Search results

1 – 9 of 9
Per page
102050
Citations:
Loading...
Access Restricted. View access options
Article
Publication date: 26 October 2012

Arjella van Scheppingen, Nico Baken, Gerard Zwetsloot, Ellen Bos and Frank Berkers

Health is a main resource for human functioning. Embedding generative health management within organisations, therefore, is useful for health and productivity reasons. Generative…

375

Abstract

Purpose

Health is a main resource for human functioning. Embedding generative health management within organisations, therefore, is useful for health and productivity reasons. Generative health management requires a change in the thinking and actions of all stakeholders, and should be regarded as a system transition that may be supported by a value case. In this study, a value case methodology is described and piloted. The aim was to investigate the efficacy of the value case methodology for generative health management within organisations.

Design/methodology/approach

This paper takes the form of a case study, in which the interactive value case methodology is piloted within a research foundation in The Netherlands.

Findings

The different perspectives from the internal stakeholders on generative health management were made explicit, and revealed a strong relation between organisational development and health. The interactive value‐case methodology has initiated a process in which stakeholders jointly defined the full value of generative health management. During that process, some stakeholders developed an active personal commitment towards the transition.

Research limitations/implications

The research was only carried out in one case. The value case methodology is potentially also useful for other transitions (long‐term complex developments or system innovations). The case study provided a broad view on the relevance of health for all stakeholders within this single case, and contributed to ownership of the transition.

Practical implications

A value case presents stakeholders' multi‐perspective visions and preferences with regard to health and organisational development. The participative approach opens up ways to an active commitment of relevant stakeholders who are willing to support transitions.

Originality/value

The methodology to assess the full value of complex transitions is still of an explorative nature. The value case methodology may offer innovative ways to support transitions in individuals, organisations and society as a whole.

Details

Journal of Human Resource Costing & Accounting, vol. 16 no. 4
Type: Research Article
ISSN: 1401-338X

Keywords

Available. Content available
Article
Publication date: 26 October 2012

Robin Roslender

263

Abstract

Details

Journal of Human Resource Costing & Accounting, vol. 16 no. 4
Type: Research Article
ISSN: 1401-338X

Access Restricted. View access options
Book part
Publication date: 19 June 2018

Pauwke Berkers and Julian Schaap

Abstract

Details

Gender Inequality in Metal Music Production
Type: Book
ISBN: 978-1-78714-674-7

Access Restricted. View access options
Book part
Publication date: 19 June 2018

Pauwke Berkers and Julian Schaap

Abstract

Details

Gender Inequality in Metal Music Production
Type: Book
ISBN: 978-1-78714-674-7

Access Restricted. View access options
Article
Publication date: 10 April 2019

Juliane Jarke

The purpose of this paper is to review interventions/methods for engaging older adults in meaningful digital public service design by enabling them to engage critically and…

981

Abstract

Purpose

The purpose of this paper is to review interventions/methods for engaging older adults in meaningful digital public service design by enabling them to engage critically and productively with open data and civic tech.

Design/methodology/approach

The paper evaluates data walks as a method for engaging non-tech-savvy citizens in co-design work. These were evaluated along a framework considering how such interventions allow for sharing control (e.g. over design decisions), sharing expertise and enabling change.

Findings

Within a co-creation project, different types of data walks may be conducted, including ideation walks, data co-creation walks or user test walks. These complement each other with respect to how they facilitate the sharing of control and expertise, and enable change for a variety of older citizens.

Practical implications

Data walks are a method with a low-threshold, potentially enabling a variety of citizens to engage in co-design activities relating to open government and civic tech.

Social implications

Such methods address the digital divide and further social participation of non-tech-savvy citizens. They value the resources and expertise of older adults as co-designers and partners, and counter stereotypical ideas about age and ageing.

Originality/value

This pilot study demonstrates how data walks can be incorporated into larger co-creation projects.

Details

Online Information Review, vol. 43 no. 6
Type: Research Article
ISSN: 1468-4527

Keywords

Access Restricted. View access options
Book part
Publication date: 15 October 2018

M. Katharina Wiedlack

This chapter analyses the presence of Russian feminists and female LGBTIQ+ activists within US-American mainstream media. In the course of a multimedia discourse analysis, it…

Abstract

This chapter analyses the presence of Russian feminists and female LGBTIQ+ activists within US-American mainstream media. In the course of a multimedia discourse analysis, it briefly raises questions of who becomes featured and how, to argue that current debates marginalise Russian queer female, trans*gender and intersex voices, compared to those of male queers. One exception to this trend is the case of the journalist and activist Masha Gessen. Together with Nadya Tolokonnikova of the protest group Pussy Riot, Gessen seems to represent Russian queers and feminists within US media. Although marginal, compared to the presence of US feminisms, especially popular culture figures such as Beyoncé Knowles-Carter or Lady Gaga, the two women become frequently featured within US news media and beyond. Frequently, those articles, interviews and discussions of their work open up a debate, or rather comparisons, between US values and Russian values, questions of modernity, progress and civilisation. Equally often, the female Russian dissidents are pictured as ‘Putin’s victims’ – the female versions of David fighting against Goliath – by focussing especially on their physical vulnerability and their female bodies. In this vein, feminism is constructed as inherently ‘Western’, while the bodies that carry out such feminisms and most of all their country of origin is entirely ‘othered’. Comparing the (self-)representations to other voices of female Russian dissent within US media, the author critically discuss the Western gaze of US mainstream media, its victimising strategies and homonationalistic construction of US identity and US nation in rejection of a ‘backward’ homophobic Russia.

Details

Subcultures, Bodies and Spaces: Essays on Alternativity and Marginalization
Type: Book
ISBN: 978-1-78756-512-8

Keywords

Access Restricted. View access options
Article
Publication date: 30 July 2024

Najeb Masoud

The purpose of the study is to investigate the impact of artificial intelligence (AI), machine learning (ML), and data science (DS) on unemployment rates across ten high-income…

563

Abstract

Purpose

The purpose of the study is to investigate the impact of artificial intelligence (AI), machine learning (ML), and data science (DS) on unemployment rates across ten high-income economies from 2015 to 2023.

Design/methodology/approach

This study takes a unique approach by employing a dynamic panel data (DPD) model with a generalised method of moments (GMM) estimator to address potential biases. The methodology includes extensive validation through Sargan, Hansen, and Arellano-Bond tests, ensuring the robustness of the results and adding a novel perspective to the field of AI and unemployment dynamics.

Findings

The study’s findings are paramount, challenging prevailing concerns in AI, ML, and DS, demonstrating an insignificant impact on unemployment and contradicting common fears of job loss due to these technologies. The analysis also reveals a positive correlation (0.298) between larger government size and higher unemployment, suggesting bureaucratic inefficiencies that may hinder job growth. Conversely, a negative correlation (−0.201) between increased labour productivity and unemployment suggests that technological advancements can promote job creation by enhancing efficiency. These results refute the notion that technology inherently leads to job losses, positioning AI and related technologies as drivers of innovation and expansion within the labour market.

Research limitations/implications

The study’s findings suggest a promising outlook, positioning AI as a catalyst for the expansion and metamorphosis of employment rather than solely a catalyst for automation and job displacement. This insight presents a significant opportunity for AI and related technologies to improve labour markets and strategically mitigate unemployment. To harness the benefits of technological progress effectively, authorities and enterprises must carefully evaluate the balance between government spending and its impact on unemployment. This proposed strategy can potentially reinvent governmental initiatives and stimulate investment in AI, thereby bolstering economic and labour market reliability.

Originality/value

The results provide significant perspectives for policymakers and direct further investigations on the influence of AI on labour markets. The analysis results contradict the common belief of technology job loss. The study’s results are shown to be reliable by the Sargan, Hansen, and Arellano-Bond tests. It adds to the discussion on the role of AI in the future of work, proposing a detailed effect of AI on employment and promoting a strategic method for integrating AI into the labour market.

Details

Technological Sustainability, vol. 4 no. 1
Type: Research Article
ISSN: 2754-1312

Keywords

Access Restricted. View access options
Book part
Publication date: 8 May 2019

Barrie Gunter

Abstract

Details

Children and Mobile Phones: Adoption, Use, Impact, and Control
Type: Book
ISBN: 978-1-78973-036-4

Access Restricted. View access options
Article
Publication date: 6 February 2023

Francina Malan and Johannes Lodewyk Jooste

The purpose of this paper is to compare the effectiveness of the various text mining techniques that can be used to classify maintenance work-order records into their respective…

123

Abstract

Purpose

The purpose of this paper is to compare the effectiveness of the various text mining techniques that can be used to classify maintenance work-order records into their respective failure modes, focussing on the choice of algorithm and preprocessing transforms. Three algorithms are evaluated, namely Bernoulli Naïve Bayes, multinomial Naïve Bayes and support vector machines.

Design/methodology/approach

The paper has both a theoretical and experimental component. In the literature review, the various algorithms and preprocessing techniques used in text classification is considered from three perspectives: the domain-specific maintenance literature, the broader short-form literature and the general text classification literature. The experimental component consists of a 5 × 2 nested cross-validation with an inner optimisation loop performed using a randomised search procedure.

Findings

From the literature review, the aspects most affected by short document length are identified as the feature representation scheme, higher-order n-grams, document length normalisation, stemming, stop-word removal and algorithm selection. However, from the experimental analysis, the selection of preprocessing transforms seemed more dependent on the particular algorithm than on short document length. Multinomial Naïve Bayes performs marginally better than the other algorithms, but overall, the performances of the optimised models are comparable.

Originality/value

This work highlights the importance of model optimisation, including the selection of preprocessing transforms. Not only did the optimisation improve the performance of all the algorithms substantially, but it also affects model comparisons, with multinomial Naïve Bayes going from the worst to the best performing algorithm.

Details

Journal of Quality in Maintenance Engineering, vol. 29 no. 3
Type: Research Article
ISSN: 1355-2511

Keywords

1 – 9 of 9
Per page
102050