If we could know what is in the mind of consumers, we would know what to offer them with a minimum consumption of resources and maximum profitability; but because we do not know these aspects, related to the clients’ desires, their needs, which are changing continuously, then organizations can implement certain models that can help organizations to measure value, the value required to invest in this relationship and to know which are the most valuable and loyal consumers. This is necessary to provide them with information, in order to offer discounts, deals and new products and services, in order to attract new clients and retain existing ones. Thus, in our article we intend to analyze the clients’ typology, to analyze the process of communication and relationship with them in order to determine their value. At the same time, we aim to present the importance of certain models used by specialists in order to attract, retain and develop these relationships with current and prospective clients.

Procurement management is a function for B2B market and a complex concept based on a continuous buying cycle and supposes: determining the need, taking the decision of buying, identification of sources, selecting and choosing the right suppliers, contracting, and maintaining the relationships with the future contractors. Supplier selection is a challenging task along supply chain and is based on some important criteria in order to choose the right supplier and maintain with it a long and prosper relationship. In order to select the right supplier, the buyer may use quantitative and qualitative methods. In this article we present the importance of supplier selection along supply chain and the used criteria to do this. We also present a supplier selection method based on mathematical models, especially on regression function and time series analysis, in order to show that they bring important benefits for the companies which used them.

The objective of this study is to analyze the trends in agriculture and the factors affecting the output of agriculture (OA) in the EU and Romania in the context of green economy. The research used the quantitative (mathematical regression function, correlation matrix, and R-squared) and qualitative (the SWOT matrix of the agriculture sector in Romania) methods. The data on Romanian agriculture were gathered from Eurostat for the period of 2006–2019. The results showed that there is a direct and positive relationship between the OA and its influencing factors. Moreover, it revealed the negative relationships between the employees in agriculture (−0.58), air pollutants (−0.49), agriculture land (−0.42), irrigation norm (−0.39), agriculture training (−0.33) and the OA, and positive relationships between the area under organic farming (0.56), the average area per holding (0.56), the number of tractors (0.53) and the OA. Romania is a country where employment and agriculture areas are greater than in other EU countries; however, the results of our research highlight the significance of a careful analysis of the influencing factors, of making the difference between the thin line of sustainable performance, of developing new measures, of reducing risks, and of gaining new knowledge and agricultural skills, as an important activity, especially for Romania.

We are in the fifth era of marketing development, that of relationship marketing, where the environment is influenced by globalization, informatization, market liberalization, and the overcapacity of production, and the focus will be not on increasing the volume of production, but on obtaining profit using relationship with profitable customers. Customer-centricity, customization, one-to-one relationship and measuring the value of each customer is an advantage in the fearless market. Organizations if they knew what customers wants would offering only those products or services they want, but to help them to know the customers’ needs better, they use models, new methods and calculation of performance indicators. One of the models which help organizations to determine the customer value and centricity is Net Promoter Score (NPS), its formula being developed by Reichheld F. in 2006. Our research is made on 10 organizations and on 150 respondents and is consisting in using NPS in order to observe customers’ perception of the analysed brands, to measure how well the brand is having satisfayed and loyal customers, and the desire for recommendation of the analysed brand. Our article is using simulation, modeling and IT programs to observe possible relationships and future trends.

Today’s business environment is governed by changes and challenges, such as the Internet which is also changing our personal and professional lives, our way of thinking, of acting, as well as our daily activities. By using new technologies and the Internet, any company can do business in any corner of the world, and with the help of e-skills any person can relate with anyone, anywhere, and anytime. Moreover, the world is at our fingertips, opening new opportunities and visions. The purpose of this paper is to analyze the relationship between the e-skills and e-activities. Furthermore, the differences between e-skill and e-activity values recorded for Romania, at the EU28 level, and the values for the best-in-class group are analyzed. Through the use of benchmarking, we show that this gap exists, and thus some improvement measures are proposed. Thus, the correlation among three proposed zones (Romania, the average for EU28, and the best-in-class group) is analyzed with the help of simulation and mathematical modeling. The Excel data analysis shows that the correlation and future trends that could take place at the European level, helps the specialists improve skills, overcome risks, make better decisions, reduce costs, and increase performance.