Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/9208
Title: Actor-Network theory perspective of robotic process automation implementation in the banking sector
Authors: Iyamu, Tiko 
Mlambo, Nontobeko 
Keywords: Actor-Network Theory;banking Institutions;Information Technology;robotic Process Automation
Issue Date: 2022
Publisher: IGI Global
Source: Iyamu, T. & Mlambo, N. 2022. Actor-Network theory perspective of robotic process automation implementation in the banking sector. International Journal of Information Technologies and Systems Approach Volume, 15(1): 1-17. [https://www.igi-global.com/gateway/article/304811] 
Journal: International Journal of Information Technologies and Systems Approach 
Abstract: Banking institutions are increasingly exploring ways to improve service delivery rather than the extreme focus and obsession of financial profitability. This has led to localising the internationality of solutions through the implementation (adoption and practice) of robotic process automation (RPA) to advance service delivery. However, the uniqueness of environmental culture and the critical roles of human actors increase challenges in some banking institutions. Consequently, the adoption of RPA poses a challenge, different from the many norms, which some banks encounter. In some institutions, this is fundamental and disruptive and questionable to human development. This study explores the challenge by following the actors using the interpretivist approach, from actor-network theory perspective (ANT). From the analysis, five fundamental factors were found to be essential to banking institutions’ operations in their quest to implement RPA. The findings provide fresh perspectives and a mixed trajectory to the adoption of RPA from the South African banking institutions’ context.
URI: https://www.igi-global.com/gateway/article/304811
http://hdl.handle.net/11189/9208
ISSN: 0065-1346
Appears in Collections:FID - Journal Articles (DHET subsidised)

Files in This Item:
File Description SizeFormat 
Actor-Network_Theory_perspective_robotic.pdf540.99 kBAdobe PDFView/Open
Show full item record

Page view(s)

187
Last Week
3
Last month
12
checked on Sep 2, 2026

Download(s)

181
checked on Sep 2, 2026

Google ScholarTM

Check


Items in Digital Knowledge are protected by copyright, with all rights reserved, unless otherwise indicated.