Modeling the key barriers to lean construction using interpretive structural modeling

Khaba, Sorokhaibam; Bhar, Chandan

doi:10.1108/jm2-07-2015-0052

Cited by 41 publications

(45 citation statements)

References 62 publications

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“…However, even though the construction industry has improved its processes and results through LC, as shown by Dunlop and Smith (2004), Yu et al (2011), Pheng and Lin (2015), Ruppenthal et al (2015), reports described in works such as Koskela et al (2002), Bajjou and Chafi ( 2018), Ahmed and Sobuz (2019), Sarhan et al (2017), Khaba and Bhar (2016), Martinez et al (2019) point to barriers that hinder the development and diffusion of LC, some of which are presented in Section 4.…”

Section: Barriers Evaluation To Lean Constructionmentioning

confidence: 99%

Criticality assessment of the barriers to Lean Construction

Mano

Costa

Lima

2020

IJPPM

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PurposeThe purpose of this study seeks to identify the critical barriers for the deployment of Lean Construction (LC).Design/methodology/approachIn order to identify the barriers of Lean Construction, a systematic review of the scientific literature was carried out, in addition to analysis of the content of papers presented at a major Lean Construction conference. After the barriers were identified, a Lawshe study was conducted with experts in Lean Construction to verify the criticality of each of the barriers encountered.FindingsThis study identified 83 potential pre-deployment barriers in the literature, of which eight were considered critical by the experts. The results of Lawshe study pointed that critical barriers refer to leadership characteristics, cultural aspects and structural aspects.Research limitations/implicationsVariations in the assessment of the criticality of the barriers may occur from one country to another due to regional differences in the construction sector.Practical implicationsThe implications of this study are recognizing and identifying the characteristics of an organization that can hinder Lean Construction allows these issues to be resolved before beginning the Lean journey.Originality/valueThis article is the first of its kind to assess the criticality of barriers to Lean Construction using a quantitative technique. Knowledge of this set of barriers provides both practical and theoretical readers with an increased chance of success in the deployment of an LC project.

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Section: Barriers Evaluation To Lean Constructionmentioning

confidence: 99%

Criticality assessment of the barriers to Lean Construction

Mano

Costa

Lima

2020

IJPPM

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“…Almeida Marodin and Saurin (2015) developed a framework for proper implementation of LM and subsequently analyzed the common barriers using the interpretive structural modeling (ISM) approach. Khaba and Bhar (2017) analyzed the key barriers to lean practices in construction industries by using ISM methodology and found that “cultural differences” are the most critical barriers in adoption of these practices. Jadhav et al (2014) examined 12 common barriers to the implementation of JIT production through the ISM approach.…”

Section: Literature Reviewmentioning

confidence: 99%

Barriers in implementing lean manufacturing in Indian SMEs: a multi-criteria decision-making approach

Jaiswal

Singh

Misra

et al. 2020

JM2

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Purpose This study aims to investigate the interrelationships among the Lean manufacturing (LM) adoption barriers in Indian SMEs. This issue has its own importance as LM has become the inescapable requirement for small- and medium-scale enterprises (SMEs) because of the increased concerns about quality, cost, delivery time and rapidly growing competition in the manufacturing sector and in India it is opposed by many factors/barriers. To act for the eradication of these barriers, we need to systematically analyze them. Design/methodology/approach Based on the available literature and consultation with the experts, the authors identified 16 LM barriers for Indian SMEs. The authors analyzed the interdependencies among the barriers and prioritized them using integrated Grey-decision-making trial and evaluation laboratory (grey-DEMATEL) approach. Findings The findings show that limited financial resources, fear in adopting new technology, lack of top management commitment and poor leadership quality are the most critical barriers for LM diffusion in Indian SMEs. Research limitations/implications The present research is based on the experts’ inputs, which may be subject to individual biases. In developing countries, such as India, geographical influences are also possible, which are neglected in this study. Practical implications This study provides significant insights that can help SMEs to focus on critical cause group barriers to accelerate the LM penetration. Originality/value The authors have proposed a Grey-DEMATEL-based LM barrier evaluation framework. Here, the authors analyze the interrelationships among the barriers for LM and segregate them in cause and effect groups.

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“…With the help of expert opinion, ISM can be used for drawing the interrelationships between unstructured and poorly communicated variables (Mandal and Deshmukh, 1994). Researchers are using ISM technique in various fields such as supply chain management (Gorane and Kant, 2015; Kumar and Rahman, 2017), lean construction (Khaba and Bhar, 2017), environmentally conscious manufacturing (Kumar Mittal and Singh Sangwan, 2014), sustainable supplier selection (Girubha et al , 2016), environmentally concerned consumer behaviour (Kautish and Dash, 2017), green supply chain management (Gardas et al , 2018) and total productive maintenance implementation (Singh et al , 2014). ISM is a sequential process, various steps of ISM are shown in Figure 1 (Warfield, 1974; Mahajan et al , 2014).…”

Section: Methodsmentioning

confidence: 99%

Modelling the enablers of sustainable consumer behaviour towards electronic products

Sheoran

Kumar

2020

JM2

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Purpose The consumption patterns of humanity are putting an enormous burden on the resources, which are beyond the fulfiling capacity of the earth. These consumption patterns need to be made sustainable. Therefore, this study aims to focus on identifying the key enablers driving the sustainable consumer behaviour. Design/methodology/approach Based on the literature review of 107 studies (1995 to 2018), which were published over a period of 23 years, fourteen key enablers of sustainable consumer behaviour were identified. These 14 enablers were validated with the help of empirical research done by surveying 200 consumers of electronic products. This was followed by the application of interpretive structural modelling (ISM) technique, to get an insight into how these enablers are influencing sustainable consumer behaviour. Findings ISM technique and empirical research aided in classifying the enablers based on their driving and dependence power. A further analysis was done to know about the contextual relationship between all 14 enablers and how these enablers are influencing each other and sustainable consumer behaviour. Attitude, subjective norm and perceived controlled behaviour were found dependent variables while education, government policy and advertisement emerged as an autonomous variable. Research limitations/implications This study will be helpful for future research in the field of sustainable consumer behaviour. Through understanding of the enablers of sustainable consumer behaviour, a scale can be developed having significant theoretical and managerial implications. This study may help in improving the sustainability initiatives by various stakeholders involved in the process of purchase, usage and dispose of electronic products. Originality/value This study is the first temporal and spatial study, which includes a holistic view of the enablers of sustainable consumer behaviour.

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Modeling the key barriers to lean construction using interpretive structural modeling

Cited by 41 publications

References 62 publications

Criticality assessment of the barriers to Lean Construction

Criticality assessment of the barriers to Lean Construction

Barriers in implementing lean manufacturing in Indian SMEs: a multi-criteria decision-making approach

Modelling the enablers of sustainable consumer behaviour towards electronic products

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