New institutional theory and AI: toward rethinking of artificial intelligence in organizations DOI

Ihor Rudko,

Aysan Bashirpour Bonab, Maria Fedele

et al.

Journal of Management History, Journal Year: 2024, Volume and Issue: unknown

Published: April 15, 2024

Purpose This study, a theoretical article, aims to introduce new institutionalism as framework through which business and management researchers can explore the significance of artificial intelligence (AI) in organizations. Although institutional theory is fully established research program, neo-institutional literature on AI almost non-existent. There is, therefore, need develop deeper understanding both product forces an force its own right. Design/methodology/approach The authors follow top-down approach. Accordingly, first briefly describe institutionalism, trace historical development fundamental concepts: legitimacy, environment isomorphism. Then, use those basis for queries perform scoping review role Findings findings reveal that comprehensive largely absent from literature. only one many possible perspectives (both contextually novel insightful) study organizational settings. Originality/value insights illustrate how particular social fit into larger also formulate four broad questions guide interested studying AI. Finally, include section providing concrete examples AI-related dynamics management.

Language: Английский

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

et al.

Journal of Management, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 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.

Language: Английский

Citations

1
Advancing Research on the Future of Work in the Age of Artificial Intelligence (AI) DOI Creative Commons
Riikka M. Sarala, Corinne Post, Jonathan P. Doh

et al.

Journal of Management Studies, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 8, 2025

Abstract Technological developments – particularly related to artificial intelligence (AI), machine learning, and digitalization are disrupting the workplace in unprecedented ways, professional knowledge‐intensive sectors. Scholars' views on implications of these disruptions range from optimism pessimism scepticism. Disciplines vary how extensively they have considered technological developments. With much prior work focusing more macro‐level phenomena effects, role institutions, organizations individuals as well their interrelatedness remains less examined. In this introductory article special issue, we discuss scope, extent new domains change Future Work and, especially, AI. We also reflect consequences changes processes mechanisms through which will manifest. Then, introduce summarize articles included issue along above dimensions. conclude by reflecting overall contribution future directions for examining perspective management studies.

Language: Английский

Citations

0
AI types and organizational implications in various task contexts: a quantitative review from China DOI

Zhezhong Kan,

Shuming Zhao,

Wei Chi

et al.

Asia Pacific Business Review, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 28

Published: Oct. 16, 2024

This research delves into the nature of artificial intelligence (AI) and its influence on employees. We review existing definitions applications AI, categorizing it three types: embodied robots, generative predictive AI. By systematically analysing frequency various application scenarios, study levels, subjects, we identify prevalent trends gaps in current AI explore impact employees across different scenarios. The highlights significant potential to propel workforce development foster innovation within China's dynamic economy, calling for more comprehensive industries.

Language: Английский

Citations

3
Human–machine collaboration: exploring professional identity threat within the records and information management community DOI
Liah Shonhe,

Qingfei Min

Aslib Journal of Information Management, Journal Year: 2025, Volume and Issue: unknown

Published: May 8, 2025

Purpose This study explores how records and information management (RIM) practitioners perceive threats from artificial intelligence (AI) to their professional identity, these perceptions impact willingness collaborate with AI-based systems. Design/methodology/approach The research utilized the “AI identity threat framework” analyse quantitative data 404 respondents qualitative 21 participants in six Eastern Southern African countries. Data were analysed using Structural Equation Modelling technique on IMB-SPSS-AMOS software. Findings AI loss of skills/expertise, changes work autonomy significantly predicted (PIT). PIT was found negatively predict intention use proposed moderating variables had no interaction effect. Interviewees affirmed as a collaborator, temporal distance, fear job loss, need for upskilling, shifting roles predictors PIT. Research limitations/implications successfully existing framework by demonstrating its effectiveness RIM, identifying new highlighting varying across contexts. Originality/value findings contribute understudied area behavioural within RIM field context.

Language: Английский

Citations

0
Strategic Human Resource Management in the Era of Algorithmic Technologies: Key Insights and Future Research Agenda DOI Creative Commons
Sunghoon Kim, Violetta Khoreva, Vlad Vaiman

et al.

Human Resource Management, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 27, 2024

ABSTRACT This article presents a contemporary review of human resource management (HRM) research on algorithmic technologies, including artificial intelligence, machine learning, and natural language processing. By connecting these recent advancements to the long‐standing scholarly tradition HRM‐technology relations, this examines current knowledge how technologies are reshaping three key areas: (1) work structures design, (2) HR delivery activities, (3) technology workers. Using threefold conceptualization technology—the tool view, proxy ensemble view—this explores organizations employ systems enhance productivity, agency interacts with resists broader social, cultural, institutional contexts shape use algorithms in HRM. Additionally, offers suggestions for future research, highlighting unique opportunities provide scholars making enduring contributions conversations HRM technology.

Language: Английский

Citations

2
New institutional theory and AI: toward rethinking of artificial intelligence in organizations DOI

Ihor Rudko,

Aysan Bashirpour Bonab, Maria Fedele

et al.

Journal of Management History, Journal Year: 2024, Volume and Issue: unknown

Published: April 15, 2024

Purpose This study, a theoretical article, aims to introduce new institutionalism as framework through which business and management researchers can explore the significance of artificial intelligence (AI) in organizations. Although institutional theory is fully established research program, neo-institutional literature on AI almost non-existent. There is, therefore, need develop deeper understanding both product forces an force its own right. Design/methodology/approach The authors follow top-down approach. Accordingly, first briefly describe institutionalism, trace historical development fundamental concepts: legitimacy, environment isomorphism. Then, use those basis for queries perform scoping review role Findings findings reveal that comprehensive largely absent from literature. only one many possible perspectives (both contextually novel insightful) study organizational settings. Originality/value insights illustrate how particular social fit into larger also formulate four broad questions guide interested studying AI. Finally, include section providing concrete examples AI-related dynamics management.

Language: Английский

Citations

1