Berbel-Pineda, J. M., Capobianco-Uriarte, M. M., & Casado-Belmonte, M. P. (2020). Review on the relationship of absorptive capacity with interorganizational networks and the internationalization process. Complexity, 2020. https://doi.org/10.1155/2020/7604579
Ahn, J. M., Ju, Y., Moon, T. H., Minshall, T., Probert, D., Sohn, S. Y., & Mortara, L. (2016). Beyond absorptive capacity in open innovation process: the relationships between openness, capacities and firm performance. Technology Analysis and Strategic Management, 28(9), 1009-1028. https://doi.org/10.1080/09537325.2016.1181737
Alkalha, Z., Reid, I., & Dehe, B. (2019). The role of absorptive capacity within supply chain quality integration. Supply Chain Management, 24(6), 805-820. https://doi.org/10.1108/SCM-10-2018-0375
Annala, L., Sarin, A., & Green, J. L. (2018). Co-production of frugal innovation: Case of low cost reverse osmosis water filters in India. Journal of Cleaner Production, 171(Supplement), S110-S118. https://doi.org/10.1016/j.jclepro.2016.07.065
Antoni, V. L., Hermes, L. C. R., Awad, R. S., & Manosso, T. W. S. (2018). Teoria de custos versus trocas relacionais na diferenciação da oferta de outsourcing. Revista Gestão Organizacional, 11(3). https://doi.org/10.22277/rgo.v11i3.4420
Bacon, E., Williams, M. D., & Davies, G. H. (2019). Recipes for success: Conditions for knowledge transfer across open innovation ecosystems. International Journal of Information Management, 49, 377-387. https://doi.org/10.1016/j.ijinfomgt.2019.07.012
Carvalho, E. G., & Sugano, J. Y. (2016). Entrepreneurial orientation and open innovation in brazilian startups: a multicase study. Interações (Campo Grande), 17(3), 448-462. https://doi.org/10.20435/1984-042x-2016-v.17-n.3(08)
Cassol, A., Zanesco, D., Barsalini Martins, C., & Marietto, M. L. (2019). Capacidade absortiva como moderadora da relação entre inovatividade organizacional e desempenho inovador de pequenas e médias empresas brasileiras. Interciencia, 44(1), 15-22.
Chen, H., & Xie, F. (2018). How technological proximity affect collaborative innovation? An empirical study of China’s Beijing–Tianjin–Hebei region. Journal of Management Analytics, 5(4), 287-308. https://doi.org/10.1080/23270012.2018.1478329
Chesbrough, H. (2006). Open innovation: a new paradigm for understanding industrial Innovation. Open Innovation: Researching a New Paradigm, 1-12.
Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295-358). Lawrence Erlbaum Associates Publishers.
Coccia, M. (2018). Classification of innovation considering technological interaction. Journal of Economics Bibliography, 5(2), 76-93. https://doi.org/10.1453/jeb.v5i2.1650
Cohen, J. (1992). A power primer. Psychological Bulletin, 112(1), 155-159. https://doi.org/10.1037/0033-2909.112.1.155
Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128-152. https://doi.org/10.2307/2393553
Cuevas-Vargas, H. (2016). La influencia de la innovación y la tecnología en la competitividad de las Pymes manufactureras del estado de Aguascalientes. Universidad Autónoma de Aguascalientes. https://bit.ly/3r8qiDW
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
Cuevas-Vargas, H., Cortés-Palacios, H. A., Leana-Morales, C., & Huerta-Mascotte, E. (2022b). Absorptive capacity and its dual effect on technological innovation: A structural equations model approach. Sustainability, 14(19), 12740. https://doi.org/10.3390/su141912740
Cuevas-Vargas, H., Cortés-Palacios, H. A., & Lozano-García, J. J. (2022c). Impact of capital structure and innovation on firm performance. Direct and indirect effects of capital structure. Procedia Computer Science, 199, 1082-1089. https://doi.org/10.1016/j.procs.2022.01.137
Cuevas-Vargas, H., & Parga-Montoya, N. (2022d). How ICT usage affect frugal innovation in Mexican small firms. The mediating role of entrepreneurial orientation. Procedia Computer Science, 199, 223-230. https://doi.org/10.1016/j.procs.2022.01.028
Cuevas-Vargas, H., Parga-Montoya, N., & Fernández-Escobedo, R. (2022e). The adoption of ICT as an enabler of frugal innovation to achieve customer satisfaction. The mediating effect of frugal innovation. Procedia Computer Science, 199, 198-206. https://doi.org/10.1016/j.procs.2022.01.025
Daragahi, G. A. (2017). Impact of innovation on customer satisfaction: A study of the Iranian cosmetics products users. Revista Venezolana de Gerencia, 22(78), 88-105. https://doi.org/10.31876/revista.v22i78.23561
De Paulo, A. F., Carvalho, L. C., Costa, M. T. G. V., Lopes, J. E. F., & Galina, S. V. R. (2017). Mapping open innovation: A bibliometric review to compare developed and emerging countries. Global Business Review, 18(2), 291-307. https://doi.org/10.1177/0972150916668600
Díaz-Pérez, C., & Alarcón-Osuna, M. A. (2018). Ciencia, tecnología e innovación en México: un análisis de la política pública. Cuadernos de Trabajo de Estudios Regionales en Economía, Población y Desarrollo, 8(47), 3-33. https://medium.com/@arifwicaksanaa/pengertian-use-case-a7e576e1b6bf
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
Dosi, C., Cocchi, N., & Vignoli, M. (2021, August 16-20). Ten transform emergency now! -Facing COVID 19 with open and frugal innovation. International Conference on Engineering Design (ICED21), Gothenburg, Sweden. https://doi.org/10.1017/pds.2021.558
Flatten, T. C., Engelen, A., Zahra, S. A., & Brettel,M. (2011). A measure of absorptive capacity: Scale development and validation. European Management Journal, 29(2), 98-116. https://doi.org/10.1016/j.emj.2010.11.002
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312
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
Gold, A. H., Malhotra, A., & Segars, A. H. (2001). Knowledge management: An organizational capabilities perspective. Journal of Management Information Systems, 18(1), 185-214. https://doi.org/10.1080/07421222.2001.11045669
Grant, R. M. (1996). Toward a knowledge-based theory of the firm. Strategic Management Journal, 17(Suppl. Winter), 109-122. https://doi.org/10.1002/smj.4250171110
Guimón, J., Cancino, C., López, A., & Miranda, J. (2019). Nuevos modos de conexión con redes globales de innovación: el caso de Chile. Perfiles Latinoamericanos, 27(54), 343-361. https://doi.org/10.18504/pl2754-009-2019
Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate Data Analysis (7th ed.). Pearson Education.
Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2017). A primer on partial least squares structural equation modeling (PLS-SEM) (2nd ed.). SAGE Publications, Inc.
Hair, J. F., Sarstedt, M., Ringle, C. M., & Gudergan, S. P. (2018). Advanced issues in Partial Least Squares Structural Equation Modeling (PLS-SEM). SAGE Publications, Inc.
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
Hossain, M. (2018). Frugal innovation: A review and research agenda. Journal of Cleaner Production, 182, 926-936. https://doi.org/10.1016/j.jclepro.2018.02.091
INEGI (2019). National Economic Units’ Statistical Directory. https://bit.ly/3r79yx1
Instituto Nacional de Estadística y Geografía (INEGI) (2020). Industria Manufacturera. https://www.inegi.org.mx/temas/manufacturas/
Jasimuddin, S. M., & Naqshbandi, M. M. (2019). Knowledge infrastructure capability, absorptive capacity and inbound open innovation: evidence from SMEs in France. Production Planning & Control, 30(10-12), 893-906. https://doi.org/10.1080/09537287.2019.1582097
Khan, M. K., Kaleem, A., Zulfiqar, S., & Akram, U. (2019). Innovation investment: Behaviour of Chinese firms towards financing sources. International Journal of Innovation Management, 23(7), 1-29. https://doi.org/10.1142/S1363919619500701
Kock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration, 11(4), 1-10. https://doi.org/10.4018/ijec.2015100101
Kohtamäki, M., Heimonen, J., Sjödin, D., & Heikkilä, V. (2020). Strategic agility in innovation: Unpacking the interaction between entrepreneurial orientation and absorptive capacity by using practice theory. Journal of Business Research, 118(June), 12-25. https://doi.org/10.1016/j.jbusres.2020.06.029
Kohtamäki, M., & Partanen, J. (2016). Co-creating value from knowledge-intensive business services in manufacturing firms: The moderating role of relationship learning in supplier-customer interactions. Journal of Business Research, 69(7), 2498-2506. https://doi.org/10.1016/j.jbusres.2016.02.019
Li, Y., Cui, V., & Liu, H. (2017). Dyadic specific investments, absorptive capacity, and manufacturers’ market knowledge acquisition: Evidence from manufacturer–distributor dyads. Journal of Business Research, 78, 323-331. https://doi.org/10.1016/j.jbusres.2016.12.028
Lim, C., & Fujimoto, T. (2019). Frugal innovation and design changes expanding the cost-performance frontier: A Schumpeterian approach. Research Policy, 48(4), 1016-1029. https://doi.org/10.1016/j.respol.2018.10.014
Liu, X., Zhao, X., & Zhao, H. (2018). Absorptive capacity and business performance: The mediating effects of innovation and mass customization. Industrial Management and Data Systems, 118(9), 1787-1803. https://doi.org/10.1108/IMDS-09-2017-0416
Lohmöller, J.-B. (1989). Latent variable path modeling with partial least squares. Physica.
Maldonado Guzmán, G., García Ramírez, R., Mata Zamores, S., & Castillo Esparza, M. M. (2021). Innovación abierta, crecimiento y rendimiento en la PYME de la industria automotriz de México. Telos Revista de Estudios Interdisciplinarios en Ciencias Sociales, 23(1), 85-99. https://doi.org/10.36390/telos231.07
Melkas, H., Oikarinen, T., & Pekkarinen, S. (2019). Understanding frugal innovation: a case study of university professionals in developed countries. Innovation and Development, 9(1), 25-40. https://doi.org/10.1080/2157930X.2018.1437687
Müller, J. M., Buliga, O., & Voigt, K.-I. (2021). The role of absorptive capacity and innovation strategy in the design of industry 4.0 business Models - A comparison between SMEs and large enterprises. European Management Journal, 39(3), 333-343. https://doi.org/10.1016/j.emj.2020.01.002
Naqshbandi, M. M., & Kamel, Y. (2017). Intervening role of realized absorptive capacity in organizational culture-open innovation relationship: Evidence from an emerging market. Journal of General Management, 42(3), 5-20. https://doi.org/10.1177/0306307016687984
Niroumand, M., Shahin, A., Naghsh, A., & Peikari, H. R. (2020). Frugal innovation enablers: a comprehensive framework. International Journal of Innovation Science, 12(1), 1-20. https://doi.org/10.1108/IJIS-10-2019-0099
Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
Patel, P. C., Kohtamäki, M., Parida, V., & Wincent, J. (2015). Entrepreneurial orientation-as-experimentation and firm performance: The enabling role of absorptive capacity. Strategic Management Journal, 36(11), 1739-1749. https://doi.org/10.1002/smj.2310
Perera, R. L., & Badir, Y. F. (2020, December). Proposing managerial implications from the concept of frugal innovation to overcome the challenges facing manufacturing firms due to COVID-19. The 4th International Conference on Nation-Building - NationBuilding In The Pandemic New Normal, Ladkrabang Bangkok, Thailand.
Phene, A., Tallman, S., & Almeida, P. (2012). When do acquisitions facilitate technological exploration and exploitation? Journal of Management, 38(3), 753-783. https://doi.org/10.1177/0149206310369939
Pietrobelli, C., Marin, A., & Olivari, J. (2018). Innovation in mining value chains: New evidence from Latin America. Resources Policy, 58(May), 1-10. https://doi.org/10.1016/j.resourpol.2018.05.010
Pisoni, A., Michelini, L., & Martignoni, G. (2018). Frugal approach to innovation: State of the art and future perspectives. Journal of Cleaner Production, 171, 107-126. https://doi.org/10.1016/j.jclepro.2017.09.248
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
Porter, M. E., & Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard Business Review, (November).
Radjou, N., Prabhu, J., Ahuja, S., & Roberts, K. (2012). Jugaad innovation: Think frugal, be flexible, generate breakthrough growth. John Wiley & Sons, Inc.
Ramana Nanda, M. R.-K. (2016). Management science. Applied System Innovation, (March), 863-863. https://doi.org/10.1201/b21811-171
Ramayah, T., Soto-Acosta, P., Kheng, K. K., & Mahmud, I. (2020). Developing process and product innovation through internal and external knowledge sources in manufacturing Malaysian firms: the role of absorptive capacity. Business Process Management Journal, 26(5), 1021-1039. https://doi.org/10.1108/BPMJ-11-2019-0453
Ringle, C. M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The Importance-Performance Map Analysis. Industrial Management & Data Systems, 116(9), 1865-1886. https://doi.org/10.1108/imds-10-2015-0449
Ringle, C. M., Wende, S., & Becker, J.-M. (2015). SmartPLS 3. SmartPLS GmbH. http://www.smartpls.com
Rodríguez-Ardura, I., & Meseguer-Artola, A. (2020). Editorial: How to prevent, detect and control common method variance in electronic commerce research. Journal of Theoretical and Applied Electronic Commerce Research, 15(2), I-V. https://doi.org/10.4067/S0718-18762020000200101
Roldán, J. L., & Sánchez-Franco, M. J. (2012). Variance-based structural equation modeling: Guidelines for using partial least squares in information systems research. In M. Mora, O. Gelman, A. L. Steenkamp, & M. Raisinghani (Eds.), Resaerch methodologies, innovations and philosophies in software systems research (pp. 193-221). IGI Global. https://doi.org/10.4018/978-1-4666-0179-6.ch010
Rosca, E., Arnold, M., & Bendul, J. C. (2017). Business models for sustainable innovation - An empirical analysis of frugal products and services. Journal of Cleaner Production, 162, Suppl, S133-S145. https://doi.org/10.1016/j.jclepro.2016.02.050
Rossetto, D. E., Borini, F. M., Bernardes, R. C., & Frankwick, G. L. (2017). A new scale for measuring Frugal Innovation: The first stage of development of a measurement tool. VI SINGEP – International Symposium on Project Management, Innovation, and Sustainability, 6, São Paulo-SP-Brasil: Anais do VI SINGEP.
Santoro, G., Ferraris, A., Giacosa, E., & Giovando, G. (2018). How SMEs engage in open innovation: A survey. Journal of the Knowledge Economy, 9(2), 561-574. https://doi.org/10.1007/s13132-015-0350-8
Schueffel, P. (2015). The effects of entrepreneurial orientation on innovation performance, open innovation proclivity, and openness. Academy of Management AnnualConference 2014.
Soni, P., & Krishnan, R. T. (2014). Frugal innovation: Aligning theory, practice, and public policy. Journal of Indian Business Research, 6(1), 29-47. https://doi.org/10.1108/JIBR-03-2013-0025
Stiglitz, J. E. (1974). On the irrelevance of corporate financial policy. American Economic Review, 64(6), 851-866.
Stone, M. (1974). Cross-validatory choice and assessment of statistical predictions. Journal of the Royal Statistical Society. Series B (Methodological), 36(2), 111-147. https://www.jstor.org/stable/2984809
Stott, N., & Tracey, P. (2018). Organizing and innovating in poor places. Innovation: Organization & Management, 20(1), 1-17. https://doi.org/10.1080/14479338.2017.1358093
Taran, Y., Boer, H., & Lindgren, P. (2015). A business model innovation typology. Decision Sciences, 46(2), 301-331. https://doi.org/10.1111/deci.12128
Tiwari, R., Fischer, L., & Kalogerakis, K. (2016). Frugal innovation in scholarly and social discourse : An assessment of trends and potential societal implications. https://doi.org/10.15480/882.1288
Todorova, G., & Durisin, B. (2007). Absorptive capacity: Valuing a reconceptualization. Academy of Management Review, 32(3), 774-786. https://doi.org/doi:10.5465/amr.2007.25275513
Uribe-Gómez, J. A. (2019). Una perspectiva de la innovación tecnológica en Latinoamérica. Trilogía Ciencia Tecnología Sociedad, 11(20), 101-125. https://doi.org/10.22430/21457778.1214
Vesci, M., Feola, R., Parente, R., & Radjou, N. (2021). How to save the world during a pandemic event. A case study of frugal innovation. R & D Management, 51(4), 352-363. https://doi.org/10.1111/radm.12459
Volberda, H. W., Foss, N. J., & Lyles, M. A. (2010). Absorbing the concept of absorptive capacity: How to realize its potential in the organization field. Organization Science, 21(4), 931-951. https://doi.org/10.1287/orsc.1090.0503
Von Janda, S., Kuester, S., Schuhmacher, M. C., & Shainesh, G. (2020). What frugal products are and why they matter: A cross-national multi-method study. Journal of Cleaner Production, 246(February 2020), 118977. https://doi.org/10.1016/j.jclepro.2019.118977