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How does artificial intelligence impact employees’ engagement in lean organisations?

Driven by the digital transformation currently pursued by organisations, artificial intelligence (AI) applications have become more frequent. Nevertheless, its impact on employees’ behaviors and attitudes is still poorly known. As employees’ engagement (EE) is a key element for a successful Lean Production (LP) implementation, there is the need to understand such AI’s implications on EE in this scenario. This paper aims to investigate the impact of AI on EE in lean organisations. We performed a qualitative-empir…

International Journal of Production Research

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Ethics and the use of generative AI in professional editing

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AI and work in the creative industries: digital continuity or discontinuity?

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Artificial intelligence will cost jobs, admits Liz Kendall

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A Framework for Future Human Resource Management Individual Competencies: An Integrative Review

The advent of automation, artificial intelligence and disruptive technologies has affected the role of the Human Resource Management (HRM) professionals and taken over some HRM functions thereby imposing new sets of competencies for HRM professionals. Yet, there is limited research on the full spectrum of competencies needed to execute the HRM function successfully in an increasingly technologically dynamic environment. Hence, the purpose of this research was to develop a framework for future HRM individual comp…

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Artificial Intelligence and Its Role in Shaping Organizational Work Practices and Culture

The advent of Artificial Intelligence (AI) is profoundly transforming organizational landscapes, significantly influencing work practices and triggering cultural shifts. This study explores the role of AI in reshaping organizational work practices and examines the resulting cultural transformation. Through a systematic literature review, this study synthesizes existing research to provide a comprehensive understanding of AI’s impact on organizational landscapes. A systematic literature review was conducted, anal…

Evidence-backed problem

The impact of AI on the labour market

This study explores the impact of artificial intelligence (AI) on the labour market, focusing on changes in job roles, skill requirements, and human resource (HR) practices. Unlike previous surveys that primarily addressed technological aspects, this research systematically integrates technological, organisational, and institutional perspectives. The literature review (2020–2025) shows that AI adoption is closely associated with rising demand for technical and interdisciplinary skills, restructuring of work role…

Evidence-backed problem

Skill-biased technological change in the age of AI: a theoretical analysis of automation and inequality

This paper develops a general equilibrium model to analyze how artificial intelligence (AI)–driven automation reshapes productivity, labor markets, and income distribution. The model features heterogeneous workers, endogenous automation decisions, and irreversible skill investment choices, allowing a unified examination of displacement, complementarity, and skill-supply responses. Automation substitutes for labor in routine tasks, reducing demand and wages for low-skilled workers, while simultaneously enhancing…

Labor

Determinants of Artificial Intelligence Adoption in Public Sector Human Resource Management: Empirical Evidence from Kazakhstan

As governments worldwide seek to modernise public administration through digital technologies, understanding the drivers and barriers of Artificial Intelligence (AI) adoption in Human Resource Management (HRM) becomes critically important. This paper investigates determinants of AI adoption among civil servants in Kazakhstan using a largescale empirical survey of 12,562 public servants conducted in June 2025. We construct and validate composite indices of internal and external HR quality factors (Cronbach's α =…

Labor

Approach or avoidance? A dual-pathway model of job crafting in response to generative AI and its impact on career sustainability

Introduction: As generative artificial intelligence (AI) is increasingly integrated into employees' daily workflows, it is profoundly reshaping the nature of work, which raises critical theoretical questions about how employees can build sustainable careers. Drawing on approach-avoidance motivation theory, this study distinguishes between two types of proactive employee adaptation to AI (i.e., AI job crafting): an approach-oriented type aimed at leveraging AI to expand job boundaries and enhance personal capabil…

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The Impacts of Generative AI on the Meaningfulness of Creative Work

Abstract Recent advances in Generative AI (GenAI) are transforming creative industries, raising urgent ethical questions. This paper explores the impacts of GenAI on the meaningfulness of work for specialist, embedded, and support creatives. By integrating Amabile’s componential model of creativity with a holistic framework of meaningful work, we explore five dimensions of meaningfulness: task integrity, skill cultivation, task significance, autonomy, and belongingness. We emphasize the dual impacts of GenAI, hi…

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A Triple-Intelligence Framework for Sustainable AI-Driven Workforce Analytics: Integrating Artificial Intelligence, Human Judgment, and Organizational Governance

The use of Artificial Intelligence (AI) within workforce analytics represents a paradigm shift in how organizations make decisions regarding their employees. While AI-enabled workforce analytics can enable proactive and predictive decision-making, the literature identifies multiple substantive risks associated with the use of AI in workforce analytics, namely: algorithmic opacity, automation bias, proxy-based discrimination, and employee surveillance. This literature gap was addressed through developing and vali…

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Redefining Accounting in the Digital Age: The Impact of Blockchain and Artificial Intelligence

The rapid advancement of emerging technologies, particularly blockchain and artificial intelligence (AI), is transforming the traditional landscape of the accounting profession. This study explores the impact of these technologies on accounting practices, auditing processes, financial reporting, and accounting education. Blockchain, with its decentralized, immutable, and transparent ledger system, has the potential to enhance data reliability, reduce fraud, and enable real-time auditing. Simultaneously, AI-drive…

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Relying on AI at work reduces self-efficacy, ownership, and meaning while active collaboration mitigates the effects

Artificial intelligence (AI) promises major productivity gains, but it also raises fundamental questions about how technology can reshape people's relationship to their work. Historical debates over industrialization warned that technological change could undermine people's connection to work and sense of meaning. Similar concerns now surround AI, where the key issue may not be whether AI is used, but how it is used. Across a pre-registered experiment (N = 269) and a follow-up survey (N = 270), we examine how di…

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Cheap Expertise: Mapping and Challenging Industry Perspectives in the Expert Data Gig Economy

Demand for expert-annotated data on the part of leading AI labs has created an expert gig economy with the potential to reshape white collar work and society’s understanding of expertise. In this research, we study the vision for the future of expertise described in the public communication of five industry data annotation organizations and their CEOs, as reflected on social media feeds and public appearances on podcasts. We find that the industry envisions AI expertise as cheap, meaning that it can offer a bett…