Self-reinforcement mechanisms of sustainability and continuous system use: A self-service analytics environment perspective

Imad Bani-Hani, Eva Shepherd

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

The capabilities of the people, processes, and technology are important factors to consider when exploring continuous use to create value. Multiple perceptions and attitudes towards self-service systems lead to various usage levels and outcomes. With complex analytical structures, organizations need a better understanding of IS value and users’ satisfaction. Incompatibility reduces the purpose of self-service analytics, decreasing its value and making it obsolete. In a qualitative, single case study, 20 interviews in a major digital Scandinavian marketplace were explored using the expectation–confirmation theory of continuous use to explore the mechanisms influencing the sustainability of self-service value. Two main mechanisms were identified: the personal capability reinforcement mechanism and the environment value reinforcement mechanism. This study contributes to the post-implementation and continuous use literature and self-service analytics literature and provides some practice implications to the related industry.

Original languageEnglish
Article number45
JournalInformatics
Volume8
Issue number3
DOIs
Publication statusPublished - Sept 2021
Externally publishedYes

Keywords

  • Continuous use
  • Reinforcement mechanisms
  • Self-service analytics environment
  • Sustainability

ASJC Scopus subject areas

  • Communication
  • Human-Computer Interaction
  • Computer Networks and Communications

Fingerprint

Dive into the research topics of 'Self-reinforcement mechanisms of sustainability and continuous system use: A self-service analytics environment perspective'. Together they form a unique fingerprint.

Cite this