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Mobile instant messaging (IM) has been increasingly adopted by hotels to communicate with customers. This study aims to explore communication between hotels and customers and identifies the factors that affect hotel customers’ intention to use mobile IM to communicate with hotels.

A two-stage exploratory sequential mixed-method design, which combines semi-structured interview and policy-capturing method was applied.

The findings indicate that customers are more likely to use mobile IM to communicate with hotels for non-urgent matters; before and after a stay; and if customers are accustomed to using mobile IM for work and non-work purposes in daily life.

This study goes beyond traditional theories to capturing communication-related factors that affect customers’ IM use in a hotel context.

The findings indicate why hotel managers should avoid relying on IM as the dominant communication channel.

This is among one of the first studies that explore customers’ communication needs and communication media choice in hotels.

This study aims to focus on the authority formation process of Chinese enterprise leaders, with the purpose of finding out how an ordinary newly established firm leader develops into a real top leader and achieves the status of legitimacy in a well-known enterprise.

Based on constructivist grounded theory, this paper investigates the formation mechanism of entrepreneurial authority in China by using the rich data of Liu Chuan-zhi’s leader activities.

In the “evolution” path of authority formation, leaders continually consolidate and improve their authority through two classes of exceptional management activities: “emergency rescue” and “promotion activities”. The successful realization of exceptional management activities benefits from a leader’s management experience accumulation and relationship maintenance with the government. In the “design” path of authority formation, leaders consolidate and improve their authority by exercising their position of power. Leaders’ legitimacy is reflected by making strategic decision and demonstrating discretion of position power. Additionally, passing on an inspiring leader’s thoughts and ideas to an organization’s members is accomplished through the construction of organization culture, institutionalization and convention.

First, the findings are based on only Liu Chuan-zhi’s case. The authors still need more cases to compare and develop the findings and seek theoretical saturation in a broader sense. Second, the qualitative analysis is based on secondary data and future research could consider the introduction of interviews, video and other types of research data.

Under the parallel paths which are “evolution” and “design”, the dynamic leader authority formation model in China is founded.

The purpose of this paper is to test and explain the context where motivation to learn (MTL) reduces innovative behavior in the organizational context.

The authors used questionnaire survey to collect data in a field study. In order to test the moderating effect of transfer climate, MTL on the relationship between MTL and innovative behavior, a sample of 606 employees was analyzed to examine the theoretical expectation by using multiple regression and bootstrapping.

The authors found employees motivated to learn showed less innovative behavior when perceived transfer climate is less favorable. The authors further revealed that motivation to transfer mediates the moderating effect of transfer climate for the relationship between MTL and innovative behavior.

One suggestion for further research is to investigate the relationship among the four constructs by using multi-source, multi-wave and multi-level method.

This study provides several useful guidance of how organization and manager avoid the negative effects of MTL through encouraging employees to learn new knowledge and skills, and providing employee opportunities to use their acquired knowledge and skills.

The authors contribute to the motivational literature by taking a step further to understand the effect of MTL. The authors propose and confirm that employee MTL can lead to negative outcomes when individuals perceived transfer climate is low. The results offer new insight beyond previous findings on positive or non-significant relationship between MTL and innovative behavior. The results further show that this interactive effect is induced by motivation to transfer. Particularly, low transfer climate reduces individuals’ motivation to transfer, and individuals with high MTL have low innovative behavior when they are less motivated to transfer.

This study extends related research on corporate social responsibility (CSR) into the less-researched realm of Southeast Asia setting by investigating the role of life cycle stages on the relationship between CSR and firm value.

This study uses a sample of 1,247 firm-year observations of firms listed in Southeast Asia from 2012 to 2018. Descriptive, multiple regression and sensitivity analyses are presented in the study.

The results provide evidence that although CSR and firm value, in general, have a positive relationship, the relationship is contingent on the stages of firm's life cycle. The effect of each CSR dimension on firm value differs across life cycle stages. The social dimension of CSR predicts higher firm value at the introduction and mature stages. The governance dimension affects firm value at the growth and shake-out/decline stages. Moreover, the environmental dimension affects firm value only at the later stage of the life cycle.

This study is limited to five countries in Southeast Asia, namely Indonesia, Malaysia, Philippines, Singapore and Thailand from 2012 to 2018. Future studies may explore other countries and investigate the impact of country classification on the relationship between CSR and firm value.

Policymakers, managers and other decision-makers may have a better understanding of firm's behavior in different life cycle stages. With such understanding, CSR will be successfully adopted in decision making, formulation and implementation of policies.

CSR-related research in Southeast Asia remains an under-studied domain, and little attention has been dedicated to different dimensions of CSR and life cycle in the area of CSR-related preference for decision making.

Laser point clouds are a 3D reconstruction method with wide range, high accuracy and strong adaptability. Therefore, the purpose is to discover a construction point cloud extraction method that can obtain complete information about the construction of rebar, facilitating construction quality inspection and tunnel data archiving, to reduce the cost and complexity of construction management.

Firstly, this paper analyzes the point cloud data of the tunnel during the construction phase, extracts the main features of the rebar data and proposes an M-E-L recognition method. Secondly, based on the actual conditions of the tunnel and the specifications of Chinese tunnel engineering, a rebar model experiment is designed to obtain experimental data. Finally, the feasibility and accuracy of the M-E-L recognition method are analyzed and tested based on the experimental data from the model.

Based on tunnel morphology characteristics, data preprocessing, Euclidean clustering and PCA shape extraction methods, a M-E-L identification algorithm is proposed for identifying secondary lining rebars in highway tunnel construction stages. The algorithm achieves 100% extraction of the first-layer rebars, allowing for the three-dimensional visualization of the on-site rebar situation. Subsequently, through data processing, rebar dimensions and spacings can be obtained. For the second-layer rebars, 55% extraction is achieved, providing information on the rebar skeleton and partial rebar details at the construction site. These extracted data can be further processed to verify compliance with construction requirements.

This paper introduces a laser point cloud method for double-layer rebar identification in tunnels. Current methods rely heavily on manual detection, lacking objectivity. Objective approaches for automatic rebar identification include image-based and LiDAR-based methods. Image-based methods are constrained by tunnel lighting conditions, while LiDAR focuses on straight rebar skeletons. Our research proposes a 3D point cloud recognition algorithm for tunnel lining rebar. This method can extract double-layer rebars and obtain construction rebar dimensions, enhancing management efficiency.

This research aims to examine Chinese consumers’ wine consumption and purchasing behaviour.

The study, conducted during the Chinese New Year in early 2006, used in‐depth interviews with 15 consumers in Guangzhou, People's Republic of China.

The results suggest that Chinese consume Chinese spirits for all occasions, yet consume red wine only for special occasions such as Chinese new year and other holidays. A key point for selling red wine to the Chinese is its positive image; drinking red wine is considered trendy and shows good taste. Another key point is consumer perceptions of red wine as healthier than Chinese spirits because wine contains less alcohol. Two other findings are that most Chinese consumers assume all wine is red wine and have little wine knowledge. Most respondents did not know of white wine or that Australia produces wine. Finally, China's culture of face value, mianzi, plays a key role in purchasing and consuming wine. Chinese tend to purchase inexpensive wine for private consumption and public occasions, yielding more mianzi in front of others. In some important occasions, consumers will purchase a foreign (French) red wine to impress their guests and obtain even more mianzi. In most situations, Chinese purchase and consume wine for perceived health and symbolic – lucky or good face – values.

The small sample size is a limitation. Another limitation is that all the respondents lived in the urban area of Guangzhou, one of China's most developed cities. The findings do not generalize to China.

The findings suggest that wine is a symbolic product rather than a necessity product in China; therefore, image is an important attribute for selling wine in China. Furthermore, limited wine knowledge tends to make Chinese consumers rely heavily on price for their wine purchasing decisions, as price relates to mainzi. Chinese consumers’ high awareness of France as a wine making country and their deep‐rooted positive beliefs about French wines pose difficulties for marketing other foreign wines, such as Australian wines, in China.

This is perhaps the first academic study in English of Chinese wine consumption and wine purchasing. It offers important insights on the characteristics of wine consumption and purchasing in China.

A community demonstrates the unique qualities and relationships between its members that distinguish it from other communities within a network. Network analysis relies heavily on community detection. Despite the traditional spectral clustering and statistical inference methods, deep learning techniques for community detection have grown in popularity due to their ease of processing high-dimensional network data. Graph convolutional neural networks (GCNNs) have received much attention recently and have developed into a potential and ubiquitous method for directly detecting communities on graphs. Inspired by the promising results of graph convolutional networks (GCNs) in analyzing graph structure data, a novel community graph convolutional network (CommunityGCN) as a semi-supervised node classification model has been proposed and compared with recent baseline methods graph attention network (GAT), GCN-based technique for unsupervised community detection and Markov random fields combined with graph convolutional network (MRFasGCN).

This work presents the method for identifying communities that combines the notion of node classification via message passing with the architecture of a semi-supervised graph neural network. Six benchmark datasets, namely, Cora, CiteSeer, ACM, Karate, IMDB and Facebook, have been used in the experimentation.

In the first set of experiments, the scaled normalized average matrix of all neighbor's features including the node itself was obtained, followed by obtaining the weighted average matrix of low-dimensional nodes. In the second set of experiments, the average weighted matrix was forwarded to the GCN with two layers and the activation function for predicting the node class was applied. The results demonstrate that node classification with GCN can improve the performance of identifying communities on graph datasets.

The experiment reveals that the CommunityGCN approach has given better results with accuracy, normalized mutual information, F1 and modularity scores of 91.26, 79.9, 92.58 and 70.5 per cent, respectively, for detecting communities in the graph network, which is much greater than the range of 55.7–87.07 per cent reported in previous literature. Thus, it has been concluded that the GCN with node classification models has improved the accuracy.

Previous research has generally assumed that a homogeneous cultural value exists within a given country. This research aims to identify the regional differences in cultural value based on an urbanization dimension in China, which generate diversity with regard to perceived value and consumer decision‐making styles.

A large‐scale questionnaire was administered to freshmen from major colleges and universities across China to measure cultural value, perceived value, and consumer decision‐making style. The data were analyzed with a multi‐group structural equation model and a stepwise discrimination test.

Results demonstrated significant differences in cultural value, perceived value and consumer decision‐making style among regions with different degrees of urbanization and revealed antecedents and formation of the mechanism of decision‐making style.

Future research should explore more antecedents that influence consumer decision‐making styles and other market dimensions other than urbanization.

The research might provide prominent guidelines for marketers to understand Chinese consumers. Specifically, in regions with different degrees of urbanization, marketers should develop differential strategies to exploit the market given the distinctions in cultural value, perceived value and consumer decision‐making styles.

This study is the first to build a theoretical relational model of cultural value, perceived value and consumer decision‐making styles. And this model revealed the antecedents and formation of the mechanism of decision‐making style.

Since the beginning of the new millennium, Confucian doctrines on one’s self-cultivation have been re-introduced to curriculum in China. The revived cherish of the Confucian legacy in the twenty-first century is a reverse from the official rejection of Confucianism in the Mao era (1950–1976). It also appears as a counterweight to the individualism proliferating among the Chinese youths born at the beginning of the new millennium (Gen Z). The re-introduction of Confucianism is thus ideologically purposeful. Yet how does the mixed exposure to Confucius’ legacy and the modern idea of self-awareness impact this cohort of young people, in particular their way of learning? This chapter focusses on Chinese Gen Z studying in Australia. Using the Bourdieuan theory of human habitus, this chapter examines how these students negotiate between the ideas of self-cultivation and self-awareness, and what implications such experiences have in an intercultural academic community.

The purpose of this paper is to explore structural relationships among the variables of brand association, student trust, commitment, and satisfaction in the higher education sector.

A survey was used to collect data from a sample of 500 students who studied at universities in Taiwan in 2016. These data were gathered using a convenience sampling method and analyzed using a structural equation model. A total of 371 questionnaires (74.2 percent) were considered valid. Due to testing and identifying the hypothesis and structure among those variables, structural equation modeling was used to determine the best model among brand association, trust, commitment, and satisfaction.

For the conceptual framework, the author found that this structural equation model complies with the empirical data. The structural equation model shows that brand association, student trust, and commitment were significantly related to student satisfaction. Brand association has a direct influence on student trust, commitment, and satisfaction in higher education institutions. Student trust and commitment also had a direct influence on student satisfaction, and they are all mediating variables.

The findings of the current study add to the existing literature by contributing to a better perception of university management and providing acceptable strategies to improve the higher education industry.