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This study aims to identify when and why receiving i-deals will result in an increase in affective commitment rather than continuance commitment. As affective commitment yields long-term benefits for organizations than continuance commitment, this work will help organizations accrue maximum benefits from granting i-deals.

This study develops a cognitive model delineating the process between i-deal receipt and the variation in i-dealers’ continuance or affective commitment.

After receiving i-deals, i-dealers’ perceived valence may change with i-dealers’ evaluations of i-deal resources under the condition of coworkers' negative reactions or organizational investment. The i-deal valence changes trigger i-dealers’ internal or external attributions of coworkers' negative reactions or organizational investment, which leads to the variation in continuance or affective commitment. The changes of affective commitment also affect the variation in continuance commitment.

Integrating expectancy theory and attribution theory, this research addresses inconsistent findings about i-deals’ effect on continuance or affective commitment by revealing the critical factors that lead to the variation in the two types of commitment. The proposed model offers new theoretical rationale for why i-dealers may not reciprocate the goodwill of i-deals to their organizations. This study suggests i-dealers will engage in attributions rather than being passive recipients of their coworkers' negative reactions, which challenges previous view that the effectiveness of i-deals is ultimately determined by coworkers' acceptance. This research also extends the i-deal dynamics literature by depicting how i-deal valence changes arise and influence continuance or affective commitment.

Despite abundant research on the negative effect of gender stereotypes on female leaders, it remains unclear whether leader competence perceived by the subordinates could overcome this backlash effect. Drawing on expectation states theory and expectancy violation theory, the authors investigate how the interaction among leaders' gender roles, leader sex and subordinates' perceived leader competence influences leader effectiveness through subordinates' affective trust.

Data were collected through two-wave surveys among 489 participants from various sectors in different parts of China. SPSS and Hayes PROCESS were used to test the hypotheses.

High competence perceived by the subordinates helps female leaders to overturn the negative effect of masculinity and strengthen the positive effect of femininity, whereas this positive moderation does not hold for male leaders.

This study addresses the ongoing debate about “female advantage” in leadership by showing that female leaders benefit from high perceived competence and are penalized by low perceived competence to a greater extent than male leaders in terms of leader effectiveness.

Robotic arms’ interactions with the external environment are growing more intricate, demanding higher control precision. This study aims to enhance control precision by establishing a dynamic model through the identification of the dynamic parameters of a self-designed robotic arm.

This study proposes an improved particle swarm optimization (IPSO) method for parameter identification, which comprehensively improves particle initialization diversity, dynamic adjustment of inertia weight, dynamic adjustment of local and global learning factors and global search capabilities. To reduce the number of particles and improve identification accuracy, a step-by-step dynamic parameter identification method was also proposed. Simultaneously, to fully unleash the dynamic characteristics of a robotic arm, and satisfy boundary conditions, a combination of high-order differentiable natural exponential functions and traditional Fourier series is used to develop an excitation trajectory. Finally, an arbitrary verification trajectory was planned using the IPSO to verify the accuracy of the dynamical parameter identification.

Experiments conducted on a self-designed robotic arm validate the proposed parameter identification method. By comparing it with IPSO1, IPSO2, IPSOd and least-square algorithms using the criteria of torque error and root mean square for each joint, the superiority of the IPSO algorithm in parameter identification becomes evident. In this case, the dynamic parameter results of each link are significantly improved.

A new parameter identification model was proposed and validated. Based on the experimental results, the stability of the identification results was improved, providing more accurate parameter identification for further applications.

This study aims to investigate the promoting effects of the quantity and quality of online review user-generated photos (UGPs) on perceived review usefulness. The research further tests the hindering effect of human facial presence in review photos on review usefulness.

Based on review samples of restaurants in a tourist destination Las Vegas, this study used an integrated method combining a machine learning algorithm and econometric modeling.

Results indicate that the number of UGPs depicting a restaurant’s food, drink, menu and physical environment has positive impacts on perceived review usefulness. The quality of online review UGPs can also enhance perceived review usefulness, whereas facial presence in these UGPs hinders perceived review usefulness.

Findings suggest that practitioners can implement certain tactics to potentially improve consumers’ willingness to share more UGPs and UGPs with higher quality. Review websites could develop image-processing algorithms for identifying and presenting UGPs containing core attributes in prominent positions on the site.

To the best of the authors’ knowledge, this study is the first to present a comprehensive analytical framework investigating the enhancing or hindering roles of review photo quantity, photo quality and facial presence in online review UGPs on review usefulness. Using the heuristic-systematic model as a theoretical foundation, this study verifies the additivity effect and attenuation effect of UGPs’ visual elements on judgements of online review usefulness. Furthermore, it extends scalable image data analysis by adopting a deep transfer learning algorithm in hospitality and tourism.

By using an integrated theoretical analysis model and a practice analysis model, this study constructed an evaluation indicator system for public participation in post-disaster housing reconstruction.

This study investigated and summarised the public participation of earthquake victims in house building in Dujiangyan. A total of 16 analysis elements were proposed, including the subject and object for evaluation. A mixed qualitative and quantitative evaluation model was established.

The implementation results indicated that this evaluation index system was objective oriented and had public policy attributes. The index can effectively reflect the diverse needs of disaster victims, address multiple social aspects and evaluate and rate public participation.

This paper proposed a mixed research method that integrates analysis processes, such as theories and practical investigation, which are the pillars of public participation evaluation. The evaluation indicators had quantitative characteristics.

City wall is an important symbol of ancient Chinese cities with unique geographical and cultural characteristics. Thus, the preservation of this historic landmark is considered significantly important. However, numerous residential construction activities and changes in ecological environment have destructed a great portion of the city walls in recent years. This study looks into the preservation of the ancient city walls from the systematic perspective and in line with the actual characteristics of Longdong Region to provide guideline measures for the protection and restoration of such landmark. Cognition and preservation are adopted extensively to investigate the specific situation of and the factors that influence the ancient city walls in this region. Preservation strategies for the city walls, including the “Axis-Point” system, planning control, and authenticity readability, are presented. The ancient city walls in Longdong Region can be preserved by protecting the entire region, the city, and the main wall body. The systematic method and preservation strategies at the “macro perspective,” “medium perspective” and “micro perspective” levels can solve the preservation problems of the ancient city walls in Longdong Region effectively.

The purpose of this paper is to develop a numerical simulation method based on the transient upstream finite element method (FEM) and Schottky emission theory to reveal the distribution characteristics of space charge in oil-paper insulation.

The main insulation medium of the converter transformer in high voltage direct current transmission is oil-paper insulation. However, the influence of space charge is difficult to be fully considered in the insulation design and simulation of converter transformers. To reveal the influence characteristics of the space charge, this paper proposes a numerical simulation method based on Schottky emission theory and the transient upstream FEM. This method considers the influence of factors, such as carrier mobility, carrier recombination coefficient, trap capture coefficient and diffusion coefficient on the basis of multi-physics field coupling calculation of the electric field and fluid field.

A numerical simulation method considering multiple charge states is proposed for the space charge problem in oil-paper insulation. Meanwhile, a space charge measurement platform based on the electrostatic capacitance probe method for oil-paper insulation structure is built, and the effectiveness and accuracy of the numerical simulation method is verified.

A variety of models are calculated and analyzed by the numerical simulation method in this paper, and the distribution characteristics of the space charge and total electric field in oil-paper insulation medium with single-layer, polarity reversal of plate voltage and double-layer are obtained. The research results of this paper have the guiding significance for the engineering application of oil-paper insulation and the optimal design of converter transformer insulation.