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Open Access
Article
Publication date: 25 October 2022

Lisa Berntsen, Anita Böcker, Tesseltje De Lange, Sandra Mantu and Natalia Skowronek

With a focus on the position of EU mobile workers in the Dutch meat industry, this article discusses the multi-level State efforts to enhance protection of workers who experienced…

Abstract

Purpose

With a focus on the position of EU mobile workers in the Dutch meat industry, this article discusses the multi-level State efforts to enhance protection of workers who experienced limited protection of existing State and private enforcement institutions. The COVID-19 pandemic, with virus outbreaks at Dutch meat plants, fuelled public and political will to structurally improve these workers' precarious work and living conditions. Yet, the process of policy change is slow. The authors show it is the gradual transformation in the institutional environment that the State needs to counter to become more protective for EU mobile workers.

Design/methodology/approach

Using the gradual institutional change approach and the concept of State ignorance, the authors examine State responses drawing on interviews with expert stakeholders in the public and private domain, public administration records and newspaper articles.

Findings

Through knowledge creation, boosted social dialogue mechanisms, enhanced enforcement capacity and new housing legislation, the Dutch State focuses on countering gradual institutional change through which existing institutions lost their effectiveness as protectors of EU mobile workers. The organization of work is, nevertheless, not (yet) fundamentally addressed with tighter public legislation.

Originality/value

The findings contribute to a more nuanced understanding of the role of the State as multifaceted actor in institutional change processes towards increased protection for EU mobile workers.

Details

International Journal of Sociology and Social Policy, vol. 43 no. 3/4
Type: Research Article
ISSN: 0144-333X

Keywords

Article
Publication date: 9 March 2022

G.L. Infant Cyril and J.P. Ananth

The bank is termed as an imperative part of the marketing economy. The failure or success of an institution relies on the ability of industries to compute the credit risk. The…

Abstract

Purpose

The bank is termed as an imperative part of the marketing economy. The failure or success of an institution relies on the ability of industries to compute the credit risk. The loan eligibility prediction model utilizes analysis method that adapts past and current information of credit user to make prediction. However, precise loan prediction with risk and assessment analysis is a major challenge in loan eligibility prediction.

Design/methodology/approach

This aim of the research technique is to present a new method, namely Social Border Collie Optimization (SBCO)-based deep neuro fuzzy network for loan eligibility prediction. In this method, box cox transformation is employed on input loan data to create the data apt for further processing. The transformed data utilize the wrapper-based feature selection to choose suitable features to boost the performance of loan eligibility calculation. Once the features are chosen, the naive Bayes (NB) is adapted for feature fusion. In NB training, the classifier builds probability index table with the help of input data features and groups values. Here, the testing of NB classifier is done using posterior probability ratio considering conditional probability of normalization constant with class evidence. Finally, the loan eligibility prediction is achieved by deep neuro fuzzy network, which is trained with designed SBCO. Here, the SBCO is devised by combining the social ski driver (SSD) algorithm and Border Collie Optimization (BCO) to produce the most precise result.

Findings

The analysis is achieved by accuracy, sensitivity and specificity parameter by. The designed method performs with the highest accuracy of 95%, sensitivity and specificity of 95.4 and 97.3%, when compared to the existing methods, such as fuzzy neural network (Fuzzy NN), multiple partial least squares regression model (Multi_PLS), instance-based entropy fuzzy support vector machine (IEFSVM), deep recurrent neural network (Deep RNN), whale social optimization algorithm-based deep RNN (WSOA-based Deep RNN).

Originality/value

This paper devises SBCO-based deep neuro fuzzy network for predicting loan eligibility. Here, the deep neuro fuzzy network is trained with proposed SBCO, which is devised by combining the SSD and BCO to produce most precise result for loan eligibility prediction.

Details

Kybernetes, vol. 52 no. 8
Type: Research Article
ISSN: 0368-492X

Keywords

Open Access
Article
Publication date: 26 December 2023

Mehmet Kursat Oksuz and Sule Itir Satoglu

Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response…

Abstract

Purpose

Disaster management and humanitarian logistics (HT) play crucial roles in large-scale events such as earthquakes, floods, hurricanes and tsunamis. Well-organized disaster response is crucial for effectively managing medical centres, staff allocation and casualty distribution during emergencies. To address this issue, this study aims to introduce a multi-objective stochastic programming model to enhance disaster preparedness and response, focusing on the critical first 72 h after earthquakes. The purpose is to optimize the allocation of resources, temporary medical centres and medical staff to save lives effectively.

Design/methodology/approach

This study uses stochastic programming-based dynamic modelling and a discrete-time Markov Chain to address uncertainty. The model considers potential road and hospital damage and distance limits and introduces an a-reliability level for untreated casualties. It divides the initial 72 h into four periods to capture earthquake dynamics.

Findings

Using a real case study in Istanbul’s Kartal district, the model’s effectiveness is demonstrated for earthquake scenarios. Key insights include optimal medical centre locations, required capacities, necessary medical staff and casualty allocation strategies, all vital for efficient disaster response within the critical first 72 h.

Originality/value

This study innovates by integrating stochastic programming and dynamic modelling to tackle post-disaster medical response. The use of a Markov Chain for uncertain health conditions and focus on the immediate aftermath of earthquakes offer practical value. By optimizing resource allocation amid uncertainties, the study contributes significantly to disaster management and HT research.

Details

Journal of Humanitarian Logistics and Supply Chain Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2042-6747

Keywords

Book part
Publication date: 2 August 2023

Michael Branch

Violence as a foundational element of police work is continuously reaffirmed and justified through police labour as ‘violence workers’ (Seigel, 2018). Hiring more female police…

Abstract

Violence as a foundational element of police work is continuously reaffirmed and justified through police labour as ‘violence workers’ (Seigel, 2018). Hiring more female police officers has recently been seen as a way to reduce police violence. However, would employing more female officers change the relationship between policing and violence? Arguments in favour of more female police tend to rely on stereotypical understandings of gender, emphasising that women are naturally less aggressive and more likely to be caring and compassionate, often obscuring the violence enacted by female police officers in doing so. Female officers may be more likely to engage in violence out of necessity due to police culture and occupational norms around the use of force. Examining female police across countries such as the United States, Nigeria and Slovenia, this chapter establishes female police violence as a broader pattern, reflects on how female officers participate in police violence and addresses the extent to which masculinised police culture structures the expression of police violence. This chapter concludes with a discussion of why hiring more female police officers is not an adequate solution for reducing police violence, as police officers enact and are complicit in violence, regardless of gender.

Details

The Emerald International Handbook of Feminist Perspectives on Women’s Acts of Violence
Type: Book
ISBN: 978-1-80382-255-6

Keywords

Article
Publication date: 8 November 2022

Liam Foster, Sam Wai Kam Yu and Ruby Chui Man Chau

This article aims to link discussions of the role of earnings-related pension measures with time in Hong Kong (HK) and the United Kingdom (UK). It presents a new conceptual…

Abstract

Purpose

This article aims to link discussions of the role of earnings-related pension measures with time in Hong Kong (HK) and the United Kingdom (UK). It presents a new conceptual “time-based framework” to explore two related types of government response to the way people accumulate pension incomes through participation in paid work. The first is to consider governments' perceptions of appropriate time in work and retirement. The second is to consider how governments use pension measures to influence the connection between the amount of time people spend in paid work and retirement.

Design/methodology/approach

This is a conceptual paper. The time-based framework is developed using literature concerning discretionary time and the social construction of time. To explore the empirical significance of this framework, the authors discuss how it can be applied to the analysis of earnings-related pension measures in HK and the UK.

Findings

The evidence generated from the discussion of the earnings-related pension measures in HK and the UK shows that pension policies can serve both as a financial and time instrument. At the same time as influencing the connection between the amount of time people spend in paid work and the pensions they can accumulate, pension policies can be used to convey the government's views on important time issues, namely the appropriate length of time in work and retirement, and the relative value of the time spent in paid work and providing informal care.

Originality/value

A new framework is developed to explore the connection between the studies of earnings-related pension measures and time, which is an understudied area.

Details

International Journal of Sociology and Social Policy, vol. 43 no. 9/10
Type: Research Article
ISSN: 0144-333X

Keywords

Article
Publication date: 7 February 2023

Michael Touchton, Stephanie McNulty and Brian Wampler

Participatory budgeting's (PB’s) proponents hope that bringing development projects to historically underserved communities will improve well-being by extending infrastructure and…

Abstract

Purpose

Participatory budgeting's (PB’s) proponents hope that bringing development projects to historically underserved communities will improve well-being by extending infrastructure and services. This article details the logic connecting PB to well-being, describes the evolution of PB programs as they spread around the world and consolidates global evidence from research that tests hypotheses on PB's impact. The purpose of this paper is to address these issues.

Design/methodology/approach

Unstructured literature review and comparative case study across five global regions.

Findings

The authors find evidence for PB's impact on well-being in several important contexts, mostly not only in Brazil, but also in Peru and South Korea. They also find that very few rigorous, large-N, comparative studies have evaluated the relationship between PB and well-being and that the prospects for social accountability and PB's sustainability for well-being are not equally strong in all contexts. They argue that PB has great potential to improve well-being, but program designs, operational rules and supporting local conditions must be favorable to realize that potential.

Originality/value

This is one of the few efforts to build theory on where and why the authors would expect to observe relationships between PB and well-being. It is also one of the first to consolidate global evidence on PB's impact.

Details

Journal of Public Budgeting, Accounting & Financial Management, vol. 36 no. 1
Type: Research Article
ISSN: 1096-3367

Keywords

Open Access
Book part
Publication date: 30 November 2023

Wen Wen and Simon Marginson

This paper focuses on governance in higher education in China. It sees that governance as distinctive on the world scale and the potential source of distinctiveness in other…

Abstract

This paper focuses on governance in higher education in China. It sees that governance as distinctive on the world scale and the potential source of distinctiveness in other domains of higher education. By taking an historical approach, reviewing relevant literature and drawing on empirical research on governance at one leading research university, the paper discusses system organisation, government–university relations and the role of the Communist Party (CCP), centralisation and devolution, institutional leadership, interior governance, academic freedom and responsibility, and the relevance of collegial norms. It concludes that the party-state and Chinese higher education will need to find a Way in governance that leads into a fuller space for plural knowledges, ideas and approaches. This would advance both indigenous and global knowledge, so helping global society to also find its Way.

Open Access
Article
Publication date: 10 September 2021

Rafik Medjati, Hanifi Zoubir and Brahim Medjahdi

In the Lorentz Heisenberg space H3 endowed with flat metric g3, a translation surface is parametrized by r(x, y) = γ1(x)*γ2(y), where γ1 and γ2 are two planar curves lying in…

Abstract

Purpose

In the Lorentz Heisenberg space H3 endowed with flat metric g3, a translation surface is parametrized by r(x, y) = γ1(x)*γ2(y), where γ1 and γ2 are two planar curves lying in planes, which are not orthogonal. In this article, we classify translation surfaces in H3, which satisfy some algebraic equations in terms of the coordinate functions and the Laplacian operator with respect to the first fundamental form of the surface.

Design/methodology/approach

In this paper, we classify some type of space-like translation surfaces of H3 endowed with flat metric g3 under the conditionΔri = λiri. We will develop the system which describes surfaces of type finite in H3. For solve the system thus obtained, we will use the calculation variational. Finally, we will try to give performances geometric surfaces that meet the condition imposed.

Findings

Classification of six types of translation surfaces of finite type in the three-dimensional Lorentz Heisenberg group H3.

Originality/value

The subject of this paper lies at the border of geometry differential and spectral analysis on manifolds. Historically, the first research on the study of sub-finite type varieties began around the 1970 by B.Y.Chen. The idea was to find a better estimate of the mean total curvature of a compact subvariety of a Euclidean space. In fact, the notion of finite type subvariety is a natural extension of the notion of a minimal subvariety or surface, a notion directly linked to the calculation of variations. The goal of this work is the classification of surfaces in H3, in other words the surfaces which satisfy the condition/Delta (ri) = /Lambda (ri), such that the Laplacian is associated with the first, fundamental form.

Details

Arab Journal of Mathematical Sciences, vol. 29 no. 2
Type: Research Article
ISSN: 1319-5166

Keywords

Book part
Publication date: 28 June 2023

Xinru Liu and Honggen Xiao

Abstract

Details

Poverty and Prosperity
Type: Book
ISBN: 978-1-80117-987-4

Book part
Publication date: 27 November 2023

Bahaudin G. Mujtaba, Frank J. Cavico and Tipakorn Senathip

Appearance is part of a person's non-verbal communication, and looks are often associated with the perceived ‘attractiveness’ of individuals for hiring practices in the workplace…

Abstract

Appearance is part of a person's non-verbal communication, and looks are often associated with the perceived ‘attractiveness’ of individuals for hiring practices in the workplace. As such, physical attractiveness can be a ‘prized possession’ when it comes to leaving a positive impression on managers who are interviewing candidates. In the twenty-first century environment, our society seems to be more obsessed with physical appearance than ever before because society has conditioned us to associate beauty with other favourable characteristics. Of course, such appearance norms, regarding attractiveness, ‘good looks’ and beauty are linked to years of socialisation in culture, cultural norms and materialistic personality standards.

In a business context, managers and employers often make hiring decisions based on the appearance and attractiveness of the job applicants since outward appearance seems to play a significant role in which candidates eventually might get the job. Physically attractive job applicants and candidates tend to benefit from the unearned privilege, which often comes at a cost to others who are equally qualified. Preferring employees who are deemed to be attractive, and consequently discriminating against those who are perceived as unattractive, can present legal and ethical challenges for employers and managers. In this chapter, we provide a discussion and reflection of appearance-based hiring practices in the United States with relevant legal, ethical and practical implications for employers, human resources professionals and managers. We focus on ‘lookism’ or appearance discrimination, which is discrimination in favour of people who are physically attractive. As such, we examine federal, state and local laws regarding appearance discrimination in the American workplace. We also offer sustainable policy recommendations for employers, HR professionals and managers on how they can be fair to all candidates in order to hire, promote and retain the most qualified professionals in their departments and organisations.

Details

The Emerald Handbook of Appearance in the Workplace
Type: Book
ISBN: 978-1-80071-174-7

Keywords

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