Search

Search Results

• Empirical research on corporate strategies in Hungarian dairy industry

  169-179

  Eszter Szabó-Szentgróti

  Gábor Szabó-Szentgróti

  Zoltán Szakály

  Views:

  350

  Corporate strategy has never been as important as it is nowadays. Markets are changing rapidly because of consumer demands, innovations, information flow and economic changes. Our paper concentrates on Hungarian dairy industry (hereinafter dairy) and four main objectives were defined to be analysed: (1) domestic dairy company features, (2) main strategic characteristics, (3) how companies’ strategy resonates on the consumer side and (4) companies’ financial background were analysed as well. A company database was made in order to prepare for the primary research and to understand better the nature of today’s market. B2B (26 companies) and B2C (503 people) surveys were used in order to gain primary data. In 2017 132 Hungarian companies were observed in milk processing, but 44% of the market participants are not present in dairy competition. It is a fairly fragmented market structure because 10-20% of the annual turnover is accumulated among the 80-90% of competitors. The factor analysis of the data proved that the dairy companies followed m strategies at the same time; and it is assumed that most of them are unconscious. Strategically, the majority of the dairy sector is not up-to-date and modern enough. SMEs sector management skills and strategic preparedness are considered to be out-of-date and insufficient. Strategic planning can possibly have an influence on financial results, which was only partly proved by the analysed criteria system. The production and use of own raw milk supplies might make companies experience financial benefits. Nearly 78% of the respondents would rather purchase goods made from own raw material. The willingness to pay a higher price for this was in average 5-15%.

  JEL Code: L1, L66

• Factors affecting acceptance of smart retail solutions in Hungary: an empirical study using UTAUT2 model

  Eszter Szabó-Szentgroti

  Gábor Szabó-Szentgróti

  Views:

  614

  In today's digitalisation process, retail is also undergoing a transformation, with the emergence of new smart solutions. Integrating intelligent solutions into a business model means new strategic challenges for retailing companies. The aim of the research is to examine the factors influencing the behavioural intention and use behaviour of smart retail solutions (SRS). The proposed model was based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2). Data was collected by conducting a questionnaire of 302 Hungarian respondents. Confirmatory factor analysis (CFA) and partial least squares (PLS-SEM) estimation were implemented. The results showed that behavioural intention is significantly and positively influenced by effort expectancy and it is significantly and negatively influenced by facilitating conditions. Most of the respondents are not yet regular users of SRS, and the market penetration of front-end intelligent solutions in retail is considered as rather low.

  JEL code: M10, M31, O14

• Somatic development and some motor performances of young girls based on age and birth season

  117-123

  Eszter Szabó

  Danica Keczeli

  István Farmosi

  Sándorné Gaál

  Katalin Keresztesi

  Views:

  304

  There are numerous publications in the literature reporting physical development and motor performances of children of different ages based on sex and various environmental factors. However, there are not many publications on the birth season effect. The aim of the study was to evaluate the differences among children in physical development and motor performances based on age and birth season. Physical development described by body height and body weight, in addition to motor performance indicators including the twenty-metre dash, standing broad jump, six minutes of continuous running, throwing with a stuffed ball, and obstacle race-tests were studied. The survey included the participation of 426 girls. From the group the seven-, eight-, and nine-year olds numbered 148, 191, and 87 respectively. The group of girls who were born in winter, spring, summer and autumn numbered 114, 110, 89 and119 respectively. The tested data were evaluated with unitrate analyses of variance using SPSS statistical package. Mean value, standard error, standard deviation and coefficient of variation were calculated. The significance of differences between mean values was evaluated using “t” test. Differences with an error below 5% were considered to be significant. Furthermore, a correlation analysis was used to evaluate the relationship between season of birth, body development and motor-related performance data. Age, body height, body weight, throwing a stuffed ball in one hand, twenty-metre dash, six minutes of continuous running, and obstacle race-test are interdependent variables of development and motor performances of young girls of this age. Data from the study results show that the children group included in the tests was quite homogenous in body height, but heterogeneous in body weight and motor performances. Physical development and four of the five evaluated sport skills were affected by the birth season. Development and motor performances of the summer- and autumn-born girls are generally better than those born in winter or spring. Differences are significant except for the obstacle race-test. Age, body height, body weight, throwing with a stuffed ball in one hand, twentymetre dash, six minutes of continuous running, and the obstacle race-test seem to be interdependent variables of development and motor performances of young girls of this age.