Bucharest Academy of Economic Studies
Recent publications
Publishing procedures in all scientific areas have been in constant flux to ensure articles’ formal unity and most importantly significant contribution to respective research fields. Scientists but more specifically higher education professionals across the globe have joined a race for “points” to warrant their standing in academic communities or to comply with promotion or tenure requirements. Publishing scientific/ academic work in high-ranking journals is today the norm in most universities worldwide which has imposed on editorial teams methods of selection relying almost exclusively on the authority of reviewers. This article will present a brief overview of recent concerns regarding the peer review practice in different publishing fields and the issue of less than collegial behaviours that have also emerged. The paper examines the importance of unbiased feedback of specialists which ensures the quality of published materials and highlights authors’ apprehension about bullying in peer review processes. The present critique will also mention the need for golden rules of conduct for peer reviewers and the necessity of editorial boards to supervise and address inappropriate aggressive comments from reviewers.
This article aims to tackle the significant shifts in academic and administrative communication in higher education in view of the necessity to adapt to changes as a result of the COVID-19 pandemic. It will, additionally, suggest a list of benefits and drawbacks as seen from the perspective of language trainers caught in the overbearing landslide brought upon by the unprecedented conditions. While being fully aware that this paper will join an already extensive plethora of international academic studies on the subject, we, the authors, consider it is relevant nevertheless, since it is only by sharing common experiences and successful and not so successful stories that we can find solutions, learn from each other and at the same time reconquer the feeling of community that the pandemic has affected to a large extent.
This article discusses the fictional transpositions of a traumatic event in recent Romanian history in some contemporary novels by women writers. Decree 770/1966 meant the brutal intervention of the paternalistic state in the private lives of its citizens and the redefinition of gender roles to the effect of translating reproductive roles into productive ones. The theme of abortion is analysed from the theoretical perspective of new historicism and cultural materialism and through a feminine and feminist lens in a number of works published by Romanian contemporary women authors in the past few years.
The analysis of the public interest as reflected by Internet queries has become a highly valuable tool in many fields. The Google Trends platform, providing timely and informative data, has become increasingly popular in health and medical studies. This study explores whether Internet search frequencies for the keyword “headache” have been increasing after the COVID-19 pandemic outbreak, which could signal an increased incidence of the health problem. Weekly search volume data for 5 years spanning February 2017 to February 2022 were sourced from Google Trends. Six statistical and machine-learning methods were implemented on training and testing sets via pre-set automated forecasting algorithms. Holt-Winters has been identified as overperforming in predicting web query trends through several accuracy measures and the DM test for forecasting superiority and has been employed for producing the baseline level in the estimation of excess query level over the first pandemic wave. Findings indicate that the COVID-19 pandemic resulted in an increased global incidence of headache (as proxied by related web queries) in the first 6 months after its outbreak, with an excess occurrence of 4.53% globally. However, the study also concludes that the increasing trend in headache incidence at the world level would have continued in the absence of the pandemic, but it has been accelerated by the pandemic event. Results further show mixed correlations at the country-level between COVID-19 infection rates and population web-search behavior, suggesting that the increased headache incidence is caused by pandemic-related factors (i.e. increased stress and mental health problems), rather than a direct effect of coronavirus infections. Other noteworthy findings entail that in the Philippines, the term "headache" was the most frequently searched term in the period spanning February 2020 to February 2022, indicating that headache occurrences are a significant aspect that defines population health at the country level. High relative interest is also detected in Kenya and South Africa after the pandemic outbreak. Additionally, research findings indicate that the relative interest has decreased in some countries (i.e. US, Canada, and Australia), whereas it has increased in others (i.e. India and Pakistan) after the pandemic outbreak. We conclude that observing Internet search habits can provide timely information for policymakers on collective health trends, as opposed to ex-post statistics, and can furthermore yield valuable information for the pain management drug market key players about aggregate consumer behavior.
Crowdfunding emerged as a flexible method of financing various projects during the financial crisis but has since developed into a fully fledged financing instrument that requires special attention from the academia and legislators. The purpose of this study is to perform a quantitative analysis of the up-to-date crowdfunding research employing bibliometric analysis. We have used data from the Scopus database and have extracted a number of 1951 research papers. Using VOSviewer software, we have looked into the yearly research production, the categories in which the studies fall, citation records, highly cited authors and papers, most prolific authors and country of origin in crowdfunding. We grouped keywords into clusters and identified emerging trends. We then revealed the thematic progression of the occurring keywords into four time ranges. We find that crowdfunding research has been growing steadily from 2006 to date, with a particular focus on business and finance. The most productive countries are highly developed economies, but other countries have started exploring crowdfunding, too. The most cited references are published between 2013 and 2016, which is when the bases of this stream of research have been established. We finally discuss the theoretical and practical implications. ARTICLE HISTORY
The paper presents the construction of a proof-of-concept for a distributed and decentralized e-voting application in an IoT embedded device with the help of blockchain technology. A SoC board was used as an IoT embedded device for testing the PoC. This solution ensures complete voter anonymity and end-to-end security for all entities participating in the electronic voting process. The paper outlines the solution’s two layers. Implementation details are presented for the e-voting application, which was deployed inside of an IoT embedded device. The solution and presented protocols provide two major properties: privacy and verifiability. To ensure privacy, the proposed solution protects the secrecy of each electronic vote. As for implementing verifiability, the solution prevents a corrupt authority from faking in any way the process of counting the votes. Both properties are achieved in the presented solution e-VoteD-App.
This research aims to measure the financial performance of companies in the water and sewerage sector by creating a sustainable econometric model for making long-term strategic decisions for managers and stakeholders. The research methodology consisted of the use and statistical processing of the data included in the summary financial statements of 40 regional operators in the field from 2014 to 2020. Multiple linear regression has been created with which stakeholders and water and sewerage specialists can shape changes in value-added variation, the average cost per employee, labor productivity, and energy expenditure on the net profit of water operators and sewerage. The results indicated that the independent variables used, such as value-added, labor productivity, or intangible assets have a direct influence on increasing the net profit of water and sewerage companies. Other independent variables such as the average cost per employee or the expenditure on electricity and water negatively influence the increase in the net profit of companies in the water and sewerage sector. The conclusions indicated that the average net profit is influenced by independent variables and the model created, and it can be successfully applied to other international companies in the field.
The purpose of this paper is to illustrate the opportunities for adopting robotic applications, through a marketing mix perspective, as well as depicting the current state of industrial robot integration in Romanian enterprises and the labor market, in contrast to other economies of the European Union. In this research, we highlight the impact of industrial robots within enterprises, while also considering the perceived standard of living through GDP per capita. For this, we conducted exploratory research based on secondary data regarding the evolution of the robotics sector in Romania, in connection to the dynamics of the global and European Union robotics market. We also performed a principal components analysis, which revealed the main factors that contributed to the dynamics of nation-level enterprise statistics. Our analysis revealed that a higher integration of industrial robots contributed to the reduction of employment rates amongst all six EU countries considered, while also having positive correlations with the GDP per capita and apparent labor productivity. Mixed results were only observed for the impact of industrial robots on remuneration growth, suggesting the potential adverse effects automation could have on incomes.
Objective We aimed to develop an EQ-5D-5L value set for Romania. Methods In line with the EuroQoL standardized valuation protocol, computer-assisted interviews were conducted face-to-face in a representative sample in Romania (November 2018–November 2019). Valuation methods included composite time trade-off and discrete choice experiment tasks. Several models were tested, including models that accounted for data censoring, panel structure of the data, heteroscedasticity, conditional logit, and hybrid models. The final model was selected based on logical consistency, theoretical considerations, and use of all available data. We compared our value set with other value sets from Central and Eastern Europe region. Results Data from 1493 respondents was used to estimate the value set. A censored hybrid model corrected for heteroscedasticity was selected to represent the value set. The highest decrements in utility were observed for the pain/discomfort dimension (0.375), followed by the mobility dimension (0.293). Health utilities ranged from 1.000 to − 0.323 and 1.3% of the values were negative. The model was corrected with survey weights to better reflect the representativeness of the sample, but the first two coefficients of the self-care dimension stopped being logically consistent. Differences were found between the Romanian, Hungarian and Polish EQ-5D-5L value sets. Good agreement was noted with the Romanian EQ-5D-3L value set, with a swap between pain/discomfort and mobility in ranking of dimensions. Conclusion A value set for EQ-5D-5L is now available for Romania. This will push one-step further the development of health technology assessment and encourage more health-related quality-of-life research to be conducted locally.
The practice and popularity of telework has expanded significantly in the past few years, mostly due to the COVID-19 pandemic. As a critical factor contributing to business resilience, the new work model challenged companies to figure out innovative ways to address contemporary organizational and employee needs. To address this gap, this study approaches the telework concept from a broader perspective, integrating inputs, outputs and outcomes in an analytical framework. Drawing from data collected based on interviews and questionnaires addressed to professionals in the business service industry who experienced telework, frequency analysis, discourse analysis and chi-square test were used to synthesize the findings. Results show that resource availability and professional relationships represent the basic factors, while technology may be more than a facilitator. Moreover, knowledge exchange, work–life balance and professional isolation are critical factors emerging from the virtual environment that influence work goals achievement. This study contributes to research by proposing a Telework Systematic Model (TSM), which addresses the interaction of various organizational dynamics factors as a result of mixed working patterns. The discussions address the future of work by including the hybrid work model, platform innovation and new business opportunities to enhance organizational resilience for sustainable innovation and change through digital technology.
The purpose of this study is to discover the main themes and categories of the research studies regarding digital literacy. To serve this purpose, the databases of WoS/Clarivate Analytics, Proquest Central, Emerald Management Journals, Jstor Business College Col‑ lections and Scopus/Elsevier were searched with four keyword-combinations and fnal forty-three articles were included in the dataset. The researchers applied a systematic literature review method to the dataset. The preliminary fndings demonstrated that there is a growing prevalence of digital literacy articles starting from the year 2013. The dominant research methodology of the reviewed articles is qualitative. The four major themes revealed from the qualitative content analysis are: digital literacy, digital competencies, digital skills and digital thinking. Under each theme, the categories and their frequencies are analysed. Recommendations for further research and for real life implementations are generated.
The main objective of the research is to analyze the factors which influence the intention to start an intergenerational family business in a developing economy, highlighting the measures that can be implemented by decision-makers to stimulate these initiatives. PLS-SEM was used to analyze the data issued from 200 valid questionnaires. The survey was applied to 950 individuals from Romania. We focused on four variables: the closeness to family members, the financial support expected from family, the independence of individuals regarding the intention to start their own business and the intention to form partnerships with family members. All the hypotheses were validated, according to the final results. Thus, closeness to family members has a direct and positive impact on both the financial support expected from the family and the intention to form intergenerational family businesses. There is also a direct correlation between the financial support received from family and the intention to have partnerships with family members. Individuals who are closer to their families are not interested in developing independent businesses. There are several studies on family businesses in Romania, but there is no research analyzing the impact of closeness to family on the intention to develop an intergenerational family business. The study is useful for the decision-makers who can create national strategies in order to stimulate families to develop their own businesses.
Cancer remains a leading cause of worldwide mortality and is a growing, multifaceted global burden. As a result, cancer prevention and cancer mortality reduction are counted among the most pressing public health issues of the twenty-first century. In turn, accurate projections of cancer incidence and mortality rates are paramount for robust policymaking, aimed at creating efficient and inclusive public health systems and also for establishing a baseline to assess the impact of newly introduced public health measures. Within the European Union (EU), Romania consistently reports higher mortality from all types of cancer than the EU average, caused by an inefficient and underfinanced public health system and lower economic development that in turn have created the phenomenon of “oncotourism”. This paper aims to develop novel cancer incidence/cancer mortality models based on historical links between incidence and mortality occurrence as reflected in official statistics and population web-search habits. Subsequently, it employs estimates of the web query index to produce forecasts of cancer incidence and mortality rates in Romania. Various statistical and machine-learning models—the autoregressive integrated moving average model (ARIMA), the Exponential Smoothing State Space Model with Box-Cox Transformation, ARMA Errors, Trend, and Seasonal Components (TBATS), and a feed-forward neural network nonlinear autoregression model, or NNAR—are estimated through automated algorithms to assess in-sample fit and out-of-sample forecasting accuracy for web-query volume data. Forecasts are produced with the overperforming model in the out-of-sample context (i.e., NNAR) and fed into the novel incidence/ mortality models. Results indicate a continuation of the increasing trends in cancer incidence and mortality in Romania by 2026, with projected levels for the age-standardized total cancer incidence of 313.8 and the age-standardized mortality rate of 233.8 representing an increase of 2%, and, respectively, 3% relative to the 2019 levels. Research findings thus indicate that, under the no-change hypothesis, cancer will remain a significant burden in Romania and highlight the need and urgency to improve the status quo in the Romanian public health system.
Deep learning AI systems have proven a wide capacity to take over human related activities such as car driving, medical diagnosing, or elderly care, often displaying behaviour with unpredictable consequences, including negative ones. This has raised the question whether highly autonomous AI may qualify as morally responsible agents. In this article we develop a set of four conditions that an entity needs to meet in order to be ascribed moral responsibility, by drawing on Aristotelian ethics and contemporary philosophical research. We encode these conditions and generate a flowchart that we call The Moral Responsibility Test. This test can be used as a tool both to evaluate whether an entity is a morally responsible agent and to inform human moral decision-making over the influencing variables of the context of action. We apply the test to the case of Artificial Moral Advisors (AMAs) and conclude that this form of AI cannot qualify as morally responsible agents. We further discuss the implications for the use of AMAs as moral enhancement and show that using AMAs to offload human responsibility is inadequate. We argue instead that AMAs could morally enhance users if they are interpreted as enablers for moral knowledge of the contextual variables surrounding human moral decision-making, with the implication that such a use might actually enlarge human moral responsibility.
Due to the population’s growing need for energy and the increasing impact of the phenomena of global warming and climate change on a global level, it becomes imperative to diminish energy consumption worldwide. For this reason, a deeper understanding of factors that encourage energy-saving habits and overall lifestyle is required. This research examined the factors that hold an impact on the adoption of energy-saving habits in Romania. It used eight constructs that were checked to see if they influence the individuals’ intentions to save energy. The research used a quantitative analysis approach, with primary data assembled through a survey of the population from six developed counties in Romania. In order to investigate and assess the data, structural equation modeling (SEM) was used. The results show that environmental awareness, perceived consumer effectiveness and a collectivistic perspective affect individuals in implementing energy-saving habits (in their life) in a significant and positive way. However, resistance to change and perceived costs were identified as having a negative and significant impact on the individuals’ implementation of such habits within their households. The outcomes of this research play a part in raising awareness of what could determine a more energy-saving lifestyle, and therefore it is essential that stakeholders within the energy sector in Romania consider the aspects of environmental awareness, perception of consumer effectiveness, perceived costs, collectivism and resistance to change during the development of programs of energy efficiency.
In this article, the approach of network mapping of words in literary texts is extended to “textual factors”: the network nodes are defined as “concepts”; the links are “community connexions.” Thereafter, the text network properties are investigated along modern statistical physics approaches of networks, thereby relating network topology and algebraic properties to literary text contents. As a practical illustration, the first chapter of Genesis in the Bible is mapped into a 10-node network, as in the Kabbalah approach, mentioning God (≡ Elohim). The characteristics of the network are studied starting from its adjacency matrix and the corresponding Laplacian matrix. Triplets of nodes are particularly examined in order to emphasize the “textual (community) connexions” of each agent “emanation,” through the so-called clustering coefficients and the overlap index, hence measuring the “semantic flow” between the different nodes. It is concluded that this graph is a small world network and weakly dis-assortative, because its average local clustering coefficient is significantly higher than a random graph constructed on the same vertex set.
Modeling consumer behavior can be explained in the context of specific paradigms: sociological, psychological, cultural, neurocognitive, anthropological, and economic. With the discoveries in the field of neuroscience, the perspective of over-explaining consumer behavior is heading more toward cognitive neuroscience. The research in neurophysiology has succeeded in explaining the interpsychic processes and in the creation of multiple theories which are trying to determine the cause of human organism reaction to different external stimuli. The current scientifical challenges can be found especially around neuropsychology which is attempting to explain how the human brain works and which are the sections that influence the behavior. The research from neurobiology mentions the fact that at the core of buying purchases is a neurophysiological layer.
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5,142 members
Bogdan-Vasile Ileanu
  • Department of Statistics and Econometrics
Paun Cristian
  • Department of International Economic Relations
Catalina Radu
  • Faculty of Management
Marcel Ausloos
  • Department of Statistics and Econometrics
Catalin Boja
  • Department of Computer Science and Cybernetics
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Prof. Nicolae Istudor PhD Rector of the Bucharest University of Economic Studies
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