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A Comparative Analysis of Incremental and Disruptive Innovation Policies in the European Banking Sector with Hybrid Interval Type-2 Fuzzy Decision-Making Models

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Abstract

Nowadays innovation is a key issue in all business sectors, maintaining a positive correlation with the countries’ economic development. The banking sector stands out among the different economic sectors, as globalization has pushed banks into tough competition. Hence, banks within this competitive framework must innovate by developing new products to be competitive and survive. The innovation in banking products is usually sorted as incremental or disruptive. Therefore, this paper aims to evaluate the innovation policies for the European Banking Sector by analyzing incremental and disruptive innovation policies. The novelty of the paper is to propose a set of dimensions and criteria for the innovation policies of European banking industry and to construct a hybrid decision-making model based on interval type-2 fuzzy sets. Accordingly, a comparative analysis of the top five GDP European countries has been carried out using a multiple criteria decision model (MCDM). The MCDM defines different criteria for incremental and disruptive innovations according to the specialized literature. Interval type-2 fuzzy DEMATEL (IT2 FDEMATEL) is used for weighting factors, and interval type-2 fuzzy VIKOR (IT2 FVIKOR) and interval type-2 fuzzy TOPSIS (IT2 FTOPSIS) are considered for ranking alternatives in the integrated modeling. Eventually, the findings highlight the most important criteria in this analysis and the results demonstrate that the comparative analysis of IT2 FVIKOR and IT2 FTOPSIS provides comprehensive and coherent results to select the best country in the innovation policies. In addition, the need to redesign the European banking system with necessary regulations to contribute to the development of the innovations is pointed out.

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References

  1. Naranjo-Valencia, J.C., Jiménez-Jiméne, D., Sanz-Valle, R.: Studying the links between organizational culture, innovation, and performance in Spanish companies. Revista Latinoamericana de Psicología 48(1), 30–41 (2016)

    Google Scholar 

  2. Osiyevskyy, O., Dewald, J.: Explorative versus exploitative business model change: the cognitive antecedents of firm-level responses to disruptive innovation. Strateg Entrep. J. 9(1), 58–78 (2015)

    Google Scholar 

  3. Fiordelisi, F., Mare, D.S.: Competition and financial stability in European cooperative banks. J. Int. Money Finan. 45, 1–16 (2014)

    Google Scholar 

  4. Kostopoulos, K., Papalexandris, A., Papachroni, M., Ioannou, G.: Absorptive capacity, innovation, and financial performance. J. Bus. Res. 64(12), 1335–1343 (2011)

    Google Scholar 

  5. Faems, D., De Visser, M., Andries, P., Van Looy, B.: Technology alliance portfolios and financial performance: value-enhancing and cost-increasing effects of open innovation. J. Prod. Innov. Manag. 27(6), 785–796 (2010)

    Google Scholar 

  6. Zahra, S.A., Das, S.R.: Innovation strategy and financial performance in manufacturing companies: An empirical study. Prod. oper. Manag. 2(1), 15–37 (1993)

    Google Scholar 

  7. Aspara, J., Hietanen, J., Tikkanen, H.: Business model innovation vs replication: financial performance implications of strategic emphases. J. Strateg. Market. 18(1), 39–56 (2010)

    Google Scholar 

  8. Merton, R.C.: Financial innovation and economic performance. J. Appl. Corp. Finan. 4(4), 12–22 (1992)

    Google Scholar 

  9. Liao, T.S., Rice, J.: Innovation investments, market engagement and financial performance: A study among Australian manufacturing SMEs. Res. Policy 39(1), 117–125 (2010)

    Google Scholar 

  10. Ramanathan, R., Ramanathan, U., Bentley, Y.: The debate on flexibility of environmental regulations, innovation capabilities and financial performance—a novel use of DEA. Omega 75, 131–138 (2018)

    Google Scholar 

  11. Ho, K.L.P., Nguyen, C.N., Adhikari, R., Miles, M.P., Bonney, L.: Exploring market orientation, innovation, and financial performance in agricultural value chains in emerging economies. J. Innov. Knowl. 3(3), 154–163 (2018)

    Google Scholar 

  12. Salunke, S., Weerawardena, J., McColl-Kennedy. J.R.: The central role of knowledge integration capability in service innovation-based competitive strategy. Ind. Market. Manag. 76, 144–156 (2019)

    Google Scholar 

  13. Wu, L., Chiu, M.L.: Organizational applications of IT innovation and firm’s competitive performance: A resource-based view and the innovation diffusion approach. J. Eng. Tech. Manage. 35, 25–44 (2015)

    Google Scholar 

  14. Hinterhuber, A., Liozu, S.M.: Is innovation in pricing your next source of competitive advantage? 1. Innovation in Pricing, pp. 11–27. Routledge, Abingdon (2017)

    Google Scholar 

  15. Herrera, M.E.B.: Creating competitive advantage by institutionalizing corporate social innovation. J. Bus. Res. 68(7), 1468–1474 (2015)

    Google Scholar 

  16. Anning-Dorson, T.: Innovation and competitive advantage creation: the role of organisational leadership in service firms from emerging markets. Int. Market. Rev. 34(4), 580–600 (2018)

    Google Scholar 

  17. Chen, Y., Wang, Y., Nevo, S., Benitez-Amado, J., Kou, G.: IT capabilities and product innovation performance: the roles of corporate entrepreneurship and competitive intensity. Inf. Manag. 52(6), 643–657 (2015)

    Google Scholar 

  18. Rubera, G., Kirca, A.H.: You gotta serve somebody: the effects of firm innovation on customer satisfaction and firm value. J. Acad. Mark. Sci. 45(5), 741–761 (2017)

    Google Scholar 

  19. Lun, Y.V., Shang, K.C., Lai, K.H., Cheng, T.C.E.: Examining the influence of organizational capability in innovative business operations and the mediation of profitability on customer satisfaction: an application in intermodal transport operators in Taiwan. Int. J. Prod. Econ. 171, 179–188 (2016)

    Google Scholar 

  20. Bellingkrodt, S., Wallenburg, C.M.: The role of customer relations for innovativeness and customer satisfaction: a comparison of service industries. Int. J. Logist. Manag. 26(2), 254–274 (2015)

    Google Scholar 

  21. Oyner, O., Korelina, A.: The influence of customer engagement in value co-creation on customer satisfaction: searching for new forms of co-creation in the Russian hotel industry. Worldw. Hosp. Tour. Themes 8(3), 327–345 (2016)

    Google Scholar 

  22. Subramanian, N., Gunasekaran, A., Gao, Y.: Innovative service satisfaction and customer promotion behaviour in the Chinese budget hotel: an empirical study. Int. J. Prod. Econ. 171, 201–210 (2016)

    Google Scholar 

  23. Gassmann, O., Schuhmacher, A., von Zedtwitz, M., Reepmeyer, G.: Future directions and trends. Leading Pharmaceutical Innovation, pp. 155–163. Springer, Cham (2018)

    Google Scholar 

  24. Zhang, H., Liang, X., Wang, S.: Customer value anticipation, product innovativeness, and customer lifetime value: the moderating role of advertising strategy. J. Bus. Res. 69(9), 3725–3730 (2016)

    Google Scholar 

  25. Xu L, Tang S: Technology innovation-oriented complex product systems R&D investment and financing risk management: an integrated review. In: Proceedings of the Tenth International Conference on Management Science and Engineering Management, pp 1653–1663, Springer, Singapore, (2017)

  26. Bowers, J., Khorakian, A.: Integrating risk management in the innovation project. Eur. J. Innov. Manag. 17(1), 25–40 (2014)

    Google Scholar 

  27. Nikolova, L.V., Kuporov, J.J., Rodionov, D.G.: Risk management of innovation projects in the context of globalization. Int. J. Econ. Financ. Issues 5(3S), 73–79 (2015)

    Google Scholar 

  28. Gurd, B., Helliar, C.: Looking for leaders: ‘Balancing’ innovation, risk and management control systems. Br. Account. Rev. 49(1), 91–102 (2017)

    Google Scholar 

  29. Kwak, D.W., Seo, Y.J., Mason, R.: Investigating the relationship between supply chain innovation, risk management capabilities and competitive advantage in global supply chains. Int. J. Oper. Prod. Manag. 38(1), 2–21 (2018)

    Google Scholar 

  30. Ali, A., Warren, D., Mathiassen, L.: Cloud-based business services innovation: a risk management model. Int. J. Inf. Manag. 37(6), 639–649 (2017)

    Google Scholar 

  31. Penning-Rowsell, E.C., De Vries, W.S., Parker, D.J., Zanuttigh, B., Simmonds, D., Trifonova, E., Hissel, F., Monbaliu, J., Lendzion, J., Ohle, N., Diaz, P.: Innovation in coastal risk management: an exploratory analysis of risk governance issues at eight THESEUS study sites. Coast. Eng. 87, 210–217 (2014)

    Google Scholar 

  32. Sohag, K., Begum, R.A., Abdullah, S.M.S., Jaafar, M.: Dynamics of energy use, technological innovation, economic growth and trade openness in Malaysia. Energy 90, 1497–1507 (2015)

    Google Scholar 

  33. Malecki, E.J.: Technological innovation and paths to regional economic growth. Growth Policy in the Age of High Technology, pp. 97–126. Routledge, Abingdon (2018)

    Google Scholar 

  34. Pradhan, R.P., Arvin, M.B., Hall, J.H., Nair, M.: Innovation, financial development and economic growth in Eurozone countries. Appl. Econ. Lett. 23(16), 1141–1144 (2016)

    Google Scholar 

  35. Pece, A.M., Simona, O.E.O., Salisteanu, F.: Innovation and economic growth: an empirical analysis for CEE countries. Procedia Econ. Financ. 26, 461–466 (2015)

    Google Scholar 

  36. Capello, R., Lenzi, C.: Spatial heterogeneity in knowledge, innovation, and economic growth nexus: conceptual reflections and empirical evidence. J. Reg. Sci. 54(2), 186–214 (2014)

    Google Scholar 

  37. Galindo, M.Á., Méndez, M.T.: Entrepreneurship, economic growth, and innovation: are feedback effects at work? J. Bus. Res. 67(5), 825–829 (2014)

    Google Scholar 

  38. Rafindadi, A.A.: Does the need for economic growth influence energy consumption and CO2 emissions in Nigeria? Evidence from the innovation accounting test. Renew. Sustain. Energy Rev. 62, 1209–1225 (2016)

    Google Scholar 

  39. Song, C., Oh, W.: Determinants of innovation in energy intensive industry and implications for energy policy. Energy Policy 81, 122–130 (2015)

    Google Scholar 

  40. Kamasak, R.: Determinants of innovation performance: a resource-based study. Procedia Soc. Behav. Sci. 195, 1330–1337 (2015)

    Google Scholar 

  41. Pishdar, M.: Application of interval type-2 Fuzzy DEMATEL for evaluation of environmental good governance components. Int. J. Resist. Econ. 3(4), 27–44 (2015)

    Google Scholar 

  42. Baykasoğlu, A., Gölcük, İ.: Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS. Expert Syst. Appl. 70, 37–51 (2017)

    Google Scholar 

  43. Hosseini, M.B., Tarokh, M.J.: Interval type-2 fuzzy set extension of DEMATEL method. Computational Intelligence and Information Technology, pp. 157–165. Springer, Berlin (2011)

    Google Scholar 

  44. Lin, Z.C., Hong, G.E., Cheng, P.: F: a study of patent analysis of LED bicycle light by using modified DEMATEL and life span. Adv. Eng. Inform. 34, 136–151 (2017)

    Google Scholar 

  45. Chen, J.K., Chen, I.: S: A network hierarchical feedback system for Taiwanese universities based on the integration of total quality management and innovation. Appl. Soft Comput. 12(8), 2394–2408 (2012)

    Google Scholar 

  46. Zhu, Q., Sarkis, J., Lai, K.H.: Supply chain-based barriers for truck-engine remanufacturing in China. Transp. Res. Part E Logist. Transp. Rev. 68, 103–117 (2014)

    Google Scholar 

  47. Ahmadi, H., Nilashi, M., Ibrahim, O.: Organizational decision to adopt hospital information system: an empirical investigation in the case of Malaysian public hospitals. Int. J. Med. Inf. 84(3), 166–188 (2015)

    Google Scholar 

  48. Asad, M.M., Mohajerani, N.S., Nourseresh, M.: Prioritizing factors affecting customer satisfaction in the internet banking system based on cause and effect relationships. Procedia Econ. Finan. 36(16), 210–219 (2016)

    Google Scholar 

  49. Wu, H.Y.: Constructing a strategy map for banking institutions with key performance indicators of the balanced scorecard. Eval. Progr. Plann. 35(3), 303–320 (2012)

    Google Scholar 

  50. Dinçer, H., Yüksel, S., Martínez, L.: Analysis of balanced scorecard-based SERVQUAL criteria based on hesitant decision-making approaches. Comput. Ind. Eng. 131, 1–12 (2019)

    Google Scholar 

  51. Qin, J., Liu, X., Pedrycz, W.: An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment. Knowl. Based Syst. 86, 116–130 (2015)

    Google Scholar 

  52. Ghorabaee, M.K., Amiri, M., Sadaghiani, J.S., Zavadskas, E.K.: Multi-criteria project selection using an extended VIKOR method with interval type-2 fuzzy sets. Int. J. Inf. Technol. Decis. Mak. 14(05), 993–1016 (2015)

    Google Scholar 

  53. Liu, K., Liu, Y., Qin, J.: An integrated ANP-VIKOR methodology for sustainable supplier selection with interval type-2 fuzzy sets. Granul. Comput. 3, 1–16 (2018)

    Google Scholar 

  54. Cevik Onar, S., Oztaysi, B., Kahraman, C.: Strategic decision selection using hesitant fuzzy TOPSIS and interval type-2 fuzzy AHP: a case study. Int. J. Comput. Intell. Syst. 7(5), 1002–1021 (2014)

    Google Scholar 

  55. Dymova, L., Sevastjanov, P., Tikhonenko, A.: An interval type-2 fuzzy extension of the TOPSIS method using alpha cuts. Knowl. Based Syst. 83, 116–127 (2015)

    Google Scholar 

  56. Liao, T.W.: Two interval type 2 fuzzy TOPSIS material selection methods. Mater. Des. 88, 1088–1099 (2015)

    Google Scholar 

  57. Sang, X., Liu, X.: An analytical solution to the TOPSIS model with interval type-2 fuzzy sets. Soft. Comput. 20(3), 1213–1230 (2016)

    MATH  Google Scholar 

  58. Gupta, H., Barua, M.: K: A framework to overcome barriers to green innovation in SMEs using BWM and Fuzzy TOPSIS. Sci. Total Environ. 633, 122–139 (2018)

    Google Scholar 

  59. Sun, L.Y., Miao, C.L., Yang, L.: Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method. Ecol. Indic. 73, 554–558 (2017)

    Google Scholar 

  60. Gupta, H., Barua, M.K.: Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS. J. Clean. Prod. 152, 242–258 (2017)

    Google Scholar 

  61. Lu, Z., Gao, Y.: & Zhao, W: A TODIM-based approach for environmental impact assessment of pumped hydro energy storage plant. J. Clean. Prod. 248, 119265 (2020)

    Google Scholar 

  62. Nath, S., Sarkar, B.: Performance evaluation of advanced manufacturing technologies: a De novo approach. Comput. Ind. Eng. 110, 364–378 (2017)

    Google Scholar 

  63. Wu, H.Y., Chen, J.K., Chen, I.S.: Innovation capital indicator assessment of Taiwanese Universities: a hybrid fuzzy model application. Expert Syst. Appl. 37(2), 1635–1642 (2010)

    Google Scholar 

  64. Chen, J.K., Chen, I.: S: Aviatic innovation system construction using a hybrid fuzzy MCDM model. Expert Syst. Appl. 37(12), 8387–8394 (2010)

    Google Scholar 

  65. Yin, S.: & Li, B: Academic research institutes–construction enterprises linkages for the development of urban green building: Selecting management of green building technologies innovation partner. Sustain. Cities Soc. 48, 101555 (2019)

    Google Scholar 

  66. Wu, M., Li, C., Fan, J., Wang, X., Wu, Z.: Assessing the global productive efficiency of Chinese banks using the cross-efficiency interval and VIKOR. Emerg. Mark. Rev. 34, 77–86 (2018)

    Google Scholar 

  67. Liang, D., Zhang, Y., Xu, Z., Jamaldeen, A.: Pythagorean fuzzy VIKOR approaches based on TODIM for evaluating internet banking website quality of Ghanaian banking industry. Appl. Soft. Comput. 78, 583–594 (2019)

    Google Scholar 

  68. Wanke, P., Azad, A.K.: Emrouznejad, A: Efficiency in BRICS banking under data vagueness: a two-stage fuzzy approach. Glob. Financ. J. 35, 58–71 (2018)

    Google Scholar 

  69. Seçme, N.Y., Bayrakdaroğlu, A., Kahraman, C.: Fuzzy performance evaluation in Turkish banking sector using analytic hierarchy process and TOPSIS. Expert Syst. Appl. 36(9), 11699–11709 (2009)

    Google Scholar 

  70. Wanke, P., Azad, M.A.K., Barros, C.P.: Predicting efficiency in Malaysian Islamic banks: a two-stage TOPSIS and neural networks approach. Res. Int. Bus. Financ. 36, 485–498 (2016)

    Google Scholar 

  71. Dinçer, H., Yüksel, S.: An integrated stochastic fuzzy MCDM approach to the balanced scorecard-based service evaluation. Math. Comput. Simul. 166, 93–112 (2019)

    MathSciNet  Google Scholar 

  72. Wu, H.Y., Tzeng, G.H., Chen, Y.: H: A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard. Expert Syst. Appl. 36(6), 10135–10147 (2009)

    Google Scholar 

  73. Chen, S.M., Barman, D.: Adaptive weighted fuzzy interpolative reasoning based on representative values and similarity measures of interval type-2 fuzzy sets. Inf. Sci. 478, 167–185 (2019)

    Google Scholar 

  74. Lee, L.W., Chen, S.M: A new method for fuzzy multiple attributes group decision-making based on the arithmetic operations of interval type-2 fuzzy sets. In: 2008 International conference on machine learning and cybernetics, vol. 6, pp. 3084-3089. IEEE, New York (2008)

  75. Akyuz, E., Celik, E.: A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers. J. Loss. Prev. Process. Ind. 38, 243–253 (2015)

    Google Scholar 

  76. Dinçer, H., Yüksel, S., Martínez, L.: Interval type 2-based hybrid fuzzy evaluation of financial services in E7 economies with DEMATEL-ANP and MOORA methods. Appl. Soft. Comput. 79, 186–202 (2019)

    Google Scholar 

  77. Opricović, S.: VIKOR method. Multicriteria Optimization of Civil Engineering Systems, pp. 142–175. University of Belgrade-Faculty of Civil Engineering, Belgrade (1998)

    Google Scholar 

  78. Yoon, K., Hwang, C.L.: TOPSIS (technique for order preference by similarity to ideal solution)—a Multiple Attribute Decision Making, w: Multiple Attribute Decision Making—Methods and Applications, A State-of-the-at Survey. Springer Verlag, Berlin (1981)

    Google Scholar 

  79. Hartmann, D.: The economic diversification and innovation system of Turkey from a global comparative perspective. International Innovation Networks and Knowledge Migration, pp. 53–71. Routledge, Abingdon (2016)

    Google Scholar 

  80. Fan JP, Huang J, Oberholzer-Gee F, Zhao M: Bureaucrats as managers and their roles in corporate diversification. J. Corp. Financ. (2017)

  81. Kim, N.S., Park, B., Lee, K.D.: A knowledge based freight management decision support system incorporating economies of scale: multimodal minimum cost flow optimization approach. Inf. Technol. Manag. 17(1), 81–94 (2016)

    Google Scholar 

  82. Banoun, A., Dufour, L., Andiappan, M.: Evolution of a service ecosystem: longitudinal evidence from multiple shared services centers based on the economies of worth framework. J. Bus. Res. 69(8), 2990–2998 (2016)

    Google Scholar 

  83. Tsai, J.M., Chang, C.C., Hung, S.W.: Technology acquisition models for fast followers in high-technological markets: an empirical analysis of the LED industry. Technol. Anal. Strateg. Manag. 30(2), 198–210 (2018)

    Google Scholar 

  84. Ernst, H., Conley, J., Omland, N.: How to create commercial value from patents: the role of patent management. R&D Manag. 46(S2), 677–690 (2016)

    Google Scholar 

  85. Cassanelli, A.N., Fernandez-Sanchez, G., Guiridlian, M.C.: Principal researcher and project manager: who should drive R&D projects? R&D Manag. 47(2), 277–287 (2017)

    Google Scholar 

  86. Neimark, B.D.: Biofuel imaginaries: the emerging politics surrounding ‘inclusive’ private sector development in Madagascar. J. Rural Stud. 45, 146–156 (2016)

    Google Scholar 

  87. Witell, L., Snyder, H., Gustafsson, A., Fombelle, P., Kristensson, P.: Defining service innovation: a review and synthesis. J. Bus. Res. 69(8), 2863–2872 (2016)

    Google Scholar 

  88. Tang, T.W., Wang, M.C.H., Tang, Y.Y.: Developing service innovation capability in the hotel industry. Serv. Bus. 9(1), 97–113 (2015)

    Google Scholar 

  89. Grilli, L., Murtinu, S.: Government, venture capital and the growth of European high-tech entrepreneurial firms. Res. Policy 43(9), 1523–1543 (2014)

    Google Scholar 

  90. Hsia, J.W., Chang, C.C., Tseng, A.H.: Effects of individuals’ locus of control and computer self-efficacy on their e-learning acceptance in high-tech companies. Behav. Inf. Technol. 33(1), 51–64 (2014)

    Google Scholar 

  91. Gomez, J., Lanzolla, G., Maicas, J.P.: The role of industry dynamics in the persistence of first mover advantages. Long Range Plan. 49(2), 265–281 (2016)

    Google Scholar 

  92. Wilkie, D.C., Johnson, L.W.: Is there a negative relationship between the order-of-brand entry and market share? Mark. Lett. 27(2), 211–222 (2016)

    Google Scholar 

  93. Romano, G., Guerrini, A., Marques, R.C.: European Water Utility Management: promoting efficiency, innovation and knowledge in the water industry. Water Resour. Manag. 31(8), 2349–2353 (2017)

    Google Scholar 

  94. Carneiro, J., Bamiatzi, V., Cavusgil, S.T.: Organizational slack as an enabler of internationalization: the case of large Brazilian firms. Int. Bus. Rev. 27, 1057–1064 (2018)

    Google Scholar 

  95. Subramanian, A.M., Soh, P.H.: Linking alliance portfolios to recombinant innovation: the combined effects of diversity and alliance experience. Long Range Plan. 50(5), 636–652 (2017)

    Google Scholar 

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The work was partly supported by the Spanish National research project PGC2018-099402-B-I00 and ERDF funds.

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Dinçer, H., Yüksel, S. & Martínez, L. A Comparative Analysis of Incremental and Disruptive Innovation Policies in the European Banking Sector with Hybrid Interval Type-2 Fuzzy Decision-Making Models. Int. J. Fuzzy Syst. 22, 1158–1176 (2020). https://doi.org/10.1007/s40815-020-00851-8

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