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1 – 10 of 14
Article
Publication date: 6 September 2011

Yasser Ebrahimy, Simaan M. AbouRizk, Siri Fernando and Yasser Mohamed

The purpose of this paper is to develop a simulation model capable of capturing the complex variables impacting the productivity of tunneling construction projects.

2025

Abstract

Purpose

The purpose of this paper is to develop a simulation model capable of capturing the complex variables impacting the productivity of tunneling construction projects.

Design/methodology/approach

Simulation modeling is used to construct high‐level models of construction supply networks in order to perform quantitative analysis, enabling planners to work out the embedded complexities of the system.

Findings

This study presents a detailed simulation model of a real life tunnel construction project along with its supply chain of liner segments. Using this detailed model, a sensitivity analysis for the tunneling project shows the impact of chosen variables on the duration of a tunneling project; these results are used to verify the importance of considering the whole supply chain of a construction project in the planning stage.

Practical implications

Effective quality control, consideration of the shortage of storage space, and anticipation of required lead time when placing the first order to achieve the full storage capacity of liners before the start of a project are some practices that can be employed by construction organizations to address supply chain issues for tunneling projects.

Originality/value

Research into quantifying the benefits of implementing supply chain management (SCM) is very limited: the literature for the construction industry generally discusses how SCM concepts can be adopted, or what problems and challenges inhibit such adoption without analyzing and quantifying the effects of these techniques on an actual construction project.

Details

Engineering, Construction and Architectural Management, vol. 18 no. 5
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 14 December 2021

SeyedReza RazaviAlavi and Simaan AbouRizk

Integrating construction and site layout planning in mechanized tunnel infrastructure projects is essential due to the mutual impacts of construction planning and site…

Abstract

Purpose

Integrating construction and site layout planning in mechanized tunnel infrastructure projects is essential due to the mutual impacts of construction planning and site layout decisions. Simulation can incorporate site layout planning and construction planning of tunneling projects in a unified environment. However, simulation adoption by industry practitioners has remained relatively limited due to the special skills required for building and using simulation models. Therefore, this paper aims to create a simple-to-use simulation tool that supports site layout and construction operation planning of tunneling projects. This tool intends to promote the simulation application in site layout planning.

Design/methodology/approach

The current paper proposes simulation as a decision support tool (DST) to provide an integrated environment for modeling tunnel construction operations, site layout and capturing the mutual impacts. A special purpose simulation (SPS) tool was customized and developed for typical mechanized tunneling projects, by tunnel boring machines, to facilitate building the model and allow access to users with limited simulation knowledge.

Findings

The results show that the developed SPS tool is of great assistance to construction industry practitioners to analyze a variety of site layout and construction plan scenarios and make informed decisions based on its comprehensive and intuitive outputs.

Originality/value

The main contribution of this research is to promote simulation application in site layout planning of tunneling projects through the development of a simple-to-use tool, which has sufficient details for site layout planning and constraints. The developed DST enables planners to make decisions simultaneously on the site layout, other construction planning variables and identify the most efficient plan.

Details

Journal of Engineering, Design and Technology , vol. 20 no. 4
Type: Research Article
ISSN: 1726-0531

Keywords

Open Access
Article
Publication date: 28 January 2020

Richard Haigh, Maheshika Menike Sakalasuriya, Dilanthi Amaratunga, Senaka Basnayake, Siri Hettige, Sarath Premalal and Ananda Jayasinghe Arachchi

The purpose of this paper is to deliver a detailed analysis of the functioning of upstream–downstream interface process of the tsunami early warning and mitigation system…

1954

Abstract

Purpose

The purpose of this paper is to deliver a detailed analysis of the functioning of upstream–downstream interface process of the tsunami early warning and mitigation system in Sri Lanka. It also gives an understanding of the social, administrative, political and cultural complexities attached to the operation of interface mechanism, and introduces an analytical framework highlighting the significant dynamics of the interface of tsunami early warning system in Sri Lanka.

Design/methodology/approach

Through the initial literature review, a conceptual framework was developed, highlighting the criteria against which the interface process can be assessed. This framework was used as the basis for developing data collection tools, namely, documentary analysis, semi-structured interviews and observations that focused on the key stakeholder institutions in Sri Lanka. Thematic analysis was used to analyze the data according to the conceptual framework, and an improved and detailed framework was developed deriving from the findings.

Findings

The manner in which the interface mechanism operates in Sri Lanka’s tsunami early warning system is discussed, providing a detailed understanding of the decision-making structures; key actors; standardisation; technical and human capacities; socio-spatial dynamics; coordination among actors; communication and information dissemination; and the evaluation processes. Several gaps and shortcomings were identified with relation to some of these aspects, and the significance of addressing these gaps is highlighted in the paper.

Practical implications

A number of recommendations are provided to address the existing shortcomings and to improve the overall performance of tsunami warning system in Sri Lanka.

Originality/value

Based on the findings, a framework was developed into a more detailed analytical framework that depicts the interface operationalisation in Sri Lanka, and can also be potentially applied to similar cases across the world. The new analytical framework was validated through a focus group discussion held in Sri Lanka with the participation of experts and practitioners.

Details

International Journal of Disaster Resilience in the Built Environment, vol. 11 no. 2
Type: Research Article
ISSN: 1759-5908

Keywords

Article
Publication date: 23 December 2020

Henrique Costa Marques, Alessandro Giacotto, Carlos Eduardo Scussiatto and Fernando Teixeira Mendes Abrahão

A framework is being developed to help Integrated Electronic Technical Publications (IETP) consultation inside and outside the aviation maintenance hangar. The expected…

Abstract

Purpose

A framework is being developed to help Integrated Electronic Technical Publications (IETP) consultation inside and outside the aviation maintenance hangar. The expected results are the reduction in time to access the desired IETP and to assist mechanics while performing maintenance tasks using voice recognition.

Design/methodology/approach

The work is being conducted based on literature review and consultation with mechanics from the aviation industry, through questionnaires. The development will be made through study cases by building a core search engine and mobile applications to support the mechanics during the maintenance activities.

Findings

The identified problem in small maintenance shops and defence organizations suggests that IETP are not entirely accessible before and during the maintenance activity. Such organizations suffer from information and communications technology (ICT) low infrastructure capability and demand access to multiple IETP databases as they usually support different aircraft. To have access to the IETP through voice assistant application will help mechanics to access the IETP, including when they would be with dirty hands and having difficulty in using mobile devices with touch displays.

Originality/value

The framework being developed will give mechanics the ability to quickly find any existing IETP to support its maintenance task at any time and in any place with low demanding for ICT infrastructure. The architecture will support different applications, and the identified priority is for IETP viewers to the most demanding functionality of specification ASD S1000D. This approach could also help in troubleshooting activities since COVID-19 brought new demands for the social distancing for mechanics.

Details

Journal of Quality in Maintenance Engineering, vol. 27 no. 3
Type: Research Article
ISSN: 1355-2511

Keywords

Article
Publication date: 5 September 2016

Harshvardhan Jitendra Pandit and Adrian O’Riordan

The purpose of this paper is to introduce a model for identifying, storing and sharing contextual information across smartphone apps that uses the native device services…

Abstract

Purpose

The purpose of this paper is to introduce a model for identifying, storing and sharing contextual information across smartphone apps that uses the native device services. The authors present the idea of using user input and interaction within an app as contextual information, and how each app can identify and store contextual information.

Design/methodology/approach

Contexts are modeled as hierarchical objects that can be stored and shared by applications using native mechanisms. A proof-of-concept implementation of the model for the Android platform demonstrates contexts modelled as hierarchical objects stored and shared by applications using native mechanisms.

Findings

The model was found to be practically viable by implemented sample apps that share context and through a performance analysis of the system.

Practical implications

The contextual data-sharing model enables the creation of smart apps and services without being tied to any vendor’s cloud services.

Originality/value

This paper introduces a new approach for sharing context in smartphone applications that does not require cloud services.

Details

International Journal of Pervasive Computing and Communications, vol. 12 no. 3
Type: Research Article
ISSN: 1742-7371

Keywords

Article
Publication date: 15 July 2022

Youjiang Gao and Hongfei Liu

Artificial intelligence (AI) technology has revolutionized customers' interactive marketing experience. Although there have been a substantial number of studies exploring…

Abstract

Purpose

Artificial intelligence (AI) technology has revolutionized customers' interactive marketing experience. Although there have been a substantial number of studies exploring the application of AI in interactive marketing, personalization as an important concept remains underexplored in AI marketing research and practices. This study aims to introduce the concept of AI-enabled personalization (AIP), understand the applications of AIP throughout the customer journey and draw up a future research agenda for AIP.

Design/methodology/approach

Drawing upon Lemon and Verhoef's customer journey, the authors explore relevant literature and industry observations on AIP applications in interactive marketing. The authors identify the dilemmas of AIP practices in different stages of customer journeys and make important managerial recommendations in response to such dilemmas.

Findings

AIP manifests itself as personalized profiling, navigation, nudges and retention in the five stages of the customer journey. In response to the dilemmas throughout the customer journey, the authors developed a series of managerial recommendations. The paper is concluded by highlighting the future research directions of AIP, from the perspectives of conceptualization, contextualization, application, implication and consumer interactions.

Research limitations/implications

New conceptual ideas are presented in respect of how to harness AIP in the interactive marketing field. This study highlights the tensions in personalization research in the digital age and sets future research agenda.

Practical implications

This paper reveals the dilemmas in the practices of personalization marketing and proposes managerial implications to address such dilemmas from both the managerial and technological perspectives.

Originality/value

This is one of the first research papers dedicated to the application of AI in interactive marketing through the lenses of personalization. This paper pushes the boundaries of AI research in the marketing field. Drawing upon AIP research and managerial issues, the authors specify the AI–customer interactions along the touch points in the customer journey in order to inform and inspire future AIP research and practices.

Details

Journal of Research in Interactive Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7122

Keywords

Open Access
Article
Publication date: 11 July 2016

Siri Hettige and Richard Haigh

The impact of disasters caused by natural hazards on people in affected communities is mediated by a whole range of circumstances such as the intensity of the disaster…

1945

Abstract

Purpose

The impact of disasters caused by natural hazards on people in affected communities is mediated by a whole range of circumstances such as the intensity of the disaster, type and nature of the community affected and the nature of loss and displacement. The purpose of this paper is to demonstrate the need to adopt a holistic or integrated approach to assessment of the process of disaster recovery, and to develop a multidimensional assessment framework.

Design/methodology/approach

The study is designed as a novel qualitative assessment of the recovery process using qualitative data collection techniques from a sample of communities affected by the Indian Ocean tsunami in Eastern and Southern Sri Lanka.

Findings

The outcomes of the interventions have varied widely depending on such factors as the nature of the community, the nature of the intervention and the mode of delivery for donor support. The surveyed communities are ranked in terms of the nature and extent of recovery.

Practical implications

The indices of recovery developed constitute a convenient tool of measurement of effectiveness and limitations of external interventions. The assessment used is multidimensional and socially inclusive.

Originality/value

The approach adopted is new to post-disaster recovery assessments and is useful for monitoring and evaluation of recovery processes. It also fits into the social accountability model as the assessment is based on community experience with the recovery process.

Details

Disaster Prevention and Management: An International Journal, vol. 25 no. 5
Type: Research Article
ISSN: 0965-3562

Keywords

Article
Publication date: 26 July 2021

Sandunika Sasuli Chiranthi Ginthotavidana and Kapugama Geeganage Anuradha Samarajeewa Waidyasekara

The purpose of this study is to develop a customised model to measure the performance of housekeeping (HK) services in Sri Lankan health-care facilities.

Abstract

Purpose

The purpose of this study is to develop a customised model to measure the performance of housekeeping (HK) services in Sri Lankan health-care facilities.

Design/methodology/approach

An exploratory sequential mixed approach was adopted in the study to collect and analyse data. A case study strategy was adopted in the initial phase to explore the current HK practices, and to determine the applicable key performance indicators (KPIs) found through literature. Semi-structured interviews were used as the data collection method in the selected case studies. A questionnaire survey was conducted in the next phase to verify the validity of case study findings. Quantitative data were analysed using descriptive statistics. One sample t-test was used to identify significant KPIs and to formulate the customised performance measurement (PM) model.

Findings

The study identified and ranked 46 KPIs, which can be used to measure the performance of HK divisions of health-care facilities, in balanced scorecard perspectives. The findings also revealed that the KPIs determined using the model have a significant impact on implementing effective health-care HK services and could be used to measure both real and subjective cleanliness.

Practical implications

The developed model can be used for numerous PM requirements in health-care setups in both developing and developed countries. The KPIs determined using this model can be presented in quality audits and government inspections as proof of effective HK management. The HK managers of the health-care sector can effectively monitor the performance of their divisions using the proposed PM model and this model can be customised to match the other facilities management service divisions.

Originality/value

Many studies focus on overall health-care PM. This study expands the knowledge on HK PM in the health-care sector by presenting a collection of performance indicators centred on HK function.

Article
Publication date: 3 May 2022

Nurhafihz Noor, Sally Rao Hill and Indrit Troshani

Service providers and consumers alike are increasingly adopting artificial intelligence service agents (AISA) for service. Yet, no service quality scale exists that can…

Abstract

Purpose

Service providers and consumers alike are increasingly adopting artificial intelligence service agents (AISA) for service. Yet, no service quality scale exists that can fully capture the key factors influencing AISA service quality. This study aims to address this shortcoming by developing a scale for measuring AISA service quality (AISAQUAL).

Design/methodology/approach

Based on extant service quality research and established scale development techniques, the study constructs, refines and validates a multidimensional AISAQUAL scale through a series of pilot and validation studies.

Findings

AISAQUAL contains 26 items across six dimensions: efficiency, security, availability, enjoyment, contact and anthropomorphism. The new scale demonstrates good psychometric properties and can be used to evaluate service quality across AISA, providing a means of examining the relationships between AISA service quality and satisfaction, perceived value as well as loyalty.

Research limitations/implications

Future research should validate AISAQUAL with other AISA types, as they diffuse throughout the service sector. Moderating factors related to services, the customer and the AISA can be investigated to uncover the boundary conditions under which AISAQUAL is likely to influence service outcomes. Longitudinal studies can be carried out to assess how ongoing use of AISA can change service outcomes.

Practical implications

Service managers can use AISAQUAL to effectively monitor, diagnose and improve services provided by AISA while enhancing their understanding of how AISA can deliver better service quality and customer loyalty outcomes.

Originality/value

Anthropomorphism is identified as a new service quality dimension. AISAQUAL facilitates theory development by providing a reliable scale to improve the current understanding of consumers’ perspectives concerning AISA services.

Details

European Journal of Marketing, vol. 56 no. 5
Type: Research Article
ISSN: 0309-0566

Keywords

Article
Publication date: 11 February 2021

Elizabeth H. Manser Payne, Andrew J. Dahl and James Peltier

Innovative firms have rapidly developed artificial intelligence (AI) capabilities into their service ecosystems, essentially changing perceptions of what is service…

2893

Abstract

Purpose

Innovative firms have rapidly developed artificial intelligence (AI) capabilities into their service ecosystems, essentially changing perceptions of what is service quality and service delivery in their respective industries. Nonetheless, the issues surrounding AI services remain relatively unknown. The purpose for this paper is to offer a digital servitization framework for understanding how AI services impact value perceptions, consumer engagement and firm performance measures. The authors use the financial service ecosystem to explore this topic.

Design/methodology/approach

The authors explore relevant literature on digital servitization, service-dominant logic and AI/disruptive innovation. Next, a conceptual framework, organized by AI-Service Exchange Antecedents, Context of AI Usage and Digital Servitization Consequences, is developed. The authors conceptualize consequences for consumers and firms.

Findings

The main findings suggest that the linkages between consumers, financial institutions and fintech companies with AI usage in a service ecosystem should be identified; how value is created among multiple SD Logic-AI network actors should be analyzed; and the effects of AI-consumer interactions (lower-level and higher levels of engagement) on firm performance measures should be explored.

Research limitations/implications

The conceptual framework identifies gaps in the literature and suggests research questions for future studies.

Practical implications

This paper may assist practitioners with the development of AI-enabled banking activities that involve direct consumer engagement.

Originality/value

To the authors’ best knowledge, this research agenda is the first comprehensive framework for understanding value co-creation in the context of AI in financial services, linking antecedents, usage and consequences.

1 – 10 of 14