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This paper aims to study frictional characteristics of thin-walled tubes in the liquid impact forming (LIF) process.

LIF experiments under various impacting velocities were performed on SUS304 stainless steel tubes with various guiding lengths on a custom-designed measurement system to investigate the effects of impacting velocity and guiding length on the coefficient of friction (COF) in the guiding zone.

The results indicate that the COF changes dynamically in the guiding zone and decreases with the deformation process. The reduction range of the COF is wider in LIF than in both the conventional and pulsating hydroforming (THF), which may be contributed to the impacting velocities in a short time. Moreover, the COF decreases faster in the first half of the LIF process than in the second half. Under different impacting velocities and guiding lengths, the decreasing rate of the COF in the first half is more sensitive and obvious than that in the second half.

A method for determining the COF in the guiding zone in LIF is proposed and the frictional characteristics in LIF are studied. Comparing the COF of tubes in conventional THF, pulsating THF and the LIF process is valuable for improving and predicting the tubular formability in various hydraulic environments for industrial production.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-07-2019-0269

This study aims to understand the practices and perceptions of education for sustainable development (ESD) in the university classrooms of Malaysia, exploring how holistic, pluralistic and action-oriented approaches to ESD were linked to their knowingness, attitudes and behavior regarding sustainability.

The perceptions of 2,678 students and 1,013 teachers from a range of undergraduate and postgraduate courses at four Malaysian universities were surveyed. Their views of ESD and sustainability consciousness (SC) were recorded on five-point Likert-type scales, and the resulting data was investigated using descriptive and analytical statistics.

Holistic, pluralistic and action-oriented approaches to ESD teaching and learning were widespread in Malaysian universities, with significant associations found between ESD approaches and SC. While all three approaches enhanced each aspect of SC, the results indicated the need to develop action-oriented approaches more fully.

This research underlines the importance of sustainability education in the context of higher education. It provides empirical evidence for developing action-oriented approaches to ESD and confirms the utility of holistic content and pluralistic pedagogy to the teaching and learning of sustainability.

This research proposes an innovative fault-tolerant media content list management technology applied to the smart robot domain.

A fault tolerant Content List Management Unit (CLMU) for real-time streaming systems focusing on smart robot claw machines is proposed to synchronize and manage the hyperlink stored on media servers. The fault-tolerant mechanism is realized by the self-healing method. A media server allows exchanging the hyperlink within the network through the CLMU mechanism.

Internet users can access the current multimedia information, and the multimedia information list can be rearranged appropriately. Furthermore, the service of the proposed multimedia system should be uninterrupted even when the master media server fails. Therefore, one of the slave media servers enables the Content List Service (CLS) of the proposed CLMU and replaces the defunct master media server.

The recovery time is less than 1.5 seconds. The multimedia transmission is not interrupted while any one of the media servers keeps functioning. The proposed method can serve to stabilize the system of media servers in a smart robot domain.

The purpose is to analyze and discuss the sustainable development (SD) and financing risk assessment (FRA) of resource-based industrial clusters under the Internet of Things (IoT) economy and promote the application of Machine Learning methods and intelligent optimization algorithms in FRA.

This study used the Support Vector Machine (SVM) algorithm that is analyzed together with the Genetic Algorithm (GA) and Ant Colony Optimization (ACO) algorithm. First, Yulin City in Shaanxi Province is selected for case analysis. Then, resource-based industrial clusters are studied, and an SD early-warning model is implemented. Then, the financing Risk Assessment Index System is established from the perspective of construction-operation-transfer. Finally, the risk assessment results of Support Vector Regression (SVR) and ACO-based SVR (ACO-SVR) are analyzed.

The results show that the overall sustainability of resource-based industrial clusters and IoT industrial clusters is good in the Yulin City of Shaanxi Province, and the early warning model of GA-based SVR (GA-SVR) has been achieved good results. Yulin City shows an excellent SD momentum in the resource-based industrial cluster, but there are still some risks. Therefore, it is necessary to promote the industrial structure of SD and improve the stability of the resource-based industrial cluster for Yulin City.

The results can provide a direction for the research on the early warning and evaluation of the SD-oriented resource-based industrial clusters and the IoT industrial clusters, promoting the application of SVM technology in the engineering field.

The advancement of enterprise social networks (ESNs) facilitates information sharing but also presents the challenge of managing information boundaries. This study aims to explore the factors that influence the information-control behavior of ESN users when continuously sharing information.

This study specifies the information-control behaviors in the “wall posts” channel and applies communication privacy management (CPM) theory to analyze the effects of the individual-specific factor (disposition to value information), context-specific factors (work-relatedness and information richness) and risk-benefit ratio (public benefit and public risk). Data on actual information-control behaviors extracted from ESN logs are examined using multilevel mixed-effects logistic regression analysis.

The study's findings show the direct effects of the individual-specific factor, context-specific factors and risk-benefit ratio, highlighting interactions between the individual motivation factor and ESN context factors.

This study reshapes the relationship of CPM theory boundary rules in the ESN context, extending information-control research and providing insights into ESNs' information-control practices.

Based on the cognition–affect–conation pattern, this study explores the factors that affect the intention to use facial recognition services (FRS). The study adopts the driving factor perspective to examine how network externalities influence FRS use intention through the mediating role of satisfaction and the barrier factor perspective to analyze how perceived privacy risk affects FRS use intention through the mediating role of privacy cynicism.

The data collected from 478 Chinese FRS users are analyzed via partial least squares-based structural equation modeling (PLS-SEM).

The study produces the following results. (1) FRS use intention is motivated directly by the positive affective factor of satisfaction and the negative affective factor of privacy cynicism. (2) Satisfaction is affected by cognitive factors related to network externalities. Perceived complementarity and perceived compatibility, two indirect network externalities, positively affect satisfaction, whereas perceived critical mass, a direct network externality, does not significantly affect satisfaction. In addition, perceived privacy risk generates privacy cynicism. (3) Resistance to change positively moderates the relationship between privacy cynicism and intention to use FRS.

This study extends knowledge on people's use of FRS by exploring affect- and cognitive-based factors and finding that the affect-based factors (satisfaction and privacy cynicism) play fully mediating roles in the relationship between the cognitive-based factors and use intention. This study also expands the cognitive boundaries of FRS use by exploring the functional condition between affect-based factors and use intention, that is, the moderating role of resistance to use.

Hospital information system (HIS) can be examined as a vital factor for developing the quality of health care and cost managing. There exists abundant literature on HISs, but implementation-based literature of HIS is rare, typically about progressive countries. However, a study that can comprehensively review published articles is scarce. Therefore, this paper aims to examine the systematic and comprehensive study of HIS in developed countries. Together, the benefits and harms relevant to HIS’s different mechanisms have been considered, and the fundamental challenges of them are addressed to design more efficient HIS in the future.

HIS has been used globally for numerous years and is now being used in a wide area. HIS is broadly used in clinical settings. Information technology (IT) and information system have been suggested as a required piece to solve the health-care-related issues. Hence, to improve HIS’s ability, this paper conducted a review method concentratating on research related to HIS until 2019. A total of 21 papers were recognized and examined as principal research for the summary.

The authors found that HIS can help in reduction of medical mistakes, enhancement doctors’ performance and increase in the quality of the care provided. HIS management can be used to provide better health-care services. Therefore, HIS must be sensible and use clear structures. The authors conclude that, generally, with an increase in awareness, acceptability and the need for HIS worldwide, there will be more strategies and approaches available.

First, this paper provides an outline of the status of HIS. Second, it identifies some distinct research gaps that could be worth studying. Some flawless work may be removed because of applying some filters to select the original articles. Surveying all the papers on the topic of HIS is impossible, too.

Design and sustainability of HIS is still a big issue for most developing countries, despite its wide usage in the developed countries. The technology is changing rapidly, so the field should be reviewed regularly. This paper suggests a suitable framework that will guide HIS in the local conditions of developing countries.

The government will be assisted by the suggested solving ways in its performance and design of electronic health-care projects.

The study brings the viewpoints on the state of HIS mechanisms in developing countries. The paper’s results can offer visions into future research requirements. By providing comparative information and analyzing the current growths in this area, this study will support researchers and professionals to understand the progress in HIS mechanisms better.

The authors study the effects of altruism and intention for succession on family firm's reputation risk-taking behaviors in Chinese publicly listed companies.

The authors use earnings management as a proxy for reputation risk in family firms, and hand-collected relationship between family members to measure the closeness of incumbent family members and their potential successors as a proxy for the altruistic degree.

Results show that, in developing countries like China, familial altruism in family firms with succession plans, which does not reduce the practice of earnings management, should be considered by practitioners while detecting it.

The hand collected data are very unique; the authors have focused on the relationship between incumbents and successors and the authors define their closeness by using genes shared between them.

The aim of the paper is to rank and analyze the key strategies to sustainable finance adoption in the manufacturing sector using Fuzzy Delphi method (FDM), Interpretive Structural Modeling (ISM) and MICMAC (impact matrix cross-reference multiplication applied to a classification) analysis.

The study develops a novel framework to identify and analyze the mutual relationships among set of sustainable policies using extensive literature survey and experts opinion. Initially, the study found 14 strategies to implement sustainable finance with the help of vast literature. Then, the list of identified factors were screened through Fuzzy Delphi Method (FDM). Based on driving and dependence power, the final list of factors are divided into three categories.

The study findings reveal that “environmental rules and practices”, “financial incentives, tax reduction and subsidy”, have strongest driving power for promoting sustainable financial system in Pakistani manufacturing sector. Furthermore, “environmental awareness” and “long term vision” are found to be highly influenced by other corresponding elements in a system.

The ISM approach assists professionals, academics, and managers in identifying and ranking policies in implementing green business techniques. The hierarchical representation of ISM results provides a roadmap for decision-makers to navigate and prioritize factors effectively, facilitating the implementation of strategies that contribute to sustainable growth within organizations.

The study results provide interesting clues regarding green finance policies that provide the foundations, incentives, protections or other provisions that support the ecological conservancy’s mission. Specifically, the findings guide that government must offer research grants to private enterprises, research and development institutions, and universities to promote environmental protection and develop transformative technologies such as waste recycling, renewable energy, carbon capture, and power consumption.

The exploration of strategies for sustainable finance adoption with the help of mixed methodological approach and classification of these strategies on the basis of importance level is a new attempt in the field of manufacturing sector.

This paper aims to study the pricing strategies of an online trading platform with indirect network externalities by considering heterogeneous trading behavior in the downstream market and the long tail.

The game theory, optimization and comparative static are used in this research. The equilibria are derived from the game theory, and with them, the authors optimize the platform’s profit function. Comparative static is used to study pricing strategies.

It is found that with heterogeneous trading behavior, the transaction-based model is more profitable than the subscription-based model by reason of the feasibility of “price discrimination”. However, with certain advantages of subscription fees such as avoiding offline transactions, the subscription-based model is better with a concentrated distribution of sellers’ revenues (the Gini coefficient is small). With a lucrative long tail, the platform should set a low price to attract small sellers in the long tail. Besides, if the Gini coefficient is large, the effects of the market entry barrier of sellers on the optimal price in each model may be opposite.

It implies that the choice of revenue models and pricing strategies are influenced by the Gini coefficient or the long tail. The exogenous setting in which buyers can use the platform for free needs further extension.

The authors provide insights on how to choose revenue models and how to price the sellers with the long tail phenomenon.

This paper emphasizes the role of the long tail on pricing strategies and the effect of heterogeneous trading behavior on model selection.