Background: The study adapts the corporate entrepreneurship assessment instrument (CEAI), a notable North American psychometric instrument used to evaluate entrepreneurial culture, and investigates its construct validity scale, taking into account that psychometric instruments have limited cross-cultural portability. Objectives: We aim at identifying the perceived internal management key factors in the Romanian entrepreneurial culture (private sector) and applying CEAI to emergent economies. Method: The corporate entrepreneurship assessment instrument uses a 48-item Likert scale questionnaire to collect information from a large sample of employees working in different companies. The questions, seen as random variables, are then factor analysed in order to get a reduced more manageable structure. Factors are finally interpreted with respect to the entrepreneurial propensity of the business sector in study. The software used for statistical analysis was SPSS. Results: The survey conducted on 175 professionals from Romanian technology-based companies yielded a 10-factor structure for this particular business environment: reinforcement and work discretion, dynamic environment and decreased formalisation, delegation, time availability, strategic awareness, management support, stress, vertical communication, horizontal communication and knowledge sharing. Conclusion: The study provides a thorough understanding of the Romanian post-communist corporate culture, and, together with a similar analysis recently performed in South Africa, aims to create a clearer picture of cross-cultural portability of entrepreneurship psychometric instruments.

The Romanian market for plant protection products (PPP) is fragmented, dispersed, and very competitive. In recent years, there has been a constant decrease of farmers’ profitability, which has cascaded into the distribution of pesticides, fertilizers, and seeds. Since the structure of any market is dynamic over time, companies can determine the effectiveness of their different marketing strategies using analytical tools. As an alternative to econometric tools for predicting the market share in the farming industry, we propose the analytic network process (ANP) model, in which the market share is described as a network of nodes and clusters. Domain experts validate the ANP structure with respect to criteria and alternatives. The model allows the quantification of qualitative judgments provided by either experts or customers, through the highest eigenvalues. The eigenvalues are then further aggregated to deliver conclusive scores for the distribution of a particular market among competitors. The purpose of this research is twofold: (1) to develop an ANP-based tool for analyzing the competitive position (market share) of a company and (2) to help companies use the new tool in order to improve their business. The paper is of interest to PPP distributors, PPP manufacturers, customers, and policy-makers. The first two categories of stakeholders can use the analysis to better direct their marketing efforts, the customers can use it to select their providers, and the policy-makers can use it to evaluate and improve the control of PPP.