EVALUATION OF CUSTOMER RELATIONSHIP MANAGEMENT (CRM) SYSTEMS FOR SMALL SERVICE BUSINESSES

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published May 10, 2017
Shannon Agredo Enrique Mu Catherine Vella

Abstract

Although several Customer Relationship Management (CRM) evaluation frameworks have been developed in the past years, they are usually complex, oriented toward large organizations and from the firm’s perspective only. This study proposes a CRM evaluation model which is simple for a small business to use and takes into account three different perspectives: the business, the staff and the customer. The need for this model arose when one of the co-authors had to evaluate and select a CRM system suitable for a small business. Also, although the evaluation will be done within the context of a specific business, this model and the multiple perspective approach can be used with minimum modifications as an evaluation and reference tool for other CRM decision-makers in small service businesses. 

 

https://doi.org/10.13033/ijahp.v9i1.473

How to Cite

Agredo, S., Mu, E., & Vella, C. (2017). EVALUATION OF CUSTOMER RELATIONSHIP MANAGEMENT (CRM) SYSTEMS FOR SMALL SERVICE BUSINESSES. International Journal of the Analytic Hierarchy Process, 9(1). https://doi.org/10.13033/ijahp.v9i1.473

Downloads

Download data is not yet available.
Abstract 3715 | PDF Downloads 560

##plugins.themes.bootstrap3.article.details##

Keywords

customer relationship management, CRM evaluation, AHP, CRM perspectives

References
Ali, A. (2015). An MCDM approach towards m-payment business models evaluation. International Journal of the Analytical Hierarchy Process, 7(2), 273-294. DOI: http://dx.doi.org/10.13033/ijahp.v7i2.298

Baran, R. J., & Galkla, R. J. (2017). Customer relationship management: the foundation of contemporary marketing strategy. New York: Routledge.

Colombo, E., & Francalanci, C. (2004). Selecting CRM packages based on architectural, functional, and cost requirements: Empirical validation of a hierarchical ranking model. Requirements Engineering, 9(3, 186-203. Doi:10.1007/s00766-003-0184-y

Chang, J., Yen, D. C., Young, D., & Yuan-Ku, C. (2015). Critical issues in CRM adoption and implementation. InderScience Online. International Journal of Services Technology and Management. 3(3), 311-324. Doi: http://dx.doi.org/10.1504/IJSTM.2002.001633

Friedrich, I., Breitner, M. H., & Sprenger, J. (2011). Discussion and validation of a CRM system selection approach with experts. AMCIS Proceedings.

Friedrich, I., Kosch, L., Breitner, MH. (2012). A practical test of a process model for customer relationship management system selection with an automotive supplier. ECIS 2012 Proceedings. Paper 21.

Ghavami, A., & Olyaei, A. (2006). The impact of CRM on customer retention. Lulea University Master Thesis.

Goldenberg, B. J. (2008). CRM In real time: Empowering customer relationships. New Jersy: Information Today Inc.

Jadhav, A. S., & Sonar, R. M. (2009). Evaluating and selecting software packages: A review. Information and Software Technology, 51(3), 555-563. Doi:10.1016/j.infsof.2008.09.003

Jain, J., & Bakul, R., (2013). Application of AHP tool for decision making of choice of technology for extraction of anti-cancer bioactive compounds of plant origin. International Journal of the Analytic Hierarchy Process, 5(1), 3-29. Doi: http://dx.doi.org/10.13033/ijahp.v5i1.153

Jones, P. (2013). A guide to selecting the best CRM solution for your small business. ERP Cloud News.

Kermati, A., & Shapouri, F. (2016). Multidimensional appraisal of customer relationship management: integrating balanced scorecard and multi criteria decision making approaches. Information Systems and e-Business Management, 14(2), 217-251. Doi:10.1007/s10257-015-0281-8

Kostojohn, S. (2011). Evaluating software and consultants. CRM Fundamentals, 65-92. Doi:10.1007/978-1-4302-3591-0_4
Lee, Y., Tang, N., & Sugumaran, V. (2014). Open source CRM software selection using the Analytical Hierarchy Process. Information Systems Management, 31(1), 2-20. Doi: http://dx.doi.org/10.1080/10580530.2013.854020

MilleniumIT (2017). Retrieved from http://www.millenniumit.com/what-we-do/systems-integration/our-business-areas/customer-relationship-management

Mikal (2017). Retrieved from http://www.mikal-salon-software.com

Min, H. (1992). Selection of software: the Analytic Hierarchy Process.
International Journal of Physical Distribution and Logistics Management, 22(1), 42-52

Mu, E. and Pereyra-Rojas, M. (2017). Practical decision making: An introduction to the Analytic Hierarchy Process using Super Decisions. Springer: N.Y.

Pedron, C. D., Picoto, W. N., Dhillon, G., & Caldeira, M. (2016). Value-focused objectives for CRM system adoption. Industrial Management & Data Systems,116(3), 526-545. Doi:10.1108/imds-01-2015-0018

Pollard, et al. (2006). Simplified Framework of CRM. Journal of Information Technology Case and Application Research, 8(2), 24-38. http://dx.doi.org/10.1080/15228053.2006.10856087

Rigby, D. K., Reichheld, F., & Dawson, C. (2003). Winning customer loyalty is the key to winning CRM strategy. Ivey Business Journal, 519, 2.

Saaty, T. L. and Mu, E. (1997). The Peruvian hostage crisis of 1996-1997: What should the government do? Socio-Economic Planning Sciences: The International Journal of Public Sector Decision-Making, 31 (3), 165-172. Doi: https://doi.org/10.1016/S0038-0121(97)00015-3

Saaty, T. L. and Ozdemir, M. S. (2005). The Encyclicon: A dictionary of decisions with dependence and feedback based on the Analytic Network Process. Pittsburgh, PA RWS Publications.

Saaty, T.L., & Peniwati, K. (2007). Group decision-making: Drawing out and reconciling differences. Pittsburgh, PA: RWS Publications.

Salon Iris (2017). Retrieved from https://www.saloniris.com

Super Decisions (2017). Retrieved from http://www.superdecisions.com
Section
Articles