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The aim of this paper is to determine the differences in students' attitudes related to online and traditional teaching, then to determine the level of student satisfaction with online teaching, factors affecting it as well as to examine the problems students most often face during online teaching.

The survey method is used to collect primary data. In the empirical research participate 312 students on the territory of the Republic of Serbia who used e-learning during the Covid-19 pandemic. Descriptive statistical analysis, paired samples t-test, reliability analysis, confirmatory factor analysis and structural equations modeling are applied in the paper.

Research has shown that students are generally more satisfied with traditional than online teaching. Then, the analysis shows that professors' activities and the quality of e-learning have ? Significant positive effects on student satisfaction with online teaching, as well as on student motivation, then perceived usefulness has a positive impact on motivation and intention to use e-learning and student motivation has statistically significant effects on satisfaction with online teaching. The biggest shortcomings of online teaching are: monotonous teaching, lack of interaction with professors, lack of interaction with other students as well as lack of socialization.

Although a large number of studies have studied e-learning and student satisfaction, this paper has studied e-learning in the specific conditions of the Covid-19 pandemic. Of particular value to this paper is the comparison of student satisfaction with online teaching during the pandemic and student satisfaction with traditional teaching.

The purpose of this study is to examine the components of the utilitarian and hedonistic dimensions of the quality of mobile banking services, their impact on customer satisfaction, as well as the effects of satisfaction on word of mouth (WOM) and intention to use.

The analysis includes 307 mobile banking users in the Republic of Serbia. Reliability analysis, confirmatory factor analysis, structural equation modelling and multigroup analysis are applied in the paper.

The results show that security/privacy, perceived usefulness, perceived ease of use, design and enjoyment are important drivers of customer satisfaction, and that satisfaction has very strong effects on WOM and intention to use. In addition, there are apparent differences in the relationships between the two groups of respondents observed: innovators and followers.

The originality of the paper lies in the innovative model that includes a combination of the TAM model and the utilitarian/hedonistic dimension of the quality of mobile banking services. An element of the study which is of particular value is its segmentation of customers into innovators and followers – dividing respondents into two groups depending on whether they are among the first people in their environment to start using mobile banking services.

The purpose of this paper is an analysis of the process of digital transformation of enterprises, by measuring the efficiency of the use of information and communication technologies (ICTs) in business in 29 European countries in the period from 2012 to 2020.

A Charnes, Cooper and Rhodes data envelopment analysis (CCR DEA, 1978) window model has been developed to measure the ICT efficiency of European countries. Several indicators of the use of information and communication technologies in enterprises are selected as the variables of the proposed models, which are available as such in the Eurostat database for European countries. Due to the sensitivity of the results obtained by applying the DEA method to measurement errors and output values, the robustness analysis of the obtained values of average efficiency is also performed, using the bootstrap method.

The obtained results show that the highest average technical efficiency of the use of ICT in companies by windows, in the observed period, is recorded in Belgium, while Denmark is in the second place. Bulgaria, Romania, Greece and Latvia have the lowest average technical ICT efficiency per window. The analysis of the obtained results by years in the same period brings identical conclusions. Only Belgium has been ICT efficient many times. In general, for all observed countries, the movement of average ICT efficiency in the observed period shows a slightly growing trend, with the exception of a significantly decline in 2013. However, the fact is that the ICT efficiency of the observed countries in the past period is relatively low and for all countries it is 46.36%, with no country being 100% efficient and with eight countries whose average efficiency is below 50% of best practice.

To measure and evaluate the efficiency of ICT use in enterprises, four variables for efficiency assessment are identified, given the fact that only these data are available continuously for the observed period from 2012 to 2020 in the Eurostat database.

Low efficiency of using digital potential in business of the observed countries indicates the need for better understanding of the nature and goals of the digital business transformation process by employees and management, to create conditions for effective implementation and optimization of business digitalization.

Measurement of digital transformation is the subject of a very small number of studies and research, which mainly focus on measuring and assessing the impact of digital transformation on individual countries and perform a comparative analysis of technological development in those countries. Also, analyses are mainly based on identifying similarities and differences between countries or ranking countries according to adopted evaluation criteria using different digitization indices. A step forward in this research is the application of the DEA window method for measuring the relative efficiency of the use of ICT in enterprises, and the development of a model that can be extended if necessary with indicators for which data are available.

The aim of this paper is to evaluate the intensity and success of the digitalization process, by measuring the efficiency of the use of information and communication technologies in business in the Republic of Serbia (RS) in the period from 2006 to 2019.

The data envelopment analysis method is applied and due to the sensitivity of the results to measurement errors, the robustness analysis of the obtained values of average efficiency is performed, using the bootstrapping method.

The results show an intensive, expansive and relatively efficient process of digital business transformation in the RS. The results indicate inefficient use of software packages, While the efficiency of e-commerce in companies in most years is over 80%.

The research is limited to the RS, so the conclusions cannot be generalized in a broader context.

The biggest problem in the implementation of digital business transformation in the RS is the understanding of management and employees in organizations that digital business transformation will take place only if software solutions are purchased and installed, with less attention paid to their proper application and low use of their maximum capabilities.

Digital transformation measurement is the subject of a very small number of studies. Through a review of the literature, the authors of this paper do not find the use of data envelopment analysis to measure the efficiency of digital business transformation in the way they present it in this paper.