Classifying Variables with Cluster Analysis when Measuring Quality of Services in Contact Centers

• Autorzy: Aleksander Lotko
• Języki publikacji: EN

Abstrakty

EN

The goal of the paper was to discover, whether using one of multidimensional exploratory techniques - cluster analysis in quantifying quality of services in contact centers brings logical classification of variables and if this classification can be used and measure quality of these services. On a basis of literature studies important attributes of services delivered by contact centers were identified. They were examined as observable variables with the use of a computer assisted telephone interview method on a sample of 1000 contact center customers. Then, variables were classified using cluster analysis. Clusters link observed data into meaningful structures, that is, develop taxonomies. Using factor analysis to quantify and measure quality of contact centers allowed to distinguish the following clusters: "answer", "empathy", "availability" and "time". The profile of contact center services quality obtained from cluster analysis shows that the highest quality assessment is for the cluster "answer", then for "availability". The quality concerning cluster "empathy" is visibly lower, while the cluster "time" is of decidedly the lowest quality assessment. Proposition of classifying variables into clusters creates a theoretical model which quantify quality of services delivered by contact centers and make its structure more comprehensible. In practice, a proposed classification allows to identify quality gaps and design contact centers services with a special attention paid to the matters of quality to meet customers' expectations. The paper's contribution is a novel way of quantifying and measuring quality of services in contact centers.(original abstract)

Słowa kluczowe

EN

Contact center; Quality of services; Cluster analysis

PL

Contact center; Jakość usług; Analiza skupień

• Czasopismo: Central European Review of Economics & Finance
• Rocznik: 2014
• Numer: Vol. 5, No 2
• Strony: 5--16

Twórcy

autor

Aleksander Lotko

• Kazimierz Pułaski University of Technology and Humanities in Radom, Poland

Bibliografia

• Anton, J. (1994). Call Center Design and Implementation. Houston: Dame Publications.
• Anton, J. (1997). Call Center Management: By the Numbers. Purdue University: Ichor Business Books.
• Bacher, J. (1996). Clusteranalyse. Munchen: Oldenburg.
• Bartsch, S. (2012). Superior Customer Experience in Voice-to-Voice Encounters. Munchen: FGM-Verlag.
• Bird, J. (1998). Dial O for Opportunity. Marketing, 29 (October).
• Bittner, M. (1990). Evaluating service encounters: the effects of physical surroundings and employee responses. Journal of Marketing, 54 (April).
• Bowen, D. and Lawler, E. (1992). The empowerment of service workers: what, why, how, and when. Sloan Management Review, 33.
• Broderick, A. and Vachirapornpuk, S. (2002). Service quality in internet banking: the importance of customer role. Marketing Intelligence & Planning, 20(6).
• Burgers, A., et al. (2000). Customer expectation dimensions of voice-to-voice service encounters: A scale development study. International Journal of Service Industry Management, 1(2).
• Cattell, R. (1944). A note on correlation clusters and cluster search methods. Psychometrica, 9.
• Chen, I., Gupta, A. and Rom, W. (1944). A Study of Price and Quality in Service Operations. International Journal of Service Industry Management, 5(2).
• Dalrymple, J. and Phipps, K. (1999). Call Centres - an Innovation in Service Quality: Access is a Quality Issue. In: TQM & Innovation - Proceedings of the 4th International Conference on ISO 9000 & TQM. Hong Kong Baptist University, Hong Kong.
• Deloitte (2013), Global Call Center Survey Results 2013.
• Feinberg, R., de Ruyter, K. and Bennington, L. (2005). Cases in Call Center Management. Purdue University: Ichor Business Books.
• Gilmore, A. (2001). Call Centre Management: is service quality a priority. Managing Service Quality, 11(3).
• Gore, P. (2000). Cluster Analysis. In: Tinsley, H. and Brown, S. (Ed.). Handbook of Applied Multivariate Statistics and Mathematical Modelling. San Diego: Academic Press.
• Hill, N. and Alexander, J. (2003). Pomiar satysfakcji i lojalności klientów. Krakow: Oficyna Ekonomiczna.
• Horowitz, J. (2006). Strategia obsługi klienta. Warszawa: PWE.
• Johnson, L., Dotson, M. and Dunlap, B. (1988). Service Quality Determinants and Effectiveness in the Real Estate Brokerage Industry. Journal of Real Estate Research, 3(2).
• Johnston, R. (1997). Service Quality. Warwick: Warwick Business School.
• Kostecki, M. (2002). Call centers i ich pracownicy. In: Call/contact center jako dobre narzędzie konkurowania i budowy relacji z klientem. White Paper. Computerworld Custom Publishing/IDG Forum.
• Kostecki, M. (2006). Efektywność i skuteczność w call center. Warszawa: Moimzdaniem.pl.
• Kotler, Ph. (1994). Marketing: Analiza, planowanie, wdrażanie i kontrola. Warszawa: Gebethner i S-ka.
• Krebs, D., Berger, M. and Ferligoj, A. (2000). Approaching Achievement Motivation - Comparing Factor Analysis and Cluster Analysis. In: Ferligoj, A. and Mrvar, A. (Ed.). New Approaches in Applied Statistics. Ljubljana: FDV.
• Lake, N. and Hickey, K. (2006). Podręcznik obsługi klienta. Gliwice: Helion.
• Lotko, A. (2004). Call Center as a Perspective Form of Improving Customer Service Quality. Regionalna Ekonomika, 2.
• Lotko, A. (2009). Ocena jakości usług w centrach kontaktu z klientem. Warszawa: PWN.
• Lotko, A. (2003). Zarządzanie relacjami z klientem. Strategie i systemy. Radom: Wydawnictwo Politechniki Radomskiej.
• Marr, B. and Schiuma, G. (2001). Measuring and Managing Intellectual Capital and Knowledge Assets in New Economy Organisations. In: Bourne, M. (Ed.). Handbook of Performance Measurement. London: Gee.
• Mazur, A., Jaworska, K. and Mazur, D. (2001). CRM. Zarządzanie kontaktami z klientami. Zabrze: MADAR.
• Mazurek-Łopacińska, K. (2003). Zachowania nabywców i ich konsekwencje marketingowe. Warszawa: PWE.
• Migut, G. (2009). Zastosowanie technik analizy skupień i drzew decyzyjnych do segmentacji rynku. Krakow: StatSoft.
• Parasuraman, A., Berry, L. and Zeithaml V. (1998). A Multiple-Item Scale for Measuring Customer Perceptions of Service Quality. Journal of Retailing, 64(1).
• Rzepecki, W. (2000). Wrota firmy. Businessman Magazine, 9.
• Sagan, A. (2003). Analiza rzetelności skal satysfakcji i lojalności. In: Analiza satysfakcji i lojalności klientów. Krakow: StatSoft.
• Seth, N., Deshmukh, S. and Vrat P. (2005). Service quality models: a review. International Journal of Quality & Reliability Management. 22(9).
• Sokołowski, A. (1992). Empiryczne testy istotności w taksonomii. Zeszyty Naukowe Akademii Ekonomicznej w Krakowie, Krakow.
• Staples, W., Dalrymple, J. and Phipps K. (2001). Excellence in Call Centres: Access is a corporate responsibility. In: Proceedings of the 6th International Conference on ISO 9000 and TQM. School of Business - HKBU, Paisley Business School.
• Stefanowicz, B. (2004). Informacja. Warszawa: SGH.
• Taylor, S. and Baker, T. (1994). An Assessment of the Relationship Between Service Quality and Customer Satisfaction in the Formation of Consumers' Purchase Intentions. Journal of Retailing, 4 (2).
• Tryon, R. (1939). Cluster Analysis. New York: McGraw-Hill.
• Upal, M. (2008). Telecommunication Service Gap: Call Service Quality Perception and Satisfaction. Communications of the IBIMA, 3.
• Wallace, C., Eagleson, G. and Waldersee, R. (2000). The sacrificial HR strategy in call centres. International Journal of Service Industry Management, 11(2).
• Wardaszko, M. (2001). Klient obsługiwany elektronicznie. PC Kurier, 14.
• Zeithmal, V. and Bittner, M. (2000). Services Marketing: Integrating Customer Focus across the Firm. New York: McGraw-Hill.