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Service Enterprise Productivity in Action (SEPIA)

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Managing Service Productivity

Part of the book series: International Series in Operations Research & Management Science ((ISOR,volume 215))

Abstract

Services [Service sectors include financial services (banking, insurance, securities, fund management), professional services (accounting, legal, engineering, architecture), health services, education services, environmental services, energy services, logistics, tourism, information technology, telecommunications, transport, distribution, standards and conformance, audio-visual, media, entertainment, cultural and other business services (Australian Services Round Table Memorandum of Understanding with Australia 2009)] are becoming increasingly important to the Australian economy and that of other developed and developing economies. Yet, evidence shows that as production moves from agriculture and manufacturing to service- and knowledge-based economies, productivity growth rates have declined. To date there are no clear indicators for quantifying productivity for service and network based firms. This raises the question: How can productivity be measured for service and network based firms? This chapter presents a systems view of productivity and is organized into five sections: Overview of productivity; Current measures of productivity using KLEMS; Existing Service Productivity Models; Service Enterprise Productivity in Action (SEPIA) model, and New Measures for Service Enterprise Productivity. The key contribution of this chapter involves the operationalisation of the SEPIA model and an illustration of the model through the use of an industry example.

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References

  • Agarwal, R., & Selen, W. (2005). The service cubicle: A new service taxonomy. Annual EurOAM conference. Budapest, Hungary: European Operations Management Society.

    Google Scholar 

  • Agarwal, R., & Selen, W. (2009). Dynamic capability building in service value networks for achieving service innovation. Decision Sciences Institute, 40(3), 431–471.

    Article  Google Scholar 

  • Agarwal, R., & Selen, W. (2011). Multi-dimensional nature of service innovation. Operationalisation of the elevated service offerings construct in collaborative service organisations. International Journal of Operations and Production Management, 31(11), 1164–1192.

    Article  Google Scholar 

  • Ahmad, N., Lequiller, F., Pascal, M., Pilat, D., Schreyer, P., & Wolfl, A. (2003). Comparing labour productivity growth in the OECD area: The role of measurement. Paris, France: OECD.

    Google Scholar 

  • Arbdi, F., Shavarini, S., & Hoseini, S. (2006). Glean lean: How to use lean approaches in service industries. Journal of Service Research, 6, 191–206.

    Google Scholar 

  • Australian Qualifications Framework. (2013). Australian Qualifications Framework Council, South Australia.

    Google Scholar 

  • Basole, R., & Rouse, W. (2008). Complexity of service value networks: Conceptualisation and empirical investigation. IBM Systems Journal, 47(1), 53–70.

    Article  Google Scholar 

  • Boulding, K. (1956). General systems theory - The skeleton of science. Management Science, 2(3), 197–211.

    Article  Google Scholar 

  • Boyer, K., Hallowell, R., & Roth, A. (2002). E-services: Operating strategy - a case study and method for analyzing operational benefits. Journal of Operations Management, 20, 175–188.

    Article  Google Scholar 

  • Boyer, K., & Verma, R. (Eds.). (2010). Operations & supply chain management for the 21st century (1st ed.). Mason, WI: South-Western Cengage Learning.

    Google Scholar 

  • Camus, D. (2007). The ONS productivity handbook: A statistical overview and guide. Hampshire: Office of National Statistics (UK).

    Google Scholar 

  • Coelli, T. J., Rao Prasada, D., O’Donnell, C. J., & Battese, G. (2005). An introduction to efficiency and productivity analysis (2nd ed.). New York: Springer.

    Google Scholar 

  • Cook, W., & Zhu, J. (2008). Data envelopment analysis modeling operational processes and measuring productivity. Worcester: Worchester Polytechnic Institute.

    Google Scholar 

  • Crepon, B., Duget, E., & Mairesse, J. (1998). Research, innovation and productivity: An econometric analysis at the firm level. Economics of Innovation and New Technology, 7(2), 115–158.

    Article  Google Scholar 

  • De Myer, A., & Vereecke, A. (1996). The product process matrix: An empirical test on the friend industrial manufacturing industries. Fontainbleau: INSTEAD.

    Google Scholar 

  • Dolman, B., & Gruen, D. (2012, July). Productivity and structural change. Paper presented to the 41st Australian Conference of Economists, Melbourne, Australia.

    Google Scholar 

  • Drucker, P. (1993). Postcapitalist society. New York: HerperCollins Publishers.

    Google Scholar 

  • Drucker, P. F. (1999). Knowledge worker productivity: The biggest challenge. California Management Review, 41(2), 79–94.

    Article  Google Scholar 

  • Fischer, F., & Sirianni, C. (Eds.). (1994). Case studies in organisation and bureaucracy. Temple: Temple University Press.

    Google Scholar 

  • Frei, F. (2006). Customer-introduced variability in service operations. Harvard Business School, 9-606-063, 1–18.

    Google Scholar 

  • Gadrey, J., & Gallouj, F. (2002). Productivity, innovation and knowledge services. Cheltenham: Edward Elgar.

    Book  Google Scholar 

  • Gambin, L., Green, A. E., & Hogarth, T. (2009). Exploring the links between skills and productivity. Coventry: University if Warwick, Institute for Employment Research.

    Google Scholar 

  • Gattorna, J. (2010). Dynamic supply chains - delivering value through people (2nd ed.). Harlow: Pearson.

    Google Scholar 

  • Gibbons, J. (2007). Employee engagement: A review of current research and its implications. New York: The Conference Board Inc.

    Google Scholar 

  • Giraleas, D., Emrouznejad, A., & Thanassoulis, E. (2012). Productivity change using growth accounting and frontier-based approaches – Evidence from a Monte Carlo analysis. European Journal of Operational Research, 222, 673–683.

    Article  Google Scholar 

  • Gomez, R., & Hernandez de Cos, P. (2006). The importance of being mature. The effects of demographic maturity in global per capita GDP. Frankfurt: European Central Bank.

    Google Scholar 

  • Green, R., & Agarwal, R. (2009). In Department of Innovation, Science and Research (Ed.), Management matters in Australia: Just how productive are we?. Canberra: ACT.

    Google Scholar 

  • Gretton, P., & Fisher, B. (1997). Productivity growth and Australian manufacturing industry. Industry Commission Staff Research Paper AGPS. Canberra: ACT Australia.

    Google Scholar 

  • Gronroos, C., & Ojasalo, K. (2004). Service productivity. Towards a conceptualization of the transformation of inputs into economic results in services. Journal of Business Research, 57(4), 414–423.

    Article  Google Scholar 

  • Hackman, J. R., & Lawler, E. (1971). Employee reactions to job characteristics. Journal of Applied Psychology, 55, 259–286.

    Article  Google Scholar 

  • Hackman, J. R., & Oldham, G. R. (1976). Motivation through he design of work: Test of a theory. Organisational Behaviour and Human Performance, 16, 250–279.

    Article  Google Scholar 

  • Hackman, J. R., & Oldham, G. R. (1980). Work redesign. Reading, MA: Addison Wesley.

    Google Scholar 

  • Hayakawa, K., Machikita, T., & Kimura, F. (2010). Globalization and productivity: A survey of firm level analysis. Chiba: Institute of Developing Economies.

    Google Scholar 

  • Hayes, R., & Wheelright, S. (1979). Link manufacturing process and product life cycle. Harvard Business Review, (January–February), 133.

    Google Scholar 

  • Heskett, J., Loveman, T., Sasser, E., & Schlesinger, L. (1994). Putting the service profit chain to work. Harvard Business Review, 164–174.

    Google Scholar 

  • Judd, R. (1964). The case for redefining services. Journal of Marketing, 28, 58–59.

    Article  Google Scholar 

  • Kahn, W. (1990). Psychological conditions of personal engagement and disengagement at work. The Academy of Management Journal, 3(4), 692–724.

    Article  Google Scholar 

  • Kalakota, R., & Robinson, M. (1998). E-business roadmap for success. New York: Addison Wesley.

    Google Scholar 

  • Li, M., & Choi, T. (2009). Triads in service outsourcing: Bridge, bridge decay and bridge transfer. Journal of Supply Chain Management, 45(3), 27–39.

    Article  Google Scholar 

  • Lockwood, N. (2007). Leveraging employee engagement for competitive advantage. Society of Human Resource Management, 52, 1–12.

    Google Scholar 

  • Lovelock, C. H., & Yip, G. S. (1996). Developing global strategies for service businesses. California Management Review, 38(2).

    Google Scholar 

  • Lusch, R. F., Vargo, S. L., & Wessels, G. (2008). Toward a conceptual foundation for service science: Contributions from service dominant logic. IBM Systems Journal, 47(1), 1–14.

    Article  Google Scholar 

  • Macey, W., & Schneider, B. (2008). The meaning of employee engagement. Industrial and Organisational Psychology, 1, 3–20.

    Article  Google Scholar 

  • Maglio, P., & Spohrer, J. (2008). Fundamentals of service science. Journal of the Academy of Marketing Science, 36, 18–20.

    Article  Google Scholar 

  • McHugh, P., Merli, G., & Wheeler, G. (1995). Beyond business process reengineering. Chichester: Wiley.

    Google Scholar 

  • McLuhan, M. (1964). Understanding media. New York: McGraw Hill.

    Google Scholar 

  • Ng, I., Lei Guo, J., & Yip, N. (2008). Towards a benefits-based framework for understanding B2B services and its impact on contract and capability. Paper presented to the 10th International Research Seminar in Service Management, La Londe France, 27–30 May 2008.

    Google Scholar 

  • Ng, I. C. L. (2008). The pricing and revenue management of services. London: Routledge.

    Google Scholar 

  • Norman, R., & Ramirez, R. (1993a). From value chain to value constellations: Designing interactive strategy. Harvard Business Review (July-August), 65–77.

    Google Scholar 

  • Norman, R., & Ramirez, R. (1993b). Strategy and the art of reinventing value. Harvard Business Economic Studies, 39–51.

    Google Scholar 

  • Norman, R., & Ramirez, R. (1997). Do constellations supersede value chains? The Antidote, 28–32.

    Google Scholar 

  • O’Mahony, M., & Timmer, M. (2009a). Output, input and productivity measures at an industry level: The EU KLEMS database. Economic Journal, 119(538), F374–F403.

    Article  Google Scholar 

  • O’Mahony, M., & Timmer, M. (2009b). Output input and productivity measures at the industry level: The EU KLEMS database. The Economic Journal, 119, 374–403.

    Article  Google Scholar 

  • Ospina, S., & Schiffbauer, M. (2006). Competition and firm productivity: Evidence from firm-level data, International Monetary Fund.

    Google Scholar 

  • Pakes, A., & Griliches, Z. (Eds.). (1984). Patents and R&D at the firm level: A first look. Chicago: University of Chicago Press.

    Google Scholar 

  • Parolini, C. (1999). The value net. Chichester: Wiley.

    Google Scholar 

  • Pedersen, E., & Hunchie, M. (2011). Negotiating lean: The fluidity and solidity of new management technologies in the Danish public sector. International Journal of Public Sector Management, 24(5), 403–420.

    Article  Google Scholar 

  • Rathmell, J. (1974). Marketing in the service sector. Cambridge, MA: Winthrop.

    Google Scholar 

  • Roth, A., & Menor, L. (2003). Insights into service operations management: A research agenda. Production and Operations Management, 12(2), 145–165.

    Article  Google Scholar 

  • Sampson, S. E., & Froehle, C. M. (2006). Foundations and implications of a proposed unified service theory. Production and Operations Management Society, 15(2), 329–343.

    Article  Google Scholar 

  • Sampson, S. (2010). Unified service theory: A paradigm for service science. In P. Maglio, A. Kieliszewski, & J. Spohrer (Eds.), Handbook of service science (pp. 107–132). New York: Springer.

    Chapter  Google Scholar 

  • Scerri, M. (2004). Be easy training program. Sydney: Blue Mountains Regional Tourism.

    Google Scholar 

  • Scerri, M., & Agarwal, R. (2013). Evolution of production, transition to the value creation cube. In Driving the economy through innovation and entrepreneurship: Emerging agenda for technology management. Bangalore: Springer.

    Google Scholar 

  • Schmenner, R. (1986). How can service businesses survive and prosper? Sloan Management Review, 27(3), 12–32.

    Google Scholar 

  • Schmenner, R. (2004). Service businesses and productivity. Decision Sciences, 35(3), 333–347.

    Article  Google Scholar 

  • Schreyer, P. (2001). Measuring productivity: Measuring aggregate and industry level productivity growth (pp. 1–254). Paris: OECD.

    Google Scholar 

  • Seijts, G., & Crim, D. (2006). What engages employees the most. The ten C’s of employee engagement. IVEY Business Journal, 1–5.

    Google Scholar 

  • Servicing our Future. (2007). In Treasury (ed.) Australian Government, Canberra, ACT, pp. 1–136.

    Google Scholar 

  • Shostack, G. (1987). Service position through structural change. Journal of Marketing, 51(1), 34–43.

    Article  Google Scholar 

  • Simon, H. (1996). The sciences of the artificial (3rd ed.). Cambridge, MA: MIT Press.

    Google Scholar 

  • Solow, R. (1956). A contribution to the theory of economic growth. Quarterly Journal of Economics, 70(1), 65–94.

    Article  Google Scholar 

  • Spoher, J., & Maglio, P. P. (2006). The emergence of service science: Towards systematic service innovation. San Jose, CA: IBM Research Centre.

    Google Scholar 

  • Stam, C. (2007). Knowledge productivity designing and testing a method to diagnose knowledge productivity and plan for enhancement, Universitet Twente.

    Google Scholar 

  • Swank, C. (2003). The lean service machine. Harvard Business Review, 81(10), 123–129.

    Google Scholar 

  • Tamkin, P. (2005). Measuring the contribution of skills to business performance - A summary for employers. Brighton, UK: Institute for Employment Studies.

    Google Scholar 

  • Taylor, F. (1911). The principles of scientific management. New York: Harper & Brothers.

    Google Scholar 

  • Timmer, M., O’Mahony, M., & van Ark, B. (2007). EU KLEMS growth and productivity accounts: An overview. International Productivity Monitor.

    Google Scholar 

  • Toffler, A. (1981). Third wave. New York: Bantam Books.

    Google Scholar 

  • Trist, E. (1981). The evolution of socio-technical systems. Perspectives on Organizational Design and Behaviour, pp. 1–69.

    Google Scholar 

  • Van Landeghem, H., & Vanmaele, H. (2002). Robust planning: A new paradigm for demand chain planning. Journal of Operations Management, 20, 769–783.

    Article  Google Scholar 

  • Vargo, S. L., & Lusch, R. F. (2004). Evolving to a new dominant logic for marketing. Journal of Marketing, 68, 1–17.

    Article  Google Scholar 

  • Vargo, S. L., & Lusch, R. F. (2008). From goods to service(s): Divergences and convergences of logics. Industrial Marketing Management, pp. 1–6.

    Google Scholar 

  • Vargo, S. L., & Lusch, R. F. (2011). Service dominant logic: Foundations of E-novation. In H. Patterson & D. Low (Eds.), E-novation for competitive advantage in collaborative globalization: Technologies for emerging e-business strategies (pp. 1–15). Hershey: Business Science Reference.

    Chapter  Google Scholar 

  • von Bertalanffy, L. (1968). General systems theory: Foundation, development, applications. New York: G. Braziller.

    Google Scholar 

  • Walters, D., & Rainbird, M. (2007). Strategic operations management. Hampshire: Palgrave Macmillan.

    Google Scholar 

  • Webster, E. (2004). Firms decisions to innovate and innovation routines. Economics of Innovation and New Technology, 13(8), 733–745.

    Article  Google Scholar 

  • Wilson, K. (2009). A survey of engaged employees. Columbia: University of Missouri.

    Google Scholar 

  • Wolff, E. (1995). Technology and the demand for skills. New York: New York University.

    Google Scholar 

  • Wolff, E. (2002). How Stagnant are Services? In J. Gadrey & G. Faiz (Eds.), Productivity, innovation and knowledge in services (pp. 3–25). Northampton, MA: Edward Elgar.

    Google Scholar 

  • Zeithaml, V., Parasuraman, A., & Berry, L. (1985). Problems and strategies in service marketing. Journal of Marketing, 49(4), 33–46.

    Article  Google Scholar 

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Correspondence to Moira Scerri .

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Scerri, M., Agarwal, R. (2014). Service Enterprise Productivity in Action (SEPIA). In: Emrouznejad, A., Cabanda, E. (eds) Managing Service Productivity. International Series in Operations Research & Management Science, vol 215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43437-6_6

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