Nao Li, Xiaoyu Yang, IpKin Anthony Wong, Rob Law, Jing Yang Xu and Binru Zhang
This paper aims to classify the sentiment of online tourism-hospitality reviews at an aspect level. A new aspect-oriented sentiment classification method is proposed based on a…
Abstract
Purpose
This paper aims to classify the sentiment of online tourism-hospitality reviews at an aspect level. A new aspect-oriented sentiment classification method is proposed based on a neural network model.
Design/methodology/approach
This study constructs an aspect-oriented sentiment classification model using an integrated four-layer neural network: the bidirectional encoder representation from transformers (BERT) word vector model, long short-term memory, interactive attention-over-attention (IAOA) mechanism and a linear output layer. The model was trained, tested and validated on an open training data set and 92,905 reviews extrapolated from restaurants in Tokyo.
Findings
The model achieves significantly better performance compared with other neural networks. The findings provide empirical evidence to validate the suitability of this new approach in the tourism-hospitality domain.
Research limitations/implications
More sentiments should be identified to measure more fine-grained tourism-hospitality experience, and new aspects are recommended that can be automatically added into the aspect set to provide dynamic support for new dining experiences.
Originality/value
This study provides an update to the literature with respect to how a neural network could improve the performance of aspect-oriented sentiment classification for tourism-hospitality online reviews.
研究目的
本文旨在从方面级对在线旅游-酒店评论的情感进行分类。提出了一种基于神经网络模型的面向方面的情感分类新方法。
研究设计/方法/途径
本研究使用集成的四层神经网络构建面向方面的情感分类模型:BERT 词向量模型、LSTM、IAOA 机制和线性输出层。该模型在一个开放的训练数据集和从东京餐厅推断的 92,905 条评论上进行了训练、测试和验证。
研究发现
与其他神经网络相比, 该模型实现了显着更好的性能。研究结果提供了经验证据, 以验证这种新方法在旅游酒店领域的适用性。
研究原创性
该研究提供了有关神经网络如何提高旅游酒店在线评论的面向方面的情感分类性能的新文献。
研究研究局限
应该识别更多的情感从而来更加细化衡量旅游酒店体验, 并推荐新的方面/维度可以被自动添加到方面集中, 为新的用餐体验提供动态支持。
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Wenjie Dong, Sifeng Liu, Zhigeng Fang, Xiaoyu Yang, Qian Hu and Liangyan Tao
The purpose of this paper is to clarify several commonly used quality cost models based on Juran’s characteristic curve. Through mathematical deduction, the lowest point of…
Abstract
Purpose
The purpose of this paper is to clarify several commonly used quality cost models based on Juran’s characteristic curve. Through mathematical deduction, the lowest point of quality cost and the lowest level of quality level (often depicted by qualification rate) can be obtained. This paper also aims to introduce a new prediction model, namely discrete grey model (DGM), to forecast the changing trend of quality cost.
Design/methodology/approach
This paper comes to the conclusion by means of mathematical deduction. To make it more clear, the authors get the lowest quality level and the lowest quality cost by taking the derivative of the equation of quality cost and quality level. By introducing the weakening buffer operator, the authors can significantly improve the prediction accuracy of DGM.
Findings
This paper demonstrates that DGM can be used to forecast quality cost based on Juran’s cost characteristic curve, especially when the authors do not have much information or the sample capacity is rather small. When operated by practical weakening buffer operator, the randomness of time series can be obviously weakened and the prediction accuracy can be significantly improved.
Practical implications
This paper uses a real case from a literature to verify the validity of discrete grey forecasting model, getting the conclusion that there is a certain degree of feasibility and rationality of DGM to forecast the variation tendency of quality cost.
Originality/value
This paper perfects the theory of quality cost based on Juran’s characteristic curve and expands the scope of application of grey system theory.
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Xiaoyu Yang, Zhigeng Fang, Xiaochuan Li, Yingjie Yang and David Mba
Online health monitoring of large complex equipment has become a trend in the field of equipment diagnostics and prognostics due to the rapid development of sensing and computing…
Abstract
Purpose
Online health monitoring of large complex equipment has become a trend in the field of equipment diagnostics and prognostics due to the rapid development of sensing and computing technologies. The purpose of this paper is to construct a more accurate and stable grey model based on similar information fusion to predict the real-time remaining useful life (RUL) of aircraft engines.
Design/methodology/approach
First, a referential database is created by applying multiple linear regressions on historical samples. Then similarity matching is conducted between the monitored engine and historical samples. After that, an information fusion grey model is applied to predict the future degradation trajectory of the monitored engine considering the latest trend of monitored sensory data and long-term trends of several similar referential samples, and the real-time RUL is obtained correspondingly.
Findings
The results of comparative analysis reveal that the proposed model, which is called similarity-based information fusion grey model (SIFGM), could provide better RUL prediction from the early degradation stage. Furthermore, SIFGM is still able to predict system failures relatively accurately when only partial information of the referential samples is available, making the method a viable choice when the historical whole life cycle data are scarce.
Research limitations/implications
The prediction of SIFGM method is based on a single monotonically changing health indicator (HI) synthesized from monitoring sensory signals, which is assumed to be highly relevant to the degradation processes of the engine.
Practical implications
The SIFGM can be used to predict the degradation trajectories and RULs of those online condition monitoring systems with similar irreversible degradation behaviors before failure occurs, such as aircraft engines and centrifugal pumps.
Originality/value
This paper introduces the similarity information into traditional GM(1,1) model to make it more suitable for long-term RUL prediction and also provide a solution of similarity-based RUL prediction with limited historical whole life cycle data.
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Yida Liu, Jie Zhao, Xiaoyu Yang, Yanhong Gu and Zihao Yang
The purpose of this paper is to improve the corrosion resistance of the 6061-Al alloy as the battery pack material for electric vehicles, and the nano-SiC/MAO composite coating…
Abstract
Purpose
The purpose of this paper is to improve the corrosion resistance of the 6061-Al alloy as the battery pack material for electric vehicles, and the nano-SiC/MAO composite coating was prepared.
Design/methodology/approach
The corrosion resistance of coatings was evaluated by the global electrochemical test, and the local electrochemical impedance spectroscopy (LEIS) was used to study the local corrosion mechanism. The laser confocal microscope, scanning electron microscope and X-ray diffractometer (XRD) were used to characterise coatings.
Findings
Results showed that the impedance of nano-SiC/MAO coating was 1–2 times higher than MAO coating, and the main corrosion product was Al(OH)3. LEIS results showed that the impedance of the nano-SiC/MAO coating was two times higher than the MAO coating. The defective SiC/Micro-arc oxidation coating still had high corrosion resistance compared to the MAO coating.
Originality/value
The physical model of the local corrosion mechanism for SiC/MAO composite coating in “cavity-fracture collapse” mode was proposed.
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Xiaoyu Yang, Longzhu Dong and Abraham Nahm
This study aims to examine how business executives' political connections are associated with government subsidies and strategic change, and how they, in turn, influence firm…
Abstract
Purpose
This study aims to examine how business executives' political connections are associated with government subsidies and strategic change, and how they, in turn, influence firm performance, measured by return on assets (ROA) and market share.
Design/methodology/approach
Hypotheses were tested using the large firm-level dataset provided by the National Bureau of Statistics (NBS) of China for the period 2003–2013. This is one of the most comprehensive datasets of Chinese manufacturing companies and includes 321,722 firms on average per year, which spans over 37 industries.
Findings
The authors found that political connections, measured by senior executives' membership in the National People's Congress of China (NPC), were positively associated with government subsidies but were not associated with strategic change. Also, government subsidies, as the underlying mechanism, mediated the relationships between NPC membership and firm performance but strategic change did not.
Research limitations/implications
By examining the possible mediators between corporate political strategies and firm performance, the authors confirmed the thought that the impact of political connections on firm performance is a complex phenomenon and goes beyond a simple direct effect. However, future research could explore other mediators in this relationship.
Originality/value
While the direct relationship between political connections and firm performance has been examined in management literature, the results are mixed. For the first time, the authors addressed the gap and opened the “black box” – the underlying mechanisms of this relationship. This study's findings contribute to the literature on corporate political activity, strategic change, and their influences on firm performance.
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Xiaoyu Yang, Philip R. Moore, Chi‐Biu Wong, Jun‐Sheng Pu and Seng Kwong Chong
This paper aims to capture and manage the product lifecycle data for consumer products, especially data that occur in distribution, usage, maintenance and end‐of‐life stages, and…
Abstract
Purpose
This paper aims to capture and manage the product lifecycle data for consumer products, especially data that occur in distribution, usage, maintenance and end‐of‐life stages, and to use them to provide information and knowledge.
Design/methodology/approach
A lifecycle information acquisition and management model is proposed, and an information management system framework is formulated. The information management system developed is then used in actual field trials to manage lifecycle data for refrigeration products and game consoles.
Findings
It has been demonstrated that valuable services can be delivered through a lifecycle information management system.
Practical implications
Lifecycle information management systems can open new horizons for product design which are sustainable and environmentally sensitive. They also contribute to the wider exploration of eco‐design and development of next generation consumer products (e.g. smart home appliances).
Originality/value
Existing lifecycle information systems cannot support all phases of the product lifecycle. They mainly manage the lifecycle data only during the design and manufacture stages. Lifecycle data during distribution, usage, maintenance and end‐of‐life stages are usually hard to acquire and in most cases lost. The lifecycle information management system developed can capture them, and manage them in an integrated and systematic manner to provide information and knowledge.
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Gláucya Daú, Annibal Scavarda, Maria Teresa Rosa Alves, Ricardo Santa and Mario Ferrer
Population worldwide has experienced several challenges related to sustainable development, such as scarcity of natural resource, unsustainable consumption, poverty, injustice…
Abstract
Purpose
Population worldwide has experienced several challenges related to sustainable development, such as scarcity of natural resource, unsustainable consumption, poverty, injustice, violence, social inequality and natural disaster (including floods, tsunami and landslide). These issues interfere in sustainable development and target to achieve societal balance, structuring without compromising economic and environmental resources of future generations. The higher educational institutions are included in this context because they play a role in professional training and in education to promote sustainable practices. The higher educational institutions can assume a prominent position in the 2030 Agenda implementation for sustainable development of the United Nations, especially in the Goals 4 and 10, quality education and reduced inequalities, respectively. The purpose of this research study aims to develop a literature review and analyze the higher educational and sustainable themes, involving the Brazilian scenario.
Design/methodology/approach
This research study develops a literature review based on researches that involve higher educational and sustainable themes in the Brazilian scenario. Inclusion criteria are papers in English, with the search equations in their titles, and peer-reviewed papers. Paper publication year was not an exclusion criterion. This research aimed to understand opportunity and challenge processes in the Brazilian higher educational institutions and their actions, so that the Sustainable Development Goals are completely achieved and the 2030 Agenda for sustainable development is fulfilled. For this, a research central question was established: What are the opportunities and the challenges to achieve the 2030 Agenda for sustainable development in the Brazilian higher education?
Findings
A total of 636 papers were recovered. The “Higher Education AND Opportunities,” “Higher Education AND Challenge,” “Higher Education AND Challenges,” “Higher Education AND Opportunity,” “Brazilian AND Higher Education” and “Brazil AND Higher Education” search equations found, respectively, 165, 146, 131, 74, 62 and 25 papers, involving 94.8% of the total number of the papers found. The papers recovered enabled the vision of five clusters: policy; inclusion; culture; relationship; and environment, society and economy. The paper analyses found that innovation process, sustainable practical implementation and holistic look, involving professors and students, can allow the 2030 Agenda achievement.
Originality/value
The authors of this research study presented a framework based on the literature analyzed through five clusters: policy; inclusion; culture; relationship; and environment, society and economy, considered from opportunity and challenge perspectives. The authors introduced and discussed the Brazilian higher educations and their opportunities and challenges. The Brazilian panorama was linked with the 2030 Agenda for sustainable development, in specific, with the Goals 4 and 10. Implications of this research study are related to the higher educational opportunities and challenges in policy, inclusive, cultural, sustainable and relationship contexts, involving governmental and nongovernmental sectors, professors and students for the Brazilian educational improvement.
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Xiaoyu Wang, Siti Hajar Abu Bakar Ah and Zaiton Azman
This study aims to assess the social network and perceived social support among community corrections offenders in China and compare the relationship between different…
Abstract
Purpose
This study aims to assess the social network and perceived social support among community corrections offenders in China and compare the relationship between different sub-dimensions of social support and offenders’ social adaptation.
Design/methodology/approach
A descriptive design combined with self-administered questionnaires was used. A total of 54 valid responses were analysed, with participants displaying the following demographic characteristics: male offenders outnumbered female offenders, probationers constituted the highest proportion among all community corrections offenders and educational levels were generally low. Descriptive statistics and correlation analysis were conducted. The Lubben Social Network Scale, Interpersonal Support Evaluation List Scale and Person at Re-education-centre Social Adaptation Scale were used to measure the variables.
Findings
Participants exhibited generally good levels of social support, with moderately extensive social networks and perceived support. All sub-dimensions showed significant positive correlations with social adaptation, with the highest correlation for appraisal support (r = 0.743, p < 0.01), followed by instrumental support (r = 0.714, p < 0.01), emotional support (r = 0.687, p < 0.01), informational support (r = 0.685, P < 0.01) and social networks (r = 0.426, p < 0.01).
Practical implications
This study expands the understanding of community corrections offenders in China by focusing on the underexplored Sichuan Province, using empirical methods for data collection. It addresses a gap in previous research by examining both structural and functional support for offenders rather than focusing solely on one aspect. The study uses two scales, rarely used in Chinese research, to measure structural and functional support, thereby enhancing research on social support for offenders. Practically, it explores the correlation between social support and re-entry, offering valuable insights for improving offenders’ reintegration into society.
Originality/value
These results underscore the critical role of social networks and perceived social support in reintegrating Chinese community corrections offenders. Distinct from prior research, this study used a more comprehensive scale, less commonly used by Chinese scholars, to enable detailed measurement and analysis, highlighting the significance of both structural and functional support in informing practice in related fields.
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Jiayue Sun, Yadi Gu, Dongxiao Gu, Kaixiang Su, Xiaoyu Wang, Changyong Liang and Xuejie Yang
Gamification has been widely applied in mobile fitness apps to motivate users to exercise continuously. Based on the affordances–psychological outcomes–behavioral outcomes…
Abstract
Purpose
Gamification has been widely applied in mobile fitness apps to motivate users to exercise continuously. Based on the affordances–psychological outcomes–behavioral outcomes framework, this study explores the roles of three specific gamification affordances (competition, visibility of achievement and interactivity) in self-health management (continuous use behavior and health behavior) from the perspectives of achievement satisfaction and gamification exhaustion.
Design/methodology/approach
We test the research model using a structural equation model (SEM) with 505 self-reported data points. Furthermore, we apply fuzzy-set qualitative comparative analysis (fsQCA) to explore configurations of gamification affordances associated with self-health management behavior, reinforcing the SEM results.
Findings
Results indicate that competition, visibility of achievement and interactivity can enhance achievement satisfaction, which further boosts self-health management behavior. However, competition and interactivity can also cause gamification exhaustion, which undermines self-health management behavior to some extent. Overall, the positive impacts of the three affordances outweigh the negative impacts.
Practical implications
This study provides new insights for relevant practitioners on designing gamification affordances, aiding the sustainable development of mobile fitness apps and their long-term effects on self-health management. Visibility of achievement should be emphasized, and competition and interactivity should be thoughtfully designed to minimize their negative effects.
Originality/value
This study extends the affordances–psychological outcomes–behavioral outcomes framework and the literature on gamification and health management by applying both SEM and fsQCA methodologies to examine the relationship between specific gamification affordances and self-health management behavior.
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Yankun Qi, Xiaoyu Li, Jinghui Liu, Hanqiu Li and Chen Yang
To systematically characterize and objectively evaluate basic railway safety management capability, creating a closed-loop management approach which allows continuous improvement…
Abstract
Purpose
To systematically characterize and objectively evaluate basic railway safety management capability, creating a closed-loop management approach which allows continuous improvement and optimization.
Design/methodology/approach
A basic railway safety management capability evaluation index system based on a comprehensive analysis of national safety management standards, railway safety rules and regulations and existing safety data from railway transport enterprises is presented. The system comprises a guideline layer including safety committee formation, work safety responsibility, safety management organization and safety rules and regulations as its components, along with an index layer consisting of 12 quantifiable indexes. Game theory combination weighting is utilized to integrate subjective and objective weight values derived using AHP and CRITIC methods and further combined using the TOPSIS method in order to construct a comprehensive basic railway safety management capability evaluation model.
Findings
The case study presented demonstrates that this evaluation index system and comprehensive evaluation model are capable of effectively characterizing and evaluating basic railway safety management capability and providing directional guidance for its sustained improvement.
Originality/value
Construction of an evaluation index system that is quantifiable, generalizable and accessible, accurately reflects the main aspects of railway transportation enterprises’ basic safety management capability and provides interoperability across various railway transportation enterprises. The application of the game theoretic combination weighting method to derive composite weights which combine experts’ subjective evaluations with the objectivity of data.