University of Jyväskylä | JYX Digital Repository

  • English  | Give feedback |
    • suomi
    • English
 
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.
View Item 
  • JYX
  • Opinnäytteet
  • Pro gradu -tutkielmat
  • View Item
JYX > Opinnäytteet > Pro gradu -tutkielmat > View Item

Invocation of artificial intelligence in payroll

Thumbnail
View/Open
1.0Mb

Downloads:  
Show download detailsHide download details  
Authors
Kylämies, Jaakko
Date
2020
Discipline
TietojärjestelmätiedeInformation Systems Science
Copyright
This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.

 
This master’s thesis studies invocation of artificial intelligence in payroll and how it could eventually improve firm’s performance. Artificial intelligence is coming or is already is in use on nearly all fields of life and payroll is no exception to this. Use of artificial intelligence is coming more and more topical also on the field of payroll. Artificial intelligence is very complex technology to take use and it effects to entire service process, so implementation of artificial intelligence must be observed also from strategic and service process perspectives. In this study service modularity is being used to clarify service process and which matters need to be taken into account when planning implementation of artificial intelligence. The study was done by using empirical methods and re-searching observations both on service provider and customer side. Study resulted findings which indicated that balance between customization and standardization has a key role in answering to diverse customer needs and standardizing process, so that service provider could centralize all the core parts of the process. Study also found out that firms should think carefully what the benefit of artificial intelligence is and how it will affect to the whole service process and where it should first be taken into use. ...
Keywords
business process outsourcing service modularity palkanlaskenta palkkahallinto tekoäly ulkoistaminen asiakkaat palvelujärjestelmät calculation of pay payroll administration artificial intelligence outsourcing customers service systems
URI

http://urn.fi/URN:NBN:fi:jyu-202001071053

Metadata
Show full item record
Collections
  • Pro gradu -tutkielmat [23396]

Related items

Showing items with similar title or keywords.

  • Different ways to organize the processes of financial administration : a field study of medium-sized Finnish companies 

    Nummela, Maria (2011)
    This research concentrates on exploring the ways how financial administration is currently organized in medium-sized companies in Finland. Decentralization, centralization and outsourcing are options that are available to ...
  • Artificial Intelligence in Protecting Smart Building’s Cloud Service Infrastructure from Cyberattacks 

    Vähäkainu, Petri; Lehto, Martti; Kariluoto, Antti; Ojalainen, Anniina (Springer, 2020)
    Gathering and utilizing stored data is gaining popularity and has become a crucial component of smart building infrastructure. The data collected can be stored, for example, into private, public, or hybrid cloud service ...
  • Impact of accounting process characteristics on accounting outsourcing : Comparison of users and non-users of cloud-based accounting information systems 

    Asatiani, Aleksandre; Apte, Uday; Penttinen, Esko; Rönkkö, Mikko; Saarinen, Timo (Elsevier, 2019)
    Prior literature informs us that a company's decision to outsource a business process depends on process characteristics such as how frequently the process is performed or how specific the assets required by the process ...
  • Intelligent Tutoring System in Archaeology 

    Subirats, L.; Fort, S.; Hernández, C., Pérez; L., Vesisenaho, M.; Nousiainen, T.; Peltonen, M.; Miakush, I.; Sacha, G.M. (Association for the Advancement of Computing in Education (AACE), 2019)
    A method that uses artificial intelligence for the taxonomical characterization of bone remains in archaeological sites is shown. The main goal of this method is to help students and archaeologists in the classification ...
  • A Multiple Case Study of Artificial Intelligent System Development in Industry 

    Nguyen-Duc, Anh; Sundbø, Ingrid; Nascimento, Elizamary; Conte, Tayana; Ahmed, Iftekhar; Abrahamsson, Pekka (ACM, 2020)
    There is a rapidly increasing amount of Artificial Intelligence (AI) systems developed in recent years, with much expectation on its capacity of innovation and business value generation. However, the promised value ...
  • Browse materials
  • Browse materials
  • Articles
  • Conferences and seminars
  • Electronic books
  • Historical maps
  • Journals
  • Tunes and musical notes
  • Photographs
  • Presentations and posters
  • Publication series
  • Research reports
  • Research data
  • Study materials
  • Theses

Browse

All of JYXCollection listBy Issue DateAuthorsSubjectsPublished inDepartmentDiscipline

My Account

Login

Statistics

View Usage Statistics
  • How to publish in JYX?
  • Self-archiving
  • Publish Your Thesis Online
  • Publishing Your Dissertation
  • Publication services

Open Science at the JYU
 
Data Protection Description

Accessibility Statement

Unless otherwise specified, publicly available JYX metadata (excluding abstracts) may be freely reused under the CC0 waiver.
Open Science Centre