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Article
Publication date: 25 January 2021

Lovelin Ifeoma Obi, Mohammed Arif, Bankole Awuzie, Rubina Islam, Aman Deep Gupta and Robert Walton

Effective cost performance is a crucial criterion measuring successful project management in public-housing projects. This paper aims to analyse the vital underlying…

Abstract

Purpose

Effective cost performance is a crucial criterion measuring successful project management in public-housing projects. This paper aims to analyse the vital underlying factors surrounding the successful cost management process (CMP) outcomes in public housing projects (PHPs).

Design/methodology/approach

The research was conducted in three stages. The first stage consisted of a detailed literature review to document success factors affecting cost performances and management. In stage two, brainstorming sessions were undertaken with construction experts knowledgeable in cost management practices and have been involved in PHPs. These sessions were used to refine those success factors for the PHPs settings and define their criticality with respect to the CMP stages using interpretive ranking process. In stage three, focus group sessions were performed to validate the interrelationships of the contextualised critical success factors.

Findings

The top three most critical factors for successful implementation and outcomes at all CMP stages in PHPs settings were found to relate to competencies, team qualities and collaborative practices of the project team. Early contractor involvement and effective construction planning and management also emerged relevant to the process.

Practical implications

Government project departments, project managers and construction organisations (consultants and contractors) need to commit and mandate continuous development of cost management competencies for all professionals engaged in PHPs. Channels supporting team integration and collaborative practices between design and construction teams are required to increase the likelihood of successful project cost management practice and outcomes in PHPs.

Originality/value

The research has developed a factor-process relationship model that can be used to improve and evaluate the efficacy of CMP implementation in PHP settings.

Details

Construction Innovation , vol. 21 no. 4
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 16 January 2017

Mohammed Arif, Mohammed Al Zubi, Aman Deep Gupta, Charles Egbu, Robert O. Walton and Rubina Islam

The purpose of this paper is to present a maturity model developed to assess knowledge sharing (KS) for the Jordanian construction sector.

Abstract

Purpose

The purpose of this paper is to present a maturity model developed to assess knowledge sharing (KS) for the Jordanian construction sector.

Design/methodology/approach

The research was conducted in three stages. The first stage consisted of the review of literature and documenting variables from the literature that highlight influence on KS in organizations. The second stage was designed for maturity model development by identifying the cultural factors that affect KS in the Jordanian construction sector through questionnaires and interviews. Factor analysis was used to find possible relationships between the cultural variables followed by semi-structured interviews. In the third stage the initial maturity model was refined through another set of semi-structured interviews.

Findings

The model presented in the paper includes three levels of maturity. The first level identifies whether the variable barely exists in company’s KS practices. The second level shows the occasional techniques which the company uses to increase KS activities. The final level demonstrates the importance of the variable in affecting KS as being fundamentally ingrained in the company’s vision, mission, strategy and operations.

Originality/value

The research has developed a model that can be used to measure the KS in an organization. Although the model has been applied to the construction industry, it can easily be modified to fit in the other sectors.

Details

Engineering, Construction and Architectural Management, vol. 24 no. 1
Type: Research Article
ISSN: 0969-9988

Keywords

Article
Publication date: 13 July 2015

Mohammed Arif, Al-Zubi Mohammed and Aman Deep Gupta

The purpose of this paper is to develop a model to understand and facilitate more knowledge sharing (KS) among construction companies in Jordan. Sixteen cultural variables…

Abstract

Purpose

The purpose of this paper is to develop a model to understand and facilitate more knowledge sharing (KS) among construction companies in Jordan. Sixteen cultural variables that affect KS were identified through self-administered questionnaires.

Design/methodology/approach

Factor analysis was used to find possible relationships between the cultural variables for grouping purposes and to eliminate the cultural variables that do not affect KS. The results of factor analysis were further refined using a brainstorming session and Analytic Hierarchy Process (AHP) was used to prioritise the factors obtained through the factor analysis.

Findings

Trust, management and communication were identified as the three most important factors, whilst communication was acknowledged as the least important factor.

Originality/value

This research uses factor analysis and AHP to study the influence of cultural factors on KS. It develops a hierarchy of factors that affect effective KS within the Jordanian context. The paper investigated KS in-depth and highlighted the components that constitute KS in an organisation. Based on extensive literature review, this study found the relative importance of different factors that affect KS. The emphasis on trust was found to be more critical than the presence of a computer-based system. In addition, this is the first paper of this type to look at KS in the context of the Jordanian construction industry.

Details

Construction Innovation, vol. 15 no. 3
Type: Research Article
ISSN: 1471-4175

Keywords

Article
Publication date: 2 May 2008

Aman Deep, Peter Guttridge, Samir Dani and Neil Burns

The purpose of this paper is to present the findings of research carried out as part of an industrial project for selection of an enterprise resource planning (ERP) system…

6209

Abstract

Purpose

The purpose of this paper is to present the findings of research carried out as part of an industrial project for selection of an enterprise resource planning (ERP) system in a made‐to‐order (MTO) small‐to‐medium enterprise (SME) scenario. It develops a framework or methodology for selection. It also highlights the areas pertaining to the unique needs of, first, the SME sector and, second, the MTO sector, to be considered while selecting a solution. A work book is developed to provide a structured ERP software selection process for SMEs using a comprehensive literature review plus practical experience. This research is potentially aimed at being useful to other SMEs as a guide for a structured selection process.

Design/methodology/approach

A combination of comprehensive literature review and experience of managing the selection process for an ERP system in an SME was employed for the study.

Findings

Over the past few years, the number of large companies buying new ERP systems has reached saturation point. This has led to the ERP developers seeking instead other potential markets among SMEs. The MTO scenario within the SME sector is one which is very capricious in terms of demand forecasting, lead times, routings, etc. When selecting a system, an organisation in such a segment needs a tailored methodology and a list of key target areas to consider.

Practical implications

The paper represents a very useful source of practical information for the SME sector to consider when selecting an ERP system.

Originality/value

The paper provides valuable insight into the details of ERP selection, focusing on the peculiarities of the SME MTO sector.

Details

Journal of Manufacturing Technology Management, vol. 19 no. 4
Type: Research Article
ISSN: 1741-038X

Keywords

Content available
Article
Publication date: 2 May 2008

Vipul Jain and Lyes Benyoucef with David Bennett

541

Abstract

Details

Journal of Manufacturing Technology Management, vol. 19 no. 4
Type: Research Article
ISSN: 1741-038X

Article
Publication date: 4 July 2020

Rishabh Rathore, J. J. Thakkar and J. K. Jha

This paper investigates the risks involved in the Indian foodgrain supply chain (FSC) and proposes risk mitigation taxonomy to enable decision making.

Abstract

Purpose

This paper investigates the risks involved in the Indian foodgrain supply chain (FSC) and proposes risk mitigation taxonomy to enable decision making.

Design/methodology/approach

This paper used failure mode and effect analysis (FMEA) for risk estimation. In the traditional FMEA, risk priority number (RPN) is evaluated by multiplying the probability of occurrence, severity and detection. Because of some drawbacks of the traditional FMEA, instead of calculating RPN, this paper prioritizes the FSC risk factors using fuzzy VIKOR. VIKOR is a multiple attribute decision-making technique which aims to rank FSC risk factors with respect to criteria.

Findings

The findings indicate that “technological risk” has a higher impact on the FSC, followed by natural disaster, communication failure, non-availability of procurement centers, malfunctioning in PDS and inadequate storage facility. Sensitivity analysis is performed to check the robustness of the results.

Practical implications

The outcomes of the study can help in deriving detailed risk mitigation strategy and risk mitigation taxonomy for the improved resilience of FSC.

Originality/value

Specifically, this research investigates the risks for foodgrains supply chain system for a developing country such as India, an area which has received limited attention in the present literature.

Details

International Journal of Quality & Reliability Management, vol. 38 no. 2
Type: Research Article
ISSN: 0265-671X

Keywords

Book part
Publication date: 23 June 2016

Jeffrey S. Racine

Local polynomial regression is extremely popular in applied settings. Recent developments in shape-constrained nonparametric regression allow practitioners to impose…

Abstract

Local polynomial regression is extremely popular in applied settings. Recent developments in shape-constrained nonparametric regression allow practitioners to impose constraints on local polynomial estimators thereby ensuring that the resulting estimates are consistent with underlying theory. However, it turns out that local polynomial derivative estimates may fail to coincide with the analytic derivative of the local polynomial regression estimate which can be problematic, particularly in the context of shape-constrained estimation. In such cases, practitioners might prefer to instead use analytic derivatives along the lines of those proposed in the local constant setting by Rilstone and Ullah (1989). Demonstrations and applications are considered.

Details

Essays in Honor of Aman Ullah
Type: Book
ISBN: 978-1-78560-786-8

Keywords

Article
Publication date: 7 January 2019

Mandeep Saini, Mohammed Arif and Dennis J. Kulonda

This paper aims to investigate the potential challenges that hinder the effective transfer and sharing of tacit knowledge (knowledge communication [KC]) within a…

Abstract

Purpose

This paper aims to investigate the potential challenges that hinder the effective transfer and sharing of tacit knowledge (knowledge communication [KC]) within a construction supply chain (CSC).

Design/methodology/approach

This study identifies six challenges (through literature review) with 15 positive correlations between them. Quantitative methodology is used to validate those challenges and correlations between challenges. First, data are collected through semi-structured e-survey questionnaire. Afterwards, a Frequency and Kruskal–Wallis H test is run for initial validation of identified challenges. A correlation analysis is used to highlight the taxonomic relations between those challenges. Finally, the study establishes the rank order of the first and following challenges.

Findings

This study highlights that traditional ways of working with construction organisations are the predominant challenge that hinders effective transferring and sharing of tacit knowledge. The cause of challenges is the fragmented nature of CSC. Also, it brings out the correlation between those challenges. The study draws the conclusion and recommendation to implement KC within a CSC.

Originality/value

The study highlights the challenges that hinder KC in a construction process of a CSC. It establishes that the fragmented nature of the construction sector is not the first challenge that hinders implementation of transferring and sharing of tacit knowledge but somewhat traditional organisation structures and working processes. This is the first paper that investigates and tests the challenges in four dimensions and establishes the rank order of challenges with crucial distinction in a KC approach within a CSC.

Article
Publication date: 22 July 2020

Jiten Chaudhary, Rajneesh Rani and Aman Kamboj

Brain tumor is one of the most dangerous and life-threatening disease. In order to decide the type of tumor, devising a treatment plan and estimating the overall survival…

Abstract

Purpose

Brain tumor is one of the most dangerous and life-threatening disease. In order to decide the type of tumor, devising a treatment plan and estimating the overall survival time of the patient, accurate segmentation of tumor region from images is extremely important. The process of manual segmentation is very time-consuming and prone to errors; therefore, this paper aims to provide a deep learning based method, that automatically segment the tumor region from MR images.

Design/methodology/approach

In this paper, the authors propose a deep neural network for automatic brain tumor (Glioma) segmentation. Intensity normalization and data augmentation have been incorporated as pre-processing steps for the images. The proposed model is trained on multichannel magnetic resonance imaging (MRI) images. The model outputs high-resolution segmentations of brain tumor regions in the input images.

Findings

The proposed model is evaluated on benchmark BRATS 2013 dataset. To evaluate the performance, the authors have used Dice score, sensitivity and positive predictive value (PPV). The superior performance of the proposed model is validated by training very popular UNet model in the similar conditions. The results indicate that proposed model has obtained promising results and is effective for segmentation of Glioma regions in MRI at a clinical level.

Practical implications

The model can be used by doctors to identify the exact location of the tumorous region.

Originality/value

The proposed model is an improvement to the UNet model. The model has fewer layers and a smaller number of parameters in comparison to the UNet model. This helps the network to train over databases with fewer images and gives superior results. Moreover, the information of bottleneck feature learned by the network has been fused with skip connection path to enrich the feature map.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 13 no. 4
Type: Research Article
ISSN: 1756-378X

Keywords

Book part
Publication date: 26 November 2014

Keith Bettinger, Micah Fisher and Wendy Miles

Indonesia is one of the world’s “megadiverse” countries, providing ecosystem services that accrue at the global scale. However, control over access to and use of natural…

Abstract

Indonesia is one of the world’s “megadiverse” countries, providing ecosystem services that accrue at the global scale. However, control over access to and use of natural resources has historically been a source of tension between the central government and local communities, with the latter usually being marginalized by the former. Since the fall of the authoritarian Suharto regime in 1998, however, a grassroots movement supports the revitalization of customary communities and their traditional systems of social organization (adat). A major part of this quest for legitimacy is the portrayal of indigenous people as environmentally benign. This chapter describes how indigenous systems have been influenced by political processes over time. We then describe how the changing political–administrative landscape has given rise to a national indigenous rights movement. We also analyze international factors that have contributed to the emergence of the indigenous movement before discussing potential challenges facing the movement in the future. This chapter seeks to get beyond the simplistic conflation of indigenous peoples and environmentalism by understanding the strategic articulation of indigeneity and environmentalism.

Details

Occupy the Earth: Global Environmental Movements
Type: Book
ISBN: 978-1-78350-697-2

Keywords

1 – 10 of 248