Using DEMATEL – ANP hybrid algorithm approach to select the most effective dimensions of CRM on innovation capabilities


Phd student,department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran


Customer relationship management (CRM) and innovation are widely considered to be valuable capabilities associated with competitive advantage. CRM is a comprehensive guideline and process of management and data sharing with key customers to prompt supreme values of partnership and customers. Innovation is an important factor in setting successful mature firms apart from their competitors. Innovation capability assessments are methods to evaluate the innovation capability of enterprises, in particular, for the identification of their strengths, the improvement of their potentials, and for a good basis for a sustainable improvement of the innovation capability. The propose of this study is choosing the most effective dimensions of CRM by using the hybrid approach of Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP). Thus, based on experiences of the industry firm, we draw the causal relations among innovation capabilities using DEMATEL mathematical model and determine their effects on each other. Then based on these causal relations, we choose the most effective dimensions of CRM by using the ANP model. At the result, “long-term cooperation” has the best score and can be said that it is the most effective dimensions and And then respectively followed by Customer relationship management technology-oriented, Customer participation, information sharing and consultation on problems.


Battor, M. and Battor, M. (2010). “The impact of customer relationship management capability on innovation and performance advantages: testing a mediated model”, Journal of Marketing Management. Vol. 26, No. 9–10, pp. 842–857.

Becker, J.U., Greve, G. and Albers, S. (2009). “The impact of technological and organizational implementation of CRM on customer acquisition, maintenance, and retention”. Int. J. Res. Market, Vol. 26, No. 3, pp. 207–215.

Bose, R. (2002). “Customer relationship management: key components for IT success”. Industrial Management and Data Systems, Vol. 102, No. 2, pp. 89-97.

Chang, S. and Lee, M.S. (2008). “The linkage between knowledge accumulation capability and organizational innovation”, Journal of Knowledge Management, Vol. 12, No. 1, pp. 3-20.

Chen, I.J. and Popovich, K. (2003). “Understanding customer relationship management (CRM): People processes and technology”. Business Process Management Journal, Vol. 9, No. 5, pp. 672–688.

Cohen,W.M. and Levinthal, D.A. (1990). “Absorptive capacity: a new perspective on learning and innovation”, Administrative Science Quarterly, Vol. 35, No. 1, pp. 128-152.

Daft, R.L. (1982). Bureaucratic versus non-bureaucratic structure and the process of innovation and change, in Bacharach, S.B. (Ed.), Research in the Sociology of Organizations, Vol. 1, JAI Press, Greenwich, CT, 129-66.

Damanpour, F. (1991). “Organizational innovation: a meta-analysis of effects of determinants and moderators”, Academy of Management Journal, Vol. 34, No. 3, pp. 555-590.

Damanpour, F. (1992). “Organizational size and innovation”, Organization Studies, Vol. 13, No. 3, pp. 375-402.

Damanpour, F. (1996). “Organizational complexity and innovation: developing and testing multiple contingency models”, Management Science, Vol. 42, No. 5, pp. 693-716.

Damanpour, F. and Evan, W.E. (1984). “Organizational innovation and performance: the problem of organizational lag”, Administrative Science Quarterly, Vol. 29, No. 3, pp. 392-409.

Droge, C., Jayaram, J. and Vickery, S.K. (2004). “The effects of internal versus external integration practices on time-based performance and overall firm performance”, Journal of Operations Management, Vol. 22, No. 6, pp. 557-573.

Fontela, E., Gabus, A. (1976). The DEMATEL Observer, DEMATEL 1976 Report. Switzerland, Geneva: Battelle Geneva Research Center.

Fruhling, A.L. and Siau, K. (2007). “Assessing organizational innovation capability and its effect on e-commerce initiatives”, The Journal of Computer Information Systems, Vol. 48, No. 1, pp. 133-145.

Foss, B., Stone, M. and Ekinci, Y. (2008). “What makes for CRM system success or failure?”. J. Database Market. Customer Strat. Manage, Vol. 15, No. 2, pp. 68–78.

Gabus, A. and Fontela, E. (1973). Perceptions of the world problematique: Communication procedure, communicating with those bearing collective responsibility, DEMATEL report No. 1. Geneva, Switzerland: Battelle Geneva Research Center.

Gopalakrishnan, S. and Damanpour, F. (1997). “A review of innovation research in economics, sociology and technology management”, Omega, Vol. 25, No. 1, pp. 147-166.

Green, S.G., Gavin, M.B. and Aiman-Smuth, L. (1995). “Assessing a multidimensional measure of radical technological innovation”, IEEE Transactions in Engineering Management, Vol. 42, No. 3, pp. 203-214.

Handfield, R.B. and Bechtel, C. (2002). “The role of trust and relationship structure in improving supply chain responsiveness”, Industrial Marketing Management, Vol. 31, No. 4, pp. 367-382.

Janbozorgi, F. and Moballeghi, M., (2015). “Evaluating the Readiness of Hotels in Terms of Inter-Organizational Factors In Order To Implement CRM Using Fuzzy Approach”. International Journal of Review in Life Sciences, Vol. 5, No. 8, pp. 614-621.

Kalakota, R., and Robinson, M. (1999). E-business roadmap for success. Boston, MA:Addison-Wesley.

Ko, E., Kim, S.H., Kim, M., and Woo, J.Y. (2008). “Organizational characteristics and the CRM adoption process”. Journal of Business Research, Vol. 61, No. 1, pp. 65–74.

Kotler, P. (1997). Marketing management: analysis, planning, implementation and control. Englewood-Cliffs, NJ: Prentice-Hall.

Liao, S.H., Fei, W.C. and Chen, C.C. (2007). “Knowledge sharing, absorptive capacity, and innovation capability: an empirical study of Taiwan’s knowledge-intensive industries”, Journal of Information Science, Vol. 33, No. 3, pp. 340-359.

Lin, R-J, Chen, R-H., Chiu, Kevin K-Sh. (2009). “Customer relationship management and innovation capability: an empirical study”. industrial Management & data Systems, Vol. 110, No. 1, pp. 111-133.

McEvily, B. and Marcus, A. (2005). “Embedded ties and the acquisition of competitive capabilities”, Strategic Management Journal, Vol. 26, No. 11, pp. 1033-1055.

Miri-Nargesi, S.S., Keramati, A., Haleh, H. and Ansarinejad, A. (2011). “Assessing organizational readiness to implement customer relationship management using fuzzy analytical network process: a case study”, international journal of academic research, Vol. 3, No. 3, pp. 409-418.

Mentzer, J.T., Min, S. and Zacharia, Z.G. (2000). “The nature of inter-firm partnering in supply chain management”, Journal of Retailing, Vol. 76, No. 4, pp. 549-568.

Mohr, J. and Spekman, R. (1994). “Characteristics of partnership success: partnership attributes, communication behavior, and conflict resolution techniques”, Strategic Management Journal, Vol. 15, No. 2, pp. 135-152.

Oztaysi, B. and Ucal, I. (2009). Comparison of MADM techniques usage in performance measurement, In: Proceedings of 10th annual international symposium on the analytical hierarchy process. Ramani, G. and Kumar, V. (2008). “Interaction orientation and firm performance”, Journal of Marketing, Vol. 72, No. 1, pp. 27-45.

Reinartz, W., Krafft, M., and Hoyer, W.D. (2004). “The Customer Relationship Management Process: Its Measurement and Impact on Performance”, Journal of Marketing Research, Vol. 41, No. 3, pp. 293-313.

Saaty, T.L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process, Pittsburgh, PA: RWS Publications.

Saaty, T.L. (1999). Fundamentals of the Analytic Network Process, ISAHP, Kobe, August, 12-14.

Saaty, T.L. (2001). Making with Dependence and Feedback, 2nd edi., RWS Publication.

Saaty, T.L. (2005). Theory and Applications of the Analytic Network Process: Decision Making with Benefits, Opportunities, Costs, and Risks, RWS Publications, Pittsburg, PA, USA.

Saeidipour, B. and Ismaeli, S. (2011). “A study of how to implement a successful CRM by identifying challenges using DEMATEL method: An empirical study on small to medium business units”, Management Science Letters, Vol. 2, No. 1, pp. 363–368.

Šen, H., Begičević, N. and Gerić, S. (2011). Decision making on customer relationship management solution using the analytic network process, Proceedings of the International Conference on Information Technology Interfaces, ITI, Article number 92, 439-444.

Shahhosseini bideh, S., morovati shariabadi, A. and zanjirchi, S., (2015). “The comparison of organization's performance on Customer Relationship Management (CRM) implementation using an integrative approach of Fuzzy ANP and DEMATEL”, New Marketing Research. Vol. 4, No. 4, pp. 195-212.

Sin, L.Y.M., Tse, A.C.B. and Yim, F.H.K. (2005). “CRM: conceptualization and scale development”, European Journal of Marketing, Vol. 39, No. 11/12, pp. 1264-1290.

Tamura, M., Nagata, H. and Akazawa, K. (2002). Extraction and systems analysis of factors that prevent safety and security by structural models. In 41st SICE annual conference, Osaka, Japan.

Toma, m., Mihoreanu, l. and Ionescu, a. (2014). “Innovation capability and customer relationship management: a review”. Economics, management, and financial markets, Vol. 9, No. 4, pp. 323–331.

Tzeng, G. H., Chiang, C. H. and Li, C. W. (2007). “Evaluating intertwined effects in Elearning programs: A novel hybrid MCDM model based on factor analysis and DEMATEL”. Expert Systems with Applications, Vol. 32, No. 4, pp. 1028–1044.

Vorhies, D.W. and Harker, M. (2000). “The capabilities and performance advantages of market-driven firms: an empirical investigation”, Australian Journal of Management, Vol. 25, No. 2, pp. 145-171.

Weerawardena, J. (2003). “Exploring the role of market learning capability in competitive strategy”, European Journal of Marketing, Vol. 37, No. 3/4, pp. 407-430.