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There is growing empirical evidence that firm heterogeneity is technologically non-neutral. This chapter extends the Gandhi, Navarro, and Rivers (2020) proxy variable framework for structurally identifying production functions to a more general case when latent firm productivity is multi-dimensional, with both factor-neutral and (biased) factor-augmenting components. Unlike alternative methodologies, the proposed model can be identified under weaker data requirements, notably, without relying on the typically unavailable cross-sectional variation in input prices for instrumentation. When markets are perfectly competitive, point identification is achieved by leveraging the information contained in static optimality conditions, effectively adopting a system-of-equations approach. It is also shown how one can partially identify the non-neutral production technology in the traditional proxy variable framework when firms have market power.

This study aims to investigate the corrosion behavior of cold-rolled Fe₃₅Ni₂₀C_r12Mn_(28-x)Al_x high-entropy alloys (HEAs) using the potentiodynamic polarization technique in 1 M H₂SO₄ acid. Additionally, the influence of molybdenum (Mo) additions as inhibitors and the effect of variations in cold rolling reduction ratios and Al content on corrosion behavior are examined.

Two cold rolling reduction ratios, namely, 50% (R50) and 90% (R90), were examined for the cold-rolled Fe₃₅Ni₂₀Cr₁₂Mn₂₈Al₅ (Al₅) and Fe₃₅Ni₂₀Cr₁₂Mn₂₃Al₁₀ (Al₁₀) HEAs. Mo inhibitor additions were introduced at varying concentrations of 0.3, 0.6 and 0.9 Wt.%. The potentiodynamic polarization technique was used to evaluate the corrosion rates (CRs) under different experimental conditions.

The results indicate that the addition of 0.3 Wt.% Mo in 1 M H₂SO₄ yielded the lowest CR for both R50 and R90, irrespective of the Al content in the HEAs. However, the highest CR was observed at 0.6 Wt.% Mo addition. Furthermore, increasing the concentration of Al resulted in a corresponding rise in the CR. Comparatively, the CR decreased significantly when the cold rolling reduction ratio increased from R50 to R90.

This research provides valuable insights into the intricate relationship between Mo inhibitors, cold rolling reduction ratio, Al content and the resulting corrosion behavior of Fe₃₅Ni₂₀Cr₁₂Mn_(28-x)Al_x HEAs. The comprehensive analysis of corroded HEAs, including surface morphology, compositions and elemental distribution mapping, contributes to the understanding of the corrosion mechanisms and offers potential strategies for enhancing the corrosion behavior of HEAs.

There is a void in systematically assessing obstructive factors as antecedents in the technology acceptance model (TAM). Three obstructive factors are investigated, namely, discomfort, insecurity and risk. Besides, this study aims to propose the moderator – personal capability (PC) and tested its effects on the relationship between perceived usefulness (PU) and perceived ease of use (PEU) and behavioral intention (BI).

Quantitative data analysis was used to verify the adapted model by using Smart PLS4. The data from 327 valid respondents are analyzed.

Discomfort is a significant antecedent impacting both PU and PEU. Insecurity and risk are inhibitors of PEU and PU, respectively. This study contributes to the scarce literature on the moderating effects of PC that moderates the influence between PU and BI positively.

This study contributes a new TAM extension by incorporating obstructive factors and exploring the moderating role of personal capability about AR Glasses. This research also enables innovation companies to enhance the design of their products and services via users’ feedback.

系统评估阻碍因素作为技术接受模型（TAM）的先驱方面存在一定的空白。本研究调查了三个阻碍因素, 即不适感, 不安全感和风险。此外, 本研究提出了调节变量 - 个人能力（PC）, 并测试其对感知有用性(PU); 感知易用性（PEU）和行为意图（BI）之间关系的影响。

使用量化数据分析验证了通过Smart PLS4使用的调整模型。对327名有效受访者的数据进行了分析。

不适感是影响PU和PEU的显著先驱因素。不安全感和风险分别是PEU和PU的抑制因素。本研究在稀缺文献中贡献了个人能力的调节效应, 积极调节PU和BI之间影响的研究。

本研究通过纳入阻碍因素并探索个人能力在AR眼镜方面的调节作用, 为TAM提供了一种新的拓展。此外, 该研究还使创新公司能够通过用户的反馈来增强其产品和服务的设计。

Through critically reflecting on existing research on information and communication technology (ICT) in hospitality, the purpose of this study is to propose recommendations for future research to further narrow the theory-practice gap.

Personal experiences along with evidence from the literature provide a foundation for discussion, which is further enriched by integrating industry practitioners’ points of view.

Single-perspective and technology adoption studies have dominated ICT research in the hospitality literature. Technology effectiveness has often been measured indirectly. Oversimplifying technological issues has limited the generalizability of research findings.

Future studies are suggested to go beyond examining technology adoption, embrace multi-perspective approaches and incorporate a wider range of situational and contextual factors.

Through a unique perspective, this study highlights the limitations of previous ICT research in the hospitality literature and provides suggestions for future research to better meet the needs of practitioners. The arguments presented are not purely from an academic standpoint, as they have been endorsed by senior industry executives.

Kaiping Diaolou in Guangdong Province, China, is a UNESCO World Heritage site that is often used as a film location. This study aims to investigate the antecedents of film-induced heritage conservation behaviour in tourists visiting Kaiping Diaolou. The conceptual premises of stimulus-organism-response theory were used to provide additional insight into the impact of film- and heritage-induced images, and tourists’ perceived authenticity, destination attachment and heritage conservation intention.

The authors tested the hypotheses using covariance-based structural equation modelling by using the data collected from the 391 valid questionnaires.

The empirical results reveal that both film- and heritage-induced images have a direct impact on tourists’ heritage conservation intention. Furthermore, perceived authenticity and destination attachment fully mediate the relationship between destination image and conservation intention, while the serial multiple mediator effect in the heritage destination image model is not significant.

The findings contribute to the understanding of tourists’ heritage conservation intention through the lens of destination image, perceived authenticity and destination attachment. The study’s findings enrich the literature on film and heritage tourism regarding destination image construction and heritage conservation and have implications for the sustainable development of heritage tourism and heritage conservation, as well as the marketing of heritage sites.

位于中国广东省的开平碉楼是联合国教科文组织认证的世界文化遗产, 并经常被用作电影拍摄地。本研究调查了影响开平碉楼影视旅游游客的遗产保护行为的前因。本研究采用刺激-有机体-反应 (SOR) 理论的概念, 探究电影和遗产所诱发的目的地形象、游客的感知真实性和目的地依恋, 对游客遗产保护意图的影响。

本研究共回收 391 份有效问卷, 并使用基于协方差的结构方程模型来检验研究假设。

实证结果表明, 电影和遗产诱导的目的地形象都直接影响游客的遗产保护意愿。此外, 游客的感知真实性和目的地依恋完全中介了目的地形象与保护意愿之间的关系。但是在遗产目的地形象的模型中, 感知真实性和目的地依恋的串行多重中介效应不显着。

研究结果有助于通过目的地形象、感知真实性和目的地依恋来理解游客的遗产保护意图。本研究丰富了关于目的地形象建设和遗产保护的文献, 并对遗产旅游和遗产保护的可持续发展以及遗产地的营销产生了积极影响。

This study aims to investigate the affordances of service robots (SRs) in hotels and their effects on frontline employees (FLEs).

Purposive and referral samplings methods were used to conduct 28 semistructured interviews with hotel FLEs, and the transcribed manuscript was analyzed based on grounded theory.

The study identifies six dimensions of SR affordances: physical, sensory, task, safety, social and emotional affordances. The main effects of SR affordances on FLEs involve reducing work stress and mental fatigue and increasing positive emotions in the psychological aspects of FLEs. In terms of behavioral aspects, shifts in task priorities and enhancements in SR usage behaviors were observed. Accordingly, a mechanistic framework was revealed through which SR affordances influence FLEs via direct and indirect interactions between FLEs and SRs.

This paper expands robotics research from a supply-side perspective and is one of the few studies to investigate SR affordances in the field of hospitality research. Findings of this study provide practical guidelines for designing and implementing SRs to support hotel FLEs in their daily work.

本研究旨在调查酒店中服务机器人（SR）的可供性及其对一线员工（FLEs）的影响。

本研究采用目的性和推荐抽样方法, 对酒店一线员工进行了28次半结构化访谈, 并根据扎根理论对转录的手稿进行了分析。

本研究确定了服务机器人的六个可供性维度：物理、感官、任务、安全、社会和情感可供性。服务机器人可供性对一线员工的主要影响包括减少工作压力和心理疲劳, 以及在心理方面增加积极情绪。在行为方面, 观察到任务优先级的变化和服务机器人使用行为的增强。因此, 研究揭示了一种机制框架, 通过一线员工与服务机器人的直接和间接互动, 服务机器人可供性影响一线员工。

本文从供给侧视角扩展了机器人研究, 是少数几篇研究酒店业中服务机器人可供性的研究之一。本研究结果为设计和实施服务机器人以支持酒店一线员工的日常工作提供了实践指南。

The purpose of this empirical study is to explore the factors that influence college students' intention to engage in online gamified learning in Guangdong and Macao.

This study analyzed 289 valid questionnaires to statistically explore the factors that affect college students' intention to engage in online gamified learning.

The study discovered that extroverted learning style, perceived usefulness and perceived enjoyment have a positive and significant impact on students' intent to participate. Moreover, perceived usefulness and perceived enjoyment partially mediate the effect of extroverted learning style on the intention to engage in online gamified learning. Additionally, the impact of perceived usefulness on intention is moderated by different cultural backgrounds, with the moderation effect being stronger for Macao students than for non-Macao students.

This empirical study, based on the technology acceptance model (TAM), explores the factors that influence college students' intention to engage in online gamified learning in Guangdong and Macao and constructs a gamification acceptance model.

This study aims to conduct a bibliometric assessment of existing literature in the fields of health communication and social media in the Asian context.

Using 265 Scopus-indexed papers, a comprehensive bibliometric study was performed, incorporating both performance and science mapping analyses.

The results reveal an increasing trend in the publication of this topic. This study also identified the top author, country, articles and author collaboration clusters. Four primary themes emerged from the publications: “Papillomavirus” and “the COVID-19 pandemic” were categorized as niche themes; “gender and cohort” was identified as a basic theme; and “behavioral intention” was classified as an emerging or declining theme. These can serve as the foundations for future research directions.

This research used only the Scopus database as its data source. However, future bibliometric research could investigate other databases.

This paper has practical implications for researchers, health communication managers, government and policymakers. It provides valuable information that can guide researchers in conducting new studies, fostering collaborations and conducting further bibliometric analyses. Health communication managers can use this paper to design and manage social media-based health communication programs. The government could leverage these findings to support evidence-based policy implementation in the field of health communication.

This study, to the best of the authors’ knowledge, marks the first bibliometric analysis focused on the literature in the field of health communication and social media in the Asian context.

The massive investment in, and development of, automated and connected transport (ACT) technology development has triggered much debate about this breakthrough technology’s potential positive and negative impacts. Multiple studies have explored the potential direct implications for users in terms of road safety, ‘productive’ travel time, mobility of the elderly and physically less mobile persons, as well as indirect impacts such as reduced emissions and freed road space. Through a critical review of the literature on ACT deployment types and discussions with an expert working group on the wider impacts of ACT implementation, this chapter examines four distinct deployment types of ACT technology and their opportunities and threats in transitioning toward inclusive transport systems. Of the four types, we posit that ACT-based public transport has the greatest potential to contribute to a more inclusive mobility future. Examining the case of Singapore using policy documents, academic literature and interviews with representatives of public and private sectors and academia, the chapter draws policy recommendations for governance toward more inclusive ACT innovation and deployment.

Purpose: The study aims to analyse and discuss the effect of COVID-19 on businesses. The chapter discusses the various machine learning (ML) tools and techniques, which can help in better decision making by businesses in the present world.

Need for the Study: COVID-19 has increased the role of VUCA elements in the business environment, and there is a need to address the challenges faced by businesses in such environment. ML and artificial learning can help businesses in facing such challenges.

Methodology: The focus and approach of the chapter are in the context of using artificial intelligence (AI) and ML techniques for decision making during the COVID-19 pandemic in a VUCA business environment.

Findings: The key findings and their implications emphasise the importance of understanding and implementing AI and ML techniques in business strategies during times of crisis.

Practical Implications: The chapter’s content is in the context of using AI and ML techniques during the COVID-19 pandemic and in a VUCA business environment.