HRM as a Significant Factor for Achieving Competitiveness through People: The Croatian Case

This paper evaluates the quality of human resource management (HRM) in Croatia because excellent human resource (HR) policies, programs and activities enable enterprises to maximize their workforce productivity. The research was conducted in enterprises with more than 200 employees. The value of HRM was assessed using the HR audit approach. Fifty-five HR indicators were analyzed from the top 10 Croatian HR enterprises to serve as benchmarks for the final sample of 80 enterprises. Results indicate Croatian enterprises have deficient HR practices, on average. Independent sample t-tests showed 61.82% of HR indicators were significantly better in the benchmark firms. Consequently, HRM in Croatia can not be considered solid ground for achieving competitiveness through people.

Too dynamic to fail: empirical support for an autocatalytic model of Minsky’s financial instability hypothesis

Solomon and Golo (Account Econ Law 3(3):167–260, 2013) have recently proposed an autocatalytic (self-reinforcing) feedback model which couples a macroscopic system parameter (the interest rate), a microscopic parameter that measures the distribution of the states of the individual agents (the number of firms in financial difficulty) and a peer-to-peer network effect (contagion across supply chain financing). In this model, each financial agent is characterized by its resilience to the interest rate. Above a certain rate the interest due on the firm’s financial costs exceeds its earnings and the firm becomes susceptible to failure (ponzi). For the interest rate levels under a certain threshold level, the firm loans are smaller then its earnings and the firm becomes ‘hedge.’ In this paper, we fit the historical data (2002–2009) on interest rate data into our model, in order to predict the number of the ponzi firms. We compare the prediction with the data taken from a large panel of Italian firms over a period of 9 years. We then use trade credit linkages to discuss the connection between the ponzi density and the network percolation. We find that the ‘top-down’–‘bottom-up’ positive feedback loop accounts for most of the Minsky crisis accelerator dynamics. The peer-to-peer ponzi companies contagion becomes significant only in the last stage of the crisis when the ponzi density is above a critical value. Moreover the ponzi contagion is limited only to the companies that were not dynamic enough to substitute their distressed clients with new ones. In this respect the data support a view in which the success of the economy depends on substituting the static ‘supply-network’ picture with an interacting dynamic agents one.     

The volatility of temperature and pricing of weather derivatives

We propose an Ornstein–Uhlenbeck process with seasonal volatility to model the time dynamics of daily average temperatures. The model is fitted to approximately 45 years of daily observations recorded in Stockholm, one of the European cities for which there is a trade in weather futures and options on the Chicago Mercantile Exchange. Explicit pricing dynamics for futures contracts written on the number of heating/cooling degree-days (so-called HDD/CDD futures) and the cumulative average daily temperature (so-called CAT futures) are calculated, along with a discussion on how to evaluate call and put options with these futures as underlying.     

Three levels of education and the economic growth

The aim of this article is to solve the question how the three main stages of education contribute to the labour productivity growth in selected 125 countries in the period 1999–2014. The model is based on the neoclassical production function enhanced with human capital. The authors draw on the Penn World Tables 9.0 and UNESCO databases. The key benefit of this article is that human capital is characterized according to the returns to education from average number of years of formal schooling at the primary, secondary and tertiary level. Based on the panel data analysis, the contributions of capital and of the three levels of education to the growth of labour productivity are estimated. At the same time, the model allows to estimate the contribution of total factor productivity. The results of the analysis show that tertiary education has the strongest impact on labour productivity across the considered economies. At the same time, the breakdown of aggregate human capital by level of education leads to better clarification of the effects of human capital and physical capital on labour productivity. The conclusions also indicate a tendency towards rising returns to scale induced by the secondary and tertiary education.     

Gender Differences in Online Customer Satisfaction: The Asymmetric and Nonlinear Effect

ABSTRACT

The article aims to determine the extent of gender-related differences in user satisfaction with websites with a focus on the asymmetric and nonlinear effects of customer satisfaction. An experiment was conducted with 15 men and 15 women who undertook a typical task (scenario) on 44 websites. Overall, 1,320 evaluations of website quality attributes were obtained and analyzed. The results reveal that men and women differ in their website quality assessment. Marketing professionals should consider their target audience's gender when designing a quality website, or even devise ways of approaching both gender groups through distinct means.     

A path model of factors affecting secondary school students’ technological literacy

Technological literacy defines a competitive vision for technology education. Working together with competitive supremacy, technological literacy shapes the actions of technology educators. Rationalised by the dictates of industry, technological literacy was constructed as a product of the marketplace. There are many models that visualise different dimensions of technological literacy, but clear empirical evidence on how these interact is still lacking. A measurement method that comprehensively evaluates technological literacy is missing. Insights into the stem structure and interaction of technological literacy dimensions could be useful for technology education curriculum design and its implementation. In this study, the multifaceted nature of technological literacy was measured using a new assessment method, and dimensions of secondary school students’ technological literacy were empirically investigated. A total of 403 students participated in the quasi-experimental research design. The treatment group consisted of 121 students taught optional subjects relating to technology education. The control group consisted of 282 students. Results from variance analysis showed that optional technology subjects enhance technological literacy, especially students’ technological capacity where a large effect size (η ²  = 0.14) was noted. Results from a path analysis revealed critical thinking and decision-making as the most important dimensions of technological literacy while the predictor of active participation in out-of-school technical activities and technology homework was a key independent influencing factor. A large effect size (R ²  = 0.4) for career path orientation predictors was detected. Technological capacity was revealed as a decisive predictor for a career path in vocational education and technical high school.     

Application of Fuzzy Benchmarking Approach for Strategic Planning of Tourism Destination

The quality of strategic planning and resulting strategies is a key factor for the competitiveness of tourism destinations. Even though this is not a typical field where benchmarking methods are widely used, such an approach can be successfully applied. This article drafts a methodology for strategic benchmarking based on a quality evaluation of development strategies in tourism destinations. These strategies are evaluated by key regional stakeholders. The evaluation of fifteen selected strategies of the Czech, Slovak, and British regions has been made by an on-line application incorporating carefully defined criteria designed to operate with fuzzy data. The best strategies—as an etalon of good practice—are selected by the means of the fuzzy Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) method. The Region of Vysocina was selected for realization of the benchmarking gap analysis towards all strategies from the etalon with the aim to identify the opportunities for quality enhancement and corresponding good practices.     

Characteristics of food‐wasting consumers in the Czech Republic

This paper investigates food waste at the consumer stage of the food chain. The authors conducted a questionnaire survey with 259 respondents to identify the key characteristics of food‐wasting consumers and to suggest strategies to improve food‐wasting behaviour. The results of the survey confirmed that the rate at which food is wasted depends on the age, economic status and education of the person managing food in a household, on the household's income per person and on total household income. Younger people, students, economically active people and people from higher‐income households (both per household and per person) waste more, while pensioners waste much less than other groups. However, the sex of the food manager is not associated with food waste. These demographic characteristics should be considered when designing consumer education campaigns focussed on changing consumer motivation and behaviour. This paper also recommends other solutions tailored for specific demographic groups: Younger people and students may be influenced by the actions of opinion leaders within social networks, and technical devices enabling better food management could help them reduce waste. Supporting work‐life balance, broadening the network of food delivery services and implementing corporate initiatives that support food waste prevention could help economically active people reduce their food waste. Additionally, offers of ready‐to‐eat food should be expanded for people with higher incomes.