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The purpose of this paper is to investigate the relationship between service fairness and customer satisfaction, and test the mediation role of customer psychological empowerment in this relationship.

A cross-sectional empirical study is designed to test the research model. Customers of retail bank in South China are surveyed. Regression analysis and structural equation model analysis are done with SPSS 21.0 and LISREL 8.72 separately.

The results indicate that: first, service fairness increases customer satisfaction. Specifically, distributive fairness, procedural fairness and interactional fairness affect customer satisfaction positively and directly, while informational fairness affects customer satisfaction indirectly. Second, customer psychological empowerment fully mediates the relationship between informational fairness and customer satisfaction, while plays a partial mediating role between distributive fairness, procedural fairness, interactional fairness and customer satisfaction. Third, four kinds of service fairness have different influences on three dimensions of customer psychological empowerment.

The findings provide suggestions for managers to improve customer psychological empowerment by treating customer fairly, and to increase customer satisfaction through empowering customer in services, especially for state-owned banks.

It is recognized that service fairness leads to customer satisfaction in marketing literature; however, the empirical research studies about this are rare. This research not only contributes to service fairness theory, but also enriches our understanding of customer empowerment in service process.

Autonomous mobile robots (AMRs) play a crucial role in industrial and service fields. The paper aims to build a LiDAR-based simultaneous localization and mapping (SLAM) system used by AMRs to overcome challenges in dynamic and changing environments.

This research introduces SLAM-RAMU, a lifelong SLAM system that addresses these challenges by providing precise and consistent relocalization and autonomous map updating (RAMU). During the mapping process, local odometry is obtained using iterative error state Kalman filtering, while back-end loop detection and global pose graph optimization are used for accurate trajectory correction. In addition, a fast point cloud segmentation module is incorporated to robustly distinguish between floor, walls and roof in the environment. The segmented point clouds are then used to generate a 2.5D grid map, with particular emphasis on floor detection to filter the prior map and eliminate dynamic artifacts. In the positioning process, an initial pose alignment method is designed, which combines 2D branch-and-bound search with 3D iterative closest point registration. This method ensures high accuracy even in scenes with similar characteristics. Subsequently, scan-to-map registration is performed using the segmented point cloud on the prior map. The system also includes a map updating module that takes into account historical point cloud segmentation results. It selectively incorporates or excludes new point cloud data to ensure consistent reflection of the real environment in the map.

The performance of the SLAM-RAMU system was evaluated in real-world environments and compared against state-of-the-art (SOTA) methods. The results demonstrate that SLAM-RAMU achieves higher mapping quality and relocalization accuracy and exhibits robustness against dynamic obstacles and environmental changes.

Compared to other SOTA methods in simulation and real environments, SLAM-RAMU showed higher mapping quality, faster initial aligning speed and higher repeated localization accuracy.

Integrating tourism and sustainability in achieving an eco-friendlier industry, this chapter highlights current trends in sustainable tourism, both in hospitality and recreational activities. The chapter describes sustainable, tourism, hospitality, and recreation trends. The research analyzes the origin of these trends, the vast majority motivated by the aftermath of the pandemic.

On a world basis, 15% of the population has a disability. Having a disability can result in a higher frequency of health-related information needs than other users might experience. The Web represents a widely used source for health information. People with disabilities, however, often encounter barriers during online searching, such as inaccessible information, poorly designed search user interfaces and lack of compatibility with assistive technology. Consequently, many users are potentially excluded from a range of information sources. Measures are therefore needed to remove these barriers to avoid health disparities that can result from unequal access to information. Public libraries have a social responsibility to include all user groups, and should aspire to make fully accessible services. A good tool in this context is the implementation of the universal design mind-set, where the purpose is to develop services that are available to all people. This chapter discusses how universal design can be a premise for equal access to health information and potentially reduce health disparities in the context of users with disabilities. Both library services and education of librarians will be addressed.

The purpose of the paper is to examine observed differences in China's ethnic majority and minority patterns of labor force participation and to decompose these differences into treatment and endowment effects.

Data from the three most recent population censuses of China are employed to explore differences in the labor force participation rates of a number of China's important ethnic groups. Gender‐separated urban labor force participation rates are estimated using logit regressions, controlling for educational attainment, marital status, pre‐school and school‐age children, household size, age, and measures of local economic conditions. The focus is on the experience of six minority groups (Hui, Koreans, Manchu, Mongolians, Uygurs, and Zhuang) in comparison to the majority Han. The technique developed by Borooah and Iyer is adopted to decompose the differences in labor force participation rates between pairs of ethnic groups into treatment and endowment effects.

Sizeable differences are found between the labor force participation rates of prime‐age urban women of particular ethnic groups and the majority Han. Men's participation rates are very high (above 95 percent) and exhibit little difference between Han and ethnic minorities. For almost all pairwise comparisons between Han and ethnic women, it is found that differences in coefficients account for more than 100 percent of the Han‐ethnic difference in labor force participation. Differences in endowments often have substantial effects in reducing this positive Han margin in labor force participation. Roughly speaking, treatment of women's characteristics, whether in the market or socially, tend to increase the Han advantage in labor force participation. The levels of these characteristics on average tend to reduce this Han advantage.

The paper analyses only one aspect of the economic status of China's ethnic minorities – labor force participation. It would be useful also to examine income, educational attainment, occupational attainment, and unemployment.

This paper contributes to and expands the scant literature on ethnicity in China's economic transition.

As a cornerstone of team performance, learning depends on each member’s mindset. Drawing on implicit theories of intelligence, the purpose of this study is to investigate the relationships among individual members’ mindsets and shared leadership (SL) behaviors in design teams and the mediation role of team growth mindset (TGM) on that relationship.

The authors analyzed survey results based on individuals who participated in an international design competition. To test the hypothesized model, the data was analyzed by using SEM using Mplus 7.

The results indicated that an individual growth mindset (IGM; but not an individual-fixed mindset) has significant and positive direct effects on a team growth mindset and SL behaviors. In addition, a TGM mediates the relationship between an IGM and SL.

The research discusses several theoretical and practical implications for human resource development professionals and scholars to improve understanding of a TGM and its influence on individual mindsets and SL behaviors.

As megaprojects bear extensive and profound social responsibilities throughout the project life cycle, formulating effective measures for improving construction enterprise social responsibility is key to project success. Given the current research is relatively lack of these measures, this study aims to formulate a meta-network framework to improve the megaproject social responsibility behaviour (MSRB) for construction enterprises.

First, this study implements literature review, expert interview and field investigation to identify the construction enterprise MSRB and its influencing factors. Second, this study evaluates the MSRB implementation level of the selected construction enterprises and proposes the above mentioned meta-network framework. Next, this meta-network is configured to reflect the impact of MSRB strategic adjustment. Last but not least, a real-world case study is carried out to validate this framework.

The best MSRB performance is always witnessed from the contractor group, followed by the project client group and the site supervisor group. The outcomes of implementing certain managerial strategies indicate that (1) social responsibility cognition is a critical factor for all the groups; (2) communication mechanism and normative pressure are the critical factors for clients; (3) coercive pressure is a critical factor for supervisors and (4) cultural cognitive pressure is a critical factor for clients and contractors.

The use of the framework in proactive assessment and management of MSRB can lead to effective strategies for construction enterprises to increase the efficiency and quality of projects.

Companies are adopting a more active role in managing their online reputations by using electronic word of mouth (eWOM) and often responding directly to customer reviews. Therefore, companies need to understand the effects of management responses to customer reviews. This study aims to explore whether it is worth responding to reviews and whether expressing gratitude enhances the effects of review responses.

This study uses customer reviews and management response data from a sample of 766 Spanish rural lodging establishments listed on Toprural (www.toprural.com). Analyses are undertaken with NVivo and SmartPLS.

Responding to negative reviews improves lodging establishments’ average ratings, but responding to positive reviews has no significant direct effect. Expressing gratitude in responses positively moderates the effects of review responses; this moderating effect is more significant for responses to negative than to positive reviews.

Previous research provides contradictory evidence about the positive outcomes of a company’s responses; it also does not address expressions of gratitude. This research provides evidence of the direct effects of management response quantity on ratings. It also expands current research on the content characteristics of these responses. The contextual setting for this research, rural tourism, is a key driver of sustainable rural development and a sector in which eWOM is especially relevant; thus, correctly managing the eWOM phenomenon becomes crucial.

Al objeto de mejorar su reputación online, las empresas progresivamente están adoptando un papel más activo ante las reseñas online de los clientes, ofreciendo respuestas online a dichas reseñas. Por tanto, es necesario que las empresas conozcan mejor los efectos de responder online. Este estudio examina si resulta beneficioso responder a las reseñas y si expresar agradecimiento potencia el efecto de responder.

A partir de datos sobre reseñas online de clientes y respuestas de la empresa, correspondientes a una muestra de 766 alojamientos de turismo rural de Toprural (www.toprural.com), se realizan análisis con NVivo y SmartPLS.

Responder a reseñas negativas mejora las puntuaciones medias del establecimiento en Toprural. Sin embargo, responder a reseñas positivas no tiene un efecto directo significativo. Además, expresar agradecimiento en las respuestas modera positivamente el efecto de responder. No obstante, esta moderación es más intensa en el caso de respuestas a reseñas negativas frente a las reseñas positivas.

La investigación previa aporta evidencia contradictoria sobre los efectos de la intensidad de respuesta empresarial a las reseñas online; además, no se ocupa de la expresión de gratitud en particular. Este estudio aporta luz respecto al efecto directo de la intensidad de respuesta sobre las puntuaciones online y amplía la investigación actual sobre las características de contenido de las respuestas. El marco de estudio, el turismo rural, se considera clave para un desarrollo rural sostenible y constituye un escenario donde el boca-oído electrónico es especialmente importante; en consecuencia, gestionar correctamente el fenómeno es crucial.

Palabras clave Boca-oído electrónico, Respuesta empresarial, Reputación online, Turismo rural

Tipo de artículo Trabajo de investigación

Complex mechanical 3D computer-aided design (CAD) model embodies rich implicit design knowledge. Through discovering the key function parts and key function module in 3D CAD assembly model in advance, it can promote the designers’ understanding and reuse efficiency of 3D assembly model in design reuse.

An approach for discovering key function module in complex mechanical 3D CAD assembly model is proposed. First, assembly network for 3D CAD assembly model is constructed, where the topology structure characteristics of 3D assembly model are analyzed based on complex network centrality. The degree centrality, closeness centrality, betweenness centrality and mutual information of node are used to evaluate the importance of the parts in 3D assembly model. Then, a multi-attribute decision model for part-node importance is established, and the comprehensive evaluation for key function parts in 3D assembly model is accomplished by combining Analytic Hierarchy Process and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). Subsequently, a community discovery of function module in assembly model-based Clauset–Newman–Moore (CNM)-Centrality is given in details. Finally, 3D CAD assembly model of worm gear reducer is taken as an example to verify the effectiveness and feasibility of proposed method.

The key function part in CAD assembly model is evaluated comprehensively considering assembly topology more objectively. In addition, the key function module containing key function part is discovered from CAD assembly model by using CNM-Centrality-based community discovery.

The approach can be used for discovering important design knowledge from complex CAD assembly model when reusing the assembly model. It can help designers capture and understand the design thinking and intent, improve the reuse efficiency and quality.

The paper first proposes an approach for discovering key function module in complex mechanical 3D CAD assembly model taking advantage of complex network theory, where the key function part is evaluated using node centrality and TOPSIS, and the key function module is identified based on community discovery.