Factor and Cluster Analysis as a Tool for Patient Segmentation Applied to Hospital Marketing in Jordan


Hospital marketing is becoming important for the survival and the prosperity of the health service. In addition, it indirectly acts as a formal feedback channel for the customer requirements, preferences, suggestions and complaints. In this work we have undertaken a survey based marketing study for two main objectives: The first being to better understand the patient clusters through k-means clustering and the second to understand customer perception of the different known quality perspectives through factor rotated and unrotated analysis. All of the questionnaires were designed according to international studies. Based on general descriptive statistics, items classified with higher variance but important, are: clean environment, doctors and nurses capabilities, and specialized doctors. Items that are less important with low variance are: food type, lighting and insurance. Also, items classified as more important with low variance are: recommended, no mistakes, and the cost. Using factor analysis rotated and unrotated reduced the variables into five main variables described as: medical aspects, psychological aspects, cost aspects, hospital image and ease of access and procedures. Using k-means clustering, the customers can be clustered into four main clusters with two of them described as general patient with wide variety of interest, serious cases interested in specialized doctors and food, and very serious case with high stress on equipment, no mistakes.

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Al-Durgham, L. and Barghash, M. (2015) Factor and Cluster Analysis as a Tool for Patient Segmentation Applied to Hospital Marketing in Jordan. American Journal of Operations Research, 5, 293-306. doi: 10.4236/ajor.2015.54023.

Conflicts of Interest

The authors declare no conflicts of interest.


[1] Nyman, J. and Bricker, D. (1989) Profit Incentives and Technical Efficiency in the Production of Nursing Home Care. Review of Economics and Statistics, 71, 586-594.
[2] Assaf, A.G. and Josiassen, A. (2012) Time-Varying Production Efficiency in the Health Care Foodservice Industry: A Bayesian Method. Journal of Business Research, 65, 617-625.
[3] Chang, H., Chang, W.-J., Das, S. and Li, S.-H. (2004) Health Care Regulation and the Operating Efficiency of Hospitals: Evidence from Taiwan. Journal of Accounting and Public Policy, 23, 483-510.
[4] Kotler, P. and Armstrong, G. (2004) Principles of Marketing. 10th Edition, Pearson-Prentice Hall, New Jersey.
[5] Kotler, P. and Lane, K.K. (2008) Marketing Management. 12th Edition, Pearson-Prentice Hall, New Jersey.
[6] Ames, B.C. (1970) Trappings vs. Substance in Industrial Marketing. Harvard Business Review, 48, 93-102.
[7] Anderson, E.W. and Mittal, V. (2000) Strengthening the Satisfaction-Profit Chain. Journal of Service Research, 3, 107-120.
[8] Bagozzi, R.P. (1975) Marketing as Exchange. Journal of Marketing, 39, 32-39.
[9] Felton, A.P. (1959) Making the Marketing Concept Work. Harvard Business Review, 37, 55-65.
[10] Grønroos, C. (1990) Marketing Redefined. Management Decision, 28, 5-9.
[11] Kohli, A.K. and Jaworski, B.J. (1990) Market Orientation: The Construct, Research Propositions, and Managerial Implications. Journal of Marketing, 54, 1-18.
[12] Kohli, A.K. and Jaworski, B.J. (1993) Market Orientation: Antecedents and Consequence. Journal of Marketing, 57, 50-70.
[13] Narver, J.H. and Slater, S.F. (1990) The Effect of Market Orientation on Business Profitability. Journal of Marketing, 54, 20-35.
[14] Helgesen, Ø. (2007) Customer Accounting and Customer Profitability Analysis for the Order Handling Industry—A Managerial Accounting Approach. Industrial Marketing Management, 36, 757-769.
[15] Kotler, P. and Armstrong, G. (1996) Principles of Marketing. 7th Edition, Prentice-Hall, Englewood Cliffs.
[16] Berger, P.D. and Nasr, N.I. (1998) Customer Lifetime Value: Marketing Models and Applications. Journal of Interactive Marketing, 12.
[17] Piercy, N.F. (1986) The Role and Function of the Chief Marketing Executive and the Marketing Department: A Study of Medium-Sized Companies in the UK. Journal of Marketing Management, 1, 265-289.
[18] Varadarajan, R.P. (1992) Marketing’s Contribution to the Strategy Dialogue: The View from a Different Looking Glass. Journal of the Academy of Marketing Science, 20, 335-344.
[19] Webster Jr., F.E. (1992) The Changing Role of Marketing in the Corporation. Journal of Marketing, 56, 1-17.
[20] Workman Jr., J.P. (1993) Marketing’s Limited Role in New Product Development in One Computer Systems Firm. Journal of Marketing Research, 30, 405-421.
[21] Hunt, S.D. (1976) The Nature and Scope of Marketing. Journal of Marketing, 40, 17-28.
[22] Walker Jr., O.C. and Ruekert, R. (1987) Marketing’s Role in the Implementation of Business Strategies: A Critical Review and Conceptual Framework. Journal of Marketing, 51, 15-34.
[23] Workman Jr., J.P., Homburg, C. and Gruner, K. (1998) Marketing Organization: An Integrative Framework of Dimensions and Determinants. Journal of Marketing, 62, 21-41.
[24] Moorman, C. and Rust, R.T. (1999) The Role of Marketing. Journal of Marketing, 63, 180-197.
[25] Merlo, O. and Auh, S. (2009) The Effects of Entrepreneurial Orientation, Market Orientation, and Marketing Subunit Influence on Firm Performance. Marketing Letters, 20, 295-311.
[26] Verhoef, P.C. and Leeflang, P.S.H. (2009) Understanding Marketing Department’s Influence within the Firm. Journal of Marketing, 73, 14-37.
[27] Merlo, O. and Auh, S. (2010) Marketing’s Strategic Influence in Australian Firms: A Review and Survey. Australasian Marketing Journal, 18, 49-56.
[28] Filippone, M. (2009) Dealing with Non-Metric Dissimilarities in Fuzzy Central Clustering Algorithms. International Journal of Approximate Reasoning, 50, 363-384.
[29] Lee, W.-I., Shih, B.-Y. and Chung, Y.-S. (2008) The Exploration of Consumers’ Behavior in Choosing Hospital by the Application of Neural Network. Expert Systems with Applications, 34, 806-816.
[30] Briggs, S.R. and Cheek, J.M. (1986) The Role of Factor Analysis in the Development and Evaluation of Personality Scales. Journal of Personality, 54, 106-148.
[31] Koerner, M.M. (2000) The Conceptual Domain of Service Quality for Inpatient Nursing Services. Journal of Business Research, 48, 267-283.
[32] Steenkamp, J.B.E.M. and Ter Hofstede, F. (2002) International Market Segmentation: Issues and Perspectives. International Journal of Research in Marketing, 19, 185-213.
[33] Aulakh, P.S. and Kotabe, M. (1993) An Assessment of Theoretical and Methodological Development in International Marketing: 1980-1990. Journal of International Marketing, 1, 5-28.
[34] Naes, T., KubberØd, E. and Sivertsen, H. (2001) Identifying and Interpreting Market Segments Using Conjoint Analysis. Food Quality and Preference, 12, 133-143.
[35] Andrews, R.L. and Currin, I.S. (2003) Recovering and Profiling the True Segmentation Structure in Markets: An Empirical Investigation. International Journal of Research in Marketing, 20, 177-192.
[36] Sepúlveda, W.S., Maza, M.T. and Mantecón, A.R. (2010) Factors Associated with the Purchase of Designation of Origin Lamb Meat. Meat Science, 85, 167-173.
[37] Carbonell, L., Izquierdo, L., Carbonell, I. and Costell, E. (2008) Segmentation of Food Consumers According to Their Correlations with Sensory Attributes Projected on Preference Spaces. Food Quality and Preference, 19, 71-78.
[38] Fonti Furnols, M., San Julián, R., Guerrero, L., Sañudo, C., Campo, M.M., Olleta, J.L., et al. (2006) Acceptability of Lamb Meat from Different Producing Systems and Ageing Time to German, Spanish and British Consumers. Meat Science, 72, 545-554.
[39] Oliver, M.A., Nute, G.R., Fonti Furnols, M., San Julián, R., Campo, M.M., Sañudo, C., et al. (2006) Eating Quality of Beef from Different Production Systems, Assessed by German, Spanish and British Consumers. Meat Science, 74, 422- 435.
[40] Realini, C.E., Fonti Furnols, M., Guerrero, L., Campo, M.M., Sañudo, C., Nute, G.R., et al. (2009) Effect of Finishing Diet on Consumer Acceptability of Uruguayan Beef in the European Market. Meat Science, 81, 499-506.
[41] Verbeke, W., Pérez-Cueto, F.J.A., de Barcellos, M.D., Krystallis, A. and Grunert, K.G. (2009) European Citizen and Consumer Attitudes and Preferences regarding Beef and Pork. Meat Science, 84, 284-292.
[42] Fonti Furnols, M., Realini, C., Montossi, F., Sañudo, C., Campo, M.M., Oliver, M.A., Nute, G.R. and Guerrero, L. (2011) Consumer’s Purchasing Intention for Lamb Meat Affected by Country of Origin, Feeding System and Meat Price: A Conjoint Study in Spain, France and United Kingdom. Food Quality and Preference, 22, 443-451.

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