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The purpose of this article is to investigate the impact of Confucianism on growth under different political regimes.

The empirical specification adopts a two-regime panel threshold model proposed by Hansen (1999) to endogenously divide our country sample into two-regime-types – autocracy and democracy – according to a country's democratic stock or experiences.

The results show that the effect of Confucianism on growth exhibits an asymmetrical pattern depending on the status of a country's political democracy. Only when a moderate level of freedom has already been attained can Confucianism have a positive effect on growth. Conversely, for autocracies whose democratic institutions cannot pass a certain threshold, Confucianism has a very limited effect in terms of changing economic activity.

If the data with different sample years and/or different sample countries are used, the research results may lack generalizability. Further tests of the two-regime model with different data sizes are encouraged.

The authors use the World Values Survey (WVS) map to identify the countries under the influence of Confucianism. The authors emphasize that focusing only on political geography may overlook the information from the spread of cultural traits that accompanied the migration of people. So, based on the Confucian countries suggested by the WVS and the migration matrix of Putterman and Weil (2010), an immigration-based Confucianism variable was constructed. To accommodate different effects of Confucianism on growth in different phases of political development, the empirical specification adopts an asymmetrical pattern to investigate the impact of Confucianism on economic performance.

This paper aims to prepare third-order nonlinear optical (NLO) organic materials with large nonlinear optimization value, high damage threshold and ultrafast response time.

A series of novel symmetric and asymmetric compounds possessing third-order NLO properties were synthesized using 1,3,5-tribromobenzene as the basis. The photophysical and electrochemical properties, as well as the click reactions, were characterized by means of UV–VIS–NIR absorption spectroscopy and cyclic voltammetry.

The donor–acceptor chromophores were inserted into compound, making the molecule to have a broader absorption in the near-infrared regions and a narrower optical and electrochemical band gap. It also formed an electron-delocalized organic system, which has larger effects on achieving a third-order NLO response. The third-order NLO phenomenon of benzene ring complexes was experimentally studied at 532 nm using Z-scan technology, and some compounds showed the expected NLO properties.

The click products exhibit more NLO phenomena by performing different click combinations to the side groups, opening new perspectives on using the system in a variety of photoelectric applications.

Social movements are made up of organized groups and individuals working together to accomplish shared objectives. Under what circumstances do active groups build and break their coalitions? Five conditions have been identified in the literature as influencing coalition formation: common identity, resources, organizational structure, historical connection, and institutional setting. Whereas coalition dynamics within a movement wave are best understood in terms of institutional opportunities and threats, further research is needed to determine how and to what extent these contextual elements influence coalitions. This chapter examines how threats posed by indiscriminate and selective repression affect the shape and structure of interorganizational coalitions during the 2019 Anti-Extradition Law Amendment Bill (Anti-ELAB) protests in Hong Kong. The analysis relies on an original political event dataset and an organization-event network dataset. These datasets were produced utilizing syntactic event coding techniques based on Telegram posts, which Hong Kong protesters used to distribute information, plan future actions, and crowdsource news. Furthermore, Telegram provides detailed information about state activities, event-level coalitions, and violent groups, which is difficult to access from other sources. This study investigates the coalition networks across the movement's four stages, each of which was marked by a particular type and degree of repression. The findings indicate that indiscriminate and selective repression have varied effects on coalition networks. A wide coalition disintegrates as a result of indiscriminate repression. Selective repression, however, leads to the formation of coalitions around activist groups targeted by repression.

Budget hotels are becoming an emerging industry for convenience and affordability, where consumer sentiments are of paramount importance. Tourism has become increasingly dependent on social media and online platforms to gather travel-related information, purchase travel products, food, lodging, etc., and share views and experiences. The user-generated data helps companies make informed decisions through predictive and behavioural analytics.

Design/Methodology/Approach: This study uses text mining, deep learning, and machine learning techniques for data collection and sentiment analysis based on 117,151 online reviews of the customers posted on the TripAdvisor website from May 2004 to May 2019 from 197 hotels of five prominent budget hotel groups spread across India using Feedforward Neural Network along with Keras package and Softmax activation function.

Findings: The word-of-mouth turns into electronic word-of-mouth through social networking sites, with easy access to information that enables customers to pick a budget hotel. We identified 20 widely used words that most customers use in their reviews, which can help managers optimise operational efficiency by boosting consumer acceptability, satisfaction, positive experiences, and overcoming negative consumer perceptions.

Practical Implications: The analysis of the review patterns is based on real-time data, which is helpful to understand the customer’s requirements, particularly for budget hotels.

Originality/Value: We analysed TripAdvisor reviews posted over the last 16 years, excluding the Corona period due to industry crises. The findings reverberate in consonance with the performance improvement theory, which states feed-forward a neural network enhances organisational, process, and individual-level performance in the hospitality industry based on customer reviews.

The circular economy (CE) requires that ‘used’ materials continue to be in circulation after their initial use has finished. Materials are typically sourced in the building industry as new materials in bulk that carry guarantees of safety, quality and delivery. The distributed and diverse origins of used materials mean that they do not normally carry these guarantees. Furthermore, existing potential procurement systems for reused materials such as eBay allow users to present their auctions in a loosely structured form that can make it difficult to manage and procure multiple items to satisfy the quantities, condition and type required by the contractor. Therefore, this chapter proposes an information system to support the agile procurement of used materials at a scale that is appropriate for construction projects to support the CE. It describes the development of a tool called ‘JunkUp’ that would allow multiple auctions of similar items from diverse sellers to be managed as a single item. Based on this system, in future work, it should be possible to use this tool to test strategies to address the risk to safety, quality and delivery of reused materials in construction. This should ultimately lead to the opportunity to increase material reuse (and reduce waste) in the building and construction sector and support an agile CE for the building industry.

This chapter aims to contribute to the literature on public governance and its link to corruption. In particular, the chapter presents conceptual arguments for better understanding the ways in which public governance choices may affect corruption levels, thus identifying governance policies, mechanisms, and roles that can contribute in fighting and preventing corruption at macro-, meso- and micro-levels of analysis.

Starting from a macro-, meso- and micro-perspectives, this chapter is based on a literature review in order to understand connections between public governance and corruption.

Even if literature on the causes of public corruption are analysed from the macro-, meso-, and micro-perspectives, contributions of public governance scholars in relation to anticorruption efforts are mainly concentrated on a macro-perspective of analysis, while only a limited number of scholars offer a reflection on the possible interdependencies among governance policies and instruments and anticorruption efforts at the organizational level.

Despite the importance of the meso- and micro-perspectives, the literature review presented in this chapter shows us an important gap on the definition of which governance mechanisms and instruments or organizational policies are important to carry out in order to prevent or fight corruption, thus highlighting the need to improve research on this important field.

The purpose of this paper is to make people aware of organic corrosion inhibitors.

As it is a literature review paper, no specific method is used.

It has been found that plant extracts and oils show inhibition efficiency up to 98 percent, so it is certain that plant extracts and oils are effective corrosion inhibitors and can be successfully used at the industrial level.

Plant extracts and oils are also found to be non‐toxic, highly efficient, renewable and cheap. But less effort has been given towards the identification of which compound is active in the extract.

The paper shows detailed account of the inhibitors obtained from plants, which are used as natural corrosion inhibitors.

With the development of tourism industry, online travel agencies (OTA) have gradually become an important channel for tourism product supplies and sales. Some OTAs provide consumers with a platform for tourism guidance and online travel sharing. They not only satisfy some tourists’ desire to share their experiences but also provide reference for more consumers to choose travel products. This process is the process of value co-creation by customers and online travel companies. This study is conducted under DART theory, a theoretical framework of value co-creation composed of four dimensions, namely dialog, access, risk-assessment, and transparency. Brand equity is divided into four aspects: brand loyalty, brand awareness, customer perceived value, and brand image. This study uses the structural equation model to investigate the impact of customer value co-creation behavior on brand equity of online travel enterprises and interprets the process and mechanism of customer value co-creation behaviors for online travel business brand equity, which provides more efficient strategies and methods for platform interaction and value co-creation.

The purpose of the study is to analyse the impact of COVID-19 on the hospitality industry during the rise of worldwide pandemic crises using Twitter analysis. The study is based on 57,794 English-language tweets mined from Twitter from 1 April 2020 to 15 October 2020. Based on thematic and sentiment analysis, the study found that overall sentiments expressed on Twitter were negative. This chapter contributes to existing knowledge about the COVID-19 crisis and broadens the respondents’ understanding of the potential impacts of the crisis on the most vulnerable tourism and hospitality industry. This research emphasises the sustainable revival of the hospitality industry.

The purpose of this paper is to evaluate the use of nickel and nickel oxide thin films as anticorrosive protection for low‐carbon steel when expose to sour media. The purpose of this paper is also the study of a superior oxide nickel thin film over the nickel thin film.

Nickel thin films are applied on steel AISI 1018 (UNS G 10180) by magnetron sputtering and electrolytic techniques. The films are tested after deposition on low‐carbon steel. A massive nickel electrode also is evaluated as a reference. In order to evaluate the protective properties of films in sour media, electrochemical techniques are employed, but also scanning electron microscopy in order to identify the difference in porosity and surface of the films coated by both techniques.

Micrographs of thin films deposited by magnetron sputtering reveal a homogeneous surface whereas the electrolytic films show many micro‐crevices and expose the substrate even on the oxide films. These results indicate that localize corrosion on the film surface diminishes the corrosion resistance, even if the film itself has a superior corrosion resistance.

These kinds of nickel thin films deposit by magnetron sputtering and their oxides are an excellent anticorrosion alternative even for mild carbon steel exposed on sour media.

The sputtered nickel deposit is consistently more protective against corrosion than an electrolytic deposit of the same thickness. The nickel oxide benefits the steel by displacement of the corrosion potential towards more positive values. The electrochemical performance of solid nickel oxide is superior compared to the nickel metallic film on the steel substrate.