Abstract

The article presents a theoretical analysis of the evaluation of the effectiveness of management of innovative development of construction enterprises. The purpose of the article is to conduct a theoretical analysis of approaches to assessing the effectiveness of management of innovative development of construction enterprises in the context of the implementation of the concept of sustainable development. It was noted that the construction sector is characterized by a high level of competition and significant barriers to entering the market. To ensure competitiveness and success, construction companies must implement the latest approaches to the design and execution of construction works, management of construction enterprises. The main ways of achieving construction efficiency have been determined, in particular, the optimization of construction processes, the implementation of lean construction methodology, the development of technological innovations, the expansion of cooperation between interested parties, and the support of sustainable and ecological construction practices. Implementation of these strategies can significantly increase construction productivity, reduce costs, and improve project outcomes. These approaches can also contribute to the long-term stability and viability of the industry by ensuring the rational use of resources, minimizing environmental impact and improving the overall quality of buildings. The main aspects of the evaluation of the effectiveness of the management of the innovative potential of the construction enterprise are considered: economic, organizational, social, technical-technological, ecological, marketing, which have the corresponding indicators and specifics. Separate quantitative and complex indicators for evaluating the organizational effectiveness of innovative development management, as well as indicators that transform qualitative parameters in the digital dimension, are presented. To evaluate the effectiveness of innovative development, it is proposed to use complex indicators that integrate value and quantitative indicators of statistical reporting.

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