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Book part
Publication date: 11 July 2024

Graham Crow

Abstract

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The Emerald Guide to Ann Oakley
Type: Book
ISBN: 978-1-80071-561-5

Abstract

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The Emerald Guide to Ann Oakley
Type: Book
ISBN: 978-1-80071-561-5

Book part
Publication date: 25 September 2024

Marcus Kreikebaum and Pratibha Singh

This contribution responds to the call of various researchers for a shift in Responsible Management Education (RME) to adopt a more human-centered and less organizational-centered…

Abstract

This contribution responds to the call of various researchers for a shift in Responsible Management Education (RME) to adopt a more human-centered and less organizational-centered approach. Service learning (SL) is introduced as a possibility to offer didactical opportunities for participants to connect real-world experiences to system thinking in various ways. We suggest an approach called a “Prism of Reflections” to pique participants' hermeneutical, technical, and emancipatory interests so they can delve deeply into local social and environmental issues and be able to connect them to broader global issues as encapsulated in the Sustainable Development Goals (SDGs). We exemplify our method by demonstrating how students reflect on their experiences working at food banks, and how they relate to concerns of sustainability, poverty, and access to food. Our research suggests that this approach offers a way to situate organizational thinking and instrumental reasoning in a larger framework that considers the aims of hermeneutics, technical and emancipatory discourses. Our findings demonstrate that there are conflicts and dissonances when connecting intersubjective real-world perceptions to emancipatory interests and technical knowledge, particularly when it comes to challenges in the realm of food.

Details

Innovation in Responsible Management Education
Type: Book
ISBN: 978-1-83549-465-3

Keywords

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…

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. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2754-1312

Keywords

Open Access
Article
Publication date: 24 June 2024

Olayombo Elizabeth Akinwale, Olusegun Emmanuel Akinwale and Owolabi Lateef Kuye

Employability skills have transformed from the acquisition of university degrees to possessions of cognate skills other than only degrees that can help employees secure…

Abstract

Purpose

Employability skills have transformed from the acquisition of university degrees to possessions of cognate skills other than only degrees that can help employees secure employment in contemporary work environments. This study evaluates essential skills that will prepare millennia of youths and graduates for employment in the present job market. The study investigated four major hypotheses to underscore the employability opportunities of graduates in challenging 21st-century work environments.

Design/methodology/approach

To clearly gain an understanding of women’s disparity in society, the study employed a qualitative approach to evaluate the incidence of gender prejudice in a men’s dominant world. The study utilised two distinguished sampling strategies, purposive and snowballing sampling techniques, which were deemed suitable and useful due to the nature of the study. The study recruited 42 participants by conducting semi-structured interview sessions for the study. The study employed a deductive approach to analyse the data obtained from participants. A thematic content analysis was used to take away prejudice and establish an overarching impression of the interviewed data. Atlas.ti was used to analyse the transcribed interview data from the participants to establish common themes from the surveyed informants.

Findings

The results of this investigation indicated that there is a deep-rooted trend of institutionalised men’s dominance in politics and religious leadership. Women perceived less representation and men dominated the two domains of existence in their local environment. The study established that women are optimistic about a turnaround narrative on gender equality in politics and religious leadership. They expressed their concern about strengthened public debate and campaigns on women’s representation, and against gender discrimination. The study further shows that women are influencing the ethical and moral sense for change against women’s neglect in society. They expressed their concerns against the selection of people into political offices for elected political posts and observed the peculiarity of political godfathers fixing their favourite men into those offices.

Originality/value

The study discovered that women are leading campaigns for their representation in politics as well as church leadership today. The novelty of this study bothering around two domains of women’s lives – politics and religion, in particular, church leadership. These have not been evidence before in a study.

Details

IIMT Journal of Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2976-7261

Keywords

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