Опубликована: Янв. 1, 2024
Язык: Английский
Business Horizons, Год журнала: 2024, Номер 67(5), С. 511 - 523
Опубликована: Апрель 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.
Язык: Английский
Процитировано
19
Journal of Management Studies, Год журнала: 2025, Номер unknown
Опубликована: Март 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.
Язык: Английский
Процитировано
2
Information and Organization, Год журнала: 2025, Номер 35(1), С. 100560 - 100560
Опубликована: Март 1, 2025
Язык: Английский
Процитировано
0
Management Sciences, Год журнала: 2025, Номер 15(1), С. 6 - 19
Опубликована: Март 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.
Язык: Английский
Процитировано
0
Knowledge management and organizational learning, Год журнала: 2025, Номер unknown, С. 299 - 317
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Management Review Quarterly, Год журнала: 2025, Номер unknown
Опубликована: Апрель 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.
Язык: Английский
Процитировано
0
Management Review Quarterly, Год журнала: 2024, Номер unknown
Опубликована: Дек. 19, 2024
Язык: Английский
Процитировано
1
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0