Article: The innovation of deep learning-based entrepreneurship capabilities of green tourism students under the Internet of Things Journal: International Journal of Innovation and Sustainable Development (IJISD) 2026 Vol.20 No.8 pp.42 - 64 Abstract: This work intends to enhance the energy-related innovation and entrepreneurship capabilities of Green Tourism major students by leveraging Internet of Things (IoT) technology and deep learning models. As the global tourism industry transitions toward low-carbon development, students need traditional management skills and competencies in scenic area energy management, energy-saving solution design, and the construction of green business models. This work proposes a personalised education-based innovation and entrepreneurship training model, integrating real-time energy consumption data collected via IoT with student learning behaviour data to provide targeted green cultivation strategies for diverse learners. These results indicate that the model effectively strengthens students' capacity to address energy challenges and design sustainable development solutions, holding significant implications for the education of Green Tourism major students. Inderscience Publishers - linking academia, business and industry through research

Title: The innovation of deep learning-based entrepreneurship capabilities of green tourism students under the Internet of Things

Authors: He Wang; Chunyun Wang

Addresses: School of Innovation and Entrepreneurship, The Tourism College of Changchun University, Changchun, 130000, China; School of Economics and Management, Jilin Agricultural University, Changchun, 130000, China ' Business School, National University of Mongolia, Ulaan Baatar, 14201, Mongolia; School of Tourism Culture, The Tourism College of Changchun University, Changchun, 130607, China

Abstract: This work intends to enhance the energy-related innovation and entrepreneurship capabilities of Green Tourism major students by leveraging Internet of Things (IoT) technology and deep learning models. As the global tourism industry transitions toward low-carbon development, students need traditional management skills and competencies in scenic area energy management, energy-saving solution design, and the construction of green business models. This work proposes a personalised education-based innovation and entrepreneurship training model, integrating real-time energy consumption data collected via IoT with student learning behaviour data to provide targeted green cultivation strategies for diverse learners. These results indicate that the model effectively strengthens students' capacity to address energy challenges and design sustainable development solutions, holding significant implications for the education of Green Tourism major students.

Keywords: Internet of Things technology; deep learning models; innovation and entrepreneurship capability development; green tourism major students; personalised education.

DOI: 10.1504/IJISD.2026.155829

International Journal of Innovation and Sustainable Development, 2026 Vol.20 No.8, pp.42 - 64

Received: 17 Dec 2025
Accepted: 01 Mar 2026
Published online: 24 Aug 2026 *

Title: The innovation of deep learning-based entrepreneurship capabilities of green tourism students under the Internet of Things

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