No abstract

This paper advances the study of the relationship between the attitude towards academic dishonesty and other types of dishonest and even fraudulent behavior, such as tax evasion and piracy. It proposes a model in which the attitudes towards two types of cheating and fraud are systematically analyzed in connection with a complex set of latent construct determinants and control variables. It attempts to predict the tolerance towards tax evasion and social insurance fraud and piracy, using academic cheating as the main predictor. The proposed model surveys 504 student respondents, uses a partial least squares—path modeling analysis, and employs two subsets of latent constructs to account for context and disposition. The relationship between the outcome variable and the subset of predictors that account for context is mediated by yet another latent construct—Preoccupation about Money—that has been shown to strongly influence people’s attitude towards a whole range of social and economic behaviors. The results show academic dishonesty is a statistically significant predictor of an entire range of unethical and fraudulent behavior acceptance, and confirm the role played by both contextual and dispositional variables; moreover, they show that dispositional and contextual variables tend to be segregated according to how they impact the outcome. They also show that money priming does not act as a mediator, in spite of its stand-alone impact on the outcome variables. The most important result, however, is that the effect size of the main predictor is large. The contribution of this paper is two-fold: it advances a line of research previously sidestepped, and it proposes a comprehensive and robust model with a view to establish a hierarchy of significance and effect size in predicting deviance and fraud. Most of all, this research highlights the central role played by academic dishonesty in predicting the acceptance of any type of dishonest behavior, be it in the workplace, at home, or when discharging one’s responsibilities as a citizen. The results presented here give important clues as to where to start intervening in order to discourage the acceptance of deviance and fraud. Educators, university professors, and academic administrators should be at the forefront of targeted campaigns and policies aimed at fighting and reducing academic dishonesty.

Relația dintre venituri și productivitatea muncii în industria textilăVeniturile și productivitatea muncii sunt indicatori economici importanți, relațiile dintre acestea fiind analizate de economiști, angajatori și factorii de decizie. Relația dintre venituri și productivitatea muncii este importantă pentru fiecare regiune sau sector economic, deoarece aceasta influențează standardul de viață și distribuția veniturilor între muncă și capital. Lucrarea analizează legătura dintre salariul mediu brut și productivitatea muncii din industria textilă în perioada 2005-2016, în România. Rezultatele analizei evidențiază că există o corelație pozitivă, dar moderată, între salariul mediu brut și productivitatea muncii. În acest scop, au fost utilizate metodele statistico-econometrice pentru a verifica normalitatea distribuției seriilor de date și existența unei corelații între indicatorii analizați.Cuvinte-cheie: câștig, eficiență, industria textilă, câștiguri salariale medii brute, productivitate during 2005-2016 in Romania. The results of the analysis show that there is a positive, but moderate correlation between gross average earning and labor productivity. For this purpose were used statistical-econometric methods to verify the normality of data series distribution and the existence of a correlation between the indicators analyzed. The relationship between earnings and labour productivity in textile industry Earnings and labor productivity are important economic indicators, the relationship between them being analyzed by economists, employers and policy makers. The relationship between earnings and labor productivity is important for each region or economic sector, because it influences the living standard and the distribution of income between labor and capital. This paper analyzes the link between gross average earning and labor productivity in the textile industry