Abstract
Purpose
Nowadays, the breakout of the COVID-19 pandemic has caused an important change in teaching models. The emotional experience of this change has an important impact on online teaching. This paper aims to explore its time evolution characteristics and provide reference for the development of online teaching in the post epidemic era.
Design/methodology/approach
The article firstly crawls the online teaching-related comment text data on Zhihu platform and performs emotional calculation to obtain a one-dimensional time series of daily average emotional values. Then, by using non-linear time-series analysis, this paper reconstructs the daily average emotion value time series in high-dimensional phase space, calculates the maximum Lyapunov exponent and correlation dimension and finally, explores the feature patterns through recurrence plot and recurrence quantification analysis.
Findings
It was found that the sequence has typical non-linear chaotic characteristics; its correlation dimension indicates that it contains obvious fractal characteristics; the public emotional evolution shows a cyclical rise and fall. By text mining and temporal evolution analysis, this paper explores the evolution law over chronically of the daily average emotion value time series, provides feasible strategies to improve students' online learning experience and quality and continuously optimizes this new teaching model in the era of pandemic.
Originality/value
Based on social knowledge sharing platform of Q&A, this paper models and analyzes users interaction data under online teaching-related topics. This paper explores the evolution law over a long time period of the daily average emotion value time series using text mining and temporal evolution analysis. It then offers workable solutions to enhance the quality and experience of students' online learning, and it continuously improves this new teaching model in the age of pandemics.
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Xuanning Chen, Angela Lin and Sheila Webber
This study aims to gain a better understanding of artificial serendipity – pre-planned surprises intentionally crafted through deliberate designs – in online marketplaces. By…
Abstract
Purpose
This study aims to gain a better understanding of artificial serendipity – pre-planned surprises intentionally crafted through deliberate designs – in online marketplaces. By exploring the key features of artificial serendipity, this study investigates whether serendipity can be intentionally designed, particularly with the use of artificial intelligence (AI). The findings from this research broaden the scope of serendipity studies, making them more relevant and applicable in the context of the AI era.
Design/methodology/approach
A narrative study was conducted, gathering insights from 32 Chinese online consumers through diaries and interviews. The data were analysed in close collaboration with participants, ensuring an authentic reflection of their perceptions regarding the features of artificial serendipity in online marketplaces.
Findings
Findings reveal that artificial serendipity, particularly when designed by AI, is still regarded by online consumers as genuine serendipity. It provides a sense of real surprise and encourages deeper reflection on personal knowledge, affording the two central qualities of genuine serendipity: unexpectedness and valuableness. However, since artificial serendipity is pre-planned through intentional design, consumers cannot have entire control over it. Therefore, compared to natural serendipity – fortune surprises arising from accidental correspondence between individuals and contexts – artificial serendipity tends to be more surprising yet less valuable.
Research limitations/implications
For research, it highlights the potential of intelligent technologies to facilitate genuine serendipity, updating our understanding of serendipity.
Practical implications
Also, the study provides practical insights into designing serendipity, especially in online markets. These contributions enrich both the theoretical framework and practical strategies surrounding serendipity in the era of AI.
Originality/value
This study stands out as one of the few to provide a nuanced understanding of artificial serendipity, offering valuable insights for both research and practice. For research, it highlights the potential of intelligent technologies to facilitate genuine serendipity, updating our understanding of serendipity. Also, the study provides practical insights into designing serendipity, especially in online markets. These contributions enrich both the theoretical framework and practical strategies surrounding serendipity in the era of AI.
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The improvement of museum service quality and efficiency is a hot issue in recent years. This paper aims to explore the influencing factors of museum audience satisfaction with…
Abstract
Purpose
The improvement of museum service quality and efficiency is a hot issue in recent years. This paper aims to explore the influencing factors of museum audience satisfaction with music playing experience and provide empirical support for the improvement of museum service quality.
Design/methodology/approach
In this study, first, the basic theory of customer satisfaction and the basic theory of structural equation model are introduced. Different types of music have different effects on audience experience. At the same time, for different types of museums, different exhibition halls in the same museum and different types of exhibitions, the use of music should be tailored to local conditions. Then, a questionnaire survey is conducted to investigate the satisfaction of the audience of Hunan Museum with their music playing experience, and the survey data are collected and sorted out. Structural equation model (SEM) is used to study the customer satisfaction of Museum audiences' music playing experience, so as to find out the factors that have the greatest impact on the satisfaction and put forward corresponding improvement suggestions.
Findings
The results show that perceived value and perceived quality have the greatest impact on customer satisfaction.
Research limitations/implications
Museum audience satisfaction model involves many variables and has complex relationships. Therefore, there are still many shortcomings in this study.
Practical implications
Therefore, this study has important practical significance for museums to serve the society, improve the level of exhibition and realize their own value. By improving the exhibition environment and paying attention to the complaints of the audience, the satisfaction of the audience can be improved.
Originality/value
The structural equation model is applied to the study of museum customer satisfaction.
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Ting Yuan, Min-da Zhang, Jia-hui Ni, Ya-xuan Chen and Fei Geng
The purpose of this paper is to compare corrosion behavior of a modified multilayer material with Cu before and after brazing process.
Abstract
Purpose
The purpose of this paper is to compare corrosion behavior of a modified multilayer material with Cu before and after brazing process.
Design/methodology/approach
Sea water acidified accelerated tests (SWAATs), potentiodynamic polarization tests and scanning electron microscopy were used to study the corrosion behavior and macro/micro structures. Results indicate that the corrosion mechanisms of the sheets before and after brazing process are completely different.
Findings
The un-brazed material is uniform corrosion, while the brazed material has a high sensitivity to localized corrosion and loses cathodic protection to the core. It is found that brazing process causes copper transition from the core alloy into eutectic phases in the cladding, leading to higher Ecorr and different potential distribution compared with those of un-brazed materials.
Originality/value
For the modified multilayer material after brazing, there are two stages of corrosion. First, corrosion attack takes place along eutectic phases in the cladding material, and then core alloy dissolves by forming a galvanic couple with the nobler residual cladding.
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Linus Hagemann and Olga Abramova
Given inconsistent results in prior studies, this paper applies the dual process theory to investigate what social media messages yield audience engagement during a political…
Abstract
Purpose
Given inconsistent results in prior studies, this paper applies the dual process theory to investigate what social media messages yield audience engagement during a political event. It tests how affective cues (emotional valence, intensity and collective self-representation) and cognitive cues (insight, causation, certainty and discrepancy) contribute to public engagement.
Design/methodology/approach
The authors created a dataset of more than three million tweets during the 2020 United States (US) presidential elections. Affective and cognitive cues were assessed via sentiment analysis. The hypotheses were tested in negative binomial regressions. The authors also scrutinized a subsample of far-famed Twitter users. The final dataset, scraping code, preprocessing and analysis are available in an open repository.
Findings
The authors found the prominence of both affective and cognitive cues. For the overall sample, negativity bias was registered, and the tweet’s emotionality was negatively related to engagement. In contrast, in the sub-sample of tweets from famous users, emotionally charged content produced higher engagement. The role of sentiment decreases when the number of followers grows and ultimately becomes insignificant for Twitter participants with many followers. Collective self-representation (“we-talk”) is consistently associated with more likes, comments and retweets in the overall sample and subsamples.
Originality/value
The authors expand the dominating one-sided perspective to social media message processing focused on the peripheral route and hence affective cues. Leaning on the dual process theory, the authors shed light on the effectiveness of both affective (peripheral route) and cognitive (central route) cues on information appeal and dissemination on Twitter during a political event. The popularity of the tweet’s author moderates these relationships.
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Kangkang Yu, Xinkai Zhu and Xuan Chen
The purpose of this paper is to investigate the relationship between transaction costs and the performance variance of peasant households and specialized cooperatives, as well as…
Abstract
Purpose
The purpose of this paper is to investigate the relationship between transaction costs and the performance variance of peasant households and specialized cooperatives, as well as to explore whether or not this relationship varies across different regions in China.
Design/methodology/approach
Based on the transaction cost theory (TCT) and the contingency theory (CT), a survey was undertaken at county level to support the main effects and moderating effects and the results were analyzed using a general linear model. A complementary case study was also used to further discuss the results.
Findings
It was found that the change rate of peasant households’ scope of operation is sensitive to inadequate market information, purchase and sales expense and resolving disputes expense. In terms of specialized cooperatives, the change rate of their scale of operations is sensitive to inadequate market information, the chances of violating an agreement and incomplete norms. The moderating effect of regional classification is supported in terms of purchase and sales expenses on the performance variance of peasant households, and in terms of inadequate market information on the performance variance of specialized cooperatives.
Research limitations/implications
First, the data were collected at the county level, which could only reflect the conditions of the macro-environment. Second, many variables were designed as dummies for the sake of brevity and efficiency, because the respondents were officers in local agricultural departments. Third, transaction costs may not have a direct effect on the variance of productivity but indirect through many potential mediators.
Practical implications
The results not only provide useful information for agricultural operators to analyze the transaction costs related to their forms of organization, but also impartial advice for policy makers to consider the form of agricultural operators in different regions.
Originality/value
This study focusses on the role of the external environment by integrating the TCT and CT theory. Furthermore, it seeks to explore whether the relationship between transaction costs and the performance variance of peasant households and specialized cooperatives varies across different regions of China.
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Shaw Chen, Bing-Xuan Lin, Yaping Wang and Liansheng Wu
The effectiveness of corporate governance is a major factor in forecasting firm performance. We examine the relationships among cross-listing, corporate governance and firm…
Abstract
The effectiveness of corporate governance is a major factor in forecasting firm performance. We examine the relationships among cross-listing, corporate governance and firm performance for a sample of Chinese cross-listed companies. We show that cross-listed firms display higher overall quality of corporate governance compared to non-cross-listed firms. Consequently better corporate governance results in higher operating performance. Our results support the bonding hypothesis of cross-listing. Furthermore, we also illustrate that the cross-listing status encapsulates the higher quality of corporate governance that leads to higher operating performance. When forecasting performance of cross-listing companies, it is therefore important to recognize the substitute effect between cross-listing and corporate governance.
Andrew A. Adams, Kiyoshi Murata, Yasunori Fukuta, Yohko Orito and Ana María Lara Palma
A survey of the attitudes of students in eight countries towards the revelations of mass surveillance by the US’ NSA and the UK’s GCHQ has been described in an introductory paper…
Abstract
Purpose
A survey of the attitudes of students in eight countries towards the revelations of mass surveillance by the US’ NSA and the UK’s GCHQ has been described in an introductory paper and seven country-specific papers (The People’s Republic of China and Taiwan are combined in a single paper). This paper aims to present a comparison of the results from these countries and draws conclusions about the similarities and differences noted.
Design/methodology/approach
A questionnaire was deployed in Germany, Japan, Mexico, New Zealand, The People’s Republic of China, Spain, Sweden and Taiwan. The original survey was in English, translated into German, Japanese and Chinese for relevant countries. The survey consists of a combination of Likert scale, Yes/no and free-text responses. The results are quantitatively analysed using appropriate statistical tools and the qualitative answers are interpreted (including, where appropriate, consolidated into quantitative results).
Findings
There are significant differences between respondents in the countries surveyed with respect to their general privacy attitudes and their willingness to follow Snowden’s lead, even where they believe his actions served the public good.
Research limitations/implications
Owing to resource limitations, only university students were surveyed. In some countries (Germany and New Zealand), the relatively small number of respondents limits the ability to make meaningful statistical comparisons between respondents from those countries and from elsewhere on some issues.
Practical implications
Snowden’s actions are generally seen as laudable and having had positive results, among the respondents surveyed. Such results should give pause to governments seeking to expand mass surveillance by government entities.
Originality/value
There have been few surveys regarding attitudes to Snowden’s revelations, despite the significant press attention and political actions that have flowed from it. The context of attitudes to both the actions he revealed and the act of revelation itself is useful in constructing political and philosophical arguments about the balance between surveillance activity for state security and the privacy of individual citizens.
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Liqiong Chen, Lei Yunjie and Sun Huaiying
This study aims to solve the problems of large training sample size, low data sample quality, low efficiency of the currently used classical model, high computational complexity…
Abstract
Purpose
This study aims to solve the problems of large training sample size, low data sample quality, low efficiency of the currently used classical model, high computational complexity of the existing concern mechanism, and high graphics processing unit (GPU) occupancy in the current visualization software defect prediction, proposing a method for software defect prediction termed recurrent criss-cross attention for weighted activation functions of recurrent SE-ResNet (RCCA-WRSR). First, following code visualization, the activation functions of the SE-ResNet model are replaced with a weighted combination of Relu and Elu to enhance model convergence. Additionally, an SE module is added before it to filter feature information, eliminating low-weight features to generate an improved residual network model, WRSR. To focus more on contextual information and establish connections between a pixel and those not in the same cross-path, the visualized red as integer, green as integer, blue as integer images are inputted into a model incorporating a fused RCCA module for defect prediction.
Design/methodology/approach
Software defect prediction based on code visualization is a new software defect prediction technology, which mainly realizes the defect prediction of code by visualizing code as image, and then applying attention mechanism to extract the features of image. However, the challenges of current visualization software defect prediction mainly include the large training sample size and low sample quality of the data, and the classical models used today are not efficient, and the existing attention mechanisms have high computational complexity and high GPU occupancy.
Findings
Experimental evaluation using ten open-source Java data sets from PROMISE and five existing methods demonstrates that the proposed approach achieves an F-measure value of 0.637 in predicting 16 cross-version projects, representing a 6.1% improvement.
Originality/value
RCCA-WRSR is a new visual software defect prediction based on recurrent criss-cross attention and improved residual network. This method effectively enhances the performance of software defect prediction.
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This study aims to analyze the relationship between Málaga’s airport, air transport, companies and the local economy.
Abstract
Purpose
This study aims to analyze the relationship between Málaga’s airport, air transport, companies and the local economy.
Design/methodology/approach
It is a bibliographic study, and it uses secondary data from Aeropuertos Españoles y Navegación Aérea, Instituto de Estadística y Cartografía de Andalucía, España Exportación e Inversiones, Instituto Nacional de Estadística and International Air Transport Association to support research results. The investigation has reviewed and collected data on the specific paradigm of research which discusses, investigates and evaluates the impact of the Málaga Costa del Sol airport and its regional context.
Findings
The results of this study suggest that Málaga Costa del Sol airport promotes an increase of the establishment of companies in the city and how this plays an important role in the tourist, air cargo and logistics development and Málaga local economy. This is a great opportunity for companies and Destination Marketing Organizations (DMOs) help add value to local products, bet on tourist quality and design customized products with high added value, as long as the pandemic lasts, and everyone is vaccinated.
Originality/value
The contribution of this study is double. To the best of the author’s knowledge, this study shows for the first time to Málaga Costa del Sol airport such as a multifunctional airfield (tourist-cargo-logistics-accessible) and not only as tourist airport. Second, this study shows the influence of Málaga airport in the establishment of large national and international companies in the city of Málaga and urban development. Furthermore, this paper contributes to the literature by presenting new evidence on the spatial spillover effects of airports on economic development in cities.