征稿期刊

Journal of Management Studies

期刊级别

IF 6.4 (JCR 2024)

SSCI

Q1 (BUSINESS 45/316)

Q1 (MANAGEMENT 57/420)

征稿主题

Truth in the Age of Polarization and Artificial Intelligence

细分领域

How do scholars experience and relate to “truth” as a concept, and how does this shape academic identity, motivation, and knowledge production in an era of epistemic uncertainty?

How can academics better communicate/collaborate with practice to come to a shared rather than a divided understanding of the world of work?

What constitutes “truth” in management and organization studies, and how do different epistemological traditions (e.g., positivist, interpretivist, critical) approach its construction, critique, and application?How do governance structures and routines shape truth-telling practices,

particularly in high-stakes contexts like whistleblowing, crisis management,

and corporate scandal?

In what ways do polarized stakeholder environments influence organizational truth-telling, transparency, and legitimacy strategies?

How can we remain open to alternative truths? How can collaboration across truths lead to better team and organizational functioning?

How do organizations manage the coexistence of multiple, potentially conflicting truths within multicultural, diverse, or multinational environments?

What happens when internal organizational truths (e.g., values, mission) conflict with external ones (e.g., public opinion, market pressures), and how are these reconciled?

How do institutional logics and cultural narratives embed and reproduce particular claims of truth over time?

In what ways do organizational leaders construct, manage, and sometimes manipulate “truth narratives” to maintain legitimacy and authority?

What role do organizational routines and institutional logics play in shaping the production, dissemination, and contestation of truth?

How do strategic narratives shape organizational perceptions of truth in times of transformation, innovation, or disruption?

What are the truths beyond Western values, norms, and governance ideals? How do they differ in terms of content and claim on universality and normative superiority? And what are their effects on organizations?

How do firms signal membership and allegiance to a truth held by one particular camp or cluster of nations? And how does this allegiance enable and constrain their activities, for example, by making it harder to penetrate markets in opposing clusters?

How do different kinds of audience members categorize firms to be associated with one truth or the other? What possible indicators do audience members rely on in their categorization effort, maybe national identity or political ideology?

How do AI-driven systems reshape organizational notions of authority, expertise, and legitimacy in decision-making processes?

How do organizational cultures adapt to managing truth conflicts exacerbated by AI-generated misinformation?

What governance mechanisms can organizations implement to ensure the ethical use of AI in truth-sensitive areas such as compliance, HR, and public relations?

In what ways can AI disrupt or reinforce existing organizational boundaries regarding expertise, authority, and the custodianship of knowledge/truth?

Who is – or should be – in charge of developing and training these algorithms? Should developers have a responsibility for their algorithms later in use, and in case, what is the normative grounding for that responsibility?

How do employees respond when organizational narratives conflict with their own lived experiences or beliefs about “truth”?

In what ways do voice, silence, and knowledge hiding reflect deeper tensions over what is perceived as credible or authentic in the workplace?

How do AI-driven systems influence employees’ trust in organizational communications, decisions, or ethical norms?

What role does identity (e.g., cultural, ideological, professional) play in shaping how employees negotiate competing organizational “truths”?

重要时间

Proposal Deadline: 5 December 2025

Submission Deadline: 24 March 2026