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Article

Jing Du, Qi Wang and Qian Shi

Capital project delivery, such as the delivery of transportation networks and industrial facilities, often suffers losses due to overly aggressive planning. Planners often…

Abstract

Purpose

Capital project delivery, such as the delivery of transportation networks and industrial facilities, often suffers losses due to overly aggressive planning. Planners often are overly optimistic about the chance of success while underestimating risks. The purpose of this paper is to examine the hypothesis that these biases are from the difficulties most decision makers face when interpreting probabilistic information.

Design/methodology/approach

Three behavioral experiments were conducted to test the theoretical fitness of the paradigms proposed by the description–experience gap literature, namely, the sampling errors effect, the recency effect and statistical information format. College students were recruited to participate in a series of estimating tasks. And their estimating results were compared given different levels of information completeness.

Findings

It was found that the existing paradigms could predict risk decision making in the risk-averse estimating scenarios where test subjects were required to give a relatively conservative estimate, but they seemed to be less effective in predicting decisions in the risk-seeking estimating scenario, where test subjects were asked to give a relatively aggressive estimate.

Originality/value

Based on these findings, an integrative model is proposed to explain the observations pertaining to aggressive planning in capital projects. Two dimensions are deemed to be relevant: including risk-taking intentions, and an information uncertainty continuum that ranges from an implicit experience-based information representation to an explicit description-based information representation.

Details

Engineering, Construction and Architectural Management, vol. 26 no. 6
Type: Research Article
ISSN: 0969-9988

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Article

Jing Xu, Rémy Houssin, Emmanuel Caillaud and Mickaël Gardoni

The purpose of this research is to explore the mechanisms of knowledge management (KM) for innovation and provide an approach for enterprises to leverage KM activities

Abstract

Purpose

The purpose of this research is to explore the mechanisms of knowledge management (KM) for innovation and provide an approach for enterprises to leverage KM activities into continuous innovation.

Design/methodology/approach

By reviewing the literature from multidisciplinary fields, the concepts of knowledge, KM and innovation are investigated. The physical, human and technological perspectives of KM are distinguished with the identification of two core activities for innovation: knowledge creation and knowledge usage. Then an essential requirement for continuous innovation – an internalization phase – is defined. The systems thinking and human‐centered perspectives are adopted for providing a comprehensive understanding about the mechanisms of KM for innovation.

Findings

A networking process of continuous innovation based on KM is proposed by incorporating the phase of internalization. Three sources of organizational knowledge assets in innovation are identified. Then, based on the two core activities of innovation, a meta‐model and a macro process of KM are proposed to model the mechanisms of KM for continuous innovation. Then, in order to operationalize the KM mechanisms, a hierarchical model with four layers is constructed by integrating three sources of knowledge assets, the meta‐model and the macro process into the process of continuous innovation.

Practical implications

According to the lessons learned about KM practices in previous research, the three perspectives of KM should collaborate with one another for successful implementation of KM projects for innovation; the networking process of innovation provides a new way to integrate KM process in innovation; the hierarchical model provides a suitable architecture to implement systems of KM for innovation.

Originality/value

The meta‐model and macro process of KM explain how the next generation of KM can help the value creation and support the continuous innovation from the systems thinking perspective. The hierarchical model illustrates the complicated knowledge dynamics in the process of continuous innovation.

Details

Journal of Knowledge Management, vol. 14 no. 4
Type: Research Article
ISSN: 1367-3270

Keywords

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Article

Guifei Wang, Ming Cong, Weiliang Xu, Haiying Wen and Jing Du

This paper aims to describe how a novel biomimetic chewing robot was designed, including its motion, force, control and mechanical designs, and shows some initial…

Abstract

Purpose

This paper aims to describe how a novel biomimetic chewing robot was designed, including its motion, force, control and mechanical designs, and shows some initial experiments about motion tracking.

Design/methodology/approach

According to the biomechanics, the authors modeled the muscles of mastication in six linkages and the temporomandibular joint in higher kinematic pairs of point contact. As a result, the chewing robot was represented in a redundantly actuated parallel mechanism. With reference to literature data on the biological system, the authors specified the motion and force requirements for the robot via inverse kinematics and force analysis. A prototype of the robot was built, which has a position control system and is driven by six linear actuators. Experiments were conducted to show the capability of the robot in reproducing the human chewing motion.

Findings

A chewing robot was successfully modeled and developed, which is able to simulate the motion of human mastication in a biologically faithful way.

Practical implications

The chewing robot as a scientific instrument can be used to test dental materials and evaluate food textural properties of chewing.

Originality/value

Two higher kinematic pairs of point contact are proposed to simulate the two temporomandibular joints. The mechanism of the novel chewing robot is the first of this kind, which has two higher kinematic pairs of point contact and is a redundantly actuated spatial parallel mechanism.

Details

Industrial Robot: An International Journal, vol. 42 no. 2
Type: Research Article
ISSN: 0143-991X

Keywords

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Abstract

Details

Advances in Pacific Basin Business Economics and Finance
Type: Book
ISBN: 978-1-78743-409-7

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Abstract

Details

Energy Economics
Type: Book
ISBN: 978-1-78756-780-1

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Book part

Jingjing Yang and Hao-Chang Sung

We analyze the economic consequence of government intervention on the incidence of accounting fraud and audit fees of both Big 4 and local big auditors on Chinese audit…

Abstract

We analyze the economic consequence of government intervention on the incidence of accounting fraud and audit fees of both Big 4 and local big auditors on Chinese audit market in the period 2006–2013. In 2009, Chinese government issued favorable polices to local big auditors and required certain Chinese companies to give priority to these auditors. We find that market share of Big 4 auditors is quite stable before and after government intervention, but market share of local big auditors increases at the cost of local small auditors after intervention. Although audit fee premiums of both local big and Big 4 auditors have increased after intervention, the positive effect of local big auditors on audit fee premiums has significantly decreased. Further, both Big 4 and local big auditors are not likely to reduce the incidence of accounting fraud in pre- and post-intervention period. Our results suggest that Chinese government support to local auditors does not significantly enhance these auditors’ competitiveness in terms of audit fee and audit quality.

Details

Advances in Pacific Basin Business Economics and Finance
Type: Book
ISBN: 978-1-78743-409-7

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Article

Jiaqi Jia and Haibin Duan

The purpose of this paper is to propose a novel target automatic recognition method for unmanned aerial vehicle (UAV), which is based on backpropagation – artificial…

Abstract

Purpose

The purpose of this paper is to propose a novel target automatic recognition method for unmanned aerial vehicle (UAV), which is based on backpropagation – artificial neural network (BP-ANN) algorithm, with the objective of optimizing the structure of backpropagation network, to increase the efficiency and decrease the recognition time. A hardware-in-the-loop system for UAV target automatic recognition is also developed.

Design/methodology/approach

The hybrid model of BP-ANN structure is established for aircraft automatic target recognition. This proposed method identifies controller parameters and reduces the computational complexity. Approaching speed of the network is faster and recognition accuracy is higher. This kind of network combines or better fuses the advantages of backpropagation artificial neural algorithm and Hu moment. with advantages of two networks and improves the speed and accuracy of identification. Finally, a hardware-in-the-loop system for UAV target automatic recognition is also developed.

Findings

The double hidden level backpropagation artificial neural can easily increase the speed of recognition process and get a good performance for recognition accuracy.

Research limitations/implications

The proposed backpropagation artificial neural algorithm can be ANN easily applied to practice and can help the design of the aircraft automatic target recognition system. The standard backpropagation algorithm has some obvious drawbacks, namely, converging slowly and falling into the local minimum point easily. In this paper, an improved algorithm based on the standard backpropagation algorithm is constructed to make the aircraft target recognition more practicable.

Originality/value

A double hidden levels backpropagation artificial neural algorithm is presented for automatic target recognition system of UAV.

Details

Aircraft Engineering and Aerospace Technology, vol. 89 no. 1
Type: Research Article
ISSN: 1748-8842

Keywords

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Article

E.M.A.C. Ekanayake, Geoffrey Qiping Shen, Mohan Kumaraswamy and Emmanuel Kingsford Owusu

Industrialized construction (IC) has been recognized as a game-changing approach in Hong Kong (HK). However, the increasing risks of disruptions in IC supply chains (SCs…

Abstract

Purpose

Industrialized construction (IC) has been recognized as a game-changing approach in Hong Kong (HK). However, the increasing risks of disruptions in IC supply chains (SCs) raise SC vulnerability levels, prompting attention to developing supply chain resilience (SCR). Since SCR is only attainable through overcoming critical supply chain vulnerabilities (CSCV) with enhanced SC capabilities, this study first aimed to determine the most CSCV of ICSCs by addressing this current research gap and practical need.

Design/methodology/approach

Drawing on SCV factors identified from a precursor literature review, an empirical study of IC in HK was conducted using a questionnaire survey and interviews with industry experts. Focussed significance analysis of the data collected through questionnaire survey enabled the selection of 26 CSCV as appropriate to IC. Next, factor analysis was conducted, enabling the grouping of these CSCV under five components. The results were verified and reinforced by interview findings.

Findings

The results revealed 26 CSCV pertinent to resilient ICSCs in HK with five underlying components: economic, technological, procedural, organizational and production-based vulnerabilities. Loss of skilled labour is the most critical vulnerability, whereas organizational SCV is the most critical component identified.

Originality/value

Findings of this study would motivate IC project professionals to appreciate and address the CSCV in the context of five components and thereby develop adequate specific capabilities to successfully withstand these CSCV. This should trigger future studies to map CSCV with appropriate capabilities in developing an envisaged powerful assessment model for evaluating the SCR in IC in HK.

Details

Engineering, Construction and Architectural Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0969-9988

Keywords

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Article

Jing Wen and Masoud Gheisari

The architecture, engineering and construction (AEC) industry exists in a dynamic environment and requires several stakeholders to communicate regularly. However, evidence…

Abstract

Purpose

The architecture, engineering and construction (AEC) industry exists in a dynamic environment and requires several stakeholders to communicate regularly. However, evidence indicates current communication practices fail to meet the requirements of increasingly complex projects. With the advent of Industry 4.0, a trend is noted to create a digital communication environment between stakeholders. Identified as a central technology in Industry 4.0, virtual reality (VR) has the potential to supplement current communication and facilitate the digitization of the AEC industry. This paper aims to explore how VR has been applied and future research directions for communication purpose.

Design/methodology/approach

This research follows a systematic literature assessment methodology to summarize the results of 41 research articles in the last 15 years and outlines the applications of VR in facilitating communication in the AEC domain.

Findings

Relevant VR applications are mainly found in building inspection, facility management, safety training, construction education and design and review. Communication tools and affordance are provided or built in several forms: text-based tools, voice chat tool, visual sharing affordance and avatars. Objective and subjective communication assessments are observed from those publications.

Originality/value

This review contributes to identifying the recent employment areas and future research directions of VR to facilitate communication in the AEC domain. The outcome can be a practical resource to guide both industry professionals and researchers to recognize the potentials of VR and will ultimately facilitate the creation of digital construction environments.

Details

Construction Innovation , vol. 20 no. 3
Type: Research Article
ISSN: 1471-4175

Keywords

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Article

Jing Zhang and Mingfei Du

Value appropriation and value creation are two sides of the same coin. How B2B seller’s value appropriation impacts customer relationship performance still remains an…

Abstract

Purpose

Value appropriation and value creation are two sides of the same coin. How B2B seller’s value appropriation impacts customer relationship performance still remains an under-researched topic. This paper aims to probe into this question in the context of Chinese B2B markets.

Design/methodology/approach

This study identifies two kinds of value appropriation, namely, competitive and non-competitive and then examines their impacts upon customer relationship performance, as well as the moderating roles of distributive fairness and procedural fairness, based on questionnaire survey among 273 Chinese B2B firms.

Findings

The authors find that seller’s competitive value appropriation has negative impact upon customer relationship performance, and this link is positively moderated by customer-perceived distributive fairness. Besides, non-competitive value appropriation by the seller has significant and positive impact upon customer relationship performance, and this link is positively moderated by customer-perceived procedural fairness.

Originality/value

The paper contributes greatly to literature of value management and industrial buyer–seller relationship. Managerial implications are provided for B2B companies operating in Chinese market to tackle with the tradeoff between appropriating sufficient value and retaining harmonious relationship with customers.

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