Journal of Business Economics and Management
The Journal of Business Economics and Management publishes original research papers that provide insights into business and strategic management issues. More information ...
- Effect of health system performance on volatility during the COVID-19 pandemic: a neural network approachpor Catalin Gheorghe el febrero 27, 2024 a las 10:00 pm
The study proposes an assessment of the link between the performance of national health systems and volatility during the COVID-19 pandemic. Data from the World Health Organization was accessed regarding the Global Health Security Index of the states considered in the analysis as well as the categories based on which it is determined. To characterise volatility, a representative stock market index was considered for each of the 60 states analysed. Data processing was carried out using an artificial neural network. The main results show that: i) before the pandemic, the link between market volatility and the performance of national health systems was weak; ii) during the pandemic, the connection between the two variables is much stronger; iii) between the six categories that define the Global Health Security Index, norms, health, and prevention had the greatest influence on volatility.
- The assessment of risk tolerance of Hungarian travellers towards abroad tripspor Andrea Hanna Solyomfi el febrero 14, 2024 a las 10:00 pm
This study identified and examined significant factors affecting the risk tolerance of Hungarian travellers towards abroad trips. Data for the empirical research was derived from an online survey. The final questionnaire included 45 statements describing aspects of travel safety and travel preferences. There was a total of 496 responses, which enabled them to be analyzed. A structural equation modeling (SEM) approach was used to develop the model of risk tolerance assessment. As a result of the study, physical security, price sensitivity, mood-driven factor, and destination's image in the media may be considered as substitutes for determining travellers' risk tolerance. This research contributes to the body of knowledge by supporting the proposition that inner personality traits and image factors may influence tourism preferences, suggesting future studies should use a multivariate approach to explain and predict tourism choices. Tourism managers and private companies operating in this sector can find the results of this study very helpful in planning and promoting tourism to risky destinations.
- The consumers perceptions of employer and service brand equity’s: the exploratory and confirmatory factor analysispor Indrė Ščiukauskė el febrero 4, 2024 a las 10:00 pm
While the traditional components of employer brand equity are applied in the context of an organization’s employees, this study sought to assess a hitherto unexplored context – the extent to which employer brand equity impacts on consumers of an organization’s service brand rather than the target audience. The two research objectives were: 1) to identify the specific dimensions of both employer and perceived service brand equities 2) to assess the relationship between them and consumer behavioral intentions. The study was based on quantitative data of 526 respondents, using both Exploratory (EFA), Confirmatory factor analysis (CFA) and structural equation modelling (SEM). The findings confirmed the 3 (employer brand image, reputation, and awareness) and 4 (service brand image, perceived quality, service brand awareness, brand loyalty) factors of employer and service brand equities respectively. The study revealed the employer brand equity significant relationship with service brand equity, but the lack of direct effect on consumers’ behavioral intentions. The research is novel as it assesses the employer brand equity’s impact not only on the service brand’s overall perceived equity, but also on consumers’ behavioral intentions, by examining the impact on two different groups (existing and potential service brand consumers).
- The nexus of big data analytics, knowledge sharing, and product innovation in manufacturingpor Bülent Yildiz el enero 25, 2024 a las 10:00 pm
In today‘s highly competitive business environments, manufacturers face stiff competition. As digital technologies have become more pervasive, many businesses in the manufacturing sector have begun to tap into the potential of big data analytics to gain an edge in their markets. Companies in the manufacturing sector can gain a significant competitive advantage by strategically utilizing big data analytics to uncover profound insights that have the potential to significantly enhance their capabilities in product innovation. This research delves into communication’s role as a go-between for big data analytics and product innovations’ success at manufacturing firms. The validity and reliability of the measurement scales were first thoroughly examined in this study. The research model was then tested using structural equation modeling and process macro analysis. The analytical findings unveil those big data analytics exert a pronounced, positive, and statistically significant impact on product innovation performance and information-sharing dynamics. Furthermore, it is discerned that information-sharing exerts a substantial and affirmative influence on the capacity for product innovation. Additionally, it is established that the impact of big data analytics on product innovation performance undergoes moderation by the information-sharing mechanism.
- Employability, proactiveness and workplace behaviors: is socioeconomic status a mediator?por Carmen Păunescu el enero 25, 2024 a las 10:00 pm
The paper aims to examine individuals’ behavior at work and/or in college, by placing the focus on employability, proactiveness and socioeconomic status as predictors. The paper’s objectives are threefold: (1) to examine if there is a causal relationship between employability and proactive personality of individuals and their citizenship or deviant behavior at work and/or in college; (2) to understand the extent to which socioeconomic status influences individuals’ citizenship or deviant behavior at work and/or in college; and (3) to determine the mediation role of socioeconomic status in the causal relationship between employability and proactiveness and individuals’ behaviors. Linear regression models were employed to test the predictive power of the variables once a causal relationship had been confirmed. Mediation tests were used to quantify the extent to which a variable participated in known causal relationships. The research reports results based on data collected from 534 university business students in Romania. The results confirm that employability and proactiveness predict workplace behavior, and that socioeconomic status mediates this relationship.