Analyzing the Medium-Low and Low- Technology Firms’ Innovative Behavior in an Emerging Economy
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Revista Perspectiva Empresarial - 2021
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Analyzing the Medium-Low and Low- Technology Firms’ Innovative Behavior in an Emerging Economy 8 Revista Perspectiva Empresarial Artículo de revista Núm. 1 , Año 2021 : enero-junio 1 Sabaneta: Fundación Universitaria Ceipa, 2014- Soria Gómez, Eduardo Javier Miralles, Francesc Del Carpio Gallegos, Javier Fernando Potters, L. (2009). Innovation input and output: differences among sectors. IPTS Working Paper on Corporate R&D and Innovation, 10, 2-38. Pérez, J.A.H. et al. (2018). New approach to the nnovation process in emerging economies: The manufacturing sector case in Chile and Peru. Technovation, 79, 35-55. https://doi.org/10.1016/j.technovation.2018.02.012 Matthews, L. (2017). Applying multigroup analysis in PLS-SEM: A step-by-step process. In Latan, H. and Noonan, R. (Eds.), Partial Least Squares Path Modeling (pp. 219-243). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-64069-3_10 Ramírez, M.S. and García-Peñalvo, F.J. (2018). Cocreation and open innovation: Systematic literature review. Communicate, 26(54), 9-18. https://doi.org/10.3916/C54-2018-01 Mothe, C. and Uyen, N.T.T. (2012). The impact of nontechnological on technological innovations: do services differ from manufacturing? An empirical analysis of Luxembourg firms. International Journal of Technology Management, 57(4), 227-244. https://doi.org/10.1504/IJTM.2012.045544 Min, W.Z., Ling, K.C. and Tan, P.H. (2016). The effects of technological innovation, organizational innovation and absorptive capacity on product innovation: a structural equation modeling approach. Asian Social Science, 12(1), 199-222. https://doi.org/10.5539/ass.v12n1p199 Rangus, K. and Slavec, A. (2017). The interplay of decentralization, employee involvement and absorptive capacity on firms' innovation and business performance. Technological Forecasting and Social Change, 120, 195-203. https://doi.org/10.1016/j.techfore.2016.12.017 Olavarrieta, S. and Villena, M.G. (2014). Innovation and business research in Latin America: An overview. Journal of Business Research, 67(4), 489-497. https://doi.org/10.1016/j.jbusres.2013.11.005 Hervas-Oliver, J.L., Garrigos, J.A. and Gil-Pechuan, I. (2011). Making sense of innovation by R&D and non-R&D innovators in low technology contexts: A forgotten lesson for policymakers. Technovation, 31(9), 427-446.https://doi.org/10.1016/j.technovation.2011.06.006 Liao, S.H. and Wu, C.C. (2010). System perspective of knowledge management, organizational learning, and organizational innovation. Expert Systems with Applications, 37(2), 1096-1103. https://doi.org/10.1016/j.eswa.2009.06.109 Laursen, K. and Salter, A. (2006). Open for innovation: the role of openness in explaining innovation performance among UK manufacturing firms. Strategic Management Journal, 27(2), 131-150. https://doi.org/10.1002/smj.507 Kim, D.J. and Kogut, B. (1996). Technological platforms and diversification. Organization Science, 7(3), 283-301. https://doi.org/10.1287/orsc.7.3.283 Jansen, J., Van Den Bosch, F. And Volberda, H. (2006). Exploratory innovation, exploitative innovation, and performance: Effects of organizational antecedents and environmental moderators. Management Science, 52(11), 1661-1674. https://doi.org/10.1287/mnsc.1060.0576 Santamaría, L., Nieto, M.J. and Barge-Gil, A. (2009). Beyond formal R&D: Taking advantage of other sources of innovation in low-and mediumtechnology industries. Research Policy, 38(3), 507-517. https://doi.org/10.1016/j.respol.2008.10.004 Heredia, J. et al. (2017). Effects of informal competition on innovation performance: the case of pacific alliance. Journal of Technology Management & Innovation, 12(4), 22-28. https://doi.org/10.4067/S0718-27242017000400003 Henseler, J., Ringle, C.M. and 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 Heidenreich, M. (2009). Innovation patterns and location of European low-and mediumtechnology industries. Research Policy, 38(3), 483-494. https://doi.org/10.1016/j.respol.2008.10.005 Hair Jr, J.F. et al. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121. https://doi.org/10.1108/EBR-10-2013-0128 Gunday, G. et al. (2011). Effects of innovation types on firm performance. International Journal of Production Economics, 133(2), 662-676. https://doi.org/10.1016/j.ijpe.2011.05.014 Gronum, S., Verreynne, M.L. and Kastelle, T. (2012). The role of networks in small and medium‐sized enterprise innovation and firm performance. Journal of Small Business Management, 50(2), 257-282. https://doi.org/10.1111/j.1540-627X.2012.00353.x Riverola, C. and Miralles, F. (2016). How do opportunity-based entrepreneurs network through social media. In ACERE Conference, Australian Centre for Entrepreneurship Research Exchange, Bond University, Queensland, Australia. Salas, W.G.V. and Deng, Z. (2017). High ownership concentration and exporting of emerging market firms: evidence from Peru. Frontiers of Business Research in China, 11(1), 17-35. https://doi.org/10.1186/s11782-017-0018-2 Scott, G.J. and Chaston, I. (2012). Culture and innovation in Peru from a management perspective. Journal of Global Initiatives, 7(2), 131-145. https://doi.org/10.7835/ccwp-2012-09-0010 Schmidt, T. and Rammer, C. (2006). The determinants and effects of technological and non technological innovations-Evidence from the German CIS IV. Mannheim, Germany: Zentrum für Europäische Wirtschaftsforschung. https://doi.org/10.2139/ssrn.1010301 Wang, C. and Han, Y. (2011). Linking properties of knowledge with innovation performance: the moderate role of absorptive capacity. Journal of Knowledge Management, 15(5), 802-819. https://doi.org/10.1108/13673271111174339 Text http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess http://purl.org/coar/version/c_970fb48d4fbd8a85 info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:eu-repo/semantics/article Zuniga, P. and Crespi, G. (2013). Innovation strategies and employment in Latin American firms. Structural Change and Economic Dynamics, 24, 1-17. https://doi.org/10.1016/j.strueco.2012.11.001 Volberda, H.W., Foss, N.J. and Lyles, M.A. (2010). Perspective-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 Schmidt, T. and Rammer, C. (2007). Nontechnological and technological innovation: strange bedfellows? Working paper that can be obtained from. Centre for European Economic Research Discussion Paper, 07(052), 2-45. https://doi.org/10.2139/ssrn.1010301 Urbancova, H. (2013). Competitive advantage achievement through innovation and knowledge. Journal of Competitiveness, 5(1), 82-96. https://doi.org/10.7441/joc.2013.01.06 Tortoriello, M. (2015). The social underpinnings of absorptive capacity: The moderating effects of structural holes on innovation generation based on external knowledge. Strategic Management Journal, 36(4), 586-597. https://doi.org/10.1002/smj.2228 Thornhill, S. (2006). Knowledge, innovation and firm performance in high-and low-technology regimes. Journal of Business Venturing, 21(5), 687-703. https://doi.org/10.1016/j.jbusvent.2005.06.001 Tenenhaus, M. et al. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159-205. https://doi.org/10.1016/j.csda.2004.03.005 Tello, M.D. (2017). Innovation and productivity in services and manufacturing firms: the case of Peru. CEPAL Review, 121, 69-86. https://doi.org/10.18356/a4c7eea5-en Sun, P.-T. and Anderson, M. (2010). An examination of the relationship between absorptive capacity and organizational learning, and a proposed integration. International Journal of Management Review, 12(2), 130-150. https://doi.org/10.1111/j.1468-2370.2008.00256.x Frank, A.G. et al. (2016). The effect of innovation activities on innovation outputs in the Brazilian industry: Market-orientation vs. technologyacquisition strategies. Research Policy, 45(3), 577-592. https://doi.org/10.1016/j.respol.2015.11.011 Sciascia, S. et al. (2014). Entrepreneurial Orientation in low-and medium-tech industries: The need for Absorptive Capacity to increase performance. European Management Journal, 32(5), 761-769. https://doi.org/10.1016/j.emj.2013.12.007 Schoenmakers, W. and Duysters, G. (2006). Learning in strategic technology alliances. Technology Analysis & Strategic Management, 18(2), 245- 264. https://doi.org/10.1080/09537320600624162 Geldes, C., Felzensztein, C. and Palacios-Fenech, J. (2017). Technological and non-technological innovations, performance and propensity to innovate across industries: The case of an emerging economy. Industrial Marketing Management, 61, 55-66. https://doi.org/10.1016/j.indmarman.2016.10.010 Del Carpio, J.F. and Miralles, F. (2018). Absorptive capacity and innovation in low-tech companies in emerging economies. Journal of Technology Management & Innovation, 13(2), 3-11. https://doi.org/10.4067/S0718-27242018000200003 Fornell, C. and 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/10.1177/002224378101800104 text/html Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0. Fernhaber, S.A. and Patel, P.C. (2012). How do young firms manage product portfolio complexity? The role of absorptive capacity and ambidexterity. Strategic Management Journal, 33(13), 1516-1539. https://doi.org/10.1002/smj.1994 https://creativecommons.org/licenses/by-nc-sa/4.0 Inglés https://revistas.ceipa.edu.co/index.php/perspectiva-empresarial/article/view/683 text/xml application/pdf Ahuja, G. and Katila, R. (2001). Technological acquisitions and the innovation performance of acquiring firms: A longitudinal study. Strategic Management Journal, 22(3), 197-220. https://doi.org/10.1002/smj.157 Journal article Peru. technological change industry Innovation behavior Objective. Design a model that shows what factors favor the development of technological innovation in manufacturing companies of medium-low and low technological intensity. Methodology. A sample of 1106 manufacturing companies that participated in the innovation surveys in 2012 and 2015 was used, applying the partial structural equations approach and estimating the invariance between the two groups. Results. The results of this study from the structural model, which allow obtaining the positive and statistically significant coefficients, which allow empirically validating the hypotheses. Conclusions. It was evidenced that non-technological innovation, absorption capacity and technologicalacquisition favor technological innovation in companies with low technological intensity.This article confirms that manufacturing companies should guide efforts to improve their capacity for innovation. Ahlstrom, D. (2010). Innovation and growth: How Management Perspectives, 24(3), 11-24. https://doi.org/10.5465/amp.24.3.11 Revista Perspectiva Empresarial - 2021 Ali, M. and Park, K. (2016). The mediating role of an innovative culture in the relationship between absorptive capacity and technical and non-technical innovation. Journal of Business Research, 69(5), 1669-1675. https://doi.org/10.1016/j.jbusres.2015.10.036 Camisón, C. and Villar-López, A. (2014). Organizational innovation as an enabler of technological innovation capabilities and firm performance. Journal of Business Research, 67(1), 2891-2902. https://doi.org/10.1016/j.jbusres.2012.06.004 Escribano, A., Fosfuri, A. and Tribó, J.A. (2009). Managing external knowledge flows: The moderating role of absorptive capacity. Research Policy, 38(1), 96-105. https://doi.org/10.1016/j.respol.2008.10.022 Analyzing the Medium-Low and Low- Technology Firms’ Innovative Behavior in an Emerging Economy Cucculelli, M. (2018). Firm age and the probability of product innovation. Do CEO tenure and product tenure matter? Journal of Evolutionary Economics, 28(1), 153-179. https://doi.org/10.1007/s00191-017-0542-4 Cohen, W.M. and 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 Chin, W.W. and Dibbern, J. (2010). An introduction to a permutation based procedure for multi-group PLS analysis: Results of tests of differences on simulated data and a cross cultural analysis of the sourcing of information system services between Germany and the USA. In Esposito Vinzi, V. (Eds.), Handbook of Partial Least Squares (pp. 171-193). Heidelberg, Germany: Springer. https://doi.org/10.1007/978-3-540-32827-8_8 Chin, W., Marcolin, B. and Newsted, P. (2003). A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-mail Emotion/Adoption Study. Information Systems Research, 14(2), 189-217. https://doi.org/10.1287/isre.14.2.189.16018 Chen, S.T. and Chang, B.G. (2012). The effects of absorptive capacity and decision speed on organizational innovation: a study of organizational structure as an antecedent variable. Contemporary Management Research, 8(1), 27-50. https://doi.org/10.7903/cmr.7996 Arbussa, A. and Coenders, G. (2007). Innovation activities, use of appropriation instruments and absorptive capacity: Evidence from Spanish firms. Research Policy, 36(10), 1545-1558. https://doi.org/10.1016/j.respol.2007.04.013 Carr, N.G. (2003). IT doesn't matter. Harvard Business Review, 38, 24-38. Caloghirou, Y., Kastelli, I. and Tsakanikas, A. 2004). Internal capabilities and external knowledge sources: complements or substitutes for innovation performance? Technovation, 24(1), 29-39. https://doi.org/10.1016/S0166-4972(02)00051-2 Calantone, R.J., Cavusgil, S.T. and Zhao, Y. (2002). Learning orientation, firm innovation capability, and firm performance. Industrial Marketing Management, 31(6), 515-524. https://doi.org/10.1016/S0019-8501(01)00203-6 Battisti, G. and Stoneman, P. (2010). How innovative are UK firms? Evidence from the fourth UK community innovation survey on synergies between technological and organizational innovations. British Journal of Management, 21(1), 187-206. https://doi.org/10.1111/j.1467-8551.2009.00629.x Benavente, M. (2006). The role of research and innovation in promoting productivity in Chile. Economics of Innovation and New Technology, 15(4-5), 301-315. https://doi.org/10.1080/10438590500512794 Brenes, E.R. et al. (2016). Strategy and innovation in emerging economies after the end of the commodity boom-Insights from Latin America. Journal of Business Research, 69(10), 4363-4367. https://doi.org/10.1016/j.jbusres.2016.03.059 Publication Calero-Medina, C. and Noyons, E.C. (2008). Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field. Journal of Informetrics, 2(4), 272-279. https://doi.org/10.1016/j.joi.2008.09.005 2020-07-27 2020-07-27T00:00:00Z https://revistas.ceipa.edu.co/index.php/perspectiva-empresarial/article/download/683/950 2389-8194 https://revistas.ceipa.edu.co/index.php/perspectiva-empresarial/article/download/683/1025 2020-07-27T00:00:00Z https://doi.org/10.16967/23898186.683 10.16967/23898186.683 36 54 2389-8186 https://revistas.ceipa.edu.co/index.php/perspectiva-empresarial/article/download/683/959 |
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CEIPA BUSINESS SCHOOL |
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Colombia |
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Revista Perspectiva Empresarial |
| title |
Analyzing the Medium-Low and Low- Technology Firms’ Innovative Behavior in an Emerging Economy |
| spellingShingle |
Analyzing the Medium-Low and Low- Technology Firms’ Innovative Behavior in an Emerging Economy Soria Gómez, Eduardo Javier Miralles, Francesc Del Carpio Gallegos, Javier Fernando Peru. technological change industry Innovation behavior |
| title_short |
Analyzing the Medium-Low and Low- Technology Firms’ Innovative Behavior in an Emerging Economy |
| title_full |
Analyzing the Medium-Low and Low- Technology Firms’ Innovative Behavior in an Emerging Economy |
| title_fullStr |
Analyzing the Medium-Low and Low- Technology Firms’ Innovative Behavior in an Emerging Economy |
| title_full_unstemmed |
Analyzing the Medium-Low and Low- Technology Firms’ Innovative Behavior in an Emerging Economy |
| title_sort |
analyzing the medium-low and low- technology firms’ innovative behavior in an emerging economy |
| title_eng |
Analyzing the Medium-Low and Low- Technology Firms’ Innovative Behavior in an Emerging Economy |
| description_eng |
Objective. Design a model that shows what factors favor the development of technological innovation in manufacturing companies of medium-low and low technological intensity. Methodology. A sample of 1106 manufacturing companies that participated in the innovation surveys in 2012 and 2015 was used, applying the partial structural equations approach and estimating the invariance between the two groups. Results. The results of this study from the structural model, which allow obtaining the positive and statistically significant coefficients, which allow empirically validating the hypotheses. Conclusions. It was evidenced that non-technological innovation, absorption capacity and technologicalacquisition favor technological innovation in companies with low technological intensity.This article confirms that manufacturing companies should guide efforts to improve their capacity for innovation.
|
| author |
Soria Gómez, Eduardo Javier Miralles, Francesc Del Carpio Gallegos, Javier Fernando |
| author_facet |
Soria Gómez, Eduardo Javier Miralles, Francesc Del Carpio Gallegos, Javier Fernando |
| topic |
Peru. technological change industry Innovation behavior |
| topic_facet |
Peru. technological change industry Innovation behavior |
| citationvolume |
8 |
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1 |
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Núm. 1 , Año 2021 : enero-junio |
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Sabaneta: Fundación Universitaria Ceipa, 2014- |
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Revista Perspectiva Empresarial |
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https://revistas.ceipa.edu.co/index.php/perspectiva-empresarial/article/view/683 |
| language |
Inglés |
| format |
Article |
| rights |
http://purl.org/coar/access_right/c_abf2 info:eu-repo/semantics/openAccess Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0. https://creativecommons.org/licenses/by-nc-sa/4.0 Revista Perspectiva Empresarial - 2021 |
| references_eng |
Potters, L. (2009). Innovation input and output: differences among sectors. IPTS Working Paper on Corporate R&D and Innovation, 10, 2-38. Pérez, J.A.H. et al. (2018). New approach to the nnovation process in emerging economies: The manufacturing sector case in Chile and Peru. Technovation, 79, 35-55. https://doi.org/10.1016/j.technovation.2018.02.012 Matthews, L. (2017). Applying multigroup analysis in PLS-SEM: A step-by-step process. In Latan, H. and Noonan, R. (Eds.), Partial Least Squares Path Modeling (pp. 219-243). Cham, Switzerland: Springer. https://doi.org/10.1007/978-3-319-64069-3_10 Ramírez, M.S. and García-Peñalvo, F.J. (2018). Cocreation and open innovation: Systematic literature review. Communicate, 26(54), 9-18. https://doi.org/10.3916/C54-2018-01 Mothe, C. and Uyen, N.T.T. (2012). The impact of nontechnological on technological innovations: do services differ from manufacturing? An empirical analysis of Luxembourg firms. International Journal of Technology Management, 57(4), 227-244. https://doi.org/10.1504/IJTM.2012.045544 Min, W.Z., Ling, K.C. and Tan, P.H. (2016). The effects of technological innovation, organizational innovation and absorptive capacity on product innovation: a structural equation modeling approach. Asian Social Science, 12(1), 199-222. https://doi.org/10.5539/ass.v12n1p199 Rangus, K. and Slavec, A. (2017). The interplay of decentralization, employee involvement and absorptive capacity on firms' innovation and business performance. Technological Forecasting and Social Change, 120, 195-203. https://doi.org/10.1016/j.techfore.2016.12.017 Olavarrieta, S. and Villena, M.G. (2014). Innovation and business research in Latin America: An overview. Journal of Business Research, 67(4), 489-497. https://doi.org/10.1016/j.jbusres.2013.11.005 Hervas-Oliver, J.L., Garrigos, J.A. and Gil-Pechuan, I. (2011). Making sense of innovation by R&D and non-R&D innovators in low technology contexts: A forgotten lesson for policymakers. Technovation, 31(9), 427-446.https://doi.org/10.1016/j.technovation.2011.06.006 Liao, S.H. and Wu, C.C. (2010). System perspective of knowledge management, organizational learning, and organizational innovation. Expert Systems with Applications, 37(2), 1096-1103. https://doi.org/10.1016/j.eswa.2009.06.109 Laursen, K. and Salter, A. (2006). Open for innovation: the role of openness in explaining innovation performance among UK manufacturing firms. Strategic Management Journal, 27(2), 131-150. https://doi.org/10.1002/smj.507 Kim, D.J. and Kogut, B. (1996). Technological platforms and diversification. Organization Science, 7(3), 283-301. https://doi.org/10.1287/orsc.7.3.283 Jansen, J., Van Den Bosch, F. And Volberda, H. (2006). Exploratory innovation, exploitative innovation, and performance: Effects of organizational antecedents and environmental moderators. Management Science, 52(11), 1661-1674. https://doi.org/10.1287/mnsc.1060.0576 Santamaría, L., Nieto, M.J. and Barge-Gil, A. (2009). Beyond formal R&D: Taking advantage of other sources of innovation in low-and mediumtechnology industries. Research Policy, 38(3), 507-517. https://doi.org/10.1016/j.respol.2008.10.004 Heredia, J. et al. (2017). Effects of informal competition on innovation performance: the case of pacific alliance. Journal of Technology Management & Innovation, 12(4), 22-28. https://doi.org/10.4067/S0718-27242017000400003 Henseler, J., Ringle, C.M. and 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 Heidenreich, M. (2009). Innovation patterns and location of European low-and mediumtechnology industries. Research Policy, 38(3), 483-494. https://doi.org/10.1016/j.respol.2008.10.005 Hair Jr, J.F. et al. (2014). Partial least squares structural equation modeling (PLS-SEM) An emerging tool in business research. European Business Review, 26(2), 106-121. https://doi.org/10.1108/EBR-10-2013-0128 Gunday, G. et al. (2011). Effects of innovation types on firm performance. International Journal of Production Economics, 133(2), 662-676. https://doi.org/10.1016/j.ijpe.2011.05.014 Gronum, S., Verreynne, M.L. and Kastelle, T. (2012). The role of networks in small and medium‐sized enterprise innovation and firm performance. Journal of Small Business Management, 50(2), 257-282. https://doi.org/10.1111/j.1540-627X.2012.00353.x Riverola, C. and Miralles, F. (2016). How do opportunity-based entrepreneurs network through social media. In ACERE Conference, Australian Centre for Entrepreneurship Research Exchange, Bond University, Queensland, Australia. Salas, W.G.V. and Deng, Z. (2017). High ownership concentration and exporting of emerging market firms: evidence from Peru. Frontiers of Business Research in China, 11(1), 17-35. https://doi.org/10.1186/s11782-017-0018-2 Scott, G.J. and Chaston, I. (2012). Culture and innovation in Peru from a management perspective. Journal of Global Initiatives, 7(2), 131-145. https://doi.org/10.7835/ccwp-2012-09-0010 Schmidt, T. and Rammer, C. (2006). The determinants and effects of technological and non technological innovations-Evidence from the German CIS IV. Mannheim, Germany: Zentrum für Europäische Wirtschaftsforschung. https://doi.org/10.2139/ssrn.1010301 Wang, C. and Han, Y. (2011). Linking properties of knowledge with innovation performance: the moderate role of absorptive capacity. Journal of Knowledge Management, 15(5), 802-819. https://doi.org/10.1108/13673271111174339 Zuniga, P. and Crespi, G. (2013). Innovation strategies and employment in Latin American firms. Structural Change and Economic Dynamics, 24, 1-17. https://doi.org/10.1016/j.strueco.2012.11.001 Volberda, H.W., Foss, N.J. and Lyles, M.A. (2010). Perspective-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 Schmidt, T. and Rammer, C. (2007). Nontechnological and technological innovation: strange bedfellows? Working paper that can be obtained from. Centre for European Economic Research Discussion Paper, 07(052), 2-45. https://doi.org/10.2139/ssrn.1010301 Urbancova, H. (2013). Competitive advantage achievement through innovation and knowledge. Journal of Competitiveness, 5(1), 82-96. https://doi.org/10.7441/joc.2013.01.06 Tortoriello, M. (2015). The social underpinnings of absorptive capacity: The moderating effects of structural holes on innovation generation based on external knowledge. Strategic Management Journal, 36(4), 586-597. https://doi.org/10.1002/smj.2228 Thornhill, S. (2006). Knowledge, innovation and firm performance in high-and low-technology regimes. Journal of Business Venturing, 21(5), 687-703. https://doi.org/10.1016/j.jbusvent.2005.06.001 Tenenhaus, M. et al. (2005). PLS path modeling. Computational Statistics & Data Analysis, 48(1), 159-205. https://doi.org/10.1016/j.csda.2004.03.005 Tello, M.D. (2017). Innovation and productivity in services and manufacturing firms: the case of Peru. CEPAL Review, 121, 69-86. https://doi.org/10.18356/a4c7eea5-en Sun, P.-T. and Anderson, M. (2010). An examination of the relationship between absorptive capacity and organizational learning, and a proposed integration. International Journal of Management Review, 12(2), 130-150. https://doi.org/10.1111/j.1468-2370.2008.00256.x Frank, A.G. et al. (2016). The effect of innovation activities on innovation outputs in the Brazilian industry: Market-orientation vs. technologyacquisition strategies. Research Policy, 45(3), 577-592. https://doi.org/10.1016/j.respol.2015.11.011 Sciascia, S. et al. (2014). Entrepreneurial Orientation in low-and medium-tech industries: The need for Absorptive Capacity to increase performance. European Management Journal, 32(5), 761-769. https://doi.org/10.1016/j.emj.2013.12.007 Schoenmakers, W. and Duysters, G. (2006). Learning in strategic technology alliances. Technology Analysis & Strategic Management, 18(2), 245- 264. https://doi.org/10.1080/09537320600624162 Geldes, C., Felzensztein, C. and Palacios-Fenech, J. (2017). Technological and non-technological innovations, performance and propensity to innovate across industries: The case of an emerging economy. Industrial Marketing Management, 61, 55-66. https://doi.org/10.1016/j.indmarman.2016.10.010 Del Carpio, J.F. and Miralles, F. (2018). 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