Measuring return on service quality using network DEA and ACSI

Shunichi Ohmori, Sirawadee Arunyanart, Hanoyong Choi, Kazuho Yohimoto

    Research output: Contribution to conferencePaper


    This study focuses on how to evaluate, analyze and improve productivity of service operation. Given the expanding share of gross domestic product in many countries, the improvement of service productivity has become one of the most promising research fields today. It is known that measuring and analyzing the service productivity is substantially challenging because most service delivery is often heterogeneous, simultaneous, intangible, and perishable. As one of approaches, Data Envelopment Analysis (DEA) have been widely applied to evaluate and analyze the productivity in the service sector such as banking and insurance, health care, universities, tourism, and real estate. In this paper, service evaluation and analysis model using network DEA, on the basis of a Customer Satisfaction Index as an output and 4M (Man, Machine, Material/Method), land/building, energy, and time as input have been constructed. Customer satisfaction is one of the most important drivers of service firm's profitability, and thus, can be considered appropriate as an output criterion. The customer satisfaction is given from the statistical analysis of customer's surveys on the basis of process specific questionnaire. Those values are evaluated incorporated with process specific resources using network DEA. By doing so, the improvement direction can be evaluated.

    Original languageEnglish
    Publication statusPublished - 2013 Jan 1
    Event22nd International Conference on Production Research, ICPR 2013 - Parana, Brazil
    Duration: 2013 Jul 282013 Aug 1


    Other22nd International Conference on Production Research, ICPR 2013


    • American customer satisfaction index
    • Data envelopment analysis
    • Return on quality
    • Service productivity

    ASJC Scopus subject areas

    • Computer Science Applications
    • Industrial and Manufacturing Engineering
    • Control and Systems Engineering

    Fingerprint Dive into the research topics of 'Measuring return on service quality using network DEA and ACSI'. Together they form a unique fingerprint.

  • Cite this

    Ohmori, S., Arunyanart, S., Choi, H., & Yohimoto, K. (2013). Measuring return on service quality using network DEA and ACSI. Paper presented at 22nd International Conference on Production Research, ICPR 2013, Parana, Brazil.