The impact of automation software on white-collar productivity: A multi-case study with a qualitative approach.
2016 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE credits
Student thesis
Abstract [en]
Purpose – The purpose of this thesis is to analyze through a qualitative study, how the implementation of automation software affects the productivity of clerical work performed by white-collar employees.
Design/Methodology/Approach – Results are a product of secondary sources and the collection of primary data. Our research strategy was a multi-case study, which included four different companies. One in-depth interview per case was conducted with managers who were responsible for the software implementation in each of their companies.
Findings – The automation software implementation was a success as it was perceived to impact positively white-collar productivity. Crucial findings indicate that Cost, Quantity, Time, Autonomy, and Quality, are indeed the dimensions by which the phenomenon is affected from a clerical stance. Secondly, it becomes evident that the dimensions of Quality and Time, cause the rest of the addressed dimensions, and therefore should be regarded as more important. Furthermore, it was identified that the automation software justified its investment by increasing the cash flow of the studied businesses. Finally, the success of the implementation was due to factors such as a trial period, and that the employees embraced the change, inasmuch as it replaced the workload and not them.
Originality/Value – This thesis contributes to existing literature as it identifies the dimensions in which white-collar productivity is perceived to be affected and the relation between them. This is significant for the academic world as it provides future investigators with a set of related dimensions to elaborate further research on the field. It also highlights the benefits of automating clerical work, which currently is underestimated in business literature.
Keywords – white-collar productivity, dimensions, clerical work, automation software, IT implementation, office automation.
Place, publisher, year, edition, pages
2016. , p. 49
Keywords [en]
Productivity, white-collar workers, automation, automation software, implementation, productivity dimensions
National Category
Business Administration
Identifiers
URN: urn:nbn:se:hj:diva-30278ISRN: JU-IHH-FÖA-1-20160244OAI: oai:DiVA.org:hj-30278DiVA, id: diva2:933561
Subject / course
IHH, Business Administration
Supervisors
Examiners
2016-06-202016-06-062016-06-20Bibliographically approved