Do data policy restrictions impact the productivity performance of firms and industries?

This paper examines how policies regulating the cross‐border movement and domestic use of electronic data on the internet impact the productivity of firms in sectors relying on electronic data. In doing so, we collect regulatory information on a group of developed economies and create an index that measures the regulatory restrictiveness of each country's data policies. The index is based on observable policy measures that explicitly inhibit the cross‐border movement and domestic use of data. Using cross‐country firm‐level and industry‐level data, we analyse econometrically the extent to which these data regulations over time impact the productivity performance of downstream firms and industries, respectively. We show that stricter data policies have a negative and significant impact on the performance of downstream firms in sectors reliant on electronic data. This adverse effect is stronger for countries with strong technology networks, for servicified firms, and holds for several robustness checks.     

Competitive Advantage and Human Resource Management in SMEs in a Transitional Economy

The article is based on data of the study of 151 small companies in Slovenia by J. Pranikar and others. The study is the first investigation of small firms in slovenia with a sufficiently large number of cases to enable conclusions about the ways in which SMEs are managing to cope with new opportunities and problems. The aim of this article is to investigate a link between competitive advantage and human resource management in SMEs in a transitional economy. Results indicate that a link indeed exists in that human resource efforts in SMEs to a certain degree contribute to the competitive advantage of companies.     

Technological literacy for students aged 6–18: a new method for holistic measuring of knowledge,capabilities, critical thinking and decision-making

Technological literacy is identified as a vital achievement of technology- and engineering-intensive education. It guides the design of technology and technical components of educational systems and defines competitive employment in technological society. Existing methods for measuring technological literacy are incomplete or complicated, unreliable, unstable and imprecise, time-consuming, and require large expenditures on resources. This paper presents a new method for valid and reliable measuring of technological literacy. The method encompasses three main components—knowledge, capabilities, and critical thinking and decision-making. It is centred on the standards for technological literacy issued by the International Technology and Engineering Educators Association. It has three key features. (1) A construct-measure-result front-ended approach, where a construct consists of an object, attribute, and entity; which causes reduction of measure-induced distortion and error. (2) A broad test range definition that provides stable and accurate measuring of technological literacy for 6–18-year-old students. (3) A genuine design approach including a multiple choice test item form determination consisting of content, criterion and construct validity, item discrimination, difficulty index, and an intraclass correlation measure for time stability and scooping its heterogeneous nature. Only the method is described herein and its pilot test results are presented. It is moderately reliable over time (intraclass correlation coefficient = 0.68, p < 0.05), has high criterion-related validity (r _xy  < 0.4) and construct validity (h ² > 0.7). High content validity evidence was ensured through a two-stage validation method, while test item discrimination coefficient values are acceptable (r _pbis  > 0.1). The method is time-efficient (measuring lasts 45 min), valid, stable, and enables holistic investigation of large sample sizes.     

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.     

New product development process and time-to-market in the generic pharmaceutical industry

Generic pharmaceutical companies tend to improve their market position by being first in the market when a patent on an original product elapses. The time-to-market of new products is an important source of their comparative advantages. In our study we investigate the organizational and managerial factors lying behind time-to-market in four generic pharmaceutical companies in Central and Eastern Europe. Our research also supports some results found in other studies on the lead-time of new product development. However, we find some factors specific to generic pharmaceutical companies. Our findings are incorporated into a diagnostic model of new product development in generic pharmaceutical companies, which is an important practical result of our research.     

The Influence of Workers' Participation on the Power of Management in Transitional Countries: The case of Slovenia

The main aim of our paper is to discuss the influence of the different forms of the workers' participation on the power of management and experts in carrying out the restructuring of the Slovenian firms. The firms with the strongest influence of the management and the experts resulted to be more successful in developing the strategic way of thinking, to have clearer and more defined strategies and goals and to adapt better to the international competition. Our empirical analysis further confirms the hypothesis that the management and experts have a stronger influence in the firms with higher internal ownership, younger management and in those that have successfully implemented the intra-firm bargaining. On the other hand, the management and experts' power is negatively correlated with the percentage of the workers' representatives on the Supervisory Board.     

How to Increase R&D in Transition Economies? Evidence from Slovenia

The recent initiative of the European Union Lisbon Agenda to increase levels of R&D investment is addressed by studying the determinants of R&D investment in one of the recent EU entrants, Slovenia. Previous empirical literature—mainly cross‐sectional in nature—has tested the demand–pull hypothesis and found that overall R&D expenses may be driven by output demand. We use a panel of more than 150 of the largest Slovene firms over the period 1996–2000, modeling firms' R&D behavior within an error‐correction framework and estimating it in a system GMM specification. While we find that sales have a significant role in inducing R&D expenditures, we also show that the availability of internal funds and wage bargaining represent important factors determining R&D expenses. Moreover, firms owned by insiders (workers and/or managers) and/or firms with dispersed ownership (small shareholders) display higher R&D investments than firms owned by privatization investment funds or by other firms.     

Predicting tourists' behavioural intentions at the destination level

Using structural equation modelling, the formative model was tested on a sample of 703 tourists who visited six coastal destinations in Montenegro. It relies on the complex relationships between five constructs – perceived quality of a destination's offerings, tourist satisfaction, perceived equity, perceived benefits and behavioural intentions – simultaneously incorporating the emotional and rational self-regulatory mechanisms. The empirical results supported the hypothesised relationships. The group of eight tourist destination attributes affects perceived quality of a destination's offerings that positively and directly relate to perceived benefits, behavioural intentions and tourist satisfaction, whereas satisfaction is also determined by equity perceptions. Additionally, perceived quality of a destination's offerings also relates indirectly to tourist behavioural intentions, through perceived benefits and tourist satisfaction, while satisfaction also mediates the interaction between perceived equity and tourist intended behaviour. These research results contribute to a deeper understanding of which behavioural processes, and with what strength, lead to the increase in tourist loyalty at the destination level, and ultimately provide better insights into the predictors of behavioural intentions.