{"title":"Improving service quality through customer feedback – the case of NPS in IBM’s training services","authors":"Alexander Ziegler, T. Peisl, R. Raeside","doi":"10.1108/ijqss-09-2022-0106","DOIUrl":null,"url":null,"abstract":"\nPurpose\nThe paper extends the discussion on the merit of using a net promoter score (NPS) to enhance the service design of organisations and to facilitate quality monitoring and improvement. NPS is a basic measure to assess the likelihood of a customer recommending an organisation to somebody else. This paper aims to show that this metric can be effective in monitoring and improving the quality of workplace training.\n\n\nDesign/methodology/approach\nInvestigating the merit of using NPS to improve organisational training involved a longitudinal study of training provided by IBM. Data is analysed using panel regression and partial correlation methods. Workplace training delivery is the unit of analysis in which an NPS and conventional customer satisfaction score evaluations were conducted at the end of the delivery. The efficacy of these measures to improve quality are compared and insights derived from analysing NPS are investigated.\n\n\nFindings\nThe findings indicate that, although NPS is not necessarily related to the results or success of a business, from a corporate perspective it can provide a solid basis from which to make business decisions that benefit a company. The authors found that NPS was associated with improved satisfaction with training, although significant regional variations were observed. Building on the data, a service business model is proposed advocating NPS as a tool for continuous improvement.\n\n\nPractical implications\nThe contribution to practice includes a clearer understanding of NPS as a quality and service improvement indicator and also as a driver for a service business design. In addition, it is indicated that enterprises operating in multiple regions should consider regional variations in NPS.\n\n\nOriginality/value\nBy analysis of IBM’s training data, the authors gain an understanding of an industry in which quality and the use of NPS has not been extensively studied. The data also offers a rich dimension in the examination of the factors that should be considered to effectively implement an NPS service improvement plan.\n","PeriodicalId":14403,"journal":{"name":"International Journal of Quality and Service Sciences","volume":null,"pages":null},"PeriodicalIF":3.4000,"publicationDate":"2023-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Quality and Service Sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/ijqss-09-2022-0106","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
The paper extends the discussion on the merit of using a net promoter score (NPS) to enhance the service design of organisations and to facilitate quality monitoring and improvement. NPS is a basic measure to assess the likelihood of a customer recommending an organisation to somebody else. This paper aims to show that this metric can be effective in monitoring and improving the quality of workplace training.
Design/methodology/approach
Investigating the merit of using NPS to improve organisational training involved a longitudinal study of training provided by IBM. Data is analysed using panel regression and partial correlation methods. Workplace training delivery is the unit of analysis in which an NPS and conventional customer satisfaction score evaluations were conducted at the end of the delivery. The efficacy of these measures to improve quality are compared and insights derived from analysing NPS are investigated.
Findings
The findings indicate that, although NPS is not necessarily related to the results or success of a business, from a corporate perspective it can provide a solid basis from which to make business decisions that benefit a company. The authors found that NPS was associated with improved satisfaction with training, although significant regional variations were observed. Building on the data, a service business model is proposed advocating NPS as a tool for continuous improvement.
Practical implications
The contribution to practice includes a clearer understanding of NPS as a quality and service improvement indicator and also as a driver for a service business design. In addition, it is indicated that enterprises operating in multiple regions should consider regional variations in NPS.
Originality/value
By analysis of IBM’s training data, the authors gain an understanding of an industry in which quality and the use of NPS has not been extensively studied. The data also offers a rich dimension in the examination of the factors that should be considered to effectively implement an NPS service improvement plan.
期刊介绍:
The International Journal of Quality and Service Sciences seeks to explore various aspects of quality and services as closely interrelated phenomena in the context of ongoing transformation processes of organizations and societies. Thus the journals'' scope is not limited to micro perspectives of organizational and management related issues. It seeks further to explore patterns, behaviors, processes, mechanisms, principles and consequences related to quality and services in a broad range of organizational and social/global processes. These processes embrace cultural, economic, social, environmental and even global dimensions in order to better understand the past, to better diagnose the current situations and hence to design better the future. The journal seeks to embrace a holistic view of quality and service sector management and explicitly promotes the emerging field of ‘quality and service sciences’.The journal is an open forum and one of the main channels for communication of multi- and inter- disciplinary research and practices.