Search results

1 – 3 of 3
Book part
Publication date: 8 August 2023

Jules Boykoff

Political dissent threads through the history of the Olympic Games. Although the International Olympic Committee (IOC) openly prohibits athletes from injecting politics into the…

Abstract

Political dissent threads through the history of the Olympic Games. Although the International Olympic Committee (IOC) openly prohibits athletes from injecting politics into the Games, Olympians have nevertheless staged protests, using the Olympics to challenge the predominant power structures and institutions. This chapter analyzes outbursts of athlete activism in the context of wider social movements that make these political paroxysms more viable. Social movements scythe political space for athletes, spark athletes' political imaginary, and provide support and cover. From the early days of the Games, Olympic athletes have expressed dissent, as when Irish track-and-field athlete Peter O'Connor rebelled against British colonialism at the 1906 Olympics in Athens. At the Mexico City 1968 Games, Czech gymnast Vera Čáslavská carried out a politically symbolic acts as did US sprinters John Carlos, Tommie Smith, and Wyomia Tyus. At the 1972 Munich Games, US track medalists Vincent Matthews and Wayne Collett protested in nonchalant fashion on the medal stand. At the 1980 Olympics, Polish Olympian Władysław Kozakiewicz issued politically provocative symbology on the pole vault mat that challenged Soviet hegemony. In the twenty-first century, numerous Olympians have made political statements, despite a rule in the Olympic Charter that forbids such activity. In each case, athlete activists were bolstered by vibrant political movements in their home country. In this chapter, I trace the relationship between political Olympians and social movements as well as the wider dialectic of resistance and restriction that encompasses the interplay between dissident Olympians and the IOC.

Article
Publication date: 27 March 2023

Barnabas Jossy Ishaya, Dimitrios Paraskevadakis, Alan Bury and David Bryde

The globalisation of supply chains has contributed to modern slavery by degrading labour standards and work practices. The inherent difficulties involved in monitoring extremely…

Abstract

Purpose

The globalisation of supply chains has contributed to modern slavery by degrading labour standards and work practices. The inherent difficulties involved in monitoring extremely fragmented production processes also render workers in and from developing countries vulnerable to labour exploitation. This research adopts a benchmark methodology that will help examine the inherent modern slavery challenges.

Design/methodology/approach

This study examines how the benchmark model, including governance, risk assessment, purchasing practice, recruitment and remedy of victims, addresses supply chain modern slavery challenges. The proposed hypotheses are tested based on the reoccurring issues of modern slavery in global supply chains.

Findings

Estimations suggest that modern slavery is a growing and increasingly prominent international problem, indicating that it is the second largest and fastest growing criminal enterprise worldwide except for narcotics trafficking. These social issues in global supply chains have drawn attention to the importance of verifying, monitoring and mapping supply chains, especially in lengthy and complex supply chains. However, the advent of digital technologies and benchmarking methodologies has become one of the existing key performance indicators (KPIs) for measuring the effectiveness of modern slavery initiatives in supply chains.

Originality/value

This review provides an understanding of the current situation of global supply chains concerning the growing social issue of modern slavery. However, this includes various individual specialities relating to global supply chains, modern slavery, socially sustainable supply chain management (SCM), logistic social responsibility, corporate social responsibility and digitalisation. Furthermore, the review provided important implications for researchers examining the activities on benchmarking the effectiveness of the existing initiatives to prevent modern slavery in the supply chains.

Details

Benchmarking: An International Journal, vol. 31 no. 2
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 17 March 2023

Stewart Jones

This study updates the literature review of Jones (1987) published in this journal. The study pays particular attention to two important themes that have shaped the field over the…

Abstract

Purpose

This study updates the literature review of Jones (1987) published in this journal. The study pays particular attention to two important themes that have shaped the field over the past 35 years: (1) the development of a range of innovative new statistical learning methods, particularly advanced machine learning methods such as stochastic gradient boosting, adaptive boosting, random forests and deep learning, and (2) the emergence of a wide variety of bankruptcy predictor variables extending beyond traditional financial ratios, including market-based variables, earnings management proxies, auditor going concern opinions (GCOs) and corporate governance attributes. Several directions for future research are discussed.

Design/methodology/approach

This study provides a systematic review of the corporate failure literature over the past 35 years with a particular focus on the emergence of new statistical learning methodologies and predictor variables. This synthesis of the literature evaluates the strength and limitations of different modelling approaches under different circumstances and provides an overall evaluation the relative contribution of alternative predictor variables. The study aims to provide a transparent, reproducible and interpretable review of the literature. The literature review also takes a theme-centric rather than author-centric approach and focuses on structured themes that have dominated the literature since 1987.

Findings

There are several major findings of this study. First, advanced machine learning methods appear to have the most promise for future firm failure research. Not only do these methods predict significantly better than conventional models, but they also possess many appealing statistical properties. Second, there are now a much wider range of variables being used to model and predict firm failure. However, the literature needs to be interpreted with some caution given the many mixed findings. Finally, there are still a number of unresolved methodological issues arising from the Jones (1987) study that still requiring research attention.

Originality/value

The study explains the connections and derivations between a wide range of firm failure models, from simpler linear models to advanced machine learning methods such as gradient boosting, random forests, adaptive boosting and deep learning. The paper highlights the most promising models for future research, particularly in terms of their predictive power, underlying statistical properties and issues of practical implementation. The study also draws together an extensive literature on alternative predictor variables and provides insights into the role and behaviour of alternative predictor variables in firm failure research.

Details

Journal of Accounting Literature, vol. 45 no. 2
Type: Research Article
ISSN: 0737-4607

Keywords

Access

Year

Last 12 months (3)

Content type

1 – 3 of 3