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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.

This study aims to examine the empirical linkages among emotional experiences, national identity and behavioural intentions for red tourism in China.

Partial least squares structural equation modelling was applied to data from two rounds of surveys of 1,095 on-site visitors to Zunyi and Yan’an, two well-known red tourism cities in China.

Emotional experiences significantly affect national identity, with positive emotions significantly affecting national identity. Positive emotions also significantly influenced behavioural intentions, national identity positively influenced behavioural intentions and national pride mediated the relationship of “positive emotion → behavioural intentions”. In addition, previous experience played a moderating role in the relationship of “positive emotion → national pride”.

This research produced new insights on red tourism emotional experiences by clarifying its types, connotations and influences. It contributes to a better understanding of national identity antecedents and outcomes in red tourism. Findings revealed the significant role of red tourism in cultivating national identity and provide implications for academic research and practical development of red tourism.

本研究旨在考察中国红色旅游者的情绪体验、国家认同和行为意向之间的影响关系及其作用机制。

采用偏最小二乘法结构方程模型(PLS-SEM), 对来自中国红色旅游圣地——遵义和延安的1095名现场游客的问卷调查数据进行了统计分析。

情绪体验对国家认同会产生显著影响。其中, 积极情感会显著正向影响国家认同。同时, 积极情感也会对行为意向产生显著正向影响。此外, 国家认同对行为意向具有积极影响, 且国家自豪感在“积极情感→行为意图”的影响关系中充当中介作用。最后, 研究还发现旅游经历在“积极情感→国家自豪感”的影响关系中具有显著的调节作用。

本研究通过阐明红色旅游情绪体验的类型、内涵及其影响关系, 为深入理解红色旅游情绪体验提供了一个全新的视角。同时, 文章还进一步厘清了红色旅游情境中国家认同感的形成前因和影响结果的作用机理。研究结论揭示了红色旅游在培育国家认同感方面的重要价值, 并为红色旅游的学术研究和实践发展提供了重要启示。

Esta investigación examinó los vínculos empíricos entre las experiencias emocionales, la identidad nacional y las intenciones de comportamiento para del turismo rojo en China.

Se aplicó el análisis de ecuaciones estructurales basado en mínimos cuadrados parciales (PLS - SEM) a los datos recogidos mediante dos rondas de encuestas realizadasa 1.095 visitantes in situ en Zunyi y Yan'an, dos conocidas ciudades de turismo rojo de China.

Las experiencias emocionales afectan significativamente a la identidad nacional, y las emociones positivas influyen significativamente en la identidad nacional. Las emociones positivas también influyeron significativamente en las intenciones de comportamiento; la identidad nacional influyó positivamente en las intenciones de comportamiento y el orgullo nacional medió la relación “emoción positiva → intenciones de comportamiento”. Además, la experiencia previa desempeñó un papel moderador en la relación “emoción positiva → orgullo nacional”.

Esta investigación aportó nuevos hallazgos sobre las experiencias emocionales del turismo rojo al aclarar sus tipos, connotaciones e influencias. Contribuye a una mejor comprensión de los antecedentes y resultados de la identidad nacional en el turismo rojo. Los resultados de la investigación revelan el importante papel del turismo rojo en el cultivo de la identidad nacional y ofrecen implicaciones para la investigación académica y el desarrollo práctico del turismo rojo.

This paper aims to introduce a joint DEMATEL and NK methodology to develop a process model for introducing and implementing relational supply chain practices for low-carbon supply chains. Using this process model as a guide, insights into specific practices and how to implement these relational practices to achieve competitive advantage across organizations are introduced.

Low-carbon cooperation practices framework based on the relational view is developed. A methodology based on DEMATEL and the NK model is used to construct a sequential process model for introducing and implementing these relational practices. Empirical data from three manufacturing organizations in China are utilized to validate the model.

Initial results provide a sequence of relational practices for guiding those organizations and their suppliers for healthy and low-carbon development. Interdependencies between relational practices are analyzed and evaluated from four aspects. Insights into the broader application of the methodology and initial results from both a research and managerial perspective are presented, especially with consideration of the China, an emerging economy, context.

The methodology remains relatively abstract in nature, yet the tool can provide very useful interpretations and information for both researchers and practitioners.

This paper stipulates that in addition to internal operational practices, the relational practices between buyer and supplier may be equally important to achieve a low-carbon outcome, especially in supply chain setting. This paper also shows that not only the relational practice itself but also the implementation sequence of the relational practices can relate to performance. According to the authors’ initial results, organizations in this study should first develop product development cooperation, then exchange carbon knowledge and implement effective governance and last build a trust relationship with its suppliers for low-carbon cooperation.

This is one of the few approaches that directly evaluates and identifies the interdependencies among relational practices and to construct a process model for introducing and implementing low-carbon supply chain cooperation. It is also the first time that the NK model has been integrated with DEMATEL. Focusing on Chinese supply chain carbon emissions concerns is also a unique perspective.

Fake news in cyberspace has greatly interfered with national governance, economic development and cultural communication, which has greatly increased the demand for fake news detection and intervention. At present, the recognition methods based on news content all lose part of the information to varying degrees. This paper proposes a lightweight content-based detection method to achieve early identification of false information with low computation costs.

The authors' research proposes a lightweight fake news detection framework for English text, including a new textual feature extraction method, specifically mapping English text and symbols to 0–255 using American Standard Code for Information Interchange (ASCII) codes, treating the completed sequence of numbers as the values of picture pixel points and using a computer vision model to detect them. The authors also compare the authors' framework with traditional word2vec, Glove, bidirectional encoder representations from transformers (BERT) and other methods.

The authors conduct experiments on the lightweight neural networks Ghostnet and Shufflenet, and the experimental results show that the authors' proposed framework outperforms the baseline in accuracy on both lightweight networks.

The authors' method does not rely on additional information from text data and can efficiently perform the fake news detection task with less computational resource consumption. In addition, the feature extraction method of this framework is relatively new and enlightening for text content-based classification detection, which can detect fake news in time at the early stage of fake news propagation.

The purpose of this paper is to threefold. The first purpose is to review and critically analyze corporate sustainability development (CSD) research in China. Second, the paper extracts a unified theoretical framework among CSD drivers, CSD practices, and corporate performance in China. Finally, it seeks to identify links between CSD and industrial management and data systems (IMDS) topics.

A comprehensive and structured review of the research literature investigating CSD in China was completed. Categorizations and classifications of the literature were summarized. A critical analysis of the literature resulted in a generic theoretical framework that can be used for evaluation of the literature and further investigation.

The literature review found over 189 papers on CSD in China published from 1997 to 2013. The framework developed focussed on relationships among drivers, practices, and performance within a CSD in China context. The framework provides useful insights into the implementation of CSD practices. The integration of the three dimensions of sustainability and decision-making methodology are still rare. Specific features of CSD are also reviewed with a linkage to IMDS research around information technology, business process modeling, and supply chain management.

This is one of the first works to provide a comprehensive focus on CSD in China. The theoretical framework was developed for CSD in China to clarify the relationships between the drivers, the corporation’s characteristics, CSD practices, and corporation performance and will prove useful for future research development and investigation. The linkage to IMDS topics is novel and will help further research related to CSD in China for this journal.

This study aims to characterize the behavior of blended concrete, including metakaolin (MK) and quarry dust (QD), as supplementary cementing materials. The study focuses on evaluating the effects of these materials on the fresh and hardened properties of concrete.

MK, a pozzolanic material, and QD, a fine aggregate by-product, are potentially sustainable alternatives for enhancing concrete performance and reducing environmental impact. The addition of different percentages of MK enhances the pozzolanic reaction, resulting in improved strength development. Furthermore, the optimum dosage of MK, mixed with QD, and mechanical properties like compressive, flexural and split tensile strength of concrete were evaluated to investigate the synergetic effect of MK and quarry dust for M20-grade concrete.

The results reveal the influence of metakaolin and QD on the overall performance of blended concrete. Cost analysis showed that the optimum mix can reduce the 7%–8% overall cost of the materials for M20-grade concrete. Energy analysis showed that the optimum mix can reduce 7%–8% energy consumption.

The effective utilization is determined with the help of the analytical hierarchy process method to find an optimal solution among the selected criteria. According to the AHP analysis, the optimum content of MK and quarry dust is 12% and 16%, respectively, performing best among all other trial mixes.