hkr.sePublications
Change search
Refine search result
1 - 2 of 2
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Lundström, Emelie
    et al.
    Kristianstad University, Faculty of Business.
    Nasilowska, Martyna
    Kristianstad University, Faculty of Business.
    Revisionens digitalisering: en kvalitativ studie om hur digitaliseringen har påverkat revisionsprocessen och revisorsrollen2020Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    There are studies that indicate big changes concerning audit industries as the digitalization continues to develop. It is known that the audit offices can no longer ignore the fact that digitalization has taken an important role in our society. Previous research shows that the audit industry is one of the many industries that has been affected by digitalization, this because many of the tasks have been replaced by new technology.

    The purpose of this study has been to investigate how digitalization has affected the audit industry. In this report, a qualitative method has been used where five employees by PwC have been interviewed. The empiricism that was collected during the interviews was analyzed through the use of the theories presented with the aim of answering the study’s two main questions. Subsequently, an analysis of the content was performed where correlations found by the collected empiricism were compared to the theories of the study. The result of the study was that the digitalization has already contributed to changes in the phases of the audit process and the auditor role. Furthermore, the digitalization has resulted in a more efficient way and increased the credibility of the audit.

    The development of digitalization has been predicted to continue and also affect value creation in the audit industry. The collected theory and empiricism show that the auditors focusing more on creating value for the customers. Finally, digitalization is expected to have an impact on the demand for the audit and its qualities.

    Download full text (pdf)
    fulltext
  • 2.
    Pradhan, Shameer Kumar
    Kristianstad University, Faculty of Natural Science.
    Investigation of Event-Prediction in Time-Series Data: How to organize and process time-series data for event prediction?2019Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    The thesis determines the type of deep learning algorithms to compare for a particular dataset that contains time-series data. The research method includes study of multiple literatures and conduction of 12 tests. It deals with the organization and processing of the data so as to prepare the data for prediction of an event in the time-series. It also includes the explanation of the algorithms selected. Similarly, it provides a detailed description of the steps taken for classification and prediction of the event. It includes the conduction of multiple tests for varied timeframe in order to compare which algorithm provides better results in different timeframes. The comparison between the selected two deep learning algorithms identified that for shorter timeframes Convolutional Neural Networks performs better and for longer timeframes Recurrent Neural Networks has higher accuracy in the provided dataset. Furthermore, it discusses possible improvements that can be made to the experiments and the research as a whole.

    Download full text (pdf)
    fulltext
1 - 2 of 2
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf