The onset of technological innovations (mobile and handhelds, virtual reality, multi-touch screens, and interactive 3D) have provided creative ideas and perspectives for online communication, dissemination, and protection of cultural heritage for costume museums. Digital costume museums (DCM) digitized clothing collections for the Internet, conducive to enhancing visitors’ understanding, enjoyment, and positive attitudes and stimulating further learning, experience, and exploration. However, little attention has been paid to the influence and effects of these technologies on visitors’ experience toward digital costume museums. Improving users’ behavior intention and expanding the influence of digital costume museums are issues that need further discussion. In this study, we expand the technology acceptance model (TAM) by adding information quality and information richness as the system characteristics, constructing the research model, and 11 hypotheses of users’ behavior intention toward digital costume museums. Analysis of data collected from 265 costume-related respondents reveal that information quality (IQ) positively influences perceived convenience (PC) and perceived ease of use (PEOU), while information richness (IR) has a positive impact on perceived usefulness (PU) and perceived playfulness (PP). The finding also reveals that perceived usefulness (PU) and perceived playfulness (PP) are significant predictors of users’ behavior intention (BI) toward using digital costume museums. The research conclusion enriches academic theories and brings practical inspiration for managers, curators, and practitioners to construct and innovate digital costume museums.

As one of the internationally recognized solutions to environmental problems, electric vehicles feature zero direct emissions and can reduce dependence on petroleum. An increasing number of countries have attached importance to the electric vehicle and developed it, and it is predicted that it will become a main force in the transportation system. Hence, it is necessary to explore the factors that drive consumers to buy electric vehicles. This study analyzes the factors that influence the consumer’s intention to buy electric vehicles and tests the relationship between them, and intends to offer information for the formulation of policies designed to popularize electric vehicles in order to reduce carbon emissions from transportation. As a result, consumer attitudes are the most important factor influencing the intention to purchase electric vehicles. The greatest effect is found in this line: Brand Trust→Perceived Benefit→Attitude→Purchase Intention. This means that the brand can increase the consumer’s perceived benefit of electric vehicles, make consumers more attracted to electric vehicles, and influence their final purchase intention.

In response to the rapid growth of mobile Internet, online retailers have created better shopping experiences through new technologies. These shopping experiences are the product of the new interaction methods created by new technologies and the intrinsic value of these technologies. To achieve a better understanding of how new technologies improve consumers’ intention to use them continuously, this study established a theoretical model of how consumers’ perceived interactivity affects intrinsic value, which then affects attitudes, and ultimately contributes to the theoretical model. Within the perceived interactivity construct, there is perceived control, personalization and responsiveness, and as part of the intrinsic value construct there is playfulness and aesthetics. The results demonstrate that intrinsic value and perceived interactivity play important roles in predicting consumers’ attitudes and continuance intention to use new technologies applied to mobile e-commerce, but do not include perceived control in perceived interactivity. To highlight the results of this study, relevant enterprises or practitioners may use the findings to design or improve the features of existing mobile apps to provide better services and experiences to consumers based on their internal perceptions.

Digital museums that use modern technology are gradually replacing traditional museums to stimulate personal growth and promote cultural exchange and social enrichment. With the development and popularization of the mobile Internet, user experience has become a concern in this field. From the perspective of the dynamic stage of user experience, in this study, we expand ECM and TAM by combining the characteristics of users and systems, thereby, constructing the theoretical model and 12 hypotheses about the influencing factors of users’ continuance intentions toward digital museums. A total of 262 valid questionnaires were collected, and the structural equation model tested the model. This study identifies variables that play a role and influence online behavior in a specific experiential environment: (1) Perceived playfulness, perceived usefulness, and satisfaction are the critical variables that affect users’ continuance intentions. (2) Expectation confirmation has a significant influence on perceived playfulness, perceived ease of use, and satisfaction. (3) Media richness is an essential driver of confirmation, perceived ease of use, and perceived usefulness. The conclusions can be used as a reference for managers to promote the construction and innovation of digital museums and provide a better experience to meet users’ needs.

With the continuous evolution of artificial intelligence technology, AI drawing tools have emerged as highly esteemed instruments in the modern design industry. These tools, owing to their exceptional performance and innovative features, offer creators an unprecedented artistic experience. However, the factors influencing designers’ continuance intention to use AI drawing tools remain ambiguous. This study is grounded in the expectation–confirmation model–information systems continuance (ECM-ISC) model, which is further refined and hypothesized in light of the characteristics of AI drawing tools. Using structural equation modeling, we analyzed 398 valid questionnaire responses. The results elucidated the relationships of key constructs, such as perceived usefulness, perceived ease of use, satisfaction, expectation confirmation, perceived playfulness, perceived switching cost, subjective norms, and perceived risk, on designers’ continuance intention. Notably, perceived ease of use, traditionally considered vital, did not result in a significant influence on continuance intention or perceived usefulness in this research. This insight offers new perspectives for AI drawing tool developers and designers, suggesting that while pursuing user friendliness, broader considerations affecting user decisions should be taken into account. This study not only enriches the theoretical framework but also provides valuable guidance for the practical field.

As environmental and energy issues are becoming more and more serious, China has seen the birth of a number of electric vehicle start-ups (EVSUs). Although there has been a dozen or so studies about consumers’ purchase intention of battery electric vehicles, few of them were about electric vehicle start-ups. Therefore, it is necessary to explore the factors that influence consumers’ purchase intention of electric vehicles from Chinese electric vehicle start-ups (CEVSUs). This study establishes a theoretical model of the factors that influence consumers’ purchase intentions of electric vehicles from CEVSUs through brand identity, brand image, brand awareness, and perceived risk. The analysis results of 332 valid questionnaires show that the factors that affect consumers’ purchase intention of electric vehicles from CEVSUs include brand identity, brand image, and perceived risk. Brand image will be affected by brand recognition, brand awareness, and perceived risk. The perceived risk will be affected by brand awareness and brand identity. Brand awareness will be affected by brand identity, but brand awareness will not directly affect purchase decisions. The conclusions of this study can be used as a reference for the government, consumers, or practitioners in the electric vehicle industry to promote the sales of electric vehicles to achieve low-carbon transportation, and also to help Chinese start up brands to take a larger share of the domestic market.