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Absorptive capacity and its impact on innovation and performance: findings from SEM and fsQCA

  • Sonia Cruz-Ros
  • Diana L. Guerrero-Sánchez
  • Maria-Jose Miquel-Romero
Original Paper
  • 10 Downloads

Abstract

Innovation can provide sustainable competitive advantages to service companies that consider the absorption of external knowledge a key strategic issue. Using the four dimensions of absorptive capacity, this study examined the impact of absorptive capacity on innovation in service delivery processes and explored how this innovation influences business performance. Structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) were applied to a sample of 134 companies drawn from the Colombian tourism sector. The results of the SEM indicate that innovation in service delivery processes is positively influenced by two of the four dimensions of absorptive capacity: knowledge transformation and knowledge exploitation. Also, innovation in service delivery processes encourages outstanding performance and mediates the relationship between absorptive capacity and business performance. These findings are supported by the results of the fsQCA. Furthermore, although the SEM results indicate that knowledge exploitation has the greatest direct influence on innovation, the fsQCA results suggest that knowledge assimilation and transformation are necessary conditions for companies to outperform competitors.

Keywords

Absorptive capacity Innovation fsQCA SEM Business performance 

JEL Classification

M10 M31 

References

  1. Abecassis-Moedas C, Mahmoud-Jouini SB (2008) Absorptive capacity and source-recipient complementarity in designing new products: an empirically derived framework. J Prod Innov Manage 25:473–490CrossRefGoogle Scholar
  2. Aldebert B, Dang RJ, Longhi C (2011) Innovation in the tourism industry: the case of tourism. Tour Manage 32:1204–1213CrossRefGoogle Scholar
  3. Ali M, Kan KAS, Sarstedt M (2016) Direct and configurational paths of absorptive capacity and organizational innovation to successful organizational performance. J Bus Res 69:5317–5323CrossRefGoogle Scholar
  4. Arshad AM, Su Q (2015) Interlinking service delivery innovation and service quality: a conceptual framework. J Appl Bus Res 31:1807CrossRefGoogle Scholar
  5. Bagozzi RP, Yi Y (1988) On the evaluation of structural equation models. J Acad Mark Sci 16:74–94CrossRefGoogle Scholar
  6. Berry LL, Parish JT, Cadwallader S, Shankar V, Dotzel T (2006) Creating new markets through service innovation. MIT Sloan Manage Rev 47:56–63Google Scholar
  7. Bruni DS, Verona G (2009) Dynamic marketing capabilities in science-based firms: an exploratory investigation of the pharmaceutical industry. Brit J Manage 20:S101–S117CrossRefGoogle Scholar
  8. Camisón C, Monfort-Mir VM (2012) Measuring innovation in tourism from the Schumpeterian and the dynamic-capabilities perspectives. Tour Manage 33:776–789CrossRefGoogle Scholar
  9. Cepeda-Carrion G, Cegarra-Navarro JG, Jiménez-Jiménez D (2012) The effect of absorptive capacity on innovativeness: context and information systems capability as catalysts. Brit J Manage 23:110–129Google Scholar
  10. Chesbrough H, Crowther AK (2006) Beyond high tech: early adopters of open innovation in other industries. R&D Manage 36:229–236CrossRefGoogle Scholar
  11. Cohen WM, Levinthal DA (1989) Innovation and learning: the two faces of R&D. Econ J 99:569–596CrossRefGoogle Scholar
  12. Cohen WM, Levinthal DA (1990) Absorptive capacity: a new perspective on learning and innovation. Adm Sci Q 35:128–152CrossRefGoogle Scholar
  13. Elbaz AM, Agag GM, Alkathiri NA (2018) How ability, motivation and opportunity influence travel agents performance: the moderating role of absorptive capacity. J knowl Manag 22:119–141CrossRefGoogle Scholar
  14. Elliot T (2013) Fuzzy set qualitative comparative analysis. http://www.socsci.uci.edu/~sgsa/docs/fsQCA_thomas_elliot.pdf. Accessed July 2016
  15. Engelman RM, Fracasso EM, Schnidt S, Zen AC (2017) Intellectual capital, absorptive capacity and product innovation. Manag Decis 55:474–490CrossRefGoogle Scholar
  16. Escribano A, Fosfuri A, Tribó JA (2009) Managing external knowledge flows: the moderating role of absorptive capacity. Res Policy 38:96–105CrossRefGoogle Scholar
  17. Fiss PC (2011) Building better causal theories: a fuzzy set approach to typologies in organization research. Acad Manage J 54:393–420CrossRefGoogle Scholar
  18. Flatten T, Adams D, Brettel M (2015) Fostering absorptive capacity through leadership: a cross-cultural analysis. J World Bus 50:519–534CrossRefGoogle Scholar
  19. Forés B, Camisón C (2016) Does incremental and radical innovation performance depend on different types of knowledge accumulation capabilities and organizational size? J Bus Res 69:831–848CrossRefGoogle Scholar
  20. Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18:39–50CrossRefGoogle Scholar
  21. Fosfuri A, Tribó JA (2008) Exploring the antecedents of potential absorptive capacity and its impact on innovation performance. Omega 36:173–187CrossRefGoogle Scholar
  22. Fraj E, Matute J, Melero I (2015) Environmental strategies and organizational competitiveness in the hotel industry: the role of learning and innovation as determinants of environmental success. Tour Manage 46:30–42CrossRefGoogle Scholar
  23. Fritsch M, Meschede M (2001) Product innovation, process innovation, and size. Rev Ind Organ 19:335–350CrossRefGoogle Scholar
  24. Govindarajan V, Kopalle PK (2006) Disruptiveness of innovations: measurement and an assessment of reliability and validity. Strateg Manage J 27:189–199CrossRefGoogle Scholar
  25. Grissemann U, Plank A, Brunner-Sperdin A (2013) Enhancing business performance of hotels: the role of innovation and customer orientation. Int J Hosp Manag 33:347–356CrossRefGoogle Scholar
  26. Hair JF, Ringle CM, Sarstedt M (2011) PLS-SEM: indeed a silver bullet. J Mark Theory Practice 19:137–149Google Scholar
  27. Hair JF, Hult GTM, Ringle C, Sarstedt M (2016) A primer on partial least squares structural equation modeling (PLS-SEM). Sage Publications, Thousand OaksGoogle Scholar
  28. Haro-Domínguez MC, Arias-Aranda D, Llorens-Montes FJ, Ruiz-Moreno A (2007) The impact of absorptive capacity on technological acquisitions engineering consulting companies. Technovation 27:417–425CrossRefGoogle Scholar
  29. Harrington SJ, Guimaraes T (2005) Corporate culture, absorptive capacity and IT success. Inf Organ 15:39–63CrossRefGoogle Scholar
  30. Henseler J, Ringle CM, Sinkovics RR (2009) The use of partial least squares path modeling in international marketing. Adv Int Mark 20:277–320Google Scholar
  31. Henseler J, Dijkstra TK, Sarstedt M, Ringle CM, Diamantopoulos A, Straub DW, Calantone RJ (2014) Common beliefs and reality about PLS: comments on Rönkkö and Evermann (2013). Organ Res Methods 17:182–209CrossRefGoogle Scholar
  32. Hjalager AM (2002) Repairing innovation defectiveness in tourism. Tour Manage 23:465–474CrossRefGoogle Scholar
  33. Hjalager AM (2010) A review of innovation research in tourism. Tour Manage 31:1–12CrossRefGoogle Scholar
  34. Jansen J, Van den Bosch FAJ, Volberda HW (2005) Managing potential and realized absorptive capacity: how do organizational antecedents matter? Acad Manage J 48:999–1015CrossRefGoogle Scholar
  35. Koçoglu I, Akgün AE, Keskin H (2015) The differential relationship between absorptive capacity and product innovativeness: a theoretically derived framework. Int Bus Res 8:108–120CrossRefGoogle Scholar
  36. Kogut B, Zander U (1992) Knowledge of the firm, combinative capabilities, and the replication of technology. Organ Sci 3:383–397CrossRefGoogle Scholar
  37. Kostopoulos K, Papalexandris A, Papachroni M, Ioannou G (2011) Absorptive capacity, innovation, and financial performance. J Bus Res 64:1335–1343CrossRefGoogle Scholar
  38. Kraus S, Ribeiro-Soriano D, Schüssler M (2018) Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research—the rise of a method. Int Entrep Manag J 14:15–33CrossRefGoogle Scholar
  39. Lichtenthaler U (2009) Absorptive capacity, environmental turbulence, and the complementarity of organizational learning processes. Acad Manage J 52:822–846CrossRefGoogle Scholar
  40. Liu X, Shen M, Ding W, Zhao X (2017) Tie strength, absorptive capacity and innovation performance in Chinese manufacturing industries. Nankai Bus Rev Int 8:475–494CrossRefGoogle Scholar
  41. Martinez-Roman JA, Tamayo JA, Gamero J, Romero JE (2015) Innovativeness and business performances in tourism SMEs. Ann Tour Res 54:118–135CrossRefGoogle Scholar
  42. Milwood P, Zach F (2016) Innovative Tourism Destinations: Collaboration Culture and Absorptive Capacity. Tourism Travel and Research Association: Advancing Tourism Research GloballyGoogle Scholar
  43. Murovec N, Prodan I (2009) Absorptive capacity, its determinants, and influence on innovation output: cross cultural validation of the structural model. Technovation 29:859–872CrossRefGoogle Scholar
  44. Najda-Janoszka M, Kopera S (2014) Exploring barriers to innovation in tourism industry—the case of southern region of Poland. Procedia Soc Behav Sci 110:190–201CrossRefGoogle Scholar
  45. Nieto M, Quevedo P (2005) Absorptive capacity, technological opportunity, knowledge spillovers, and innovative effort. Technovation 25:1141–1157CrossRefGoogle Scholar
  46. Nieves J, Quintana A, Osorio J (2014) Knowledge-based resources and innovation in the hotel industry. Int J Hosp Manag 38:65–73CrossRefGoogle Scholar
  47. Oecd E (2005) Oslo manual. Guidelines for collecting and interpreting innovation dataGoogle Scholar
  48. Ordanini A, Parasuraman A, Rubera G (2014) When the recipe is more important than the ingredients a qualitative comparative analysis (QCA) of service innovation configurations. J Serv Res 17:134–149CrossRefGoogle Scholar
  49. Pérez-Cabañero A, Cruz-Ros S, González-Cruz T (2015) The contribution of dynamic marketing capabilities to service innovation and performance. Int J Bus Environ 7:61–78CrossRefGoogle Scholar
  50. Podsakoff PM, MacKenzie SB, Lee JY, Podsakoff NP (2003) Common method biases in behavioural research: a critical review of the literature and recommended remedies. J Appl Psychol 88:879–903CrossRefGoogle Scholar
  51. Ragin CC (2000) Fuzzy-set social science. The University of Chicago Press, ChicagoGoogle Scholar
  52. Ragin CC (2006) Set relations in social research: evaluating their consistency and courage. Polit Anal 14:291–310CrossRefGoogle Scholar
  53. Ragin CC (2008a) Qualitative comparative analysis using fuzzy sets (fsQCA). In: Benoit R, Ragin C (eds) Configurational comparative analysis. Sage Publication, Thousand Oaks, pp 87–121Google Scholar
  54. Ragin CC (2008b) Redesigning social inquiry: fuzzy sets and beyond. University of Chicago Press, ChicagoCrossRefGoogle Scholar
  55. Reinartz W, Krafft M, Hoyer WD (2004) The customer relationship management process: its measurement and impact on performance. J Mark Res 41:293–305CrossRefGoogle Scholar
  56. Reinartz WJ, Haenlein M, Henseler J (2009) An empirical comparison of the efficacy of covariance based and variance-based SEM. Int J of Res Mark 26:332–344CrossRefGoogle Scholar
  57. Ritala P, Kraus S, Bouncken RB (2016) Introduction to coopetition and innovation: contemporary topics and future research opportunities. J Technol Manage 71:1–9Google Scholar
  58. Robertson PL, Casali GL, Jacobson D (2012) Managing open incremental process innovation: absorptive capacity and distributed learning. Res Policy 41:822–832CrossRefGoogle Scholar
  59. Rodriguez I, Williams AM, Hall CM (2014) Tourism innovation policy: implementation and outcomes. Ann Tour Res 49:76–93CrossRefGoogle Scholar
  60. Roig-Tierno N, Kraus S, Cruz S (2018) The relation between coopetition and innovation/entrepreneurship. Rev Manag Sci 12:379–383CrossRefGoogle Scholar
  61. Sorescu AB, Chandy RK, Prabhu JC (2007) Why some acquisitions do better than others: product capital as a driver of long-term stock returns. J Mark Res 44:57–72CrossRefGoogle Scholar
  62. Tho ND, Trang NTM (2015) Can knowledge be transferred from business schools to business organizations through in-service training students? SEM and fsQCA findings. J Bus Res 68:1332–1340CrossRefGoogle Scholar
  63. Thomas R, Wood E (2014) Innovation in tourism: re-conceptualising and measuring the absorptive capacity of the hotel sector. Tour Manage 45:39–48CrossRefGoogle Scholar
  64. Thomas R, Wood E (2015) The absorptive capacity of tourism organisations. Ann Tour Res 54:84–99CrossRefGoogle Scholar
  65. Vega-Jurado J, Gutiérrez-Gracia A, Fernández-de-Lucio I (2008) Analyzing the determinants of firm’s absorptive capacity: beyond R&D. R&d Manage 38:392–405CrossRefGoogle Scholar
  66. Verma R, Jayasimha KR (2014) Service delivery innovation architecture: an empirical study of antecedents and outcomes. IIMB Manag Rev 26(2):105–121CrossRefGoogle Scholar
  67. Walker RM (2004) Innovation and organizational performance: evidence and a research agenda. In: Advanced institute of management research working paper series, 002 London, JuneGoogle Scholar
  68. Zahra SA, George G (2002) Absorptive capacity: a review, reconceptualization, and extension. Acad Manage Rev 27:185–203CrossRefGoogle Scholar
  69. Zhou KZ, Li CB (2012) How knowledge affects radical innovation: knowledge base, market knowledge acquisition, and internal knowledge sharing. Strateg Manage J 33:1090–1102CrossRefGoogle Scholar
  70. Zou T, Ertug G, George G (2018) The capacity to innovate: a meta-analysis of absorptive capacity. Innovation 20:87–121CrossRefGoogle Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Departamento de Dirección de Empresas - Juan José Renau, Faculty of EconomicsUniversity of ValenciaValenciaSpain
  2. 2.Fundación Universitaria Lumén Gentium-Unicatólica, Facultad de Ciencias EmpresarialesUniversidad de CaliCaliColombia
  3. 3.Departamento de Comercialización e Investigación de Mercados, Faculty of EconomicsUniversity of ValenciaValenciaSpain

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