Understanding complex relationship among JIT, lean behaviour, TQM and their antecedents using interpretive structural modelling and fuzzy MICMAC analysis

2015 ◽  
Vol 27 (1) ◽  
pp. 42-62 ◽  
Author(s):  
Rameshwar Dubey ◽  
Tripti Singh
Keyword(s):  
Lean Manufacturing ◽  
Business Performance ◽  
Complex Relationship ◽  
Management Support ◽  
Structural Modelling ◽  
Content Type ◽  
Top Management Support ◽  
Extant Literature ◽  
Micmac Analysis ◽  
Fuzzy Micmac

Purpose – The purpose of this paper is to understand possible linkage between variables that constitute a lean manufacturing enterprise. In the study the authors have tried to decode the complex relationship among variables which is missing in extant literature. Design/methodology/approach – In the study the authors have used systematic literature review (SLR) approach to identify the variables from extant literature and used interpretive structural modelling (ISM) and Fuzzy MICMAC analysis to understand complex equation among variables from Indian manufacturing firm perspective. Findings – The findings using ISM modeling indicate top management support is the bottom level and business performance is the top level. In order to further resolve conflicts the authors have further analyzed variables using Fuzzy MICMAC analysis which has further divided variables into four clusters. The Fuzzy MICMAC output suggests that top management support, real time production information, training and team work are the driving variables and business performance, total quality management and lean behavior are the dependence variables. Research limitations/implications – Like any study, the study have its own limitations. In the study the authors have developed the model based on expert opinion. The number may be not enough to validate this model statistically. However, it can be regarded as a platform for further investigation using structural equation modeling. Originality/value – The present study using ISM model has proposed a model based upon experts, identified from Indian major manufacturing firms. This model can further provide empirical platform for further investigation which can resolve lean manufacturing issues.

Application of interpretive structural modelling for analysis of lean adoption barriers in heavy industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Aadithya B.G. ◽  
Asokan P. ◽  
S. Vinodh
Keyword(s):  
Structural Model ◽  
Matrix Multiplication ◽  
Interaction Matrix ◽  
Management Support ◽  
Structural Modelling ◽  
Content Type ◽  
Interpretive Structural Modelling ◽  
Top Management Support ◽  
Micmac Analysis ◽  
Practical Implications

Purpose The purpose of the paper is to depict a study on analysis of barriers to lean adoption in fabrication industry using interpretive structural modelling (ISM). Design/methodology/approach From the literature review, 22 barriers to lean adoption in fabrication industry have been recognized . Self-structure interaction matrix has been developed based on expert opinion. Computational steps of ISM are being done to develop the structural model. cross-impact matrix multiplication applied to classification (MICMAC) analysis is being done to group the barriers into four types. Findings Based on the study, it has been found that “lack of knowledge about lean (philosophy, principles, tools)”, “lack of top management support and commitment” and “poor leadership” are found to be the principal barriers. MICMAC analysis indicated that number of driving, dependent, linkage and autonomous barriers are 9, 8, 4 and 1, respectively. Practical implications The study has been executed based on the inputs from industrial practitioners and hence the inferences are found to have practical relevance. Originality/value The study is an attempt to analyze the barriers for lean concepts adoption in fabrication kind of industry.

E-procurement in small and medium sized enterprises; facilitators, obstacles and effect on performance

2019 ◽  
Vol 27 (2) ◽  
pp. 839-866
Author(s):  
Cristóbal Sánchez-Rodríguez ◽  
Angel Rafael Martínez-Lorente ◽  
David Hemsworth
Keyword(s):  
Business Performance ◽  
Design Methodology ◽  
Top Management ◽  
Process Performance ◽  
Management Support ◽  
Content Type ◽  
Procurement Process ◽  
Top Management Support ◽  
Strategic Purchasing ◽  
Practical Implications

Purpose The purpose of this paper is to analyze e-procurement in small and medium-sized enterprises (SMEs) and its relationship with top management support, IT obstacles and strategic purchasing and the effect of e-procurement on performance (procurement performance and business performance). Design/methodology/approach The hypotheses were tested using a sample of 199 managers from SMEs in manufacturing. Findings The results indicated a significant relationship between e-procurement in SMEs and top management support, IT obstacles and strategic purchasing. Similarly, the authors found a positive relationship between e-procurement and procurement process performance and business performance. Practical implications The findings stress to SME managers, the need to pay attention to top management support, IT obstacles and strategic purchasing when implementing e-procurement. Similarly, it provides evidence of the benefits of e-procurement on procurement process performance and business performance. Originality/value This study fills a gap in the literature regarding e-procurement in SMEs and its impact on performance. SMEs constitute a significant part of today’s economies and e-procurement can significantly impact the performance of these organizations.

Relationships between intra-organizational resources, supply chain integration and business performance

2014 ◽  
Vol 114 (8) ◽  
pp. 1186-1206 ◽  
Author(s):  
Dehui Xu ◽  
Baofeng Huo ◽  
Linyan Sun
Keyword(s):  
Supply Chain ◽  
Business Performance ◽  
Supply Chain Integration ◽  
Organizational Capabilities ◽  
Management Support ◽  
Organizational Resources ◽  
Resource Based View ◽  
Content Type ◽  
Top Management Support ◽  
Supplier Integration

Purpose – The purpose of this paper is to explore the effects of intra-organizational resources, including top management support (TMS) and information technology (IT), on inter-organizational capabilities including supply chain integration (SCI, with a focus on supplier integration (SI) and customer integration (CI)) and on business performance via a resource-based view (RBV), socio-technical systems theory and an extended resource-based view (ERBV). Design/methodology/approach – Partial least squares is used to analyze a sample of 176 manufacturers in China. Findings – TMS and IT are two vital enablers of SCI and have different roles in improving SCI. In addition, SI has a significant effect on business performance, and CI has a marginally significant effect. Originality/value – Based on the RBV/ERBV, this study explores the enablers of SCI and their effects on business performance, ultimately contributing to both SCI theories and practices.

Interdependency analysis of lean manufacturing practices in case of Bulgarian SMEs: interpretive structural modelling and interpretive ranking modelling approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sarita Prasad ◽  
Milen Baltov ◽  
Neelakanteswara Rao A. ◽  
Krishnanand Lanka
Keyword(s):  
Lean Manufacturing ◽  
Real Life ◽  
Successful Implementation ◽  
Structural Modelling ◽  
Content Type ◽  
Interpretive Structural Modelling ◽  
Performance Variables ◽  
Micmac Analysis ◽  
The Relationship ◽  
Modelling Approach

Purpose The paper aims to analyse the contextual relationship and dependency amongst enablers for lean manufacturing implementation in Bulgarian small and medium-sized enterprises (SMEs). Design/methodology/approach In this study, the interpretive structural modelling (ISM) technique was used to develop a hierarchical structural model for enablers. Also, the interpretive ranking process (IRP) was used to analyse and rank enablers with reference to performance variables. For the ISM approach, a structural self- integration matrix was developed with the help of experts’ suggestions and opinions. Cross-impact matrix multiplication applied to classification (MICMAC) analysis was used to analyse the relationship amongst enablers. A total of nine experts were chosen for collecting the primary data in which seven experts belong to the industry and two experts were academicians. The dominant relationship amongst the enablers was analysed through IRP modelling. Findings A total of 11 enablers were identified for the purpose of this study. The model shows that “leadership and commitment by management”, “human resource management”, “customer relation management”, “supplier relation management” and “information technology system” are the most significant enablers for lean implementation in Bulgarian SMEs as these are positioned at the bottom levels in ISM model. MICMAC analysis shows that five enablers fall in the independent factor, two enablers in linkage factor and four enablers in the dependant factor while there is no enabler in the autonomous factor. ISM and IRP models show that “continuous improvement” is an essential enabler for the successful implementation of lean in Bulgarian SMEs. This study also helps to explain the comparative analysis of ISM and IRP, which indicates that IRP is a more robust modelling approach than ISM, as it incorporates the relationship of enablers with performance variables. Research limitations/implications ISM and IRP modelling approaches are based solely on expert opinions and responses. This limitation can be overcome with the help of empirical study. Practical implications This study supports the professionals/experts to prioritise and manage enablers at strategic and tactical levels while implementing lean manufacturing practices in Bulgarian SMEs. The models developed in the study will be helpful for practitioners to understand and analyse the interdependence of enablers for lean manufacturing implementation. Originality/value This study helps to identify and prioritise enablers that affect lean manufacturing adoption using ISM and IRP approaches. Literature shows that numerous authors have used the ISM approach but the use of IRP approach is limited. The models were developed in the study, totally dependent on data collected from the experts to ensure their real-life validity.

Developing human resource for the digitization of logistics operations: readiness index framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anchal Gupta ◽  
Rajesh Kr Singh ◽  
Shivam Gupta
Keyword(s):  
Fuzzy Ahp ◽  
Organizational Factors ◽  
Organization Culture ◽  
Management Support ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Top Management Support ◽  
Logistics Company ◽  
The Right ◽  
Hierarchy Process

PurposeThe purpose of this study is to identify factors that are important for logistics organizations from the perspective of manpower readiness for digitization of logistics operations. The study also prioritizes the identified factors and also evaluates the readiness index of manpower for the digitalization of logistics processes.Design/methodology/approachThe factors for manpower readiness are identified through literature review and analysis of a case study. Three major categories of factors are identified. These are organizational, behavioural and technological factors. Under these three major categories of factors, 18 sub-factors are identified. Thereafter, with experts' inputs, the factors are prioritized using Fuzzy analytic hierarchy process (AHP). Further, a case illustration of an Indian logistics company has been taken to understand the current processes, technical capabilities, manpower skills and organization culture. After the case analysis and expert inputs, the manpower readiness index has been evaluated by using graph theory matrix approach (GTMA).FindingsThe prioritization of manpower readiness factors has been done using Fuzzy AHP. Organizational factors are found to be the most important factors which require quick attention. Sub-factors that are most important for building competencies in the logistics sector are providing the right training on functional skill development (0.129), top management support and commitment for digitalization (0.117), and organizational culture for process digitalization (0.114), etc. Finally, framework for evaluation of manpower readiness index for logistics operations in the digital age has been illustrated for a case company.Practical implicationsIndian logistics companies can benchmark their readiness index with respect to the best in the industry. Based on the readiness index, logistics companies can analyse their position, gaps from best and worst and can also identify potential areas for improvement.Originality/valueThe novelty of the study lies in the development of a framework for manpower readiness for digitalization in the logistics sector. In literature, this field is very less researched and provides the scope for developing strategies for improving manpower competencies for Industry 4.0. Logistics companies can improve their performance by making their manpower ready based on results obtained for readiness index.

scholarly journals Is e-marketing a source of sustainable business performance? Predicting the role of top management support with various interaction factors

2018 ◽  
Vol 5 (1) ◽  
pp. 1516487 ◽  
Author(s):  
Adnan Ahmed Sheikh ◽  
Naeem Ahmad Rana ◽  
Aneeq Inam ◽  
Arfan Shahzad ◽  
Hayat Muhammad Awan ◽  
...  
Keyword(s):  
Business Performance ◽  
Top Management ◽  
Management Support ◽  
Sustainable Business ◽  
Top Management Support ◽  
Interaction Factors

Managing top management support in complex information systems projects

2017 ◽  
Vol 19 (1/2) ◽  
pp. 151-164 ◽  
Author(s):  
Salvador Bueno ◽  
M. Dolores Gallego
Keyword(s):  
Information Systems ◽  
Organizational Communication ◽  
Enterprise Resource Planning ◽  
Resource Planning ◽  
End Users ◽  
Top Management ◽  
Management Support ◽  
Content Type ◽  
Top Management Support ◽  
And Training

Purpose Top management support (TMS) is considered as a critical factor for the success of information systems (ISs) projects. The literature shows that TMS has a positive impact on achieving success in ISs’ projects in different aspects. However, the enabling factors for TMS in complex ISs’ projects have barely been tested, something which this study aims to rectify. Design/methodology/approach This study has designed a research model based on structural equation modelling (SEM) with the intention of analysing the perception of IS end users regarding the effect on TMS of the following factors: technological complexity and training and organizational communication. The application of the study has focused on an enterprise resource planning–open source software (ERP-OSS) environment. Findings The findings show how end users have a perception that organizational communication and training have a positive relation with TMS. Based on these findings, the authors have suggested several practical considerations. Research limitations/implications There are two limitations to this study. First, this study is based on the perception of complex IS/IT users. It would be interesting to add the perception of top managers to provide more solid findings. The second limitation is that this study has not suggested any additional potential factors which could affect TMS. Practical implications First, this article provides a study of the key role of TMS when an organization needs to implement a complex IS/IT. Second, organizations must develop mechanisms for increasing training and communication relating to the new complex IS/IT projects. Finally, the complexity of an IS/IT project does not constitute an enabling factor incentivizing TMS and should therefore not be a determining factor in increasing TMS within an organization selecting an IS/IT. Originality/value This study contributes to advancing theory in the field of TMS in information systems projects.

Top management support and knowledge sharing: the strategic role of affiliation and trust in academic environment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Man Fung Lo ◽  
Feng Tian ◽  
Peggy Mei Lan Ng
Keyword(s):  
Knowledge Sharing ◽  
Positive Impact ◽  
Top Management ◽  
Management Support ◽  
Research Model ◽  
Content Type ◽  
Top Management Support ◽  
Mediating Role ◽  
Knowledge Intensive Organizations ◽  
Knowledge Intensive

Purpose Knowledge sharing, the most important process in knowledge management, enables knowledge-intensive organizations to foster innovations and to gain competitiveness. Universities, the best contemporary embodiments of knowledge-intensive organizations, nowadays face fiercer competition in the changing world. Knowledge sharing is the key for academic departments to gain competitive advantages through innovation. However, limited studies examined the relationships between top management support, knowledge sharing and affiliation and trust. Based on the literature review, this study developed a research model which aims to examine the relationship between top management support and knowledge sharing, and the mediating role played by affiliation and trust. Design/methodology/approach A questionnaire survey was conducted in eight universities in Hong Kong. Data gathered from 109 professoriate staff (including chairs, professors and [research] associate/assistant professors) were used to test the four hypotheses in the research model with partial least squares structural equation modeling. Findings The results showed that top management support has a positive impact on affiliation and trust, and that affiliation and trust also have a positive impact on knowledge sharing. However, this study showed an insignificant linkage between top management support and knowledge sharing. Therefore, this study confirmed the mediating role played by affiliation and trust. Practical implications Based on the results, this study provided recommendations on how academic management and knowledge management consultants increase the faculty members’ affiliation and trust, for instance, mentoring, performance appraisal system, social interactions and communication pathways. Originality/value The findings of this study contribute to the literature in two ways. First, affiliation and trust are two interplayed elements of team climate that should be considered together. Second, this study validates affiliation and trust as a full mediator between top management support and knowledge sharing.

scholarly journals Lean-excellence business management for manufacturing SMEs focusing on KRI

2019 ◽  
Vol 69 (3) ◽  
pp. 519-539 ◽  
Author(s):  
Ibrahim Salih Mohammad ◽  
Chike F. Oduoza
Keyword(s):  
Lean Manufacturing ◽  
Business Performance ◽  
Small Firms ◽  
Assessment Model ◽  
External Support ◽  
Self Assessment ◽  
Implementation Framework ◽  
Lean Implementation ◽  
Content Type ◽  
National Quality

Purpose The purpose of this paper is to develop an effective framework for implementing Lean strategies in small- and medium-sized enterprises (SMEs) in the Kurdistan Region of Iraq (KRI). Design/methodology/approach Based on the integration of LM tools and techniques with the Malcolm Baldrige National Quality Award (MBNQA) criteria a systematic Lean implementation framework for manufacturing SMEs has been proposed. The core values, drivers and tools of the proposed framework were further developed based on case studies in three SMEs in the KRI. Findings Proposed framework is able to provide a simple pathway for SMEs to systematically implement Lean techniques in seven functional areas in order to create Lean culture in the organisation. Business performance measurement in terms of profitability, customer satisfaction, employee’s satisfaction, competitiveness growth and ergonomic improvement is presented in favour of evaluating Lean outcomes appropriately. It also presents the experience of small firms in implementing Lean programmes to show that Lean is valid in SMEs. Research limitations/implications The framework concentrates only on the internal issues of the organisation, while external variables such as national culture and external support are excluded. Practical implications The framework assists improvements in SMEs that either initially attempt to start Lean journey or those that are at more advanced levels towards excellent-Lean manufacturing. The framework can also be used as a self-assessment model to determine the degree of Lean readiness. Originality/value To the best knowledge of the author, it is the first framework that integrates Lean techniques with MBNQA criteria to support Lean implementation in SMEs. It is also the first study regarding Lean-excellence in the KRI.

Lean manufacturing practices and performance: the role of social and technical factors

2019 ◽  
Vol 37 (5) ◽  
pp. 732-754 ◽  
Author(s):  
Saumyaranjan Sahoo
Keyword(s):  
Lean Manufacturing ◽  
Business Performance ◽  
Manufacturing Systems ◽  
Equation Modeling ◽  
Performance Parameters ◽  
Content Type ◽  
Lean Practices ◽  
The Social ◽  
And Performance ◽  
The Relationship

Purpose Modern manufacturing systems require tools and techniques that take cognizance of the social (concerning people and relations) as well as the technical environment. The purpose of this paper is to explore the relationship between the social and technical aspects of lean manufacturing practices and their effects on business performance outcomes. Design/methodology/approach The hypothesized relationships for this study are tested with data collected from 148 Indian manufacturing firms by using SPSS and AMOS statistical software. Findings The analysis of the study was conducted using structural equation modeling (SEM) technique, which indicated that both “soft” and “hard” lean practices are positively related to business performance parameters. The findings also demonstrated that “hard” lean practices fully mediate the relationship between “soft” lean practices and business performance parameters. Research limitations/implications There are some limitations of this study. Although a cross-sectional survey has been applied, the research does not permit us to account for the lag between implementation and performance. It also brings the opinion of a limited number of Indian experts about lean manufacturing systems; hence, the sample size could be increased and the nationality of the respondent could be expanded for future research. Practical implications The paper would be of interest to Lean practitioners, and the results of this study can be used in organizations to put a focus on social-cultural changes while applying lean technical tools when it comes to practices as well as importance. Originality/value This paper extends theoretical contribution in production and operations management literature, highlighting how social and technical practices have to interact to enable a successful lean manufacturing implementation.

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