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Relying on the development of big data, internet technology, and digital trade, consumers are seeking cross-border e-commerce platforms increasingly. Platform-based advertising communication, characterized by low cost and wide coverage, is notable as one of the marketing strategies favored most within general cross-border e-commerce platforms. It furnishes consumers with abundant shopping options while it exerts influence on their purchasing decisions concurrently. Using Behavioral Reasoning Theory to explore in-platform advertisements' effect on consumer purchasing decisions in cross-border e-commerce platforms, this study introduces advertising features as moderating variables. From the perspectives of self-efficacy, behavioral rationality, and inclusiveness, a behavioral reasoning model for consumer purchasing decisions is constructed. This paper focuses on cross-border e-commerce platform consumers as the research object, and uses Partial Least Squares Structural Equation Modelling (PLS-SEM) to analyze the data and validate the model. The results show that self-efficacy and behavioral rationality can have a direct effect on consumers' purchase decision-making behaviors, while self-efficacy plays a significant mediating role between behavioral reasonableness and purchase decision-making behaviors. Inclusiveness has a significant direct effect on self-efficacy and behavioral reasonableness; moreover, advertisement characteristics have a significant negative moderating effect on inclusiveness and behavioral reasonableness-adoption. This study revealed the influencing mechanisms of consumers' purchasing decision behavior on cross-border e-commerce platforms, and expands the scope of Behavioral Reasoning Theory's application. Further, it provides valuable insights for the development of cross-border e-commerce platforms that have both theoretical and practical significance.

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The surge in internet accessibility has transformed wildlife trade by facilitating the acquisition of wildlife through online platforms. This scenario presents unique ethical challenges for researchers, as traditional ethical frameworks for in-person research cannot be readily applied to the online realm. Currently, there is a lack of clearly defined guidelines for appropriate ethical procedures when conducting online wildlife trade (OWT) research. In response to this, we consulted the scientific literature on ethical considerations in online research and examined existing guidelines established by professional societies and ethical boards. Based on these documents, we present a set of recommendations that can inform the development of ethically responsible OWT research. Key ethical challenges in designing and executing OWT research include the violation of privacy rights, defining subjects and illegality, and the risk of misinterpretation or posing risks to participants when sharing data. Potential solutions include considering participants' expectations of privacy, defining when participants are authors versus subjects, understanding the legal and cultural context, minimizing data collection, ensuring anonymization, and removing metadata. Best practices also involve being culturally sensitive when analyzing and reporting findings. Adhering to these guidelines can help mitigate potential pitfalls and provides valuable insights to editors, researchers, and ethical review boards, enabling them to conduct scientifically rigorous and ethically responsible OWT research to advance this growing field.

Los retos éticos de la investigación del mercado virtual de fauna Resumen El incremento en el acceso al internet ha transformado el mercado de fauna ya que facilita la adquisición de ejemplares a través de plataformas virtuales. Este escenario representa un reto ético único para los investigadores, pues los marcos éticos tradicionales para la investigación en persona no pueden aplicarse fácilmente en línea. Actualmente no hay lineamientos claros para el procedimiento ético apropiado cuando se investiga el mercado virtual de fauna (MVF). Como respuesta, consultamos la literatura científica sobre las consideraciones éticas en la investigación en línea y analizamos los lineamientos existentes establecidos por las sociedades profesionales y los comités éticos. Con base en estos documentos, presentamos un conjunto de recomendaciones que pueden guiar el desarrollo de la investigación sobre el MVF con responsabilidad ética. Los retos más importantes para el diseño y ejecución de la investigación sobre el MVF incluyen la violación del derecho a la privacidad, la definición de los sujetos y la ilegalidad y el riesgo de malinterpretar o presentar riesgos para los participantes cuando se comparten datos. Las soluciones potenciales incluyen considerar las expectativas de privacidad de los participantes, definir cuándo los participantes son autores y cuándo sujetos, entender el contexto legal y cultural, minimizar la recolección de datos, asegurar el anonimato y eliminar los metadatos. Las mejores prácticas también involucran la sensibilidad cultural cuando se analizan y reportan los resultados. La adhesión a estos lineamientos puede mitigar los posibles retos y proporcionar información valiosa para los editores, investigadores y comités de ética, permitiéndoles realizar una investigación con rigor científico y responsabilidad ética sobre el MVF para avanzar en este campo creciente de investigación.

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Reptiles and amphibians are popular in the exotic pet trade, where Australian species are valued for their rarity and uniqueness. Despite a near-complete ban on the export of Australian wildlife, smuggling and subsequent international trade frequently occur in an unregulated and unmonitored manner. In 2022, Australia listed over 100 squamates in Appendix III of the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) to better monitor this trade. We investigated current trade and assessed the value of this Australian CITES listing using web-scraping methods to monitor the online pet trade in Australian reptiles and amphibians, with additional data from published papers, trade databases, and seizure records. Despite the export ban, we identified 170 endemic herpetofauna (reptile and amphibian) species in international trade, 33 of which were not recorded previously in the international market, including 6 newly recorded genera. Ninety-two traded species were included in CITES appendices (59 added in 2022), but at least 78 other traded species remained unregulated. Among these, 5 of the 10 traded threatened species were unlisted, and we recommend they be considered for inclusion in CITES Appendix III. We also recommend the listing of all Diplodactylidae genera in Appendix III. Despite this family representing the greatest number of Australian species in trade, only one genus (of 7 traded) was included in the recent CITES amendments. Overall, a large number of Australian reptile and amphibian species are traded internationally and, although we acknowledge the value of Australia's recent CITES listing, we recommend the consideration of other taxa for similar inclusion in CITES.

Escala del mercado internacional no regulado de reptiles y anfibios australianos Resumen Los reptiles y anfibios son populares en el comercio de mascotas exóticas, en el que las especies australianas son valoradas por su rareza y singularidad. A pesar de la prohibición casi total de la exportación de fauna silvestre australiana, el contrabando y el comercio internacional posterior se producen con frecuencia de forma no regulada y no supervisada. En 2022, Australia incluyó más de 100 escamosos en el apéndice III de la Convención sobre el Comercio Internacional de Especies Amenazadas de Fauna y Flora Silvestres (CITES) para controlar mejor este comercio. Investigamos el comercio actual y evaluamos el valor de esta inclusión en CITES con métodos de raspado web para monitorear el comercio virtual de reptiles y anfibios australianos como mascotas, con datos adicionales de artículos publicados, bases de datos comerciales y registros de incautaciones. A pesar de la prohibición de las exportaciones, identificamos 170 especies endémicas de herpetofauna (reptiles y anfibios) en el comercio internacional, 33 de las cuales no se habían registrado previamente en el mercado internacional, incluidos 6 géneros registrados recientemente. Noventa y dos especies comercializadas se incluyeron en los apéndices de CITES (59 añadidas en 2022), pero al menos otras 78 especies comercializadas permanecieron sin regular. Entre ellas, cinco de las diez especies amenazadas comercializadas no estaban incluidas y recomendamos que se considere su inclusión en el apéndice III de CITES. También recomendamos la inclusión de todos los géneros de Diplodactylidae en el apéndice III. A pesar de que esta familia representa el mayor número de especies australianas en el comercio, sólo un género (de 7 comercializados) fue incluido en las recientes enmiendas de CITES. En general, un gran número de especies de reptiles y anfibios australianos son objeto de comercio internacional y, aunque reconocemos el valor de la reciente inclusión de Australia en CITES, recomendamos que se consideren otros taxones para su similar inclusión.

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Trade in undomesticated ornamental animals has rapidly expanded beyond brick-and-mortar retail stores to now include growing numbers of internet marketplaces. The growing volume, diversity, and origins of invasive non-native species in trade challenge already weak national biosecurity policies. Despite widespread focus on vertebrates, many knowledge gaps exist regarding the online global trade of ornamental invertebrates. We conducted the first global assessment of the online trade in and associated invasion risk of freshwater crayfishes, which are increasingly popular aquarium animals. We systematically examined e-commerce marketplaces in multiple languages, scrapping information that included species identity, price, quantity, and shipping designation from each crayfish listing. Next, we combined geographic pathways of shipping associated with online trade (introduction risk) and environmental suitability modeling (establishment risk) to estimate global risk of non-native crayfish invasion risk. We identified hundreds of online marketplaces and thousands of sale listings in 33 countries (5 continents) involving 60 species and representing a selling value of ∼US$1.5 million. Invasion risk of non-native crayfish in trade was widespread, with geographic hotspots coinciding with both elevated opportunities for introduction (greater shipping offerings) and establishment. Precise characterization of the online species trade is fundamental to support new and reformed biosecurity policies, build industry partnerships, and design educational campaigns to prevent species invasions through trade. We found that the taxonomy, geography, and economics of the global online ornamental crayfish trade are vast and require greater attention.

Invasión global y riesgos de bioseguridad a partir del mercado virtual de langostinos de ornato Resumen El comercio de animales ornamentales silvestres se ha expandido rápidamente más allá de las tiendas minoristas para incluir un número creciente de tiendas en línea. El creciente volumen, diversidad y origen de las especies no nativas invasoras en el comercio suponen un reto para las ya débiles políticas nacionales de bioseguridad. A pesar de la gran atención que se presta a los vertebrados, existen muchos vacíos en el conocimiento sobre el comercio mundial en línea de invertebrados ornamentales. Realizamos la primera evaluación mundial del comercio virtual de langostinos de agua dulce, animales de ornato cada vez más populares, y el riesgo de invasión asociado. Analizamos sistemáticamente los mercados de comercio electrónico en varios idiomas, recopilando información que incluía la identidad de las especies, el precio, la cantidad y la designación de envío de cada listado de langostinos. Después combinamos las vías geográficas de envío asociadas al comercio en línea (riesgo de introducción) y los modelos de idoneidad ambiental (riesgo de establecimiento) para estimar el riesgo global de invasión de los langostinos no nativos. Identificamos cientos de mercados en línea y miles de listados de venta en 33 países (cinco continentes) que afectaban a 60 especies y representaban un valor de venta de ∼1.5 millones de dólares estadunidenses. El riesgo de invasión de langostinos no nativos en el comercio fue extenso, con puntos geográficos críticos que coincidían con elevadas oportunidades de introducción (mayores ofertas de envío) y de establecimiento. La caracterización precisa del comercio virtual de especies es fundamental para respaldar políticas de bioseguridad nuevas y reformadas, establecer alianzas con la industria y diseñar campañas educativas para prevenir las invasiones de especies a través del comercio. Descubrimos que la taxonomía, la geografía y la economía del comercio mundial en línea de langostinos de ornato es amplio y requiere mayor atención.

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This study compares hindering and fostering factors for SMEs in China and Sri Lanka in their internationalization efforts through e-commerce. The study uses qualitative research methods to examine how SMEs in both countries utilize e-commerce platforms for global expansion. Narrative and thematic analysis techniques focus on manufacturing sector SMEs actively engaged in global expansion through e-commerce. Purposive sampling is used to select participants. The findings reveal shared patterns and distinctive characteristics in the digital transformation of SMEs. Chinese SMEs benefit from product popularity and advanced technologies, while Sri Lankan SMEs face challenges accessing financial resources and advanced technologies. Perspectives on innovation and regulatory/cross-cultural considerations vary. Supportive government policies and infrastructure are crucial for SME internationalization. The research provides insights for policymakers, researchers, and practitioners to enhance SME development and promote cross-national collaborations in the digital era.

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The data presented in this article is based on a questionnaire survey regarding e-commerce and business digitalization of SMEs in Mexico answered by the CEOs of the companies. A valid sample of 4121 Mexican SMEs was collected covering many industries, such as primary sector, extractive industries, manufacturing industries, energy, water, recycling, construction, trade, services, and others. The data includes information about the implementation of e-commerce, business digitalization, operational efficiency, corporate performance, and other demographic indicators of the sampling firms. The link between e-commerce and corporate performance is still underexplored in SMEs, even more so between companies from Latin America, being Mexico a perfect example to explore how different SMEs adapt and thrive due to the rapid growth of their e-commerce and the diversity of their business sectors (Santos-Jaén et al., 2023 [2]). Data analysis was conducted using SPSS and Smart PLS. The data are useful as the data can be reproduced, reused and reanalyzed paying special attention to group-specific effects. This data article also opens up better research opportunities going forward through collaboration with other researchers.

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The e-commerce landscape is evolving rapidly, and businesses seek novel ways to enhance their competitive edge. In this context, understanding consumers' purchase intentions becomes crucial. Drawing from the Stimulus-Organism-Response (SOR) theory, we propose a conceptual framework investigating the factors influencing purchase intention in e-commerce live-streaming marketing. The research adopts Structural Equation Modeling (SEM), Confirmatory Factor Analysis (CFA), and hypothesis testing to evaluate the relationships. The findings revealed that the attributes of live streaming, including the live streamer, the product, and the field, as well as trust and impulsiveness, positively influence purchase intention. This study provides a novel perspective on live streaming e-commerce with evidence on how e-commerce live streaming drives purchase intentions, enriches the content of live streaming e-commerce literature, and explores the practical implications for marketing managers who are looking for marketing by live streaming.

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As the main form of digital trade, cross-border e-commerce plays an important role, allowing China to expand its opening-up and promote the optimal foreign trade structure. It also provides opportunities for Chinese enterprises to develop digital technology. From the perspective of the establishment of China's cross-border e-commerce comprehensive pilot zone (CBECPZ), this article uses the multi-period DID method to examine the effects of cross-border e-commerce on enterprise digital technology innovation based on listed companies in the Shanghai and Shenzhen stock markets from 2007 to 2020. The CBECPZ dramatically promotes enterprise digital technology innovation. The mechanism test shows that the CBECPZ promotes digital technology innovation by financing constraint alleviation, digital transformation, and producer service industry agglomeration. The heterogeneity test shows that the direct effect is more significant in the enterprises of large-scale, non-state-owned, with high ICT correlation and in areas with strong government resource allocation capabilities. The research findings have important reference value for how to utilize cross-border e-commerce to promote digital technology innovation, and they also provide directional references for other developing countries to develop cross-border e-commerce.

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As a product combining information and communication technology, digital technology, and traditional trade, digital trade represents a new form of international trade development in the context of economic globalization. As its scale continues to expand, digital trade not only profoundly impacts consumer health behaviors and environmental pollution control but also enhances opportunities for residents to access healthcare products and services. This could potentially have a significant promoting effect on residents' health levels. However, the extent and mechanisms through which digital trade affects residents' health remain unclear. Accordingly, this study fills in a gap in the research by calculating the provincial-level digital trade index for China from 2012-2020 and matching it with data from the China Family Panel Studies. The goal is to find the micro-causal mechanisms of digital trade on residents' health from green consumption and environmental improvement perspectives. The results show that digital trade reduces residents' medical expenses and improves their health. We use a quasi-natural experiment by treating the cross-border e-commerce comprehensive pilot zone as a digital trade treatment group and conducting a difference-in-differences estimation, finding that the health effects of digital trade remain significant. Heterogeneity indicates that the health effects of digital trade are powerful for middle- and high-income households and rural residents. In the east and center, in regions with well-developed transportation infrastructure and digital financial inclusion, the development of digital trade is more conducive to residents' health. Additionally, we demonstrate that digital trade can affect residents' health by promoting green consumption, eliminating energy poverty (i.e., improving indoor air pollution), and enhancing environmental quality (i.e., improving outdoor environmental pollution). This study provides solid scientific empirical evidence for enhancing human sustainable development through global digital trade.

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Introduction: In the realm of emerging e-commerce platforms, the influence of online shopping events, specifically online carnival promotions (OSC), on consumer behavior is a significant area of interest.This paper delves into the effects of such promotions on consumer perceptions, a topic that has not been extensively explored in academic research. Methods: To investigate this phenomenon, two distinct studies were conducted. The first study employed a questionnaire-based experiment involving 220 participants, divided into two groups. The first study examined the mediating role of cognitive legitimacy in the relationship between OSC events organized by new e-commerce platforms and the perceptions of consumers. The second study utilized an event-related potentials (ERPs) experiment with 33 participants to explore the differences in consumer perceptions between OSC promotions and general promotions by new e-commerce platforms. This study measured the brain's response to promotional stimuli to gain insights into the cognitive processes involved. Results: The first study yielded results that suggest OSC activities can facilitate the establishment of cognitive legitimacy for new e-commerce platforms. This, in turn, was found to be associated with an increase in positive purchase intentions among consumers. In the second study, the ERPs data indicated that exposure to OSC promotional materials elicited larger P2 and N2 ERP components when participants were presented with the logo of a new e-commerce platform. This was in contrast to the response to general promotional materials, suggesting a heightened cognitive and perceptual engagement with OSC promotions. Discussion: The findings from both studies collectively imply that OSC promotions have a distinct impact on consumer perceptions and cognitive processes. The implicit memory triggered by these promotions appears to influence the identification of new platforms and the mechanisms of cognitive control during online shopping. This, in turn, may have implications for explicit consumer behavior, suggesting that OSC promotions could be a powerful tool for shaping consumer attitudes and behaviors in the e-commerce space. The results underscore the importance of understanding the nuances of consumer engagement with new e-commerce platforms and the role of promotional strategies in fostering a positive brand image and consumer loyalty.

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The internet and digital technologies pose new, specific challenges to competent authorities, whose activity fields are limited to their own jurisdictions. Consequently, these authorities must operate a system of controls adapted to online sites and e-sales, and official control must be strengthened. To address these challenges and protect consumers from misleading practices that can lead to the consumption of unsafe food, it is necessary to adapt official controls to new distance-selling techniques. The food inspection scheme as conceived in the European legal system cannot be easily applied to online food sales. To this purpose, the competent authorities need to equip themselves to guarantee effective control and compliance with the European Union laws regarding food sold online. It emerged that there are different levels of non-compliance with online food: the non-registration of the food business operator (registrant) and the non-compliance with the obligations as the law prescribes (obligations on food hygiene, electronic commerce, and information to consumers about the food). The focus of this survey on the distance sale of dairy products in the Modena Local Competent Authority territory is on the pattern suggested by the Food Standards Agency in 2016. This analysis is based on two different phases. The first one is the study of the websites, and the second one is the physical visit to the address of the online food business. This survey shows how to collect the first phase's data and organize the official controls.

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E-commerce provides a large selection of goods for sale and purchase, which promotes regular transactions and commodity flows. Efficient distribution of goods and precise estimation of customer wants are essential for cost reduction. In order to improve supply chain efficiency in the context of cross-border e-commerce, this article combines machine learning approaches with the Internet of Things. The suggested approach consists of two main stages. Order prediction is done in the first step to determine how many orders each merchant is expected to get in the future. In the second phase, allocation operations are conducted and resources required for each retailer are supplied depending on their needs and inventory, taking into account each store's inventory as well as the anticipated sales level. This suggested approach makes use of a weighted mixture of neural networks to anticipate sales orders. The Capuchin Search Algorithm (CapSA) is used in this weighted combination to concurrently enhance the learning and ensemble performance of models. This indicates that an effort is made to reduce the local error of the learning model at the model level via model weight adjustments and neural network configuration. To guarantee more accurate output from the ensemble model, the best weight for each individual component is found at the ensemble model level using the CapSA method. This method yields the ensemble model's final output in the form of weighted averages by choosing suitable weight values. With a Root Mean Squared Error of 2.27, the suggested technique has successfully predicted sales based on the acquired findings, showing a minimum decrease of 2.4 in comparison to the comparing methodologies. Additionally, the suggested method's strong performance is shown by the fact that it was able to minimize the Mean Absolute Percentage Error by 14.67 when compared to other comparison approaches.

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People have benefited enormously from e-commerce's explosive expansion in recent years. E-commerce, in contrast to the traditional business environment, is dynamic and complicated, which poses a number of challenges. The prediction market can create mixed intelligence for sales forecasting, which is essential for e-commerce enterprises, to handle this difficulty. Combining the usage of human analysts and machine learning algorithms can accomplish this. To accurately anticipate retailer volume and allot resources, a novel methodology for optimizing supply chain management at CBEC is proposed in this paper. The framework improves efficiency and profitability by using fuzzy logic and auction theory to make strategic decisions. Thanks to this creative strategy, managers can now make more informed decisions, ultimately enhancing the efficiency of CBEC's supply chain. The results of this paper reveal that our proposed method is superior to previous comparable methods, with RMSE and MAE values of 22.31 and 18.76, respectively. This approach offers a promising solution to the challenges faced by e-commerce businesses, and can help them achieve greater success in the dynamic and complex world of online commerce.

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As a booming branch of online retailing, live-streaming e-commerce can present abundant information dimensions and diverse forms of expression. Live-streaming e-commerce has enabled online retailers to interact with customers face-to-face, resulting in widespread instances of emotional and impulse buying behavior. Prior research in live-streaming e-commerce has suggested that live streamers' characteristics, especially the live streamer's face, can affect customers' purchase intentions. The present research used questionnaire surveys and an eye tracking experiment to investigate the impact of live streamer's facial attractiveness on consumer purchase intention for search-based and experience-based products. The questionnaire survey analyzed 309 valid questionnaires and revealed that attractive faces are the key influencing factor driving consumers' impulse purchase intentions. Moreover, consumers' emotional experience plays a partial mediating role in the process of live streamers' faces influencing purchase intention. The eye tracking experiment further explored the mechanism of a live streamer's facial attractiveness on consumers' purchase intentions of search-based products and experience-based products from the perspective of visual attention by analyzing 64 valid sets of data. The results showed that attractive faces attract more consumers' attention and, therefore, increase their purchase intention. Furthermore, there is a significant interaction between product type, the live streamer's facial attractiveness, and consumers' purchase intentions. In the case of unattractive live streamers, consumers are more likely to buy search-based products than experience-based products, while the purchase intention does not vary between search-based products and experience-based products in the case of attractive live streamers. The present study provides evidence for 'beauty premium' in live-streaming e-commerce and sheds light on the design of the match between live streamers and different types of products.

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Misshapen organic vegetables in the food supply chain can easily be discarded in the market if they do not meet aesthetic standards. E-commerce technology enables the distribution of imperfect organic produce from farmers to potential customers, mitigating agri-food waste issues. Green consumers are prospective customers of imperfect produce because their purchasing decisions are made based on sustainability and environmental considerations. However, each individual's degree of green consumption differs, impacting their preferences and behaviors toward green buying activity. Considering the gap between the varying levels of green consumers and their intention to purchase imperfect organic produce through e-commerce, this study aimed to profile three distinct green consumers and explore factors affecting their Online Green Purchase Intention (OGPI) for imperfect organic vegetables. The Unified Theory of Acceptance and Use of Technology (UTAUT) was applied in this study, and Web-Based Label Quality (WLQ) was introduced as an extended construct to describe green consumers' perceptions of the credibility and reliability of labels or product-related information displayed on e-commerce platforms. This study involved 668 internet users from environmental platforms and online communities of organic food enthusiasts. First, the consumers were classified into dark-green, semi/light green, and non-green using a cluster analysis approach. Then, Structural Equation Modeling (SEM) and Multi-Group Analysis (MGA) were employed to determine the factors affecting OGPI among green consumer groups. This research found that Performance Expectancy (PE), Social Influence (SI), and WLQ positively influenced dark-green consumers' online green purchase intention. Only Performance Expectancy (PE) positively affected semi/light-green consumers' OGPI. Meanwhile, the Facilitating Condition (FC) positively affected non-green consumers' online green purchase intentions. This research revealed dark-green consumers as the target segment, broadening customers' perspectives on accepting imperfect organic products, including e-commerce technology. Moreover, the research results can be utilized for marketing and business purposes and contribute to food policy.

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Online medical consultation platforms enable patients to seek health advice from physicians across geographic regions. In this study, we analyze patterns of online consultation between patients and physicians. We examine the joint effects of regional medical resource disparity, geographic distance, and cultural differences between patients and physicians on patients' decisions about which physicians they consult online. Using a unique dataset of city-to-city tuples based on 813,684 online consultation records and combining it with region-level data from multiple external sources, we find that while regional medical resource disparity drives patients from medically disadvantaged regions to seek online consultations with physicians from medically advantaged regions, geographic distance and cultural differences tend to constrain these consultations. We also find that cultural differences can amplify the impact of regional medical resource disparity, whereas geographic distance may lessen this effect. Further, we discover that the constraining effect of geographic distance is partly due to the online-to-offline nature of online medical consultations. Moreover, additional analyses suggest that physicians' online reputation and information about physicians' participation on the platform can help alleviate the negative effects of geographic distance and cultural differences. These findings hold significant implications for the allocation of medical resources and the formulation of healthcare policies.

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This study develops a hybrid model to investigate the factors affecting transnational e-commerce supply chain resilience (TNSCRE) by integrating the Entropy Weight Method (EWM), Simple Additive Weighting (SAW), and Interpretive Structural Modeling (ISM). The study identifies 36 critical factors categorized under supply chain adaptability, supply chain efficiency, and supply chain evolution, and five criteria are used to rank these factors. The EWM is used to calculate the relative weights of the criteria, and the SAW method is used to rank the factors based on their weighted scores. The ISM is then used to evaluate the interrelationships among the key factors. The research highlights the significance of several factors, such as the speed of supply chain disruption recovery, interactive collaboration, and response time to supply chain disruption. Sensitivity analysis was performed to assess the robustness of the findings. Finally, a SWOT analysis is conducted to develop a strategic action plan for addressing these significant factors. The study provides a comprehensive understanding of the factors that impact TNSCRE from the perspective of multiple stakeholders. The findings can help e-commerce business owners improve their existing supply chain resilience and achieve sustainable growth in the context of globalization.

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Live streaming is revolutionizing the landscape of e-commerce, creating new opportunities for platforms and e-tailers to improve their performance. However, little is known about the underlying mechanisms that shape consumer behavior in this burgeoning business phenomenon. This study aims to shed light on the relationships between environmental cues generated by live streaming and online impulse buying. Drawing upon the Stimulus-Organism-Response framework, a comprehensive model was formulated to explore how social cues (streamer interaction, peer interaction) and media cues (vividness, realness) impact pleasure, arousal, perceived uncertainty, and subsequently induce consumers' urge to buy impulsively. The model was tested by survey data from 403 consumers. SPSS and PLS are employed to verify the model. The findings revealed that realness and streamer interaction can reduce perceived uncertainty and foster a pleasant consumer experience, while vividness and peer interaction serve to awaken and delight consumers. Pleasure, arousal, and perceived uncertainty mediate antecedent variables' effects on urge to buy impulsively in a parallel and reverse way, and emotions exert a more powerful influence. This study enriched the research on the influence mechanisms of impulse buying driven by live streaming and provided suggestions for platforms and streamers to optimize product display and guide interaction, which is conducive to leveraging the advantages of live streaming and creating greater commercial value.

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While immersive shopping has injected new vitality into China's e-commerce, it has also resulted in consumers' over-reliance on online shopping. Psychological studies have linked online shopping addiction with depression, but business practices challenge this conclusion. This study, grounded in addiction theory, developed a theoretical model, and conducted an online survey with 214 live-streaming shoppers using structural equation modeling for validation. The primary focus was on determining whether consumers truly become addicted to online shopping in the four stages of the addiction model. The study unveils the process of consumers becoming addicted to online shopping. It explores the moderating role of perceived risk in the relationship between utilitarian and hedonic purchases and online shopping addiction. The findings suggest that through tactics such as traffic promotion, traffic trapping, anchor feature utilization, and incorporation of consumer aesthetics, merchants may induce utilitarian and hedonic purchases, leading to addiction to live-streaming shopping among consumers. Furthermore, perceived risk significantly and negatively moderates the relationship between utilitarian purchases and online shopping addiction. Our research indicates that merchants intentionally create external stimuli, enticing consumers to indulge in online shopping, suggesting that online shopping addiction is not merely a simple psychological state but may be influenced by external factors. This study provides novel insights into the phenomenon of online shopping addiction while offering valuable recommendations for consumers seeking to avoid succumbing to its allure.

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Since the start of the 21st century, there has been a rapid development of internet technology, causing electronic computers and smartphones to become increasingly popular. The e-commerce industry also experiences quick development. However, the recommendation technology of e-commerce progresses slowly, hindering it from keeping up with the changing times. To enhance the efficiency and accuracy of e-commerce recommender systems, this research introduces an e-commerce recommender system that utilizes an enhanced K-means clustering algorithm to manage commodity information. This method combines the K-means algorithm with a genetic algorithm by encoding the genetic algorithm, setting the initial population, defining the fitness function, and configuring other parameters. The results of the test indicated that the K-mean clustering algorithm and fuzzy C-mean algorithm had a recommendation accuracy of 87.9 % and 84.8 % respectively under the test dataset. The highest recommendation accuracy was observed from the improved K-mean clustering algorithm, which was 91.1 %. The convergence rate of the improved K-mean clustering algorithm was faster by 44 % compared to the traditional K-mean clustering algorithm and 73 % quicker than the fuzzy C-mean algorithm. The study's findings demonstrate that the refined K-means clustering algorithm greatly enhances the recommendation proficiency and precision of the e-commerce recommendation system, in comparison to other comparable algorithms. This research can potentially advance the e-commerce industry and stimulate its growth.