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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

Keywords

Book part
Publication date: 5 October 2018

Mohammad Raoufi, Nima Gerami Seresht, Nasir Bedewi Siraj and Aminah Robinson Fayek

Several different simulation techniques, such as discrete event simulation (DES), system dynamics (SD) and agent-based modelling (ABM), have been used to model complex…

Abstract

Several different simulation techniques, such as discrete event simulation (DES), system dynamics (SD) and agent-based modelling (ABM), have been used to model complex construction systems such as construction processes and project management practices; however, these techniques do not take into account the subjective uncertainties that exist in many construction systems. Integrating fuzzy logic with simulation techniques enhances the capabilities of those simulation techniques, and the resultant fuzzy simulation models are then capable of handling subjective uncertainties in complex construction systems. The objectives of this chapter are to show how to integrate fuzzy logic and simulation techniques in construction modelling and to provide methodologies for the development of fuzzy simulation models in construction. In this chapter, an overview of simulation techniques that are used in construction is presented. Next, the advancements that have been made by integrating fuzzy logic and simulation techniques are introduced. Methodologies for developing fuzzy simulation models are then proposed. Finally, the process of selecting a suitable simulation technique for each particular aspect of construction modelling is discussed.

Details

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

Keywords

Open Access
Article
Publication date: 17 December 2019

Yingjie Yang, Sifeng Liu and Naiming Xie

The purpose of this paper is to propose a framework for data analytics where everything is grey in nature and the associated uncertainty is considered as an essential part…

Abstract

Purpose

The purpose of this paper is to propose a framework for data analytics where everything is grey in nature and the associated uncertainty is considered as an essential part in data collection, profiling, imputation, analysis and decision making.

Design/methodology/approach

A comparative study is conducted between the available uncertainty models and the feasibility of grey systems is highlighted. Furthermore, a general framework for the integration of grey systems and grey sets into data analytics is proposed.

Findings

Grey systems and grey sets are useful not only for small data, but also big data as well. It is complementary to other models and can play a significant role in data analytics.

Research limitations/implications

The proposed framework brings a radical change in data analytics. It may bring a fundamental change in our way to deal with uncertainties.

Practical implications

The proposed model has the potential to avoid the mistake from a misleading data imputation.

Social implications

The proposed model takes the philosophy of grey systems in recognising the limitation of our knowledge which has significant implications in our way to deal with our social life and relations.

Originality/value

This is the first time that the whole data analytics is considered from the point of view of grey systems.

Details

Marine Economics and Management, vol. 2 no. 2
Type: Research Article
ISSN: 2516-158X

Keywords

Article
Publication date: 6 April 2012

Chetan Chawla, Mzamo Mangaliso, Bradford Knipes and Jeff Gauthier

The purpose of this paper is to explain the antecedents of environmental uncertainty in management using a historical framework. The goal of developing passion and…

1071

Abstract

Purpose

The purpose of this paper is to explain the antecedents of environmental uncertainty in management using a historical framework. The goal of developing passion and compassion in management practice and research cannot be achieved unless a better understanding is developed of the main challenge facing researchers and practitioners – uncertainty.

Design/methodology/approach

The antecedents of uncertainty in management are explored using a historical framework. This enables the generation of insights into the nature and use of uncertainty over the decades.

Findings

The importance of environmental uncertainty is escalating. The paper's historical, philosophical and critical view helps scholars explain and interpret uncertainty within their own research and formulate new research questions.

Originality/value

Understanding the epistemological assumptions underlying paradigms will better enable researchers and practitioners to face a future filled with uncertainty and equivocality.

Details

Journal of Management History, vol. 18 no. 2
Type: Research Article
ISSN: 1751-1348

Keywords

Article
Publication date: 1 March 2000

Guido A. Krickx

This paper shows that uncertainty is a multidimensional theoretical concept, which has empirical implications for the relationship with vertical integration. In a survey…

Abstract

This paper shows that uncertainty is a multidimensional theoretical concept, which has empirical implications for the relationship with vertical integration. In a survey of empirical work that tests the relation between uncertainty and vertical integration, this paper demonstrates that performance ambiguity and general measures of uncertainty are positively related with vertical integration, technological uncertainty is negatively related, while market uncertainty and complexity are not systematically related to vertical integration.

Details

The International Journal of Organizational Analysis, vol. 8 no. 3
Type: Research Article
ISSN: 1055-3185

Article
Publication date: 14 October 2014

John Ahmet Erkoyuncu, Rajkumar Roy, Essam Shehab and Elmar Kutsch

In the light of challenges experienced in cost estimation at the bidding stage of complex engineering services in the defence industry (e.g. contracting for availability)…

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Abstract

Purpose

In the light of challenges experienced in cost estimation at the bidding stage of complex engineering services in the defence industry (e.g. contracting for availability), the purpose of this paper is to present a framework to manage the influence of uncertainty on cost estimates.

Design/methodology/approach

The research applied the Soft Systems Methodology and benefitted from interaction with four major organisations in the defence industry through document sharing, semi-structured interviews, workshops, and case studies.

Findings

The framework is composed of seven stages to plan, identify, prioritise, classify, and manage cost uncertainties. Through the validation of three case studies some of the key benefits of the framework were realised in project planning, uncertainty visualisation, and capability management.

Research limitations/implications

The research has been applied in the defence sector in the UK and focuses on the bidding stage. Further research needs to be applied to confirm that the findings are applicable across industries and across the life cycle.

Originality/value

The paper builds on the theory behind risk and uncertainty management and proposes an innovative framework that avoids the assumption of “perfect” knowledge by raising questions about the validity of the input data.

Article
Publication date: 9 August 2022

Lisana and Yonathan Dri Handarkho

This research aims to investigate the significant influence of social factors based on the social impact theory against service quality factors based on uncertainty

Abstract

Purpose

This research aims to investigate the significant influence of social factors based on the social impact theory against service quality factors based on uncertainty avoidance dimension in determining user perception of trust toward mobile payment (MP) usage.

Design/methodology/approach

The theoretical model used was analyzed by adopting the structural equation modeling technique. Questionnaires were delivered to Indonesian customers as the target respondents using Google Forms, and finally, 659 valid responses were received.

Findings

Based on the direct effect analysis, service quality had more influence on the user trust perception than the social aspect. More specifically, Perceived Security was the most influential in increasing the level of user trust followed by Perceived Usefulness and Network Externalities.

Originality/value

This research presents a comprehensive investigation that applied a different perspective of the way social and service quality aspects develop user trust toward MP usage.

Details

Asia Pacific Journal of Marketing and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-5855

Keywords

Article
Publication date: 18 March 2022

Miriam McGowan, Louise May Hassan and Edward Shiu

Past research argues that identity-linking messages must use established descriptors of the social group (i.e. prototypical identity appeals) to be effective. The authors…

Abstract

Purpose

Past research argues that identity-linking messages must use established descriptors of the social group (i.e. prototypical identity appeals) to be effective. The authors show that less established descriptors (i.e. identity-linking messages low in prototypicality) can be optimal for an important customer segment, namely, for those that affectively identify with the social group. This is because of the distinct self-motives underlying the cognitive and affective social identity dimensions.

Design/methodology/approach

A pilot and two experimental studies were conducted, using gender and nationality as the target identities.

Findings

Consumers feel more hopeful and have higher purchase intention for products advertised using identity depictions that fit with their predominant (uncertainty-reduction or self-enhancement) self-motive. Consumers predominantly high in affective/cognitive social identity prefer identity-linking messages that are low/high in prototypicality. An abstract mindset reverses these effects by encouraging a similarity focus.

Research limitations/implications

Future work should identify potential boundary conditions of the findings. Further, all studies use ascribed social groups. Future work should explore whether consumers relate differently to different social group, such as achieved groups, non-human groups or aspirational groups.

Practical implications

Adverts using established descriptors of a brand’s target social group may no longer fit the brand’s positioning. Understanding when and when not to use less established group descriptors to market brands is important for practitioners.

Originality/value

To the best of the authors’ knowledge, this is the first research to explore the conditions under which priming consumers’ identity using less/more established (i.e. low/high in prototypicality) descriptors has a beneficial, or detrimental, effect on consumers’ purchase intention. In understanding these effects, the authors draw on consumers’ self-motives underlying cognitive and affective identification, a distinction not yet made in the identity-linking communications literature. The authors also explore the mediating role of hope – a central motivating emotion – in identity marketing.

Book part
Publication date: 12 July 2011

Prithviraj Chattopadhyay, Elizabeth George and Carmen Kaman Ng

In this chapter, we review relational demography literature underpinned by the similarity–attraction paradigm and status characteristics and social identity theories. We…

Abstract

In this chapter, we review relational demography literature underpinned by the similarity–attraction paradigm and status characteristics and social identity theories. We then develop an uncertainty reduction model of relational demography, which describes a two-stage process of uncertainty emergence and reduction in a workgroup setting. The first stage depicts how structural features of the workgroup (workgroup composition) and occupation (the legitimacy of its status hierarchy) induce two forms of uncertainty: uncertainty about group norms and uncertainty about instrumental outcomes. The second part of the model illustrates employees' choice of uncertainty reduction strategies, depending on the type of uncertainty they experience, and the status of their demographic categories. Implications for theory and practice are discussed.

Details

Research in Personnel and Human Resources Management
Type: Book
ISBN: 978-0-85724-554-0

Article
Publication date: 13 August 2018

Kangkang Yu, Jack Cadeaux, Nanfeng Luo, Cheng Qian and Zhenghao Chen

The purpose of this paper is to understand how the consistency between objective and perceived environmental uncertainty might affect supply chain flexibilities that cope…

1029

Abstract

Purpose

The purpose of this paper is to understand how the consistency between objective and perceived environmental uncertainty might affect supply chain flexibilities that cope with supply chain risk.

Design/methodology/approach

This study adopted a case study of comparative four companies in order to obtain an in-depth knowledge of the environmental conditions under which the companies implement different types of supply chain risk management (SCRM) strategies: logistics flexibility and relationship flexibility.

Findings

The case analysis not only distinguished the different effects of objective and perceived environmental uncertainty on supply chain flexibility, but also established the propositions about the effects of the consistency between objective and perceived environmental uncertainty on logistics flexibility and relationship flexibility in SCRM.

Originality/value

In principle, supply chain flexibility aims to cope with complex and turbulent environments. Yet, empirical findings about the effects of environmental uncertainty on supply chain flexibility are inconclusive. This study addressed this question by differentiating between objective and perceived environmental uncertainty as well as between logistics and relationship supply chain flexibilities.

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