Supply chain environmental risks are pivotal situational factors that significantly influence the intricate relationship between a business’s supply chain agility, supply chain resilience, and its ultimate supply chain performance. This study aims to explore the interplay between supply chain agility, supply chain resilience, and supply chain performance, while also investigating the moderating effect of supply chain environmental risks. Data analysis was conducted using hierarchical regression based on a questionnaire survey involving 416 companies in Taiwan’s manufacturing supply chain. The findings reveal several key insights. Firstly, supply chain agility has a positive influence on supply chain resilience, highlighting the importance of a flexible and responsive supply chain to handle challenges effectively. Secondly, supply chain resilience plays a vital role in determining supply chain performance, underscoring its significance in maintaining operational efficiency and effectiveness. Furthermore, the study identifies that supply chain environmental risks can act as a positive moderator in the relationship between supply chain agility and supply chain resilience. In other words, when faced with environmental risks, companies with higher supply chain agility can leverage this capability to reinforce their supply chain resilience, leading to improved supply chain performance. Additionally, the results shed light on the mediating role of supply chain resilience between supply chain agility and supply chain performance. This suggests that a resilient supply chain acts as an intermediary mechanism through which the positive effects of supply chain agility translate into enhanced overall performance. Given the uncertain and turbulent market environment today, these findings emphasize the importance of adopting supply chain agility and supply chain resilience as indispensable business strategies. Therefore, enterprise leaders and managers should proactively implement measures to enhance these aspects of their supply chain to effectively navigate and overcome environmental risks, ultimately driving supply chain performance.

Innovation has always been the driving force behind social progress. Enterprises will adopt different types of technological innovations according to their goals, resources, and market strategies. The industry generally pays attention to the development and application of electric vehicle technology innovation, but a single method may not be able to fully explain the innovation of electric vehicle technology. Furthermore, the results of technological innovation must be presented in terms of market benefits. Otherwise, insufficient cash flow will lead to innovation interruption. Therefore, this study uses the innovation matrix proposed by Rothaermel to classify the matrix formed by the market and technology. This study collects 43 periodicals and special publications published in 2010–2022 and 40 related electric vehicle literature that can be downloaded, summarizes the literature content according to the innovation matrix using literature bibliometric perspective and analysis, and obtains (1) most of the innovative technologies of electric vehicles originated from the extension of previous technologies and (2) batteries and power supplements that are the key items of electric vehicles. The proportion of radical technological innovation is relatively high, and they are also the main factors of market sales. Theoretically, this study can provide a basis for studying the combination of Rothaermel’s “innovation matrix” and Ansoff’s “expansion matrix”. In practice, this is the first time the electric vehicle industry is taken as an example, combining the two models, aiming at technology/production/market/performance for electric vehicle industry managers, the technological innovation direction, and the formulation of market strategy operations and advanced deployment.

Focusing on problem-based learning (PBL) and the multi-disciplinary teaching of science, technology, engineering, arts, and mathematics (STEAM), we developed the evaluation tool of teaching aids in STEAM education to help students practice creative thinking and solution-finding. The fuzzy theory and the analytical hierarchy process were integrated for the evaluation of the acceptance of using robots in STEAM education. The fuzzy analytical hierarchy process (FAHP) was developed with the help of experts in education and industry who defined the goal, criteria, and alternatives (factors) of using teaching aids in STEAM education. FAHP was applied to the evaluation of three robots designed for STEAM education in this study. The result of the evaluation showed that the use of the designed robots in STEAM education was important in five criteria (structure, function, economy, aesthetic, and creativity). Among the alternatives, logic, creativity, simpleness, Avant-garde, and innovation were important for robots to be used for STEAM education. This indicated that artistic elements were important in the integration of them in STEAM education. The developed FAHP and questionnaire were useful in evaluating the acceptance of teaching aids in STEAM education. For the evaluation of the use of other teaching aids, the result of this study provides a basis and a reference for how teaching aids can be used for STEAM education.

Using big data analysis, we study the consumer life cycle based on the following four aspects: customer acquisition, participation, profit, and return visit rate. The Google Merchandise store is selected as a case study to collect data during January–December 2022. Thirteen traffic source dimension elements of the four layers were summarized and analyzed, and the following results were obtained. Consumers complete a conversion rate of 57 million. The late contact point affects the conversion rate, which is much higher than that in the early and middle periods. Reducing the number of touchpoints in the conversion increases the revenue. Understanding customers’ shopping habits helps improve advertising results. Thus, website managers need to introduce Google Analytics 4 analytics at different stages for site quality and business effectiveness.