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Impact of artificial intelligence in accounting and auditing / (Record no. 19722)

MARC details
000 -LEADER
fixed length control field 02571nam a22002895a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250513111630.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200728 2020 bx a g m 000 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Qualifying information hardback
040 ## - CATALOGING SOURCE
Original cataloging agency Universiti Teknologi Brunei
Language of cataloging eng
Transcribing agency UTB
084 ## - BOOK Call Number
Classification number UTB 120 REPORT, THESIS & DISSERTATION
-- RTDS 292
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Nur Syahmina Afiqah Binti Haji Zamain
Relator term Author
245 10 - TITLE STATEMENT
Title Impact of artificial intelligence in accounting and auditing /
Statement of responsibility, etc. Nur Syahmina Afiqah Binti Haji Zamain
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. Brunei Darussalam :
Name of publisher, distributor, etc. Universiti Teknologi Brunei,
Date of publication, distribution, etc. © 2020.
300 ## - PHYSICAL DESCRIPTION
Extent 27 pages :
Other physical details some colour illustrations ;
Dimensions 30 cm
500 ## - GENERAL NOTE
General note A Final Year Project Submitted to The Universiti Teknologi Brunei (UTB) to Partial fulfillment of the requirements for the degree of Bachelor of Business (HONS) in Accounting and Information System.
500 ## - GENERAL NOTE
General note Abstract<br/>The evolvement of advanced technology across various industries has provided opportunities for improvement in how professionals carry out their business. Artificial Intelligence (AI) is a rapidly evolving technology bringing great convenience to life but at the same time, there are also risks that need to be assessed. In this report, each of the Big Four accounting firms will be discussed on their participation in the development of artificial intelligence as well as its impact that AI has to offer. An expert in Artificial Intelligence (AI) has predicted that by 2030, around 800 million workers will be at stake as AI is deployed into the profession (Voices, 2018). This brings fear to the workers that robots could actually be a replacement for humans in the near future. However, the analysis carried out by PwC has found that AI has generated significant impact, approximately 7 million jobs will be lost in the United Kingdom, but at the same time, it also opens up job opportunities up to 7.2 million jobs, resulting in a net increase of about 200,000 employment (Frangoul, 2018). The factors affecting the companies will be analyzed through the use of SWOT analysis.
504 ## - Bibliography, Etc. Note
Bibliography, Etc. Note Includes bibliographical references and index.
610 #4 - SUBJECT ADDED ENTRY--CORPORATE NAME
Form subdivision Final Year Project
Corporate name or jurisdiction name as entry element Universiti Teknologi Brunei
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Accounting
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Auditing
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial intelligence
General subdivision Accounting.
710 ## - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Universiti Teknologi Brunei
Subordinate unit School of Business
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Local Classification
Koha item type Reports, Thesis & Dissertation Students
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Internal field Reports, Thesis & Dissertation
CC (RLIN) 829609 : 002074 c.1 UTB
Internal field Universiti Teknologi Brunei
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Public note
    Local Classification Not damaged   Universiti Teknologi Brunei Library Universiti Teknologi Brunei Library - at level 2 28/07/2020 Universiti Teknologi Brunei   UTB 120 REPORT, THESIS & DISSERTATION, RTDS 292 829609 28/07/2020 23/12/2022 Reports, Thesis & Dissertation Students Reg. no. 002074_UTB [RTDS 292]

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