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The strategic application of electronic word-of-mouth (eWOM) is pivotal in shaping tourist decisions. This study aims to examine the nuanced impacts of endorsement styles and the innovative role of emojis on the persuasiveness of eWOM, highlighting essential insights for digital marketing effectiveness.

Using a robust experimental design, this research engaged 376 participants through scenario-based experiments on popular platforms Ctrip and Xiaohongshu. This study leveraged the professional online data platform, Credamo, to ensure a diverse and representative sample.

The analysis demonstrates that implicit endorsements, such as “I like this restaurant,” consistently outperform explicit endorsements like “I recommend this restaurant” regarding persuasiveness. This effect is attributed to the enhanced perceived authenticity and reduced persuasion knowledge activation by implicit endorsements. Remarkably, incorporating emojis within explicit endorsements mitigates their inherent drawbacks, enhancing their persuasive impact. In contrast, emojis do not significantly influence the effectiveness of implicit endorsements.

The findings provide significant insights, demonstrating that endorsement styles and emojis play a crucial role in identifying persuasive eWOM and fostering the creation of compelling eWOM for tourism and hospitality marketers. These elements can help marketers effectively track and enhance the impact of eWOM in their digital strategies.

This research maps the effects of endorsement styles and highlights the strategic role of emojis in eWOM, offering practical insights for maximizing persuasion and enhancing digital marketing strategies in tourism and hospitality.

The purpose of this study is to develop a low-cost and efficient method for 3D printing CuSn15 bronze alloy parts using a pneumatic extrusion system. By avoiding complex processes such as filament preparation and solvent/catalytic debinding, the study aims to streamline the low-cost production process of metallic components while maintaining high mechanical performance. The research also seeks to evaluate the effects of different sintering temperatures and times on the mechanical properties of the printed parts.

A simple and cost-effective pneumatic extrusion system was designed to 3D print a metal paste containing CuSn15 alloy powders. The metal paste was prepared by manually mixing of CuSn15 powders, carboxymethyl cellulose and distilled water. The printed parts were subsequently dried and sintered at various temperatures and times to study the effects of these parameters on the material properties. Tensile test and scanning electron microscope analysis were conducted to assess the structural integrity and mechanical performance of the samples.

The study found that the pneumatic extrusion system enabled the successful 3D printing of CuSn15 bronze alloy parts without the need for complex processes. Increasing sintering temperature led to improved mechanical properties and decreased porosity. Increasing the sintering time at 820 °C led to a reduction in mechanical performance. The study demonstrated that the sintering parameters significantly influence the porosity and mechanical properties of the printed parts.

This study introduces a novel approach to 3D printing CuSn15 bronze alloy using a pneumatic extrusion system, eliminating the need for traditional filament preparation and solvent/catalytic debinding processes. The research provides new insights into the effect of sintering parameters on the mechanical properties of additively manufactured metal parts. By simplifying the production process, this study offers a low-cost, efficient method for producing complex-shaped metallic components, potentially expanding the applicability of 3D printing in industries such as electronics, marine and mechanical engineering.

Drawing on social information processing theory, this study investigates how platform leadership influences employees’ innovative behavior. Specifically, we propose a theoretical model that incorporates creative self-efficacy as a mediator and organizational identification as a moderator.

Multisource data were collected in three waves from 304 employees and their 65 leaders in China.

Hierarchical linear modeling (HLM) results reveal: (1) a positive association between platform leadership and subordinates’ innovative behavior; (2) creative self-efficacy as a mediator in the relationship between platform leadership and subordinates’ innovative behavior and (3) organizational identification as a moderator in the indirect relationship between platform leadership and subordinates’ innovative behavior through creative self-efficacy, with the indirect effect being stronger when organizational identification is high than when it is low.

From a cross-level perspective, our findings revealed the underlying mechanisms and boundary conditions under which platform leadership influences followers’ innovative behavior.

Live-streaming e-commerce (LSE) allows anchors to bring offline promotion skills to interact with consumers and persuade them to buy. However, how consumers respond to these communications remains unknown. This study examines the persuasive effect of different scarcity marketing messages on impulsive buying in the LSE context.

This study adopts scenario-based experimental methods and conducts two 2 quantity-based scarcity (supply-framed vs demand-framed)*2 time-based scarcity appeals (high vs low) between-subjects experiments to test the hypotheses.

The results indicate that supply-framed appeals are more effective in provoking consumers’ arousal and impulsive buying, but are moderated by time scarcity. Furthermore, emotional arousal only mediates the effects of quantity-based scarcity appeals on impulsive buying under high-level time scarcity conditions.

This study contributes to the e-commerce literature by comparing the persuasive effect of different scarcity messages in the LSE context. We broaden the scarcity marketing literature by testing the combined effect of quantity-based and time-based scarcity appeals. Finally, this study extends the application of the competitive arousal model.

Digital well-being (DWB) has become a preoccupation of society, businesses and consumers because of the proliferation of technology and the pandemic. This study aims to understand the four main problems of DWB in hospitality (DWBH): epistemology, scope, aggregation and specification by adopting integrative literature review.

The systematic analysis process develops a dynamic DWBH framework, which connects individuals and society, based on the doughnut model. A critical method is used to conceptualize the DWBH and digital behavior change interventions (DBCIs) by combining psychology and sociology.

This study provides a definition of DWBH. It identifies three antecedents (digital design, awareness and utilization advancement), three decision factors (individual psychology, category differences and external environment) and four outcomes. The doughnut model visualizes dynamic sustainability of subjective well-being, master, engagement, autonomy, relationship and mastery. DBCIs provide a comprehensive strategy: effective design is essential, personalized implementation is standard, and strategy and structure ensure success.

This study theoretically addresses issues of epistemology, scope and aggregation, expanding the existing knowledge base of DWBH and fostering theoretical integration across different disciplines. Practically, it provides actionable guidelines for stakeholders in hospitality to enhance community DWB, thereby promoting both individual and societal well-being.

This study makes a pioneering effort by extending the knowledge of DWBH with epistemology, scope, aggregation and specification. Furthermore, this study helps clarify the academic research process of DWBH, formulating management and practical strategies and improving individuals’ well-being.

Limited use of Internet of Things (IoT) technology on construction sites has restricted its value in the construction industry. To propel its widespread application, this paper explores the influencing factors and action paths of construction companies' IoT technology adoption behavior.

First, literature research, technology adoption theories, and semi-structured expert interviews were employed to build the adoption model. Second, a questionnaire survey was conducted among Chinese construction contractors to collect empirical data. Third, the structural equation model method and regression analysis were used to test the adoption model. Finally, the findings were further validated with interviews, case studies, and field observations.

External environmental pressure (EEP), perceived benefit (PB), top management support (TMS), company resource readiness (CRR), adoption intention (AI), and perceived compatibility (PCA) have a direct positive impact on adoption behavior (AB). In contrast, perceived cost (PC) and perceived complexity (PCL) exert a direct negative impact on AB. The EEP, PB, and PC are critical factors affecting AB, whereas AI is strongly affected by CRR and TMS. Besides, AI plays a part mediating role in the relationship between seven factors and AB. Company size and nature positively moderate AI's positive effect on AB.

This paper contributes to the knowledge of IoT technology adoption behavior in the construction sector by applying the technology adoption theories. Exploring the implementation barriers and drivers of IoT technology in construction sites from the perspective of organizational technology adoption behavior and introducing moderating variables to explain adoption behavior are innovations of this paper. The findings can help professionals better understand the IoT technology adoption barriers and enhance construction companies' adoption awareness, demand, and ability. This work also provides a reference for understanding the impact mechanism of the adoption behavior of other innovative technologies in construction.

Green finance aims to promote sustainable financial activities, environmental conservation and ecological balance. This study examines how renewable energy consumption (REN), technological innovation (TEC) and green finance (GRF) influence CO2 emissions in Vietnam from 2000 to 2022.

We utilize a novel three-stage methodology including quantile-on-quantile regression, wavelet coherence and wavelet-quantile regression to explore the relationship in the structure of intercorrelation in terms of quantile, time and frequency.

The findings show that Vietnam will increase environmental quality for higher green development. Specifically, there is a negative influence of TEC, REN and GRF on CO2 emissions across different quantiles and timescales.

The study recommends policies that support green development and reduce carbon emissions, such as increasing the use of renewable energy and conducting well-planned research to achieve a carbon-free, sustainable environment.

This article looks into the effects of GRF, TEC and REN on CO2 emissions in Vietnam. Some studies argue that green development in underdeveloped nations is insufficient to reduce CO2 emissions, thereby limiting the sample to a few advanced economies. Adopting diverse methodologies demonstrates the varied and intricate nature of understanding CO2 drivers. Additionally, our work makes detailed policy implications for Vietnam to meet its net-zero emission target and achieve sustainable development by 2050.

Based on the theory of planned behavior (TPB), the purpose of this study is to provide a well-supported explanation of how rural college students (RCS)’ entrepreneurial learning experiences (ELE) affect their returning home entrepreneurial intention (RHEI) through the three antecedents of TPB (Personal attitudes, PA; Subjective norms, SN and Perceived behavioral control, PBC).

An extension of the TPB was proposed, including the additional constructs of entrepreneurial learning experiences(ELE). Data were collected from a sample of 986 rural college students from ten universities and colleges located in China using a survey questionnaire. SEM was used to test the hypotheses and the relationships between variables.

RCS’ ELE significantly and positively influences the formation of their RHEI through the mediating effect of PBC. In addition, the three antecedents of TPB have direct and significant impact on RHEI, and PA, PBC indirectly mediate the relation between SN and RHEI.

The results of this study have implications for entrepreneurship educators and policymakers by promoting RCS’ RHEI through optimize the content and methods of entrepreneurship education from the perspective of students learning, and strengthening publicity for rural entrepreneurship, increase support for returning home entrepreneurship.

The role of ELE in forming RCS' RHEI has been underestimated by previous studies. This study combines the push-pull theory with TPB to explore the formation mechanism of RCS’ RHEI, and helps to understand the role of ELE in shaping RHEI through the development of an extended TPB intention-based model.

Governments worldwide are placing a greater emphasis on enhancing ecology and the environment as a result of escalating ecological issues. One possible approach is sustainable governance. This chapter explores the interrelated roles of internal control, environmental accounting, and environmental auditing mechanisms in promoting sustainable governance and green transformation. By looking at these three aspects, the chapter illustrates how integrated approaches can promote sustainable practices and guarantee adherence to environmental standards. The objective of this chapter is to present a thorough knowledge of the ways in which these components work together to support sustainability as a whole.

Although many countries are focusing on the management of construction and demolition waste (CDW) resource utilization, the effect of risk aversion of the green innovation-led enterprise on the performance of the CDW resource utilization supply chain is unclear when considering different green innovation contexts (green innovation led by the building materials remanufacturer or by the construction waste recycler). This study aims to investigate how the level of risk aversion of the green innovation-led enterprise affects CDW resource utilization under different green innovation contexts based on contingency theory.

Using Stackelberg game theory, this study establishes a decision model consisting of a building materials remanufacturer, construction waste recycler and CDW production unit and investigates how the level of risk aversion of the green innovation-led enterprise under different green innovation contexts influences the performance level of the supply chain.

The conclusions are as follows. (1) For the green innovation-led enterprise, the risk-averse behaviour is always detrimental to his own profits. (2) For the follower, the profits of the construction waste recycler are negatively correlated with the level of risk aversion of the green innovation-led enterprise in the case of a small green innovation investment coefficient. If the green innovation investment coefficient is high, the opposite result is obtained. (3) When the green innovation investment coefficient is low, the total supply chain profits decrease as the level of risk aversion of the green innovation-led enterprise increases. When the green innovation investment coefficient is high, total supply chain profit shows an inverted U-shaped trend with respect to the degree of risk aversion of the green innovation-led enterprise.

(1) This study is the first to construct a green innovation context led by different enterprises in the CDW resource utilization supply chain, which provides a new perspective on green management and operation. (2) This study is the first to explore the operation mechanism of the CDW resource utilization supply chain based on contingency theory, which provides new evidence from the CDW resource utilization supply chain to prove contingency theory. At the same time, this study examines the interactive effects of the green innovation cost coefficient and the degree of risk aversion of green innovation-led enterprises on the performance of supply chain members, expanding the contingency theory research on contingencies affecting enterprise performance. (3) This study will guide members of the CDW resource utilization supply chain to rationally face risks and achieve optimal supply chain performance.