Self-Reinforcement Mechanisms of Sustainability and Continuous System Use: A Self-Service Analytics Environment Perspective

Informatics

Eva Shepherd¹  Imad Bani-Hani² 

[1] Independent Researcher, 8737 Angeline Ct., Lincoln, NE 68526, USA;Informatics Department, Linnaeus University, 35195 Vaxjo, Sweden;

关键词: sustainability;    continuous use;    self-service analytics environment;    reinforcement mechanisms;   

DOI  :  10.3390/informatics8030045

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown