Improvement proposals for speeding up customer delivery projects
Iivarinen, Sanna-Maria (2022)
Iivarinen, Sanna-Maria
2022
All rights reserved. This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi:amk-2022120125656
https://urn.fi/URN:NBN:fi:amk-2022120125656
Tiivistelmä
The aim of this research was to identify improvement proposals for speeding up delivery projects. Customer of the research is Company X which is developing healthcare patient info system software product. When new versions are released, the roll-out to the field is taken care by delivery projects. Focus on this research is in these delivery projects.
Research was conducted by using qualitative research methods. Research data was collected via Company X personnel theme interviews. Collected data was processed in brainstorming sessions together with Deployment RTM. Further data refinement contained categorizing all 457 items by formulating first classes for data and then themes and subthemes. In final categorization there were six classes, 13 themes and 44 subthemes.
First key finding was realizing that there cannot be identified one single reason for slow speed of delivery projects. Instead, there are multiple reasons and root causes. Second major finding was comprehension of several implemented improvements before this research started and during it: Company X is following continuous improvement ideology. Thirdly it became clear that there were positive signals from certain theme perspective but also improvement needs within same theme. Process aspect was one theme which had both well-functioning elements but also elements requiring improvement.
As an outcome of this research a set of improvement proposals were given in prioritized order.
Research was conducted by using qualitative research methods. Research data was collected via Company X personnel theme interviews. Collected data was processed in brainstorming sessions together with Deployment RTM. Further data refinement contained categorizing all 457 items by formulating first classes for data and then themes and subthemes. In final categorization there were six classes, 13 themes and 44 subthemes.
First key finding was realizing that there cannot be identified one single reason for slow speed of delivery projects. Instead, there are multiple reasons and root causes. Second major finding was comprehension of several implemented improvements before this research started and during it: Company X is following continuous improvement ideology. Thirdly it became clear that there were positive signals from certain theme perspective but also improvement needs within same theme. Process aspect was one theme which had both well-functioning elements but also elements requiring improvement.
As an outcome of this research a set of improvement proposals were given in prioritized order.