Applying the Service-Profit Chain to Internet Service Businesses

Jin-Woo Kim, Michael Richarme

Decision Analyst, Arlington, Texas, USA.
The University of Texas at Arlington, Arlington, Texas, USA.

DOI: 10.4236/jssm.2009.22013                

Abstract

Service-profit chain (SPC) is a powerful tool for evaluating the relationship between the degree of service effort and profit. This framework has been empirically tested in the banking, hospital, retail, and other brick and mortar service verticals. This paper extends the applicability of SPC to Internet-based businesses. The paper also investigates the moderating roles of customer satisfaction and advertising spending on the service operation efficiency (SOE) and profit relationship. Analysis of U.S. Internet service providers during a seven year period from 2000 to 2006 indicates that service operations efficiency is positively associated with a firm’s profit. However, the customer satisfaction and adver-tising spending constructs are negative moderators of the relationship between service operations efficiency and profit.

Keywords

service-profit chain, service operations efficiency, customer satisfaction, data envelopment analysis

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	L. J. Heskett, T. O. Jones, G. W. Loveman, W. E. Sasser, Jr., and L. Schlesinger , “Putting the service-profit chain to work,” Harvard Business Review, 72(2), pp. 164-170, 1994.
[2]	G. W. Loveman, “Employee satisfaction, customer loyalty, and financial performance: An empirical examination of the service profit chain in retail banking,” Journal of Ser-vice Research, 1(1), pp. 18-31, 1998.
[3]	A. Soteriou and S. A. Zenios, “Operations, quality, and profitability in the provision of banking services,” Man-agement Science, 45(9), pp. 1221-1238, 1999.
[4]	W. A. Kamakura, V. Mittal, F. de Rosa, and J. A. Mazzon, “Assessing the service-profit chain,” Marketing Science, 21(3), pp. 294-317, 2002.
[5]	M. Pritchard and R. Silvestro, “Applying the service profit chain to analyse retail performance: The case of the man-agerial strait-jacket?” International Journal of Service In-dustry Management, 16(4), pp. 337-356, 2005.
[6]	D. Bowman and D. Narayandas, “Linking customer man-agement effort to customer profitability in business mar-ket,” Journal of Marketing Research, 41(4), pp. 433-447, 2004.
[7]	R. T. Rust, A. J. Zahorik, and T. L. Keiningham, “Return on Quality (ROQ): Making service quality financially ac-countable,” Journal of Marketing, 59(2), pp. 58-70, 1995.
[8]	A. J. Rucci, S. P. Kirn, and R. T. Quinn, “The em-ploy-customer-profit chain at Sears,” Harvard Business Review, 76(1), pp. 82-97, 1998.
[9]	J. L. Heskett, T. O. Jones, G. W. Loveman, W. E. Sasser, Jr., and L. Schlesinger, “Putting the service-profit chain to work,” Harvard Business Review, 86(7/8), pp. 118-129, 2008.
[10]	X. M. Luo and C. B. Bhattacharya, “Corporate social responsibility, customer satisfaction, and market value,” Journal of Marketing, 70(4), pp. 1-18, 2006.
[11]	X. M. Luo and N. Donthu, “Benchmarking advertising efficiency,” Journal of Advertising Research, 41(6), pp. 7-18, 2001.
[12]	X. M. Luo and N. Donthu, “Assessing advertising media spending inefficiencies in generating sales,” Journal of Business Research, 58(1), pp. 28-36, 2005.
[13]	X. M. Luo and N. Donthu, “Marketing’s credibility: A longitudinal investigation of marketing communication productivity and shareholder value,” Journal of Marketing, 70(4), pp. 70-91, 2006.
[14]	J. Mahajan, “A data envelopment analytic model for as-sessing the relative efficiency of the selling function,” European Journal of Operational Research, 53(2), pp. 189-205, 1991.
[15]	G. E. Fruchter, “The many-player advertising game,” Ma- nagement Science, 45(11), pp. 1609-1611, 1997.
[16]	X. M. Luo, “Data envelopment analysis: A management science tool for scientific marketing research,” Journal of Marketing Research, 42(3), Book Review, pp. 113-116, 2004.
[17]	N. Donthu and B. Yoo, “Retail productivity assessment using data envelopment analysis,” Journal of Retailing, 74(1), pp. 89-105, 1998.
[18]	[W. A. Kamakura, T. Lenartowicz, and B. T. Ratchfrord, “Productivity assessment of multiple retail outlets,” Jour-nal of Retailing, 72(4), pp. 333-356, 1996.
[19]	J. S. Boles, N. Donthu, and R. Lohtia, “Salesperson evalu- ation using relative performance efficiency: The applica-tion of data envelopment analysis,” Journal of Personal Selling & Sales Management, 15(3), pp. 31-49, 1995.
[20]	B. K. Pilling, N. Donthu, and S. Henson, “Accounting for the impact of territory characteristics on sales performance: Relative efficiency as a measure of salesperson perform-ance,” Journal of Personal Selling and Sales Management, 19(2), pp. 35-45, 1999.
[21]	G. Reiner and P. Hofmann, “Efficiency analysis of supply chain processes,” International Journal of Production Re-search, 44(23), pp. 5065-5078, 2006.
[22]	Y. Chen, L. Liang, and F. Yang, “A DEA game model approach to supply chain efficiency,” Annals of Opera-tions Research, 145(1), pp. 5-13, 2006.
[23]	A. D. Ross and C. Droge, “An analysis of operations efficiency in large-scale distribution systems,” Journal of Operations Management, 21(6), pp. 673-688, 2004.
[24]	F. X. Frei and P. T. Harker, “Measuring the efficiency of service delivery processes: An application for retail bank-ing,” Journal of Service Research, 1(4), pp. 300-312, 1999.
[25]	D. Lien and Y. Peng, “Measuring the efficiency of search engines: An application of data envelopment analysis,” Applied Economics, 31(12), pp. 1581-1587, 1999.
[26]	M. Xue and P. T. Harker, “Customer efficiency: Concept and its impact on e-business management,” Journal of Service Research, 4(4), pp. 253-267, 2002.
[27]	J. Zhu, “Quantitative models for performance evaluations and benchmarking: Data envelopment analysis with spreadsheets and DEA EXCEL solver,” Norwell, MA: Kluwer Academic Publishers Group, 2003.
[28]	X. M. Luo and N. Donthu, “Benchmarking advertising efficiency,” Journal of Advertising Research, 41(6), pp. 7-18, 2001.
[29]	X. M. Luo and C. Homburg, “Neglected outcomes of customer satisfaction,” Journal of Marketing, 71(2), pp. 133-149, 2007.
[30]	V. Mittal, E. W. Anderson, P. Tadikamalla, and A. Sayrak, “Dual emphasis and the long-term financial impact of cus-tomer satisfaction,” Marketing Science, 24(4), pp. 544- 555, 2005.
[31]	B. Cooil, T. L. Keininham, L. Aksoy, and M. Hsu, “A longitudinal analysis of customer satisfaction and share of wallet: Investigating the moderating effect of customer characteristics,” Journal of Marketing, 71(1), pp. 67-83, 2007.
[32]	X. Y. Liu, “Study on service profit chain: Review and prospect,” Services Systems and Services Management, 1(1), pp. 429-434, 2005.
[33]	M. J. Farrell, “The measurement of productive effi-ciency,” Journal of the Royal Statistical Society Series A, 120(3), pp. 253-281, 1957.
[34]	A. Charnes, W. Cooper, and E. Rhodes, “Measuring the efficiency of decision making units,” European Journal of Operational Research, 3(6), pp. 429-444, 1978.