Towards a political economy of algorithmic capitalism DOI Creative Commons
Martyn Egan

Capital & Class, Год журнала: 2025, Номер unknown

Опубликована: Март 16, 2025

The emergence of large language models such as GPT3 has prompted intense debate about the transformative potential generative AI to ‘revolutionise’ knowledge work and disrupt economic activity. This article represents an initial attempt problematise this phenomenon within a Marxist analytical framework. Borrowing term ‘algorithmic capitalism’ refer both broad family their anticipated effects on social form, offers two-stage analysis towards political economy new technology. First, drawing classical labour-capital relations, investigates shocks exchange value labour which are likely arise from widespread uptake AI. Second, considers semiotic AI, attempts position these literature commodity fetish via Baudrillard’s concept hyperreal. In so doing, argues that can be also understood in terms further advance fetish, meaning itself is reified.

Язык: Английский

The dark side of generative artificial intelligence: A critical analysis of controversies and risks of ChatGPT DOI Creative Commons
Krzysztof Wach, Cong Doanh Duong, Joanna Ejdys

и другие.

Entrepreneurial Business and Economics Review, Год журнала: 2023, Номер 11(2), С. 7 - 30

Опубликована: Янв. 1, 2023

Objective: The objective of the article is to provide a comprehensive identification and understanding challenges opportunities associated with use generative artificial intelligence (GAI) in business.This study sought develop conceptual framework that gathers negative aspects GAI development management economics, focus on ChatGPT. Research Design & Methods:The employed narrative critical literature review developed based prior literature.We used line deductive reasoning formulating our theoretical make study's overall structure rational productive.Therefore, this should be viewed as highlights controversies threats ChatGPT case study.Findings: Based conducted deep extensive query academic subject well professional press Internet portals, we identified various controversies, threats, defects, disadvantages GAI, particular ChatGPT.Next, grouped into clusters summarize seven main see.In opinion they are follows: (i) no regulation AI market urgent need for regulation, (ii) poor quality, lack quality control, disinformation, deepfake content, algorithmic bias, (iii) automationspurred job losses, (iv) personal data violation, social surveillance, privacy (v) manipulation, weakening ethics goodwill, (vi) widening socio-economic inequalities, (vii) technostress.Implications Recommendations: It important regulate AI/GAI market.Advocating crucial ensure level playing field, promote fair competition, protect intellectual property rights privacy, prevent potential geopolitical risks.The changing requires workers continuously acquire new (digital) skills through education retraining.As training systems becomes prominent category, it adapt take advantage opportunities.To mitigate risks related developers must prioritize ethical considerations work user security.To avoid manipulation weaken implement responsible practices guidelines: transparency usage, bias mitigation techniques, monitoring generated content harmful or misleading information.Contribution Value Added: This may aid bringing attention significance resolving legal arise from by drawing hazards these technologies.

Язык: Английский

Процитировано

247
Artificial intelligence (AI)-assisted HRM: Towards an extended strategic framework DOI
Ashish Malik, Pawan Budhwar, Bahar Ali Kazmi

и другие.

Human Resource Management Review, Год журнала: 2022, Номер 33(1), С. 100940 - 100940

Опубликована: Ноя. 16, 2022

Язык: Английский

Процитировано

94
Impact of AI-focussed technologies on social and technical competencies for HR managers – A systematic review and research agenda DOI Creative Commons

R. Deepa,

Srinivasan Sekar, Ashish Malik

и другие.

Technological Forecasting and Social Change, Год журнала: 2024, Номер 202, С. 123301 - 123301

Опубликована: Март 5, 2024

Research on the application of Artificial Intelligence (AI)-based technologies in HRM domain has attracted significant scholarly attention. Yet, few studies have consolidated key trends adopting AI for HRM, especially managerial competencies required AI-based and identifying research directions HR managers, including development an AI-focused competency framework managers. A systematic literature review (SLR) bibliometrics analysis were conducted to identify current direction managers HRM. Several themes capabilities identified, utilizing Dynamic Capabilities View (DCV). The SLR identified applications various tools techniques functions, recruitment selection was one with broadest use applications. Managerial cognitive capability, human capital, social capital DCV considered initial coding categories under which are adoption This study utilized SLR, Bibliometric, directed content as three distinct but interrelated sets methodologies extracting novel insights into It highlights associated that need mapping its adoption.

Язык: Английский

Процитировано

29
Artificial intelligence and empirical consumer research: A topic modeling analysis DOI
Shashank Vaid, Stefano Puntoni,

AbdulRahman Khodr

и другие.

Journal of Business Research, Год журнала: 2023, Номер 166, С. 114110 - 114110

Опубликована: Июнь 21, 2023

Язык: Английский

Процитировано

32
Responsible artificial intelligence in human resources management: a review of the empirical literature DOI Creative Commons
Antoine Bujold, Isabelle Roberge‐Maltais, Xavier Parent‐Rocheleau

и другие.

AI and Ethics, Год журнала: 2023, Номер 4(4), С. 1185 - 1200

Опубликована: Июль 19, 2023

Abstract As it is the case for many business processes and activities disciplines, artificial intelligence (AI) increasingly integrated in human resources management (HRM). While AI has great potential to augment HRM organizations, automating of humans not without risks limitations. The identification these fundamental promote responsible use HRM. We thus conducted a review empirical academic literature across disciplines on affordances principles This first that focuses solely studies containing observations, measurements, tests about this phenomenon. multi-domain multidisciplinary approach focus provides better understanding reality development, study, deployment sheds light how are responsibly. conclude with call research based what we identified as most needed promising avenues.

Язык: Английский

Процитировано

24
Navigating AI transitions: how coaching leadership buffers against job stress and protects employee physical health DOI Creative Commons
Jeeyoon Jeong, Byung‐Jik Kim, Julak Lee

и другие.

Frontiers in Public Health, Год журнала: 2024, Номер 12

Опубликована: Март 27, 2024

The dynamic interplay between Artificial Intelligence (AI) adoption in modern organizations and its implications for employee well-being presents a paramount area of academic exploration. Within the context rapid technological advancements, AI’s promise to revolutionize operational efficiency juxtaposes challenges relating job stress health. This study explores nuanced effects on physical health within organizational settings, investigating potential mediating role moderating influence coaching leadership. Drawing from conservation resource theory, research hypothesized that AI would negatively impact both directly indirectly through increased stress. Critically, our conceptual model underscores Further, introducing novel dimension this discourse, we postulate To empirically test hypotheses, gathered survey data 375 South Korean workers with three-wave time-lagged design. Our results demonstrated all hypotheses were supported. have significant strategies concerning implementation leadership development.

Язык: Английский

Процитировано

8
The effects of artificial intelligence on human resource activities and the roles of the human resource triad: opportunities and challenges DOI Creative Commons
Justine Dima, Marie‐Hélène Gilbert, Julie Dextras-Gauthier

и другие.

Frontiers in Psychology, Год журнала: 2024, Номер 15

Опубликована: Июнь 3, 2024

This study analyzes the existing academic literature to identify effects of artificial intelligence (AI) on human resource (HR) activities, highlighting both opportunities and associated challenges, roles employees, line managers, HR professionals, collectively referred as triad.

Язык: Английский

Процитировано

8
Examining sustainable hospitality practices and employee turnover in Pakistan: The interplay of robotics awareness, mutual trust, and technical skills development in the age of artificial intelligence DOI
Lixia Li,

Mehwish Bibi,

Yasir Hussain

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 373, С. 123922 - 123922

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

1
A Review of Artificial Intelligence, Algorithms, and Robots Through the Lens of Stakeholder Theory DOI
Michael Matthews, Runkun Su, Lindsey Yonish

и другие.

Journal of Management, Год журнала: 2025, Номер unknown

Опубликована: Фев. 5, 2025

With the arrival of Fourth Industrial Revolution, intelligent machines are affecting daily lives multiple organizational stakeholders. However, despite continued expansion in society, management scholarship has generally lagged, and current frameworks under-equipped to offer meaningful guidance regarding intersection organizations. We address this issue via a multidisciplinary review novel framework value creation. First, we discuss characteristics (i.e., autonomy, learning, inscrutability, materiality) how variation these impacts their affordances and, subsequently, offered also advance notion contingencies, which captures idea that afforded by is conditional stakeholders’ dispositions exploitation must be considered when assessing Building on our framework, recommendations for future research. Overall, forward literature showcasing often create both advantages disadvantages stakeholders demonstrate practitioners, policymakers, scholars may consider moving forward.

Язык: Английский

Процитировано

1
Digital technology and global mobility: Narrative review and directions for future research DOI Creative Commons

Jana Bucher,

Mila Lazarova,

Jürgen Deller

и другие.

International Business Review, Год журнала: 2024, Номер 34(1), С. 102294 - 102294

Опубликована: Апрель 25, 2024

Digital technology (DT) is increasingly used in the modern workplace, including global mobility managementDT transforming – or has potential to transform nearly all aspects of assignment management and more broadly. In this paper we review research published between 2000 2022 that examines how DT by those undertaking managing mobility. Our systematic narrative suggests date fragmented, mostly anecdotal, often lacks a clear theoretical base. Rather than view as an insurmountable challenge, believe it presents opportunity for developing vibrant agenda, offer suggestions hope will encourage scholars examine topic future.

Язык: Английский

Процитировано

7