IDEAS home Printed from https://ideas.repec.org/a/eee/jrpoli/v80y2023ics0301420722006559.html
   My bibliography  Save this article

Achieving sustainable development goal 9: A study of enterprise resource optimization based on artificial intelligence algorithms

Author

Listed:
  • Wang, Zeyu
  • Deng, Yue
  • Zhou, Shouan
  • Wu, Zhongbang

Abstract

Under the rapid economic development trend, exploring the resource optimization strategy of cultural and creative enterprises for sustainable socio-economic development is highly relevant. This study applies the recommendation system to decision-making and resource optimization of entrepreneurial projects for the current situation of complexs entrepreneurial enterprises in the cultural and creative industry (CCI). The neural network algorithm (NNA) is adopted to model project features, user's behavioral and content features. Finally, a recommendation and resource optimization model based on NNA is constructed for CCI-related entrepreneurial projects, and the model is evaluated and analyzed. The results demonstrate that with the increase in the training period, the model's recognition accuracy reaches 81.64%. Besides, the prediction error of the recommender system is minimized when the word vector length is 200, and the number of implied features is 200. Therefore, the entrepreneurial project recommendation and resource optimization model can significantly improve the recognition accuracy and reduce prediction errors, providing experimental references and contributing to the subsequent sustainable development of social economy and entrepreneurial resource optimization.

Suggested Citation

  • Wang, Zeyu & Deng, Yue & Zhou, Shouan & Wu, Zhongbang, 2023. "Achieving sustainable development goal 9: A study of enterprise resource optimization based on artificial intelligence algorithms," Resources Policy, Elsevier, vol. 80(C).
    • Handle: RePEc:eee:jrpoli:v:80:y:2023:i:c:s0301420722006559
    DOI: 10.1016/j.resourpol.2022.103212
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0301420722006559
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.resourpol.2022.103212?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    References listed on IDEAS

    as
    1. Gagan Deep Sharma & Justin Paul & Mrinalini Srivastava & Anshita Yadav & John Mendy & Tapan Sarker & Sanchita Bansal, 2021. "Neuroentrepreneurship: an integrative review and research agenda," Entrepreneurship & Regional Development, Taylor & Francis Journals, vol. 33(9-10), pages 863-893, October.
    2. Chalmers, Dominic & Fisch, Christian & Matthews, Russell & Quinn, William & Recker, Jan, 2022. "Beyond the bubble: Will NFTs and digital proof of ownership empower creative industry entrepreneurs?," Journal of Business Venturing Insights, Elsevier, vol. 17(C).
    3. Taotang Liu & Zhongxin Gao & Honghai Guan & Wei Wang, 2021. "Educational Information System Optimization for Artificial Intelligence Teaching Strategies," Complexity, Hindawi, vol. 2021, pages 1-13, May.
    4. Xueling Li & Xiaoyan Zhang & Yuan Liu & Yuanying Mi & Yong Chen, 2022. "The impact of artificial intelligence on users' entrepreneurial activities," Systems Research and Behavioral Science, Wiley Blackwell, vol. 39(3), pages 597-608, May.
    5. Ricarda B. Bouncken & Sascha Kraus & Norat Roig-Tierno, 2021. "Knowledge- and innovation-based business models for future growth: digitalized business models and portfolio considerations," Review of Managerial Science, Springer, vol. 15(1), pages 1-14, January.
    6. Sharma, Gagan Deep & Tiwari, Aviral Kumar & Jain, Mansi & Yadav, Anshita & Srivastava, Mrinalini, 2021. "COVID-19 and environmental concerns: A rapid review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    7. Gagan Deep Sharma & Burak Erkut & Mansi Jain & Tuğberk Kaya & Mandeep Mahendru & Mrinalini Srivastava & Raminder Singh Uppal & Sanjeet Singh, 2020. "Sailing through the COVID-19 Crisis by Using AI for Financial Market Predictions," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-18, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Huaxing & Li, Tianzi & Zhu, Junfan & Jian, Youting & Wang, Zeyu & Wang, Zengwen, 2023. "China's new environmental protection law: Implications for mineral resource policy, environmental precaution and green finance," Resources Policy, Elsevier, vol. 85(PB).
    2. Yuwei Liu & Shan Qin & Jiamin Li & Ting Jin, 2023. "Artificial Intelligence and Street Space Optimization in Green Cities: New Evidence from China," Sustainability, MDPI, vol. 15(23), pages 1-15, November.
    3. Xiaoya Hu & Huimin Huang & Jun Ruan & Weijia Wang, 2023. "Pollution Reduction, Informatization and Sustainable Urban Development—Evidence from the Smart City Projects in China," Sustainability, MDPI, vol. 15(13), pages 1-15, June.
    4. Fanbao Xie & Xin Guan & Xiaoyan Peng & Yanzhao Zeng & Zeyu Wang & Tianqiao Qin, 2024. "Application of Fuzzy Control and Neural Network Control in the Commercial Development of Sustainable Energy System," Sustainability, MDPI, vol. 16(9), pages 1-22, May.
    5. Wang, Zongrun & Cao, Xuxin & Ren, Xiaohang & Taghizadeh-Hesary, Farhad, 2024. "Can digital transformation affect coal utilization efficiency in China? Evidence from spatial econometric analyses," Resources Policy, Elsevier, vol. 91(C).
    6. Xiaole Wan & Zhengwei Teng & Zhen Zhang & Xiangtong Liu & Zhuoqian Du, 2024. "Equity financing risk assessment based on PLTS-ER approach in marine ranching from the ecological and circular economy perspectives," Annals of Operations Research, Springer, vol. 342(1), pages 875-920, November.
    7. Jun Yang & Fenglong Tan, 2025. "Exploring the progress of global digital economy research: a bibliometric study via R-tool," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 27(3), pages 5447-5477, March.
    8. Run Tang & Xin Guan & Junfan Zhu & Bo Liu & Zeyu Wang & Fanbao Xie, 2023. "Evaluation of Sustainable City and Old-Age Security Policy Intervention in China," Sustainability, MDPI, vol. 15(7), pages 1-15, April.
    9. Gao, Shiya & Guan, Xin & Tang, Run & Zhu, Junfan & Wang, Zeyu & Xu, Wei, 2023. "Resource curse, economic efficiency and green recovery based on three-subject framework," Resources Policy, Elsevier, vol. 85(PB).
    10. Sun, Jingjing & Zhai, Chenchen & Dong, Xiaoqi & Li, Chengming & Wang, Zeyu & Li, Dandan & Sun, Yongping, 2023. "How does digital infrastructure break the resource curse of cities? Evidence from a quasi-natural experiment in China," Resources Policy, Elsevier, vol. 86(PA).
    11. Lin, Weiwen & Qin, Shan & Zhou, Xinzhu & Guan, Xin & Zeng, Yanzhao & Wang, Zeyu & Shen, Yaohan, 2024. "Three-dimensional quantitative mineral prediction from convolutional neural network model in developing intelligent cleaning technology," Resources Policy, Elsevier, vol. 88(C).
    12. Yang, Ya & Zhou, Mengru & Hou, Yawei & Tang, Run & Liu, Bo & Deng, Yue, 2023. "Examining the impacts of implicit economic policy on urban environmental pollution: Unveiling pathways for sustainable recovery," Resources Policy, Elsevier, vol. 85(PA).
    13. Gao, Yajuan & Zhang, Congqing & Wang, Yilin & Wang, Shuaihao & Zou, Yunjin & Gao, Junhong & Wang, Zeyu, 2023. "Fiscal decentralization and rural resource utilization efficiency: Evidence from quasi-natural experiment in China," Resources Policy, Elsevier, vol. 87(PB).
    14. Liu, Fangkun & Liu, Gaoxiang & Wang, Xiaohong & Feng, Yanchao, 2024. "Whether the construction of digital government alleviate resource curse? Empirical evidence from Chinese cities," Resources Policy, Elsevier, vol. 90(C).
    15. Shuhui Yu & Xin Guan & Junfan Zhu & Zeyu Wang & Youting Jian & Weijia Wang & Ya Yang, 2023. "Artificial Intelligence and Urban Green Space Facilities Optimization Using the LSTM Model: Evidence from China," Sustainability, MDPI, vol. 15(11), pages 1-14, June.
    16. Yaxuan Zhao, 2024. "Development of big data assisted effective enterprise resource planning framework for smart human resource management," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-28, May.
    17. Zhang, Jingshen & Zhou, Xinzhu & Bai, Rong & Dong, Haoyang & Tang, Tingting & Wang, Zeyu & Yang, Ya & Huang, Feng, 2024. "Impact of environmental supervision reform on green innovation in mineral enterprises," Resources Policy, Elsevier, vol. 88(C).
    18. Fanbao Xie & Xin Guan & Xiaoyan Peng & Caimeng Wang & Yanzhao Zeng & Zeyu Wang & Rong Bai, 2024. "Exploration of the Deep Impact of Digital Platforms on Innovation and Entrepreneurship Activities of Entrepreneurs under the Information Management Framework," Sustainability, MDPI, vol. 16(10), pages 1-19, May.
    19. Jin, Ting & Liang, Feiyan & Dong, Xiaoqi & Cao, Xiaojuan, 2023. "Research on land resource management integrated with support vector machine —Based on the perspective of green innovation," Resources Policy, Elsevier, vol. 86(PB).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Li, Sen & Chen, Yan, 2024. "Governing decentralized autonomous organizations as digital commons," Journal of Business Venturing Insights, Elsevier, vol. 21(C).
    2. Patrick Nicolas Tinguely & Yash Raj Shrestha, 2024. "NFT-enabled organization design: prospects, promises and hurdles," Journal of Organization Design, Springer;Organizational Design Community, vol. 13(1), pages 23-31, March.
    3. Sascha Kraus & Paul Jones & Norbert Kailer & Alexandra Weinmann & Nuria Chaparro-Banegas & Norat Roig-Tierno, 2021. "Digital Transformation: An Overview of the Current State of the Art of Research," SAGE Open, , vol. 11(3), pages 21582440211, September.
    4. Ana Batlles-delaFuente & Luis Jesús Belmonte-Ureña & José Antonio Plaza-Úbeda & Emilio Abad-Segura, 2021. "Sustainable Business Model in the Product-Service System: Analysis of Global Research and Associated EU Legislation," IJERPH, MDPI, vol. 18(19), pages 1-33, September.
    5. Ancillai, Chiara & Sabatini, Andrea & Gatti, Marco & Perna, Andrea, 2023. "Digital technology and business model innovation: A systematic literature review and future research agenda," Technological Forecasting and Social Change, Elsevier, vol. 188(C).
    6. Esther Calderon-Monge & Domingo Ribeiro-Soriano, 2024. "The role of digitalization in business and management: a systematic literature review," Review of Managerial Science, Springer, vol. 18(2), pages 449-491, February.
    7. Junru Chen & Lei Shen, 2024. "A Synthetic Review on Enterprise Digital Transformation: A Bibliometric Analysis," Sustainability, MDPI, vol. 16(5), pages 1-20, February.
    8. Kristina Stoiber & Kurt Matzler & Julia Hautz, 2023. "Ambidextrous structures paving the way for disruptive business models: a conceptual framework," Review of Managerial Science, Springer, vol. 17(4), pages 1439-1485, May.
    9. Johannes Hofmeister & Dominik K. Kanbach & Jens Hogreve, 2024. "Measuring and managing service productivity: a meta-analysis," Review of Managerial Science, Springer, vol. 18(3), pages 739-775, March.
    10. Talan, Amogh & Rao, Amar & Sharma, Gagan Deep & Apostu, Simona-Andreea & Abbas, Shujaat, 2023. "Transition towards clean energy consumption in G7: Can financial sector, ICT and democracy help?," Resources Policy, Elsevier, vol. 82(C).
    11. Alberto Michele Felicetti & Vincenzo Corvello & Salvatore Ammirato, 2024. "Digital innovation in entrepreneurial firms: a systematic literature review," Review of Managerial Science, Springer, vol. 18(2), pages 315-362, February.
    12. Anca Elena Lungu & Mircea Radu Georgescu & Daniel Juravle, 2024. "A Bibliometric Analysis of Digital Entrepreneurship," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 15(4), pages 18617-18645, December.
    13. Marie-Anne Le-Dain & Lamiae Benhayoun & Judy Matthews & Marine Liard, 2023. "Barriers and opportunities of digital servitization for SMEs: the effect of smart Product-Service System business models," Service Business, Springer;Pan-Pacific Business Association, vol. 17(1), pages 359-393, March.
    14. Mihaela Brindusa Tudose & Amalia Georgescu & Silvia Avasilcăi, 2023. "Global Analysis Regarding the Impact of Digital Transformation on Macroeconomic Outcomes," Sustainability, MDPI, vol. 15(5), pages 1-21, March.
    15. Lange, Francie & Tomini, Nino & Brinkmann, Florian & Kanbach, Dominik K. & Kraus, Sascha, 2023. "Demystifying massive and rapid business scaling – An explorative study on driving factors in digital start-ups," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    16. Gala, Kaushik, 2024. "Digital Davids, global Goliaths, and the Web3 sling," Business Horizons, Elsevier, vol. 67(1), pages 5-17.
    17. Roxana Mare & Codruța Mare & Adriana Hadarean & Anca Hotupan & Tania Rus, 2023. "COVID-19 and Water Variables: Review and Scientometric Analysis," IJERPH, MDPI, vol. 20(2), pages 1-29, January.
    18. Mayank Joshipura & Rim El Khoury & Muneer M. Alshater, 2025. "ICOs conceptual unveiled: scholarly review of an entrepreneurial finance innovation," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 11(1), pages 1-47, December.
    19. Natanya Meyer & Foued Ben Said & Nasser Alhamar Alkathiri & Mohammad Soliman, 2023. "A scientometric analysis of entrepreneurial and the digital economy scholarship: state of the art and an agenda for future research," Journal of Innovation and Entrepreneurship, Springer, vol. 12(1), pages 1-26, December.
    20. Tao, Hu & Zhuang, Shan & Xue, Rui & Cao, Wei & Tian, Jinfang & Shan, Yuli, 2022. "Environmental Finance: An Interdisciplinary Review," Technological Forecasting and Social Change, Elsevier, vol. 179(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jrpoli:v:80:y:2023:i:c:s0301420722006559. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/30467 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.