scholarly journals Application of the global computing curriculum guidelines and skills frameworks for competency discovery and analysis: a case study of data analytics

2021 ◽  
Author(s):  
Emre Erturk

The current global computing curriculum guidelines including MISI2016, IT2017 and IS2020 are built to promote and facilitate competency-based higher education programs development and to enhance graduate employability. Their applications however are facing challenges in understanding, interpretation and operationalization. Taking data analytics and data engineering, this study shows how these guidelines are used to discover and analyze competencies, the boundaries between typical IT and IS programs and between IS undergraduate and postgraduate programs and further, the gaps for these programs to fill to incorporate professional practice competencies. The global skills frameworks are invoked and SFIA 7 is used to assist analysis.

2020 ◽  
Vol 42 (6) ◽  
pp. 915-931
Author(s):  
Ben Egliston

This article develops the concept of ‘surveillance technicity’ – drawn out of a reading of the notion of ‘surveillance capitalism’ alongside Stiegler’s account of mediated (temporal) perception – to think about how modern software interfaces capture and circulate data to do with user activity in order to condition user perception and behaviour in commercially desirable ways. In this article, I focus on an original case study of data analytics tools in videogames. I concentrate on the case of DotaPlus, an analytics tool for the popular multiplayer game Dota 2, arguing that positive gameplay experiences – or affective states – are shaped through the capture and relay of different forms of player data, yielded through various modes of surveillance. To think through the different temporalising effects of DotaPlus, and the mediation of different kinds of affective states, this article focuses on three distinct sites of surveillance: (1) self-surveillance, (2) lateral surveillance and (3) machine surveillance.


2019 ◽  
Author(s):  
R. Subhashini ◽  
B. Keerthi Samhitha ◽  
Suja Cherukullapurath Mana ◽  
Jithina Jose
Keyword(s):  

2020 ◽  
Vol 34 (4) ◽  
pp. 75-103 ◽  
Author(s):  
Aasmund Eilifsen ◽  
Finn Kinserdal ◽  
William F. Messier ◽  
Thomas E. McKee

SYNOPSIS This study explores the use of audit data analytics (ADA) in current audit practice. First, we interviewed the heads of professional practice of five international public accounting firms in Norway. We find that they differ in strategies on how to implement ADA and the heads report significant uncertainty about the supervisory inspection authorities' response to the use of ADA. Second, we administered a questionnaire to 216 engagement partners and managers about their perceptions of ADA and their actual ADA use on 109 audit engagements. Overall, the attitudes toward ADA usefulness are positive. Analysis of the audit engagements suggests use of ADA is relatively limited and use of more “advanced” ADA is rare. More ADA are used for clients with integrated ERP/IT systems and for newly tendered audit engagements. We also provide details of ADA use on each phase of the audit. We discuss our findings from an institutional theory perspective. Data Availability: The data used in this study are confidential by agreement with the participants.


Sign in / Sign up

Export Citation Format

Share Document