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This paper aims to describe a method for efficient frequency domain model order reduction. The method attempts to combine the desirable attributes of Krylov reduction and proper orthogonal decomposition (POD) and is entitled Krylov enhanced POD (KPOD).

The KPOD method couples Krylov’s moment-matching property with POD’s data generalization ability to construct reduced models capable of maintaining accuracy over wide frequency ranges. The method is based on generating a sequence of state- and frequency-dependent Krylov subspaces and then applying POD to extract a single basis that generalizes the sequence of Krylov bases.

The frequency response of a pre-stressed microelectromechanical system resonator is used as an example to demonstrate KPOD’s ability in frequency domain model reduction, with KPOD exhibiting a 44 per cent efficiency improvement over POD.

The results indicate that KPOD greatly outperforms POD in accuracy and efficiency, making the proposed method a potential asset in the design of frequency-selective applications.

The tribological behavior, i.e. friction coefficient and wear rate, and vibration characteristics of the water-lubricated bearing was investigated. The water-lubricated bearing is made of three different materials, i.e. polyether-ether-ketone (PEEK), polyimide (PI) and nitrile-butadiene rubber (NBR).

The tribological behavior was investigated experimentally on a specially designed test rig. Three vibration sensors were used to record the vibration of the bearing.

The results indicated that the variation of friction coefficient with rotation speed agrees well with the trend of Stribeck curve. The tested friction coefficient of rubber bearing is higher than that of the other two bearings whether it is in the state of mixed-lubrication or hydrodynamic lubrication, and which causing a larger wear rate in rubber bearing. The PEEK bearing exhibits the best tribological properties due to it has smaller friction coefficient and wear rate. However, it can be found that the rubber bearing gives the minimum vibration acceleration, which means that the rubber bearing has the most potential to improve the stability of water-lubricated bearing rotor system.

In this study, a group of experiment studies conducted on a specially designed test rig. The comprehensive performance, including friction coefficient, vibration acceleration and wear rate, of water-lubricated bearing with three different materials, i.e. PEEK, PI and NBR, was compared systematically. The experiment research may offer a reference for the selection of material in water-lubricated bearing in specific operating conditions.

The peer review history for this article is available at: https://publons.com/publon/10.1108/ILT-10-2019-0447/

The purpose of this paper is to value put option contracts in hedging the risks in a supply chain consisting of a component supplier with random yield and a manufacturer facing stochastic demand for end products.

This paper adopts stochastic inventory theory, game theory, optimization theory and algorithm and MATLAB numerical simulation to investigate the manufacturer’s ordering and the supplier’s production strategies, and to study the coordination and optimization strategies in the context of random yield and demand.

The authors find that put options can not only facilitate the manufacturer’s order but also the supplier’s production, that is, the manufacturer and the supplier can effectively manage their involved risks and earn more expected profits by adopting put options. Further, the authors find that the single put option contract fails to coordinate such a supply chain. However, when combined with a protocol, it is able to coordinate the supply chain.

This paper is the first effort to study the intersection of put option contracts and random yield in the presence of a spot market. From a new perspective, the authors explore the supply chain coordination. The authors propose a mechanism to coordinate the supply chain under put option contracts.

As a result of awareness of the increasing school accidents in recent years and severe damage to school infrastructure by Typhoon Morakot, this paper seeks to discuss the current natural disaster prevention education strategy in Taiwan and investigates the seriously damaged schools from Typhoon Morakot.

Methods of analysis used in this paper include aerial photo interpretation of landslides and debris flows with the aid of field investigation and spatial rainfall distribution by GIS analysis. Additionally, the reasons attributed to the schools’ damages and disaster prevention education strategies in schools after Morakot are discussed.

After an overall review of the current disaster prevention education programs, the following items are to be stressed in disaster prevention education as a result of studying the effects of Typhoon Morakot: integration of disaster prevention education into formal school curricula; teacher training for campus disaster prevention education; development of a coalition of campus and community‐based disaster management; and study of the impact of climate change and school vulnerability. School infrastructure safety evaluation and risk assessment, education materials and design activities for psychological recovery after disasters, and the connection of school safety management and community‐based disaster prevention are deemed urgent after Typhoon Morakot in Taiwan.

The current achievements of disaster prevention education in Taiwan include the development of operation and support mechanisms, curricula development and experimental schools selection, development of teacher training program, the popularization of disaster prevention education, the development and use of learning materials, and the determination of an effective assessment mechanism. It is expected that disaster prevention education will become part of the formal school curricula. School safety and vulnerability assessments as a result of climate change and student psychological recovery following disasters are urgent lessons to be implemented after learning from the results of Typhoon Morakot in Taiwan.

The aim of this paper is to provide basic information on the types of particulate cyclones separators used in the chemical and process industries, their principles of operation and factors affecting their performance.

A general review of the types of particle cleaning cyclones used in the chemical and process industries was carried out and the principles guiding their operation and performance discussed. Information which could aid the choice of cyclone for new applications is also discussed.

It was concluded that the choice of cyclone for any application is associated with a trade‐off between two contrasting performance indicators (collection efficiency and pressure drop). Adequate and accurate data gathering is essential right from the design stage for smooth operation of cyclone.

The paper highlights the general principle of operation of cyclone separators and the factors that affect their performance.

The practice of management having control over auditor appointment and compensation is believed to be a fundamental cause for the lack of auditor independence. While researchers propose alternative auditor appointment procedures to improve auditor independence, there are a few settings that allow researchers to examine alternative auditor appointment procedures such as regulator designation of auditors. This research aims to investigate the effects of regulator designation of auditors and litigation risk on auditor independence in a Chinese setting

This study adopts a 2 × 2 between-subjects experimental design. A total of 110 surveys were sent out and 81 were collected from eastern China.

The results of an experiment with 81 Chinese auditors indicate that regulator designation of auditors improves auditor independence. In particular, auditors designated by the regulator feel less pressure from the audited company, perceive themselves to be more independent and are more willing to challenge the audited company’s aggressive financial reporting compared with those directly hired by the company. In addition, litigation risk moderates the effect of regulator designation of auditors on auditor independence such that regulator designation of auditors has a stronger impact on auditor independence when the litigation risk is low.

This study is also subject to limitations. First, regulator designation of auditors in China was examined. While regulator designation of auditors seems to improve auditor independence in the Chinese context, it is unclear if the same results will be observed in other economies, as China is a unique setting. For example, the majority of listed companies in China are under the control of government-related agencies. Consequently, the government has significant power in influencing auditor appointment policy. In contrast, the majority of other economies are more market-oriented with less government influence. Future studies in other markets will further enrich the understanding on regulator designation of auditors. Second, only regulator designation of auditors for state-owned enterprises was examined. It is unclear how regulator designation of auditors would affect non-state-owned enterprises. Moreover, future research could investigate the designation of auditors in other forms such as the designation of auditors by investors. Third, auditor appointment procedure may affect perceived risk of loss of client which in turn influences auditor independence. Future research could further investigate the mechanism through which regulator designation of auditors affect auditor independence.

Results of an experiment with 81 Chinese auditors show that regulator designation of auditors can improve auditor independence. In a decision context where auditors must provide judgments relating to a proposed audit adjustment that is quantitatively material and will affect the client’s ability to meet debt covenants, auditors designated by the State-Owned Assets Management Bureaus are more resistant to management pressure and are less willing to accept the management’s aggressive financial reporting practice than those directly hired by the company.

The purpose of this paper is to utilize “Wuli‐Shili‐Renli (WSR)” system methodology to analyze complexity of knowledge and knowledge management and create models for knowledge management system (KMS) synthetically.

As a complex system, knowledge management should be analyzed and established by system methodologies. There are many system methodologies. Owing to WSR is characteristic of oriental culture; the paper introduces concept and working process of WSR system methodology in knowledge management from WSR perspective.

WSR system methodology can be used to analyze contents of WSR in KMS and to establish an effective KMS.

How to define WSR in KMS is a little difficult for users.

A new approach for system analysis and establishment of a successful KMS.

The paper shows how the WSR system approach can integrate quantitative approach and qualitative analysis to analyze and establish a KMS synthetically.

Although recent years have shown increasing popularity of e-commerce worldwide, there is still a lack of studies comprehensively exploring trust issue in e-commerce. Based on trust transfer theory and signaling theory, the purpose of this paper is to present an integrated research model to test the relationships between trust dimensions and e-loyalty, interactions among trust dimensions, as well as antecedents of different trust dimensions.

Data were collected through a web-based survey in Chinese markets and structural equation modeling with partial least squares was used to analyze the data.

The results identified that three trust dimensions all have significant impacts on e-loyalty, and relationships existed in different trust dimensions. Moreover, information quality and security protection are important factors determining institutional trust while store reputation is the most salient factor determining interpersonal trust.

This research contributes to the body of knowledge on trust by exploring the nature of trust with a multidimensional scale. Another theoretical contribution is the provision of a comprehensive understanding of the trust antecedents in e-commerce. Furthermore, this research benefits the companies doing e-businesses by allowing them to better understand how to improve consumers’ trust in the online environment and thus to retain and attract more loyal customers and succeed in online businesses.

Advanced manufacturing machines (AMMs) are searched as a momentous asset across the manufacturing societies for quenching and addressing the production units under economical circumstances, i.e. production of high-quality of goods under feasible cost. AMMs are significant in holding the managers against their rivals and competitors with high profit margins. The authors developed the decision support mechanism/portfolio (DSM-P) consist of knowledge-based cluster approach with a dynamic model. The purpose of research work is to measure overall economic worth of AMMs under objective and grey-imperfect (mixed) data by exploring the proposed DSM-P.

The authors developed the DSM-P that consist of knowledge-based cluster, three multi-criteria decision-making (MCDM) techniques-1-2-3 with complementary grey relational analysis-4(GRA), approach with a dynamic model (complied by technical plus cost and agility measures of AMMs). The proposed DSM-P enables the manager to map the overall economic worth of candidate AMMs under objective and grey-mixed data.

The presented DSM-P assist the managers for handling the selection problem of AMMs, i.e. CNCs, robots, automatic-guided vehicle, etc under mixed (objective cum grey) data. To enable the readers for intensely understand the work, the utility of proposed approach is displayed by illustrating a polar robot evaluation and selection problem. It is ascertained that the robot candidate-11 alternative is fulfilling the entire technical cum cost and agility measures.

The DSM-P provides more precise and reliable outcomes due to a usage of the dominance theory. Under the dominance theory, the ranks are obtained by MCDM techniques-1-2-3 are compared with ranks gathered by the GRA-4 under objective cum grey data, formed the novelties in presented research work. From a future perspective, the grey-based models in DSM-P can be built/extended/constructed more extensive and can be simulated by the same approach.