Entrepreneurial activities of college students have received unprecedented attention under the “mass entrepreneurship and innovation” program. This program encourages individuals to start their own businesses and stimulate the entrepreneurial spirit and innovative genes of the nation. Sustainable entrepreneurship is a new form of entrepreneurship that plays an important role in addressing the employment problems of college students, promoting sustainable social and economic development, and alleviating China’s environmental problems. Based on the platform of the China College Students’ “Internet Plus” Innovation and Entrepreneurship Competition (CSIPC) organized by the Ministry of Education of People’s Republic of China, we investigated the specific paths of personality trait influence on sustainable entrepreneurial intention of college students with entrepreneurial alertness and opportunity recognition as mediating variables. We conducted an empirical analysis based on 316 data collected from CSIPC participants. Results of data analysis show that personality traits had a significantly effect on sustainable entrepreneurial intention of college students, and entrepreneurial alertness and opportunity recognition played a mediating role between personality traits and sustainable entrepreneurial intention of college students. This study contributes to research on sustainable entrepreneurship and the practices of colleges to foster sustainable entrepreneurs.

We address a multi-skill project scheduling problem for IT product development in this article. The goal is for product development managers to be able to generate an initial schedule at an early stage of development activities. Due to the complexity of the product structure and functionality, an IT product development effort is divided into multiple projects. Each project includes several tasks, and each task must be completed by an employee who has mastered a certain skill to complete it. A pool of multi-skilled employees is available, and the employees’ skill efficiencies are influenced by both learning and forgetting phenomena. Based on the real-world demands of product development managers, three objectives are simultaneously considered: skill efficiency gain, product development cycle time and costs. To solve this problem, we propose a multi-objective non-linear mixed integer programming model. The Non-dominated Sorting Genetic Algorithm II (NSGA-II)is designed to generate an approximation to the optimal Pareto front of this NP-hard multi-objective optimisation problem. The algorithm produces feasible schedules for all the development projects using the serial schedule generation scheme. We adopt penalty values and individual employee adjustments to address resource conflicts and constraint violations. A weighted ideal point method is used to select the final solution from the approximate Pareto solution set. An application case of a new electrical energy saving product implementation in a leading electrical device company in China is used to illustrate the proposed model and algorithm.