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Corporate social innovation is a novel, strategic means for enterprise to establish competitive advantage through collaboration with powerful stakeholders, like governments, where firms are simultaneously able to meet social needs and benefit themselves. There is, however limited empirical research investigating how such collaboration enables the co-creation of innovation between firms and society, particularly in emerging markets. In response, this paper takes corporate universities (CUs), a typical manifestation of corporate social innovation, as an example, and explores whether CUs encourage employees to engage in innovation and pro-environmental behaviors, thereby contributing to their firms and local communities in China. Using quantitative methods, we found that employees’ participation in CU training/education courses significantly affects employees’ innovation and environmentally-friendly behaviors in both work and life, and that it enhances their normative commitment (NC) to organizations. Moreover, this commitment mediates employees’ participation in the university program, in terms of both their innovation and pro-environmental behaviors. The main contribution of this paper is to enrich the innovation literature by suggesting a fresh, co-creation mechanism of social innovation between enterprise and government, while offering valuable first-hand evidence in a non-Western context. Our results allow policy makers and stakeholders to gain an in depth understanding of relevant issues.

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Food tourism is an activity which has grown in popularity. While it encompasses different activities, consuming local cuisine appears to be particularly popular. Yet, there is a lack of research measuring food tourist behavior using advanced social psychology theory. This study used an extended model of goal-directed behavior to understand food tourist desires and intentions to consume local cuisine. Data were collected at six restaurants in the Southeastern USA and 430 responses were obtained. Anticipated positive emotions and self-identity had the strongest influences on desire. Frequency of past behavior had the strongest influence on intentions. Implications are discussed in detail.

Passenger behavior and ship environment are the key factors affecting evacuation efficiency. However, current studies ignore the interior layout of passenger ship cabins and treat the cabins as empty rooms. To investigate the influence of obstacles (e.g., tables and stools) on cabin evacuation, we propose an agent-based social force model for advanced evacuation analysis of passenger ships; this model uses a goal-driven submodel to determine a plan and an extended social force submodel to govern the movement of passengers. The extended social force submodel considers the interaction forces between the passengers, crew, and obstacles and minimises the range of these forces to improve computational efficiency. We drew the following conclusions based on a series of evacuation simulations conducted in this study: (1) the proposed model endows the passenger with the behaviors of bypassing and crossing obstacles, (2) funnel-shaped exits from cabins can improve evacuation efficiency, and (3) as the exit angle increases, the evacuation time also increases. These findings offer ship designers some insight towards increasing the safety of large passenger ships.

Studies have examined tourism shopping in various aspects, but scarce research has specifically focused on impulsive shopping behavior of tourists, which is of particular relevance in the tourism settings. This study addresses this paucity by examining factors influencing impulsive tourist shopping urge and purchase from the aspects of tourist internal attribute, social influence, and product attribute. By examining Chinese long-haul tourists traveled outside Asia, the empirical results suggest that

Whether the supplies of health services and related facilities meet the demand is a critical issue when developing healthy cities. The importance of health services and related facilities in public health promotion has been adequately proved. However, since the community population and resource data are usually available at the scale of an administrative region; it is very difficult to perform further fine-scaled spatial distribution equilibrium evaluation studies. Such kinds of activities are highly expected for precise urban planning and management. Yichang is located in Hubei province, the central part of China, along the Yangzi River. It is leading both of China's smart cities demonstration project and China's healthy cities pilot project. Yichang has defined 1271 community grids for urban management and service, where each grid consists of 200 households generally with its population distribution data routinely updated. The research set the 15-min walking distances of the residents as impedance factors, and the numbers and the types of health service resources as attractiveness factors for accessibility evaluation. The resource ratio, richness and per capita number of various health service resources that can be reached within 15 min from the community grid building is used as spatial distribution equilibrium evaluation indicators. The entropy weight method is used to assign the indicator weight value. The obtained fine-scale evaluation results were analyzed. In this way, a community grid-scale spatial distribution equilibrium evaluation of health service resources in Yichang was performed. The proposed research could be of value for rapid and precise evaluation of spatial distribution equilibrium evaluation of a variety of healthy city resources, to support healthy city planning and management.