Search results

This research focuses on developing a dual-nozzle slurry-based extrusion 3D printer capable of fabricating intricate zirconia structures. The designed 3D printer combines material extrusion and photopolymerization technologies to improve material diversity, precision and cost-effectiveness.

The 3D printer design incorporates ultraviolet curing to instantly cure extruded zirconia slurry thereby, eliminating the need for a step-wise curing procedure. Printing parameters were optimized to achieve high-quality prints, and supports made of polyethylene terephthalate glycol were used for intricate geometries. The printability and mechanical properties were evaluated for two different zirconia slurry compositions: 70 / 30 and 80 / 20 powder-to-resin weight percentages. The printed green body was subjected to a two-phase sintering process.

The 3D printer fabricated structures with features subtending angles greater than 50 degrees and a filling density above 80% without any supports. Shrinkage analysis showed the 80 / 20 composition resulted in higher density parts, with shrinkage ratios of 25.23%, 26.23% and 27.26% along the X, Y and Z axes, respectively. The sintered objects displayed hardness (1525 HV) and flexural strength (117 MPa), with minimal porosity.

This study demonstrates the development of a cost-effective dual-nozzle 3D printer that can effectively fabricate functional parts with complex material compositions and geometries that can cater to the futuristic requirements of high-end industries.

The purpose of this paper is to examine the influence of intelligent manufacturing on audit quality and its underlying mechanism as well as the variation in this influence across different types of organizations.

This research utilizes a difference-in-differences (DID) method to examine how enterprises that apply intelligent manufacturing choose auditors and impact their audit work. The study is based on 15,228 observations of Chinese-listed A-shares from 2011 to 2020.

(1) There is a strong correlation between intelligent manufacturing and audit quality. (2) This positive correlation is statistically significant only in state-owned enterprises (SOEs), those that have steady institutional investors and where the roles of the CEO and chairman are distinct. (3) Enterprises that have implemented intelligent manufacturing are more inclined to employ auditors who possess extensive industry expertise. The auditor's industry expertise plays a crucial role in ensuring audit quality. (4) The adoption of intelligent manufacturing also leads to higher audit fees and longer audit delay periods.

This paper validates the beneficial impact of intelligent manufacturing on improving corporate governance. In addition, it is recommended that managers prioritize the involvement of skilled auditors with specialized knowledge in the industry to ensure the high audit quality and the transparency of information in intelligent manufacturing enterprises.

This study builds upon previous research that has shown the importance of artificial intelligence in enhancing audit procedures. It contributes to the existing body of knowledge by examining how enterprise intelligent manufacturing systems (IMS) enhance audit quality. Additionally, this study provides valuable information on how to improve audit quality in the field of intelligent manufacturing by strategically selecting auditors based on resource dependency theory.

This paper aims to validates a framework using the Uses and Gratifications Theory (UGT) to study the effect of values, i.e. Functional Value (FV), Social Value (SV), Emotional Value (EV) and Monetary Value (MV), on the Patronage Intention (PI) of Social Network Users (SNU’s) with mediating role of Perceived Usefulness (PU).

A survey method was used to collect responses from 302 SNUs, and the variance-based structural equation method was used to understand the relationships among the constructs.

The results found a significant positive effect of FV and EV on Perceived Usefulness (PU) and MV and PU on Patronage intention (PI) of SNUs. Further, PU partially mediated the relationship of EV with PI.

This study used the UGT to understand the effect of values on the PI of SNUs. This research study contributes to the existing social networks/social media literature.

Despite increasing awareness among fashion consumers about the positive environmental and societal impacts of sustainable fashion as a viable alternative to fast fashion, their actual adoption behavior often diverges. This study aims to empirically investigate consumers’ resistance barriers to sustainable fashion clothing.

This study utilizes innovation resistance theory to examine the barriers to consumer intention to buy sustainable clothing. The study collected a large sample (N = 745) of fashion consumers from the USA and India to test a research model.

The study finds that value, social risk, tradition and image barriers significantly reduce consumers’ intentions to buy sustainable fashion clothing. Additionally, the findings highlight that environmental concern moderates the relationship between social risk barriers and buying intentions.

The study findings contribute to the existing sustainable fashion literature by highlighting the main barriers for sustainable clothing consumption and emphasizing the crucial role of social elements, economic values and the image of sustainable fashion products in shaping consumer behavior within the fashion landscape.

This paper aims to provide a full introduction, new classification, comparison and investigation of the challenges as well as applications of layerless 3D printing, which is one of the industry 4.0 pioneers.

Given the significance and novelty of uniform 3D printing, more than 250 publications were collected and reviewed in an unbiased and clear manner.

As a result, the majority of uniform parts printed in polymer form are known up to this point. In a novel division for better researchers’ comprehension, uniform printing systems were classified into three categories: oxygen inhibition (OI), liquid lubrication (LL) and photon penetration (PP), and each was thoroughly investigated. Furthermore, these three approaches were evaluated in terms of printing speed, precision and accuracy, manufacturing scale and cost.

The parameters of each approach were compared independently, and then a practical comparison was conducted among these three approaches. Finally, a variety of technologies, opportunities, challenges and advantages of each significant method, as well as a future outlook for layerless rapid prototyping, are presented.

The impact of enterprise social media (ESM) on employees is not always beneficial. The constant connectivity of ESM can trigger emotional issues, threatening employees' psychological states. This study aims to explore the potential risks of ESM usage on thriving at work by examining how ESM usage affects thriving and for whom this relationship is amplified.

Drawing on Affect Event Theory, this study proposes a research model for investigating the underlying mechanisms and boundary conditions of the negative impacts of different ESM usage patterns on employees' thriving at work. This study employed Smart-PLS 4.0 with structural equation modeling to analyze multi-wave survey data from 255 employees, testing the proposed model.

The results indicate the following: (1) ESM usage triggers employees' workplace fear of missing out (WFoMO), increasing their online vigilance and consequently hindering their thriving at work. (2) The impact of ESM usage on employees' WFoMO and thriving at work varies with their ambition levels, with high-ambition employees being more susceptible to negative effects and (3) Different types of ESM usage exert distinct effects on employees.

This study substantiates the potential negative impact of ESM usage on employees' thriving at work, contributing to the literature on the “dark side” of ESM usage and thriving at work. This study confirms the critical mediating role of emotion, offering a novel theoretical perspective on understanding the mechanisms linking ESM usage and its outcomes. Additionally, this study identifies the moderating role of employee ambition, complementing the boundary conditions of ESM usage.

The purpose of the present study is to reveal the antecedents of the new green product success (NGPS) of small and medium-sized enterprises (SMEs) that manufacture in Türkiye with a middle-income economy. To this end, a research model for the serial mediating role of green human capital (GHC) and green adaptive ability (GAA) in the relationship between green mindfulness (GM) and NGPS was developed and tested. Determining the driving forces of NGPS is essential due to the contributions of SMEs manufacturing, especially in middle-income economies, such as Türkiye, to the national economy.

The present study used partial least squares structural equation modeling (PLS-SEM) to test the hypothesized relationships. The study hypotheses were tested in a sample of 396 manufacturing enterprises, qualified as SMEs in Türkiye with ISO 14001 certificates.

Empirical evidence indicates that GM, GHC and GAA act as significant antecedents of NGPS. Furthermore, empirical evidence demonstrates that GHC and GAA, in turn, mediate the relationship between GM and NGPS.

Managers, especially in manufacturing SMEs, should be aware that they need to develop intangible resources to improve NGPS. Increased investment in GM results in higher levels of GHC and GAA, which collectively leads to improved NGPS.

The current literature has not previously explained the mechanism of the relationship between GM and NGPS. The originality of the present study, which discusses the relevant research gap, is to develop an integrated framework to investigate how GM impacts NGPS, specifically for SMEs, and to test it empirically.

As a contribution to the social ties and dynamic capabilities literature, the purpose of this study is to examine the boundary role of the industrial factors (competitive intensity, dependence on suppliers and demand uncertainty) on the relationship between small and medium-sized enterprises (SMEs) social ties (business ties and political ties) and firm performance.

Data were collected from 1,077 SME top-level managers in Turkiye. The proposed model is analyzed using partial least squares (PLS) path modeling in SmartPLS 4.0 software.

The results elucidate how demand uncertainty serve to moderate the influence exerted by both business and political ties upon the performance of SMEs. However, the moderating effects of competitive intensity and dependence on suppliers, although initially hypothesized, were not found to have a significant impact on the relationships.

The relevance of social ties of SMEs may depend on the industrial factor. Although both political and business ties are effective on the customer side, these ties may become irrelevant when it comes to competition and supplier relations. In competitive SME settings, where businesses are vying for similar markets, the effectiveness of ties might be questionable. In such cases, SMEs might invest in building in-house capabilities and competencies, rather than relying on their relational networks.

This study contributes to the understanding of how relational networks, which are considered as dynamic managerial capabilities, impact SMEs performance. It also fills an important gap by testing the boundary role of industrial factors on this relationship. The empirical data is collected from the Turkish context, which is also an original aspect of the study, considering most of the social ties literature has a limited focus on a few contexts. The results also indicate new areas for discussion and exploration, indicating potential avenues for further research.

This study aims to use corporate social responsibility (CSR) reporting focused on poverty alleviation in China as a case to demonstrate a unique interplay between the state and private enterprises. It illustrates how CSR reporting has influenced both the mechanisms and outcomes of their interactive relationship, contributing to the construction of symbolic power.

Drawing on Bourdieu’s theory of symbolic power, this study explores how symbolic power has been constructed and reinforced between the state and private enterprises. It highlights the unique role of CSR reporting in facilitating an alignment between private enterprises objectives and state goals, ultimately reinforcing symbolic and social order. The empirical materials examined are the CSR reports prepared by the top 20 private enterprises in China from 2017 to 2022.

Major private business enterprises in China actively engage with the state’s objectives on poverty alleviation as reflected through their CSR reporting practices. This engagement is evidenced by shifts in keywords, dominant language and reporting structure, which closely align with the state’s stance on the issue. As a result, these enterprises receive heightened public recognition, which in turn helps reinforce the symbolic power and its influence on corporate behaviour.

This paper contributes to the CSR accounting literature by revealing a strategic role of CSR reporting that extends beyond conventional compliance levels commonly observed in Western liberal democratic societies. It serves as a function that facilitates interaction between the state and private enterprises in a symbolic power relationship, where both parties mutually benefit from the alignment of interests in poverty alleviation and social positioning.

This study aims to provide a comprehensive overview of thin-film temperature sensors (TTS), focusing on the interplay between material properties and fabrication techniques. It evaluates the current state of the art, addressing both low- and high-temperature sensors, and explores the potential applications across various fields. The study also identifies challenges and highlights emerging trends that may shape the future of this technology.

This study systematically examines existing literature on TTS, categorizing the materials and fabrication methods used. The study compares the performance metrics of different materials, addresses the challenges encountered in thin-film sensors and reviews the case studies to identify successful applications. Emerging trends and future directions are also analyzed.

This study finds that TTS are integral to various advanced technologies, particularly in high-performance and specialized applications. However, their development is constrained by challenges such as limited operational range, material degradation, fabrication complexities and long-term stability. The integration of nanostructured materials and the advancement of wireless, self-powered and multifunctional sensors are poised to drive significant advancements in this field.

This study offers a unique perspective by bridging the gap between material science and application engineering in TTS. By critically analyzing both established and emerging technologies, the study provides valuable insights into the current state of the field and proposes pathways for future innovation in terms of interdisciplinary approaches. The focus on emerging trends and multifunctional applications sets this review apart from existing literature.