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TAOM 2026, İzmir, Call for Papers

  • 1.  TAOM 2026, İzmir, Call for Papers

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    TAOM 2026

    TURKISH ACADEMY OF MANAGEMENT

    2026 ANNUAL MEETING

    CALL FOR PAPERS

    DOKUZ EYLÜL UNIVERSITY, İZMİR, TÜRKİYE

    AUGUST 31 - SEPTEMBER 04

    https://taom.org.tr/taom2026/

    https://taom.org.tr/english/

    In collaboration with the Faculties of Business, Tourism, and Maritime Studies

    Redefining Leadership: Adapting to AI-Driven Dynamics in Organizations

    We are transitioning into a period characterized by the widespread use and influence of Artificial Intelligence (He et al., 2023), which is leading to a fundamental transformation in organizational architecture and necessitating a new understanding in leadership concepts and practices (Tsai et al., 2022). As AI technologies advance, they offer unprecedented capabilities for data analysis, predictive analytics, and automation, fundamentally changing how organizations operate and how leaders behave. The theme of TAOM2026 underscores the imperative for leadership to adapt in response to the transformative changes brought about by Artificial Intelligence. It emphasizes the emergence of novel leadership frameworks that incorporate AI tools and technologies, challenging traditional leadership paradigms and prompting leaders and decision makers to reassess their roles and strategies. As AI continues to reshape the workplace, leaders face the dual challenge of navigating its impact on employee attitudes and behaviors, as well as its implications for organizational structure, culture, and strategy (Fountaine et al., 2019; Peifer, Jeske, & Hille, 2022; Zarifis & Efthymiou, 2022; Fousiani et al., 2024; He et al., 2024).

    To address these transformative shifts, the following key questions can be explored at TAOM 2026:

    ·       What are the behaviors related to AI that leaders exhibit, and how do these behaviors influence employee and organizational outcomes?

    ·       How can AI support or augment leadership decisions, and what are the implications for human judgment and authority?

    ·       What are the new leadership models that incorporate AI tools and technologies, and how could these models redefine traditional notions of leadership?

    ·       What are the ethical considerations of using AI in leadership, including issues of accountability, bias, and transparency?

    ·       How can human leaders and AI systems work together to enhance organizational effectiveness.

    ·       How does the rise of AI shift the skills and competencies required for effective leadership, and the training needed for future leaders?

    ·       In what ways are AI technologies influencing organizational culture and employee dynamics, and how should leaders respond to these changes?

    ·       How might AI influence organizational legitimacy and conformity, and what role does leadership play in navigating these changes?

    ·       What impact does AI have on power dynamics and political behavior within organizations, and how may leaders manage and adapt to these shifts in power and influence?

    ·       What new approaches to strategy formulation and implementation are necessary to account for AI's role in organizational contexts, and how can leaders effectively guide these strategic changes?

    ·       What are the broader economic and social implications of AI integration in organizational settings, and how should leaders address issues such as labor displacement, economic inequality, and social change?

    REFERENCES

    Fountaine T, McCarthy B, Saleh T (2019) Building the AI-powered organization. Harvard Bus Rev 97:62–73

    Fousiani, K., Michelakis, G., Minnigh, P. A., & De Jonge, K. M. (2024). Competitive organizational climate and artificial intelligence (AI) acceptance: the moderating role of leaders' power construal. Frontiers in Psychology, 15, 1359164.

    He, G., Liu, P., Zheng, X., Zheng, L., Hewlin, P.F. and Yuan, L. (2023), "Being proactive in the age of AI: exploring the effectiveness of leaders' AI symbolization in stimulating employee job crafting", Management Decision, Vol. 61 No. 10, pp. 2896-2919. https://doi.org/10.1108/MD-10-2022-1390

    He, G., Zheng, X., Li, W., Tan, L., Chen, S., & He, Y. (2024). The Mixed Blessing of Leaders' Artificial Intelligence (AI)-oriented Change Behavior: Implications for Employee Job Performance and Unethical Behavior. Applied Research in Quality of Life, 19(2), 469-497.

    Peifer, Y., Jeske, T., & Hille, S. (2022). Artificial intelligence and its impact on leaders and leadership. Procedia computer science, 200, 1024-1030.

    Tsai, C. Y., Marshall, J. D., Choudhury, A., Serban, A., Hou, Y. T. Y., Jung, M. F., & Yammarino, F. J. (2022). Human-robot collaboration: A multilevel and integrated leadership framework. The Leadership Quarterly, 33(1), 101594.

    Zarifis, A., & Efthymiou, L. (2022, March). The four business models for AI adoption in education: Giving leaders a destination for the digital transformation journey. In 2022 IEEE global engineering education conference (EDUCON) (pp. 1868-1872). IEEE.

    KEY DATES

    Call for Papers

    10 January 2026

    Start of the Submission

    15 March 2026

    Deadline for all Submissions

    15 June 2026

    Decision Notification

    05 July 2026

    Annual Meeting

    31 August - 4 September 2026



    ------------------------------
    Cenk Sozen
    Full Professor
    Turkish Academy of Management
    Ankara
    +905394731711
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