Search results

In this paper the aim is that Aramid/alginate blended nonwoven fabrics were prepared, and the flame retardancy of the blended nonwoven fabrics was studied by thermogravimetric analysis, vertical flame test, limiting oxygen index (LOI) and cone calorimeter test.

The advantages of different fibers can be combined by blending, and the defects may be remedied. The study investigates whether incorporating alginate fibers into aramid fibers can enhance the flame retardancy and reduce the smoke production of prepared aramid/alginate blended nonwoven fabrics.

Thermogravimetric analysis indicated that alginate fibers could effectively inhibit the combustion performance of aramid fibers at a higher temperature zone, leaving more residual chars for heat isolation. And vertical flame test, LOI and cone calorimeter test testified that the incorporation of alginate fibers improved the flame retardancy and fire behaviors. When the ratio of alginate fibers for aramid/alginate blended nonwoven fabrics reached 80%, the incorporation of alginate fibers could notably decreased peak-heat release rate (54%), total heat release (THR) (29%), peak-smoke production rate (93%) and total smoke production (86%). What is more, the lower smoke production rate and lower THR of the blends vastly reduced the risk of secondary injury in fires.

This study proposes to inhibit the flue gas release of aramid fiber and enhance the flame retardant by mixing with alginate fiber, and proposes that alginate fiber can be used as a biological smoke inhibitor, as well as a flame retardant for aramid fiber.

This study analyzed the relationships among sub-factors of mindfulness and two anti-consumption lifestyles caused by personal and social/environmental concerns. This study also investigated the pursuit of authenticity mediating this relationship.

A survey based on self-administered questionnaires and structural equation modeling was used to analyze the collected data via Statistical Product Service Solutions (SPSS) 23 and Analysis of MOment Structure (AMOS) 23. Multiple mediation analysis was adopted to investigate the mediating role of authenticity dimensions via SPSS PROCESS macro.

The relationship between mindfulness and anti-consumption behavior was generally positive. Except for describing and non-judgment, most facets of mindfulness were positively related to anti-consumption patterns. Only the indirect effect of authentic living (AL) was significant in the impact of mindfulness on anti-consumption behavior.

To the authors' knowledge, this study is the first to examine the link between mindfulness and anti-consumption and potential mechanism of anti-consumption – authenticity seeking, extending knowledge about mindfulness and providing insights for environmentalists, public decision-makers, marketers and consumers.

As global supply chains continue to develop, uncertainty grows and supply chains are frequently threatened with disruption. Although big data technology is being used to improve supply chain resilience, big data technology's role in human–machine collaboration is shifting between “supporters” and “substitutes.” However, big data technology's applicability in supply chain management is unclear. Choosing appropriate big data technology based on the enterprise's internal and external environments is important.

This study built a three-factor structural model of the factors “management support,” “big data technology adoption” and “supply chain resilience”. Big data technology adoption was divided into big data-assisted decision-making technology (ADT) and big data intelligent decision-making technology (IDT). A survey was conducted on more than 260 employees from supply chain departments in Chinese companies. The data were analyzed through structural equation modeling using Analyze of Moment Structures (AMOS) software.

The study's empirical results revealed that adopting both ADT and IDT improved supply chain resilience. The effects of both types of big data were significant in low-dynamic environments, but the effect of IDT on supply chain resilience was insignificant under high-dynamic environments. The authors also found that government support had an insignificantly effect on IDT adoption but significantly boosted ADT adoption, whereas management support factors promoted both ADT and IDT adoption.

By introducing two types of big data technology from the perspectives of the roles in human–machine collaborative decision-making, the research results provide a theoretical basis and management implications for enterprises to reduce the supply chain risk of enterprises.

This study aims to explore the mechanism of abusive supervision differentiation on employee work-family conflict, and examine the chain mediating role of work-related rumination and organizational citizenship behavior/deviant workplace behavior, as well as the moderating role of work-family boundary segmentation preference.

The authors designed two studies: Study 1 was a scenario experiment with 120 Master of Business Administration students. To further explore this finding, the authors conducted a multiwave survey in Study 2 with 345 employees from various organizations.

The results of Study 1 showed that abusive supervision differentiation had a positive effect on work-related rumination, and work-related rumination mediated the relationship between differentiated abusive supervision and organizational citizenship behavior/deviant workplace behavior. The results of Study 2 not only confirmed the conclusions of Study 1 but also revealed that organizational citizenship behavior/deviant workplace behavior significantly affected work-family conflict. Abusive supervision differentiation had a positive effect on work-family conflict through work-related rumination and organizational citizenship behavior/deviant workplace behavior. In addition, work-family boundary segmentation preference negatively moderated the relationship between organizational citizenship behavior and work-family conflict.

First, to the best of the authors’ knowledge, this study is the first paper to test the spillover effect of abusive supervision differentiation on the family domain through a chain mediation model. It extends the research on abusive supervision differentiation from the work domain to the family domain. Second, previous research has highlighted role conflict or role insufficiency as significant factors contributing to work-family conflict. However, this study suggests that abusive supervision differentiation from workplace managers can also trigger work-family conflict, providing a new perspective in the study of precursors to work-family conflict.

This study aims to systematically map the state of work on human–machine collaboration in organizations using bibliometric analysis.

The authors used a systematic literature review to survey 111 articles on human–machine collaboration published in leading journals to categorize the theories used and to construct a framework of human–machine collaboration in organizations. A bibliometric analysis is applied to statistically evaluate the published materials and measure the influence of the publications using co-citation, coupling and keyword analyses.

The results inform that the research on human–machine collaboration in the organizational field is targeted at four aspects: performance, innovation, human resource management and information technology (IT).

This work is the first exploratory piece to assess the extent and depth of research on human–machine collaboration.

This study aims to test the relationship between emotional labor and service quality of the frontline employees of Chinese restaurants during the coronavirus disease pandemic (COVID-19). This study further investigated the mediating role of work fatigue (WF) and the moderating role of supervisor–subordinate Guanxi (SSG).

The authors used a time-lag approach to gather data from a sample of 365 frontline staff members working in Chinese restaurants. All hypotheses were tested using SPSS and AMOS.

First, restaurant frontline employees’ deep acting was associated with higher service quality, whereas surface acting leads to lower service quality. Second, WF mediated the relationship between emotional labor and service quality. Third, SSG moderated the impact of emotional labor on WF during COVID-19.

All variables measured in this study were self-reported by restaurant frontline employees, which may increase the risk of common-method bias. However, this study enriches the literature on emotional labor, WF and SSG during COVID-19.

COVID-19 has severely affected the hotel, restaurant and catering sector and especially the psychological state and the work performance of frontline employees. Restaurant managers should implement some measures to improve employees’ service quality during COVID-19.

The present findings show that restaurant frontline employees adopted various emotional labor strategies when they were faced with higher than usual job demands and the risk of infection during COVID-19.

Readers articulate mood in deeply subjective ways, yet the underlying structure of users' understanding of the media they consume has important implications for retrieval and access. User articulations might at first seem too idiosyncratic, but organizing them meaningfully has considerable potential to provide a better searching experience for all involved. The current study develops mood categories inductively for fiction organization and retrieval in information systems.

The authors developed and distributed an open-ended survey to 76 fiction readers to understand their preferences with regard to the affective elements in fiction. From the fiction reader responses, the research team identified 161 mood terms and used them for further categorization.

The inductive approach resulted in 30 categories, including angry, cozy, dark and nostalgic. Results include three overlapping mood families: Emotion, Tone/Narrative, and Atmosphere/Setting, which in turn relate to structures that connect reader-generated data with conceptual frameworks in previous studies.

The inherent complexity of “mood” should not dissuade researchers from carefully investigating users' preferences in this regard. Adding to the existing efforts of classifying moods conducted by experts, the current study presents mood terms provided by actual end-users when describing different moods in fiction. This study offers a useful roadmap for creating taxonomies for retrieval and description, as well as structures derived from user-provided terms that ultimately have the potential to improve user experience.

This study aims to explore the application of emojis to mood descriptions of fiction. The three goals are investigating whether Cho et al.'s model (2023) is a sound conceptual framework for implementing emojis and mood categories in information systems, mapping 30 mood categories to 115 face emojis and exploring and visualizing the relationships between mood categories based on emojis mapping.

An online survey was distributed to a US public university to recruit adult fiction readers. In total, 64 participants completed the survey.

The results show that the participants distinguished between the three families of fiction mood categories. The three families model is a promising option to improve mood descriptions for fiction. Through mapping emojis to 30 mood categories, the authors identified the most popular emojis for each category, analyzed the relationships between mood categories and examined participants' consensus on mapping.

This study focuses on applying emojis to fiction reading. Emojis were mapped to mood categories by fiction readers. Emoji mapping contributes to the understanding of the relationships between mood categories. Emojis, as graphic mood descriptors, have the potential to complement textual descriptors and enrich mood metadata for fiction.

When smelting Al-Li alloy, the material inevitably comes into contact with various oxide-refractories. These refractories are subjected to varying degrees of melt-corrosion at high temperatures. The purpose of this study is to find stable oxide refractories at casting temperature.

Four materials were selected for evaluation, and their corrosion by the Al-Li alloy at casting temperature and different holding times was measured. Subsequently, scanning electron microscopy and energy-dispersive spectroscopy were used to study the interfaces. Stable refractory materials were selected by comparing the thicknesses of the reaction layers.

The thickness of the Al-Li/ZrO₂ reaction layer varies linearly with the square root of the holding duration. Therefore, the growth of the reaction layer is controlled by diffusion. The reaction layer of Al-Li/Al₂O₃ is thinner, and its growth is also controlled by diffusion. However, there were no obvious reaction layers between the Al-Li alloy and MgO or Y₂O₃. By comparing these reaction-layer thicknesses, the order of stability was found to be ZrO₂ < Al₂O₃ < MgO and Y₂O₃.

These results provide a scientific basis for the optimal selection of refractory materials for Al-Li alloy smelting.

This study aims to analyze the wettability of the self-developed Sn–Bi–Zn solder and to conduct a series of analysis on the wetting kinetics, diffusion phenomenon and interfacial reaction of Sn–Bi–Zn solder on Cu substrate.

The wetting kinetics, diffusion phenomenon and interfacial reaction of Sn–Bi–Zn solder on Cu substrate were analyzed by experiments. The interface was observed by scanning electron microscope to study the effect of Zn content on its interface.

With the increase in brazing temperature, the final spreading equivalent radius of the solder increases significantly, and the final contact angle of the solder decreases significantly. In addition, when the Zn content is 1%, the spreading effect of solder is the best, the equivalent radius is the largest and the contact angle is the smallest. According to the microstructural analysis, the thick intermetallic compounds layer of the Sn–15Bi–xZn solders on the Cu substrate can be effectively decreased by adding appropriate Zn content.

The wetting kinetics, diffusion phenomenon and interfacial reaction of Sn–15Bi–xZn solder on Cu substrate at different temperatures have not been studied yet.