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Although information technology has been at the centre of attention of political branding for some time, research has traditionally focused mainly on its role in the facilitation of communication. This paper aims to unpack the role of information technology in the emergence of new cyber political brands.

This research uses a dual case study approach that focuses on the relationship between branding, politics and information technology. The analysis focuses on two successful political cyber brands: the Italian Five Star Movement and the Czech Pirate Party. Data collection covering the time frame between their emergence and their political success occurs through netnographic methods.

Cyber political brands emerge and materialize in different forms. The present analysis allows for a delineation of three conceptual elements that characterize the constitutive interrelationship of information technology in the emergence of cyber political brands. The first conceptual element, organization, refers to how political brands become structured around linked activities. The second conceptual element, orientation, describes how the activities of a political brand are directed to build a specific path and legitimize courses of action. The third conceptual element, operation, delineates the processes that anchor and stabilize the political brands in its “own” culture, establishing specific base activities.

Information technology and the techno-culture emerging around the two cyber party brands can be seen as the possible delineations of new “cleavages” in the form of “information technology-culture” which enables potential electoral success.

The present study by offering the conceptualization of the cyber political brand shows how political brands can reflect a type of performative cultural branding where they become able, as a networked-medium, to assemble a specific techno-culture. In terms of political brand development, the current analysis offers a framework that allows us to consider the process of political party development in a new fashion.

The purpose of this paper is to investigate the impact of ransomware cyber-attacks “WannaCry” and “Petya” on stock prices of publicly traded companies in the European Union. The study analyses a set of case studies related to largest recent cybercrime events, which happened in the first half of 2017. The study answers two questions, what is the impact of cybercrime to public companies? How do cybercrime announcements and publications affect stock prices?

Using archival financial data, an event study methodology was used to assess the impact of cybercrime activity on market value of European companies affected during WannaCry and Petya ransomware attacks in 2017.

The results suggest that announcements of information breaches because of ransomware exploits have impact on stock market returns. There is evidence of positive investors` reactions to the announcements. Specifically, there was little impact of “Wannacry” ransomware attack on market returns. Although stock market reactions differ by the sector, the market was positively affected in general. Our analysis of the impact of the more aggressive “Petya attack,” aimed at destroying affected data found evidence that such information security breach leads to increased market returns. There were significant abnormal returns starting from the third day of the announcement. These findings contradict previous results and the literature related to the impact of cyber-attacks.

Contrary to previous findings, the results suggest that ransomware attacks lead to positive market returns. However, cybercrime and other types of cyber-attacks pose serious threats whose implications deserve further investigation. Different attacks may have different consequences and could be potentially damaging to a firm’s reputation. Thus, it is necessary for companies to avoid becoming victim of cybercrime. Information systems should be continuously monitored for vulnerabilities.

This paper aims to explore the recognition and success of different ways of branding native advertising in influencer marketing.

The data are evaluated using statistical tests, correlation and cluster analysis.

It was found that the higher the recognition rate of a post tagged in a particular way, the better the tagging method for influencer marketing on Instagram. Based on the findings of this study, word tag is recommended first because it is flexible and has one of the highest recognition rates.

The generalizability of the results across different regional settings requires further investigation.

Good labeling of native advertising leads to greater success.

This study can be used by marketing managers, advertisers and influencers to gain insight into the issue, as well as to better select the appropriate labeling method for their advertising content.

Este trabajo tiene como objetivo explorar el reconocimiento y el éxito de diferentes formas de branding de publicidad nativa en el marketing de influencers.

Los datos se evalúan mediante pruebas estadísticas, correlación y análisis de conglomerados.

Se encontró que cuanto mayor es la tasa de reconocimiento de un post etiquetado de una manera particular, mejor es el método de etiquetado para el marketing de influencers en Instagram. Basándose en los resultados de este estudio, se recomienda en primer lugar el etiquetado por palabras porque es flexible y tiene una de las tasas de reconocimiento más altas.

Un buen etiquetado de la publicidad nativa conduce a un mayor éxito.

Este estudio puede ser utilizado por directores de marketing, anunciantes e influencers para obtener información sobre el tema, así como para seleccionar mejor el método de etiquetado adecuado para su contenido publicitario.

La generalizabilidad de los resultados en diferentes entornos regionales requiere más investigación.

本文旨在探讨影响者营销中不同方式的品牌原生广告的识别和成功。

使用统计测试、相关性和聚类分析对数据进行评估。

研究发现, 以特定方式标记的帖子的识别率越高, Instagram上影响者营销的标记方式就越好。基于这项研究的结果, 首先推荐单词标签, 因为它很灵活, 而且有最高的识别率之一。

对原生广告进行良好的标注会带来更大的成功。

本研究可供营销经理、广告商和影响者使用, 以深入了解这一问题, 并更好地为其广告内容选择合适的标签方法。

研究结果在不同地区环境中的普适性需要进一步调查。

Many important constructs of business and social sciences are conceptualized as composites of common factors, i.e. as second-order constructs composed of reflectively measured first-order constructs. Current approaches to model this type of second-order construct provide inconsistent estimates and lack a model test that helps assess the existence and/or usefulness of a second-order construct. The purpose of this paper is to present a novel three-stage approach to model, estimate, and test second-order constructs composed of reflectively measured first-order constructs.

The authors compare the efficacy of the proposed three-stage approach with that of the dominant extant approaches, i.e. the repeated indicator approach, the two-stage approach, and the hybrid approach by means of simulated data whose underlying population model is known. Moreover, the authors apply the three-stage approach to a real research setting in business research.

The study based on simulated data illustrates that the three-stage approach is Fisher-consistent, whereas the dominant extant approaches are not. The study based on real data shows that the three-stage approach is meaningfully applicable in typical research settings of business research. Its results can differ substantially from those of the extant approaches.

Analysts aiming at modeling composites of common factors should apply the proposed procedure in order to test the existence and/or usefulness of a second-order construct and to obtain consistent estimates.

The three-stage approach is the only consistent approach for modeling, estimating, and testing composite second-order constructs made up of reflectively measured first-order constructs.

The purpose of this paper is to understand the value of foreign work experience for young migrants after their return to the home country labour market and their labour market preferences relative to stayers.

The authors analyse the labour market integration patterns of young return migrants in Slovakia. After reconstructing the life histories of young people from online CVs, a set of regression models investigates the attractiveness, salary expectations and positions of interest to returnees in comparison to stayers.

Post-accession foreign work experience increases the attractiveness of job candidates. Foreign work experience changes the expectations of returnees with respect to wages and widens their perspective on the location of future work. In the underperforming labour market, migration experience signals to employers a set of skills that differentiate young returnees from young stayers in a positive way.

While the web data are not representative, it allows the authors to study return migration from a perspective that large representative data sets do not allow.

Foreign work experience is, in general, an asset for (re)integration into the home labour market, but the higher salary demands of returnees might hinder the process in a less-skilled segment of the labour market.

Return migration is a relatively underresearched area, and knowledge about the perception of returnees among employers and the labour market preferences of returnees is relatively limited. Another contribution lies in the use of online data to analyse return migration from the perspective of both labour demand and supply.

The purpose of this paper is to discuss the findings of an intervention program built on the concept of children’s health literacy, particularly on its citizenship component. This intervention program employed the Investigation-Vision-Action-Change model for action-oriented teaching, where children were supported to investigate different health issues that affect them, create visions about desirable changes, and act toward desirable change. The intervention was implemented in the conditions of a post-communist country (Slovakia) where the majority of health education programs are behaviorally oriented, without giving space to children’s own perceptions and decisions. The study seeks to explore whether fostering children’s participation in forming the school environment improves the three selected factors of school well-being, namely, children’s perception of school, their subjective well-being, and violent behavior in school.

A cluster-randomized controlled trial design was used where ten classes of children aged nine to ten years were randomly assigned to either experimental (n=89) or control group (n=96). The dependent variables were pre- and post-tested using measures drawn from the Health Behavior in School-aged Children study for Slovakia.

The intervention program was shown to yield empirically robust effects, given the significant improvement in children’s perceptions about school, violent behavior, and their well-being, with medium-to-large effect sizes (Hedges’s g ranging from 0.74 to 0.96).

The present study offers an effective approach to enhance the respect for the children’s views on issues that affect them, particularly within post-communist conditions.

As many businesses faced economic disruption due to the Covid-19 pandemic and sought financial relief, existing bank relationships became critical to getting a loan. This study examines factors associated with the development of personal relationships of rural small businesses with community bank representatives.

We applied a mixed-method approach. We employed descriptive statistics, principal factor analysis and logistic regression for data analysis. We distributed an online survey to rural small businesses in five states in the United States. Key informant interviews with community bank representatives supplemented the survey results.

A business owner’s trust in a banker was positively associated with the establishment of a business–bank relationship. However, an analysis of individual trust’s components revealed that the nature of trust is complex, and a failure of one or more components may lead to decreased trustworthiness in a banker. Small businesses that preferred personal communication with a bank were more inclined to relationship banking.

Due to the relatively small sample size and cross-sectional data, our results may not be conclusive but should be viewed as preliminary and as suggestions for future research. Bankers should be aware of the importance of trust for small business owners and of the actions that lead to increased trustworthiness.

The study extends the existing knowledge on the business–bank relationship by focusing mainly on social (instead of economic) factors associated with the establishment of the business–bank relationship in times of crisis and high uncertainty.

Scholarly research on e-procurement has been limited and, like e-government, e-procurement has been researched primarily from the perspective of adoption/non-adoption. This paper aims to focus on public administration employees’ perceptions of the quality of národní elektronický nástroj (NEN) – the Czech national e-procurement tool they are required to use.

The paper is based primarily on statistical analysis of data obtained through two questionnaire surveys addressed to contacts from of all Czech central state administration bodies using NEN; 175 completed questionnaires were gathered in 2020 and 128 in 2022 and subjected to statistical analysis in SPSS.

NEN was launched as fully operational in August 2015. The research indicates that in 2022 there were still important gaps in the quality of NEN as perceived by public employees.

The paper has important practical implications for e-procurement policymakers. It shows that making the e-procurement system compulsory is not sufficient. The government needs to guarantee that it would be competitive with tools that would otherwise be preferred. Otherwise, the application of the digital-by-default principle may lead to institutionalisation of services that are not user-friendly. This has important implications for e-government/e-procurement management and change management.

Little is known about public employees’ perceptions of the quality of e-government and e-procurement. Although e-procurement is an area where the digital-by-default principle was implemented rather early, the quality of e-procurement has still received limited attention in research.

We explore the effects of three organizational variables (country of origin of the multinational company (MNC), the timing of entry into the European Union and the mode of establishment of the MNC subsidiary unit) on the human resource management (HRM) practices being pursued by subsidiaries of large MNCs operating in selected countries in Central and Eastern Europe (CEE) and the Former Soviet Union. Furthermore, we examine whether the degree of autonomy afforded to the subsidiary over its preferred HR recipes is related to overall local unit performance.

We profile the HRM practices of 379 foreign owned subsidiaries located in Bulgaria, Croatia, The Czech Republic, Kazakhstan, Poland, Hungary, Russia, Romania, Serbia and Slovakia. Using descriptive statistics, we present the general characteristics of the sample and we then use bivariate statistical analysis to test our hypotheses relating to the impact of different organizational factors on the HR practice mix implemented in the MNC subsidiaries covered in our survey.

We find a significant correlation between the annual training budget, the importance of knowledge flow from headquarters (HQs) to the subsidiary and the perceived criticality of training and development and whether the subsidiary is a greenfield site or an acquisition. A correlation was also found between the national timing of EU membership (older members, newer and then candidate countries and non-EU members) and three HR practice variables: the use of expatriates, external service providers and employee relations practices.

Our research calls attention to the issue of balancing the efficiencies of standardization with the local preferences and traditions of customization which results in more successful MNC control and ultimately higher levels of performance. It also calls attention to the challenges in pursuing research of this nature over time in the CEE region, especially given the dynamic nature of the MNC mix in each of the countries.

Our findings serve to reduce the information gap on foreign-owned companies in CEE and the Former Soviet Union.

Despite some 30 years of transition, there remains a paucity of empirical research on the HR practices of MNCs across a number of countries in the CEE region. For a decade and a half, the CEEIRT group[1] has been systematically gathering empirical evidence. The combination of the breadth (10 countries) and depth (numerous items related to MNC subsidiary relationships with corporate HQs and patterns of HR practices and roles) characterizing the ongoing research effort of the CEEIRT collaboration serves as a mechanism for augmenting the empirical base on HRM in the region.

The purpose of this chapter is to analyze the impact of public agricultural Research and Development (R&D) investments on agricultural productivity and long-term food security to derive policy recommendations. The methodological approach is based on the application of the state-of-the art Computable General Equilibrium (CGE) model to R&D. By endogenizing R&D in global CGE models, it is possible to assess the impact of different public R&D policies on the food availability and food access of food security. This study found that R&D investments bring positive effects on the food access dimension of food security, particularly in places such as Sub-Saharan Africa where prices are expected to grow significantly by 2050, as agricultural land becomes scarcer and more expensive. Doubling the R&D intensity would soften the land constraints and substantially decelerate food prices, thus preventing the deterioration of living standards of rural households and leading to a gain in daily caloric consumption. The impact of alternative agricultural R&D policies on the various dimensions of food security has not been analyzed using a CGE framework, which enables capturing both the benefits and costs from R&D investments. Modeling the dynamic accumulation of R&D stocks makes it possible to analyze the effects of R&D on food security over time.