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This study aims to investigate how source attractiveness (including platform credibility, product appeal and streamer attractiveness) and information quality impact viewers’ cognition and flow state. Additionally, it examines how these factors influence the development of consumer attitudes and behaviors toward livestreamed tourism shopping, as well as the moderating roles of perceived risk and personal characteristics.

A sequential mixed-methods research design was used. In addition to a literature review, 15 interviews were conducted to identify measurement items for the subsequent questionnaire survey. Sample 1 (n = 209) was used to refine these measurement items, whereas Sample 2 (n = 227) was used to evaluate the measurement model and test the proposed hypotheses.

Findings reveal that source attractiveness (streamer attractiveness, tourism product attractiveness and platform credibility) and information quality significantly influence customers’ behavior formation, with cognition and flow state acting as mediators. Findings further confirm the moderating effect of perceived risk in a livestreamed shopping environment.

The findings provide new insights into how consumers select livestreamed shopping platforms. As viewers assess the credibility and trustworthiness of each component to form their perception of the overall platform’s credibility, companies should market their products through credible platforms, studios and stores with extensive reach. It is also critical to collaborate with streamers who are sincere, trustworthy, knowledgeable and professional. Since perceived risk lowers consumer behavioral intentions, live streamers, platforms and merchants should offer convincing and credible arguments to alleviate viewers’ perceived risks.

This study advances the literature on livestreamed shopping by broadening the conceptualization of source attractiveness to include three dimensions: streamer attractiveness, product attractiveness and platform attractiveness. Furthermore, it differentiates itself from existing studies by integrating and adopting multidimensional measurements of cognition (perceived usefulness and ease of use) and flow state (control, enjoyment, curiosity and concentration).

本研究旨在探讨信息源吸引力(平台可信度、产品吸引力和主播吸引力)和信息质量如何影响旅游购物直播观众的认知和心流体验。本研究进一步探讨了这些因素如何影响旅游直播购物消费者的态度与行为。本研究还检验了感知风险和个人特征的调节作用。

采用顺序混合研究方法。基于文献和15次深度访谈确定了问卷调查中使用的测量项目。样本1 (n= 209)用于净化测量项目。样本2 (n= 227)用于评估测量模型并验证假设。

信息源吸引力(主播吸引力、旅游产品吸引力和平台可信度)和信息质量显著影响消费者行为, 其中认知和心流起中介作用。研究结果进一步证实了感知风险的调节作用。

研究结果为消费者如何选择直播购物平台提供了新的见解。由于观众对每个组成部分的可信度进行评估, 从而形成他们对整个平台可信度的看法, 因此公司应该通过可靠的平台、直播间和具有广泛影响力的店铺来营销他们的产品。与真诚、值得信赖、知识渊博、专业的主播合作也至关重要。由于感知风险会降低消费者的行为意愿, 因此主播、平台和商家应该提供令人信服和可信的论据, 以减轻观众的感知风险。

本研究将信息源吸引力的概念扩展到三个维度：主播吸引力、产品吸引力和平台可信度, 从而丰富了直播购物相关研究。通过整合并采用认知（感知有用性和感知易用性）和心流体验（控制、愉悦、好奇和沉浸）的多维测量, 本研究进一步区别于现有研究。

Este estudio investiga cómo el atractivo de la fuente (incluida la credibilidad de la plataforma, el atractivo del producto y el atractivo del emisor) y la calidad de la información influyen en la cognición y el estado de flujo de los espectadores. Además, examina cómo influyen estos factores en el desarrollo de las actitudes y los comportamientos de los consumidores hacia las compras turísticas retransmitidas en directo, así como los papeles moderadores del riesgo percibido y las características personales.

Se empleó un método de investigación mixto secuencial. Además de una revisión bibliográfica, se realizaron 15 entrevistas para identificar los ítems de medición para la posterior encuesta por cuestionario. La muestra 1 (n = 209) se utilizó para refinar estos ítems de medición, mientras que la muestra 2 (n = 227) se utilizó para evaluar el modelo de medición y probar las hipótesis propuestas.

Resultados revelan que el atractivo de la fuente (atractivo del emisor, atractivo del producto turístico y credibilidad de la plataforma) y la calidad de la información influyen significativamente en la formación del comportamiento de los clientes, con la cognición y el estado de flujo actuando como mediadores. Resultados confirman además el efecto moderador del riesgo percibido en el entorno de las compras en directo.

Los Resultados aportan nuevos conocimientos sobre cómo seleccionan los consumidores las plataformas de compras en directo. Dado que los espectadores evalúan la credibilidad y la fiabilidad de cada componente para formarse su percepción de la credibilidad global de la plataforma, las empresas deberían comercializar sus productos a través de plataformas, estudios y tiendas creíbles con un amplio alcance. También es fundamental colaborar con streamers que sean sinceros, dignos de confianza, informados y profesionales. Dado que el riesgo percibido disminuye las intenciones de comportamiento de los consumidores, los streamers en directo, las plataformas y los comerciantes deben ofrecer argumentos convincentes y creíbles para aliviar los riesgos percibidos por los espectadores.

Este estudio hace avanzar la literatura sobre las compras en directo ampliando la conceptualización del atractivo de la fuente para incluir tres dimensiones: el atractivo del streamer, el atractivo del producto y el atractivo de la plataforma. Además, se diferencia de los estudios existentes al integrar y adoptar mediciones multidimensionales de la cognición (utilidad percibida y facilidad de uso) y el estado de flujo (control, disfrute, curiosidad y concentración).

COVID-19 has dramatically changed consumer behaviour and has significantly changed all business processes. Business organisations must be able to deal with the pandemic and rapid pace-based changes to enable flexible remote purchases. In this survey, the purpose of the inventory management strategy is to be considered, and the next one is to identify the design change based on the three main factors: economic order quantity, just-in time, and supplier partnership. The model in this study was built on HCMs or hierarchical component models by placing the 3 main factors as a higher-order construct (HOC) with 11 lower-order constructs (LOCs) that compose each higher construct. The findings in this study show that Inventory Shortages, Just-in Time Delivery by Supplier (JITDS), and Suppliers’ Quality (SQ) are the most significant forming components for each construct. The findings can be used to reference the academic and practical reorganisation of inventory management strategies. By empirically investigating the relationship between inventory management strategy components and operational performance, this study contributes to the on-going scholarly discussion on the link between inventory management strategy components and operational performance.

In this study, the researchers explored the roles played by digital technologies and digital innovation (DI) in Pakistan's Information, Communication and Technology (ICT) companies' firm performance (FP).

The researchers used a quantitative study to gather cross-sectional data from employees working in Pakistan's ICT companies. The authors based this study's findings on 396 valid samples.

The structural equation modeling (SEM) findings underline that digital capability (DC), digital orientation (DO) and digital transformation (DT) have positive and significant effects on DI and FP. Moreover, there is a positive and significant relationship between DI and FP. Finally, DI mediates DC's, DO's and DT's associations with FP.

By committing to embracing new digital technologies and updating existing DCs to become innovation leaders and to improve FP, the findings will help sectors to take advantage of developing digital technologies and the trend toward digitalization. The results are also valuable for policymakers when considering if SMEs should be provided with more money for the digital up-skilling of their employees. Finally, this study's findings enrich the depth of literature about companies' use of digital technologies.

This study's empirical findings confirm the roles played by DC, DO and DT in improving DI and FP in a developing country such as Pakistan.

One of the fundamental objectives of adopting digital supply chain (DSC) is to uplift the performance of an organization. Although a wide variety of literature confirms the impact of DSC on performance, it is hard to explore as to which dimensions of the performance is affected by DSC and how much. This chapter undertakes discussion on the impact of DSC on the various organizational performance indicators. The chapter also denotes some major key performance indicators (KPIs) that organization can track to gauge the impact of DSC on performance. A brief discussion on the challenges related to the development, adoption, and continuation of KPIs is also appeared in the later part of the chapter. The chapter concludes by denoting that the utilization of digital technologies (DTs) such as artificial intelligence (AI), the Internet of Things (IoT), and complex analytics in DSC has prospects for enhancing the operational efficiency, transparency, and agility of a supply chain (SC). Organizations that adopt these DTs have experienced better demand forecasting, reduced time order fulfillment time, and higher levels of consumer satisfaction. Nonetheless, the successful use of DSC requires development and implantation of KPIs regularly.

Sodium alginate (Na-Alg) is a natural polysaccharide with a rich and renewable production that is widely used in the food, pharmaceutical and daily necessities industries, among other fields. The purpose of this study is to obtain a green and degradable shape memory material, calcium alginate (Ca-Alg) film was prepared and the mechanical properties, the shape memory effect of the film were investigated and confirmed.

The Ca-Alg films were prepared by Na-Alg, calcium chloride (CaCl₂) solution, and flow extension method. Dissolve sodium alginate powder, remove bubbles, pour into petri dish, dry at 60°C, add calcium chloride solution cross-linking and finally dry naturally. The effect of CaCl₂ solution concentration on the mechanical properties of the films were investigated and discussed by universal tensile tester. The shape memory behavior and degradation performance of thin films were verified and studied by the fold-deploy shape memory test and soil embedding method, respectively.

The Ca-Alg films exhibited good mechanical and shape memory properties, with a 72.2% shape memory fixity ratio and a 92.3% shape memory recovery ratio, respectively. For a period of 120 days, the film treated with a 6 wt% CaCl₂ solution degraded at a rate of approximately 53%.

Shape memory polymers (SMPs) as intelligent materials are an important research direction for the development of modern high-tech materials. On the other hand, plastic pollution is a major problem today; as a result, preparing green degradable SMPs is essential.

This study synthesized transparent and degradable shape memory Ca-Alg films using Na-Alg and CaCl₂ solution and the flow extension method.

The purpose of this study is to explore the causal relationship between smart transportation technology innovation and green transportation efficiency.

A comprehensive framework is used in this paper to assess the level of green transportation efficiency in China based on the instrumental variable – generalized method of moments model, followed by an examination of the impact of innovation in smart transportation technology on green transportation efficiency. Additionally, their non-linear relationship is explored, as are their important moderating and mediating effects.

The findings indicate that, first, the efficiency of green transportation is significantly enhanced by innovation in smart transportation technology, which means that investing in such technologies contributes to improving green transportation efficiency. Second, in areas where green transportation efficiency is initially low, smart transportation technology innovation exerts a particularly potent influence in driving green transportation efficiency, which underscores the pivotal role of such innovation in bolstering efficiency when it is lacking. Third, the relationship between smart transportation technology innovation and green transportation efficiency is moderated by information and communication technology, and the influence of smart transportation technology innovation on green transportation efficiency is realized through an increase in energy efficiency and carbon emissions efficiency.

Advancing green transportation is essential in establishing a low-carbon trajectory within the transportation sector.

Under the background of open science, this paper integrates altmetrics data and combines multiple evaluation methods to analyze and evaluate the indicators' characteristics of discourse leading for academic journals, which is of great significance to enrich and improve the evaluation theory and indicator system of academic journals.

This paper obtained 795,631 citations and 10.3 million altmetrics indicators data for 126,424 published papers from 151 medicine, general and internal academic journals. In this paper, descriptive statistical analysis and distribution rules of evaluation indicators are first carried out at the macro level. The distribution characteristics of evaluation indicators under different international collaboration conditions are analyzed at the micro level. Second, according to the characteristics and connotation of the evaluation indicators, the evaluation indicator system is constructed. Third, correlation analysis, factor analysis, entropy weight method and TOPSIS method are adopted to evaluate and analyze the discourse leading in medicine, general and internal academic journals by integrating altmetrics. At the same time, this paper verifies the reliability of the evaluation results.

Six features of discourse leading integrated with altmetrics indicators are obtained. In the era of open science, online academic exchanges are becoming more and more popular. The evaluation activities based on altmetrics have fine-grained and procedural advantages. It is feasible and necessary to integrate altmetrics indicators and combine the advantages of multiple methods to evaluate the academic journals' discourse leading of which are in a diversified academic ecosystem.

This paper uses descriptive statistical analysis to analyze the distribution characteristics and distribution rules of discourse leading indicators of academic journals and to explore the availability of altmetrics indicators and the effectiveness of constructing an evaluation system. Then, combining the advantages of multiple evaluation methods, The author integrates altmetrics indicators to comprehensively evaluate the discourse leading of academic journals and verify the reliability of the evaluation results. This paper aims to provide references for enriching and improving the evaluation theory and indicator system of academic journals.

Sustainable development is inseparable from rational and responsible use of resources and promotion of green entrepreneurship. The contemporary green development agenda encompasses climate, economic, technical, social, cultural, and political dimensions. International efforts to greening the global development are conducted by the major economies, including China as the world’s largest consumer of energy and the biggest emitter of greenhouse gases. China is aware of its environmental problems, as well as of its part of the overall responsibility for the accomplishment of the sustainable development goals. By means of the decarbonization efforts, the latter are integrated both into the national development agenda (the concept of ecological civilization) and China’s international initiatives (the greening narrative within the Belt and Road Initiative). Over the past decade, China has made a breakthrough on the way to promoting green entrepreneurship and greening of its development (better quality of air and water, renewable energy, electric vehicles, and organic farming). On the other hand, emissions remain high, agricultural land loses productivity, and freshwater resources degrade due to climate change. In conventional industries (oil, coal mining, and electric and thermal energy), decarbonization faces an array of impediments. In this chapter, the authors summarize fundamental provisions of China’s approach to building an ecological civilization and measures to reduce emissions and achieve the carbon neutrality status within the nearest decades. The analysis of obstacles to the decarbonization of the economy and possible prospects for the development of green entrepreneurship summarizes China’s practices for possible use in other countries.

The global imperative for sustainable infrastructure management has intensified the focus on facility retrofitting as a key strategy for reducing environmental impact and enhancing operational efficiency. However, the complex interplay of factors influencing stakeholders’ willingness to pay (WTP) for such interventions remains inadequately understood, impeding effective policy formulation and resource allocation. This study aims to examine the motivational factors influencing the adoption of green retrofits in Lagos, Nigeria.

This study used a stated preference discrete choice experiment conducted with 425 decision-makers of corporate facilities in Lagos, Nigeria. A multinomial logit model was used to compare retrofitting choice sets and a status quo option.

The study revealed that education level, reputation concerns, income, incentives and corporate social responsibility awareness significantly predicted WTP for basic heating ventilation air-conditioning, and lighting upgrades. Regulatory compliance, awareness, education, income and reputation emerged as key drivers for more comprehensive retrofits incorporating renewables.

The research findings, by revealing which motivators resonate strongest, offer an evidence-based roadmap that directs practitioners to look beyond price incentives and emphasize complementary non-price interventions integrated with policy. The study’s emphasis on the significance of noneconomic WTP drivers equips program administrators with actionable strategies to optimize the uptake of retrofits based on individuals’ motivational structures.

This is one of the very few studies that have investigated the motivational factors influencing the adoption of green facility retrofitting in emerging markets, focusing on Lagos, Nigeria.

The purpose of this study is to investigate the impact of logistics capabilities on the relationship between information sharing (INS) and logistics performance of Sudanese industrial companies.

This descriptive study investigates the relationship between INS and logistics performance in Sudanese industrial companies. A five-point scale questionnaire surveyed a non-probability sample of 262 logistics, supply chain and operations managers. Structural equation modeling has been used to test the relationship between the variables.

The results revealed that there is no direct positive relationship between logistics INS and logistics performance, while there is an indirect relationship through logistics capabilities. The findings confirmed that there is a positive relationship between logistics INS and logistics capabilities.

There are several limitations in this study. This study is limited to certain businesses and has a small sample size, which may impact the capacity to apply the findings to a broader context. The sample was based on the current manufacturing companies in Sudan, which are distinguished by certain characteristics in terms of number, business stability and other factors. Because of these factors, the findings may not accurately reflect the actual situation. Industrywise, this study focused on manufacturers, whereas logistics is based on a chain of partners and involved parties. Including them in any future investigation could lead to meaningful findings and discoveries. Furthermore, the data collection’s cross-sectional form may not comprehensively reflect the temporal dynamics of logistical activities. Future research may address these constraints by investigating the efficacy of diverse logistical capabilities in other businesses and circumstances. The construct of the variables is a single-dimension construct, which does not reflect all the practices associated with INS, logistics capabilities and logistics performance. Furthermore, there is an opportunity to explore further the impact of INS on important logistical performance metrics, such as order lead time, on-time delivery and inventory management. One potential area for future investigation is the study of logistics information-sharing technologies, specifically utilizing data analytics and machine learning. In such a context, deep insight and understanding of logistics capabilities and performance require more qualitative analysis; therefore, future research could fill this gap and provide deeper insight.

For practitioners in the small and medium-sized enterprise sector in Sudan, these findings suggest enhancing their operations, particularly by investing in information-sharing technologies that improve stakeholder coordination. Actively engage supply chain partners in the logistics information system to ensure timely and accurate information flows to all. However, it’s important to be aware of potential challenges, such as the high costs and complex design of these systems and potential resistance to change within businesses. Policymakers play a crucial role in this process, as they can use these findings to establish industry-wide standards or incentives that promote the use of advanced logistical capabilities; besides that, policymakers need to invest in building genuine information channels and systems that inform the industry and clear the ambiguity.

This study establishes a relationship between INS and logistics performance, which will be interpreted by logistics capabilities to enhance the logistics performance of Sudanese logistic businesses in an underdeveloped context characterized by a weak logistics industry and logistics capabilities. It suggests that companies should prioritize logistics INS and investment in INS technology to enhance their logistics capabilities.