Armenia Androniceanu

Prof. Armenia Androniceanu

Bucharest University of Economic Studies
orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
11 July 2019 in Sustainability
Verified
Journal Article
Open access
PDF file
Muhammad  HaseebMuhammad Haseeb
Muhammad Haseeb
HHHafezali Iqbal Hussain
Hafezali Iqbal Hussain
Sebastian KotSebastian Kot
Sebastian Kot
AAArmenia Androniceanu
Armenia Androniceanu
KJKittisak Jermsittiparsert
Kittisak Jermsittiparsert
In the postmodern era of industrialization, sustainable business performance is vital for success in a competitive environment. In order to attain sustainable business performance, Malaysian Small and Medium-sized Enterprises (SMEs) are facing various social and technological challenges. The objective of this study was to examine the roles of social and technological challenges in achieving a sustainable competitive advantage and sustainable business performance. To accomplish this objective, first-hand data were collected from Malaysian SMEs. Opinions of managerial staff of these SMEs were preferred regarding the roles of social and technological challenges in achieving a sustainable competitive advantage and sustainable business performance. An email survey was carried out to collect data. A total of 500 questionnaires were distributed among managerial staff of SMEs. Questionnaires were distributed by using simple random sampling. By using structural equation modeling, findings of the study revealed that social and technological challenges played major roles in boosting sustainable competitive advantage and sustainable business performance. Moreover, strategic alignment was a key in reflecting the positive roles of social and technological factors on sustainable competitive advantage. Findings of the study are beneficial for practitioners and will allow their strategies to reflect sustainable competitive advantages and sustainable business performance.

30 December 2022 in Oeconomia Copernicana
Verified
Journal Article
Open access
PDF file
George LăzăroiuGeorge Lăzăroiu
George Lăzăroiu
AAArmenia Androniceanu
Armenia Androniceanu
IGIulia Grecu
Iulia Grecu
GGGheorghe Grecu
Gheorghe Grecu
ONOctav Neguriță
Octav Neguriță
Research background: With increasing evidence of cognitive technologies progressively integrating themselves at all levels of the manufacturing enterprises, there is an instrumental need for comprehending how cognitive manufacturing systems can provide increased value and precision in complex operational processes. Purpose of the article: In this research, prior findings were cumulated proving that cognitive manufacturing integrates artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable industrial value creation, and digitized mass production. Methods: Throughout April and June 2022, by employing Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines, a quantitative literature review of ProQuest, Scopus, and the Web of Science databases was performed, with search terms including ?cognitive Industrial Internet of Things?, ?cognitive automation?, ?cognitive manufacturing systems?, ?cognitively-enhanced machine?, ?cognitive technology-driven automation?, ?cognitive computing technologies,? and ?cognitive technologies.? The Systematic Review Data Repository (SRDR) was leveraged, a software program for the collecting, processing, and analysis of data for our research. The quality of the selected scholarly sources was evaluated by harnessing the Mixed Method Appraisal Tool (MMAT). AMSTAR (Assessing the Methodological Quality of Systematic Reviews) deployed artificial intelligence and intelligent workflows, and Dedoose was used for mixed methods research. VOSviewer layout algorithms and Dimensions bibliometric mapping served as data visualization tools. Findings & value added: Cognitive manufacturing systems is developed on sustainable product lifecycle management, Internet of Things-based real-time production logistics, and deep learning-assisted smart process planning, optimizing value creation capabilities and artificial intelligence-based decision-making algorithms. Subsequent interest should be oriented to how predictive maintenance can assist in cognitive manufacturing by use of artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable industrial value creation, and digitized mass production.

16 November 2022 in Energies
Verified
Journal Article
Open access
PDF file
AAArmenia Androniceanu
Armenia Androniceanu
OSOana Sabie
Oana Sabie
The global renewable energy landscape is changing rapidly. Green energies reduce greenhouse gas emissions, diversify the energy supply, and lower dependence on volatile and uncertain fossil fuel markets. The future looks promising for green energy sources, which are taking on an increasingly important role, especially in the current context, as governments are trying to identify viable solutions to the energy crisis and reduce dependence on fossil fuels. Worldwide, there is a growing interest in and support for green energy sources, a factor that could help accelerate the current energy transition. Despite these positive developments, much remains to be done globally to make the energy transition a reality. In this respect, the European Union member states have committed to a wide neutrality target by establishing an increase in the total share of energy from renewable sources to 55% (by 2030) and, at the same time, reducing the net greenhouse gas effect emissions by at least 55% until 2030 to reach the neutrality target by 2050. Green energy sources are essential for long-term efforts to mitigate climate change and will play an important role in improving energy security and accessibility. The efforts of every country to strengthen the energy sector through the development of green energies will reduce geopolitical risks and disproportionate external costs for society. The large-scale use of green energies will contribute to sustainable development. The objective of our research is to review the literature on green energy in the context of sustainable development by analyzing research conducted by various authors and international organizations on these topics. The period considered for this study is 2011–2020. Our research focused on the EU 27, but the review also took into account the results obtained by other countries worldwide, such as China, the USA, Norway, and Iceland. The main research method used was the analysis of scientific papers, studies developed by international organizations, and a wide set of agreements and political commitments assumed by different states for developing green energy as a solution for sustainable development. The obtained results show an interesting international debate about green energies and how they can contribute to sustainable development. This paper’s results also show that in 2019 at the global level, low-carbon energy sources, including nuclear power and renewable energy, accounted for 15.7% of primary energy (solar, wind, hydropower, bioenergy, geothermal and wave and tidal), while in 2021, for the EU 27, the share of energy from renewable sources reached 22%. According to international statistics, more than 90% of the governments of many countries are making investments to efficiently capitalize on green energy sources and to design new models of sustainable economic and social development, in order to lower pollution levels, reduce the dependence on fossil fuel imports and limit the climate change impact.

1 March 2021 in Journal of International Studies
Verified
Journal Article
Closed access
AAArmenia Androniceanu
Armenia Androniceanu
JKJani Kinnunen
Jani Kinnunen
Irina GeorgescuIrina Georgescu
Irina Georgescu

22 January 2019 in Frontiers in Psychology
Verified
Journal Article
Open access
PDF file
ACAlina Ciobanu
Alina Ciobanu
AAArmenia Androniceanu
Armenia Androniceanu
GLGeorge Lazaroiu
George Lazaroiu
In the context of profound social, economic and financial changes, private and public organizations managers turn their attention towards the most valuable resource they have – the human resource (HR), the one that can ensure increased organizational performance. Using adequate HR policies and practices, organizations can build a positive work environment that sustains employees’ development, encourages communication, innovation, and pro-active attitudes and behaviors. However, managerial practices specific to the private sector do not seem to be the solution to the problems public institutions deal with. While specialists have mainly explored the link between human resources management (HRM) and performance in the private sector, due consideration ought to be paid to the particularities of this relationship in the public sector as well, and to the factors that influence public employees’ motivation and determine their level of performance. The purpose of our paper is to show that HRM in public institutions should be approached in a manner that focuses more on the work motivation theory, specifically on the psycho-sociological profile of the public employee, and argue that higher performance can be achieved by establishing a social exchange relationship between managers and the members of their teams. A supportive work environment positively impacts upon public employees’ performance, self-efficacy and job satisfaction, even though they are mainly driven in performing their tasks by intrinsic motivators and devotion to public values and interest.

KGKatarzyna Grondys
Katarzyna Grondys
OŚOliwia Ślusarczyk
Oliwia Ślusarczyk
HHHafezali Iqbal Hussain
Hafezali Iqbal Hussain
AAArmenia Androniceanu
Armenia Androniceanu
The subject matter of the article relates to the assessment of the perception of selected types of risk in economic activities of the SME sector, which change their intensity as a result of the outbreak of the COVID-19 pandemic. The current economic downturn is unprecedented and involves many companies and industries that have faced new, previously unknown challenges and threats. The objective of the article is to identify the most important risks and their resources based on the empirical research carried out in small and medium-sized enterprises in Poland. The formulated objective was accomplished using the data collection method, i.e., the survey and reports on the condition of the SME sector in Poland as well as statistical data analysis methods, i.e., structure index and the analysis of variance, using the SPSS system. The process of primary data collection was carried out by means of an electronic survey among selected enterprises of the SME sector, conducting business activities in Poland. In the study, the employment factor was taken into account as a determinant of the perception and assessment of the intensity of selected risks arising from the economic activity in the Polish market in the conditions of the current economic downturn. On the basis of the obtained results, the impact of market, economic, financial and operational risks, depending on their intensity, on the functioning of micro-, small and medium-sized enterprises was identified. Based on the analysis of variance, the effect of the size of the company on the level of individual risks was also examined. As a result of the observations made, it was established that, during the pandemic, the level and type of risk is similar in all the surveyed enterprises. They are most often threatened by strong competition in the industry, an increase in energy prices and insufficient profit. The overall results of the empirical research indicate the importance and the need to manage the key threats to the Polish SME sector.