Articles

Modeling Employees Behavior Intention with the Adoption of a Suggestion System for Lean Initiatives

Authors
  • Shweta Chopra (Ohio University)
  • Jayaruwani Fernando (Rajarata University of Sri Lanka)

Abstract

The cost of healthcare in the United States is increasing at a significant rate. A substantial portion of the increased costs is associated to non-value-added activities in healthcare. For the past two decades, the healthcare industry has employed lean principles to increase quality and safety measures while reducing costs. Lean initiatives require extensive employee participation. Capturing employee suggestions is one way to engage employees in the improvement process. The purpose of this paper is to understand factors impacting employee behavioral intentions towards using an employee suggestion system (ESS) called KaiNexus, to facilitate process improvement in a healthcare organization. For this purpose, data were collected using a questionnaire-based survey distributed among the employees of Mary Greely Medical Center (MGMC). SmartPLS software was used to analyze the collected data. Results show that performance expectancy and social influence exerted a significant positive influence on employee behavioral intentions to use KaiNexus. The variables, effort expectancy and facilitating conditions, on the other hand, did not have a significant impact on employee behavioral intentions. Findings from this research will help organizations re-evaluate factors that increase employee participation in process improvement. An employee suggestion system offers a platform for employees and managers to work collaboratively on suggestions and reduce non-value-added activities in the daily operational process.

Keywords: behavioral intention|healthcare|lean principles|employee suggestion system

How to Cite:

Chopra, S. & Fernando, J., (2020) “Modeling Employees Behavior Intention with the Adoption of a Suggestion System for Lean Initiatives”, The Journal of Technology, Management, and Applied Engineering 36(2).

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Published on
01 Apr 2020
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