Competitive Edge Through Flexible Work Organization: Evidence from the UK Electronics Industry

Author(s):  
Paul Forrester ◽  
John Hassard ◽  
Louise McArdle ◽  
Michael Rawlinson
1991 ◽  
Vol 14 (10) ◽  
pp. 35-35
Author(s):  
Louise McArdle ◽  
John Hassard ◽  
Paul Forrester ◽  
Stephen Proctor

Author(s):  
Jon Talbot

The rapid development of open educational resources (OER) and massive open online courses (MOOCs) has resulted for the first time in high quality higher education learning materials being freely available to anyone in the world who has access to the internet. While the emphasis in the literature is principally upon such matters as technology and cost pressures, rather less attention has been paid to ways in which pedagogical practices can be adapted to address these changes. This chapter reports on a UK university where innovative pedagogical practices have developed over a twenty-year period, which enables such adaptation. The development of a flexible work based learning framework enables the exploitation of these developments for the benefit of learners, tutors, and the university. The case study also highlights the importance of quality assurance and cost as key to competitive advantage in an increasingly globalised context.


ILR Review ◽  
1994 ◽  
Vol 47 (2) ◽  
pp. 173-188 ◽  
Author(s):  
Paul Osterman

The author, using data on 694 U.S. manufacturing establishments from a 1992 survey, examines the incidence of innovative work practices (teams, job rotation, quality circles, and Total Quality Management) and investigates what variables, including human resource practices, are associated with the adoption of these practices. He finds that about 35% of private sector establishments with 50 or more employees made substantial use of flexible work organization in 1992. Some factors associated with an establishment's adoption of these practices are being in an internationally competitive product market, having a technology that requires high levels of skill, following a “high road” strategy that emphasizes variety, service, and quality rather than low cost, and using such human resource practices as high levels of training and innovative pay systems.


2019 ◽  
Vol 26 (2) ◽  
pp. 634-646 ◽  
Author(s):  
Peter Yeoh

PurposeThis purpose of this viewpoint is to address the intended good and unintended bad impacts of artificial intelligence (AI) applications in financial crime.Design/methodology/approachThe paper relied primarily on secondary data resources, business cases and relevant laws and regulations, and it used a legal-economics perspective.FindingsCurrent AI systems could function as antidotes or accelerator of financial crime, in particular cybercrime. Research suggests criminal law could be applied via three approaches to curb these cybercrimes. However, others considered this to be an inappropriate mechanism to hold AI agents accountable, as present AI systems were not deemed capable of making ethically informed choices. Instead, administrative sanctions would be considered more appropriate for now. While keeping vigilance against AI malicious acts, regulatory authorities in the USA and the UK have opted largely for the innovation-friendly, market-oriented, permissionless approach over the state-interventionist stance so as to maintain their global competitive edge in this domain.Originality/valueThe paper reinforced the growing arguments that AI applications should be deployed more as panacea for financial crimes rather than being abused as crime accelerators. There equally though is the need for both public and private sectors to be mindful of the unintended negative, harmful consequences to society, especially those connected to cybercrime. This implied the further need to beef up attention and resources to help mitigate these risks.


2019 ◽  
Vol 5 ◽  
pp. 1
Author(s):  
Ibrahim A. Onour ◽  
Alberto Assandri ◽  
Mai M. Abdo ◽  
◽  
◽  
...  

To investigate the association between return to scale (RTS) and profitability in the United Kingdom banking sector, we adopted logistic regression analysis, using sample sizes of 135, 140, and 121 banks for the years 2016, 2015, and 2014, respectively. Our findings indicate a positive and statistically significant association between profits as measured by return on assets (ROA) and increasing RTS during the three years of the sample period. We also investigated the relationship between bank size as represented by the log of total deposits and RTS. Our findings also indicate that bigger banks show increasing RTS, but with decreasing rate, as represented by the negative coefficient of the square of the log of deposits. To investigate further the link between bank size and operating cost with ROA, we employed panel data regression, covering the sample period (2011-2016) for the largest 25 banks. Our results show that there is a positive and significant association between ROA and the total assets of the largest banks, but the operating expenses impact negatively on the ROA. More specifically, 1% increase in total assets increase ROA by 2, and 1% increase in the operating expenses reduce ROA by 1.7%. These results imply that bigger banks in the United Kingdom’s banking sector are able to gain competitive edge in attracting deposits as they operate along the downward sloping portion of average operating cost curve.


2006 ◽  
Vol 40 (7) ◽  
pp. 707-725 ◽  
Author(s):  
Chris Hendry ◽  
James Brown

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