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This study aims to identify the intellectual structures, current hotspots and research directions on rural tourism experience (RTE)–related fields from 1996 to 2021.

The authors collected 589 journal articles and reviews from the Web of Science Core Collection and Scopus database and analyzed them through VOSviewer and CiteSpace.

The results indicate a trend of gradual increase in RTE research, covering three main research themes. The most productive countries and institutions with RTE-related publications are mostly members of the European Union. However, the Asia-Pacific region is growing in RTE research and establishing influence. The author collaboration network and influential journals show the importance of the Malaysian authors and top travel journals. The discipline structure, critical articles and high-frequency keywords reflect the research hotspots and trends of RTE.

This study systematically reviews the RTE-related publications over the past 26 years. Accordingly, it can assist scholars gain a more comprehensive understanding of RTE research and acquire future research directions.

本研究的目的是确定 1996 年至 2021 年乡村旅游体验（RTE）相关领域的知识结构、当前热点和研究方向。

从 Web of Science (WOS) 核心合集和 Scopus 数据库中收集了总共 589 篇期刊文章和评论, 并通过 VOSviewer 和 CiteSpace 进行了分析。

结果显示 RTE 研究呈现逐渐增加的趋势, 涵盖三个主要研究主题。 RTE相关出版物最具生产力的国家和机构大多来自欧盟国家。然而, 亚太地区的 RTE 研究正在不断增长, 并建立了影响力。作者合作网络和有影响力的期刊显示了马来西亚作者和顶级旅游期刊的重要性。学科结构、重要文章和高频关键词都反映了RTE的研究热点和趋势。

本文系统回顾了过去 26 年来与 RTE 相关的出版物。从而有助于学者们对RTE研究有更全面的了解, 并获得未来的研究方向。

este estudio tiene como objetivo identificar las estructuras intelectuales, los hotspots actuales y las direcciones de investigación en los campos relacionados con la experiencia en turismo rural (RTE) de 1996 a 2021.

se recogieron 589 artículos y reseñas de revistas de la colección Web of Science (WOS) y la base de datos Scopus yse analizaron a través de VOSviewer y CiteSpace.

los resultados indican una tendencia de aumento gradual en la investigación de la RTE, que abarca tres temas principales de investigación. Los países e instituciones más productivos con publicaciones relacionadas con RTE son en su mayoría miembros de la Unión europea (UE). Sin embargo, la región Asia-Pacífico está creciendo en investigación RTE y estableciendo influencia. La red de colaboración de autores y las revistas influyentes muestran la importancia de los autores malasios y las principales revistas de viajes. La estructura de la disciplina, los artículos críticos y las palabras clave de alta frecuencia reflejan los hotspots de investigación y las tendencias de RTE.

este estudio revisa sistemáticamente las publicaciones relacionadas con RTE en los últimos 26 años. En consecuencia, puede ayudar a los académicos a obtener una comprensión más amplia de la investigación RTE y adquirir futuras direcciones de investigación.

Despite an intensified anti-corruption campaign, China's economic growth and social transition continue to breed loopholes and opportunities for big corruption, leading to a money-oriented mentality and the collapse of ethical standards, and exposing the communist regime to greater risk of losing moral credibility and political trust. In Hong Kong, the setting up of the Independent Commission Against Corruption (ICAC) in 1974 marked the advent of a new comprehensive strategy to eradicate corruption and to rebuild trust in government. The ICAC was not just an anti-corruption enforcement agency per se, but an institution spearheading and representing integrity and governance transformation. This chapter considers how mainland China can learn from Hong Kong's experience and use the fight against corruption as a major political strategy to win the hearts and minds of the population and reform governance in the absence of more fundamental constitutional reforms, in a situation similar to Hong Kong's colonial administration of the 1970s–1980s deploying administrative means to minimize a political crisis.

This study aims to explore how and why self-discrepancy affects materialism and impulsive buying and the extent to which subjective well-being mediates the relationship between self-discrepancy, materialism and impulsive buying.

The authors have tested the hypothesis with a convenience sample (N = 434) from Lithuania. Descriptive analysis, principal components analysis (PCA), serial mediation hypothesis tested with model 81 from regression-based path analysis modeling tool PROCESS Macro for IBM® SPSS® Statistics 24.7 statistical software.

The serial and parallel mediation analysis results indicated that greater self-discrepancy was related to poorer life satisfaction, which was related to greater materialism centrality, which promoted greater impulsive buying. Also, the greater the self-discrepancy, caused more occurrence of negative affect, which relates to increased materialism happiness, which triggers impulsive buying. Self-discrepancy was negatively associated with the frequency of positive affect, which was positively related to materialism, which stimulates impulsive buying.

The study was dominated by younger respondents. The survey was conducted during the lockdown of the Covid-19 virus pandemic.

There is little empirical evidence to support the reasoning behind why self-discrepancy predicts a higher degree of materialism, which increases impulsive buying. This study suggests the mechanism of how subjective well-being affects relationships of self-discrepancy on materialism and impulsive buying.

Deals with the optical responses of fibre Bragg grating (FBG) sensors under different modes of deformation. It derives both the polarisation states and reflection spectra of FBGs based on coupled mode equations by considering the deformation perturbations. It conducts numeric simulations, finds that the experimental results agree well with the simulated ones for normal germano‐silicate FBGs under different individual modes of deformations.

In this chapter, the author explains the three components of Trilogy of Taoist Leadership – responsible business, responsible management and responsible leadership. The concepts of business, management and leadership are defined from multiple angles, including an etymological perspective. The historical origins and evolution of these three areas are explored to provide a comprehensive understanding. The chapter concludes with a discussion of the interconnections among the trilogy's components and illustrates how the trilogy can contribute to the development of sustainable organizations.

The purpose of this paper is to develop a novel intuitionistic fuzzy seasonality regression (IFSR) with particle swarm optimization (PSO) algorithms to accurately forecast air pollutions, which are typical seasonal time series data. Seasonal time series prediction is a critical topic, and some time series data contain uncertain or unpredictable factors. To handle such seasonal factors and uncertain forecasting seasonal time series data, the proposed IFSR with the PSO method effectively extends the intuitionistic fuzzy linear regression (IFLR).

The prediction model sets up IFLR with spreads unrestricted so as to correctly approach the trend of seasonal time series data when the decomposition method is used. PSO algorithms were simultaneously employed to select the parameters of the IFSR model. In this study, IFSR with the PSO method was first compared with fuzzy seasonality regression, providing evidence that the concept of the intuitionistic fuzzy set can improve performance in forecasting the daily concentration of carbon monoxide (CO). Furthermore, the risk management system also implemented is based on the forecasting results for decision-maker.

Seasonal autoregressive integrated moving average and deep belief network were then employed as comparative models for forecasting the daily concentration of CO. The empirical results of the proposed IFSR with PSO model revealed improved performance regarding forecasting accuracy, compared with the other methods.

This study presents IFSR with PSO to accurately forecast air pollutions. The proposed IFSR with PSO model can efficiently provide credible values of prediction for seasonal time series data in uncertain environments.

A lot of people share their living or travelling experiences about cities by writing posts on social media. Such posts carry multi-dimensional information about the characteristics of cities from the public’s perspective. This paper aims at applying text mining technology to automatically extract city images, which are known as how observers perceive the status of the city, from these social media texts.

This paper proposes a data processing pipeline for automatic city image extraction and applies sentiment analysis, timing analysis and contrastive analysis in a case study on Wuhan, a central China megacity. Specifically, the city image constructed with social media text and the expected policy outcomes by the government are compared.

Results reveal gaps between the public’s impression and the strategic goals of the government in traffic and environment.

This study contributes a novel approach to assess government performance by complementary data from social media. This case study implies the value of social media-based city image in the identification of gaps for the optimization of government performance.