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The Chinese housing market has witnessed rapid growth during the past decade and the significance of housing price forecasting has undoubtedly elevated, becoming an important issue to investors and policymakers. This study aims to examine neural networks (NNs) for office property price index forecasting from 10 major Chinese cities for July 2005–April 2021.

The authors aim at building simple and accurate NNs to contribute to pure technical forecasts of the Chinese office property market. To facilitate the analysis, the authors explore different model settings over algorithms, delays, hidden neurons and data-spitting ratios.

The authors reach a simple NN with three delays and three hidden neurons, which leads to stable performance of about 1.45% average relative root mean square error across the 10 cities for the training, validation and testing phases.

The results could be used on a standalone basis or combined with fundamental forecasts to form perspectives of office property price trends and conduct policy analysis.

This paper aims to provide an overview of the application of blockchain to agri-food supply chains, including key issues and trends. It examines the state of the art and conceptual structure of the field and proposes an agenda to guide future research.

This article performs a bibliometric analysis using VOSviewer software on a sample of 205 articles from the WoS database to identify research trend topics.

The number of publications in this area has increased since 2020, which shows a growing research interest. The research hotspots are related to the integration of blockchain technology in the agri-food supply chain for traceability, coordination between all actors involved, transparency of operations and improvement of food safety. Furthermore, this is linked to sustainability and the achievement of the sustainable development gtoals (SDGs), while addressing key challenges in the implementation of blockchain-based technologies in the agri-food supply chain.

The application of blockchain in the agri-food supply chain may consider four key aspects. Firstly, the implementation of blockchain can improve the traceability of food products. Secondly, this technology supports sustainability issues and could avoid disruptions in the agri-food supply chain. Third, blockchain improves food quality and safety control throughout the supply chain. Fourthly, the findings show that regulation is needed to improve trust between stakeholders.

The paper provides a comprehensive overview of the blockchain phenomenon in the agri-food supply chain by optimising the search criteria. Moreover, it serves to bridge to future research by identifying gaps in the field.

The purpose of this study is to test the impact of time and price sensitivity on consumer satisfaction and purchase intention on online-to-offline (O2O) takeout platforms and explore the moderating effect of purchase preference on time sensitivity and satisfaction, as well as price sensitivity and satisfaction, in order to guide market pricing.

A structural equation model (SEM) of customer purchase intention was constructed, and the relationships between the variables (time sensitivity, price sensitivity, satisfaction and purchase intention) were examined. The completed questionnaires of 349 respondents were collected from the Questionnaire Star platform in China. The research model and hypotheses were then tested. Analytic hierarchy procedure was used to determine the moderating effect of purchase preference. Finally, the study proposes a pricing strategy for customer-active selective services.

Satisfaction positively influences purchase intention, and price sensitivity significantly increases satisfaction and further increases purchase intention; however, time sensitivity negatively affects satisfaction. Specifically, purchase preference has strongly moderated the relationship between time, price sensitivity and satisfaction. In addition, the findings show that when purchase preference is high, the effect of price sensitivity on satisfaction is stronger, suggesting the importance of purchase preference in strengthening purchase intentions. The research work recommends a pricing strategy involving value-added pricing primarily for time-sensitive customers, which can help build a high-end brand image and reduce price competition. Reduced pricing is mainly for price-sensitive customers, which is conducive to stimulating consumption within a specific time. This pricing strategy is important for adjusting market sensitivity and flexibility.

This research provides new ideas for related disciplines and guidance for the differentiated pricing and promotion of takeout platforms, as well as a theoretical basis for the diversified development of takeout platforms, improvement of personalized service quality and enhancement of customer stickiness. This study fills gaps in the existing literature on the moderating effect of purchase preference on time sensitivity and satisfaction and price sensitivity and satisfaction.

To examine how shareholding affects optimal profits, R&D innovation, NEV market scale and social welfare in two supply chain models with partial and cross ownership patterns.

The gradual retreat of government subsidies has directly weakened the financial support available to the stakeholders of new energy vehicles (NEVs). In this context, upstream and downstream enterprises of NEV are constantly seeking new business models of cooperation to achieve possible win-wins. NEV supply chain shareholding is an emerging new practice for such explorations. However, its performance in the NEV supply chain is seldom investigated. In this paper, we employ a Stackelberg game model to investigate how partial and cross-ownership affect the optimal decisions in a NEV supply chain.

Results showed that: (1) Compared with the unilateral shareholding model, the battery supplier will benefit from cross-ownership in the supply chain, while the NEV manufacturer will not necessarily benefit from it. At the same time, cross-ownership will bring the greatest incentive for battery R&D (2) Supply chain downstream competition will not necessarily lead to the improvement of the total consumption of NEVs or the level of battery design. Pareto improvement can be brought only when one of the manufacturers holds less than a certain equity threshold. In addition, downstream competition will also not necessarily bring more benefits to the battery supplier.

At present, NEV supply chain management has attracted widespread attention from scholars from all walks of life. Previous studies have been carried out that covers topics such as pricing strategies and optimal profits and the role of NEV in the sustainable development of the automotive industry supply chain, or disparate impacts of government subsidies and carbon emission regulation on supply chain members. However, as far as the authors know, compared with the new emerging NEV corporate practice, the shareholding phenomenon between upstream and downstream in the supply chain of NEV has not been studied in the existing studies.

Although numerous signal modalities are available for emotion recognition, audio and visual modalities are the most common and predominant forms for human beings to express their emotional states in daily communication. Therefore, how to achieve automatic and accurate audiovisual emotion recognition is significantly important for developing engaging and empathetic human–computer interaction environment. However, two major challenges exist in the field of audiovisual emotion recognition: (1) how to effectively capture representations of each single modality and eliminate redundant features and (2) how to efficiently integrate information from these two modalities to generate discriminative representations.

A novel key-frame extraction-based attention fusion network (KE-AFN) is proposed for audiovisual emotion recognition. KE-AFN attempts to integrate key-frame extraction with multimodal interaction and fusion to enhance audiovisual representations and reduce redundant computation, filling the research gaps of existing approaches. Specifically, the local maximum–based content analysis is designed to extract key-frames from videos for the purpose of eliminating data redundancy. Two modules, including “Multi-head Attention-based Intra-modality Interaction Module” and “Multi-head Attention-based Cross-modality Interaction Module”, are proposed to mine and capture intra- and cross-modality interactions for further reducing data redundancy and producing more powerful multimodal representations.

Extensive experiments on two benchmark datasets (i.e. RAVDESS and CMU-MOSEI) demonstrate the effectiveness and rationality of KE-AFN. Specifically, (1) KE-AFN is superior to state-of-the-art baselines for audiovisual emotion recognition. (2) Exploring the supplementary and complementary information of different modalities can provide more emotional clues for better emotion recognition. (3) The proposed key-frame extraction strategy can enhance the performance by more than 2.79 per cent on accuracy. (4) Both exploring intra- and cross-modality interactions and employing attention-based audiovisual fusion can lead to better prediction performance.

The proposed KE-AFN can support the development of engaging and empathetic human–computer interaction environment.

This study aims to address the effects of self-esteem and affective commitment on firm performance and whether these effects vary according to the gender and age of active entrepreneurial students.

This study uses a subsample from the Global University Entrepreneurial Spirit Students’ Survey (GUESSS) of entrepreneur students running their own businesses to perform a structural equation model (SEM) analysis to test the relationship between self-esteem (SE), affective commitment (AC) and firm performance (FP) moderated by the gender and age of entrepreneur students.

The results confirm that higher levels of entrepreneur SE are related to a higher assessment of AC and FP. A major effect of SE on AC was also observed among male respondents. Age was not related to an increase in AC. The effect of SE on AC and FP was lower among older students.

This study makes valuable contributions to the fields of entrepreneurship, psychology, gender and organizational behavior. This study presents empirical support for the theoretical framework using SEM, presenting initial insights into the mechanisms that shape AC in entrepreneurial students and its implications for FP.

Esta investigación tiene como objetivo analizar la influencia del género, la edad y la autoestima (SE) de los emprendedores en el compromiso afectivo (AC) de los estudiantes universitarios con sus emprendimientos y cómo se relacionan con el desempeño subjetivo de la empresa (FP).

Utilizamos los datos de la encuesta GUESSS de 2018 para realizar un modelo de ecuaciones estructurales (SEM) para determinar los efectos directos del género, la edad y la SE en el AC, sus efectos directos e indirectos en el FP y los efectos directos y papel mediador del AC hacia el FP, para estudiantes emprendedores.

Los resultados confirman que niveles más altos de SE están relacionados con niveles más altos de AC de los emprendedores a sus emprendimientos y una mayor evaluación de FP. Además, los hombres reportan niveles más altos de AC y FP que sus contrapartes femeninas, al tiempo que el género tiene un efecto importante en la relación del SE en el AC. La edad no está relacionada con el aumento del AC, pero el efecto de la SE sobre el AC disminuye con el incremento de la edad, y los valores de FP también se reducen para los estudiantes mayores en comparación con los estudiantes más jóvenes. Los niveles más altos de AC están relacionados con valores más altos de FP, y existe un efecto de mediación de AC para el género y SE sobre FP.

este estudio proporciona valiosas contribuciones a los campos del emprendimiento, la psicología, el género y el comportamiento organizacional. Primero, presentamos un marco teórico que integra postulados de emprendimiento FP, AC, SE, edad y género. Luego, probamos empíricamente nuestro marco teórico utilizando SEM y presentamos resultados iniciales sobre los mecanismos que dan forma al AC en estudiantes emprendedores y sus implicaciones para el FP.

Esta pesquisa tem como objetivo analisar a influência do gênero, da idade e da autoestima (SE) dos empreendedores no comprometimento afetivo (AC) dos universitários com seus empreendimentos e como eles se relacionam com o desempenho subjetivo da empresa (FP).

Utilizamos dados da pesquisa GUESSS de 2018 para realizar uma modelagem de equações estruturais (SEM) para determinar os efeitos diretos de gênero, idade e SE na AC, seus efeitos diretos e indiretos no FP e os efeitos diretos e papel mediador do AC na FP, para estudantes empreendedores.

Os resultados confirmam que níveis mais elevados de SE estão relacionados com níveis mais elevados de AC dos empreendedores para os seus empreendimentos e uma maior avaliação do FP. Além disso, os homens relatam níveis mais elevados de AC e FP do que as mulheres, embora tenham um efeito importante da SE na AC. A idade não está relacionada com o aumento da AC, mas o efeito do SE na AC diminui com o aumento da idade, e os valores de FP também diminuem para os alunos mais velhos em comparação com os alunos mais jovens. Níveis mais elevados de AC estão relacionados a valores mais elevados de FP, e há efeito mediador da AC para gênero e SE sobre FP.

Este estudo fornece contribuições valiosas para as áreas de empreendedorismo, psicologia, gênero e comportamento organizacional. Primeiro, apresentamos um quadro teórico que integra postulados de empreendedorismo em FP, AC, SE, idade e género. Em seguida, testamos empiricamente o nosso enquadramento teórico utilizando SEM e apresentamos resultados iniciais sobre os mecanismos que moldam o AC em estudantes empreendedores e as suas implicações para o FP.

This empirical study aims to examine luxury fashion retailers' localised multiple channel distribution strategies in China.

Through case studies of 15 participating retailers, qualitative data were collected from 33 semi-structured interviews.

Strong impacts of internationalisation strategies, distribution strategies and channel length towards multiple channel retailing are revealed. Multi-channel retailing is widely employed by firms who have entered China and further developed their businesses through local partnerships and adopted a selective distribution strategy via relatively longer channels. Omni-channel retailing is only suitable for the few retailers using an exclusive distribution strategy through direct marketing and wholly owned customer relationship management. As a dynamic transformation from multi- to omni-channel retailing, cross-channel retailing is adopted by those who are withdrawing from local partnerships and shifting to wholly owned expansions and operations in host markets.

The results are potentially challenged by relatively small sample size.

Practitioners are suggested to adapt multiple channel retailing to their international expansion strategies, distribution strategies and channel length in the host markets.

This paper contributes to the literature in both multiple channel retailing and international retailing by offering insights into the motives, development patterns and suitability of multiple channel retailing in the international retail marketing context.

The COVID-19 pandemic has generated a significant impact on several aspects of public relations practice. By adopting the theoretical framework of adaptive leadership, this research is designed to explore how an organization’s top leadership can support related adaptive action in strategic communication. Particularly, we hope to explore whether the application of adaptive leadership could facilitate a higher level of communication transparency as well as deliver a sense of caring and empathy in COVID-19 communication.

An international online survey was designed and conducted for this study. The first sample consists of 776 full-time communication professionals in the United States of America with 435 women (56.1%) and 341 men (43.9%). The second sample consists of 268 full-time communication professionals in Canada, with 110 women (41.0%) and 158 men (59.0%). The two samples were merged into the final sample of 1,044 for the data analysis.

Results confirmed that the perceived impact of the COVID-19 pandemic increased communication professionals’ challenges in building trust. It also drives adaptive changes in their coping actions in strategic communication. More importantly, the top leadership within the organization played a key role in this adaptive leadership environment by demonstrating commitment to transparency in COVID-19 communication and delivering a sense of empathy during the pandemic.

This study contributes to our understanding of strategic communication in times of crisis, such as the COVID-19 global pandemic, by focusing on the adaptive nature of communication leadership. More importantly, our study confirms the important roles of two leadership attributes (i.e. the sense of empathy and the commitment to communication transparency) in supporting adaptive leadership, which eventually influences trust building.

In 2020, an outbreak of Salmonella Stanley linked to imported dried wood ear mushrooms affected 55 individuals in the United States of America. These mushrooms, commonly used in Asian cuisine, require processing, like rehydration and cutting, before serving. The US Centres for Disease Control and Prevention advise food preparers to use boiling water for rehydration to inactivate vegetative bacterial pathogens. Little is known about how food handlers prepare this ethnic ingredient and which handling procedures could enable Salmonella proliferation.

This study used content analysis to investigate handling practices for dried wood ear mushrooms as demonstrated in YouTube recipe videos and to identify food safety implications during handling of the product. A total of 125 Chinese- and English-language YouTube videos were analysed.

Major steps in handling procedures were identified, including rehydration, cutting/tearing and blanching. Around 62% of the videos failed to specify the water temperature for rehydration. Only three videos specified a water temperature of 100 °C for rehydrating the mushrooms, and 36% of the videos did not specify the soaking duration. Only one video showed handwashing, cleaning and sanitising of surfaces when handling the dried wood ear mushrooms.

This study found that most YouTube videos provided vague and inconsistent descriptions of the rehydration procedure, including water temperature and soaking duration. Food preparers were advised to use boiling water for rehydration to inactivate vegetative bacterial pathogens. However, boiling water alone is insufficient to inactivate all bacterial spores. Extended periods of soaking and storage could be of concern for spore germination and bacterial growth. More validation studies need to be conducted to provide guidance on how to safely handle the mushrooms.

This study will make a distinctive contribution to the field of food safety by being the first to investigate the handling procedure of a unique ethnic food ingredient, dried wood ear mushrooms, which has been linked to a previous outbreak and multiple recalls in the United States of America. The valuable data collected from this study can help target food handling education as well as influence future microbial validation study design and risk assessment.