Li‐Chen Tsai, Sheue‐Ling Hwang and Kuo‐Hao Tang
Expert and novice readers tag documents with different descriptions; this study is intended to discover which readers would generate the most reliable and most representative sets…
Abstract
Purpose
Expert and novice readers tag documents with different descriptions; this study is intended to discover which readers would generate the most reliable and most representative sets of tags.
Design/methodology/approach
One group of experts and one group of novices were recruited. These two groups were asked to provide tags for document bookmarks in a Mozilla Firefox browser. In the experimental analysis we defined two measures – similarity and relevance – to describe the differences between the two groups.
Findings
Tags chosen by experts yielded better similarity and relevance values in all analyses. Tags chosen by the expert group had higher commonality in pairwise similarity analysis; moreover, the relevance analysis showed that tags chosen by experts reflected better understanding of the content.
Originality/value
Tagging behavior has become highly popular on the web, and its study has commercial merit. Tags from experts represent the structure behind the knowledge involved; expert representation may be vastly more helpful than novice representation for promoting understanding of content in an era characterized by an explosion of information.
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Gwo Yang Tsai, Tsuang Kuo and Li-Chen Lin
The purpose of this paper is to explore the satisfaction level of government employees toward the e-government information platform system in Taiwan to better understand the…
Abstract
Purpose
The purpose of this paper is to explore the satisfaction level of government employees toward the e-government information platform system in Taiwan to better understand the effectiveness of such systems. Furthermore, this paper aimed to investigate the moderating effects of management maturity on quality management and user satisfaction.
Design/methodology/approach
This study examined the questionnaire via a pretest, and then 174 formal questionnaires were obtained from people who had used the focal information platform system.
Findings
The results show that management maturity has a high, positive moderating effect on service quality (SQ), a medium moderating effect on system quality (SysQ), and a low, negative moderating effect on information quality (IQ).
Research limitations/implications
One limitation of this study is that the survey was conducted at one public agency in Taiwan. Therefore, a suggestion for further research is to focus on both public and private corporations, as well as government agencies.
Practical implications
This study built a moderating model for 3Q and management maturity, in order to provide quality management directions, especially with regard to information management, system establishment, and service management.
Originality/value
Management maturity is a vital, albeit long neglected, determinant for the success of the adoption of e-government information systems (ISs). Such ISs serve only as a tool, and it is those who operate the systems that put their functions into full play. Given this, management maturity is likely to be the key to the successful operation of ISs.
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Van‐Tsai Liu, Chien‐Hung Liu, Hau‐Wei Li, Chieh‐Li Chen, Chun‐Liang Lin and Yu‐Chen Lin
The purpose of this paper is to develop the multi‐degree‐of‐freedom measurement system to test, verify, and control the nano‐measuring machine.
Abstract
Purpose
The purpose of this paper is to develop the multi‐degree‐of‐freedom measurement system to test, verify, and control the nano‐measuring machine.
Design/methodology/approach
A generic differential model approach is constructed to numerically describe the hysteresis effects of piezoelectric actuators. Based on the generic differential model, a feedforward compensator with a proportional integral (PI) type controller is designed to compensate for the hysteresis nonlinearity of a piezoelectric actuated three degree‐of‐freedom coplanar nanostage which can provide high‐precision applications.
Findings
The Z‐tilts (z, pitch, and roll motion) error compensation stage of the nano‐measuring machine is accomplished. Moreover, a high‐resolution laser interferometer is used to measure position accurately.
Originality/value
This paper contributes to develop a tracking control design method for the piezoelectric motion platform which combines a closed‐loop feedforward compensator with a PI type controller.
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Li Chen, Dirk Ifenthaler, Jane Yin-Kim Yau and Wenting Sun
The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption…
Abstract
Purpose
The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain.
Design/methodology/approach
A scoping review was conducted using six inclusive and exclusive criteria agreed upon by the author team. The collected studies, which focused on the adoption of AI in entrepreneurship education, were analysed by the team with regards to various aspects including the definition of intelligent technology, research question, educational purpose, research method, sample size, research quality and publication. The results of this analysis were presented in tables and figures.
Findings
Educators introduced big data and algorithms of machine learning in entrepreneurship education. Big data analytics use multimodal data to improve the effectiveness of entrepreneurship education and spot entrepreneurial opportunities. Entrepreneurial analytics analysis entrepreneurial projects with low costs and high effectiveness. Machine learning releases educators’ burdens and improves the accuracy of the assessment. However, AI in entrepreneurship education needs more sophisticated pedagogical designs in diagnosis, prediction, intervention, prevention and recommendation, combined with specific entrepreneurial learning content and entrepreneurial procedure, obeying entrepreneurial pedagogy.
Originality/value
This study holds significant implications as it can shift the focus of entrepreneurs and educators towards the educational potential of artificial intelligence, prompting them to consider the ways in which it can be used effectively. By providing valuable insights, the study can stimulate further research and exploration, potentially opening up new avenues for the application of artificial intelligence in entrepreneurship education.
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Yafei Zhang, Li Chen and Ming Xie
Drawing on the moral foundations theory (MFT), we examine what nonprofit organizations (NPOs) discuss and how NPOs engage in gun-related issues on Twitter. Specifically, we…
Abstract
Purpose
Drawing on the moral foundations theory (MFT), we examine what nonprofit organizations (NPOs) discuss and how NPOs engage in gun-related issues on Twitter. Specifically, we explore latent topics and embedded moral values (i.e. care, fairness, loyalty, authority, and sanctity) in NPOs’ tweets and investigate the effects of the latent topics and moral values on invoking public engagement.
Design/methodology/approach
Data were retrieved by the Twint Python and the rtweet R packages. Finally, 5,041 tweets posted by 679 NPOs were analyzed via unsupervised topic modeling and the extended moral foundations dictionary (eMFD). Negative binomial regression analysis was employed for statistical analysis.
Findings
NPOs’ engagement in gun-related issues mainly focuses on laws and policies, calling for action and collaborations, and school safety. All five moral foundations are more salient in the cluster of laws and policies. When NPOs discuss the above-mentioned three topics, the public is less likely to like or retweet NPOs’ messages. In contrast, NPOs’ messages with the sanctity foundation are most likely to receive likes and retweets from the public. The fairness foundation interacts with Cluster 3 of school safety on the number of likes.
Originality/value
This study enhances the understanding of gun-related social media discussions by identifying the crucial involvement of NPOs as major stakeholders. In addition, our study enriches the existing literature on NPOs’ social media communication by including moral values and their moral-emotional effects on public engagement. Finally, our study validates the eMFD dictionary and broadens its applicability to gun-related topics.
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Xiaoyue Chen, Bin Li, Tarlok Singh and Andrew C. Worthington
Motivated by the significant role of uncertainty in affecting investment decisions and China's economic leadership in Asia, this paper investigates the predictive role of exposure…
Abstract
Purpose
Motivated by the significant role of uncertainty in affecting investment decisions and China's economic leadership in Asia, this paper investigates the predictive role of exposure to Chinese economic policy uncertainty at the individual stock level in large Asian markets.
Design/methodology/approach
We estimate the monthly uncertainty exposure (beta) for each stock and then employ the portfolio-level sorting analysis to investigate the relationship between the China’s uncertainty exposure and the future returns of major Asian markets over multiple trading horizons. The raw returns of the high-minus-low portfolios are then adjusted using conventional asset pricing models to investigate whether the relationship is explained by common risk factors. Finally, we check the robustness of the portfolio-level results through firm-level Fama and MacBeth (1973) regressions.
Findings
Applying portfolio-level sorting analysis, we reveal that exposure to Chinese uncertainty is negatively related to the future returns of large stocks over multiple trading horizons in Japan, Hong Kong and India. We discover this is unexplained by common risk factors, including market, size, value, profitability, investment and momentum, and is robust to the specification of stock-level Fama and MacBeth (1973) regressions.
Research limitations/implications
Our analysis demonstrates the spillover effects of Chinese economic policy uncertainty across the region, provides evidence of China's emerging economic leadership, and offers trading strategies for managing uncertainty risks.
Originality/value
The findings of the study significantly improve our understanding of stock return predictability in Asian markets. Unlike previous studies, our results challenge the leading role of the US by providing a new intra-regional return predictor, namely, China’s uncertainty exposure. These results also evidence the continuing integration of the Asian economy and financial markets. However, contrary findings for some Asian markets point toward certain market-specific features. Compared with market-level research, our analysis provides deeper insights into the performance of individual stocks and is of particular importance to investors and other market participants.
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Despite the implementation of the “land for social security” scheme to compensate for land expropriation in rural China, the distribution of social security benefits varies widely…
Abstract
Despite the implementation of the “land for social security” scheme to compensate for land expropriation in rural China, the distribution of social security benefits varies widely both between and within provinces. Why do local officials offer pension compensation in addition to cash payments to some landless farmers and not to others? Using in-depth interviews and survey data, I find that certain attributes of collective demands may signal a threat to social stability, prompting government concessions in the form of welfare benefits. Particularly, among the dispossessed farmers who have engaged in petitions, those who petitioned to higher-level officials were found to be more likely to receive pension benefits than those who have participated in claim-making with a bigger crowd. I propose that in the administrative hierarchy system of cadre evaluation, local officials may perceive public visits and petitions to higher levels of government as more threatening to their career prospects. Moreover, the dilemma between compensation and stability maintenance may also enable local officials to condone strategic targeting rather than collective gathering.
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Yu Hsin Chen, Ching-Jui Keng and Ye-Li Chen
With the advancements of Internet of Things (IoT) and artificial intelligence (AI) in recent years, smart objects (SOs) have been widely applied in the lives of consumers to…
Abstract
Purpose
With the advancements of Internet of Things (IoT) and artificial intelligence (AI) in recent years, smart objects (SOs) have been widely applied in the lives of consumers to fulfill a variety of functions. This research aims to explore the new interaction experience between consumers and a smart speaker that can create the effect of customer engagement by enhancing the gendered voice and product smartness.
Design/methodology/approach
This study conducted a 2 × 2 × 2 between-subject experiment to validate the research model and the hypotheses.
Findings
The results indicate that a high level of interaction experience between the users and smart speaker devices increases customer engagement. Smart speaker devices that present female voices have a high product smartness, whereas high levels of interaction experience are more effective in customer engagement. Furthermore, the results also show a moderate effect of gendered voice and product smartness between the interaction experience levels and customer engagement.
Originality/value
This study contributes to the assemblage theory and the interaction experience levels between users and smart speaker devices in IoT. Based on the results, suggestions on enhancing the smartness ability and application services of new smart speaker devices are proposed. The findings of this study can promote a more continuous interaction between users and smart speakers.
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Zhe Liu, Hao Wei, Li Chen, Haihang Cui and Bohua Sun
The purpose of this study is to establish an effective numerical simulation method to describe the flow pattern and optimize the strategy of noncontact mixing induced by…
Abstract
Purpose
The purpose of this study is to establish an effective numerical simulation method to describe the flow pattern and optimize the strategy of noncontact mixing induced by alternating Gaussian light inside a nanofluid droplet and analyzing the influencing factors and flow mechanism of fluid mixing inside a droplet.
Design/methodology/approach
First, the heat converted by the alternating incident Gaussian light acting on the nanoparticles was considered as the bulk heat source distribution, and the equilibrium equation between the surface tension and the viscous force at the upper boundary force was established; then, the numerical simulation methods for multiple-physical-field coupling was established, and the mixing index was used to quantify the mixing degree inside a droplet. The effects of the incident position of alternating Gaussian light and the height of the droplet on the mixing characteristics inside a droplet were studied. Finally, the nondimensional Marangoni number was used to reveal the flow mechanism of the internal mixing of the droplet.
Findings
Noncontact alternating Gaussian light can induce asymmetric vortex motion inside a nanofluid droplet. The incident position of alternating Gaussian light is a significant factor affecting the mixing degree in the droplet. In addition, the heat transfer caused by the surface tension gradient promotes the convection effect, which significantly enhances the mixing of the fluid in the droplet.
Originality/value
This study demonstrates the possibility of the chaotic mixing phenomenon induced by noncontact Gaussian light that occurs within a tiny droplet and provides a feasible method to achieve efficient mixing inside droplets at the microscale.