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The purpose of this paper is to present the concepts of the digital collection of Taiwanese technological artifacts and reliable industrial technology, to proceed with the digitalization of the collected objects and their related literature, and to classify the pictorial, written, audio, and visual information of the database of the relief printing technology into groups with the principle focus on the National Science and Technology Museum collection.

The paper describes the application of the Metalogy software to develop a system that would satisfy the museum's managerial staff, researchers, and general viewers' demands on the same management and learning module.

The paper shows that a competitive digital collection web site has been implemented for the museum learning system.

The paper describes a very practical and useful learning system for the museum digital collection. This database can be developed as a system for the museum's technological artifacts resource, and thus become a precious digital asset of technological artifacts in Taiwan.

The shipper selects a suitable shipping route and plans for a voyage in order to import and export cargo on the basis of published sailing schedules. The reliability of the sailing schedule will influence the shipper’s logistics expense, which means that the logistics costs will depend on the reliability of schedules published by container shipping companies. Therefore, it is important to consider factors which can cause delays would for container ships sailing on sea routes. The reliability of published sailing schedules can be affected by a number of different factors. This study adopts the multi-criteria decision making (MCDM) method to estimate the importance of the delaying factors in a sailing schedule. In addition, the consistent fuzzy preference relations (CFPR) method is applied to identify the subjective importance (weights) of the delaying factors. The entropy weight method combined with the actual performance of the container shipping company are both used when estimating the objective importance (weights) of the delaying factors. According to the analysis results, the criteria can be divided into four quadrants with different management implications, which indicate that instructions for chase strategy, sailing schedule control, fleet allocation, transship operation arrangement and planning for ports in routes are often ignored by container shipping companies. Container shipping companies should consider adjusting their operational strategies, which would greatly improve their operational performance.

Customer engagement (customers’ behavioral manifestations going beyond customer-firm purchase transactions) has been regarded as strategic imperatives for generating enhanced corporate performance. The plethora of new media has provided customers with different options to interact with firms and other customers. However, the primacy of value-laden interactive customer relationships and value co-creation raises challenges for firms and customers, especially in the context of broader business ecosystems such as brand partnership for extending value co-creation. This study aims to explore how customer engagement with well-designed choreograph of various new media’s channels can increase the value co-creation extent in the context of broader business ecosystems, resulting in higher levels service offerings, experiences and innovation.

This exploratory study presents a new framework of customer engagement that holistically integrates the elements of multiple new media and broader business ecosystem, stimulating a virtuous circle of realizing customer engagement toward superior results or innovations. The framework considers new media’s different information service and technologies (e.g. search engine, social recommender, social media) that can be properly choreographed to achieve a virtuous customer engagement circle.

This paper uses an exemplar framework's instantiation – an information technology enabled engagement platform (called iEngagement) – that can demonstrate how to empower the central companies together with their eco-stakeholders to holistically perform customer engagement utilizing new media toward fruitful customer engagement.

This exploratory study is among the first that addresses the theory and practice of customer engagement within multiple new media and broader business ecosystem. This paper presents a customer engagement framework and an exemplified engagement platform that holistically integrate the elements of multiple new media and broader business ecosystem, for stimulating a virtuous circle of realizing customer engagement toward superior results or innovations.

Velocity slipping model, based on the stratification theory (the film in inflatable support area of aerostatic guide way was divided into near wall layer, thin layer and continuous flow layer in the direction of height), was established, and the model was combined with viscosity changes in each layer.

Simulated and analyzed by LAMMPS and two-dimensional molecular dynamics method, some relevant conclusions were drawn.

At a high temperature, viscosity is low, velocity slipping is large and velocity gaps in near-wall layer and thin layer are large. When the temperature is constant, the dimensionless slipping length and Kn number are linear.

The effect of the equivalent viscosity on gas slipping model is proposed. viscosity is smaller, gas velocity slipping is greater, temperature is higher, gas velocity slipping is greater, velocity gap of near wall layer and thin layer is larger. When the temperature is constant, the dimensionless slipping length ls and Kn number are linear.

The global model of lubricating film velocity slipping between plates was established, and mathematical expression of slipping model in each layer, based on the stratification theory, was presented.

The distinct characteristics of slow tourism compared to mass tourism determine the differences between slow travelers and mass travelers. This transformation is essential for potential tourists to transition into slow travelers when promoting slow tourism to them. Can travel vlogs, a “fast” way of promoting, achieve such a “slow” transformation? To address this question, the purpose of this paper is to introduce the resonance theory and investigate the impact of resonance with slow tourism vlogs on potential travelers’ destination image and travel intention.

Through the distribution of online questionnaires on site, this study collected a total of 349 valid questionnaires. Subsequently, the researcher used partial least squares structural equation modeling to analyze the data and test the hypotheses.

The research findings indicate that cognitive resonance only positively affected cognitive image, while emotional resonance was positively associated with both cognitive image and affective image. In addition, it was observed that cognitive image and affective image played a positive mediating role between resonance with slow tourism vlogs and travel intention.

This research is pioneering in quantitatively validating the structure linking resonance, destination image and travel intention in the context of slow tourism. By validating the second-order structure of cognitive and emotional resonance, this study underscores the crucial role of resonance in shaping tourists’ transition toward a slow mindset in slow tourism.

This study aims to to provide a model based on the context and conditions of the regions in Iran for monitoring regional innovation systems (RISs).

In the first stage, after reviewing the literature, interviewing the experts, and then thematic analyzing the content of the obtained data, initial Dimensions and indicators were identified. Then, a fuzzy Delphi technique and a seven-scale questionnaire were used to test the results and expert opinion. Finally, after the extraction and correction of the indicators to evaluate the RISs, a comprehensive model was identified in 5 dimensions, 16 indicators and 176 sub-indicators. In the next step, the importance weights of the main 16 indicators were determined using the analytic hierarchy process method.

The proposed RIS assessment model consists of firms’ behavior and regional interactions, economy, human capital, innovative outputs, locational features, that each dimension has its own indicators and sub-indicators, each one is discussed in the paper.

The research contribution is that the proposed RIS model of this research is the first model that is appropriate to the context of Iran.