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Article
Publication date: 11 April 2008

Mu‐Lan Hsu and Kuan‐Yao Chiu

The purpose of this paper is to determine the value of I‐Ching (also called Book of Changes), the ancient Chinese book of wisdom, which has been used for thousands of…

2850

Abstract

Purpose

The purpose of this paper is to determine the value of I‐Ching (also called Book of Changes), the ancient Chinese book of wisdom, which has been used for thousands of years to help people make decisions in daily life. Recently, eastern and western scholars have begun discussing how to apply the wisdom of I‐Ching to the field of business administration, particularly decision‐making practices.

Design/methodology/approach

A content analysis method was adopted to uncover possible modern management decision‐making constructs. The single words approach did not find frequently appearing words that integrated decision‐making constructs in the context of I‐Ching. Further uncovering I‐Ching's administrative decision‐making approach, the managerial decision‐making model of I‐Ching is explained, including the premises, the decision contingencies, and the decision process.

Findings

By using an academic comparative analysis method, as it applies to managerial decision making, I‐Ching's early management decision‐making model is subsequently compared with western management decision models, which include rational decision making, bounded‐rationality decision making, intuitive decision making, implicit favorite decision making, and garbage‐can decision making.

Research limitations/implications

The majority of scholars that study I‐Ching focus on “practice divination” research, paying attention to the interpretation or critique of the text only. Unfortunately, related literature based upon a social science research foundation is limited.

Originality/value

The value of I‐Ching was determined to lie in allowing flexibility in the decision‐making process.

Details

Chinese Management Studies, vol. 2 no. 1
Type: Research Article
ISSN: 1750-614X

Keywords

Article
Publication date: 1 November 2005

Jason Chan, Wilson Wong, Man Lee and Dien Luu

The Yao Yao Social Group was set up three years ago to tackle the social isolation of people from London's Chinese community who have mental health problems. The group…

Abstract

The Yao Yao Social Group was set up three years ago to tackle the social isolation of people from London's Chinese community who have mental health problems. The group provides a safe environment where people can feel comfortable and speak their mother tongue, and participate in a wide range of activities and outings. Jason Chan, Wilson Wong, Man Lee and Dien Luu describe the group and what it means to them.

Details

A Life in the Day, vol. 9 no. 4
Type: Research Article
ISSN: 1366-6282

Book part
Publication date: 23 August 2017

Xinbo Sun, Yi Cao, Suxiu Li and Xin Li

This chapter outlines the philosophic underpinnings of the self-management paradigm developed over the past three decades by China’s Haier Group, a global leader in white…

Abstract

This chapter outlines the philosophic underpinnings of the self-management paradigm developed over the past three decades by China’s Haier Group, a global leader in white goods. The successful transformation of Haier from a small resource-poor firm to a dominant global giant is often attributed to the self-management culture established in the company by its legendary leader Zhang Ruimin. This management paradigm is a function of the humbleness displayed by Mr. Zhang Ruimin and rooted in his strong belief in the traditional Chinese philosophy of I-Ching and Daoism. We show how the hexagram of Qian (“qian”: humbleness, modesty) from I-Ching is linked to Mr. Zhang’s humble approach and analyze how the six parts of the hexagram of Qian are related to the six development stages of the Haier Group. These insights are used to give some thoughts to the leadership challenge associated with the creation of a dynamic and responsive global organization.

Details

The Responsive Global Organization
Type: Book
ISBN: 978-1-78714-831-4

Keywords

Article
Publication date: 12 November 2021

Xianchun Zhang, Zhu Yao, Wan Qunchao and Fu-Sheng Tsai

Time pressure is the most common kind of work pressure that employees face in the workplace; the existing research results on the effect of time pressure are highly…

564

Abstract

Purpose

Time pressure is the most common kind of work pressure that employees face in the workplace; the existing research results on the effect of time pressure are highly controversial (positive, negative, inverted U-shaped). Especially in the era of knowledge economy, there remains a research gap in the impact of time pressure on individual knowledge hiding. The purpose of this paper is to explore the impact of different time pressure (challenge and hindrance) on knowledge hiding and to explain why there is controversy about the effect of time pressure in the academics.

Design/methodology/approach

The authors collected two waves of data and surveyed 341 R&D employees in China. Moreover, they used regression analysis, bootstrapping and Johnson–Neyman statistical technique to verify research hypotheses.

Findings

The results show that challenge time pressure (CTP) has a significant negative effect on knowledge hiding, whereas hindrance time pressure (HTP) has a significant positive effect on knowledge hiding; job security mediates the relationship between time pressure and knowledge hiding; temporal leadership strengthen the positive impact of CTP on job security; temporal leadership can mitigate the negative impact of HTP on job security.

Originality/value

The findings not only respond to the academic debate about the effect of time pressure and point out the reasons for the controversy but also enhance the scholars’ attention and understanding of the internal mechanism between time pressure and knowledge hiding.

Details

Journal of Knowledge Management, vol. 26 no. 8
Type: Research Article
ISSN: 1367-3270

Keywords

Abstract

Details

International Journal of Accounting & Information Management, vol. 22 no. 3
Type: Research Article
ISSN: 1834-7649

Article
Publication date: 13 June 2022

Qi Zhang, Xingshan Zheng, Yao Yao and Francisca N.M. Dube

Building on the person–supervisor fit theory, this paper examines how and when leader–follower moqi congruence positively impacts task performance.

Abstract

Purpose

Building on the person–supervisor fit theory, this paper examines how and when leader–follower moqi congruence positively impacts task performance.

Design/methodology/approach

With data collected from 174 leader–follower dyads in 41 project teams in Shanghai, China, the authors use polynomial regression and response surface plots to test the hypotheses on the effects of leader–follower moqi congruence.

Findings

Leader–follower moqi congruence positively affects followers' task performance, mediated by coordination. Task coordination was of higher quality when the congruence is achieved at a high level of moqi than at a low level. The effect of leader–follower moqi congruence on task performance (mediated by coordination) was weaker when leader-member exchange was low than when it was high.

Originality/value

This study identifies why leader–follower moqi can improve coordination and task performance. It extends person–supervisor fit theory and is an enhancement for moqi research and practice.

Details

Personnel Review, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0048-3486

Keywords

Article
Publication date: 24 December 2021

Neetika Jain and Sangeeta Mittal

A cost-effective way to achieve fuel economy is to reinforce positive driving behaviour. Driving behaviour can be controlled if drivers can be alerted for behaviour that…

Abstract

Purpose

A cost-effective way to achieve fuel economy is to reinforce positive driving behaviour. Driving behaviour can be controlled if drivers can be alerted for behaviour that results in poor fuel economy. Fuel consumption must be tracked and monitored instantaneously rather than tracking average fuel economy for the entire trip duration. A single-step application of machine learning (ML) is not sufficient to model prediction of instantaneous fuel consumption and detection of anomalous fuel economy. The study designs an ML pipeline to track and monitor instantaneous fuel economy and detect anomalies.

Design/methodology/approach

This research iteratively applies different variations of a two-step ML pipeline to the driving dataset for hatchback cars. The first step addresses the problem of accurate measurement and prediction of fuel economy using time series driving data, and the second step detects abnormal fuel economy in relation to contextual information. Long short-term memory autoencoder method learns and uses the most salient features of time series data to build a regression model. The contextual anomaly is detected by following two approaches, kernel quantile estimator and one-class support vector machine. The kernel quantile estimator sets dynamic threshold for detecting anomalous behaviour. Any error beyond a threshold is classified as an anomaly. The one-class support vector machine learns training error pattern and applies the model to test data for anomaly detection. The two-step ML pipeline is further modified by replacing long short term memory autoencoder with gated recurrent network autoencoder, and the performance of both models is compared. The speed recommendations and feedback are issued to the driver based on detected anomalies for controlling aggressive behaviour.

Findings

A composite long short-term memory autoencoder was compared with gated recurrent unit autoencoder. Both models achieve prediction accuracy within a range of 98%–100% for prediction as a first step. Recall and accuracy metrics for anomaly detection using kernel quantile estimator remains within 98%–100%, whereas the one-class support vector machine approach performs within the range of 99.3%–100%.

Research limitations/implications

The proposed approach does not consider socio-demographics or physiological information of drivers due to privacy concerns. However, it can be extended to correlate driver's physiological state such as fatigue, sleep and stress to correlate with driving behaviour and fuel economy. The anomaly detection approach here is limited to providing feedback to driver, it can be extended to give contextual feedback to the steering controller or throttle controller. In the future, a controller-based system can be associated with an anomaly detection approach to control the acceleration and braking action of the driver.

Practical implications

The suggested approach is helpful in monitoring and reinforcing fuel-economical driving behaviour among fleet drivers as per different environmental contexts. It can also be used as a training tool for improving driving efficiency for new drivers. It keeps drivers engaged positively by issuing a relevant warning for significant contextual anomalies and avoids issuing a warning for minor operational errors.

Originality/value

This paper contributes to the existing literature by providing an ML pipeline approach to track and monitor instantaneous fuel economy rather than relying on average fuel economy values. The approach is further extended to detect contextual driving behaviour anomalies and optimises fuel economy. The main contributions for this approach are as follows: (1) a prediction model is applied to fine-grained time series driving data to predict instantaneous fuel consumption. (2) Anomalous fuel economy is detected by comparing prediction error against a threshold and analysing error patterns based on contextual information.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 15 no. 4
Type: Research Article
ISSN: 1756-378X

Keywords

Article
Publication date: 30 April 2021

Hongjiang Yao, Yongqiang Chen, Yangbing Zhang and Bo Du

The purpose of this paper is to establish an integrated framework of the antecedents of enforcement after contract violations in construction projects and to examine…

Abstract

Purpose

The purpose of this paper is to establish an integrated framework of the antecedents of enforcement after contract violations in construction projects and to examine whether contract provisions (control and coordination provisions) and trust (goodwill and competence trust) affect enforcement mechanisms (contractual enforcement and relational enforcement).

Design/methodology/approach

A survey method was employed to test the hypotheses. The authors collected data from the Chinese construction industry, and general contractor respondents were asked to answer a questionnaire about a contract violation by one of their subcontractors.

Findings

Control provisions and competence trust are positively related to contractual enforcement, but goodwill trust is negatively related to contractual enforcement. Relational enforcement is influenced by goodwill trust and competence trust.

Research limitations/implications

This study treats contract violations as a given variable, and it focuses on contract violations by subcontractors. The cross-sectional design makes it difficult to confirm the causality of the relationships.

Practical implications

Overly strict contractual enforcement can generate disputes and a vicious cycle of retaliation, and overly severe relational enforcement can damage a potentially profitable long-term relationship. In construction projects, the violating party will benefit from this study to avoid excessively contractual enforcement and relational enforcement, thus developing a more collaborative atmosphere on the current project and even establishing a solid long-term relationship.

Originality/value

This study extends the project management literature by investigating the antecedents of enforcement after contract violations, an area not yet fully researched.

Details

International Journal of Managing Projects in Business, vol. 14 no. 6
Type: Research Article
ISSN: 1753-8378

Keywords

Article
Publication date: 21 August 2007

José A. Ramírez‐Hernández, Emmanuel Fernandez, Matilda O'Connor and Nipa Patel

The aim of this paper is to present the rationale, a numerical example and a case study of the application of an algorithm to convert non‐calendar based preventive…

Abstract

Purpose

The aim of this paper is to present the rationale, a numerical example and a case study of the application of an algorithm to convert non‐calendar based preventive maintenance (PM) schedules into calendar‐time format for semiconductor manufacturing systems (SMS). The resulting calendar‐time PM schedules can be utilized as a baseline within a PM scheduling optimization process.

Design/methodology/approach

The algorithm utilizes estimations of work‐in‐process (WIP) and system parameters to estimate an equivalent calendar‐time schedule for PM schedules based on different units. A numerical example based on fictitious data illustrates the utilization of the conversion algorithm within a mixed PM scheduling scenario, including wafer, processing‐time and energy‐based PM tasks for multi‐chamber tools. In addition, a case study illustrates the accuracy of the algorithm by comparing estimated PM targets (i.e. due, warning and late dates) with historical data from a real semiconductor fabrication facility.

Findings

Results from the case study validated the conversion algorithm by showing accurate estimations of PM targets (i.e. due, warning and late dates). The accuracy of the algorithm depends, however, on good estimates for WIP levels within the planning horizon.

Originality/value

The conversion algorithm may be utilized not only in SMS but also in other industries that require the conversion of non‐calendar based PM schedules into calendar‐time format for PM optimization and operational purposes.

Details

Journal of Quality in Maintenance Engineering, vol. 13 no. 3
Type: Research Article
ISSN: 1355-2511

Keywords

Article
Publication date: 21 March 2019

Zhenhan Yao, Xiaoping Zheng, Han Yuan and Jinlong Feng

Based on the error analysis, the authors proposed a new kind of high accuracy boundary element method (BEM) (HABEM), and for the large-scale problems, the fast algorithm…

Abstract

Purpose

Based on the error analysis, the authors proposed a new kind of high accuracy boundary element method (BEM) (HABEM), and for the large-scale problems, the fast algorithm, such as adaptive cross approximation (ACA) with generalized minimal residual (GMRES) is introduced to develop the high performance BEM (HPBEM). It is found that for slender beams, the stress analysis using iterative solver GMRES will difficult to converge. For the analysis of slender beams and thin structures, to enhance the efficiency of GMRES solver becomes a key problem in the development of the HPBEM. The purpose of this paper is study on the preconditioning method to solve this convergence problem, and it is started from the 2D BE analysis of slender beams.

Design/methodology/approach

The conventional sparse approximate inverse (SAI) based on adjacent nodes is modified to that based on adjacent nodes along the boundary line. In addition, the authors proposed a dual node variable merging (DNVM) preprocessing for slender thin-plate beams. As benchmark problems, the pure bending of thin-plate beam and the local stress analysis (LSA) of real thin-plate cantilever beam are applied to verify the effect of these two preconditioning method.

Findings

For the LSA of real thin-plate cantilever beams, as GMRES (m) without preconditioning applied, it is difficult to converge provided the length to height ratio greater than 50. Even with the preconditioner SAI or DNVM, it is also difficult to obtain the converged results. For the slender real beams, the iteration of GMRES (m) with SAI or DNVM stopped at wrong deformation state, and the computation failed. By changing zero initial solution to the analytical displacement solution of conventional beam theory, GMRES (m) with SAI or DNVM will not be stopped at wrong deformation state, but the stress error is still difficult to converge. However, by GMRES (m) combined with both SAI and DNVM preconditioning, the computation efficiency enhanced significantly.

Originality/value

This paper presents two preconditioners: DNVM and a modified SAI based on adjacent nodes along the boundary line of slender thin-plate beam. In the LSA, by using GMRES (m) combined with both DNVM and SAI, the computation efficiency enhanced significantly. It provides a reference for the further development of the 3D HPBEM in the LSA of real beam, plate and shell structures.

Details

Engineering Computations, vol. 36 no. 8
Type: Research Article
ISSN: 0264-4401

Keywords

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