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Interest in the Electronic Word-of-Mouth (eWOM) in connection with tourism is constantly growing not only among consumers but also among theoreticians. Therefore, the objective of this chapter is to provide an overview of studies that focus on eWOM in the tourism sector using the snowball method. The article is based on a review of the literature of 60 studies that focus not only on consumer behavior in tourism and the impact of eWOM on tourism supply but also on the impact of hotel managers' responses to other consumer behavior and tourism companies. The results of the studies show that eWOM has a significant impact not only on consumer behavior but also on tourism supply. Manager responses can also strongly affect other consumer behavior in decision-making. When eWOM is distributed, consumers are influenced by their emotions, motives, and also by the websites to which they have decided to contribute. The chapter proposes further research areas for different authors.

This study aims to focus on understanding how the characteristics of the bed and breakfast (B&B) host responses to online reviews impact the subsequent business performance of review volume, including volume, timeliness and length of responses.

The study constructs a theoretical framework to model for the relationships among characteristics of the B&B host responses, heterogeneity of B&B houses and subsequent reviews. The model is then examined by an econometric model using data from Ctrip.com.

Prompt and lengthy responses to online reviews increase the number of subsequent reviews, and the effects are larger for higher level houses. The main theoretical contribution is to build a model explaining how multiple attributes of the host responses can affect business performance and how these effects are moderated by the class levels of B&B houses, which are empirically tested by real data.

This study highlights managerial implications of host responses for online B&B business practices. For the higher-quality B&B houses, based on price and reviews, lengthy and timely responses are necessary, as tourists expect increased customer service from these hosts.

The research provides insights in understanding the mechanism of B&B host responses on subsequent reviews. To the best of the authors’ knowledge, this is the first study to demonstrate the moderating effect of price and volume of online reviews on responses.

共享民宿房主对在线评论的反应如何影响后续评论：房屋等级的调节效应

本研究旨着重探讨民宿房主对网上评论的回应特性如何影响评论量的后续经营绩效, 包括回复数量、及时性和回复的长度。

方法 -- 本研究首先构建理论框架, 对民宿房主的在线回应特征、民宿房屋的异质性特征与后续评论之间的关系进行建模。该模型通过一个计量经济学模型对从携程网收集的数据进行了检验.

研究结果 -- 本研究的结果显示, 对在线旅游评论提供及时和冗长的回复, 可能会增加未来的预订数量, 从而增加后续的评论,并且这个影响随着房屋等级的提高而增加。本文的主要理论贡献是建立一个模型来解释房屋主人在线回应的多重属性如何影响他们的经营绩效, 以及这些影响是如何被房屋等级所调节的,并通过真实数据对理论进行了验证。

研究意义 -- 该研究有助于将研究重点从在线评论和口碑转移到管理层的回应效应。我们的研究结果印证了之前的研究关于评论量可以影响口碑信息说服力及其他口碑相关特征（如管理层回应）影响的结论。

管理启示 -- 本研究的结果, 向民宿房主提供了具体的管理启示, 为网上民宿商业管理提供参考。对于价格更高、在线声誉较高的B&B房屋, 应提供更多及时的回应, 因为游客期望得到更友好的客户服务。

原创性 -- 这项研究提供了关于民宿房主在线回应对后续评论量影响机制的探索。并将是首次尝试验证价格和在线评论量对在线回复影响的调节作用。

Entendiendo cómo las respuestas de los dueños de establecimientos de B&B a las opiniones de los turistas en línea promoverán las opiniones subsiguientes: Los efectos moderadores del nivel de clase de los establecimientos de B&B

Resumen

Propósito -- Este estudio se centra en comprender cómo las características de las respuestas de los anfitriones de alojamientos B&B influyen en el rendimiento empresarial de volumen de reseñas; esto incluye el número de respuestas, la puntualidad de la respuesta y la duración de la misma.

Metodología -- En primer lugar, el estudio construye un marco teórico para establecer un modelo de relación entre las características de las respuestas de los anfitriones de alojamientos, heterogéneos de alojamientos B&B y las revisiones posteriores. A continuación, el modelo es examinado por un modelo econométrico a partir de los datos recogidos en ctrip.com.

Resultados -- Se ha demostrado que las respuestas rápidas y extensas a las reseñas en línea pueden aumentar potencialmente el número de reseñas posteriores, y tuvieron un mayor impacto en las viviendas de gran altura. La principal contribución teórica de este trabajo es construir un modelo para explicar cómo los múltiples factores de la respuesta de los anfitriones pueden afectar a su rendimiento empresarial y cómo estos efectos son moderados por las nivel de los alojamientos B&B, través de los datos reales de la prueba empírica.

Implicaciones prácticas -- Proporciona una referencia para la práctica empresarial de los alojamientos B&B en línea, al informar sobre las implicaciones específicas de gestión para los anfitriones de alojamientos B&B. En el caso de las casas de alojamientos B&B de mayor nivel, con precios más altos y más reseñas en línea, se deberían dar más respuestas oportunas, ya que los turistas esperan de los anfitriones un servicio de atención al cliente más amable.

Originalidad -- La investigación permite comprender el mecanismo de las respuestas de los anfitriones de alojamientos B&B en las reseñas posteriores. Sería el primer intento de demostrar el efecto moderador del precio y el volumen de las reseñas en línea sobre el impacto de las respuestas.

The concept of bleisure is a tourism term that has emerged recently and has become popular. Participation of employees, especially managers and people in business who go on business trips, in leisure activities during their full-time business trips has revealed the bleisure trend. Although bleisure has emerged as a term in recent years, it has been seen that people combine vacations and business trips in previous years.

Considering the research on bleisure tourism, it is thought that bleisure tourism can be helpful to increase employee productivity. The fact that individuals who go on business trips very often are away from their family or friends can create a social deformation. However, people who go on business trips within the scope of bleisure tourism sometimes can take their close friends or family members with them. This provides extra motivation for bleisure tourists and increases work efficiency. However, it is beneficial to plan bleisure tourism. Excessive entertainment or shopping can lead to distraction, being late for work and being over budget on a business trip. For this reason, bleisure should be planned jointly with tourism agencies and companies.

Bleisure tourism will benefit business travellers, travel companies, hotels, restaurants, other tourism businesses and local people. For this reason, it is necessary to focus on studies related to bleisure tourism, a new tourism trend.

There are many investigations in design methodologies, but there are also divergences and convergences as there are so many points of view. This study aims to evaluate to corroborate and deepen other researchers’ findings, dissipate divergences and provide directing to future work on the subject from a methodological and convergent perspective.

This study analyzes the previous reviews (about 15 reviews) and based on the consensus and the classifications provided by these authors, a significant sample of research is analyzed in the design for additive manufacturing (DFAM) theme (approximately 80 articles until June of 2017 and approximately 280–300 articles until February of 2019) through descriptive statistics, to corroborate and deepen the findings of other researchers.

Throughout this work, this paper found statistics indicating that the main areas studied are: multiple objective optimizations, execution of the design, general DFAM and DFAM for functional performance. Among the main conclusions: there is a lack of innovation in the products developed with the methodologies, there is a lack of exhaustivity in the methodologies, there are few efforts to include environmental aspects in the methodologies, many of the methods include economic and cost evaluation, but are not very explicit and broad (sustainability evaluation), it is necessary to consider a greater variety of functions, among other conclusions

The novelty in this study is the methodology. It is very objective, comprehensive and quantitative. The starting point is not the case studies nor the qualitative criteria, but the figures and quantities of methodologies. The main contribution of this review article is to guide future work on the subject from a methodological and convergent perspective and this article provides a broad database with articles containing information on many issues to make decisions: design methodology; optimization; processes, selection of parts and materials; cost and product management; mechanical, electrical and thermal properties; health and environmental impact, etc.

The purpose of this paper is to focus on how to automatically generate the individualized patterns for women’s suits based on the 3D body point-cloud images.

With the software Imageware, the point-cloud data of the female body were measured according to the female body feature to obtain the heights, widths, depths and girths at various landmarks. Then the relationship between the height of each landmark and the body height was analyzed to build the height calculation rules by software SPSS, and the prediction models of body girths were established from the body widths and depths using regression analysis for pattern generation.

The pattern generation rules were built with the relationships between a human body and the garment patterns using the graphic flattening method. Based on the above rules, the final patterns were drafted automatically by using these dimensions to fit the subjects. The try-on experiment also showed that the individualized suits could fit the subjects’ body well at some feature landmarks.

In order to realize tailor-made and meet the consumers’ demands for individualized clothes, the development of garment CAD system has become inevitable in the garment industry. This paper could provide the foundation for automatic pattern generation, and technical support for tailor-made.

This paper aims to propose an efficient and accurate method to analyse the transient heat conduction in a periodic structure with moving heat sources.

The moving heat source is modelled as a localised Gaussian distribution in space. Based on the spatial distribution, the physical feature of transient heat conduction and the periodic property of structure, a special feature of temperature responses caused by the moving heat source is illustrated. Then, combined with the superposition principle of linear system, within a small time-step, computation of results corresponding to the whole structure excited by the Gaussian heat source is transformed into that of some small-scale structures. Lastly, the precise integration method (PIM) is used to solve the temperature responses of each small-scale structure efficiently and accurately.

Within a reasonable time-step, the heat source applied on a unit cell can only cause the temperature responses of a limited number of adjacent unit cells. According to the above feature and the periodic property of a structure, the contributions caused by the moving heat source for the most of time-steps are repeatable, and the temperature responses of the entire periodic structure can be obtained by some small-scale structures.

A novel numerical method is proposed for analysing moving heat source problems, and the numerical examples demonstrate that the proposed method is much more efficient than the traditional methods, even for larger-scale problems and multiple moving heat source problems.

This case is suitable for undergraduates, MBA students and students from business administration departments in the teaching of human resources management and performance management.

Luodian Electric Power Construction Corporation Group (LEPCC Group) is a state owned enterprise transformed from a construction unit of Luopu Power Supply Bureau (LPSB), a governmental organization in charge of all the electricity supply in Luopu City. The general manager of LEPCC, Gu Ming tried to set up a modern market-oriented management system for LEPCC. Unfortunately the problems that had accumulated in the past two decades during which LEPCC was a governmental organization made his reforms very difficult. The first headache for Gu Ming was the performance appraisal reform in LEPCC. The existing performance appraisal system seemed to have at least three problems in practice: unclear appraisal objectives, an improper assessment system, a different appraisal standard for similar positions. What should Gu Ming do to build a proper performance appraisal system to help the fast-growing LEPCC Group to make LEPCC a competitive market-oriented player?

The first objective of this case is to enable students to understand that the issues of working performance are issues of people first, rather than issues of the management system. If the management focuses on the system instead of on the staff of the company to design the performance management system, the system will be fruitless and inefficient. The second objective is to cultivate students' capability to apply the basic theories of human resource management and the knowledge of performance appraisal in case analysis and practical management. This case, seemingly about performance appraisal, is in fact about the organizational structure and processes of the organization. Reform should start with organizational analysis, job analysis and job descriptions. Only when all these have been done correctly, can the performance management system be designed more reasonably, scientifically and efficiently.

Teaching notes are available; please consult your librarian for access.

This paper aims to empirically investigate how cognitive biases influence employees' product creativity (EPC) and related product performance. In particular, the paper primarily studies (1) the direct effect of employees' implicit creativity – based on five cognitive biases – and explicit creativity on EPC; and (2) the mediating role of coworkers' heuristic transfer between shared leadership and EPC.

Data have been obtained from big Italian manufacturing technology firms through a series of online questionnaires that resulted in 555 answers from R&D employees and their direct managers, who are, respectively, involved and responsible for the proposal of manufacturing technology products. The developed four theoretical hypotheses have been tested through correlation analysis, hierarchical regression, mediation analysis and structured equation modelling.

Cognitive biases positively influence EPC in manufacturing technology firms, leading to positive product performance. In particular, implicit creative personality better predicts EPC than explicit creative personality; whilst, shared leadership leads to a cognitive convergence among co-workers through the spread of heuristics that positively influence EPC.

The originality of this work lies in having: (1) investigated the influence of cognitive biases in creativity, (2) hypothesized and proved that co-workers' heuristic transfer mediates the relationship between shared leadership and EPC; (3) conducted the first specific study on employees' creativity in manufacturing technology firms; and (4) first implemented the implicit creative personality measurement, apart from those who conceptualized it.

With the increasing demand for lightweight parts, the quality of the inner structure gained growing attention from different kinds of fields. As the quality of the overhanging surface was one of the most important factors affecting inner structure formation, its quality still needs to improve. This paper aims to clarify the change of the overhanging surface quality caused by different bending angles.

The structure of the inner hole was redesigned according to the different performances of the overhanging and side inner surface. The experimental results revealed why different surface qualities can be seen under different bending angles. According to the experimental data, the inner structure was redesigned to increase its overall performance.

The results revealed that when the bending angle was small, the slope of the overhanging surface increased which lead to the decreasing length of the powder-supported layer. However, less space on bending angle resulted in the accumulation of unmelted powder which leads to the increasing of sinking distance. When the bending angle was too large, the slope of the overhanging surface decreased and the length of the molten pool which was supported by powder increased. It resulted in the sinking of the molten pool caused by the gravity of powder and its attachment.

This paper is the first work to study the relationship between bending angle and overhanging surface quality as far as the authors know. The different performances of left and right overhanging surfaces also have not been revealed in other research studies to the best of the knowledge.

Lubricating oil leakage is a common issue in thermal power plant operation sites, requiring prompt equipment maintenance. The real-time detection of leakage occurrences could avoid disruptive consequences caused by the lack of timely maintenance. Currently, inspection operations are mostly carried out manually, resulting in time-consuming processes prone to health and safety hazards. To overcome such issues, this paper proposes a machine vision-based inspection system aimed at automating the oil leakage detection for improving the maintenance procedures.

The approach aims at developing a novel modular-structured automatic inspection system. The image acquisition module collects digital images along a predefined inspection path using a dual-light (i.e. ultraviolet and blue light) illumination system, deploying the fluorescence of the lubricating oil while suppressing unwanted background noise. The image processing module is designed to detect the oil leakage within the digital images minimizing detection errors. A case study is reported to validate the industrial suitability of the proposed inspection system.

On-site experimental results demonstrate the capabilities to complete the automatic inspection procedures of the tested industrial equipment by achieving an oil leakage detection accuracy up to 99.13%.

The proposed inspection system can be adopted in industrial context to detect lubricant leakage ensuring the equipment and the operators safety.

The proposed inspection system adopts a computer vision approach, which deploys the combination of two separate sources of light, to boost the detection capabilities, enabling the application for a variety of particularly hard-to-inspect industrial contexts.