• Pop, Al. -N.
Under the conditions imposed by the knowledge society, in order to start a strategy with real chances of success in product and service innovation, it has become increasingly clear the need for companies to participate in networks, alliances and collaborations to reduce the rising costs of technology transfer. There are different types of RDI agreements that companies can make directly with R&D institutes, universities, other organizations, public-private partnerships, which may be different depending on the financial contribution of each party, the type of protection assumed, etc. In recent decades, business clusters have been seen as a strategic tool that allows companies to be competitive internationally. The concept of cluster has a long history, during which it was given several names: "competitiveness pole", "industrial agglomeration", "industrial district", etc. The researches carried out so far have highlighted the fact that in Romania crystallized emerging clusters in fields such as software production, naval industry, wood industry, textile industry, ceramics industry. Most cluster agglomerations are located in the counties of Timis, Arad and Cluj. The development of business clusters makes it easier and more direct to disseminate information or access companies to organizations, institutions and research institutes. Business clusters promote innovation. Firms have easier access to specialized personnel and a greater bargaining power both to suppliers (costs) and to competing firms (increasing quality). The introduction of new technologies in the connection of business leads to a more efficient organization, to the reduction of production costs, to the increase of flexibility and the level of service. The performance of the organization is associated with competitive success. Professionally trained human resources are the key factor in improving and increasing competitiveness within clusters, but it can be seen that within these networks of organizations grouped in clusters are open to have qualified human resources, professionally trained providing an optimal framework for performance to improve the competitive advantage of organizations. The new trend considers cluster management as a degree of excellence in relation to the way it responds to the needs and expectations of customers and their members. This means providing human resource development facilities, with important support for knowledge management and the provision of high-level services. In order to achieve excellence in cluster management, we must take into account the complexity of the processes, the diversity of resources used and the demands of the market. Ensuring excellence in the field of cluster management requires their approach through a systematic process, taking into account that the product is the result of the joint effort of its members in relation to market requirements. Investing in human capital is important for the success of any organization, because it requires a well-trained, well-paid, involved workforce with great potential. The chances of success are measured in the quality of education that everyone has and the interest in the future training of human resources. The investment in human capital, respectively in education, training and health, aims at the professional-scientific training of human resources and the adaptation to the structural changes of the economy imposed by the technical-scientific progress, having as criterion the efficiency. The culture of cooperation, partnership in the field of vocational education and training stimulates the amplification of the access to the labor market in a framework of equal opportunities and recognition of professional qualifications. Developing human capital, increasing competitiveness in the labor market, by connecting education and lifelong learning with the labor market and ensuring active participation. The general objective of the research focuses on analyzing the existing links between specialized human capital, the study and evaluation of investment factors in human capital within industrial clusters, in the context of increasing competitiveness in the North-West development region of Romania. This requires deepening the study of the impact that the development of human resources has on obtaining high performances within the clusters in Romania, but also on the influence of the cluster relations on the human capital within them. The factors influencing the development of human resources within clusters will have to be correlated with performance based on additional quantitative information, which influences the efficiency of human capital, a multivariate analysis of human capacity, resources, competitive advantage and the relationship between them. In order to be able to perform an analysis of cluster development factors in terms of human capital, it was considered the most relevant to apply a questionnaire, in order to perform qualitative analysis, in the North-West development region of Romania, taking into account the definition of the problem. , planning the research project, formulating the hypotheses, reviewing the specialized literature, elaborating the items of the questionnaire, building the questionnaire, pretesting the questionnaire, administering the questionnaire to the target group. Based on the dimensions presented above, a model has been developed for the analysis of human capital factors, which ensures the development of cluster performance. Thus, the extracted qualitative and quantitative data will be analyzed with SPSS 20.00 statistical data analysis programs, thus generating statistical and mathematical tests, which conclude the support of the hypotheses launched or their invalidity, regarding the existence of the situation in the region of NV development of Romania. The evaluation of the efficiency of the model, in relation to the research objective, is based on the concept of validity, which will be analyzed under the fundamental aspects of the internal, external and statistical validity of the research. The dependent variable depends on the values of the independent variables, the analysis of the increase of competitiveness, which measures the evolution of the organization's competitiveness, following the investment in human capital, of the performance at the level of the analyzed clusters. Thus, this variable will be analyzed in terms of their results, which refer to areas of performance, relationships within clusters, all leading to efficient / inefficient approach to these practices. The evaluation of the dependent variables is performed by applying the Likert scale, with values between 1 and 5, variables that are found in the questionnaire developed by the questions launched, in order to form an overview and the current situation. In the activity of predicting the evolution of the factors of increasing the efficiency of human capital, with the help of models based on econometric methods, we start from the hypothesis according to which the investment in human capital will continue to have, in a predictable period of time, an increasing trend with the involvement of organizations, cluster members and related to the national and European legislative framework in force. In order to be relevant in establishing the development strategy of the organization, the analysis of the implementation of knowledge management subject to analysis must be compared with the dynamics of the market, the sector of activity and its performance. If the market is more dynamic than the company, it will be noticed that the company will have a certain gap in terms of existing competition in the market. Industrial clusters are one of the most important strategies for the sustainable development of organizations, and specialized human resources are the key factor in setting it up and optimizing competitiveness.
SGEM Research areas:
Type of Publication:
In Proceedings
human capital efficiency; development; competitiveness
SGEM Book title:
7th SWS International Scientific Conference on Social Sciences ISCSS 2020
Book number:
SGEM Series:
SWS International Scientific Conferences on SOCIAL SCIENCES - ISCSS
Publisher address:
51 Al. Malinov blvd, Sofia, 1712, Bulgaria
SGEM supporters:
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci & Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts & Letters; Acad Fine Arts Zagreb Croatia; C
25-27 August, 2020
7th SWS International Scientific Conference on Social Sciences ISCSS 2020, 25-27 August, 2020
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