Siavash Moayedi, Jamal Zamani and Mohammad Salehi
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…
Abstract
Purpose
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.
Design/methodology/approach
Given the significance and novelty of uniform 3D printing, more than 250 publications were collected and reviewed in an unbiased and clear manner.
Findings
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.
Originality/value
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.
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Zhiqing Tian, Bin Xu, Xiaobing Fan, Bingli Pan, Shuang Zhao, Bingchan Wang and Hongyu Liu
This paper aims to investigate the crucial roles of textured surfaces on oil-impregnated polytetrafluoroethylene (PTFE) created by a facile tattoo strategy in improving…
Abstract
Purpose
This paper aims to investigate the crucial roles of textured surfaces on oil-impregnated polytetrafluoroethylene (PTFE) created by a facile tattoo strategy in improving tribological properties.
Design/methodology/approach
Pored PTFE (PPTFE) was prepared by mixing powder PTFE and citric acid and experienced a cold-press sintering molding process. Subsequently, textured surfaces were obtained with using a tattoo strategy. Surface-textured PPTFE was thus impregnated with polyethylene glycol 200, yielding oil-impregnated and pore-connected PPTFE.
Findings
This study found that oil-impregnated and surface-textured PPTFE exhibited excellent tribological performances with an 82% reduction in coefficient of friction and a 72.5% lowering in wear rate comparing to PPTFE.
Originality/value
This study shows an efficient strategy to improve the tribological property of PTFE using a tattoo-inspired surface texturing method.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2024-0378/
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Muzammil Hussain, Trong Tuan Luu and Timothy Marjoribanks
Healthcare is a service industry where fulfilling the needs of patients (customers) is challenging. Various factors, including cost, system complexity, staffing behaviours and…
Abstract
Purpose
Healthcare is a service industry where fulfilling the needs of patients (customers) is challenging. Various factors, including cost, system complexity, staffing behaviours and technological advances, play vital roles. Drawing upon social exchange theory, this study seeks to determine how paternalistic leadership (authoritarianism, benevolence and morality) influences employee service innovative behaviour and counterproductive work behaviour via perceived supervisor support in the healthcare sector. Additionally, the study investigates the role of the public service motivation of individuals as a moderating factor in this relationship.
Design/methodology/approach
A pilot study and a main study were conducted to test the hypotheses. We collected data from healthcare professionals in Pakistan’s large public, private and semi-government hospitals. We applied bootstrapping with 5,000 replications and structural equation modelling to analyse the data.
Findings
Results indicate that authoritarianism was negatively associated with service innovative behaviour, whereas benevolent and moral behaviours were positively associated with service innovative behaviour via perceived supervisor support (mediation). Our findings shed light on the moderating role of public service motivation.
Originality/value
This empirical quantitative study has several theoretical and practical implications. Findings of our study provide evidence that a paternalistic leadership style can influence both positive (service innovative behaviour) and negative (counterproductive working behaviour) working behaviours simultaneously via perceived supervisor support at an individual level in the service (healthcare) industry. This study also highlights the moderating role of public service motivation as an individual motivation factor.
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Jingru Lian, Xiaobing Fan, Bin Xu, Shan Li, Zhiqing Tian, Mengdan Wang, Bingli Pan and Hongyu Liu
This paper aims to regulate the oil retention rate and tribological properties of pored polytetrafluoroethylene (PPTFE) using polyvinyl alcohol (PVA)-based oil gel.
Abstract
Purpose
This paper aims to regulate the oil retention rate and tribological properties of pored polytetrafluoroethylene (PPTFE) using polyvinyl alcohol (PVA)-based oil gel.
Design/methodology/approach
PPTFE was first prepared by using citric acid (CA) as an efficient pore-making agent. Subsequently, PVA and chitosan solution was introduced into the pores and experienced a freezing-thawing process, forming PVA-based gels inside the pores. Then, the PPTFE/PVA composite was impregnated with polyethylene glycol 200 (PEG200), yielding an oil-impregnated PPTFE/PVA/PEG200 composite.
Findings
It was found that the oil-impregnated PPTFE/PVA/PEG200 composite exhibited advanced tribological properties than neat PTFE with reductions of 53% and 70% in coefficient of friction and wear rate, respectively.
Originality/value
This study shows an efficient strategy to regulate the tribological property of PTFE using a PVA-based oil-containing gel.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-11-2024-0432/
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Guozhang Xu, Wanming Chen, Yongyuan Ma and Huanhuan Ma
Drawing on the tenets of institutional theory, the purpose of this study is to examine the impact of Confucianism on technology for social good, while also considering the…
Abstract
Purpose
Drawing on the tenets of institutional theory, the purpose of this study is to examine the impact of Confucianism on technology for social good, while also considering the moderating influence of extrinsic informal institutions (foreign culture) and intrinsic formal institutions (property rights).
Design/methodology/approach
This study constructs a comprehensive database comprising 9,759 firm-year observations in China by using a sample of Chinese A-share listed firms from 2016 to 2020. Subsequently, the hypotheses are examined and confirmed, with the validity of the results being upheld even after conducting endogenous and robustness tests.
Findings
The findings of this study offer robust and consistent evidence supporting the notion that Confucianism positively affects technology for social good through both incentive effect and normative effect. Moreover, this positive influence is particularly prominent in organizations with limited exposure to foreign culture and in nonstate-owned enterprises.
Originality/value
The findings contribute to the literature by fostering a deep understanding of technology for social good and Confucianism research, and further provide a nuanced picture of the role of foreign culture and property rights in the process of technology for social good in China.
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Yueming Zhao, Gaohui Li and Zuying Mo
To explore the influence factors and pathways of users’ willingness to participate in the misinformation purification process on the Weibo platform. The findings of this study are…
Abstract
Purpose
To explore the influence factors and pathways of users’ willingness to participate in the misinformation purification process on the Weibo platform. The findings of this study are expected to provide valuable insights that can enhance the self-purification mechanisms for misinformation on Weibo, thereby contributing to the effective misinformation control.
Design/methodology/approach
The theoretical framework of the quantitative study is a conceptual model integrated with the theory of planned behavior (TPB), social exchange theory (SET) and co-dependency theory. This model was developed to elucidate the influence factors of users’ willingness to participate in the purification of misinformation on the Weibo platform, the conceptual model was tested and refined through questionnaire surveys, structural equation modeling (SEM) was used to assess its validity and reliability.
Findings
The findings reveal that the attitude toward misinformation purification on the Weibo platform exerts the most significant positive influence on the willingness to engage in such activities. Within the context of this research, community involvement and reciprocity are identified as the factors that have the most substantial positive impact on users’ attitude toward misinformation purification. Conversely, risk perception does not demonstrate a significant influence on users’ attitude toward misinformation purification.
Originality/value
Taking the Weibo platform as an example, this is a pioneering study on the investigation and mechanism of social media self-purification on misinformation and proposes a new perspective to improve the effectiveness of the social media self-purification mechanism from the perspective of focusing on user intention and motivation.
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Xin Feng, Yimeng Zhao, Linan Zhang and Xueli Zhang
The rapid development of information technology, epitomized by AIGC and the metaverse, presents unprecedented challenges to techno-ethics, exposing society to significant risks…
Abstract
Purpose
The rapid development of information technology, epitomized by AIGC and the metaverse, presents unprecedented challenges to techno-ethics, exposing society to significant risks and uncertainties. A systematic investigation and discussion of the construction of techno-ethical order become crucial under the paradigm of risk society theory. The selection of conditions and pathways for constructing a techno-ethical order under the risk society theory paradigm becomes an unavoidable and vital issue.
Design/methodology/approach
Drawing on risk society theory, this study employs scientometrics and qualitative comparative analysis (QCA) to empirically analyze the key factors and conditional pathways in the construction of techno-ethical order. Initially, a quantitative analysis is conducted on 1,490 thematic literature retrieved from CNKI and WoS to identify the hot topics and core concepts in techno-ethical research. Subsequently, QCA configuration analysis is applied to calculate eight evaluation indicators and their weights from the perspectives of government, society and individuals. Finally, the study explores the mechanisms of the impact of these indicators’ weights on the construction of techno-ethical order.
Findings
The analysis of factor weights and pathways indicates that the selection of pathways for constructing techno-ethical order is influenced both by the inherent development patterns of technology and societal systems and cultural values. Literature metrics analysis reveals an overall trend of sustained growth in techno-ethical research, indicating an unprecedented prosperity in this field. Alongside technological advancements, keywords related to “artificial intelligence” play a crucial role in current techno-ethical research. Configuration analysis demonstrates that conditional variables from the dimensions of government, society and individuals form a configuration pathway, influencing and synergistically impacting the overall level of techno-ethical order construction. Attention should be given to the mutual constraints and synergistic effects of factors related to technological development, societal systems and cultural values.
Originality/value
This study, grounded in the risk society theory paradigm, quantitatively explores the key factors and pathways of techno-ethical order construction in academic texts, expanding new perspectives, providing novel insights, establishing innovative methodologies and extending new boundaries in the field. Further enrichment of the dataset and in-depth discussions are warranted for continued advancement.
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Şeniz Özhan, Erkan Ozhan and Ozge Habiboglu
Brand reputation (BR) is one of the most important factors that affect the consumer–brand relationship and give businesses a competitive advantage. Businesses with a strong BR can…
Abstract
Purpose
Brand reputation (BR) is one of the most important factors that affect the consumer–brand relationship and give businesses a competitive advantage. Businesses with a strong BR can increase their market shares and product market prices, in addition to gaining a competitive advantage. In order for businesses to have these advantages, they need to know and analyze their consumers. This study aimed to develop an alternative analysis method by using classification algorithms and regression analysis to measure and evaluate the effect of consumers' BR perceptions on their willingness to pay premium prices (WPP).
Design/methodology/approach
The research data were collected from 483 participants by the online survey method due to the COVID-19 pandemic. The data were first analyzed with regression analysis, and the effect of BR on WPP was found to be significant. Then, using artificial intelligence (AI) methods that were not used in previous studies, consumers' perceptions of BR and WPP were clustered and classified.
Findings
The results revealed the highest and lowest customer groups with BR and WPP and empirically demonstrated that highly accurate practical classification models can be applied to determine strategies in line with these findings.
Originality/value
The model proposed in this study offers an integrated approach by using AI and regression analysis together and tries to fill the gap in the literature in this field. Therefore, the novelty of this study is to quantitatively reveal and evaluate the relationship between BR and WPP by using AI classification algorithms and regression analysis together.
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This study aims to explore the impact mechanism of social support on individual health knowledge creation among users in online patient communities, guide and promote the creation…
Abstract
Purpose
This study aims to explore the impact mechanism of social support on individual health knowledge creation among users in online patient communities, guide and promote the creation of health knowledge and provide insights into managing online patient communities.
Design/methodology/approach
A theoretical model was constructed by integrating social impact and social support theories. Data were collected through questionnaires, and 750 valid responses were analysed using a structural equation model.
Findings
This study found the following. (1) Social support influences individual health knowledge creation through the mediating effects of creative self-efficacy and positive emotions. (2) The general rule of the strength of the influencing factors on individual health knowledge creation is that creative self-efficacy > positive emotions. (3) The general pattern of the mediating effect of attitude factors between social support and health knowledge creation is that creative self-efficacy > positive emotions. (4) The key path for social support to influence individual health knowledge creation is “social support → creative self-efficacy → health knowledge creation”. (5) The dimensions of social support in online patient communities can be divided into information, emotional, respect and network support. Individual health knowledge creation can be divided into health knowledge externalisation, combination, socialisation and internalisation.
Originality/value
This study expands the application scope of social influence theory and opens up the “black box” of the impact of social support on individual health knowledge creation behaviour. Simultaneously, the dimensions of social support, individual health knowledge creation and the mediating role between social support and health knowledge creation are discussed.
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Wenhai Tan, Yichen Zhang, Yuhao Song, Yanbo Ma, Chao Zhao and Youfeng Zhang
Aqueous zinc-ion battery has broad application prospects in smart grid energy storage, power tools and other fields. Co3O4 is one of the ideal cathode materials for water zinc-ion…
Abstract
Purpose
Aqueous zinc-ion battery has broad application prospects in smart grid energy storage, power tools and other fields. Co3O4 is one of the ideal cathode materials for water zinc-ion batteries due to their high theoretical capacity, simple synthesis, low cost and environmental friendliness. Many studies were concentrated on the synthesis, design and doping of cathodes, but the effect of process parameters on morphology and performance was rarely reported.
Design/methodology/approach
Herein, Co3O4 cathode material based on carbon cloth (Co3O4/CC) was prepared by different temperatures hydrothermal synthesis method. The temperatures of hydrothermal reaction are 100°C, 120°C, 130°C and 140°C, respectively. The influence of temperatures on the microstructures of the cathodes and electrochemical performance of zinc ion batteries were investigated by X-ray diffraction analysis, scanning electron microscopy, cyclic voltammetry curve, electrochemical charging and discharging behavior and electrochemical impedance spectroscopy test.
Findings
The results show that the Co3O4/CC material synthesized at 120°C has good performance. Co3O4/CC nanowire has a uniform distribution, regular surface and small size on carbon cloth. The zinc-ion battery has excellent rate performance and low reaction resistance. In the voltage range of 0.01–2.2 V, when the current density is 1 A/g, the specific capacity of the battery is 108.2 mAh/g for the first discharge and the specific capacity of the battery is 142.6 mAh/g after 60 charge and discharge cycles.
Originality/value
The study aims to investigate the effect of process parameters on the performance of zinc-ion batteries systematically and optimized applicable reaction temperature.