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Consumer citizenship behavior is widely considered to be vital to business success. However, the role of resource uniqueness and service quality in encouraging citizenship behavior in tourism settings has not been well understood. Grounded on a framework integrating the Stimulus-Organism-Response Model and Social Exchange Theory, this study examines whether tourism resource uniqueness and service quality affect tourists' citizenship behaviors (i.e., word-of-mouth recommendations and providing feedback) through the mediating effect of tourist emotion (i.e., positive and negative emotions). A total of 321 samples collected from three types of scenic spots in China were analyzed using structural equation modeling and Bootstrapping procedures. Results suggest that both tourism resource uniqueness and service quality positively predict positive emotion and negatively influence negative emotion, which is further positively and negatively associated with word-of-mouth recommendation and providing feedback, respectively. Moreover, both positive emotion and negative emotion mediate the effects of tourism resource uniqueness and service quality on tourists' citizenship behaviors. Findings provide evidence that both resource uniqueness and service quality are critical to understand tourists' citizenship behavior, and offer important marketing implications for destinations to manage tourist emotional experiences. [ABSTRACT FROM AUTHOR]

Background: Workplace safety violation is a significant challenge for global enterprises. However, prior studies have generated inconsistent findings, which calls for a holistic framework to reveal the complex causality between antecedent conditions and workplace safety violations in high-risk industries., Objective: By embracing deterrence theory and social learning theory, this study aimed to examine how punishment (i.e., perceived punishment certainty and perceived punishment severity), shame (i.e., perceived shame certainty and perceived shame severity) and coworker safety violations (CSV) combine into configurational causes of employee safety violations (ESV)., Methods: A two-wave sampling approach was used to obtain 370 usable samples from various high-risk industries in China. The confirmatory factor analysis was performed to test construct validity, and an emerging fuzzy set qualitative comparative analysis (fsQCA) was conducted to explore the complex causality between ESV and its multiple antecedents., Results: The fsQCA results indicate that no single antecedent condition is necessary for predicting high ESV, but three distinct configurations of multiple antecedents equivalently lead to high ESV. Among all configurations, a lack of perceived punishment severity, a lack of perceived shame certainty and severity, and high CSV play important roles in explaining ESV., Conclusions: This study represents a pioneering endeavor utilizing fsQCA to explore how different combinations of punishment, shame and social learning antecedents contribute to high ESV, which goes beyond previous research focusing on antecedents independently and offers new insights into interconnected antecedents of ESV and their complex causality.

This study aims to explore and refine the teaching aspects of a flipped classroom approach for biological reaction engineering. The study encompasses three iterations of teaching practice, focusing on key elements such as theme content selection, implementation process, evaluation and effectiveness. By integrating relevant industry and societal topics with course's professional knowledge, students are encouraged to independently collect data, analyze and discuss findings, and present their work in group. Comprehensive literacy of students is assessed through discussion reports, defense reports, utilization of new tools, and team cooperation. Analysis of student performance reveals that the design and implementation of the flipped classroom approach significantly enhances student motivation to learn, improves scores, and supports the achievement of course objectives. Therefore, the methodology presented in this study may serve as a reference for implementing teaching reforms in core courses in applied undergraduate colleges, thereby fostering well-round individuals with strong theoretical foundation, innovative analytical skills, and excellent teamwork abilities.

According to the teaching philosophy of the outcome-based education, this study elaborates the development of a practical innovation course for biological engineering major after five runs of teaching practice and continuous improvement. It mainly includes the methods for selection of teaching subjects, implementation of teaching process, process assessment, evaluation and improvement. Based on the performance and achievements of three grades of students majored in bioengineering, we found that the logic and methods of the practical innovation course could greatly stimulate the motivation of students for learning, as well as their scores. Therefore, the logic and methods described in this study may serve as a reference for the reforms of practical training courses of engineering major under the background of Engineering Education Certification.

Accurately understanding the features and connotations of complex engineering problems is an important prerequisite for setting graduation requirements, constructing curriculum and designing teaching contents. By discussing the characteristics of complex engineering problems in the biological industry, this paper explored the demands for undergraduates in Yangtze river delta region, summarized the typical jobs and their requirements, and expounded the connotation of complex engineering problems contained in various typical tasks. On this basis, a gradual curriculum system was constructed, which included multiple stages of conceiving, formation and application, to cultivate the ability to solve complex engineering problems in the major of bioengineering. The curriculum coordinated the implementation of deep integration of industry and education, research feed back course construction, course team and advanced courses building up, professional associations covered all crews and students, supporting the ability training of solving complex engineering problems.

This paper investigates the permutation flowshop scheduling problem (PFSP) with the objectives of minimizing the makespan and the total flowtime and proposes a hybrid metaheuristic based on the particle swarm optimization (PSO). To enhance the exploration ability of the hybrid metaheuristic, a simulated annealing hybrid with a stochastic variable neighborhood search is incorporated. To improve the search diversification of the hybrid metaheuristic, a solution replacement strategy based on the pathrelinking is presented to replace the particles that have been trapped in local optimum. Computational results on benchmark instances show that the proposed PSO-based hybrid metaheuristic is competitive with other powerful metaheuristics in the literature.