Dalia Streimikiene

57195415199

Publications - 6

AN ANALYSIS ON LEADERSHIP AND DECISION MAKING ERRORS IN THE NEW ARTIFICIAL INTELLIGENCE INFLUENCED ORGANIZATIONAL ENVIRONMENT

Dalia Streimikiene Raluca Maria Iordache Delia Mihaila Victoria Rodica Cioca Ștefan Emil Ionescu

Publication Name: Polish Journal of Management Studies

Publication Date: 2025-06-24

Volume: 31

Issue: 2

Page Range: 123-137

Description:

The integration of Artificial Intelligence (AI) is rapidly changing how leadership and decision-making work in organizations today. AI's emergence has created a need to rethink traditional ways of leading. Leaders now face the challenge of incorporating AI tools into their decision-making, which affects corporate strategies and how well they operate. However, while this combination of leadership and AI calls for adaptive strategies, it also raises worries about possible decision-making mistakes. To handle these challenges well, organizations should develop a strong understanding of how leadership styles affect decisionmaking when faced with the pressures of AI. To understand this relationship, our study considered key aspects like organizational climate and emotional intelligence, which are vital for long-term change.

Open Access: Yes

DOI: 10.17512/pjms.2025.31.2.08

Decision support for sustainable circular food supply chain in Iran: A fuzzy multi-criteria approach

T. Baležentis Dalia Streimikiene A. Bathaei Z. Ardakani L. Agnusdei

Publication Name: Computers and Industrial Engineering

Publication Date: 2025-11-01

Volume: 209

Issue: Unknown

Page Range: Unknown

Description:

As an interconnected network, the food supply chain links multiple actors across production, processing, distribution and consumption. While it plays a vital role in ensuring food security, safety and economic resilience, the sector also faces growing challenges related to its environmental impact and long-term sustainability. Addressing these issues requires a systemic shift toward sustainable circular supply chain models that support net-zero objectives, decarbonization pathways, and ecosystem-wide coordination. This study aims to explore the key factors influencing sustainable circular supply chain management (SCSCM) across five major sectors of the food industry in Iran: grain, dairy, meat, sugar and carbohydrate products. By incorporating the concept of dynamic capabilities into the supply chain context, this study underscores the importance of organizational adaptability and innovation in facilitating the transition toward circular, low-emission supply chains. A snowball-based literature review revealed a lack of prioritization frameworks tailored to the food industry in Iran. To address this gap, the fuzzy Delphi method (FDM) was used to identify critical factors, followed by the fuzzy analytic network process (FANP) to evaluate and rank them based on expert judgment. The findings indicate that supplier facilities, trade credit, supplier risk management, environmental policy and environmental costs are the five most critical enablers of circular and sustainable transformation within the food supply chain. These identified factors offer a foundation for policymakers and industry leaders to design long-term, ecosystem-oriented strategies that enable systemic change and accelerate progress toward net-zero goals within the sector.

Open Access: Yes

DOI: 10.1016/j.cie.2025.111403

Malta's low carbon transition towards sustainability

Yuriy Bilan Brian Azzopardi Rafał Kasperowicz Marcin Pinczynski Dalia Streimikiene

Publication Name: Sustainable Development

Publication Date: 2024-10-01

Volume: 32

Issue: 5

Page Range: 5120-5128

Description:

The transition to low-carbon energy and energy independence of a country play an important role in the sustainable development of its energy sector. Another important issue of sustainable energy development is the cost competitiveness in the generation process; with new renewable energy technologies, a sustainable energy transition to carbon-neutral society is possible. In this article, we present a view of sustainable energy transformation based on a case study of Malta. We have created a simulation of a Maltese electricity system with projected growth and dominance of photovoltaic energy in the electricity market. The study results suggest that a system with a high penetration of photovoltaics has significant advantage over a conventional system using fossil fuels. In particular, in the simulated Maltese system, the total annual cost of energy was reduced threefold, the CO2 emissions were reduced by 40%, and the energy independence of Malta increased by 60%. In the end, the article gives a recommendation for further research into the Maltese energy system.

Open Access: Yes

DOI: 10.1002/sd.2967

EXAMINING THE CRITICAL SUCCESS FACTORS FOR THE EFFICIENCY OF GREEN ENERGY PROJECTS

Aknur Zhidebekkyzy Dalia Streimikiene Assel Kozhakhmetova Aizhan K. Anarkhan

Publication Name: Polish Journal of Management Studies

Publication Date: 2024-06-24

Volume: 29

Issue: 2

Page Range: 328-345

Description:

In recent times, there has been a remarkable exponential interest in green energy projects, driven by their potential to significantly decrease greenhouse gas (GHG) emissions and reduce reliance on fossil fuels. However, such high-tech projects' complexity, expensiveness, and high uncertainty level necessitate new ways of increasing efficiency. Therefore, this study, with its clear aim to evaluate the efficiency of green energy projects and identify the critical success factors that can enhance efficiency, remains a compelling and relevant research endeavour. The study employed a rigorous methodology, using multilinear regression analysis to survey 123 project managers from Kazakhstan. This allowed for a comprehensive comparison of the efficiency level of green energy projects and low-tech projects. Research results show that green energy projects exhibit the highest percentage of schedule overrun at 23.9% and cost overrun at 32.7%, indicating substantial delays in project completion and extra expenses in budget compared with low-tech projects. Moreover, green energy projects show the least favourable results (7.3) regarding technological performance. The study reveals the following critical success processes enhancing project efficiency: project planning, scope and cost management, communication, and team management. Based on the processes of the Project Management Body of Knowledge (PMBoK) Guide, an algorithm for managing green energy projects was developed. This tool equips project managers with a process-based map, enabling them to run their projects effectively and enhance their efficiency.

Open Access: Yes

DOI: 10.17512/pjms.2024.29.2.17

VARIANCE AND DEVIATIONS IN THE BUDGETS OF REGIONAL ENTERPRISES AS AN ELEMENT OF RISK MEASUREMENT IN THE PROBABILISTIC MODEL

Yuriy Bilan Łukasz Kuźmiński Tomasz Norek Dalia Streimikiene Marcin Rabe Zdzisław Kes Agnieszka Lopatka Katarzyna Widera

Publication Name: Romanian Journal of Economic Forecasting

Publication Date: 2024-01-01

Volume: 27

Issue: 3

Page Range: 120-139

Description:

The aim of this article is to develop models that can measure probabilistic budget volatility risk in a manner that is not dependent on the type of cost or financing unit. Budgets are essential tools in facilitating the management process of any organization, while budget control helps optimize resource allocation and enhance operational efficiency. Using the methodology of budget deviation analysis can significantly improve the management of organizational units. However, the authors identify a research gap in terms of both methodology and application when it comes to analyzing the risk of budget variances. To address this, the authors develop models based on the theory of extreme values. The models can determine the deviation level for a specific probability level and estimate the limit level of deviation for assumed probabilities. These models can be used to holistically evaluate the level of budget implementation in the enterprise, compare the quality of budget implementation overtime and across units, and identify materiality limits of budget variances. To validate the models, empirical data from the budget control system of a major European city university was used. Empirical distributions obtained from the data were used to determine budget variances that indicate the level of deviation for a given probability level.

Open Access: Yes

DOI: DOI not available

Impact of Information Communication Technology on labor productivity: A panel and cross-sectional analysis

Yuriy Bilan Rafał Kasperowicz Dalia Streimikiene Aviral Tiwari Yash Laddha

Publication Name: Technology in Society

Publication Date: 2022-02-01

Volume: 68

Issue: Unknown

Page Range: Unknown

Description:

This article examines the contribution of information and communications technologies (ICT) to labor productivity using panel data approach. The study covers the period of 2000–2015 for a complete dataset of 98 countries as well for three selected groups: low-income, middle-income, and high-income countries. The findings imply that telephone subscription and broadband subscription have a significant impact on overall labor productivity as well as labor productivity of service sector. The ICT affects the labor productivity, so investing in Information Communication Technology is necessary to increase the labor productivity.

Open Access: Yes

DOI: 10.1016/j.techsoc.2022.101878