Non-profit organizations (NPOs) have become increasingly important in the last decade for Romanian society since the state often failed to fulfill some of its social responsibilities. Romania's economic and financial crisis several years ago hardly hit non-profit sector because it led to a significant drop in public spending at the government level and cuts of financing programs from companies, two main donors for NPOs while simultaneously has amplified society's problems and gave rise to new target groups requiring support. This led to an acute need to address sustainability at organizational level since existing sustainability models in the literature are hardly adequate for Romanian context. We developed a model based on literature survey and Romanian experts' interviews, which allow us to identify relevant factors for Romanian non-profit sustainability. Three determinants were considered: Cognitive competence (nine items analyzed), Social awareness (seven items analyzed) and Financial vulnerability (four items analyzed), as well as two types of results: economic and social. The model was tested through an empirical research on 103 Romanian NPOs and on two sub-samples (nongovernment organizations and community based organizations) and found, using univariate and bivariate analysis, that the three considered determinants are correlated and statistically influence Romanian NPOs sustainability.

This paper investigates effects of strategic choice on organizational performance for Romanian family-owned Small and Medium sized Enterprises (SMEs). Using adapted Jacquemin-Berry entropy index for both product and international diversification and using a regression model, our study discusses family involvement as a moderating factor for organizational performance assessment. We discovered that there are multiple interactions between strategic choice and organizational performance while family involvement fails to have a significant role in moderating these interactions.

Nowadays, innovation is valued as being of utmost significance when evaluating measures of sustainable development and performance constructs. The current research develops investigations into the field of frugal innovation (FI) and how this process can contribute to business sustainability. This study performs a comprehensive evaluation of scientific production through the quantitative method of bibliometric analysis to facilitate our understanding of the current structure of studies and to highlight future research paths on FI and business sustainability. The paper maps the literature by narrowing its research topics and identifying certain patterns. Using the Web of Science database (WoS) on a sample of 2072 documents, descriptive and performance analyses were conducted. The VOSviewer software was used to perform the science mapping of the conceptual, intellectual, and social structure that provides scholars with a quantified and graphic representation of the FI and business sustainability field. The trend towards the analysis of business sustainability and consumer behaviour in the context of FI is highlighted. Annual scientific production and citation analysis reveal significant growth in international interest and scientific production, indicating an increasing line of inquiry for this topic at the start of the twenty-first century. The prominent scholars in the field are of European origin, while the highly active countries in the subject of FI and business sustainability are the USA, Germany, England, the Netherlands, and India, with major collaborations across the globe. This paper covers the limits identified by previous scholars by detailing the knowledge base and by using science mapping tools to document the structure of the literature; distinguish key journals, articles, and authors; and highlight new emerging topics of research.

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This paper explores the application of CEAC (Cost Estimate at Completion) calculation models for construction projects in Romania. Four models based on Earned Value Management, a GGM (Gompertz Growth) based model, and an Earned Schedule GGM based model were selected. Based on the data analyzed for 30 projects, the percentage error was determined to apply the four EVM models and the two GGMs based on each project. Percentage error for applying ES GGM based models was lower than for EVM models (Cost Performance Index, Composite Index, Critical Ratio, Moving Average). The accuracy and precision of ES-GGM based models have proven superior in all project life cycles compared to EVM models.