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Overcoming Leadership Limitations: A Theoretical Study of Leadership Behaviors and Methods

100%
Korzynski P.
Management and Business Administration. Central Europe
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2014
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vol. 22
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issue 4
26-38
EN
Purpose: The main purpose of this study is to present leadership limitations that influence leadership effectiveness and examine if it is possible to overcome these limitations. Methodology: The study presents the results of literature analyses and the findings of the recent research studies on leadership. It also refers to literature items that might be helpful in analyzing the leadership limitations. Conclusions: The study indicates that some leadership behaviors that fall into a particular category are useful in understanding and reflecting on their limitations, while other leaders’ actions enable them to overcome those limitations or use them to support leadership effectiveness. Research limitations: This is a theoretical and conceptual study. It formulates propositions to further empirical research studies. Originality: The study analyzes a number of behaviors from different leadership theories. These behaviors fall into four meta-categories: situational, transformational, authentic and boundary spanning. The study also provides information about leadership styles that are useful in understanding and overcoming leadership limitations.
2
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Generative artificial intelligence as a new context for management theories: analysis of ChatGPT

33%
Korzynski P., Mazurek G., Altmann A., Eldys J., Kazlauskaite R., Paliszkiewicz J., Wach K., Ziemba E.
Central European Management Journal
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2023
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vol. 31
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issue 1
3-13
EN
Purpose – The primary purpose of this paper is to examine how generative Artificial Intelligence (AI) such as ChatGPT may serve as a new context for management theories and concepts. Design/methodology/approach – The paper presents the analyses of selected management theories on decision-making, knowledge management, customer service, human resource management and administrative tasks and explains what may change after generative AI adoption. Findings – The paper indicates that some management theories and concepts need to be studied in the generative AI environment that may influence managerial work at the strategic, functional and administrative levels. Research limitations/implications – This paper is an opinion piece article and does not refer to empirical data. It formulates some conclusions to further empirical research studies. Originality/value – The paper analyzes selected management theories in a new technological setting. The paper also provides information about the functions of generative AI that are useful in understanding and overcoming how new technology may change organizations and management.
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Leveraging artificial intelligence to meet the sustainable development goals

33%
Ziemba E. W., Duong C. D., Ejdys J., Gonzalez-Perez M. A., Kazlauskaitė R., Korzynski P., Mazurek G., Paliszkiewicz J., Stankevičienė J., Wach K.
Journal of Economics and Management
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2024
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vol. 46
508-583
EN
Aim/purpose – This study aims to identify the role of Artificial Intelligence (AI) in achieving the Sustainable Development Goals (SDGs), with specific reference to their targets, and to present good practices in this regard. Design/methodology/approach – This study adopts qualitative research based on an integrative literature review encompassing five stages: problem identification, literature search, data evaluation, data analysis, and presentation of findings. Findings – This study presents a framework for leveraging AI to achieve SDGs. It details the role of AI in achieving each SDG, identifies the best practices for using AI to achieve these goals, and recommends the main steps for systematically deploying AI to achieve SDGs. Research implications/limitations – The presented findings reflect the authors’ perspective on the role of AI in achieving SDGs based on an integrative literature review, which may have overlooked some literature on AI’s impact on individual SDGs or lacked published evidence on such interlinkages. Originality/value/contribution – This study contributes to the existing body of knowledge by providing a comprehensive framework for leveraging AI to achieve the SDGs. It systematically identifies and details the role of AI in advancing each SDG, highlights best practices for deploying AI effectively, and recommends steps for integrating AI into SDG initiatives. The study’s value lies in its ability to guide policymakers, researchers, and practitioners in harnessing AI’s potential to address critical global challenges while highlighting the need for careful consideration of potential limitations and gaps in the existing literature.
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