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User-centered product designs have been attracting increasing attention, particularly in digital design. In interacting with the design support system, designers may face problems such as changing demands (e.g. unclear demands) and insufficient descriptions of these demands (e.g. data scarcity). The purpose of this paper is to build a design support system prototype for demonstrating the feasibility of meeting the high involvement of users in digital products.

Interactive evolutionary computation is applied.

A prototype of self-design greeting card system (SDGCS) was proposed. It provides professional design layouts, offers users numerous self-design models, and allows nonprofessional users to easily design greeting cards. The results of this study show that users were satisfied with the functionality, usefulness, and ease-of-use of the SDGCS.

This study used digital card design as an example for demonstrating the feasibility of satisfying the unclear needs of uses, enabling users to design a digital card creatively and complete their designs quickly. However, the current system only supports the design of static objects and layout of card. And the evaluation sample size was small, which might affect generalizability of the findings.

In practice, greeting card web operators can image the feasible business models by providing the attraction of self-design functionalities.

In current human-centric marketing era, consumers have begun to request interaction with designers in creating the value of a product. However, very few previous studies have provided support for digital product self-design. This study demonstrated the feasibility of satisfying the needs of self-design.

Artificially intelligent (AI) assistant-enabled smart speaker not only can provide assistance by navigating the massive amount of product and brand information on the internet but also can facilitate two-way conversations with individuals, thus resembling a human interaction. Although smart speakers have substantial implications for practitioners, the knowledge of the underlying psychological factors that drive continuance usage remains limited. Drawing on social response theory and the technology acceptance model, this study aims to elucidate the adoption process of smart speakers.

A field survey of 391 smart speaker users were obtained. Partial least squares structural equation modeling was used to analyze the data.

Media richness (social cues) and parasocial interactions (social role) are key determinants affecting the establishment of trust, perceived usefulness and perceived ease of use, which, in turn, affect attitude, continuance usage intentions and online purchase intentions through AI assistants.

AI assistant-enabled smart speakers are revolutionizing how people interact with smart products. Studies of smart speakers have mainly focused on functional or technical perspectives. This study is the first to propose a comprehensive model from both functional and social perspectives of continuance usage intention of the smart speaker and online purchase intentions through AI assistants.

With the development of economy, China’s OFDI constantly increase in recent year. Meanwhile, OFDI has spillover effect on economic development and technological development of home country. Thus, accurate OFDI prediction is a prerequisite for the effective development of international investment strategies. The purpose of this paper is to predict China’s OFDI accurately using a novel multivariable grey prediction model with Fourier series.

This paper applied a multivariable grey prediction model, GM(1,N), to forecast China’s OFDI. In order to improve the prediction accuracy and without changing local characteristics of grey model prediction, this paper proposed a novel grey prediction model to improve the performance of the traditional GM(1,N) model by combining with residual modification model using GM(1,1) model and Fourier series.

The coefficients indicate that the export and GDP have positive influence on China’s OFDI, and, according to the prediction result, China’s OFDI shows a growing trend in next five years.

This paper proposed an effective multivariable grey prediction model that combined the traditional GM(1,N) model with a residual modification model in order to predict China’s OFDI. Accurate forecasting of OFDI provides reference for the Chinese Government to implement international investment strategies.

Drawing upon the literature of Uses and Gratifications (U & G) Theory, the purpose of this paper is to propose that entertainment, information seeking, socialization, and self-presentation are the motivational factors affecting continuance intention of social media. This paper further investigates the moderating effects of cultural difference and socio-economic status on the link between these motivational factors and continuance intention.

Data collected from the 493 active users of Facebook in five countries (Australia, Austria, Japan, Taiwan, and the USA) were used to test the proposed model. Partial least squares method was used to assess the relationships in the model and the subgroup analysis method was employed as well to examine the moderating roles of cultural difference and socio-economic status.

Information seeking exerts stronger effect on continuance intention for users from individualistic cultures, while socialization, and self-presentation has stronger influence on continuance intention for users from collective cultures. Entertainment has stronger influence on continuance for high educated users, whereas self-presentation has stronger influence on continuance intention for users with lower level of education. Finally, the effect of entertainment, information seeking on continuance intention is stronger for users with higher level of income, while self-presentation has stronger influence on continuance intention for users with lower level of income.

This study is one of first studies to extend the research context of U & G Theory from adoption of social media to continuance intention of social media. This study is also the first to investigate the moderating roles of cultural difference and socio-economic statuses in social media usage behavior simultaneously.

This research conducted two experiments to understand the performance (correctness and efficiency) of novice database designers, and perceptions of ease of use and preferences of two approaches for modeling relational databases: the semantic‐oriented approach (top‐down, e.g. using the entity‐relationship model) and the logical‐oriented approach (bottom‐up, view decomposition, focusing only on the logical model). The findings indicated that in experiment 1, semantic‐oriented treatments performed better in a complex, written‐text case; logical‐oriented treatments were better in a simple, tabular‐form case. The same situation happened in experiment 2 though the differences were not statistically significant.

This study aims to establish a dynamic process model of an electromagnetic thermotherapy system (ETS) to predict the temperature of a thermotherapy needle.

The model is used for real-time predicting the static and dynamic responses of temperature and can therefore provide a valuable analysis for system monitoring.

The electromagnetic thermotherapy process is a nonlinear problem in which the system identification is implemented by a neural network identifier. It can simulate the input/output relationship of a real system with an excellent approximation ability to uncertain nonlinear system. A system identifier for an ETS is analyzed and selected with recurrent neural networks models to deal with various treatment processes.

The Elman neural network (ENN) prediction model on ETS proposed in this study is an easy and feasible method. Comparing two situations of inputs with more and fewer data, both are trained to present low mean squared error, and the temperature response error appears within 15 per cent. The ENN, with the advantages of simple design and stable efficacy, is useful for establishing the temperature prediction model to ensure the security in the thermotherapy.

Total quality management (TQM) is widely recognized as an effective approach to enhance a firm’s competitive advantage. In addition to technical elements such as statistical process control, product design, etc. the successful implementation of TQM requires senior executive leadership and effective human resources management. Examines the leadership and human resources management of TQM in Taiwan. Data were collected from field interviews and questionnaire surveys conducted in US and Japanese subsidiaries, and local firms. Criteria stipulated in the Malcolm Baldrige National Quality Award of the USA were used to assess the quality of leadership and human resources management. Results of MANOVA (Multivariate analysis of variants) reveal that a company with larger sales revenue, a larger number of employees, or with greater production automation manifests better leadership and human resources management. The chi‐square test shows that foreign‐invested companies are superior to local firms in leadership. Canonical correlation analysis concludes that both leadership and human resources management are positively correlated with the management effectiveness of the quality department. Discusses the managerial implications of these research findings.

This study applies D3.js and social network analysis (SNA) to examine the impact of collaboration patterns, research productivity patterns and publication patterns on the Ministry of Education (MOE) evaluation policies across all Management Information Systems (MIS) departments in Taiwan.

This study first retrieved data from the Ministry of Science and Technology of Taiwan (MOST) website from 1982 to 2015, the Journal Citation Reports (JCR) website, the Web of Science (WOS) website and Google Scholar. Then it applied power-law degree distribution, cumulative distribution function, weighted contribution score, exponential weighted moving average and network centrality score to visualize the MIS collaborations and research patterns.

The analysis concluded that most MIS professors focused primarily on SCIE-/SSCI-/TSSCI-/core indexed journals after 2005. Professors from public universities were drawn to collaboration and publishing in high-quality-based journals, while professors from private universities focused more on quantity-based publications. Female professors, by contrast, have a slightly higher single-authorship publication rate in SCIE-/SSCI-/TSSCI-indexed journals than do male professors. Meanwhile, professors in northern Taiwan emphasized quantity-based journal publications, while a focus on quality was more typical in the south. Furthermore, National Cheng Kung University has the most single-authorship or intrauniversity publications in SCIE-/SSCI-/TSSCI-/core journals, and National Sun Yat-Sen University published more SSCI-indexed articles than SCIE-indexed articles. All of these findings show that there is an explicit relation between MOE evaluation policies and MIS faculty members' collaboration/publication strategies.

The above findings explain how MOE evaluation policies affected MIS faculty members' collaboration and publication strategies in Taiwan, and the authors hope that such findings can constitute a resource for understanding and characterizing networking with MIS departments in Taiwan.

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.

While the consumer movement was popular in economically advanced countries between 1965 and 1975, developing countries were not yet ready for such issues. The consumers in these countries, due to their economic, social, and political environments, were not aware of their rights. Taiwan was a typical case. Three main reasons contributed to the ignorance of the Taiwanese consumers at the advent of the worldwide consumer movement. First, in its early years, Taiwan was basically an agricultural society. The primary industry and its commodities made product differentiation impossible. It was nature, and not human beings that decided the quality and/or quantity of the products produced for the market. Everyday products were simple and few, and the choice between products, easy. Secondly, it was not until the 1960's that Taiwan turned slowly from an import‐oriented economy to that of an export‐oriented economy. Raising tariffs and controlling the importation of products were necessary to protect local businesses from foreign competition. Thus, the rights of consumers were sacrificed. Lastly, the very nature of the Chinese (e.g., psychological profile), led them to endure the suffering of any mistreatment. They would avoid a direct confrontation on any dispute. Therefore, organized activities against businesses was not possible. All of these reasons made the consumer movement unheard of in Taiwan during the 1960s.