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Authority leadership (AL) is one of the most distinctive dimensions of paternalistic leadership (PL), and it is recognized that PL is the most common leader behavior in the Chinese organizational context. Although considerable state‐of‐the‐art research work regarding the concept and dimensions of AL has been done, extensive empirical studies based on using the data from both individual and team levels to examine the effectiveness from the values viewpoint, e.g. Collectivism, attract little attention. The purpose of this paper is to investigate the relationship between AL and organizational citizenship behavior (OCB). To address this issue, the role of collectivism to analyze the relationship between AL and OCB, at both individual and team levels in the Chinese organizational context, is explored.

This paper focuses on analyzing the role of collectivism in the relationship between AL and OCB. To this end, the authors draw on a sample set of 320 supervisor‐subordinate dyads from 32 branches of a beauty chain shop in the cities of Shenzhen and Zhuhai, China. After sending out questionnaires to 32 supervisors and 320 beauticians, 31 supervisors and 245 beauticians provided effective feedback. With the help of SPSS 17.0 statistical software, the data from the sample set are analyzed rather than self‐reported. Furthermore, the authors study the relationship between AL and OCB, the mediating effect, and the moderating role of collectivism, respectively.

The findings of this paper can be described from two levels. At the individual level, AL positively influences employee's OCB through the mediating effect of collectivism; and collectivism is capable of moderating the main effect. At the team level: AL positively influences Team OCB (TOCB) through the mediating effect of Team Collectivism (TC); and TC also moderates the main effect.

Due to space limitations, the authors only consider the effect of collectivism; other dimensions of values which may have similar effect to the mechanism of the relationship between AL and OCB are not taken into account.

The paper shows that both AL and collectivism enhance OCB, and collectivism is the moderator of the relationship between AL and OCB. Since the moderating effect mechanism is different between individual and team levels, there should be more focus on AL and values. It is expected that the obtained results are significant in both theory and practice for the Chinese leadership research and application. Moreover, the paper presents some comments on the implication of this work and future research issues.

Dyadic interactions are significant for human life. Most body sensor networks-based research studies focus on daily actions, but few works have been done to recognize affective actions during interactions. The purpose of this paper is to analyze and recognize affective actions collected from dyadic interactions.

A framework that combines hidden Markov models (HMMs) and k-nearest neighbor (kNN) using Fisher kernel learning is presented in this paper. Furthermore, different features are considered according to the interaction situations (positive situation and negative situation).

Three experiments are conducted in this paper. Experimental results demonstrate that the proposed Fisher kernel learning-based framework outperforms methods using Fisher kernel-based approach, using only HMMs and kNN.

The research may help to facilitate nonverbal communication. Moreover, it is important to equip social robots and animated agents with affective communication abilities.

The presented framework may gain strengths from both generative and discriminative models. Further, different features are considered based on the interaction situations.

Accurately judging the quality of marine economic development is the premise of grasping the level and status of marine economic development. In order to scientifically evaluate the development quality of regional marine economy, the purpose of this paper is to select the marine area of Qingdao as the research object, and construct a marine economic development quality evaluation index system with 16 indicators.

The raw data is normalized by the range conversion method, and the weight of the index is determined by the information entropy model. Further, the grey relational analysis (GRA) method is used to evaluate the quality of marine economic development of Qingdao from 2012 to 2017.

The results show that the marine economic development capacity of Qingdao is with the generally increasing trend, the total marine economy is with on the rising trend, the marine storage and transportation capacity, and marine ecological environment are first decreased, and then increased. The utilization of marine resources is generally decreasing, and the comprehensive management of oceans varies with the changes of environment and economy. Therefore, in view of the development capacity of marine economy, the coordinated development of economy and environment should be carried out.

This paper uses the GRA to evaluate the quality of marine economic development and provides a reference for the development of marine economy in Qingdao.

Urban water bodies play an important role in reducing summertime urban heat island (UHI) effects. Previous studies focused mainly on the impact of water bodies of large areas, and there is no analysis of the efficacy and scale effect of how small and medium-sized water bodies reduce the UHI effects. Hence, these studies could not provide theoretical support for the scientific planning and design of urban water bodies. This study aims to confirm, within different scale ranges, the efficacy of a water body in reducing the summertime UHI effects. We propose a scale sensitivity method to investigate the temporal and spatial relationship between urban water bodies and UHI. Based on the scale theory and geostatistical analysis method in landscape ecology, this study used the platforms of 3S, MATLAB, and SPSS to analyze the distance-decay law of water bodies in reducing summertime UHI effects, as well as the scale response at different water surface ratios. The results show that the influence of water surfaces on UHIs gradually decreases with increasing distance, and the temperature rises by 0.78 °C for every 100 m away from the water body. During daytime, there is a scaled sensitivity of how much water surfaces reduce the summertime UHI effects. The most sensitive radius from the water was found at the core water surface ratio of 200 m. A reduction of UHI intensity by 2.3 °C was observed for every 10% increase of the average core water surface ratio. This study provides a theoretical reference to the control of heat islands for the planning and design of urban water bodies.

The profound impact of the COVID-19 pandemic on the film industry has underscored the growing significance of online movies. However, there is limited research available on the factors that influence the viewership of online films. Therefore, this study aims to use the signaling theory to investigate how signals of varying qualities affect online movie viewership, considering both signal transmission costs and prices.

This study uses a sample of 1,071 online movies released on the iQiyi from July 2020 to July 2022. It uses OLS regression and instrumental variable method to examine the impact of various quality indicators on the viewership of online movies, as well as the moderating effect of price.

After conducting a thorough analysis of this study, it can be deduced that the varying impacts on online movie viewership are attributed to disparities in signal transmission costs. Specifically, star influence and rating exhibit a positive effect on the viewership of online movies, whereas the number of raters has a detrimental impact. Furthermore, there exists an “inverted U-shaped” relationship between the number of reviews and online movie viewership. Additionally, within the consumer decision-making process, both price-cost and price-quality relationships coexist. This is evident as prices negatively affect online movie viewership but positively moderate the relationship between rating, number of reviews and online movie viewership.

The research findings of this study offer valuable insights for online film producers to effectively leverage quality signals and pricing, thereby capturing market attention and enhancing film profitability.