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Current virtual simulation platforms provide various tools to generate non-immersive simulation processes purposefully in different domains. The generated simulation processes are adopted for analysis, presentation, demonstration and verification. In the virtual maintenance domain, this intuitive and visual method has benefitted product maintainability design and improvement. Generating an ideal and reasonable non-immersive virtual maintenance simulation is always time-consuming because of the complicated human operations and logical relationships involved. This study aims to propose a semiautomatic approach to increase efficiency in non-immersive virtual maintenance simulation implementation.

The methodology analyzes the general catalogs of common maintenance tasks and explores the corresponding secondary development approaches of simulation tools that can achieve motion simulation in virtual environments, by focusing on the diversity, complexity and uncertainty in non-immersive virtual simulation process generation. Afterward, a single virtual human motion can be generated by controlling the parameters and indices of the simulation tools. Subsequently, all of the generated single motions are connected logically to simulate the entire maintenance process.

Instead of selecting various tools, such as that in a traditional method, the proposed methodology analyzes and integrates the necessary basic parameters considering the characteristics of virtual maintenance simulation for a target maintenance activity.

The user can control the predefined parameters to generate the simulation combining several other simple operations in virtual environments. Consequently, the methodology decreases simulation tool selection and logic consideration and increases efficiency to a certain extent in non-immersive virtual maintenance simulation generation.

Virtual maintenance simulation is of great importance to help designers find and avoid design problems. During its simulation phase, besides the high precision requirement, collision detection must be suitable for all irregular objects in a virtual maintenance environment. Therefore, in this paper, a collision detection approach is proposed based on encapsulation for irregular objects in the virtual maintenance environment.

First, virtual maintenance simulation characteristics and several commonly used bounding boxes methods are analyzed, which motivates the application of encapsulation theory. Based on these, three different encapsulation methods are oriented to the needs of simulation, including encapsulation of rigid maintenance objects, flexible maintenance objects and maintenance personnel. In addition, to detecting collisions accurately, this paper divides the detection process into two stages. That is, in the first stage, a rough detection is carried out and then a tiny slice space is constructed to generate corresponding capsule groups, which will be redetected in the secondary stage. At last, several case studies are applied to illustrate the performance of the methodology.

The automatic construction algorithm for bounding boxes can be adapted to all forms of objects. The number of detection primitives are greatly reduced. It introduces the reachable space of the human body in maintainability as the collision search area.

The advantages of virtual maintenance simulation could also be advantageous in the industry with further studies. The paper believes this study is of particular interest to the readers of your journal.

Maintainability is a critical design characteristic that shows how well a product can be maintained; maintenance time is a comprehensive parameter of product maintainability design. This paper aims to provide an integrated methodology for complex product maintainability verification and maintenance time prediction using virtual prototypes and humans in a virtual dynamic simulation of the maintenance process.

An integrated platform for maintainability verification and maintenance time prediction is designed. Decomposition of maintenance tasks, corrective measurement time method, and an impact matrix of maintenance therbligs and time are presented.

The proposed methodology can efficiently conduct complex product maintainability verification and maintenance time prediction.

Early and effective verification and prediction of the maintainability and maintenance time program can significantly improve the maintainability and availability of a complex product.

A universally applicable method for product maintainability verification and maintenance time prediction is presented.

Maintainability, as an intrinsic property that shows how well a product can be maintained, should be strictly controlled in the design stage. Maintenance space is an important aspect of maintainability and should be verified in the design stage. Methods to verify maintenance space based on expert knowledge or vision cone have been proposed. However, no proper quantitative solutions have been proposed yet to verify maintenance space in the design stage. This paper aims to provide a new method to evaluate quantitatively the maintenance space in a virtual environment by using the swept volume (SV).

An integrated platform for quantitatively evaluating maintenance space in a virtual environment is designed. Virtual reality technology and digital prototype are used to overcome the shortage of physical prototypes in the design stage. SVs are applied to represent the movement of the hand along the entire maintenance process. Maintenance operations are divided into three basic types. Each type of basic operation refers to two quantitative indexes, namely the surface area and the volume of the SV of the maintenance personnel. Data on the indexes are gathered and calculated to evaluate maintenance space.

The proposed methodology can evaluate feasibly and efficiently the maintenance space determined by the layout design of product components in the design stage.

Application of the proposed method can help designers reduce the shortness of maintenance space and improve the design layout of products.

A method to evaluate maintenance space that employs a quantitative combination of virtual environment and swept volume is pressed.

This study aims to propose an integrated moderated mediation model to examine the process by which hotels obtain competitive advantage from the perspective of hotel managers.

After obtaining the agreement of the participants, a total of 560 candidates, all of whom were hotel managers, completed a survey administered online over a three-month period from November 2020 to January 2021. Ultimately, 257 valid responses were obtained after data screening by research assistants, for a response rate of 45.89%.

By reference to the concepts of big data (BD) and sustainability, the results show that BD management is a foundational attribute with respect to the indirect effects of BD analytics capabilities via proactive market orientation and social media collaboration. Furthermore, sustainability commitments and marketing are found to affect the relationship between such analytics capabilities and competitive advantage. Additionally, information sharing and food services have positive moderating effects that strengthen the changes in critical attributes during the process of obtaining competitive advantage.

To date, despite the proliferation of the concepts of BD, social media and sustainability, there is a lack of adequate empirical evidence and systematic literature reviews to comprehensively synthesize the emerging body of literature in the fields of tourism and hospitality research.

本研究于2020年11月到2021年1月的三个月期间, 在取得560位饭店管理者的同意后, 让他们完成了在线问卷调查。最终, 经过研究助理的数据筛选后, 收集到257份有效问卷, 有效回收率为45.89%。

本研究提出了一个调节式中介模型, 透过酒店管理者的角度来探讨酒店获得竞争优势的过程。

研究结果显示, 大数据管理透过参考大数据和永续的概念, 探讨主动式市场导向和社交媒体协作对大数据分析能力产生间接影响的基本重要归因。此外, 永续承诺和行销会影响分析能力与竞争优势之间的关系。再者, 信息共享和食品服务的关系起着显著的调节作用, 在获得竞争优势的过程中加强了关键属性间的关系。

迄今为止, 尽管大数据、社交媒体和永续的概念逐渐受到重视, 但仍缺乏足够的实证和系统性文献综整来阐逑观光餐旅研究文献缺憾。

Tras obtener el consentimiento de los participantes, un total de 560 candidatos, todos directores de hotel, completaron una encuesta online en un período de tres meses, desde noviembre de 2020 hasta enero de 2021. Finalmente, se obtuvieron 257 respuestas válidas tras un proceso de comprobación por los técnicos de investigación, lo que supone una tasa de respuesta del 45,89%.

Este estudio propone un modelo de mediación moderado integrado para examinar el proceso por el cual los hoteles obtienen ventajas competitivas desde la perspectiva de los directores de hotel.

Haciendo referencia a los conceptos de macrodatos y sostenibilidad, los resultados muestran que la gestión de macrodatos es un atributo fundamental para los efectos indirectos de las capacidades analíticas de macrodatos a través de la orientación proactiva al mercado y la colaboración en los medios sociales. Además, se observa que los compromisos de sostenibilidad y el marketing afectan a la relación entre dichas capacidades analíticas y la ventaja competitiva. Asimismo, el intercambio de información y los servicios de alimentación tienen efectos moderadores positivos que fortalecen los cambios en los atributos críticos durante el proceso de obtención de una ventaja competitiva.

Hasta la fecha, a pesar de la proliferación de los conceptos de macrodatos, medios sociales y sostenibilidad, se carece de evidencia empírica adecuada y de revisiones bibliográficas sistemáticas que sinteticen de forma exhaustiva la literatura emergente en los campos de investigación del turismo y la industria hotelera.

This paper aims to investigate the tribological performance of the decanter cake feedstock biodiesel which was blended in 5 and 10 per cent volume with petroleum diesel.

The tribological performance of the decanter cake biodiesel was tested using the modified ASTM D4172 standard with temperature range from 300°C to 750°C and load range from 392 to 981 N while spindle speed is at 1,200 rpm.

At 5 per cent volume of biodiesel, friction reduced ranging from 10 to 45 per cent at all temperature and load ranges, whereas specific wear rate reduced ranging from 22 to 29 per cent at low load and 4 per cent to 15 per cent at high load for all temperature ranges. Addition up to 10 per cent volume of biodiesel reduced friction ranging from 10 to 35 per cent at all temperature and load ranges, whereas specific wear rate reduced ranging from 15 to 29 per cent only at low load for all temperature ranges.

The standardised test may not represent the actual condition of a real running diesel engine.

Because the lubricity of biodiesel was difficult to determine in a real running engine, this paper provided a standardised test for simplification.

Organizations have varied levels of success with Lean implementation and many did not see tangible results. Some scholars believe the reason has to do with weak Lean culture or Lean values (LVs). The purpose of this paper is to study the relationship between Lean implementation practices and LVs. The research goes further to study the nature of this relationship; does LVs affect Lean practices only or do they affect each other in a reciprocal manner?

Literature regarding Lean implementation in various sectors was reviewed. Representatives from several organizations were surveyed. Results from both approaches are compared and presented to highlight the key challenges and drivers facing Lean implementation.

Lean works well on enhancing organization performance (OP) but the implementation has to be preceded by careful nourishment of the proper Lean culture and LVs. The relationship between Lean implementation and LVs is of a complex nature and driven by OP.

The study has important managerial implications that is if Lean is going to be sustained, continuous efforts has to be exerted by Lean professionals to engage leaders and decision makers in the organization and ensure proper values are nurtured.

This is the first study to examine the reciprocal relationship between Lean implementation practices and LVs while focusing on OP by employing a structural statistical model.

The purpose of this study was to explore the influence of entrepreneurial attitudes, motivation and orientation on the entrepreneurial competitive advantage of innovative entrepreneurs in the tourism and hospitality industry, including those involved with bed and breakfasts, travel agencies and restaurants.

First, the sample for this study was selected through news media reporting on well-known new entrepreneurs, from lists of those entrepreneurs who have won innovation entrepreneurship loan subsidies from the government and from lists of those who have won innovation awards. Second, a pretest was used to confirm the feasibility of the questionnaire. The pretest survey was distributed to a total of 150 tourism and hospitality entrepreneurs. A total of 8 dimensions/facets and 36 items were confirmed. Finally, data collection took place for 9 months. A total of 1,150 questionnaires were distributed, and 606 questionnaires were recovered.

This study proposes a new multi-integration model of moderation-mediation analysis. The innovative business model explores the relationship between entrepreneurial factors and competitive advantage. Based on a survey of 606 staff members and managers of tourism and hospitality firms, entrepreneurs in the tourism and hospitality industry with entrepreneurial attitudes and motives had opportunities to increase their entrepreneurial orientation.

In the process of innovative entrepreneurship, whether through organizational learning or other enterprise cooperation, it is necessary to pay more attention and propose different environmental management strategies. In addition, this study also found that marketing uncertainty moderates between entrepreneurial attitudes and entrepreneurial motives. Entrepreneurial motives are more conservative than other motives, and there is increased confidence in investing in innovative entrepreneurship in stable environments.

This study indicates that innovative entrepreneurial tourism and hospitality firms have a mediating or moderating effect on the relationship between entrepreneurial attitudes and positional advantage. If used properly, these resources can help the new entrants in the tourism and hospitality sector avoid the limitations of environmental change, firm size or insufficient information and improve their competitive advantage.

More people share their tourism experiences on social media today than in the past, and as a result, more people follow these posts in their trip planning. However, studies into tourists' intention to follow such posts are scarce. Therefore, this study investigates the antecedents influencing social media users' intentions to follow tourism-related posts (TRPs) when planning their trips.

Questionnaires were collected from 402 social media users who had followed TRPs for their trip planning. Data were then analyzed using partial least squares structural equation modeling (PLS-SEM) and artificial neural networks.

The authors found that blogger–user fit and users' involvement with TRPs influenced behavior components (attitudes toward TRPs and intention to follow TRPs) via assessment components (bloggers' credibility and content quality), and the authors developed a framework to explain this relationship.

The findings advance prior studies by investigating (1) the antecedents of intention to follow TRPs when trip planning, (2) the two main social media elements – bloggers and posts – to understanding the role of social media on travel behavior and (3) involvement with TRPs and their impacts on travel behavior. This study contributes to the research on social media and tourism marketing and proposes practical indications for bloggers, social media platforms and destination marketing organizations.

This study aims to investigate the factors driving viewers' purchase intention in live-streaming by incorporating stimuli–organism–response (S–O–R) framework and extroversion–introversion personality perspectives.

Data collected from 228 users on live-streaming platforms in Taiwan were used to test the proposed model. The partial least squares method was used to test the measurement and the structural models.

Product attractiveness and trust in streamer significantly impacts purchase intention. The results also reveal that interactivity, breadth of information and uniqueness of information significantly impact product attractiveness, whereas social presence, breadth of information and uniqueness of information positively affect trust in streamer. Furthermore, streamer attractiveness has a greater effect on the purchase intention of extroverts.

This study investigates how the features of media, message and streamer impact purchase intention through their reactions to live-streaming. This research is also one of the earliest studies to examine the moderating role of extroversion–introversion personality on purchase intention and its antecedents in live-streaming commerce.