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This study aims to fill three theoretical gaps in previous literature on exploration and exploitation: the relationship between exploration and exploitation is inconclusive; the influences of exploration and exploitation on firm performance are not consistent; and no empirical studies have integrated the antecedents of exploration and exploitation from the different research fields.

The study conducted a meta-analysis to quantitatively synthesize 143 studies with 257 independent samples to understand the relationship between exploration and exploitation and their consequences and antecedents.

The results show that exploration and exploitation are positively correlated with each other, and both of them can boost firm performance. Moreover, firm capabilities, firm size, firm age, competitive intensity, market orientation and entrepreneurial orientation positively influence exploration, and firm resources, firm capabilities, firm size, firm age, market orientation and entrepreneurial orientation positively influence exploitation. Competitive intensity negatively influences exploitation. Surprisingly, market turbulence does not significantly influence exploration or exploitation.

The results not only contribute to the theories by reconciling the inconsistent results but also provide insight for firms with guidance about under what conditions they should use what strategies.

This paper aims to establish the relation between corporate governance – as represented by investor protection at both the legal and firm levels – and stock market liquidity.

This paper avails of the unique features of Hong Kong- and China-based stocks that are traded on the Hong Kong Stock Exchange so as to test whether differences between “common law” and “civil law” legal environments contribute to differences in stock liquidity. In addition, by constructing an internal corporate governance index score for each firm based on board size, board independence and information on the audit and remuneration committee, we document whether firms with better corporate governance scores have narrower spreads, greater depth and higher trading volumes.

Overall, results provide support for a linkage between corporate governance issues – as investor rights protection at both the environment and firm protection levels – and stock market liquidity.

This paper recognizes that investor protection constitutes a single component of the desirability of investing in a firm’s stock. Nevertheless, it does appear to constitute an important component of a stock’s attractiveness.

The practical implications are clear, namely, that good corporate governance of firms leads to their attractiveness as investment vehicles (for both the shorter and the longer terms).

The paper has clear social implications. In particular, the paper serves to highlight that prospects for enduring wealth creation are contingent on the safeguards accorded to the equity ownership of a firm’s stock.

The originality lies in taking advantage of the unique features of the Chinese and Hong Kong firms on the Hong Kong Exchange, so as to examine the contrasting influences of common law and civil law on stock liquidity. Thus, the authors allow for the effects of corporate governance across the two legal environments (China and Hong Kong) to be compared and contrasted while maintaining other influences unchanged across Chinese and Hong Kong shares.

Understanding costumer requirements is a precondition for clothing design and manufacturing. A good shapewear designer should know women’s preferences for their buttock shapes before making patterns. The purpose of this paper is to figure out factors affecting the beauty of women’s buttock shapes and the effect of ethnic background to buttock shapes preference.

The approach utilized both 3D virtual models and 3D printed models to detect women’s preference for their buttock shapes. As a first stage, a two-step K-means cluster method was used to classify female buttock shapes into ten groups and these ten kinds of buttock shapes were output as 3D virtual models and printed out as 3D plastic models. In a subsequent stage, 51 Caucasians, 35 African-Americans and 49 Asians were selected to rank the models separately based on their preference and choose the factors which they thought could influence the beauty of buttock shapes. Kendall’s W coefficient was tested to help assessing the ranking results. Finally, a sample girdle was designed based on the buttock shape preferences of Asian females as an example, and was tested by a model.

Results showed some correlation between ethnicity and buttock shape preference. Both methods of presentation of the shapes were equally preferred by participants. Caucasian women preferred a full, round buttock shape, which was coordinated to other parts of the body. The attractive buttock shape as judged by Asian women was curvy, not drooping and not too big. African-American women choose buttock shapes that were very full with high buttock bumps as beautiful. A sample girdle was made based on the preferences of Asian females and it proved to perform well in creating the desired shape during the trial test.

Current research in the literature about women’s buttock beauty is based on plastic surgeons’ experiences. This study provides a novel method to analyze female’s preference for their buttock shapes; a method that can also be used for other body parts. The results can also be used as an indicator for underwear designers to improve shapewear pattern designs and for consumers to evaluate the shaping ability of shapewear.

This study aims to explore the relationship between folk religious place-making and the development of urban public spaces and summarize its influence on community network construction and daily behavior to discover the authentic practices and role of folk faith culture in social space.

Taking Macau's Shi Gandang Temple and its belief culture as an example, on-site research, historical evidence and interviews were used to elaborate and analyze the processes of place-making, social functions, management mechanisms and folk culture to establish a new perception of folk religious place-making in contemporary urban spaces.

The article argues that the culture of folk beliefs profoundly influences urban spaces and the social management system of Macau and has a positive significance in building the local community and geopolitical relations. In addition, it suggests that the participation of folk religious places in local practices is important as key nodes and emotional hubs of local networks, reconciling conflicts between communities of different backgrounds and driving urban spaces toward diversity while forming a positive interaction and friendly cooperation between regional development and self-contained management mechanisms, governance models and cultural orientations.

This study takes an architectural and anthropological perspective of the impact of faith on urban spaces and local governance, using the Shi Gandang Temple in Macau as an example, to complement related studies.

Drawing on the social cognitive theory, this study investigated the effect of mentors' drinking norms on their protégés' alcohol misuse by focusing on the mediating role of conformity drinking motives and the moderating role of moral disengagement. We conducted a three-wave survey of 148 mentor–protégé dyads and found that mentors' drinking norms were positively related to their protégés' alcohol misuse and that this relationship was fully mediated by conformity drinking motives. Moreover, the moderated mediation model revealed that moral engagement strengthens the main effects of mentors' drinking norms on conformity drinking motives and the indirect effects of mentors' drinking norms on protégés' alcohol misuse via enhanced conformity drinking motives. The theoretical and practical implications are discussed.

This study aims to analyse the scientific relationship between technological innovation and carbon emissions. Taking the Chinese electric power industry as the empirical research object, this study examined the effect of power technological innovation on carbon emissions and proposed policy recommendations for the development of technological innovation in China.

This study first calculated the energy consumption and carbon emission level of the Chinese electric power industry from 2005 to 2018. Secondly, this study built an evaluation index system for technological innovation of electric power with six indicators: average utilisation hours of power generation equipment; power consumption rate of power plant; line loss rate; standard coal consumption for power generation; standard coal consumption for power supply; and number of patent applications granted for generation, conversion or distribution of electric power in China. Finally, from a practical point of view, the relationship between technological innovation and carbon emissions of the Chinese electric power industry from 2005 to 2018 is evaluated and analysed.

Power technology innovation has been found to have a long-term and relatively large effect on carbon emissions, and carbon emissions have a short-term and insignificant impact on power technology innovation.

This study puts forward relevant suggestions for developing technological innovation and technology transfer, which is essential to establishing a low-carbon or zero-carbon power system in China.

This study provides empirical evidence for clarifying the relationship between technological innovation and carbon emissions in the power industry and further develops research theories on technological innovation and carbon emissions.

Relevant authorities will adopt measures to promote technological innovation and development in the power sector to reduce carbon emissions.

This study built an evaluation index system with six indicators for technological innovation of electric power. The evaluation method was used to measure the technological innovation level of the Chinese electric power industry. The causal link between technological innovation and carbon emissions in China was analysed.

Casing damage problems are increasingly prominent in oil fields, most of which were caused by casing external squeezing loads. The traditional calculation method of casing external squeezing loads is not very accurate now, especially in complex formation. The purpose of this paper is to propose a new calculation method to solve the problem of actual casing loads under above conditions.

Based on Lame’s model of elastic mechanics, a new calculation method of casing external squeezing loads is deduced. Comprehensive influence laws of the loads which caused by in-situ stress, internal pressure, formation parameters, cement annulus parameters and casing parameters are analyzed.

The paper provides a new calculation method of casing external squeezing loads, by which the dispersion effect of internal liquid pressure caused by casing wall material is eliminated. The main influence factors of casing external squeezing loads are in-situ stress and formation elastic modulus.

The model and boundary conditions used in the paper is based on elastic mechanics. The accuracy of the calculation results depends on the quality and accuracy of the input formation parameters.

This paper proposes a new method to calculate casing external squeezing loads. And compared with traditional methods, this method is more practical.

Short-form video advertisements have recently gained popularity and are widely used. However, creating attractive short video advertisements remains a challenge for sellers. Based on the visual-audio perspective and signaling theory, this study investigated the impacts of three visual features (number of shots, pixel-level image complexity and vertical versus horizontal formats) and two audio features (speech rate and average spectral centroid) on user engagement behavior.

We conducted a field study on TikTok. To test our various hypotheses, we used regression analysis on 2,511 videos containing product promotion information posted by 60 sellers between January 1, 2020 and November 20, 2021.

For visual variables, the number of shots and pixel-level image complexity were found to have nonlinear (inverted U-shaped) relationships with user engagement behavior. The vertical video form was found to have a positive effect on comments and shares. In the case of audio variables, speech rate was found to have a significant positive effect on shares but not on likes and comments. The average spectral centroid was found to have significant negative influences on likes and comments.

This study provides specific suggestions for sellers who create short-form videos to improve user engagement behavior.

This study contributes to the literature on short-form video advertising by extending the potential drivers of user engagement behavior. Additionally, from a methodological perspective, it contributes to the literature by using computer vision and speech-processing techniques to analyze user behavior in a video-related context, effectively overcoming the limitations of the widely adopted survey method.

This paper addresses the limitations of current graph neural network-based recommendation systems, which often neglect the integration of side information and the modeling of complex high-order interactions among nodes. The research motivation stems from the need to enhance recommendation performance by effectively utilizing all available data. We propose a novel method called MSHCN, which leverages hypergraph neural networks to integrate side information and model complex interactions, thereby improving user and item representations.

The MSHCN method employs a hypergraph structure to incorporate various types of side information, including social relationships among users and item attributes, which are essential for enriching user and item representations. The k-means clustering algorithm is utilized to create item-associated hypergraphs, while sentiment analysis on user reviews refines the modeling of user interests. Additionally, hypergraphs are constructed for user-user and item-item interactions based on interaction similarity. MSHCN also incorporates contrastive learning as an auxiliary task to enhance the representation learning process.

Extensive experiments demonstrate that MSHCN significantly outperforms existing recommendation models, particularly in its ability to capture and utilize side information and high-order interactions. This results in superior user and item representations and improved recommendation performance.

The novelty of MSHCN lies in its use of a hypergraph structure to integrate diverse side information and model intricate high-order interactions. The incorporation of contrastive learning as an auxiliary task sets it apart from other hypergraph-based models, providing a significant enhancement in recommendation accuracy.

The purpose of this paper is to improve the robustness of the traditional Bhattacharyya metric for the effect of histogram quantization in the histogram-based visual tracking. However, the traditional Bhattacharyya metric neglects the correlation of crossing-bin and is not robust for the effect of histogram quantization.

In this paper, the authors propose a visual tracking method via crossing-bin histogram Bhattacharyya similarity in the particle filter.

A crossing-bin matrix is introduced into the traditional Bhattacharyya similarity for measuring the reference histogram and the candidate histogram, and the basic tasks of measure such as maximum similarity of self and the triangle inequality are proven. The authors use the proposed measure in the particle filter visual tracking framework and address a model update strategy based on the crossing-bin histogram Bhattacharyya similarity to improve the robustness of visual tracking.

In the experiments using the famous challenging benchmark sequences, precision of the proposed method increases by 12.8 per cent comparing the traditional Bhattacharyya similarity and the cost time decreases by 38 times comparing the incremental Bhattacharyya similarity. The experimental results show that the proposed method can track the object robustly and rapidly under illumination change and occlusion.