This paper investigates the effect of network centrality and network density on the propensity to engage in positive and negative eWOM, using social networks usage as a moderating variable. The research method was Structural Equation Modeling, and the data were collected through a survey conducted on 436 respondents from Romania. Findings showed that centrality and density only affect negative eWOM intent, the relationship being stronger at higher levels of network usage. In consequence, influential network members are more readily inclined to produce unfavorable eWOM. Subsequently, companies should make continuous efforts to spot and turn around bad publicity online.

The purpose of this article is to define the level of significance of the different indicators that influence the benefits expected by the customers when deciding on a bank card. The most important indicators that affect the expectations when using the bank card were considered: The level of the credit limit, the existence of rewards programs, the costs associated with the card, the existence of associated services of type e-banking/m-banking, the image and the social status, the possibility to perform ATM cash operations, customer service, ease of use and volume of information on the card. The research was carried out on a sample of 148 bank cardholders in Romania from the Millennials and Generation Z. The values of the indicators for different categories of users of bank cards and different age categories can be determined based on the obtained results and the tests performed. The determined values of the indicators represent the basic elements for building a regression model that will help bank managers to optimize their personalized offers in relation to customer expectations.

The new era of hyper-communication has led organizations to increasingly adopt communications technologies such as instant messaging (IM) for better connections and improved work efficiency. The ongoing COVID-19 pandemic has exerted further pressure and many organizations increasingly depend on IM tools to manage remote workers. In this new context, negative workplace impacts of IM seem more plausible, because technology use causes technostress. In this paper, we propose a research model to analyze instant messaging usage effects on individual work performance and well-being by the means of relevant techno-stressors. The model was tested on a sample of 372 employees from Romanian organizations that use instant messaging at work. Econometric analysis relies on the Structural Equation Modelling methodology and uses SPSS AMOS. Our findings suggest that the usage of instant messaging significantly influences on perceived techno-complexity, techno-overload and techno-invasion, which in turn influences, to some extent, both individual work performance and well-being. Dividing the sample according to the type of work (teleworking and office work), we compared the results between these two groups and encountered some significant differences.

Purpose: The purpose of this article is to highlight the relevance of the factors that influence the satisfaction of e-commerce consumers in Romania and Moldova. The study aims to clearly define the main influence factors, so that the marketing managers of the online stores can adopt scientific well-founded decisions.Design/methodology/approach: The paper opted for a study including a large sample of 399 respondents from two countries. For the analysis of the factors influencing the e-commerce satisfaction, multiple linear regression analysis was implemented, and their differentiation within the two countries was highlighted by multivariate analysis of variance.Findings: The research conducted and the results obtained show that there is a differentiation of the factors that influence the level of satisfaction of e-commerce users in Romania and Moldova.Research limitations/implications: The research is still limited in terms of population studied to only two countries: Romania and Moldova. Although the study is intended to be exhaustive by analyzing no less than 11 factors influencing the satisfaction generated by e-commerce, it is still limited to this group of representative factors. Another limitation has to do with the limited number of demographic variables the authors have included.Practical implications: Based on the results, the managerial implications for e-commerce companies that want to uniquely address consumers in Romania and Moldova are related to the decisions of marketing and sales managers who must allocate budgets and resources to improve the eight aspects highlighted in the paper. Also, the e-commerce companies should not allocate resources for the implementation of functionalities such as in-app after sales services, the possibility to cancel an order or the live consultant support feature, because these aspects do not influence the satisfaction of e-commerce consumers in Romania and Moldova.Originality/value: This paper is the first in the scientific literature that implements a comparative study on the influence factors regarding the e-commerce satisfaction in Romania and Moldova. Also, it is important to mention that the present study is an exhaustive one because it includes many influence factors that were analyzed separately in the previous research papers from literature review.

In recent years educational institutions are increasingly using online learning and because of this trend it is necessary to investigate its impact on student academic performance. Although this topic has been addressed in different educational fields before, there is an objective justification for our approach. Thus, the reasoning behind this particular research is the fact that recent findings have shown that the academic performance of students using online education is affected by a series of motivating factors which can have an impact on their performance. The main goal of this paper is to highlight and analyze the mediating effect of intrinsic student motivation and student academic engagement and how they affect the relationship between the range of support, which students receive during their online learning and thus their academic performance. This study was conducted in two higher educational institutions in Mexico and Romania, with a sample of 822 students. The data was analyzed using a second generational PLS-SEM technique. The results confirm that the support students enjoy during online learning has no direct impact on their academic performance, unless it is fully mediated by their own intrinsic motivation and academic engagement. The influence of Gender was also analyzed, but it was not found to be a determining factor of academic performance in both higher educational institutions. These findings not only have theoretical and practical implications for students, teachers and education authorities, they also help us to broaden the field of knowledge in the e-learning environment.

The purpose of this article is to make an exhaustive analysis of the influencing factors for the phenomenon of workaholism in IT. In contemporary economies, workaholism is an increasingly common phenomenon. Companies should evaluate the impact on workers of this trend, and note that knowledge of the factors influencing the decision to overwork can be a competitive advantage when implementing human resources policies. Our approach involved the use of multivariate analysis of variance combined with multiple linear regression analysis. The article analyzes the data from 178 respondents who are employed in the IT sector in Romania, taking into account seven potential factors of influence. The data and econometric analyses were processed in IBM SPSS Software. The results of the multivariate analysis of variance combined with multiple linear regression analysis show a significant relationship between workaholism and influencing factors such as the remunerative component of work, the intrinsic pleasure of working, the sense of responsibility towards family, and the desire to develop during a professional career. In this study, socio-demographic influences were found to have a weak influence on the decision to work excessively.