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People Quality Measurement in Service Industry: A New Approach

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Listed:
  • Nitin Gupta
  • Prem Vrat
  • Ravindra Ojha

Abstract

In the service sector, the quality of people working at the operational level plays a crucial role in delivering a satisfactory customer experience. Though the types of attributes may be the same, their degree of impact on the delivered service quality may vary from one industry to another. This article uniquely identifies the critical attributes of people quality specific to the 10 contributing industries in the service sector. In the research article, the tools such as brainstorming, a focused group approach, a survey questionnaire, secondary research, and analytic hierarchy process (AHP) have been used for the identification, selection, prioritization, and weight allocation to the CTQs, sub-CTQs that define the quality of people. Further detailed analysis resulted in a three-layered hierarchy with key segments such as attitude, skill, and knowledge at the top at level one, seven critical to quality (CTQs) at level two, and 35 sub-CTQs at level three. Based on the identified CTQs and sub-CTQs, two innovative indices have been developed—quick people quality index (QPQI) and overall people quality index (OPQI). These indices may conveniently be used for evaluating the performance of an individual working at an operational level, engaged in the identified industry in the service sector. These indices are easy to use and require little computation time. The service organization may greatly be benefited by measuring the people quality periodically. They may take the initiatives to bridge the gaps highlighted by this model and improve people’s quality. This improvement in people quality will lead to an improvement in the delivered service quality of the organization.

Suggested Citation

  • Nitin Gupta & Prem Vrat & Ravindra Ojha, 2023. "People Quality Measurement in Service Industry: A New Approach," Metamorphosis: A Journal of Management Research, , vol. 22(1), pages 55-72, June.
  • Handle: RePEc:sae:metjou:v:22:y:2023:i:1:p:55-72
    DOI: 10.1177/09726225231157973
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    References listed on IDEAS

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    1. Arpita Mukherjee, 2013. "The Service Sector in India," ADB Economics Working Paper Series 352, Asian Development Bank.
    2. Lovemore Chikazhe & Charles Makanyeza & Nicholas Z. Kakava, 2022. "The effect of perceived service quality, satisfaction and loyalty on perceived job performance: perceptions of university graduates," Journal of Marketing for Higher Education, Taylor & Francis Journals, vol. 32(1), pages 1-18, January.
    3. Yoram Wind & Thomas L. Saaty, 1980. "Marketing Applications of the Analytic Hierarchy Process," Management Science, INFORMS, vol. 26(7), pages 641-658, July.
    4. Muhammad Fadhlullah Abu Bakar & Shuhairy Norhisham & Herda Yati Katman & Chow Ming Fai & Nor Najwa Irina Mohd Azlan & Nur Sarah Shaziah Samsudin, 2022. "Service Quality of Bus Performance in Asia: A Systematic Literature Review and Conceptual Framework," Sustainability, MDPI, vol. 14(13), pages 1-21, June.
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    2. Mahendra Pal Singh & Riju Jacob & Omkarprasad S. Vaidya, 2024. "Role of Behavioural Factors on Process Performance: An Experimental Study," Metamorphosis: A Journal of Management Research, , vol. 23(1), pages 62-76, June.

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