Analyzing the barriers to implementation of mass customization in Indian SMEs using integrated ISM-MICMAC and SEM

Ullah, Inayat; Narain, Rakesh

doi:10.1108/jamr-04-2020-0048

Cited by 16 publications

(14 citation statements)

References 91 publications

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“…Moreover, using an analytical hierarchical process (AHP) (e.g., or Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) (e.g., Jasiulewicz-Kaczmarek et al, 2021) besides the ISM-MICMAC to evaluate the importance of the identified criteria and factors have been designed by other scholars recently. Thirdly, many scholars have employed Structural Equation modelling (SEM) to validate the conceptual model emanated from the ISM-MICMAC approach (e.g., Khaba et al, 2020;Ullah & Narain, 2020).…”

Section: Quantitative Research Design: Micmac-ismmentioning

confidence: 99%

Context-specific micro-foundations and successful SME internationalisation in emerging markets: A mixed-method analysis of managerial resources and dynamic capabilities

Jafari‐Sadeghi

Mahdiraji

Bresciani

et al. 2021

Journal of Business Research

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Building on the resource-based view, this study aims to address the scant research on the context-specific microfoundations that impact on internationalisation of SMEs in emerging markets. Therefore, the paper explores managerial resources and dynamic capabilities in three categories of international networking, vision, and experience and competence. In this regard, we employ a mixed-method analysis and focus on Iran as representative of a low supportive institutional context for SME internationalisation belongs to emerging markets. Hence, in qualitative analysis, we utilise multiple case study and conduct ten interviews, which led to the identification of fourteen important managerial resources and capabilities. This is followed by expert-based decision-making approaches, taking advantage of interpretive structural modelling (ISM) and Matrix-based Multiplication Applied to a Classification (MICMAC), which contributed to investigation the relative function of identified factors as well as proposing a conceptual framework for the inter-and cross-relationships among explored drivers in three targeted categories and provides theoretical and practical suggestions.

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Section: Quantitative Research Design: Micmac-ismmentioning

confidence: 99%

Context-specific micro-foundations and successful SME internationalisation in emerging markets: A mixed-method analysis of managerial resources and dynamic capabilities

Jafari‐Sadeghi

Mahdiraji

Bresciani

et al. 2021

Journal of Business Research

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“…These selected barriers were renumbered and recoded from B (barrier) to BM (barrier for model). The use of the ISM technique is appropriate because the representation and interpretation of the interactions among 15 barriers (considerably large) require a well-established modeling approach [ 90 ].…”

Section: A Real-case Application Of the Proposed Modelmentioning

confidence: 99%

“…ISM model was developed by extracting the top 15 barriers from Table 5 because the increased variables may escalate the complexity of ISM methodology [49]. These selected barriers were [90]. ISM is a holistic social system engineering technique used to model multilevel hierarchical structural cross-domain relationships based on mathematical operations.…”

Section: Causal Model Of Barriersmentioning

confidence: 99%

Developing an interplay among the psychological barriers for the adoption of industry 4.0 phenomenon

et al. 2021

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This research aims to identify, rank, and create an interplay among the psychological barriers to adopting Industry 4.0 technologies in the manufacturing sector. A comprehensive literature review tracked by a discussion with industry and academic experts recognized 20 barriers. Based on three widely acclaimed statistical techniques, hybrid AHP-TOPSIS (Analytical Hierarchy Process-Technique for Order Performance by Similarity to Ideal Solution) and ISM (Interpretative Structural Modeling), critical psychological barriers have been investigated. A group of 8 experts from industry and academia with at least 10 years of experience was consulted for AHP and ISM techniques. Whereas TOPSIS was conducted by 443 operational-level users, including managers and supervisors of different functional areas of the manufacturing industry located in Pakistan. The findings reveal that ‘Fear of job losses’, ‘Fear of data loss/Risk of security breaches, ‘Lack of advanced & continued education of employees’ and ‘Lack of standards and reference architecture’, with highest importance weights, emerged as the most prominent psychological barriers in developing economies. Then the interrelations among these barriers resulted in a four-layered structural model. The driver barriers identified in the final model advocate that development in ‘advanced & continued education of employees’, ‘standards & reference architecture’ and ‘minimization of fear of job & data loss’ can expedite the adoption of industry 4.0 (i4.0) technologies. The study uniquely develops hierarchical relationships among the psychological barriers for adopting i4.0 in the manufacturing context using AHP-TOPSIS and ISM techniques. The study would be valuable for practitioners, decision-makers and companies that wish to focus their efforts and resources on removing the most critical barriers and challenges for the seamless implementation of Industry 4.0.

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“…According to Ullah and Narain( 2021 ), an initial digraph, containing transitive links, was constructed using the information from the final reachability matrix and level partitioning (Fig. 1 ).…”

Section: Results and Data Analysismentioning

confidence: 99%

Analysis of key factors influencing individual financial well-being using ISM and MICMAC approach

2022

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A growing complexity in the financial world has attracted the interest of academicians and policymakers to examine the financial planning and well-being of individuals. This study attempts to explore the individual level determinants for improving financial well-being. Based upon the literature review, key enablers of individual financial well-being were identified which were then finalized by incorporating expert suggestions. Pursuant to this, six levels hierarchical structure was developed with the application of interpretive structural modeling (ISM) technique. Next, Matriced'ImpactsCroises Multiplication Appliques a un Classement (MICMAC) analysis was applied to determine the dependence and driving power of the identified variables. Our findings demonstrate that socio-economic factors and financial socialization are placed at the bottom level in the ISM hierarchy and all of them are also found to have the highest driving power under the MICMAC classification. On the other hand, healthy financial behaviors emerge on the top level and have the highest dependence power. The results of the study can provide valuable insights to financial educators and policymakers in terms of a better understanding of individual level enablers and their interrelationships. The knowledge of the importance of each enabler can enhance their capability to formulate improved strategies focused on securing the financial future of individuals. The concern of living a financially secured life is growing in a world full of economic uncertainties. Individual differences play a vital role in achieving a higher level of financial well-being. This study is one of the preliminary attempts to identify the individual level factors and rank them according to importance.

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Analyzing the barriers to implementation of mass customization in Indian SMEs using integrated ISM-MICMAC and SEM

Cited by 16 publications

References 91 publications

Context-specific micro-foundations and successful SME internationalisation in emerging markets: A mixed-method analysis of managerial resources and dynamic capabilities

Context-specific micro-foundations and successful SME internationalisation in emerging markets: A mixed-method analysis of managerial resources and dynamic capabilities

Developing an interplay among the psychological barriers for the adoption of industry 4.0 phenomenon

Analysis of key factors influencing individual financial well-being using ISM and MICMAC approach

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