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A classification scheme for productivity management in e-commerce services

Author

Listed:
  • Elisa Granha Lira
  • Noel Torres Júnior
  • Ricardo Augusto Oliveira Santos

Abstract

This paper investigates service classification schemes in order to understand how to increase productivity in services. A useful model for this purpose is the one proposed by Schmenner in 2004. However, this model is limited to traditional services, and it does not consider the unique characteristics of e-commerce business, which create new trends in productivity management. Accordingly, we conduct a Systematic Literature Review (SLR) to develop a classification scheme, which would be suitable for e-commerce services. Based on this research, a multidimensional model is proposed splitting the Schmenner’s ‘degree of variation’ dimension into two axes: degree of interaction with customers and degree of customisation for customers. In addition to these theoretical contributions to Schmenner’s matrix, the SLR complements the previous reviews presented by authors such as Cook, D. P., Goh, C., & Chung, C. H. (1999. Service typologies : A state of the art survey. Production and Operations Management, 8(3), 318–338) and Van der Valk, W., & Axelsson, B. (2015. Towards a managerially useful approach to classifying services. Journal of Purchasing and Supply Management, 21(2), 113–124). The value of this paper to managers is the recognition of differences in productivity management between these two types of services: managers can overcome the traditional trade-off cost versus customisation and explore e-commerce to increase their profits while increasing customisation for their customers. Moreover, the model proposed in this paper can be used to assist organisations in strategic planning and service portfolio management.

Suggested Citation

  • Elisa Granha Lira & Noel Torres Júnior & Ricardo Augusto Oliveira Santos, 2023. "A classification scheme for productivity management in e-commerce services," The Service Industries Journal, Taylor & Francis Journals, vol. 43(13-14), pages 1010-1033, October.
    • Handle: RePEc:taf:servic:v:43:y:2023:i:13-14:p:1010-1033
    DOI: 10.1080/02642069.2019.1606905
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