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Book part
Publication date: 5 October 2018

Long Chen and Wei Pan

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision…

Abstract

With numerous and ambiguous sets of information and often conflicting requirements, construction management is a complex process involving much uncertainty. Decision makers may be challenged with satisfying multiple criteria using vague information. Fuzzy multi-criteria decision-making (FMCDM) provides an innovative approach for addressing complex problems featuring diverse decision makers’ interests, conflicting objectives and numerous but uncertain bits of information. FMCDM has therefore been widely applied in construction management. With the increase in information complexity, extensions of fuzzy set (FS) theory have been generated and adopted to improve its capacity to address this complexity. Examples include hesitant FSs (HFSs), intuitionistic FSs (IFSs) and type-2 FSs (T2FSs). This chapter introduces commonly used FMCDM methods, examines their applications in construction management and discusses trends in future research and application. The chapter first introduces the MCDM process as well as FS theory and its three main extensions, namely, HFSs, IFSs and T2FSs. The chapter then explores the linkage between FS theory and its extensions and MCDM approaches. In total, 17 FMCDM methods are reviewed and two FMCDM methods (i.e. T2FS-TOPSIS and T2FS-PROMETHEE) are further improved based on the literature. These 19 FMCDM methods with their corresponding applications in construction management are discussed in a systematic manner. This review and development of FS theory and its extensions should help both researchers and practitioners better understand and handle information uncertainty in complex decision problems.

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Fuzzy Hybrid Computing in Construction Engineering and Management
Type: Book
ISBN: 978-1-78743-868-2

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Article
Publication date: 29 October 2019

Yanhong Chen, Yaobin Lu, Sumeet Gupta and Zhao Pan

Social shopping website (SSW) introduce the social side into the shopping process, thus making “window” shopping or browsing more interesting for customers. The purpose of…

Abstract

Purpose

Social shopping website (SSW) introduce the social side into the shopping process, thus making “window” shopping or browsing more interesting for customers. The purpose of this paper is to investigate customer online browsing experience and its antecedents (i.e. information quality and social interaction) and consequences (i.e. urge to buy impulsively and continuous browsing intention) in the context of SSW.

Design/methodology/approach

A survey questionnaire was distributed to visitors of online SSW to collect data, and partial least squares technology was used to test the research model.

Findings

The results of this study reveal that three types of web browsing, namely, utilitarian browsing, hedonic browsing and social browsing, take place in a SSW. The unique factors of SSW, namely, the quality of user generated contents and social interaction are critical for facilitating customers’ browsing experiences. Furthermore, the findings reveal that hedonic browsing experience is found to be the most salient factor influencing customers’ urge to buy impulsively and continuance intention.

Practical implications

The findings suggest that practitioners, such as designers and managers of SSW should give special attention to the benefits of browsing activity to convert web browsers into impulse purchasers and increase customers’ loyalty. Moreover, they should focus on improving the quality of user generated content and pay more attention to support and encourage social interaction to enhance browsing experiences on a SSW.

Originality/value

Existing studies about browsing behavior mostly focus on traditional online e-commerce website. This study represents the first step toward understanding browsing activity on SSW. Moreover, prior studies mainly focused on utilitarian and hedonic browsing experience; however, there is a lack of research on social browsing experience. The current study attempts to fill this research gap.

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Information Technology & People, vol. 33 no. 4
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 21 August 2020

Zhao Pan, Yaobin Lu, Sumeet Gupta and Qian Hu

The intense competitive and dynamic environment in mobile social-media market forces service providers to introduce incremental technological changes to achieve…

Abstract

Purpose

The intense competitive and dynamic environment in mobile social-media market forces service providers to introduce incremental technological changes to achieve sustainable competitive advantage. The purpose of this paper is to investigate what and how the user attitude to change influences members' behavioral support for incremental technological change in mobile social media service.

Design/methodology/approach

Using the tripartite model of attitude, this study examines the influence of the cognitive aspect (empowerment with change), affective aspect (arousal with change) and behavioral aspect (habit to change) of attitude toward change on members' behavioral support for incremental technological change. Drawing on the commitment to change theory, we assessed the underlying mechanism by which attitudes toward change influences behavioral support for incremental technological change through the two components of commitment to change (i.e. affective and normative commitment to change). We tested the model using structural equation modeling on the data collected from the popular mobile social media services in China.

Findings

Our results indicate that the effect of empowerment with change, arousal with change and habit to change varies with different dimensions of commitment to change and significant influence of commitment to change on members' behavioral support for incremental technological change.

Practical implications

The findings of this study contribute to better insights for services providers for implementing incremental technological change strategies.

Originality/value

This study contributes to the theory of incremental technological changes by empirical examination of the impacts of users' attitudes toward change on members' behavioral support for incremental technological change in mobile social media. The paper extends the commitment to change theory with the discussion of the mediating effect of commitment to change in the continuing members' behavioral support for incremental technological change in mobile social media.

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Article
Publication date: 19 June 2017

Jiajia Chen, Wuhua Jiang, Pan Zhao and Jinfang Hu

Navigating in off-road environments is a huge challenge for autonomous vehicles, due to the safety requirement, the effects of noises and non-holonomic constraints of…

Abstract

Purpose

Navigating in off-road environments is a huge challenge for autonomous vehicles, due to the safety requirement, the effects of noises and non-holonomic constraints of vehicle. This paper aims to describe a path planning method based on fuzzy support vector machine (FSVM) and general regression neural network (GRNN) that is able to provide a solution path for the autonomous vehicle navigating in the off-road environments.

Design/methodology/approach

The authors decompose the path planning problem into three steps. In the first step, A* algorithm is applied to obtain the positive and negative samples. In the second step, the authors use a learning approach based on radial basis function kernel FSVM to maximize the safety margin for driving, and the fuzzy membership is designed based on GRNN which can help to resolve the problem that the traditional path planning method is easily influenced by noises or outliers. In the third step, the Bezier interpolation algorithm is used to smooth the path. The simulations are designed to verify the parameters of the path planning algorithm.

Findings

The method is implemented on autonomous vehicle and verified against many outdoor scenes. Road test indicates that the proposed method can produce a flexible, smooth and safe path with good anti-jamming performance.

Originality/value

This paper applied a new path planning method based on GRNN-FSVM for autonomous vehicle navigating in off-road environments. GRNN-FSVM can reduce the effects of outliers and maximize the safety margin for driving, the generated path is smooth and safe, while satisfying the constraint of vehicle kinematic.

Details

Industrial Robot: An International Journal, vol. 44 no. 4
Type: Research Article
ISSN: 0143-991X

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Book part
Publication date: 5 October 2018

Nima Gerami Seresht, Rodolfo Lourenzutti, Ahmad Salah and Aminah Robinson Fayek

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes…

Abstract

Due to the increasing size and complexity of construction projects, construction engineering and management involves the coordination of many complex and dynamic processes and relies on the analysis of uncertain, imprecise and incomplete information, including subjective and linguistically expressed information. Various modelling and computing techniques have been used by construction researchers and applied to practical construction problems in order to overcome these challenges, including fuzzy hybrid techniques. Fuzzy hybrid techniques combine the human-like reasoning capabilities of fuzzy logic with the capabilities of other techniques, such as optimization, machine learning, multi-criteria decision-making (MCDM) and simulation, to capitalise on their strengths and overcome their limitations. Based on a review of construction literature, this chapter identifies the most common types of fuzzy hybrid techniques applied to construction problems and reviews selected papers in each category of fuzzy hybrid technique to illustrate their capabilities for addressing construction challenges. Finally, this chapter discusses areas for future development of fuzzy hybrid techniques that will increase their capabilities for solving construction-related problems. The contributions of this chapter are threefold: (1) the limitations of some standard techniques for solving construction problems are discussed, as are the ways that fuzzy methods have been hybridized with these techniques in order to address their limitations; (2) a review of existing applications of fuzzy hybrid techniques in construction is provided in order to illustrate the capabilities of these techniques for solving a variety of construction problems and (3) potential improvements in each category of fuzzy hybrid technique in construction are provided, as areas for future research.

Details

Fuzzy Hybrid Computing in Construction Engineering and Management
Type: Book
ISBN: 978-1-78743-868-2

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Article
Publication date: 16 January 2017

Yayue Pan and Chintan Dagli

In a typical additive manufacturing (AM) system, it is critical to make a trade-off between the resolution and the build area for applications in which varied dimensions…

Abstract

Purpose

In a typical additive manufacturing (AM) system, it is critical to make a trade-off between the resolution and the build area for applications in which varied dimensions, feature sizes and accuracies are desired. Conventional solutions to this challenge are based on curing of multiple areas with a single high resolution and stitching them to form a large layer. However, because of the lack of the capability in adjusting resolution dynamically, such stitching approaches will elongate the build time greatly in some cases. To address the challenge without sacrificing the build speed, this paper aims to design and develop a novel AM system with dynamic resolution control capability.

Design/methodology/approach

A laser projector is adopted in a vat photopolymerization system. The laser projection system has unique properties, including focus-free operation and capability to produce dynamic mask image irrespective of any surface (flat or curved). By translating the projector along the building direction, the pixel size can be adjusted dynamically within a certain range. Consequently, the build area and resolution could be tuned dynamically in the hardware testbed. Besides, a layered depth image (LDI) algorithm is used to construct mask images with varied resolutions. The curing characteristics under various resolution settings are quantified, and accordingly, a process planning approach for fabricating models with dynamically controlled resolutions is developed.

Findings

A laser projection-based stereolithography (SL) system could tune resolution dynamically during the building process. Such a dynamic resolution control approach completely addresses the build size-resolution dilemma in vat photopolymerization AM processes without sacrificing the build speed. Through fabricating layers with changing resolutions instead of a single resolution, various build areas and feature sizes could be produced precisely, with optimized build speed.

Originality/value

A focus-free laser projector is investigated and adopted in a SL system for the first time. The material curing characteristics with changing focal length and therefore changing light intensities are explored. The related digital mask image planning and process control methods are developed. In digital mask image planning, it is the first attempt to adopt the LDI algorithm, to identify proper resolution settings for fabricating a sliced layer precisely and quickly. In the process of characterizing material curing properties, parametric dependence of curing properties on focal length has been unveiled. This research contributes to the advancement of AM by addressing the historical dilemma of the resolution and build size, and optimizing the build speed meanwhile.

Details

Rapid Prototyping Journal, vol. 23 no. 1
Type: Research Article
ISSN: 1355-2546

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Article
Publication date: 22 September 2021

Xiaojing Zhao and Wei Pan

The wide uptake of green building is hindered by factors such as limited market demand and high up-front cost despite substantial policy incentives. Successful business…

Abstract

Purpose

The wide uptake of green building is hindered by factors such as limited market demand and high up-front cost despite substantial policy incentives. Successful business models (BMs) help facilitate the diffusion of sustainable innovation and have attracted increasing attention. However, little attention has been paid to examining the adoption of green building from the perspective of BM. This paper aims to identify the characteristics of BM that companies adopted to deliver green building projects and examine the evolution path of BM for green buildings.

Design/methodology/approach

A total of 744 interdisciplinary bibliographic records related to BM and green buildings from the Web of Science Core Collection database have been identified from the Web of Science Core Collection and analyzed through co-author analysis, co-word analysis and co-citation analysis.

Findings

BM research mainly focuses on five subjects, namely, environmental science, engineering, business, economics, science and technology. Keywords “strategy”, “capability”, “perspective” and “design” receive the highest centrality index, which suggests that the strategy design and corporate capability are indispensable elements when designing or innovating a company's BM. “BM canvas” and “resource based view” received the burst citations in the recent decade. Twelve research clusters are identified, including performance evaluation, waste management, energy efficiency, BM, project business, professional capital, leadership and product innovation. These topics highlight three evolution direction for green building projects, i.e. life cycle-oriented value proposition, collaborative value delivery and innovative cost and revenue structure.

Originality/value

The findings contribute to a systematic understanding of the underlying mechanisms of BM for green buildings and illuminate the development trend of business strategies for sustainability.

Details

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

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Book part
Publication date: 23 September 2019

Yi-Ming Wei, Qiao-Mei Liang, Gang Wu and Hua Liao

Abstract

Details

Energy Economics
Type: Book
ISBN: 978-1-83867-294-2

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Article
Publication date: 11 May 2018

Arshad Ali Javed, Wei Pan, Le Chen and Wenting Zhan

The purpose of this paper is to investigate the complex interdependence of the factors in driving or hindering construction productivity at the industry, project and…

Abstract

Purpose

The purpose of this paper is to investigate the complex interdependence of the factors in driving or hindering construction productivity at the industry, project and activity levels in a systemic manner.

Design/methodology/approach

A mixed-methods design, which combines a critical literature review, an interview-based survey with 32 industry experts and five focus group meetings participated in by 109 representatives of a wide range of industry stakeholder groups, was employed to identify the drivers for and constraints on construction productivity enhancement in Hong Kong and explore the interrelated insights into the drivers and constraints.

Findings

The study conceptualised and validated a systemic framework for examining construction industry productivity, and developed three causal loop diagrams (CLDs) for illustrating the dynamic structures that underpin the complex systems of the drivers and constraints.

Research limitations/implications

Although the scope of the study was limited to Hong Kong, the results could be interpreted for critical learning in other urban contexts.

Practical implications

The systemic perspective of construction productivity and the CLDs of the drivers and constraints support the systems thinking of industry stakeholders in the formulation of holistic strategies for long-term construction industry productivity enhancement.

Originality/value

The study conceptualises construction productivity from a systemic perspective and provides empirically supported CLDs to facilitate future investigations into the complex system of construction productivity.

Details

Built Environment Project and Asset Management, vol. 8 no. 3
Type: Research Article
ISSN: 2044-124X

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Article
Publication date: 2 August 2019

Bon-Gang Hwang, Xiaojing Zhao and Jane Lim

Green building is a promising approach to improve resource efficiency and achieving sustainable development. The success of green construction projects is closely…

Abstract

Purpose

Green building is a promising approach to improve resource efficiency and achieving sustainable development. The success of green construction projects is closely associated with the performance of project managers (PMs), while job satisfaction plays a major role in the performance of PMs. However, the emphasis placed on the job satisfaction of PMs in green construction projects remains minimal. The purpose of this paper is to identify the relationships between the job satisfaction of PMs and its key influencing factors in green construction projects, and to propose feasible strategies to improve the job satisfaction of PMs.

Design/methodology/approach

A questionnaire survey is conducted, data collected from 105 construction PMs are analysed using structural equation modelling. Interviews with five industry experts are further conducted to substantiate the results.

Findings

The results identified four major components of job satisfaction, namely, “job content”, “resource adequacy”, “work context” and “the personality and competence of jobholders”. The analysis also found that “technical requirement” and “split incentive” condition of green construction projects, “the expertise and awareness of PMs” and “demand and support from stakeholders” has significant impacts on PMs’ job satisfaction. Furthermore, this study developed eight strategies to improve PMs’ job satisfaction, including “increase recognition opportunities for PMs”, “government incentives and financial support” and “introductory and training courses on green construction legislation and processes”.

Originality/value

The findings assist construction companies in formulating measures to improve the job satisfaction and performance of PMs in green construction projects.

Details

Engineering, Construction and Architectural Management, vol. 27 no. 1
Type: Research Article
ISSN: 0969-9988

Keywords

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