Towards Entrepreneurial Campus Sustainability: Integrating Artificial Intelligence for Resource Allocation in Business Management

Juanda Juanda; Reza Juang Riansyah; Arsadi Arsadi; Laurens Bethany

doi:10.34306/att.v6i3.410

Authors

Juanda Juanda STIE PPI https://orcid.org/0009-0007-6491-7722
Reza Juang Riansyah Politeknik Negeri Lampung https://orcid.org/0009-0006-8567-9594
Arsadi Arsadi STIE PPI https://orcid.org/0009-0008-9038-9211
Laurens Bethany Ilearning Incorporation https://orcid.org/0009-0009-5113-0108

DOI:

https://doi.org/10.34306/att.v6i3.410

Keywords:

Entrepreneurial Campus, Management, Artificial Intelligence, Resources

Abstract

This research delves into the utilization of artificial intelligence (AI) within the framework of campus resource allocation, with a primary focus on enhancing business management practices and fostering entrepreneurial sustainability within educational institutions. Through an innovative amalgamation of AI technology and SmartPLS methodology, the study constructs a comprehensive analytical framework aimed at tackling the multifaceted challenges inherent in resource allocation within campus environments. The findings underscore the transformative potential of AI integration in optimizing resource utilization, identifying efficiency gains, and nurturing entrepreneurial endeavors. This paper distinguishes itself from existing studies by presenting a novel approach that emphasizes the unique contributions of AI-driven solutions in both methodological innovation and practical application. By harnessing SmartPLS alongside AI, the research facilitates more accurate resource demand forecasting and enables adaptive decision-making processes, thereby contributing to the Sustainable Development Goals (SDGs), particularly in promoting quality education and sustainable management practices. The study also provides a detailed technical implementation of AI algorithms, offering valuable insights into their development and application within campus settings. The broader implications for the educational sector are explored, considering the scalability and adaptability of the proposed solutions in various educational contexts. Furthermore, the research contributes to theoretical advancements by pioneering the integration of AI and SmartPLS in campus management research, offering a fresh perspective on economic, environmental, and social impact assessments of AI-driven solutions.

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