Elżbieta Rogalska
Biographic Data
| ID | 669504 |
|---|---|
| NAME | Elżbieta Rogalska |
| GIVEN NAMES | Elżbieta |
| FAMILY NAME | Rogalska |
| SIGNATURE | ROGALSKA E |
| AFFILIATIONS | University of Warmia and Mazury in Olsztyn |
| ORCID | 0000-0001-7529-315X |
| VERIFIED | Yes |
| TOTAL WORKS | 17 |
| TOTAL CITATIONS | 6 |
| AUTHOR COUNT | 17 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Governance and leadership in the age of AI transformation: Emerging challenges and future directions
Exploring the role of work meaningfulness and affective commitment in mitigating counterproductive work behaviors
The objective of this article is to examine the extent to which work meaningfulness (WM) and affective commitment (AC) as a component of organizational commitment (OC) influence counterproductive work behaviors (CWB). A supplementary aim is to assess the moderating role of selected demographic variables, including gender, age, tenure, and type of work, in shaping these relationships. The research objectives were addressed through a survey conduct…
Digital twin-based cyber-physical manufacturing systems, extended reality metaverse enterprise and production management algorithms, and Internet of Things financial and labor market technologies in g…
Research background: Generative artificial intelligence (AI) and machine learning algorithms support industrial Internet of Things (IoT)-based big data and enterprise asset management in multiphysics simulation environments by industrial big data processing, modeling, and monitoring, enabling business organizational and managerial practices. Machine learning-based decision support and edge generative AI sensing systems can reduce persistent labor…
Generative artificial intelligence marketing, algorithmic predictive modeling, and customer behavior analytics in the multisensory extended reality metaverse
and customer behavior analytics in the multisensory extended reality metaverseGenerative artificial intelligence (AI) and image data-based predictive algorithms, remote sensing and geospatial mapping technologies, and visual attention modeling and socially-oriented location tracking tools (Bugaj et al., 2023;Lzroiu et al., 2019;Zvarikova et al., 2023) can improve personalized shopping experiences, inquiry resolutions, product documentation, categ…
The economics of deep and machine learning-based algorithms for Covid-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
Research background: Deep and machine learning-based algorithms can assist in COVID-19 image-based medical diagnosis and symptom tracing, optimize intensive care unit admission, and use clinical data to determine patient prioritization and mortality risk, being pivotal in qualitative care provision, reducing medical errors, and increasing patient survival rates, thus diminishing the massive healthcare system burden in relation to severe COVID-19 …
Job satisfaction and work engagement impact on counterproductive work behaviors: Moderating influence of demographic characteristic of employees
The purpose of the article is to determine how demographic characteristic (sex, age, length of service, type of work) moderate the impact of job satisfaction (JS) and work engagement (WE) on counterproductive work behaviors (CWB). The research objectives were met with application of a survey conducted in Poland. Structural equation modeling (SEM) was used to analyze the primary data. The proposed theoretical models were intended to determine how …
Technology-oriented start-ups and valuation: A novel approach based on specific contract terms
How generative artificial intelligence technologies shape partial job displacement and labor productivity growth
How generative artificial intelligence technologies shape partial job displacement and labor productivity growthBy computational processes, immersive reality and digital twin technologies, generative artificial intelligence tools can automate artistic creative production and labor, transforming and redefining employment, tasks, and jobs by use of synthetic media and data.Machine and deep learning industrialization can augment decision-making by u…
Brand valuation: An innovative approach based on conversion ratios
We present a novel brand valuation method based on conversion ratios. The proposed approach uses brand-related parameters, which are usually accessible, however, the established brand valuation methods have not yet used them. These key parameters include the ability to acquire new customers and retain current customers. We argue that such parameters can be reflected through the cost of reaching new customers and retaining current customers. The m…
Relationships between leadership style and organizational commitment: The moderating role of the system of work
The article fills a crucial gap in the literature in the area of relationships between leadership style and organizational commitment. In spite of the actuality of the theoretical nature and growing practical importance of the issue, no attempt has been made to examine the relationship in the context of its moderation by the work system in light of the widespread increase in remote working in response to the COVID-19 pandemic and post-Covid digit…
Personality traits and counterproductive work behaviors: The Moderating Role of Demographic Characteristics
The main objective of the current contribution is to determine how the personality traits (Extraversion, Neuroticism, Conscientiousness, Agreeableness and Openness to experience) influence counterproductive work behaviors (CWB), and whether/to what extent this potential impact is moderated by employees' main demographic characteristics. To reach the pointed aim a survey among 1,380 professionally active people in Poland was conducted. Structural …
Examined
They learn and prepare. Then they pass the exam. What are the preparations for the Grand Exam
Before Sending About Janusz Korczak School and Silence
The article presents the process of creating publications about Janusz Korczak, school and silence using the autoetnographic method. It contains the author’s numerous dilemmas and theoretical inspirations used to create the publication. This publication is available on the Internet in Polish. This poem describes what thoughts the scientist has when writing about the things he researched. Especially if the scientist thinks that they could be helpf…
After the First Review: Media to the Person
The poem was based on research work related to the topic of the personal nature of media education in the classroom scenarios. The article about this poem is based on the research method “document research.” Media education is often perceived as the repressed personal nature of human activity. In this poem, I want to draw attention to the problems of the researcher who writes the text not about man but about things. I state in him that in the co-…
Enterprise the view of managerial theories of the firm
The dominant role of corporations in modern economy and observed widespread oligopolization are the sources of practical need for the theoretical concept of the enterprise explaining the operations of large companies, with a particular focus on their primary objectives and aims, and the role they play in the markets. In this paper three concepts of the enterprise are discussed that take into account the changing conditions of the company. All the…
Crowding Out and Crowding in within Keynesian Framework. Do We Need Any New Empirical Research Concerning Them
Last global financial crisis resulted in common among developed countries implementation of expansionary fiscal policy as an anti-recession tool. This led to the renewal of academic discussion on stabilization effectiveness of fiscal policy. In this context, the main research goal of this paper is to give theoretical analysis of the determinants of counter-cyclical effectiveness of fiscal policy with special concentration on crowding out and crow…
Effectiveness of expansionary fiscal policy under conditions of state fiscal crisis
The paper provides synthetic presentation of key economic theories on the effectiveness of fiscal policy – neoclassical and keynesian view. Then the problem of the state fiscal budget crisis and its possible influence on the occurrence of ricardian equivalence. The empirical part of the paper presents several cases of significant fiscal stimulus, which proved to be totally ineffective in stimulating economic activity and several cases of fiscal a…
Relationships between leadership style and organizational commitment: The moderating role of the system of work
The article fills a crucial gap in the literature in the area of relationships between leadership style and organizational commitment. In spite of the actuality of the theoretical nature and growing practical importance of the issue, no attempt has been made to examine the relationship in the context of its moderation by the work system in light of the widespread increase in remote working in response to the COVID-19 pandemic and post-Covid digit…
Personality traits and counterproductive work behaviors: The Moderating Role of Demographic Characteristics
The main objective of the current contribution is to determine how the personality traits (Extraversion, Neuroticism, Conscientiousness, Agreeableness and Openness to experience) influence counterproductive work behaviors (CWB), and whether/to what extent this potential impact is moderated by employees' main demographic characteristics. To reach the pointed aim a survey among 1,380 professionally active people in Poland was conducted. Structural …
After the First Review: Media to the Person
The poem was based on research work related to the topic of the personal nature of media education in the classroom scenarios. The article about this poem is based on the research method “document research.” Media education is often perceived as the repressed personal nature of human activity. In this poem, I want to draw attention to the problems of the researcher who writes the text not about man but about things. I state in him that in the co-…
Crowding Out and Crowding in within Keynesian Framework. Do We Need Any New Empirical Research Concerning Them
Last global financial crisis resulted in common among developed countries implementation of expansionary fiscal policy as an anti-recession tool. This led to the renewal of academic discussion on stabilization effectiveness of fiscal policy. In this context, the main research goal of this paper is to give theoretical analysis of the determinants of counter-cyclical effectiveness of fiscal policy with special concentration on crowding out and crow…
Effectiveness of expansionary fiscal policy under conditions of state fiscal crisis
The paper provides synthetic presentation of key economic theories on the effectiveness of fiscal policy – neoclassical and keynesian view. Then the problem of the state fiscal budget crisis and its possible influence on the occurrence of ricardian equivalence. The empirical part of the paper presents several cases of significant fiscal stimulus, which proved to be totally ineffective in stimulating economic activity and several cases of fiscal a…
Enterprise the view of managerial theories of the firm
The dominant role of corporations in modern economy and observed widespread oligopolization are the sources of practical need for the theoretical concept of the enterprise explaining the operations of large companies, with a particular focus on their primary objectives and aims, and the role they play in the markets. In this paper three concepts of the enterprise are discussed that take into account the changing conditions of the company. All the…
Crowding Out and Crowding in within Keynesian Framework. Do We Need Any New Empirical Research Concerning Them
Last global financial crisis resulted in common among developed countries implementation of expansionary fiscal policy as an anti-recession tool. This led to the renewal of academic discussion on stabilization effectiveness of fiscal policy. In this context, the main research goal of this paper is to give theoretical analysis of the determinants of counter-cyclical effectiveness of fiscal policy with special concentration on crowding out and crow…
After the First Review: Media to the Person
The poem was based on research work related to the topic of the personal nature of media education in the classroom scenarios. The article about this poem is based on the research method “document research.” Media education is often perceived as the repressed personal nature of human activity. In this poem, I want to draw attention to the problems of the researcher who writes the text not about man but about things. I state in him that in the co-…
Examined
They learn and prepare. Then they pass the exam. What are the preparations for the Grand Exam
Before Sending About Janusz Korczak School and Silence
The article presents the process of creating publications about Janusz Korczak, school and silence using the autoetnographic method. It contains the author’s numerous dilemmas and theoretical inspirations used to create the publication. This publication is available on the Internet in Polish. This poem describes what thoughts the scientist has when writing about the things he researched. Especially if the scientist thinks that they could be helpf…
Personality traits and counterproductive work behaviors: The Moderating Role of Demographic Characteristics
The main objective of the current contribution is to determine how the personality traits (Extraversion, Neuroticism, Conscientiousness, Agreeableness and Openness to experience) influence counterproductive work behaviors (CWB), and whether/to what extent this potential impact is moderated by employees' main demographic characteristics. To reach the pointed aim a survey among 1,380 professionally active people in Poland was conducted. Structural …
Technology-oriented start-ups and valuation: A novel approach based on specific contract terms
How generative artificial intelligence technologies shape partial job displacement and labor productivity growth
How generative artificial intelligence technologies shape partial job displacement and labor productivity growthBy computational processes, immersive reality and digital twin technologies, generative artificial intelligence tools can automate artistic creative production and labor, transforming and redefining employment, tasks, and jobs by use of synthetic media and data.Machine and deep learning industrialization can augment decision-making by u…
Brand valuation: An innovative approach based on conversion ratios
We present a novel brand valuation method based on conversion ratios. The proposed approach uses brand-related parameters, which are usually accessible, however, the established brand valuation methods have not yet used them. These key parameters include the ability to acquire new customers and retain current customers. We argue that such parameters can be reflected through the cost of reaching new customers and retaining current customers. The m…
Relationships between leadership style and organizational commitment: The moderating role of the system of work
The article fills a crucial gap in the literature in the area of relationships between leadership style and organizational commitment. In spite of the actuality of the theoretical nature and growing practical importance of the issue, no attempt has been made to examine the relationship in the context of its moderation by the work system in light of the widespread increase in remote working in response to the COVID-19 pandemic and post-Covid digit…
Digital twin-based cyber-physical manufacturing systems, extended reality metaverse enterprise and production management algorithms, and Internet of Things financial and labor market technologies in g…
Research background: Generative artificial intelligence (AI) and machine learning algorithms support industrial Internet of Things (IoT)-based big data and enterprise asset management in multiphysics simulation environments by industrial big data processing, modeling, and monitoring, enabling business organizational and managerial practices. Machine learning-based decision support and edge generative AI sensing systems can reduce persistent labor…
Generative artificial intelligence marketing, algorithmic predictive modeling, and customer behavior analytics in the multisensory extended reality metaverse
and customer behavior analytics in the multisensory extended reality metaverseGenerative artificial intelligence (AI) and image data-based predictive algorithms, remote sensing and geospatial mapping technologies, and visual attention modeling and socially-oriented location tracking tools (Bugaj et al., 2023;Lzroiu et al., 2019;Zvarikova et al., 2023) can improve personalized shopping experiences, inquiry resolutions, product documentation, categ…
The economics of deep and machine learning-based algorithms for Covid-19 prediction, detection, and diagnosis shaping the organizational management of hospitals
Research background: Deep and machine learning-based algorithms can assist in COVID-19 image-based medical diagnosis and symptom tracing, optimize intensive care unit admission, and use clinical data to determine patient prioritization and mortality risk, being pivotal in qualitative care provision, reducing medical errors, and increasing patient survival rates, thus diminishing the massive healthcare system burden in relation to severe COVID-19 …
Job satisfaction and work engagement impact on counterproductive work behaviors: Moderating influence of demographic characteristic of employees
The purpose of the article is to determine how demographic characteristic (sex, age, length of service, type of work) moderate the impact of job satisfaction (JS) and work engagement (WE) on counterproductive work behaviors (CWB). The research objectives were met with application of a survey conducted in Poland. Structural equation modeling (SEM) was used to analyze the primary data. The proposed theoretical models were intended to determine how …
Exploring the role of work meaningfulness and affective commitment in mitigating counterproductive work behaviors
The objective of this article is to examine the extent to which work meaningfulness (WM) and affective commitment (AC) as a component of organizational commitment (OC) influence counterproductive work behaviors (CWB). A supplementary aim is to assess the moderating role of selected demographic variables, including gender, age, tenure, and type of work, in shaping these relationships. The research objectives were addressed through a survey conduct…
Governance and leadership in the age of AI transformation: Emerging challenges and future directions
Computer Science (8 works) · Economics (8 works) · Psychology (7 works) · Business (6 works) · Artificial Intelligence (4 works) · Organizational commitment (4 works) · Counterproductive work behavior (3 works) · Generative grammar (3 works) · Industrial organization (3 works) · Job Satisfaction and Organizational Behavior (3 works)