Artificial intelligence: an opportunity or a threat to good decision-making? Using systems thinking to examine values in an intercultural framework DOI
Rong Du, Mingqian Li, Shizhong Ai

et al.

Journal of Decision System, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 21

Published: Nov. 14, 2024

Artificial Intelligence (AI) is being used globally. But its spread limited by challenges associated with trust. Intercultural trust, as required for AI a global remit, requires common framework. Systems thinking provides such value-reflective framework, and was to examine values in design, implementation, use. A method of integrative systems proposed, which synthesises Western approach Chinese approach, incorporating value assessments the both cultures. Open-ended questions were developed, put, comparison, international expert respondents, ChatGPT system, embedded Microsoft's New Bing. Half assumed that good, other half took contrary point view. The results from experts line one another, suggesting priority issue users should be clear about AI, helping decision-making..

Language: Английский

Here, There and Everywhere: On the Responsible Use of Artificial Intelligence (AI) in Management Research and the Peer‐Review Process DOI Open Access
Caroline Gatrell, Daniel Muzio, Corinne Post

et al.

Journal of Management Studies, Journal Year: 2024, Volume and Issue: 61(3), P. 739 - 751

Published: Jan. 30, 2024

Abstract This editorial introduces and explains the Journal of Management Studies’ (JMS) new policy on artificial intelligence (AI) . We reflect use AI in conducting research generating journal submissions what this means for wider JMS community, including our authors, reviewers, editors, readers. Specifically, we consider how AI‐generated text could both assist augment publication process, as well harm it. Consequentially, acknowledges need careful oversight regarding to authoring texts data analyses, while also noting importance requiring authors be transparent about how, when where they have utilized their or underlying research. Additionally, examine ways AI's may antithetical spirit a quality like that values human voice transparency. Our why require author teams oversee all aspects within projects, take personal responsibility accuracy explain prohibition peer‐reviewers’ evaluations submissions, editors’ handling manuscripts.

Language: Английский

Citations

26
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
ChatGPT Undermines Human Reflexivity, Scientific Responsibility and Responsible Management Research DOI
Dirk Lindebaum, Peter Fleming

British Journal of Management, Journal Year: 2023, Volume and Issue: 35(2), P. 566 - 575

Published: Nov. 20, 2023

Abstract With ChatGPT being promoted to and by academics for writing scholarly articles more effectively, we ask what kind of knowledge does produce, this means our reflexivity as responsible management educators/researchers, how an absence disqualifies us from shaping in ways. We urgently need grasp makes human distinct compared with generated et al. Thus, first explain operates unpack its intrinsic epistemological limitations. Using high‐probability choices that are derivative, has no stake the it produces is thus likely prone offering irresponsible outputs. By contrast, genuine thinking—embodied a contingent socio‐cultural setting—uses low‐probability both ‘inside’ ‘outside’ box training data, making creative, contextual committed. conclude use wholly incompatible scientific responsibility management.

Language: Английский

Citations

37
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
Algorithm for Managerial Decision-Making Using Big Data and AI DOI
Anton S. Smetanin, Aktam U. Burkhanov, A. M. Chililov

et al.

Studies in big data, Journal Year: 2025, Volume and Issue: unknown, P. 13 - 21

Published: Jan. 1, 2025

Language: Английский

Citations

0
Behavioral economics, artificial intelligence and entrepreneurship: an updated framework for management DOI Creative Commons
José Ramón Saura,

Rita Bužinskienė

International Entrepreneurship and Management Journal, Journal Year: 2025, Volume and Issue: 21(1)

Published: March 28, 2025

Language: Английский

Citations

0
Capturing a moving target: Developing research on and with AI for Human Relations DOI
Jakob Stollberger, Smriti Anand,

Penny Dick

et al.

Human Relations, Journal Year: 2025, Volume and Issue: unknown

Published: April 11, 2025

Artificial intelligence (AI) has become part and parcel of scientific knowledge production since the latest iterations generative AI models (e.g., ChatGPT, DeepSeek, Claude, or Gemini) became widely available. Given rapidly evolved initial release ChatGPT in 2022, researching how AI’s capabilities impact organizations researchers make use tools can be likened to a moving target. In this editorial essay, we explore implications introduction context academic research, both as subject investigation (i.e., research on AI) tool facilitate writing, data generation, peer review process with AI). Specifically, concerning AI, consider issues around clarity regarding existing definitions concepts literature these are influenced by rapid technological evolution capabilities. regard reflect advantages disadvantages discuss Human Relations Usage Policy . Overall, our aim is not overly prescriptive conduct but encourage authors best capture target their endeavors.

Language: Английский

Citations

0
Generative Artificial Intelligence as Hypercommons: Ethics of Authorship and Ownership DOI Creative Commons
Gazi Islam, Michelle Greenwood

Journal of Business Ethics, Journal Year: 2024, Volume and Issue: 192(4), P. 659 - 663

Published: July 1, 2024

Abstract In this editorial essay, we argue that Generative Artificial Intelligence programs (GenAI) draw on what term a “hypercommons”, involving collectively produced inputs and labour are largely invisible or untraceable. We automatizing the exploitation of common inputs, in ways remix reconfigure them, can lead to crisis academic authorship which moral agency involved scholarly production is increasingly eroded. discuss relationship between hypercommons terms ethics production, speculating different responses as posed by GenAI.

Language: Английский

Citations

2
Artificial intelligence: an opportunity or a threat to good decision-making? Using systems thinking to examine values in an intercultural framework DOI
Rong Du, Mingqian Li, Shizhong Ai

et al.

Journal of Decision System, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 21

Published: Nov. 14, 2024

Artificial Intelligence (AI) is being used globally. But its spread limited by challenges associated with trust. Intercultural trust, as required for AI a global remit, requires common framework. Systems thinking provides such value-reflective framework, and was to examine values in design, implementation, use. A method of integrative systems proposed, which synthesises Western approach Chinese approach, incorporating value assessments the both cultures. Open-ended questions were developed, put, comparison, international expert respondents, ChatGPT system, embedded Microsoft's New Bing. Half assumed that good, other half took contrary point view. The results from experts line one another, suggesting priority issue users should be clear about AI, helping decision-making..

Language: Английский

Citations

0