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La actividad innovadora y sus fuentes de incertidumbre: una taxonomía integral

Resumen

La única certeza en la innovación es la incertidumbre. La prevalencia de incógnitas heterogéneas, el carácter novedoso, no estándar, complejo, multivariable e interdependiente hace de la innovación un proceso razonado bajo incertidumbre. Cuando se describen los efectos adversos de este proceso, con frecuencia se hace refiriéndose a los términos riesgo e incertidumbre indistintamente dado el límite difuso entre ambos. Sin embargo, esta confusión puede llevar a tomar decisiones con deficiente calidad al suponer que se conocen con claridad variables importantes que afectan la innovación cuando en realidad no es así. Ante esta disparidad y ambigüedad teórica y empírica detectada, este trabajo desarrolla un análisis del concepto de incertidumbre, identifica sus características clave y ofrece una taxonomía de las fuentes que la originan en el contexto de la innovación. A través de un análisis de revisión de literatura mixta se presenta una proposición de incertidumbre que integra la percepción, los procesos de cognición, las limitaciones cognitivas, la brecha de información o conocimiento, la calidad y su accesibilidad, así como la inferencia y la construcción de modelos subjetivos que dan sentido a las situaciones experimentadas. Además, los resultados aportan la identificación de cinco características clave y nueve fuentes de incertidumbre: 1) Política - económica, 2) Sociocultural – socioambiental, 3) Mercado, 4) Relaciones de cooperación, colaboración y coinnovación, 5) Técnico – tecnológico, 6) Capital financiero, 7) Capital intelectual humano, 8) Gobierno corporativo - Interdependencias operativas y 9) Comercial.

Códigos JEL: O30, O31

Recibido: 26/09/2023. Aceptado: 14/04/2024. Publicado: 18/05/2024

Palabras clave

innovación, incertidumbre, percepción, conocimiento

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Citas

  1. Abdar, M., Pourpanah, F., Hussain, S., Rezazadegan, D., Liu, L., Ghavamzadeh, M., Fieguth, P., Cao, X., Khosravi, A., Acharya, U. R., Makarenkov, V., & Nahavandi, S. (2021). A review of uncertainty quantification in deep learning: Techniques, applications and challenges. Information Fusion, 76, 243–297. https://doi.org/10.1016/j.inffus.2021.05.008 DOI: https://doi.org/10.1016/j.inffus.2021.05.008
  2. Ankrah, S., & Al‐Tabbaa, O. (2015). Universities–industry collaboration: A systematic review. Scandinavian Journal Of Management, 31(3), 387-408. https://doi.org/10.1016/j.scaman.2015.02.003 DOI: https://doi.org/10.1016/j.scaman.2015.02.003
  3. Arend, R. J. (2020). On the Irony of Being Certain on How to Deal with Uncertainty. Academy of Management Review, 45(4), 766–786. https://doi.org/10.5465/amr.2019.0395 DOI: https://doi.org/10.5465/amr.2019.0395
  4. Augier, M. (2018). Bounded Rationality. In The Palgrave Encyclopedia of Strategic Management (pp. 118–122). Palgrave Macmillan UK. https://doi.org/10.1057/978-1-137-00772-8_533 DOI: https://doi.org/10.1057/978-1-137-00772-8_533
  5. Baker, S. R., Bloom, N., & Davis, S. J. (2016). Measuring economic policy uncertainty. The Quarterly Journal of Economics, 131(4), 1593–1636. https://doi.org/10.1093/qje/qjw024 DOI: https://doi.org/10.1093/qje/qjw024
  6. Barry, E. S., Merkebu, J., & Varpio, L. (2022). State-of-the-art literature review methodology: A six-step approach for knowledge synthesis. Perspectives on Medical Education, 11(5), 281–288. https://doi.org/10.1007/s40037-022-00725-9 DOI: https://doi.org/10.1007/S40037-022-00725-9
  7. Böhle, F. (2011). Management of Uncertainty – A Blind Spot in the Promotion of Innovations. In Springer eBooks (pp. 17-29). https://doi.org/10.1007/978-3-642-24503-9_2 DOI: https://doi.org/10.1007/978-3-642-24503-9_2
  8. Böhle, F., & Bürgermeister, M. (2012). Innovation Management: Limits of Planning and New Challenges. In Innovation Management by Promoting the Informal (pp. 1–229). https://doi.org/10.1007/978-3-642-28015-3 DOI: https://doi.org/10.1007/978-3-642-28015-3_1
  9. Bolisani, E., & Bratianu, C. (2017). Knowledge strategy planning: an integrated approach to manage uncertainty, turbulence, and dynamics. Journal of Knowledge Management, 21(2), 233–253. https://doi.org/10.1108/JKM-02-2016-0071 DOI: https://doi.org/10.1108/JKM-02-2016-0071
  10. Cambridge Dictionary. (s.f.). Uncertainty. En Dictionary.Cambridge.org. https://dictionary.cambridge.org/es/diccionario/ingles/uncertainty
  11. Carrillo, J. E., & Gaimon, C. (2002). A framework for process change. IEEE Transactions on Engineering Management, 49(4), 409–427. https://doi.org/10.1109/TEM.2002.806712 DOI: https://doi.org/10.1109/TEM.2002.806712
  12. Chawla, C., Mangaliso, M., Knipes, B., & Gauthier, J. (2012). Antecedents and implications of uncertainty in management: A historical perspective. Journal of Management History, 18(2), 200–218. https://doi.org/10.1108/17511341211206852 DOI: https://doi.org/10.1108/17511341211206852
  13. Chen, J., Shu, W., Wang, X., Sial, M. S., Sehleanu, M., & Badulescu, D. (2022). The impact of environmental uncertainty on corporate innovation: Empirical evidence from an emerging economy. International Journal of Environmental Research and Public Health, 19(1). https://doi.org/10.3390/ijerph19010334 DOI: https://doi.org/10.3390/ijerph19010334
  14. De Vasconcelos Gomes, L. A., Facin, A. L. F., & Salerno, M. S. (2021). Managing uncertainty propagation in innovation ecosystems. Technological Forecasting and Social Change, 171(2019). https://doi.org/10.1016/j.techfore.2021.120945 DOI: https://doi.org/10.1016/j.techfore.2021.120945
  15. De Vasconcelos Gomes, L. A., Salerno, M. S., Phaal, R., & Probert, D. (2018). How entrepreneurs manage collective uncertainties in innovation ecosystems. Technological Forecasting and Social Change, 128(2016), 164–185. https://doi.org/10.1016/j.techfore.2017.11.016 DOI: https://doi.org/10.1016/j.techfore.2017.11.016
  16. D’Souza, N., & Wong, G. (2019). Reviewing Literature for and as Research. In Innovation and change in professional education (pp. 377-388). https://doi.org/10.1007/978-981-13-3128-2_33 DOI: https://doi.org/10.1007/978-981-13-3128-2_33
  17. Emblemsvåg, J. (2016). Risk and Uncertainty—Crucial Issues in Finance and Innovation. In Reengineering Capitalism: From Industrial Revolution Towards Sustainable Development (Issue 1995, pp. 1–307). https://doi.org/10.1007/978-3-319-19689-3 DOI: https://doi.org/10.1007/978-3-319-19689-3_3
  18. Fallesen, J. J., & Halpin, S. M. (2004). Representing Cognition As an Intent-Driven Process. Advances in Human Performance and Cognitive Engineering Research, 5(1998), 195–266. https://doi.org/10.1016/S1479-3601(04)05004-0 DOI: https://doi.org/10.1016/S1479-3601(04)05004-0
  19. Fanousse, R. I., Nakandala, D., & Lan, Y. C. (2021). Reducing uncertainties in innovation projects through intra-organisational collaboration: a systematic literature review. International Journal of Managing Projects in Business, 14(6), 1335–1358. https://doi.org/10.1108/IJMPB-11-2020-0347 DOI: https://doi.org/10.1108/IJMPB-11-2020-0347
  20. Firoozye, N. B., & Ariff, F. (2016). Managing Uncertainty: A Modern Necessity. Managing Uncertainty, Mitigating Risk. Palgrave Macmillan, London, 35–54. https://doi.org/10.1057/9781137334541_3 DOI: https://doi.org/10.1057/9781137334541_3
  21. Fixson, S. K., Khachatryan, D., & Lee, W. (2017). Technological uncertainty and firm boundaries: The moderating effect of knowledge modularity. IEEE Transactions on Engineering Management, 64(1), 16–28. https://doi.org/10.1109/TEM.2016.2638847 DOI: https://doi.org/10.1109/TEM.2016.2638847
  22. Galbraith, J. R. (1974) Organization Design: An Information Processing View. Interfaces, 4(3), 28-36. https://doi.org/10.1287/inte.4.3.28 DOI: https://doi.org/10.1287/inte.4.3.28
  23. Goyal, S., & Pitt, M. (2007). Determining the role of innovation management in facilities management. Facilities, 25(1–2), 48–60. https://doi.org/10.1108/02632770710716939 DOI: https://doi.org/10.1108/02632770710716939
  24. Haleem, M., Farooqui, M. F., & Faisal, M. (2021a). Cognitive impact validation of requirement uncertainty in software project development. International Journal of Cognitive Computing in Engineering, 2(2020), 1–11. https://doi.org/10.1016/j.ijcce.2020.12.002 DOI: https://doi.org/10.1016/j.ijcce.2020.12.002
  25. Haleem, M., Farooqui, M. F., & Faisal, M. (2021b). Tackling Requirements Uncertainty in Software Projects: A Cognitive Approach. International Journal of Cognitive Computing in Engineering, 2(2021), 180–190. https://doi.org/10.1016/j.ijcce.2021.10.003 DOI: https://doi.org/10.1016/j.ijcce.2021.10.003
  26. Hall, J. K., & Martin, M. J. C. (2005). Disruptive technologies, stakeholders and the innovation value-added chain: A framework for evaluating radical technology development. R and D Management, 35(3), 273–284. https://doi.org/10.1111/j.1467-9310.2005.00389.x DOI: https://doi.org/10.1111/j.1467-9310.2005.00389.x
  27. Hall, J., Matos, S., Silvestre, B., & Martin, M. (2011). Managing technological and social uncertainties of innovation: The evolution of Brazilian energy and agriculture. Technological Forecasting and Social Change, 78(7), 1147–1157. https://doi.org/10.1016/j.techfore.2011.02.005 DOI: https://doi.org/10.1016/j.techfore.2011.02.005
  28. Han, J. Y., & Kang, R. (2020). Market uncertainty, innovation of firms in alliance and alliance partner characteristics. European Journal of Innovation Management, 24(5), 1883–1905. https://doi.org/10.1108/EJIM-05-2020-0195 DOI: https://doi.org/10.1108/EJIM-05-2020-0195
  29. Harris, C. (2003). The Unique Nature of Innovation. Building Innovative Teams. Palgrave Macmillan, London, 9–19. https://doi.org/10.1057/9780230001145_2 DOI: https://doi.org/10.1057/9780230001145_2
  30. Heimstädt, M., & Reischauer, G. (2018). Open(ing up) for the future: Practising open strategy and open innovation to cope with uncertainty. How Organizations Manage the Future: Theoretical Perspectives and Empirical Insights. Future. Palgrave Macmillan, Cham, 113–131. https://doi.org/10.1007/978-3-319-74506-0_6 DOI: https://doi.org/10.1007/978-3-319-74506-0_6
  31. Huff, A. S., Milliken, F. J., Hodgkinson, G. P., Galavan, R. J., & Sund, K. J. (2017). A Conversation About Uncertainty in Managerial and Organizational Cognition. In Uncertainty and Strategic Decision Making (New Horizons in Managerial and Organizational Cognition) (Vol. 2017, Issue 1, p. 15642). https://doi.org/10.5465/ambpp.2017.15642symposium
  32. Hodgkinson, G. P., Huff, A. S., Milliken, F. J., & Sund, K. J. (2017). A Conversation About Uncertainty in Managerial and Organizational Cognition. Proceedings - Academy Of Management, 2017(1), 15642. https://doi.org/10.5465/ambpp.2017.15642symposium DOI: https://doi.org/10.5465/AMBPP.2017.15642symposium
  33. Hyvärinen, A., Keskinen, M., & Levänen, J. (2020). Innovation process and uncertainties in resource-constrained environments: A case from the water service sector in East Africa. Environmental Science & Policy, 114, 242-252. https://doi.org/10.1016/j.envsci.2020.07.007 DOI: https://doi.org/10.1016/j.envsci.2020.07.007
  34. Isler, O. (2021). Bounded Rationality. In Encyclopedia of Evolutionary Psychological Science (pp. 705–707). Springer International Publishing. https://doi.org/10.1007/978-3-319-19650-3_2156 DOI: https://doi.org/10.1007/978-3-319-19650-3_2156
  35. Jansen van Vuuren, D. (2017). Valuation paradigm: a rationality and (un)certainty spectrum. Journal of Property Investment and Finance, 35(2), 228–239. https://doi.org/10.1108/JPIF-09-2016-0075 DOI: https://doi.org/10.1108/JPIF-09-2016-0075
  36. Kaplinsky, R. (2019). Technology and Innovation for Sustainable Development. In The Palgrave Handbook of Development Economics: Critical Reflections on Globalisation and Development (pp. 589–626). https://doi.org/10.1007/978-3-030-14000-7_17 DOI: https://doi.org/10.1007/978-3-030-14000-7_17
  37. Knight, F. (1921). Risk, Uncertainty, and Profit. Hart, Schaffner, and Marx; Houghton Mifflin. https://oll.libertyfund.org/title/knight-risk-uncertainty-and-profit
  38. Lane, D. A., & Maxfield, R. R. (2005). Ontological uncertainty and innovation. Journal of Evolutionary Economics, 15(1), 3–50. https://doi.org/10.1007/s00191-004-0227-7 DOI: https://doi.org/10.1007/s00191-004-0227-7
  39. Li, X., Hu, Z., & Zhang, Q. (2021). Environmental regulation, economic policy uncertainty, and green technology innovation. Clean Technologies and Environmental Policy, 23(10), 2975–2988. https://doi.org/10.1007/s10098-021-02219-4 DOI: https://doi.org/10.1007/s10098-021-02219-4
  40. Marinho, M., Sampaio, S., & Moura, H. (2017). Managing uncertainty in software projects. Innovations in Systems and Software Engineering, 14(3), 157–181. https://doi.org/10.1007/s11334-017-0297-y DOI: https://doi.org/10.1007/s11334-017-0297-y
  41. Martinsuo, M., Korhonen, T., & Laine, T. (2014). Identifying, framing and managing uncertainties in project portfolios. International Journal of Project Management, 32(5), 732–746. https://doi.org/10.1016/j.ijproman.2014.01.014 DOI: https://doi.org/10.1016/j.ijproman.2014.01.014
  42. Marwala, T., & Hurwitz, E. (2017). Bounded Rationality. In Artificial Intelligence and Economic Theory: Skynet in the Market (pp. 41–50). https://doi.org/10.1007/978-3-319-66104-9_4 DOI: https://doi.org/10.1007/978-3-319-66104-9_4
  43. McKelvie, A., Haynie, J. M., & Gustavsson, V. (2011). Unpacking the uncertainty construct: Implications for entrepreneurial action. Journal of Business Venturing, 26(3), 273–292. https://doi.org/10.1016/j.jbusvent.2009.10.004 DOI: https://doi.org/10.1016/j.jbusvent.2009.10.004
  44. Merriam-Webster Dictionary. (s.f.). Uncertainty En Merriam-webster.com. https://www.merriam-webster.com/dictionary/uncertainty
  45. Milliken, F. J. (1987). Three Types of Perceived Uncertainty About the Environment: State, Effect, and Response Uncertainty. Academy of Management Review, 12(1), 133–143. https://doi.org/10.5465/amr.1987.4306502 DOI: https://doi.org/10.5465/amr.1987.4306502
  46. Miozzo, M., & DiVito, L. (2020). Productive opportunities, uncertainty, and science-based firm emergence. Small Business Economics, 54(2), 539–560. https://doi.org/10.1007/s11187-018-0033-5 DOI: https://doi.org/10.1007/s11187-018-0033-5
  47. Moreira, A. C. (2021). Introduction to the Special Section: Innovation. Cuadernos de Gestion, 21(2), 79–82. https://doi.org/10.5295/cdg.211470ac DOI: https://doi.org/10.5295/cdg.211470ac
  48. Nightingale, P. (2018). Innovation. In In: Augier M., Teece D.J. (eds) The Palgrave Encyclopedia of Strategic Management. Palgrave Macmillan, London. (pp. 734–745). https://doi.org/10.4337/9781781002407.00024 DOI: https://doi.org/10.1057/978-1-137-00772-8_391
  49. O’Connor, G. C., & Rice, M. P. (2013). A comprehensive model of uncertainty associated with radical innovation. Journal of Product Innovation Management, 30(SUPPL 1), 2–18. https://doi.org/10.1111/jpim.12060 DOI: https://doi.org/10.1111/jpim.12060
  50. Oxford Learner´s Dictionaries. (s.f.). Uncertainty. En Oxfordlearnersdictionaries.com. https://www.oxfordlearnersdictionaries.com/definition/american_english/uncertainty
  51. Palinkas, L. A., Horwitz, S. M., Green, C. A., Wisdom, J. P., Duan, N., & Hoagwood, K. (2015). Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research. Administration and Policy in Mental Health and Mental Health Services Research, 42(5), 533–544. https://doi.org/10.1007/s10488-013-0528-y DOI: https://doi.org/10.1007/s10488-013-0528-y
  52. Parida, V., Patel, P. C., Frishammar, J., & Wincent, J. (2017). Managing the front-end phase of process innovation under conditions of high uncertainty. Quality and Quantity, 51(5), 1983–2000. https://doi.org/10.1007/s11135-016-0376-4 DOI: https://doi.org/10.1007/s11135-016-0376-4
  53. Petrakis, P. E. (2020). Uncertainty. Theoretical Approaches to Economic Growth and Development. Palgrave Macmillan, Cham, 153–172. https://doi.org/10.1007/978-3-030-50068-9 DOI: https://doi.org/10.1007/978-3-030-50068-9_6
  54. Rajan, R., Dhir, S., & Sushil. (2020). Technology management for innovation in organizations: an argumentation-based modified TISM approach. Benchmarking: An International Journal, 28(6), 1959–1986. https://doi.org/10.1108/BIJ-01-2020-0019 DOI: https://doi.org/10.1108/BIJ-01-2020-0019
  55. Rapp, D. J., & Olbrich, M. (2020). On entrepreneurial decision logics under conditions of uncertainty: an attempt to advance the current debate. Journal of Innovation and Entrepreneurship, 9(1). https://doi.org/10.1186/s13731-020-00131-7 DOI: https://doi.org/10.1186/s13731-020-00131-7
  56. Real Academia Española (s.f.a). Certidumbre. En dle.rae.es. https://dle.rae.es/certidumbre?m=form
  57. Real Academia Española (s.f.b). In. En dle.rae.es. https://dle.rae.es/in-?m=form
  58. Real Academia Española (s.f.c). Incertidumbre. En dle.rae.es. https://dle.rae.es/incertidumbre
  59. Richter, M. M., & Weber, R. O. (2013). Uncertainty. In Case-Based Reasoning (pp. 339–355). https://doi.org/10.1007/978-3-642-40167-1 DOI: https://doi.org/10.1007/978-3-642-40167-1_15
  60. Saldaña, J. (2013). The Coding Manual for Qualitative Researchers. In SAGE Publications Ltd
  61. Savage, L. J. (1972).The foundations of statistics. Dover Publications, Inc.
  62. Schaufeld, J. (2015). The Commercialization Model. Commercializing Innovation, 17–30. https://doi.org/10.1007/978-1-4302-6353-1_2 DOI: https://doi.org/10.1007/978-1-4302-6353-1_2
  63. Schmidt-Thomé, P. (2013). Urban environments and natural hazards. Encyclopedia of Earth Sciences Series, 1063–1065. https://doi.org/10.1007/978-1-4020-4399-4_45 DOI: https://doi.org/10.1007/978-1-4020-4399-4_45
  64. Sengupta, J. (2014). Managing Innovation. In Theory of Innovation: A New Paradigm of Growth. Springer, Cham (Vol. 9783319021, pp. 1–154). https://doi.org/10.1007/978-3-319-02183-6 DOI: https://doi.org/10.1007/978-3-319-02183-6
  65. Simangunsong, E., Hendry, L. C., & Stevenson, M. (2012). Supply-chain uncertainty: A review and theoretical foundation for future research. International Journal of Production Research, 50(16), 4493–4523. https://doi.org/10.1080/00207543.2011.613864 DOI: https://doi.org/10.1080/00207543.2011.613864
  66. Simon, H. A. (1991). Bounded Rationality and Organizational Learning. Organization Science, 2(1), 125–134. https://doi.org/10.1287/orsc.2.1.125 DOI: https://doi.org/10.1287/orsc.2.1.125
  67. Song, Y. Il, Lee, D. H., Lee, Y. G., & Chung, Y. C. (2007). Managing uncertainty and ambiguity in frontier R&D projects: A Korean case study. Journal of Engineering and Technology Management - JET-M, 24(3), 231–250. https://doi.org/10.1016/j.jengtecman.2007.05.001 DOI: https://doi.org/10.1016/j.jengtecman.2007.05.001
  68. Tracey, M. W., & Hutchinson, A. (2016). Uncertainty, reflection, and designer identity development. Design Studies, 42, 86–109. https://doi.org/10.1016/j.destud.2015.10.004 DOI: https://doi.org/10.1016/j.destud.2015.10.004
  69. Tranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375 DOI: https://doi.org/10.1111/1467-8551.00375
  70. Tsaoussi, A. (2019). Bounded Rationality. In Encyclopedia of Law and Economics (pp. 147–151). Springer New York. https://doi.org/10.1007/978-1-4614-7753-2_106 DOI: https://doi.org/10.1007/978-1-4614-7753-2_106
  71. Walcher, F., & Wohrl, U. (2016). Measuring innovation performance. In Research Technology Management (Vol. 50, Issue 6, pp. 5–7). https://doi.org/10.1057/9780230522497_11 DOI: https://doi.org/10.1057/9780230522497_11
  72. Walker, D. H. T., Davis, P. R., & Stevenson, A. (2017). Coping with uncertainty and ambiguity through team collaboration in infrastructure projects. International Journal of Project Management, 35(2), 180–190. https://doi.org/10.1016/j.ijproman.2016.11.001 DOI: https://doi.org/10.1016/j.ijproman.2016.11.001
  73. Weiss, M., & Wittmann, C. (2018). Objective environmental conditions and perceived environmental uncertainty: Cognitive models as explanation for a perceptual gap. Journal of Accounting and Organizational Change, 14(1), 33–60. https://doi.org/10.1108/JAOC-11-2016-0079 DOI: https://doi.org/10.1108/JAOC-11-2016-0079
  74. Xin, D., & Xin, L. (2022). The impact of economic policy uncertainty on PM2.5 pollution—evidence from 25 countries. Environmental Science and Pollution Research, 0123456789. https://doi.org/10.1007/s11356-022-18599-z DOI: https://doi.org/10.1007/s11356-022-18599-z
  75. Zhao, J. (2021). Knowledge management capability and technology uncertainty: driving factors of dual innovation. Technology Analysis and Strategic Management, 33(7), 783–796. https://doi.org/10.1080/09537325.2020.1841896 DOI: https://doi.org/10.1080/09537325.2020.1841896

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