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This study aims to investigate the different effects of physical and social servicescapes on brand love for internet-famous restaurants, focusing on their pathways and strengths of influence.

Structural equation modeling was applied to analyze data from 387 online questionnaires in China.

Results indicate that social servicescape directly influences brand love for internet-famous restaurants, while physical servicescape does not. The effect of physical servicescape on brand love for internet-famous restaurants is mediated by perceived coolness and perceived enjoyment, whereas social servicescape’s influence is mediated solely by perceived enjoyment. Overall, physical servicescape has a stronger impact on brand love for internet-famous restaurants compared to social servicescape.

The findings help internet-famous restaurants create effective physical and social servicescapes to enhance brand love, underscoring that physical servicescape is more crucial than social servicescape for cultivating this love.

This study contributes to the literature by analyzing the heterogeneous pathways and strengths of physical and social servicescapes influencing brand love for internet-famous restaurants, while highlighting the mediating role of perceived coolness and expanding the application scope of cognitive appraisal theory.

An increasing number of restaurants are building mobile instant messaging-based online restaurant communities to enhance connections with customers, but the mechanisms of customers’ behavioral intentions toward these communities remain unclear. To address this gap, this study aims to investigate the factors affecting customers’ acceptance of mobile instant messaging-based online restaurant communities from the perspectives of social support theory and technology acceptance model.

Partial least squares structural equation modeling was used to analyze data collected from 360 customers.

The results indicate that informational support and social presence influence perceived ease of use and usefulness. By contrast, emotional support significantly affects only perceived usefulness. Additionally, perceived ease of use and usefulness can positively predict customer attitudes and foster behavioral intentions.

This research broadens existing research on online restaurant communities by constructing an integrated model that considers social support-related and technology use-related factors to understand consumers’ participation in a new type of restaurant community, namely, the mobile instant messaging-based online restaurant community. The findings also offer guidance on how restaurants can encourage customers to embrace mobile instant messaging-based online restaurant communities.

Tour guides often use humor to entertain tourists, but the process of tour guide humor (TGH) affecting tourists’ positive word of mouth (PWOM) remains unclear. To fill the gap, this study aims to investigate how TGH enhances tourists’ PWOM through perceived relationship investment, perceived wellness value and trust in tour guides.

A comprehensive mediation model was proposed based on social exchange theory (SET). Data were obtained from 335 tour group tourists and analyzed using structural equation modeling.

Results present that TGH positively predicts tourists’ PWOM. Perceived relationship investment, perceived wellness value and trust in tour guides not only play mediating roles between TGH and tourists’ PWOM, respectively, but also jointly provide two sequential mediation paths (TGH → perceived relationship investment → trust in tour guides → tourists’ PWOM and TGH → perceived wellness value → trust in tour guides → tourists’ PWOM).

The findings have practical value for tour guides and travel agencies to use TGH to improve tourists’ PWOM.

The major contribution is that a reciprocity-based framework rooted in SET was proposed to parse the complex process of TGH promoting tourists’ PWOM. Furthermore, this study enriches current knowledge by confirming that perceived wellness value is not only available in wellness tourism but can be experienced from TGH in mass tourism.

This study aims to investigate the effect of hotel servicescape on customer citizenship behaviors “CCBs” by addressing customer engagement as a mediator and gender as a moderator.

A total of 619 questionnaires were collected from hotel customers. Structural equation modeling was applied for data analysis.

Customer engagement mediates the effects of physical and social servicescapes on CCBs of providing feedback to an organization, making recommendations and helping other customers. Moreover, the indirect effects of physical servicescape on the three types of CCBs through customer engagement are stronger for male than for female customers, whereas no significant gender difference is observed in those effects of social servicescape on these types of CCBs through customer engagement.

This study can help hotels promote the three types of CCBs and customer engagement by creating wonderful physical and social servicescape elements. The major limitation is that this study collected survey data outside the hotel environment.

This study enriches current knowledge on the servicescape-driven responses by exploring how hotel servicescape elements affect the three types of CCBs through customer engagement. Additionally, the different moderating roles of gender in the indirect influences of servicescape elements on these types of CCBs are presented.

In this paper, with the goal of reducing the fuel consumption of UAV, the engine performance optimization is studied and on the basis of aircraft/engine integrated control, the minimum fuel consumption optimization method of engine given thrust is proposed. In the case of keeping the given thrust of the engine unchanged, the main fuel flow of the engine without being connected to the afterburner is optimally controlled so as to minimize the fuel consumption.

In this study, the reference model real-time optimization control method is adopted. The engine reference model uses a nonlinear real-time mathematical model of a certain engine component method. The quasi-Newton method is adopted in the optimization algorithm. According to the optimization variable nozzle area, the turbine drop-pressure ratio corresponding to the optimized nozzle area is calculated, which is superimposed with the difference of the drop-pressure ratio of the conventional control plan and output to the conventional nozzle controller of the engine. The nozzle area is controlled by the conventional nozzle controller.

The engine real-time minimum fuel consumption optimization control method studied in this study can significantly reduce the engine fuel consumption rate under a given thrust. At the work point, this is a low-altitude large Mach work point, which is relatively close to the edge of the flight envelope. Before turning on the optimization controller, the fuel consumption is 0.8124 kg/s. After turning on the optimization controller, you can see that the fuel supply has decreased by about 4%. At this time, the speed of the high-pressure rotor is about 94% and the temperature after the turbine can remain stable all the time.

The optimal control method of minimum fuel consumption for the given thrust of UAV is proposed in this paper and the optimal control is carried out for the nozzle area of the engine. At the same time, a method is proposed to indirectly control the nozzle area by changing the turbine pressure ratio. The relevant UAV and its power plant designers and developers may consider the results of this study to reach a feasible solution to reduce the fuel consumption of UAV.

Fuel consumption optimization can save fuel consumption during aircraft cruising, increase the economy of commercial aircraft and improve the combat radius of military aircraft. With the increasingly wide application of UAVs in military and civilian fields, the demand for energy-saving and emission reduction will promote the UAV industry to improve the awareness of environmental protection and reduce the cost of UAV use and operation.

The purpose of this paper is to present a modified firefly algorithm (FA) considering the population diversity to avoid local optimum and improve the algorithm’s precision.

When the population diversity is below the given threshold value, the fireflies’ positions update according to the modified equation which can dynamically adjust the fireflies’ exploring and exploiting ability.

A novel metaheuristic algorithm called FA has emerged. It is inspired by the flashing behavior of fireflies. In basic FA, randomly generated solutions will be considered as fireflies, and brightness is associated with the objective function to be optimized. However, during the optimization process, the fireflies become more and more similar and gather into the neighborhood of the best firefly in the population, which may make the algorithm prematurely converged around the local solution.

Due to different dimensions and different ranges, the population diversity is different undoubtedly. And how to determine the diversity threshold value is still required to be further researched.

This paper presents a modified FA which uses a diversity threshold value to guide the algorithm to alternate between exploring and exploiting behavior. Experiments on 17 benchmark functions show that the proposed algorithm can improve the performance of the basic FA.

The purpose of this paper is to summarize the China Agricultural Economic Review (CAER)'s second annual conference, which was organized by the CAER editorial office and International Food Policy Research Institute (IFPRI).

The conference theme was “Agriculture and the Wealth of Nations”, aiming to explore the importance of agriculture as well as the relationship and interaction between agriculture and the whole economy. The attendees from 14 countries discussed the related issues, and a number of distinguished scholars and policy makers were also invited to present at the conference. This summary presents the topics covered at the conference and highlights discussion points.

Action items were identified which could be appropriately organized into the following sections: agricultural trade and rural labor issues; rural governance and public policy; climate change and food security; rural land and rural finance issues.

The paper illustrates how the academic platform established by the CAER‐IFPRI conference, enables scholars from varied cultures and fields to get together to share their researches and ideas.