Modeling the habit of self-service technology usage

Cheng Wang*, Jennifer Harris, Paul G. Patterson

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

16 Citations (Scopus)

Abstract

Prior self-service technology (SST) studies focus primarily on the initial adoption and its drivers. However, the long-term viability and success of an SST depend on regular and frequent usage. Therefore, this study draws on social psychology and information system/information technology literature to investigate the habit of SST usage and its driving forces. Using panel data pertaining to 626 Australian customers who used a supermarket self-checkout machine over 12 weeks, the results reveal a strong carryover effect of habit. Satisfaction and self-efficacy positively contribute to habit development. Past behavior exerts an impact through frequency and recency effects. Moreover, the driving forces of habit are more complicated for men than for women. The findings provide important implications for service providers planning technology upgrades. The results suggest that to prevent habit disruption, gradual improvements are a better and safer strategy than introducing a new, disruptive technology.

Original languageEnglish
Pages (from-to)462-481
Number of pages20
JournalAustralian Journal of Management
Volume42
Issue number3
DOIs
Publication statusPublished - 1 Aug 2017

Keywords

  • Habit
  • longitudinal study
  • panel regression
  • self-service technology

Fingerprint

Dive into the research topics of 'Modeling the habit of self-service technology usage'. Together they form a unique fingerprint.

Cite this