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This introductory article to the special symposium entitled “The Evolution of Governmental and Nonprofit Accounting Education” introduces the five symposium articles that follow. The article also presents information to assist governmental and nonprofit educators in business schools and public administration educators in other colleges within a university in making comparisons between their perspectives and approaches. The authors’ view as accounting professors is that students in both disciplines develop stronger competencies for success in the public sector when their programs integrate context and techniques that come from using alternative instructional approaches and a diverse set of resources.

Overall, there is a lack of research using online reviews as a proxy of customer experience when addressing the study of tourism in island destinations.

The current investigation aims to fill this gap by focussing on an African small island developing states, i.e. Cape Verde. This paper reports of tourist reviews extracted from TripAdvisor from “two islands of the senses” as coined by this archipelago’s national tourism organization, specifically Santo Antão and Fogo islands. The data analysis was performed through Leximancer software to generate concepts out of words, followed by themes.

The present research focussed on experiences in island tourism to identify their main dimensions based on visitors’ narratives in online reviews. The obtained results are of potential value to the literature by contributing to a better understanding of tourist experience in the context of tourism in islands in an understudied country, Cape Verde.

Results are presented and object of discussion vis-à-vis scientific literature and conclusions put forward in this journal paper.

This paper aims to identify the main themes shared in online reviews by airline travellers, as well as which of these themes were linked with higher and lower value for money ratings.

The research used mixed content analyses (i.e. quantitative and qualitative) to examine 1,200 reviews of six airline companies shared by airline travellers in a social media platform.

The analyses revealed nine themes in descriptions of airline travel experiences. These are the core services during “flights”, “airport” operations, crew and ground “staff”, ticket “classes”, “seats”, inflight “services”, “entertainment”, overall experiences of “airlines” and post-purchase recommendations of with which companies to “fly”. Low value for money ratings are linked with the “airport” and “flights” themes.

The results offer useful insights into airline travellers’ overall experiences based on social media information and facilitate the identification of the main themes linked with different value for money ratings.

The digital revolution has changed consumer–service provider interaction, spawning a new generation of FinTech. This paper analyzes consumers' reactions to artificial intelligence (AI) (vs human) decisions.

The authors tested their predictions by conducting two experimental studies with FinTech consumers (n = 503).

The results reveal that consumers' responses to AI (vs human) credit decisions depend on the type of credit product. For personal loans, the rejection by an AI provider triggers higher levels of satisfaction compared to a credit analyst. This effect is explained via the perceived role congruity. In addition, the findings reveal that consumers’ rejection sensitivity determines how they perceive financial services role congruity.

To the best of the authors' knowledge, this research is the first to jointly examine AI (vs human) credit decisions in FinTech and role congruity, extending prior research in the field.

Corrosion is a major concern for many industries that use metals as structural or functional materials, and the use of corrosion inhibitors is a widely accepted strategy to protect metals from deterioration in corrosive environments. Moreover, the toxic nature, non-biodegradability and price of most conventional corrosion inhibitors have encouraged the application of greener and more sustainable options, with natural and synthetic drugs being major actors. Hence, this paper aims to stress the capability of natural and synthetic drugs as manageable and sustainable, environmentally friendly solutions to the problem of metal corrosion.

In this review, the recent developments in the use of natural and synthetic drugs as corrosion inhibitors are explored in detail to highlight the key advancements and drawbacks towards the advantageous utilization of drugs as corrosion inhibitors.

Corrosion is a critical issue in numerous modern applications, and conventional strategies of corrosion inhibition include the use of toxic and environmentally harmful chemicals. As greener alternatives, natural compounds like plant extracts, essential oils and biopolymers, as well as synthetic drugs, are highlighted in this review. In addition, the advantages and disadvantages of these compounds, as well as their effectiveness in preventing corrosion, are discussed in the review.

This survey stresses on the most recent abilities of natural and synthetic drugs as viable and sustainable, environmentally friendly solutions to the problem of metal corrosion, thus expanding the general knowledge of green corrosion inhibitors.

Global climate change speeds up ice melting and increases flooding incidents. China launched a sponge city policy as a holistic nature-based solution combined with urban planning and development to address flooding due to climate change. Using Weibo analytics, this paper aims to study public perceptions of sponge city.

This study collected 53,586 sponge city contents from Sina Weibo via Python. Various artificial intelligence tools, such as CX Data Science of Simply Sentiment, KH Coder and Tableau, were applied in the study.

76.8% of public opinion on sponge city were positive, confirming its positive contribution to flooding management and city branding. 17 out of 31 pilot sponge cities recorded the largest number of sponge cities related posts. Other cities with more Weibo posts suffered from rainwater and flooding hazards, such as Xi'an and Zhengzhou.

To the best of the authors’ knowledge, this study is the first to explore the public perception of sponge city in Sina Weibo.

The purpose of this paper is to further our knowledge of what influences users to adopt mobile augmented reality in tourism (MART). A conceptual model is proposed, combining the extension of Unified Theory of Acceptance and Usage of Technology (UTAUT2) with task technology fit (TTF), to explain behavioural intention and user behaviour of MART adopters.

A questionnaire was completed by a sample of 335 respondents in Portugal. Both UTAUT2 and TTF were combined into a new model from which several hypotheses were drawn based upon the literature.

The results have shown that the model explains 72 per cent of the variance in behaviour intention to use MART and 45 per cent of the variance in user behaviour.

MART is becoming increasingly known to travellers as it provides the user diverse and useful information with a real relationship with the world. By studying behaviour and what influences consumers to use MART, this study aims to advance the research into new technologies in tourism.

本论文旨在扩展对于消费者在旅游行业中使用移动增强现实科技（MART）的知识。本论文结合科技接受和使用全模型（UTAUT2）和任务科技配置度模型（TTF）, 提出一个新型的理论模型, 用于更深度理解MART使用者的使用意图和行为。

本论文采用问卷采样形式, 采样地点在葡萄牙, 一共采集335份样本数据。由UTAUT2和TTF模型整合的新模型得到了理论认证。

本论文新模型解释了72%的MART消费者行为意图和45%消费者使用行为。

MART如今越来越受到游客的认识, 其科技通过一种与现实更贴近的手段, 向游客提供多样且实用的信息。本论文通过研究消费者使用MART的行为, 对旅游产业新科技的应用有着很深的理论贡献。

The purpose of this study is to contribute with new insights into the nature, dimensionality and measurement of the core essence of the small city boutique hotel (SCBH), something which has been limited in the literature to date. It further explores the conceptual relationships of SCBH with other constructs, providing greater understanding of the nature of these specific conceptual associations and showing that the SCBH scale exhibits construct validity.

This study followed the Churchill’s paradigm to methodologically design the study and develop the scale. Based on an exploratory qualitative inquiry (one focus group and ten interviews) and quantitative assessment (two surveys), support was found for a three-dimensional scale.

Results support the proposed measures of the scale (dream, hospitality and style) in terms of construct, convergent, discriminate, nomological and predictive validity. The findings also suggest that while authenticity acts as a SCBH antecedent, pleasant arousal and preference represent SCBH consequences.

By developing and validating a SCBH scale for city destination, this study addresses an identified literature gap. Specifically, it conceptualizes SCBH as guests’ perception about core characteristics of SCBHs located in the city.

This study aims to explore the opportunity offered through mobile learning (m-learning) to tourism education in the developing country context. To achieve this aim, the antecedent impact of self-efficacy and the moderator role of innovativeness on the attitude and intention to adopt m-learning have been investigated using the technology acceptance model (TAM).

A survey of 176 participants from three prominent tourism education institutes in Dhaka, Bangladesh, has been conducted. Partial least squares-based structural equation modeling (PLS-SEM) has been used to analyze the data.

While the findings confirmed the antecedent effect of self-efficacy on the intention to adopt m-learning, the moderating effect of innovativeness was not found to be as significant for the attitude-intention link.

Data have been collected only from one country and from current tourism students. Future studies on several developing countries with different potential users would bring more in-depth insights.

Tourism education institutes need to focus on students’ self-efficacy to build a positive attitude and behavioral intention toward m-learning when launching mobile-based education services.

The study provides theoretical underpinnings enabling tourism educators to better understand tourism students’ behavioral intention to use m-learning, in particular in the developing country context. By applying TAM to tourism education to examine the effects of students’ self-efficacy and innovativeness, a better explanation of the adoption of m-learning in tourism education is provided.