Search results

1 – 10 of 172
Open Access
Article
Publication date: 1 January 2019

Ahmed Alhazmi

Recent studies in education attempt to ‘criminologise’ some of the current practices and policies of higher education institutions – that is, to deconstruct certain philosophies…

Abstract

Recent studies in education attempt to ‘criminologise’ some of the current practices and policies of higher education institutions – that is, to deconstruct certain philosophies and practices which may be discriminatory, offensive, and biased to certain social groups. Recent theoretical frameworks problematize current higher education policies, many of which are taken for granted. This paper adopts a critical perspective, shedding light on some practices as they occur in higher educational institutions, by human and non-human agencies. The study applies a ‘detective’ approach examining some problematic uses of technology a higher education institution. In this proposed approach, researchers play the role of ‘detectives’, investigating possible breaches of good practice (possibly discriminatory) committed by higher education actors (referred hereafter as ‘defendants’). Most of these offences are committed through the use of educational and institutional technologies. The purpose of this theoretical approach is to empower alienated social groups against such practices by identifying ‘defendants’ and the implications of their acts. The study uses empirical data from interviews, visits, and observations to explain the ways in which defendants respond to the accusations levelled against them by other users of educational technologies. The investigation revealed that technology was used, among many other functions, to manoeuvre around the legal and ethical system serving the interests of some stakeholders. Then, the study categorises these manoeuvres, explaining the legal implications of each category, and recommending consideration of important academic and institutional issues.

Details

Learning and Teaching in Higher Education: Gulf Perspectives, vol. 15 no. 2
Type: Research Article
ISSN: 2077-5504

Content available
150

Abstract

Details

Library Review, vol. 56 no. 8
Type: Research Article
ISSN: 0024-2535

Keywords

Content available
Article
Publication date: 31 August 2021

Charles Wellford and Thomas Scott

274

Abstract

Details

Policing: An International Journal, vol. 44 no. 4
Type: Research Article
ISSN: 1363-951X

Content available
Article
Publication date: 11 July 2008

74

Abstract

Details

Industrial and Commercial Training, vol. 40 no. 5
Type: Research Article
ISSN: 0019-7858

Abstract

Details

Journal of Criminal Psychology, vol. 10 no. 2
Type: Research Article
ISSN: 2009-3829

Content available
Article
Publication date: 16 August 2013

Willard M. Oliver

101

Abstract

Details

Policing: An International Journal of Police Strategies & Management, vol. 36 no. 3
Type: Research Article
ISSN: 1363-951X

Content available
Article
Publication date: 30 January 2007

70

Abstract

Details

Aircraft Engineering and Aerospace Technology, vol. 79 no. 1
Type: Research Article
ISSN: 0002-2667

Content available
Book part
Publication date: 11 December 2023

Gráinne Perkins

Abstract

Details

Danger in Police Culture
Type: Book
ISBN: 978-1-83753-113-4

Open Access
Article
Publication date: 8 December 2022

James Christopher Westland

This paper tests whether Bayesian A/B testing yields better decisions that traditional Neyman-Pearson hypothesis testing. It proposes a model and tests it using a large, multiyear…

1149

Abstract

Purpose

This paper tests whether Bayesian A/B testing yields better decisions that traditional Neyman-Pearson hypothesis testing. It proposes a model and tests it using a large, multiyear Google Analytics (GA) dataset.

Design/methodology/approach

This paper is an empirical study. Competing A/B testing models were used to analyze a large, multiyear dataset of GA dataset for a firm that relies entirely on their website and online transactions for customer engagement and sales.

Findings

Bayesian A/B tests of the data not only yielded a clear delineation of the timing and impact of the intellectual property fraud, but calculated the loss of sales dollars, traffic and time on the firm’s website, with precise confidence limits. Frequentist A/B testing identified fraud in bounce rate at 5% significance, and bounces at 10% significance, but was unable to ascertain fraud at the standard significance cutoffs for scientific studies.

Research limitations/implications

None within the scope of the research plan.

Practical implications

Bayesian A/B tests of the data not only yielded a clear delineation of the timing and impact of the IP fraud, but calculated the loss of sales dollars, traffic and time on the firm’s website, with precise confidence limits.

Social implications

Bayesian A/B testing can derive economically meaningful statistics, whereas frequentist A/B testing only provide p-value’s whose meaning may be hard to grasp, and where misuse is widespread and has been a major topic in metascience. While misuse of p-values in scholarly articles may simply be grist for academic debate, the uncertainty surrounding the meaning of p-values in business analytics actually can cost firms money.

Originality/value

There is very little empirical research in e-commerce that uses Bayesian A/B testing. Almost all corporate testing is done via frequentist Neyman-Pearson methods.

Details

Journal of Electronic Business & Digital Economics, vol. 1 no. 1/2
Type: Research Article
ISSN: 2754-4214

Keywords

Content available
Article
Publication date: 19 September 2019

Martin O’Neill

975

Abstract

Details

Journal of Criminological Research, Policy and Practice, vol. 5 no. 3
Type: Research Article
ISSN: 2056-3841

1 – 10 of 172