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The purpose of this paper is to investigate the relationship among ownership structure, information disclosure and benefits of control under Lab‐experimental frame, based on the ownership structure in China's stock market.

Theoretical Shapley value of shareholders was used as the representative of control right, and benefits of control in different experimental treatments were studied.

Experimental results show: first, more counterbalance of shareholders' control rights, less benefits of their control right. Accordingly, more chance to form core alliance for the major shareholder with small shareholders, less chance for them to get control right; second, the effect of information on benefits of control are mainly reflected in forming and maintaining the alliance; third, Shapley value of the major shareholder and the information determine the alliance type; fourth, control premium may be the cost of keeping the major shareholder's benefits safe and fifth, imperfect information is not always bad, concealing information partly can improve the distribution efficiency of a corporation.

The paper provides experimental analysis of the behavioral logic behind the benefits of control, which would help to explain the relationship among ownership structure, information disclosure and benefits of control.

To improve the trajectory tracking accuracy of 6R decoupled manipulator in singularity region, this paper aims to propose a singularity avoidance algorithm named “singularity separation plus improved Gaussian distribution damped reciprocal”.

The manipulator is divided into forearm and wrist, and the corresponding singularity factors are separated based on kinematics calculation. Singularity avoidance is achieved by replacing the common reciprocal with the improved Gaussian distribution damped reciprocal.

Compared with common damped reciprocal algorithm and classical Gaussian distribution algorithm, the continuity of the proposed algorithm is improved and the tracking error is minimized. The simulation and experiment results prove effectiveness and practicability of the proposed algorithm.

This study has an important significance to improve the efficiency and operation accuracy of 6R decoupled manipulator.

The research steam on tourism destination image, begun in the late 1960s, has been essentially operational in its approach, and only occasionally strategic. Aspects relating to the image of tourism destinations still constitute a relatively unexplored line of research. This paper, first establishes specific conceptual and methodological approaches, to enable us to rigorously study and evaluate the image of what we understand as a tourism destination characterized by “sun and beach”. It then applies this methodological proposition to a number of destinations in the Caribbean, focusing on the case of Cuba from an important tourist‐origin market for this destination, Spain.

Recommendation systems are a fundamental tool for hotels to adopt a differentiating competitive strategy. The main purpose of this work is to use machine learning techniques to treat imbalanced data sets, not applied until now in the tourism field. These techniques have allowed the authors to analyse the influence of imbalance data on hotel recommendation models and how this phenomenon affects client dissatisfaction.

An opinion survey was conducted among hotel customers of different categories in 120 different countries. A total of 135.102 surveys were collected over eleven quarters. A longitudinal design was conducted during this period. A binary logistic model was applied using the function generalized lineal model (GLM).

Through the analysis of a representative amount of data, the authors empirically demonstrate that the imbalance phenomenon is systematically present in hotel recommendation surveys. In addition, the authors show that the imbalance exists independently of the period in which the survey is done, which means that it is intrinsic to recommendation surveys on this topic. The authors demonstrate the improvement of recommendation systems highlighting the presence of imbalance data and consequences for marketing strategies.

The main contribution of the current work is to apply to the tourism sector the framework for imbalanced data, typically used in the machine learning, improving predictive models.

Given the great tourist attractiveness of Spain at international level, tourism has become one of the main sources of income and employment, as well as a basic pillar of the Spanish economy. With these ideas in mind, this paper aims to study how the different promotion strategies implemented in the industry have influenced the evolution of tourism in Spain since the early 20th century.

The research is a general review, providing a historical examination of the diverse promotion strategies deployed in the tourism industry in Spain over the past decades. It focuses on the descriptive approach of these strategies and their implications throughout the 20th century and the beginning of the 21st century.

The findings reveal a shift in recent years from strategies focused on Marketing 1.0 to strategies that, apart from being centered on consumer values (therefore, Marketing 3.0), are beginning to rely to a greater extent on information and communication technologies (ICT) and sustainability, more in line with the more recent Marketing 4.0 and even Marketing 5.0.

This work has many implications for the management of public and private operators in the industry, including the need to incorporate the latest marketing trends – most notably the advances in ICT and sustainability.

The study offers an in-depth understanding of how marketing strategies have been used in the tourism sector in Spain from the end of the 19th century to the present day, which is highly original compared to previous studies.

This paper aims to classify tourist accommodation using data from Booking.com and TripAdvisor and analyse the extent to which the different segments identified differ in terms of being adults-only.

In total, 1,535 properties located in nine Spanish sun and beach destinations were examined using a latent class cluster analysis (LCCA). The bias-adjusted three-step approach was used to investigate the differences between belonging to adults-only accommodation or not among the identified clusters.

Results show that adults-only accommodation tends to belong to the cluster with higher online ratings. In small Spanish islands, adults-only hotels account for a large share (more than 25%) of hotels.

It was not possible to analyse whether the higher rating was due to the accommodation being better or due to the tourists being more satisfied with their stay.

In urban destinations, the model is not widely used. However, in coastal destinations, it is becoming more than a novelty or a new trend.

In small Spanish islands, people traveling with children are becoming a minority. Families may feel discriminated against and express dissatisfaction with this situation in the future.

This study covers the gap in the academic literature on this growing hotel segment.

This paper presents a review concerning the analytical and inverse methods of small punch creep test (SPCT) in order to evaluate the mechanical property of component material at elevated temperature.

In this work, the effects of temperature, specimen size and shape on material properties are mainly discussed using the finite element (FE) method. The analytical approaches including membrane stretching, empirical or semi-empirical solutions that are currently used for data interpretation have been presented.

The state-of-the-art research progress on the inverse method, such as non-linear optimization program and neutral network, is critically reviewed. The capabilities of the inverse technique, the uniqueness of the solution and future development are discussed.

The state-of-the-art research progress on the inverse method such as non-linear optimization program and neutral network is critically reviewed. The capabilities of the inverse technique, the uniqueness of the solution and future development are discussed.

The purpose of this study is to explore the impact of asymmetric trust on construction project management performance in China's construction industry. Moreover, the authors explore the mediating role of two types of knowledge sharing (explicit knowledge sharing and tacit knowledge sharing) in explaining the association between asymmetric trust and project management performance.

A theoretical model based on the research hypotheses proposed in this study was developed and a questionnaire survey was conducted with 271 professionals. The data collected was analyzed by the structural equation modeling (SEM) technique.

The results of this study indicate that there is a significant and negative association between asymmetric trust and project management performance. Moreover, two types of knowledge sharing (explicit knowledge sharing and tacit knowledge sharing) have different degrees of impact on improving project management performance. In addition, tacit knowledge sharing is a mediator between asymmetric trust and project management performance.

The data used in this study is from Chinese scenarios, so the research conclusions and application effects based on this are bound to have certain regional limitations. Besides, there are many factors that affect project management performance improving, and the relationships among them are so complex. The theoretical model proposed in this study may not be fully considered. Therefore, follow-up researchers can consider bringing more suitable variables into their researches, so that the theoretical researches can be more in line with the actual project management practice, and the specific mechanism for improving project management performance can be explained more deeply.

This research's value is as follows: Firstly, this paper contributes to the trust and relational governance literature by expanding the research perspective of mutual trust to asymmetric trust. Specially, this research designs a measurement scale for asymmetric trust and then reveals the impact mechanism of it on project management performance, which will certainly promote research paradigm change of trust. Secondly, this research is beneficial to knowledge sharing literature in the construction management field by expanding the research scope of knowledge sharing from a cross-organizational perspective.