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

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.

[1]  Yongmei Bentley,et al.  The debate on flexibility of environmental regulations, innovation capabilities and financial performance : a novel use of DEA , 2018 .

[2]  Andreas Hinterhuber,et al.  Is innovation in pricing your next source of competitive advantage , 2014 .

[3]  Cengiz Kahraman,et al.  Strategic Decision Selection Using Hesitant fuzzy TOPSIS and Interval Type-2 Fuzzy AHP: A case study , 2014, Int. J. Comput. Intell. Syst..

[4]  Hung-Yi Wu,et al.  Constructing a strategy map for banking institutions with key performance indicators of the balanced scorecard. , 2012, Evaluation and program planning.

[5]  Meena Andiappan,et al.  Evolution of a service ecosystem: Longitudinal evidence from multiple shared services centers based on the economies of worth framework , 2016 .

[6]  Xinwang Liu,et al.  An analytical solution to the TOPSIS model with interval type-2 fuzzy sets , 2016, Soft Comput..

[7]  Adil Baykasolu,et al.  Development of an interval type-2 fuzzy sets based hierarchical MADM model by combining DEMATEL and TOPSIS , 2017, Expert Syst. Appl..

[8]  D. Mare,et al.  Competition and Financial Stability in European Cooperative Banks , 2013 .

[9]  Shyi-Ming Chen,et al.  Adaptive weighted fuzzy interpolative reasoning based on representative values and similarity measures of interval type-2 fuzzy sets , 2019, Inf. Sci..

[10]  M. Galindo,et al.  Entrepreneurship, economic growth, and innovation: Are feedback effects at work? , 2014 .

[11]  Qinghua Zhu,et al.  Supply chain-based barriers for truck-engine remanufacturing in China , 2014 .

[12]  Bijan Sarkar,et al.  Performance evaluation of advanced manufacturing technologies: A De novo approach , 2017, Comput. Ind. Eng..

[13]  Li Yang,et al.  Ecological-economic efficiency evaluation of green technology innovation in strategic emerging industries based on entropy weighted TOPSIS method , 2017 .

[14]  Olga Oyner,et al.  The influence of customer engagement in value co-creation on customer satisfaction: Searching for new forms of co-creation in the Russian hotel industry , 2016 .

[15]  Bart Van Looy,et al.  Technology Alliance Portfolios and Financial Performance: Value-Enhancing and Cost-Increasing Effects of Open Innovation* , 2010 .

[16]  I-Shuo Chen,et al.  Aviatic innovation system construction using a hybrid fuzzy MCDM model , 2010, Expert Syst. Appl..

[17]  Samuele Murtinu,et al.  Government, Venture Capital and the Growth of European High-Tech Entrepreneurial Firms , 2014 .

[18]  P. Wanke,et al.  Efficiency in BRICS banking under data vagueness: A two-stage fuzzy approach , 2018 .

[19]  H. Tikkanen,et al.  Business model innovation vs replication: financial performance implications of strategic emphases , 2010 .

[20]  Jindong Qin,et al.  An integrated ANP-VIKOR methodology for sustainable supplier selection with interval type-2 fuzzy sets , 2018 .

[21]  Barbara Zanuttigh,et al.  Innovation in coastal risk management: An exploratory analysis of risk governance issues at eight THESEUS study sites , 2014 .

[22]  T. Anning-Dorson.  Innovation and competitive advantage creation , 2018, International Marketing Review.

[23]  Jaime Gómez,et al.  The Role of Industry Dynamics in the Persistence of First Mover Advantages , 2016 .

[24]  Fernando Gomide,et al.  Granular approximation of solutions of partial differential equations with fuzzy parameter , 2018 .

[25]  Mehrbakhsh Nilashi,et al.  Organizational decision to adopt hospital information system: An empirical investigation in the case of Malaysian public hospitals , 2015, Int. J. Medical Informatics.

[26]  Ya-Yun Tang,et al.  Developing service innovation capability in the hotel industry , 2015 .

[27]  ChenYang,et al.  IT capabilities and product innovation performance , 2015 .

[28]  Maria Elena Baltazar Herrera.  Creating competitive advantage by institutionalizing corporate social innovation , 2015 .

[29]  John P. Rice,et al.  Innovation investments, market engagement and financial performance: A study among Australian manufacturing SMEs , 2010 .

[30]  Mohsen Mazaheri Asad,et al.  Prioritizing Factors Affecting Customer Satisfaction in the Internet Banking System Based on Cause and Effect Relationships , 2016 .

[31]  Himanshu Gupta,et al.  A framework to overcome barriers to green innovation in SMEs using BWM and Fuzzy TOPSIS. , 2018, The Science of the total environment.

[32]  B. Neimark,et al.  Biofuel imaginaries: The emerging politics surrounding ‘inclusive’ private sector development in Madagascar , 2016 .

[33]  Y. Lun,et al.  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 , 2016 .

[34]  Mohammad Jafar Tarokh,et al.  Interval Type-2 Fuzzy Set Extension of DEMATEL Method , 2011 .

[35]  Pavel V. Sevastjanov,et al.  An interval type-2 fuzzy extension of the TOPSIS method using alpha cuts , 2015, Knowl. Based Syst..

[36]  Julia C. Naranjo-Valencia,et al.  Studying the links between organizational culture, innovation, and performance in Spanish companies , 2016 .

[37]  T. Liao,et al.  Two interval type 2 fuzzy TOPSIS material selection methods , 2015 .

[38]  Wenhui Zhao,et al.  A TODIM-based approach for environmental impact assessment of pumped hydro energy storage plant , 2020 .

[39]  Chia-Chi Chang,et al.  Effects of individuals' locus of control and computer self-efficacy on their e-learning acceptance in high-tech companies , 2014, Behav. Inf. Technol..

[40]  Mahsa Pishdar,et al.  Application of Interval Type-2 Fuzzy DEMATEL for Evaluation of Environmental Good Governance Components , 2015 .

[41]  Abdulkadir Abdulrashid Rafindadi.  Does the need for economic growth influence energy consumption and CO2 emissions in Nigeria? Evidence from the innovation accounting test , 2016 .

[42]  L. Johnson,et al.  Is there a negative relationship between the order-of-brand entry and market share? , 2016 .

[43]  Luis Martínez-López,et al.  Interval type 2-based hybrid fuzzy evaluation of financial services in E7 economies with DEMATEL-ANP and MOORA methods , 2019, Appl. Soft Comput..

[44]  Morgan P. Miles,et al.  Exploring market orientation, innovation, and financial performance in agricultural value chains in emerging economies , 2017, Journal of Innovation & Knowledge.

[45]  Ahmet H. Kirca,et al.  You gotta serve somebody: the effects of firm innovation on customer satisfaction and firm value , 2017 .

[46]  A. Pece,et al.  Innovation and Economic Growth: An Empirical Analysis for CEE Countries , 2015 .

[47]  Carl Marcus Wallenburg,et al.  The role of customer relations for innovativeness and customer satisfaction: A comparison of service industries , 2015 .

[48]  Serhat Yüksel,et al.  An integrated stochastic fuzzy MCDM approach to the balanced scorecard-based service evaluation , 2019, Math. Comput. Simul..

[49]  Robert C. Merton,et al.  Financial Innovation And Economic Performance , 1992 .

[50]  I-Shuo Chen,et al.  A network hierarchical feedback system for Taiwanese universities based on the integration of total quality management and innovation , 2012, Appl. Soft Comput..

[51]  Luis Martínez-López,et al.  Analysis of balanced scorecard-based SERVQUAL criteria based on hesitant decision-making approaches , 2019, Comput. Ind. Eng..

[52]  Future Directions and Trends , 2004 .

[53]  Witold Pedrycz,et al.  An extended VIKOR method based on prospect theory for multiple attribute decision making under interval type-2 fuzzy environment , 2015, Knowl. Based Syst..

[54]  Janet R. McColl-Kennedy,et al.  The central role of knowledge integration capability in service innovation-based competitive strategy , 2019, Industrial Marketing Management.

[55]  Edmundas Kazimieras Zavadskas,et al.  Multi-Criteria Project Selection Using an Extended VIKOR Method with Interval Type-2 Fuzzy Sets , 2015, Int. J. Inf. Technol. Decis. Mak..

[56]  Roberta Capello,et al.  Spatial Heterogeneity in Knowledge, Innovation, and Economic Growth Nexus: Conceptual Reflections and Empirical Evidence , 2014 .

[57]  Cengiz Kahraman,et al.  Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS , 2009, Expert Syst. Appl..

[58]  S. Cavusgil,et al.  Organizational slack as an enabler of internationalization: The case of large Brazilian firms , 2018, International Business Review.

[59]  A. Gustafsson,et al.  Defining service innovation: A review and synthesis , 2016 .

[60]  Gang Kou,et al.  IT capabilities and product innovation performance: The roles of corporate entrepreneurship and competitive intensity , 2015, Inf. Manag..

[61]  Himanshu Gupta,et al.  Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS , 2017 .

[62]  C. Barros,et al.  Predicting efficiency in Malaysian Islamic banks: A two-stage TOPSIS and neural networks approach , 2016 .

[63]  Byungkyu Brian Park,et al.  A knowledge based freight management decision support system incorporating economies of scale: multimodal minimum cost flow optimization approach , 2016, Inf. Technol. Manag..

[64]  Lei Xu,et al.  Technology Innovation-Oriented Complex Product Systems R&D Investment and Financing Risk Management: An Integrated Review , 2017 .

[65]  Rawshan Ara Begum,et al.  Dynamics of energy use, technological innovation, economic growth and trade openness in Malaysia , 2015 .

[66]  Mak B. Arvin,et al.  Innovation, financial development and economic growth in Eurozone countries , 2016 .

[67]  Shyi-Ming Chen,et al.  A new method for fuzzy multiple attributes group decision-making based on the arithmetic operations of interval type-2 fuzzy sets , 2008, 2008 International Conference on Machine Learning and Cybernetics.

[68]  Wankeun Oh,et al.  Determinants of innovation in energy intensive industry and implications for energy policy , 2015 .

[69]  Xiaoning Liang,et al.  Customer value anticipation, product innovativeness, and customer lifetime value: The moderating role of advertising strategy , 2016 .

[70]  Meiqin Wu,et al.  Assessing the global productive efficiency of Chinese banks using the cross-efficiency interval and VIKOR , 2017 .

[71]  G. Ioannou,et al.  Absorptive capacity, innovation, and financial performance , 2011 .

[72]  Joseph P. H. Fan,et al.  Bureaucrats as managers and their roles in corporate diversification , 2017 .

[73]  Zeshui Xu,et al.  Pythagorean fuzzy VIKOR approaches based on TODIM for evaluating internet banking website quality of Ghanaian banking industry , 2019, Appl. Soft Comput..

[74]  I-Shuo Chen,et al.  Innovation capital indicator assessment of Taiwanese Universities: A hybrid fuzzy model application , 2010, Expert Syst. Appl..

[75]  Bruce Gurd,et al.  Looking for leaders: ‘Balancing’ innovation, risk and management control systems , 2017 .

[76]  H. Ernst,et al.  How to Create Commercial Value from Patents: The Role of Patent Management , 2016 .

[77]  Juin-Ming Tsai,et al.  Technology acquisition models for fast followers in high-technological markets: an empirical analysis of the LED industry , 2018, Technol. Anal. Strateg. Manag..

[78]  Yi-Hsuan Chen,et al.  A fuzzy MCDM approach for evaluating banking performance based on Balanced Scorecard , 2009, Expert Syst. Appl..

[79]  Erkan Celik,et al.  A fuzzy DEMATEL method to evaluate critical operational hazards during gas freeing process in crude oil tankers , 2015 .

[80]  G. Fernández-Sánchez,et al.  Principal Researcher and Project Manager: Who Should Drive R&D Projects? , 2017 .

[81]  A. M. Subramanian,et al.  Linking alliance portfolios to recombinant innovation: The combined effects of diversity and alliance experience , 2017 .

[82]  Baizhou Li,et al.  Academic research institutes-construction enterprises linkages for the development of urban green building: Selecting management of green building technologies innovation partner , 2019, Sustainable Cities and Society.

[83]  D. Rodionov,et al.  Risk Management of Innovation Projects in the Context of Globalization , 2015 .

[84]  Zone-Ching Lin,et al.  A study of patent analysis of LED bicycle light by using modified DEMATEL and life span , 2017, Adv. Eng. Informatics.

[85]  Lars Mathiassen,et al.  Cloud-based business services innovation: A risk management model , 2017, Int. J. Inf. Manag..

[86]  Alireza Khorakian,et al.  Integrating risk management in the innovation project , 2014 .

[87]  James R. Dewald,et al.  Explorative versus Exploitative Business Model Change: The Cognitive Antecedents of Firm-Level Responses to Disruptive Innovation , 2015 .

[88]  Angappa Gunasekaran,et al.  Innovative service satisfaction and customer promotion behaviour in the Chinese budget hotel: an empirical study , 2016 .

[89]  Robert John Mason,et al.  Investigating the relationship between supply chain innovation, risk management capabilities and competitive advantage in global supply chains , 2018 .

[90]  Rifat Kamasak,et al.  Determinants of innovation Performance: A Resource-based Study , 2015 .

[91]  S. Zahra,et al.  INNOVATION STRATEGY AND FINANCIAL PERFORMANCE IN MANUFACTURING COMPANIES: AN EMPIRICAL STUDY , 1993 .