Analysing the barriers of lean in Indian coal mining industry using integrated ISM-MICMAC and SEM

2018 ◽  
Vol 25 (7) ◽  
pp. 2145-2168 ◽  
Author(s):  
Sorokhaibam Khaba ◽  
Chandan Bhar
Keyword(s):  
Coal Mining ◽  
Structural Equation ◽  
Academic Research ◽  
Mining Industry ◽  
Equation Modeling ◽  
Interpretive Structural Modeling ◽  
Lean Implementation ◽  
Content Type ◽  
Coal Mining Industry ◽  
Indian Coal

Purpose The purpose of this paper is to develop and validate a model for key barriers to lean implementation in the Indian coal mining industry. Design/methodology/approach Interpretive structural modeling (ISM) has been used to develop a proper hierarchy and contextual relationship of key barriers to lean implementation in the Indian coal mining industry through literature review and expert opinion which is followed by the classification of barriers using Matrice d’ Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) and questionnaire-based survey to validate the ISM model using structural equation modeling (SEM). Findings In this study, 14 key barriers to lean implementation in the Indian coal mining industry have been identified, modeled and analyzed. The lack of top management commitment, financial constraints and lack of inter-departments co-ordination are found to be the most important barriers to lean implementation in the mining industry. The ISM-based model is validated using the SEM. Research limitations/implications The analysis of data represents that relatively more participants were from the mines located in eastern India and the maximum participants were managers and executives holding different levels (lower, middle or upper), although key participants in different mines were encouraged to distribute the survey to other employees also. Practical implications This model on lean barriers would help the decision makers, researchers and practitioners to anticipate potential barriers to lean implementation and support the existing academic research on lean. Accordingly, the focus on the lean barriers can be prioritized for the better utilization of the available resources for eliminating or minimizing the barriers. Originality/value This paper is an original contribution of analysis of the lean barriers in Indian mining industry using the integrated ISM–MICMAC and SEM approach.

Lean awareness and potential for lean implementation in the Indian coal mining industry

2018 ◽  
Vol 35 (6) ◽  
pp. 1215-1231 ◽  
Author(s):  
Sorokhaibam Khaba ◽  
Chandan Bhar
Keyword(s):  
Coal Mining ◽  
Academic Research ◽  
Mining Industry ◽  
New Paradigm ◽  
Lean Implementation ◽  
Content Type ◽  
Coal Mining Industry ◽  
Electronic Survey ◽  
Indian Coal ◽  
Pencil And Paper

Purpose The purpose of this paper is to determine the degree of lean awareness and implementation and to identify the perception on tools, enablers, barriers and potential benefits of lean in the Indian coal mining industry. Design/methodology/approach A systematic review of lean literature and expert opinion was used to design the survey instrument. Data were collected through electronic survey and traditional pencil and paper approach. In order to test the research hypotheses, independent sample t-tests were done. Findings The study reveals that there is a certain degree of lean awareness although the level of lean implementation is still at a nascent stage in the Indian coal mining sector. The main applicable tools, barriers, enablers and benefits have also been identified based on 54 respondents out of 109 suitable respondents. Research limitations /implications In this study, relatively the maximum participants were from the mines located in Eastern India. Thus, a certain level of bias can be anticipated. The findings would help the decision makers, researchers and practitioners to better utilize the available resources for lean implementation and support the existing academic research on lean. Originality/Value The concept of lean in mining industry is relatively a new paradigm and there is a lack of empirical study that explores applicable tools, barriers, enablers and benefits of lean in Indian mining industry. The study addresses this gap in the lean literature.

A study on key lean enablers of the coal mining sector using ISM, MICMAC and SEM

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sorokhaibam Khaba ◽  
Chandan Bhar ◽  
Ankita Ray
Keyword(s):  
Conceptual Model ◽  
Coal Mining ◽  
Questionnaire Survey ◽  
Coal Mines ◽  
Mining Industry ◽  
Mining Sector ◽  
Lean Implementation ◽  
Content Type ◽  
Coal Mining Industry ◽  
Indian Coal

PurposeThe purpose of this research is to identify and study the contextual relationships of the significant lean enablers in the Indian coal mining industry using the application of interpretive structural modeling (ISM), matrice d' impacts croisés-multiplication appliquée á un classement (MICMAC) and structural equation modeling (SEM).Design/methodology/approachIn this study, a conceptual model based on ISM was developed forming a hierarchy and contextual relationships of significant enablers for lean implementation in the Indian coal mining industry using a literature review and eliciting expert opinion, which is followed by MICMAC for grouping of enablers and questionnaire survey to validate the ISM based conceptual model using SEM.FindingsThe study modeled and analyzed ten significant enablers of lean implementation in the Indian coal mining industry. The findings suggest that the most important lean enablers in the Indian coal mining industry are employee empowerment, employee motivation and commitment, consistent financial performance measurement and management support.Research limitations/implicationsJudgmental sampling was used for selecting the respondents for conducting the questionnaire survey in this research work as there are a few numbers of coal mines implementing lean principles in India. Although the study was not restricted to a particular part of India with the sample representing the heterogeneous population, the study represents more data from the coal mines in eastern India.Practical implicationsThe model on lean enablers would help the researchers, decision-makers and practitioners to anticipate potential lean enablers in the Indian coal mines and rank the enablers for improved and efficient usage of the available resources creating value to customers with lean and to sustenance academic research on lean.Originality/valueStudies on lean enablers in the mining sector are scarce in the literature, and this study is a novel contribution of exploring lean enablers in the Indian coal mining industry using an integrated approach of ISM–MICMAC and SEM.

Quantifying SWOT analysis for the Indian coal mining industry using Fuzzy DEMATEL

2017 ◽  
Vol 24 (4) ◽  
pp. 882-902 ◽  
Author(s):  
Sorokhaibam Khaba ◽  
Chandan Bhar
Keyword(s):  
Coal Mining ◽  
Swot Analysis ◽  
Mining Industry ◽  
Coal Industry ◽  
Fuzzy Decision Making ◽  
Quality Improvement Initiative ◽  
Mining Sector ◽  
Content Type ◽  
Coal Mining Industry ◽  
Indian Coal

Purpose The purpose of this paper is to quantify the strengths, weaknesses, opportunities and threats (SWOT) analysis for the Indian coal mining industry using Fuzzy Decision-Making Trial and Evaluation Laboratory. Design/methodology/approach After obtaining 17 factors from literature and expert opinion, an interview questionnaire was designed and tested to assure the content validity of questionnaire. A group of 15 qualified experts consisting of 4 professors from academic institutions and 11 management professionals from mining sector with substantial experience were consulted. Findings The result from causal relationship implied that the decision makers should focus on improving the ability of exploitation and production using quality improvement initiative such as lean production, developing research and development units for clean coal technology and working with strong exporters. This study also finds that foreign investment in mining sector is also a main factor that highly influences other factors. Research limitations/implications The study is based on personal judgments and the shortage of respondents limits the study to ensure the validity. Practical implications The stated strategies both for the government and industry through SWOT analysis could facilitate improved productivity of the Indian coal industry if adopted. Originality/value This paper demonstrates a process for quantitative SWOT analysis for the Indian coal mining industry that can be performed even when there is dependence among factors.

Modeling the key barriers to lean construction using interpretive structural modeling

2017 ◽  
Vol 12 (4) ◽  
pp. 652-670 ◽  
Author(s):  
Sorokhaibam Khaba ◽  
Chandan Bhar
Keyword(s):  
Structural Equation ◽  
Resistance To Change ◽  
Structural Modeling ◽  
Lean Construction ◽  
Equation Modeling ◽  
Interpretive Structural Modeling ◽  
Lean Implementation ◽  
Content Type ◽  
Micmac Analysis ◽  
Relationship Of

Purpose The purpose of this study is to identify and analyze the key barriers to lean implementation in the construction industry using interpretive structural modeling (ISM) and Matrice d’ Impacts Croisés-Multiplication Appliquée á un Classement (MICMAC) analysis. Design/methodology/approach In this study, 13 barriers to lean construction (LC) have been identified through extensive review of literature and subsequently eliciting expert opinions. A proper hierarchy and contextual relationship of the barriers have been developed using ISM, and based on the driving and dependence power of the barriers, three groups of barriers have been found using MICMAC analysis. Findings Cultural differences are found to be the most important barrier to LC, whereas employees’ resistance to change and lack of performance measurement systems are the least significant barriers. Research limitations/implications The work is limited to literature review and experts’ opinion, and the model may be tested using structural equation modeling to verify the relationship of the barriers. Practical implications This ISM-based model would help the decision-makers, researchers and practitioners to prioritize and manage these barriers by better utilizing their resources for eliminating or minimizing the barriers to lean implementation. Originality/value The study of barriers to LC through an ISM-based model and the classification of barriers is a new attempt in the field of construction.

Analysis of interaction among the barriers to 5S implementation using interpretive structural modeling approach

2017 ◽  
Vol 24 (7) ◽  
pp. 1834-1853 ◽  
Author(s):  
Rajesh Attri ◽  
Bhupender Singh ◽  
Sunil Mehra
Keyword(s):  
Structural Equation ◽  
Structural Model ◽  
Structural Modeling ◽  
Equation Modeling ◽  
Successful Implementation ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Modeling Approach ◽  
Manufacturing Organizations ◽  
Top Management Commitment

Purpose The purpose of this paper is to ascertain and analyze the interactions among different barriers of 5S implementation in manufacturing organizations. Design/methodology/approach In this paper, 15 barriers affecting the implementation of 5S in manufacturing organizations have been identified from literature analysis and discussion with academic and industrial experts. Afterwards, identified barriers were validated by using nation-wide questionnaire-based survey. Then, interpretive structural modeling (ISM) approach has been utilized to find out the interaction among the identified barriers in order to develop hierarchy-based model. Findings The research identifies several key barriers which have high driving power and weak dependence power. In this concern, these barriers entail extreme care and handling for successful implementation of 5S. Financial constraints, lack of top management commitment, and no proper vision and mission are found to be the key barriers. Research limitations/implications The developed ISM model is based on experts’ opinion. This developed hierarchy-based model requires further validation by using structural equation modeling approach or by performing detailed case studies. Originality/value In this paper, ISM-based structural model has been recommended for Indian manufacturing organizations, which is a novel exertion in the area of 5S implementation.

Why do people play mobile social games? An examination of network externalities and of uses and gratifications

2014 ◽  
Vol 24 (3) ◽  
pp. 313-331 ◽  
Author(s):  
Pei-Shan Wei ◽  
Hsi-Peng Lu
Keyword(s):  
Mobile Devices ◽  
Structural Equation ◽  
Uses And Gratifications ◽  
Network Externalities ◽  
Mobile Apps ◽  
Academic Research ◽  
Two Dimensions ◽  
Equation Modeling ◽  
Content Type ◽  
Social Games

Purpose – The purpose of this paper is to identify the factors that influence people to play socially interactive games on mobile devices. Based on network externalities and theory of uses and gratifications (U&G), it seeks to provide direction for further academic research on this timely topic. Design/methodology/approach – Based on 237 valid responses collected from online questionnaires, structural equation modeling technology was employed to examine the research model. Findings – The results reveal that both network externalities and individual gratifications significantly influence the intention to play social games on mobile devices. Time flexibility, however, which is one of the mobile device features, appears to contribute relatively little to the intention to play mobile social games. Originality/value – This research successfully applies a combination of network externalities theory and U&G theory to investigate the antecedents of players’ intentions to play mobile social games. This study is able to provide a better understanding of how two dimensions – perceived number of users/peers and individual gratification – influence mobile game playing, an insight that has not been examined previously in the mobile apps literature.

scholarly journals Information technology competency and knowledge management in the hospitality industry service supply chain

2019 ◽  
Vol 74 (4) ◽  
pp. 872-884 ◽  
Author(s):  
Mohammad Reza Jalilvand ◽  
Javad Khazaei Pool ◽  
Masood Khodadadi ◽  
Mehdi Sharifi
Keyword(s):  
Information Technology ◽  
Knowledge Management ◽  
Supply Chain ◽  
Structural Equation ◽  
Hospitality Industry ◽  
Academic Research ◽  
Equation Modeling ◽  
Content Type ◽  
Technology Competency ◽  
Service Supply Chain

Purpose This study aims to provide a better understanding of how information technology (IT) competency and knowledge management (KM) contribute to service supply chain (SSC) (coordination, collaboration and efficiency) practices in the hospitality industry. Design/methodology/approach Drawing on tourism businesses, this study tests the structural relationships of IT competency, KM and SSC. Structural equation modeling is performed to test the hypotheses. A survey of 494 hotels in Iran provided empirical evidence for the existence of interrelationships between multiple constructs. Findings The analysis demonstrated that IT competency is significantly associated with KM. Furthermore, SSC practices are found to be directly impacted by KM and IT competency. Originality/value This study unpacks the mechanism that operates between IT competency, KM and SSC and contributes to the academic research on SSC in the context of the hospitality industry.

A fuzzy interpretive structural modeling approach for evaluating the factors affecting lean implementation in Indian healthcare industry

2019 ◽  
Vol 11 (2) ◽  
pp. 376-397 ◽  
Author(s):  
Puneeta Ajmera ◽  
Vineet Jain
Keyword(s):  
Healthcare Professionals ◽  
Structural Modeling ◽  
Healthcare Sector ◽  
Equation Modeling ◽  
Healthcare Industry ◽  
Interpretive Structural Modeling ◽  
Lean Implementation ◽  
Content Type ◽  
Lean Principles ◽  
Factors Influencing

Purpose Lean concept is implemented in healthcare organizations, as it deals with improvement processes so that best services may be provided to the patients and competitive advantage may be achieved. The purpose of this paper is to evaluate the important factors which influence implementation of lean principles in the healthcare industry. Design/methodology/approach The factors influencing lean implementation in the healthcare industry have been determined through literature review and results of a survey where questionnaires were distributed among 325 healthcare professionals. Fuzzy Interpretive Structural Modeling (FISM) approach has been used to analyze the interrelationships among these factors. A FISM model has been developed to extract the key factors influencing lean implementation. Findings Results of the survey and model show that lean leadership, professional organizational culture and teamwork and interdepartmental cooperation are the top level factors. Clarity of organizational vision, communication of goals and results, follow up and evaluations are the factors with strong driving as well as strong dependence power. Even a slight action taken on these factors will have a significant impact on other factors. Practical implications The healthcare professionals and managers can acquire information from the drive power dependence matrix so that they can thoroughly understand the relative importance, interdependencies and relationships among these factors. The model will help in determining the hierarchy of various actions and activities which may be taken by the management for managing the factors that remarkably affect the lean management in hospitals. Social implications In this paper, only 15 variables appropriate for the Indian healthcare industry have been identified. The model developed in the present research has not been validated statistically which can be done by structural equation modeling (SEM). Originality/value Though there are various studies which depict that lean principles have been implemented successfully in various industries, there are few studies specifying the application of lean principles in healthcare sector in India. This paper is an attempt to identify various factors which are important for application of Lean concept in the healthcare sector.

Investigation and modeling of lean six sigma barriers in small and medium-sized industries using hybrid ISM-SEM approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahipal Singh ◽  
Rajeev Rathi
Keyword(s):  
Six Sigma ◽  
Structural Equation ◽  
Research Work ◽  
Lean Six Sigma ◽  
Equation Modeling ◽  
Original Research ◽  
Extensive Literature ◽  
Implementation Barriers ◽  
Interpretive Structural Modeling ◽  
Content Type

Purpose Lean six sigma (LSS) has attained a prominent position in mature organizations but small- and medium-sized enterprises (SMEs) are struggling in the proper implementation of LSS in their core business. This study aims to make a comprehensive analysis of LSS implementation barriers in SMEs so that LSS execution can be much fluent in SMEs. Design/methodology/approach This research work is carried out based on investigation of LSS barriers through extensive literature review. For validating the identified barriers, a questionnaire survey was conducted, and out of 400 samples, 260 responses received back. The collected responses are analyzed statistically and found 16 significant barriers. The finalized barriers are modeled using interpretive structural modeling (ISM) and clustered them through matrice d’impacts croisés-multiplication appliquée a un classement (MICMAC) analysis. Furthermore, to check the consistency of results, ISM-MICMAC outcomes are validated through structural equation modeling (SEM). Findings The result reveals that 16 LSS implementation barriers are finalized through expert’s opinion and validated through statistical reliability test with Cronbach’s alpha value of 0.820. The ISM model reveals that the management relevant barriers are exhibiting the leading role to influence the implementation of LSS in SMEs. Moreover, the obtained results validated through SEM are found in good agreement. Research limitations/implications During pairwise comparisons, there may be some prejudice and subjectivity as human judgments are engaged. Practical implications This study provides impetus to practitioners and consultant for the initiation of LSS in the business organization through tackling the LSS barriers as per their driving and dependence power. Originality/value In the past, limited studies had explored the LSS barriers, but a few studies analyzed the mutual relationship between barriers. No such study is reported in literature that validates the mutual interaction model of LSS barriers. Hence, this paper presents the original research work of identification and modeling of barriers associated with LSS implementation in SMEs through hybrid ISM-SEM approach.

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