Entrepreneurial Algorithmic Assemblages: Theorizing Value Creation in Ai-Based Entrepreneurship DOI
Rodrigo Valadao, Cole Evan Short

Published: Jan. 1, 2024

Language: Английский

Managing a ChatGPT-empowered workforce: Understanding its affordances and side effects DOI Creative Commons
Jana Retkowsky, Ella Hafermalz, Marleen Huysman

et al.

Business Horizons, Journal Year: 2024, Volume and Issue: 67(5), P. 511 - 523

Published: April 6, 2024

Generative AI, particularly ChatGPT, creates new managerial concerns. This article addresses a crucial challenge: While employees are including the tool as their private knowledge assistant in many aspects of daily work, it is difficult for managers to see and understand impact within organization. There more literature on what ChatGPT means business, but we cannot say much long uninformed about its actual use. So, getting an insider's perspective needed think consequences organizations. The grounded qualitative study employees' experiences interacting with among 50 early adopters. First, show how employee-ChatGPT relations develop from private, experimental use into integral part work. Second, identify six affordances: searching information, brainstorming ideas, structuring content, writing first draft, embellishing text, proofing Further, highlight three looming side effects that threaten ties, quality organizations, work roles configured. Accordingly, this offers guidance managing ChatGPT-empowered workforce way aims mitigate these while harnessing opportunities.

Language: Английский

Citations

18

Future Making: Towards a Practice Perspective DOI Creative Commons
Matthias Wenzel, Laure Cabantous, Jochen Koch

et al.

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

Published: March 20, 2025

Abstract Management scholars are increasingly interested in ‘future making’, observing and theorizing how organizational actors produce enact the yet‐to‐come. However, rapid growth of conversation runs risk emptying notion future making, calling into question its meaning relevance. In response to these concerns, our Point is that there value understanding making from a practice perspective. A perspective, we argue, empirically sufficiently open account for plurality open‐endedness futures amidst continual emergence interrelated crises, large‐scale challenges, intractable technologies. Thus, it reinforces relevance research on as central part contemporary life. At same time, four practice‐based dimensions elaborated this provide sufficient conceptual specificity discern what counts does not, thereby providing solid ground cumulative theory‐building area. Our extends management studies by substantiating examining articulating clarifying perspective directs scholarly attention important areas research.

Language: Английский

Citations

2

Human-AI agency in the age of generative AI DOI Creative Commons
Sebastian Krakowski

Information and Organization, Journal Year: 2025, Volume and Issue: 35(1), P. 100560 - 100560

Published: March 1, 2025

Language: Английский

Citations

0

Effective Intellectual Capital Management as the Enabler of Future Value and Success in a Knowledge Economy DOI

Stefan Güldenberg

Knowledge management and organizational learning, Journal Year: 2025, Volume and Issue: unknown, P. 299 - 317

Published: Jan. 1, 2025

Language: Английский

Citations

0

A hybrid framework for creating artificial intelligence-augmented systematic literature reviews DOI Creative Commons

Fiza Saeed Malik,

Orestis Terzidis

Management Review Quarterly, Journal Year: 2025, Volume and Issue: unknown

Published: April 29, 2025

Abstract The integration of artificial intelligence (AI), particularly generative AI (GenAI) and large language models (LLMs), into systematic literature reviews (SLRs) represents a transformative advancement in research methodologies. This paper proposes hybrid framework combining AI’s computational power with the epistemological rigor human expertise, anchored transparency, validity, reliability, comprehensiveness, reflective agency. Through three interconnected phases—design, study collection, interpretation—the employs model selection, knowledge base curation, iterative prompt engineering to enhance scalability, uncover interdisciplinary connections, ensure methodological integrity through robust oversight. It addresses key SLR challenges, including handling vast datasets, ensuring reproducibility, maintaining epistemic while leveraging advanced capabilities. Key innovations include cyclical validation, inter-model comparisons, sensitivity testing trustworthiness mitigate biases. aligns processes ethical standards objectives by emphasizing domain-specific LLMs, reliability metrics, standardized reporting protocols. establishes SLRs as foundation for advancing complex, landscapes, harmonizing efficiency expertise.

Language: Английский

Citations

0

A New Management Paradigm in the Digital Economy DOI Creative Commons

E. I. Styazhkina

Management Sciences, Journal Year: 2025, Volume and Issue: 15(1), P. 6 - 19

Published: March 13, 2025

The aim of this study was to identify the key focal points in formation a new management paradigm amid exponential growth digital technologies and economy. primary objectives included determining conditions, development directions, levels, contradictions emerging paradigm. This research employed general scientific methods such as analysis, synthesis, grouping. A review existing theoretical practical studies on principles managerial thinking conducted, using rhizomatic approach trends connections, well alternative structuring through matrix based various points. revealed that are multidirectional, societal changes occur asynchronously differentiated manner, their effects can be both positive negative. In an era high turbulence growth, localized patterns models emerge instead universally accepted ones, making flexible systems thinkingcrucial. findings suggest rather than establishing rigid paradigm, decision-makers at all levels should navigate turbulent environment by employing different proposed serves tool for fostering systemic among leaders, allowing them consider prioritize values. novelty lies application contemporary approaches systematizing current trends, drawing post-structuralist philosophy cognitive tools. These results may useful managers professionals corporate sectors, government administration, researchers.

Language: Английский

Citations

0

Generative artificial intelligence in management research: a practical guide on mistakes to avoid DOI Creative Commons
Felix Lorenz, Solvej Lorenzen, Matheus Franco

et al.

Management Review Quarterly, Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 19, 2024

Language: Английский

Citations

1

Entrepreneurial Algorithmic Assemblages: Theorizing Value Creation in Ai-Based Entrepreneurship DOI
Rodrigo Valadao, Cole Evan Short

Published: Jan. 1, 2024

Language: Английский

Citations

0