Search results

The analysis of the effect of screw angular velocity on the mixing efficiency of open mixing screws.

Measurements and discrete element method based simulations.

There is an optimal screw rotation angular velocity above which there is no reason to operate the mixing apparatus, as the mixing efficiency does not increase with the increase of screw angular velocity.

By using discrete element method based optimization of open mixing screw apparatus, the effective mixing of agricultural grains can be achieved. The quality degradation of the dried product can be reduced.

The causeless increase of screw angular velocity results higher power consumption and quality degradation because of the increasing value of contact forces arising between the mixed particles.

Our article shows that by using discrete element based simulations, the optimal working parameters of open mixing screws can be evaluated.

Replacement of milk fat with vegetable fats (e.g. coconut oil or palm fat) in sour cream is a well-established practice among producers – these products are called sour cream imitations or sour cream analogues. Although sour cream imitations are legitimate products, consumers might be confused by them. The purpose of this paper is to assess the familiarity of sour cream imitations, the opinion of consumers, and to map the factors that may affect purchasing decision.

A quantitative consumer survey (n=1,000) has been conducted in 2017 based on personal interviews. Data were analysed by descriptive statistics and partial least squares structural equation modelling.

Results showed that the majority of Hungarian consumers have already purchased a sour cream imitation. In total, 69.65 per cent of them bought the imitation product accidentally: packaging and placement on the shelves were mentioned as major reasons. And 44.68 per cent of the respondents consider this product category to be misleading. Path modelling revealed that the perceived price-value ratio of the product and the respondent’s culinary skill, knowledge, consciousness and general preference of sour cream have a significant impact on the willingness to buy of sour cream imitations.

Sour cream imitations are accepted as reasonable cheaper alternatives to sour cream as it has been revealed by descriptive statistical methods and structural equation modelling. However, producers and retailers should avoid misleading packaging and product placement. General communication to broaden consumer knowledge would be also important. The study provides evidence-based input for producers, retailers, marketing experts and policy makers on consumer behaviour regarding food product analogues.

Discusses various aspects of market research in Eastern Europe, with special emphasis on the Hungarian experience under the New Economic Mechanism. Attempts to show how the manner in which various sources of information can and should be utilized. Highlights differences and similarities between methodology of marketing employed in the East and the West. Presents a cross‐section of case studies to illustrate market research carried out. Suggests that marketing research is an important function in Eastern Europe.

This study aims to examine the direct effects of Green Human Resource Management (GHRM) practices on employee green behavior (EGB) in the university setting in Bangladesh and to find the indirect effects of how GHRM promotes EGB through sequentially mediating employee environmental knowledge management (EEKM) (environmental knowledge and knowledge sharing) and green self-efficacy (GSE).

For the empirical study, the researcher uses partial least squares structural equation modeling to test the proposed conceptual model built on existing literature for greening workplaces in the university in Bangladesh. The study has collected data from 288 Bangladeshi university employees using convenient sampling.

The findings that GHRM practices positively and significantly promote EGB, which captures the employee's tendencies to exercise green behavior in daily routine activities such as turning off lights, air conditioning, computers and equipment after working hours, printing on both sides, recycling (reducing, repair, reuse), disseminating good green ideas, concepts, digital skills and knowledge to peers and champion green initiatives at work. Moreover, the findings also revealed the sequential mediation of EEKM (environmental knowledge and knowledge sharing) and GSE of employees between the link GHRM and EGB. At last, the findings suggested that HR managers can implement the GHRM practices to promote green behaviors among the academic and non-academic staff of the university.

This study contributes to the field by extending knowledge of Social Cognition Theory and Social Learning Theory for greening workplaces in Bangladesh, particularly universities. Specifically, this empirical study is unique to the best of our knowledge and highlights the role of EEKM and GSE as mediation between GHRM and EGB association.

The purpose of this paper is to determine and quantify the most dominant types of food waste in Hungarian households and to analyse the effect of demographic background and income as influencing factors.

Data related to solid and liquid food waste were recorded from 100 households for one week. The study primarily focussed on avoidable food waste, however, unavoidable and potentially avoidable food waste were also measured. Appropriate tools and manual were provided to the households to ensure data consistency.

Estimated quantity of total food waste (including liquid waste) per capita is 68.04 kg/year. In all, 48.70 per cent of total food waste would have been avoidable (equals to 33.14 kg/capita/year). Most frequently wasted food categories were meals and bakery products. In case of some demographic categories, different wastage levels were observed. It was also confirmed that income has effect on food waste production that varies by foodstuff categories: bakery product waste was mainly dominant for middle income consumers and fresh fruits were typically wasted by more affluent households. Apart from that, higher income resulted in higher food waste production in general.

This primary data set about avoidable food waste in Hungary contributes with relevant information to the refining of international estimates. Having specific data on food wastage and the most affected target groups, as well as information on the impact of the income can be applied in planning awareness raising campaigns.

The research is based on measurement of food waste categories in households resulting in detailed data sets. This study is one of the first investigations based on primary data collection from the eastern part of Central Europe and the very first related to Hungary. The study draws attention also to the influence that household income exerts on the issue of food waste.

This study aims to explore the holistic context of organisational staff retention in small, medium and large organisations. It also aims to identify the factors affecting the retention of organisations of different sizes.

The study implements an empirical test of a model created during previous research with the participation of 511 employees. The responses to the online questionnaire and the modelling were analysed using the partial least squares structural equation modelling method. The models were tested for internal consistency reliability, convergent and discriminant validity, multicollinearity and model fit.

Two models were tested by organisation size, which revealed a total of 62 significant correlations between the latent variables tested. Identical correlations were present in both models in 22 cases. After testing the hypotheses, critical variables (nature of work, normative commitment, benefits, co-workers and organisational commitment) were identified that determine employees’ organisational commitment and intention to leave, regardless of the size of the organisation.

As a result of this research, the models developed are suitable for identifying differences in organisational staffing levels, but there is as yet no empirical evidence on the use of the scales for homogeneous groups of employees.

The results show that employees’ normative commitment and organisational commitment are critical factors for retention. Of the satisfaction factors examined, the nature of work, benefits and co-workers have a significant impact on retention in organisations, so organisational retention measures should focus on improving satisfaction regarding these factors.

The readers of the journal would appreciate the work, which highlights the significance of employee psychology and retention for organisational success.

The study is based on primary data and, to the best of the authors’ knowledge, is one of the few studies that take a holistic approach to organisational staff retention in the context of the moderating effect of organisational size. This study contributes to a comprehensive understanding of the phenomenon of employee retention and in contrast to previous research, examines the combined effect of several factors.

The aim of the paper is to test and demonstrate the potential benefits in applying reinforcement learning instead of traditional methods to optimize the content of a company's mobile application to best help travellers finding their ideal flights. To this end, two approaches were considered and compared via simulation: standard randomized experiments or A/B testing and multi-armed bandits.

The simulation of the two approaches to optimize the content of its mobile application and, consequently, increase flights conversions is illustrated as applied by Skyscanner, using R software.

The first results are about the comparison between the two approaches – A/B testing and multi-armed bandits – to identify the best one to achieve better results for the company. The second one is to gain experiences and suggestion in the application of the two approaches useful for other industries/companies.

The case study demonstrated, via simulation, the potential benefits to apply the reinforcement learning in a company. Finally, the multi-armed bandit was implemented in the company, but the period of the available data was limited, and due to its strategic relevance, the company cannot show all the findings.

The right algorithm can change according to the situation and industry but would bring great benefits to the company's ability to surface content that is more relevant to users and help improving the experience for travellers. The study shows how to manage complexity and data to achieve good results.

The paper describes the approach used by an European leading company operating in the travel sector in understanding how to adapt reinforcement learning to its strategic goals. It presents a real case study and the simulation of the application of A/B testing and multi-armed bandit in Skyscanner; moreover, it highlights practical suggestion useful to other companies.