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The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain.

A scoping review was conducted using six inclusive and exclusive criteria agreed upon by the author team. The collected studies, which focused on the adoption of AI in entrepreneurship education, were analysed by the team with regards to various aspects including the definition of intelligent technology, research question, educational purpose, research method, sample size, research quality and publication. The results of this analysis were presented in tables and figures.

Educators introduced big data and algorithms of machine learning in entrepreneurship education. Big data analytics use multimodal data to improve the effectiveness of entrepreneurship education and spot entrepreneurial opportunities. Entrepreneurial analytics analysis entrepreneurial projects with low costs and high effectiveness. Machine learning releases educators’ burdens and improves the accuracy of the assessment. However, AI in entrepreneurship education needs more sophisticated pedagogical designs in diagnosis, prediction, intervention, prevention and recommendation, combined with specific entrepreneurial learning content and entrepreneurial procedure, obeying entrepreneurial pedagogy.

This study holds significant implications as it can shift the focus of entrepreneurs and educators towards the educational potential of artificial intelligence, prompting them to consider the ways in which it can be used effectively. By providing valuable insights, the study can stimulate further research and exploration, potentially opening up new avenues for the application of artificial intelligence in entrepreneurship education.

The high turnover rate among interns exacerbates the shortage of human resources in the hospitality industry. This study is based on previous concerns about the impact of occupational stigma and internship on turnover intention. This study aims to explore how the career adaptability of interns influences their perception of occupational stigma and occupational identity.

By using stratified sampling, semistructured interviews were conducted with 34 respondents who had academic and vocational education backgrounds. The data analysis was performed using the thematic analysis method.

This study demonstrates that a high level of career adaptability helps to reduce interns’ perception of occupational stigma and strengthen their occupational identity. Students from academic and vocational schools display different levels of career adaptability in terms of job matching and career promotion. In addition, the long-term influence on occupational identity is more significant from professional development potential compared to job adaptation.

This study provides valuable insights into the complex relationship between occupational stigma and occupational identity from the perspective of career adaptability. Moreover, it highlights the importance of job adaption, matching, promotion and professional development in retaining talent within the hospitality industry.

This study innovatively focuses on job matching and career promotion for coping with occupational stigma. It also considers interns’ educational backgrounds, facilitating further understanding of occupational identity under the influence of stigma. A fresh perspective on talent adaptation and retention in the hospitality industry is provided.

实习生的高流动率加剧了酒店业人力资源的短缺。本研究在职业污名与实习对离职倾向影响的研究基础上, 主要探讨了实习生的职业适应如何影响其职业污名感知和职业认同。

研究采用分层抽样的方法, 对34名拥有学术和职业教育背景的受访者进行半结构访谈, 并采用主题分析法进行数据分析。

研究发现, 良好的职业适应有助于减少实习生的职业污名感知, 并增强其职业认同。学术学校和职业学校的学生在工作匹配和职业晋升方面表现出不同程度的职业适应。此外, 职业发展潜力对职业认同的影响比工作适应更加长远。

本研究从职业适应的角度对职业污名与职业认同之间的复杂关系提供了有价值的见解。此外, 它还强调了工作适应、匹配、晋升和专业发展在酒店业人才保留方面的重要性。

本研究创新地关注了职业匹配与职业晋升对应对职业污名和提升职业认同的影响。研究还考虑了实习生教育背景的差异性, 进一步深化对污名影响下的职业认同的理解, 为酒店行业的人才适应和保留提供了一个新的研究视角。

La elevada tasa de rotación entre los trabajadores en prácticas agrava la escasez de recursos humanos en el sector de la hostelería. Este estudio se basa en preocupaciones previas sobre el impacto del estigma ocupacional y las prácticas en la intención de rotación. Explora principalmente cómo influye la adaptabilidad profesional de los becarios en su percepción del estigma ocupacional y la identidad ocupacional.

Mediante un muestreo estratificado, se realizaron entrevistas semiestructuradas a 34 encuestados con formación académica y profesional. El análisis de los datos se realizó mediante el método de análisis temático.

Este estudio demuestra que un alto nivel de adaptabilidad profesional contribuye a reducir la percepción de estigma ocupacional de los estudiantes en prácticas y a reforzar su identidad ocupacional. Los estudiantes de escuelas académicas y de formación profesional muestran diferentes niveles de adaptabilidad profesional en términos de adecuación al puesto de trabajo y promoción profesional. Además, la influencia a largo plazo sobre la identidad ocupacional es más significativa del potencial de desarrollo profesional en comparación con la adaptación laboral.

El estudio aporta información valiosa sobre la compleja relación entre el estigma ocupacional y la identidad ocupacional desde la perspectiva de la adaptabilidad profesional. Además, pone de relieve la importancia de la adaptación del puesto de trabajo, el emparejamiento, la promoción y el desarrollo profesional para retener el talento dentro de la industria de la hostelería.

Este estudio se centra de forma innovadora en la adecuación al puesto de trabajo y la promoción profesional para hacer frente al estigma laboral. También tiene en cuenta los antecedentes educativos de los becarios, lo que facilita una mayor comprensión de la identidad ocupacional bajo la influencia del estigma. Se aporta una nueva perspectiva sobre la adaptación y la retención del talento en la industria de la hostelería.

The benefits of artificial intelligence (AI) related technologies for manufacturing firms are well recognized, however, there is a lack of industrial AI (I-AI) maturity models to enable companies to understand where they are and plan where they should go. The purpose of this study is to propose a comprehensive maturity model in order to help manufacturing firms assess their performance in the I-AI journey, shed lights on future improvement, and eventually realize their smart manufacturing visions.

This study is based on (1) a systematic review of literature on assessing I-AI-related technologies to identify relevant measured indicators in the maturity model, and (2) semi-structured interviews with domain experts to determine maturity levels of the established model.

The I-AI maturity model developed in this study includes two main dimensions, namely “Industry” and “Artificial Intelligence”, together with 12 first-level indicators and 35 second-level indicators under these dimensions. The maturity levels are divided into five types: planning level, specification level, integration level, optimization level, and leading level.

The maturity model integrates indicators that can be used to assess AI-related technologies and extend the existing maturity models of smart manufacturing by adding specific technical and nontechnical capabilities of these technologies applied in the industrial context. The integration of the industry and artificial intelligence dimensions with the maturity levels shows a road map to improve the capability of applying AI-related technologies throughout the product lifecycle for achieving smart manufacturing.

This research explores the impact of classical aesthetics (e.g. order and symmetry) and expressive aesthetics (e.g. creativity and distinctiveness) on consumer green consumption.

This research conducted three studies. Study 1 explored the main effect of appearance aesthetics (appearance: plain vs classical vs expressive) on green products purchase intention through a one-factor between-subjects design. Study 2 verified the mediating role of perceived naturalness through two types of appearance aesthetics (appearance: classical vs expressive) between-subjects design. Study 3 verified the moderating role of product identity-symbolic attributes through a 2 (product identity-symbolic attributes: non-identity-symbolic vs identity-symbolic attributes) × 2 (appearance: classical aesthetics vs expressive aesthetics) between-subjects design.

Consumers will be more likely to purchase a green product that has classical aesthetics appearance (vs expressive aesthetics). Perceived naturalness mediates the effect of aesthetic appearance on consumer green consumption. Product identity symbol attributes moderate this effect. Specifically, for non-identity-symbolic green products, classical aesthetics can effectively enhance consumer purchase intention. For identity-symbolic green products, expressive aesthetics can effectively enhance consumer purchase intention.

Existing research suggests that aesthetic appearance can increase consumers’ evaluation of electronic products, beauty products and food, but the difference between aesthetics has not yet been explored. This research compares two aesthetics, contributing to the literature on aesthetic appearance in green products and offering valuable insights for managers’ green products marketing.

The purpose of this research is to explore how experienced scarcity affects home country consumers' attitudes toward the firm engaging in cross-border philanthropy by analyzing perceived distributive justice as a mediating variable. This research also investigates the moderating factor of this effect to identify practical strategies for managers.

This research conducted one survey (Study 1) and three experiments (Studies 2–4) by manipulating scarcity to provide robust evidence for the influence of experienced scarcity on consumer perception of the company conducting cross-border philanthropy.

This paper provides empirical insights about the significant negative effect of experienced scarcity on consumer attitudes toward the firm engaging in cross-border philanthropy. It proposes that home country consumers with high versus low experienced scarcity show lower perceived distributive justice for cross-border philanthropy, which generates less favorable attitudes toward the firm. To alleviate the negative impact of experienced scarcity on consumers' perceptions of corporate reputation, providing donation amount comparisons between home and foreign countries has a significant moderating effect.

This paper provides several suggestions for marketers seeking cross-border philanthropy to improve consumers' attitudes toward the firm.

This paper enriches the literature on corporate social responsibility in the domain of cross-border philanthropy and explains contradictory findings on consumers' attitudes toward corporate cross-border philanthropy. Moreover, this study makes meaningful contributions to the scarcity and justice literature.

This paper examines the performance in value‐added terms of the local clothing manufacturing industry. A longitudinal study was carried out by means of analysing industry production data over a period of ten years. Results seemed not to support the proposition that the industry had shifted to focus on higher value‐added production so as to improve its productivity. On the contrary, there was a strong indication that a gradual decay of productivity in value‐added terms had occurred. The paper concluded with suggesting a few probable reasons for the apparent reduction in value‐added productivity of the industry and recommendations for further research in related areas.

Building on the theory of brand psychological ownership, this paper aims to explore the mediating role of brand psychological ownership in the relationship between brand personality (innocence/coolness) and consumers’ preferences, as well as identify the boundary conditions of this relationship.

To test the hypotheses, a series of four experiments were conducted in Wuhan, a city in southern China, using questionnaires administered at two universities and two supermarkets. Hypotheses were tested using PLS-SEM in SmartPLS 4.

The results indicate that brand personality, specifically the dimensions of innocence and coolness, has a significant impact on consumers’ brand preferences. Brands with a cool personality are preferred over those with an innocent personality. Moreover, the relationship between brand personality and consumers’ brand preferences is moderated by power motivation and identity centrality.

This study contributes to the literature by differentiating between brand personality of innocence and coolness as two separate constructs and proposing brand psychological ownership as a mechanism through which brand personality affects brand preferences. The study’s samples were drawn from universities and supermarkets in southern China, providing evidence for the significant moderating effects of power motivation and identity centrality on consumers’ brand preferences.

This study aims to investigate the effect of post-treatment on anti-corrosion performance of Al coating on the surface of Ti-6Al-4V (TC4) fastener.

The Al coatings with different layer structures were prepared on TC4 by middle-frequency and direct-current combined magnetron sputtering. The cross-sectional morphology and surface roughness of coatings were characterized by scanning electron microscope and atomic force microscope. The corrosion resistance was evaluated by electrochemical method. The monolayer coating was post-treated by Alodine chemical conversion, Ar⁺ bombardment and a combination of two methods above.

The results show that the interfaces in bilayer and trilayer coatings reduce the defects. Ar⁺ bombardment reduces the corrosion current density, and Alodine chemical conversion leads to a higher pitting corrosion potential. The combined post-treatment has the highest polarization resistance.

The corrosion resistance of the Al coating is enhanced as the layer quantity increases. The combination of two post-treatments, Ar⁺ bombardment and Alodine chemical conversion, could achieve an overall improvement in corrosion resistance of Al coating.

As a common form of failure in industry, corrosion causes huge economic losses. At present, with the development of computational techniques, artificial intelligence (AI) is playing a more and more important role in the field of scientific research. This paper aims to review the application of AI in corrosion protection research.

In this paper, the role of AI in corrosion protection is systematically described in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction.

With efficient and in-depth data processing methods, AI can rapidly advance the research process in terms of anticorrosion materials and methods, corrosion image recognition and corrosion life prediction and save on costs.

This paper summarizes the application of AI in corrosion protection research and provides the basis for corrosion engineers to quickly and comprehensively understand the role of AI and improve production processes.

This study aimed to explore the spatial accessibility dynamics of urban parks and their driving forces from 1901 to 2010 in terms of the dynamic relationships between spatial morphology and road networks, taking Nanjing City as an example.

This study mapped and examined the spatiotemporal distribution of urban parks and road networks in four time points at Nanjing: the 1910s, 1930s, 1960s and 2010s, using the analysis methodology of spatial design network analysis, kernel density estimation and buffer analysis. Two approaches of spatial overlaying and data analysis were adopted to investigate the accessibility dynamics. The spatial overlaying compared the parks' layout and the road networks' core, subcore and noncore accessible areas; the data analysis clarified the average data on the city-wide and local scales of the road networks within the park buffer zone.

The analysis of the changing relationships between urban parks and the spatial morphology of road networks showed that the accessibility of urban parks has generally improved. This was influenced by six main factors: planning implementation, political policies, natural resources, historical heritage and cultural and economic levels.

The results provide a reference for achieving spatial equity, improving urban park accessibility and supporting sustainable urban park planning.

An increasing number of studies have explored the spatial accessibility of urban parks through the relationships between their spatial distribution and road networks. However, few studies have investigated the dynamic changes in accessibility over time. Discussing parks' accessibility over relatively long-time scales has practical, innovative and theoretical values; because it can reveal correlational laws and internal influences not apparent in short term and provide reference and implications for parks' spatial equity.