New Energy-Driven Construction Industry: Digital Green Innovation Investment Project Selection of Photovoltaic Building Materials Enterprises Using an Integrated Fuzzy Decision Approach
In the context of carbon peak and carbon neutrality, digital green innovation development is becoming more and more important for enterprises. In order to effectively improve green competitiveness and increase profits, photovoltaic building materials enterprises must choose digital green innovation...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-12-01
|
| Series: | Systems |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-8954/11/1/11 |
| _version_ | 1797436734936449024 |
|---|---|
| author | Tong Dong Shi Yin Nan Zhang |
| author_facet | Tong Dong Shi Yin Nan Zhang |
| author_sort | Tong Dong |
| collection | DOAJ |
| description | In the context of carbon peak and carbon neutrality, digital green innovation development is becoming more and more important for enterprises. In order to effectively improve green competitiveness and increase profits, photovoltaic building materials enterprises must choose digital green innovation projects for investment. The purpose of this study is to build a reasonable investment project selection framework system and propose appropriate methods for photovoltaic building materials enterprises to help them correctly choose digital green innovation investment projects. This study firstly combines relevant theories and digital green innovation characteristics of target investment projects to build a framework system for photovoltaic building materials enterprises to select investment projects. Secondly, this study innovatively proposes a dynamic intuitionistic fuzzy multi-attribute group decision-making method considering the interaction between attributes. Finally, this study takes Yingli Group as the research object and conducts an empirical study on it to verify the scientific nature and reliability of the framework system and method selection. The results show that the framework system includes four aspects: external support system, commercialization expectation, project operation ability and project operation resources. Yingli Group should choose project <i>A</i><sub>3</sub> for cooperation. The framework system and method proposed in this study are feasible and can help Yingli Group correctly choose digital green innovation investment projects. At the same time, this study also brings positive enlightenment to other photovoltaic building materials enterprises in the world when choosing digital green innovation investment projects. |
| first_indexed | 2024-03-09T11:06:50Z |
| format | Article |
| id | doaj.art-2d578409a5684d0e91582ef689628ba0 |
| institution | Directory Open Access Journal |
| issn | 2079-8954 |
| language | English |
| last_indexed | 2024-03-09T11:06:50Z |
| publishDate | 2022-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Systems |
| spelling | doaj.art-2d578409a5684d0e91582ef689628ba02023-12-01T00:54:20ZengMDPI AGSystems2079-89542022-12-011111110.3390/systems11010011New Energy-Driven Construction Industry: Digital Green Innovation Investment Project Selection of Photovoltaic Building Materials Enterprises Using an Integrated Fuzzy Decision ApproachTong Dong0Shi Yin1Nan Zhang2College of Economics and Management, Hebei Agricultural University, Baoding 071001, ChinaCollege of Economics and Management, Hebei Agricultural University, Baoding 071001, ChinaSchool of Marxism, Hebei Agricultural University, Baoding 071001, ChinaIn the context of carbon peak and carbon neutrality, digital green innovation development is becoming more and more important for enterprises. In order to effectively improve green competitiveness and increase profits, photovoltaic building materials enterprises must choose digital green innovation projects for investment. The purpose of this study is to build a reasonable investment project selection framework system and propose appropriate methods for photovoltaic building materials enterprises to help them correctly choose digital green innovation investment projects. This study firstly combines relevant theories and digital green innovation characteristics of target investment projects to build a framework system for photovoltaic building materials enterprises to select investment projects. Secondly, this study innovatively proposes a dynamic intuitionistic fuzzy multi-attribute group decision-making method considering the interaction between attributes. Finally, this study takes Yingli Group as the research object and conducts an empirical study on it to verify the scientific nature and reliability of the framework system and method selection. The results show that the framework system includes four aspects: external support system, commercialization expectation, project operation ability and project operation resources. Yingli Group should choose project <i>A</i><sub>3</sub> for cooperation. The framework system and method proposed in this study are feasible and can help Yingli Group correctly choose digital green innovation investment projects. At the same time, this study also brings positive enlightenment to other photovoltaic building materials enterprises in the world when choosing digital green innovation investment projects.https://www.mdpi.com/2079-8954/11/1/11photovoltaic building materialsdigital green innovationselection of investment projects |
| spellingShingle | Tong Dong Shi Yin Nan Zhang New Energy-Driven Construction Industry: Digital Green Innovation Investment Project Selection of Photovoltaic Building Materials Enterprises Using an Integrated Fuzzy Decision Approach Systems photovoltaic building materials digital green innovation selection of investment projects |
| title | New Energy-Driven Construction Industry: Digital Green Innovation Investment Project Selection of Photovoltaic Building Materials Enterprises Using an Integrated Fuzzy Decision Approach |
| title_full | New Energy-Driven Construction Industry: Digital Green Innovation Investment Project Selection of Photovoltaic Building Materials Enterprises Using an Integrated Fuzzy Decision Approach |
| title_fullStr | New Energy-Driven Construction Industry: Digital Green Innovation Investment Project Selection of Photovoltaic Building Materials Enterprises Using an Integrated Fuzzy Decision Approach |
| title_full_unstemmed | New Energy-Driven Construction Industry: Digital Green Innovation Investment Project Selection of Photovoltaic Building Materials Enterprises Using an Integrated Fuzzy Decision Approach |
| title_short | New Energy-Driven Construction Industry: Digital Green Innovation Investment Project Selection of Photovoltaic Building Materials Enterprises Using an Integrated Fuzzy Decision Approach |
| title_sort | new energy driven construction industry digital green innovation investment project selection of photovoltaic building materials enterprises using an integrated fuzzy decision approach |
| topic | photovoltaic building materials digital green innovation selection of investment projects |
| url | https://www.mdpi.com/2079-8954/11/1/11 |
| work_keys_str_mv | AT tongdong newenergydrivenconstructionindustrydigitalgreeninnovationinvestmentprojectselectionofphotovoltaicbuildingmaterialsenterprisesusinganintegratedfuzzydecisionapproach AT shiyin newenergydrivenconstructionindustrydigitalgreeninnovationinvestmentprojectselectionofphotovoltaicbuildingmaterialsenterprisesusinganintegratedfuzzydecisionapproach AT nanzhang newenergydrivenconstructionindustrydigitalgreeninnovationinvestmentprojectselectionofphotovoltaicbuildingmaterialsenterprisesusinganintegratedfuzzydecisionapproach |