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The purpose of this paper is to prioritize and establish relationships among the barriers that affect green, lean and Six Sigma (GLSS) implementation in the Indian construction sector.

A hierarchal model consisting of several levels is generated by the interpretive structural modelling (ISM) methodology. For establishing the priority weights and the ranking of the barriers, the relationships among barriers from the model in ISM are used to provide an output from the analytic network process (ANP). The 12 vital barriers that affect implementation of GLSS adoption were shortlisted from literature and then finalized in consultation with experts belonging from both industry and academia.

Based on the ISM model “Lack of awareness for green products, Lack of top management commitment and involvement as well as Lack of funds along with an improper estimation” are at the highest level. Similar results were found while ranking the barriers through ISM–ANP integration.

This study identified and prioritized the barriers that affect GLSS implementation using ISM–ANP approach, such a study has not been attempted previously for the construction sector. The ISM model and ANP ranks are based on the inputs gathered from experts and academicians so as to ensure practical validity. This approach is assists decision-makers to focus on the key barriers priority basis and enables them to implement GLSS smoothly.

Additive manufacturing (AM) is expected to significantly transform the operations in manufacturing sector. It is also proposed to have optimistic applications in the medical supply chains (SC). However, its adoption in medical sector is faced with a range of barriers. Motivated by the need to establish an AM-based medical SC in a developing economy, the present paper analyses the potential barriers that would hinder the adoption of AM in medical SC.

Based on an extensive literature review and expert discussions, 12 significant barriers have been identified, which are analysed using an integrated interpretive structural modelling–analytical network process (ISM–ANP) methodology. An interrelationship between these barriers using ISM has been analysed to determine the driving-dependence power of these barriers using MICMAC (Matrice d' Impacts Croises-Multiplication Applique' e a' Classement) analysis. The barriers are then ranked using the ANP approach.

It has been focussed that the non-availability of a variety of materials, lack of education and training to designers and workers and production technology limitation are the most critical barriers. The results suggest that the managers should give greater significance to the technological and organizational barriers.

An approach to overcome these barriers can help the managers and organizations to develop successful AM-based SCs. The study is the first to identify and analyse the barriers for successful adoption of AM in medical SC context.

The literature on Kaizen transferability to non-Japanese culture is still evolving. The results suggest that the relevant research is still at a descriptive and explanatory stage. This study aims to identify and prioritize the importance of significant Kaizen transferability factors in a non-Japanese culture.

A decision theory-based prescriptive analysis methodology was used to analyze identified Kaizen transferability success factors. Firstly, a list of Kaizen transferability factors was devised from the literature using a systematic literature review. Secondly, an integrated interpretative structure modeling and analytic network process approach were applied to generate preference among factors.

A framework with a prioritized Kaizen transferability success factors included, in ascending order, organization culture, employee participation, employee discipline, employee personal initiative, top management commitment, management enforcement, employee eagerness, management support and national culture and traditions.

Managers and decision-makers would better understand where to direct their effort and attention to implement the Kaizen management philosophy to improve firm-level productivity. Although the factors studied in this research considered the Indonesian context, the proposed framework could be replicated and extended to include other cultures.

The present work contributes to the limited studies and documentation on Kaizen activities' transferability challenges and the Kaizen body of knowledge in developing countries. This study should help organizations in other developing countries, assimilate how to adopt and manage the Kaizen philosophy implementation by following the framework created in this research.

This paper aims to clarify the resistance degree of group road logistics to flood disaster resilience. The paper measures the resilience of group road logistics by establishing network structure model. The purpose of this study is to improve the resilience of road log.

This paper adopts Delphi method to collect data, interviews mainly flood management experts and supply chain risk management experts, and then analyzes the data through the network structure model combined with interpretative structure model (ISM) and analytical network process (ANP).

The results show that flood frequency and drainage systems are the main factors affecting the resilience of road transport logistics in urban areas. These research results provide useful guidance for the effective planning and design of urban road construction and infrastructure.

However, the main factors affecting the resilience of road transport logistics are likely to change with the development of factors such as climate, economy and environment. Therefore, in future work, the authors' research will focus on the further application of this evaluation method.

The results show that the impact of flooding on the four dimensions of road logistics resilience varies. This shows that in deciding what intervention measures are to be taken to improve the resilience of the road network to flooding, various measures need to be considered.

This paper provides a more scientific analysis of the risk management ability of the road network in the face of floods. In addition, it also provides a useful reference for urban road planners.

This paper addresses a clear need to study how to build models to improve the resilience of road logistics in flood risk.

This paper aims to classify journal papers in the context of hybrid quality function deployment QFD and multi-criteria decision-making (MCDM) methods published during 2004–2021.

A conceptual classification scheme is presented to analyze the hybrid QFD-MCDM methods. Then some recommendations are given to introduce directions for future research.

The results show that among all related areas, the manufacturing application has the most frequency of published papers regarding hybrid QFD-MCDM methods. Moreover, using uncertainty to establish a hybrid QFD-MCDM the relevant papers have been considered during the time interval 2004–2021.

There are various shortcomings in conventional QFD which limit its efficiency and potential applications. Since 2004, when MCDM methods were frequently adopted in the quality management context, increasing attention has been drawn from both practical and academic perspectives. Recently, the integration of MCDM techniques into the QFD model has played an important role in designing new products and services, supplier selection, green manufacturing systems and sustainability topics. Hence, this survey reviewed hybrid QFD-MCDM methods during 2004–2021.

The purpose of this paper is to identify and model critical barriers to cloud computing adoption (CCA) in Indian MSMEs by the interpretive structural modeling (ISM) approach.

In this paper, through a literature survey and expert opinions, 14 critical barriers were identified, and the ISM tool was used to establish interrelationship among the identified barriers and to determine the key barriers having high driving power.

After analyzing the barriers, it was found that three barriers, namely, lack of confidentiality (B8), lack of top management support (B3) and lack of sharing and collaboration (B2) were most significant.

The developed model is based on the expert opinions, which may be biased, influencing the final output of the structural model. The research implications of the developed model are to help managers of the organization in the understanding significance of the barriers and to prioritize or eliminate the same for the effective CCA.

This study is for the first time an attempt that has been made to apply the ISM methodology to explore the interdependencies among the critical barriers for Indian MSMEs. This paper will guide the managers at various levels of an organization for effective implementation of the cloud computing practices.

This paper aims to select key criteria for sustainable vendor assessment and spare-parts supplies in the Indian petroleum refining sector using stochastic fuzzy technique for order of preference by similarity to ideal solution (SFTOPSIS).

The criteria for sustainable vendor evaluation and selection are identified from the review of the literature and further; it is finalized using the Delphi method. Eight supply chain (SC) experts from the Indian petro refining sector were identified as having more than five years of experience and agreed to participate in this study (known as decision-makers (DM)). Five vendors supplying spare-parts are shortlisted from the market with the discussion and consent of procurement experts from petroleum refineries. Subsequently, criteria and vendors are rated based on relative importance in linguistic terms from the group of eight DMs. As ratings involve uncertainties in the decision-making, the SFTOPSIS method is applied to determine criteria weight and vendor ranking at a distinct significance level (α). The ranking of the vendors is obtained for sustainable supply of spare-parts in the Indian petro refining sector using the SFTOPSIS method.

The ranking of sustainable vendors is obtained through the integrated application of the fuzzy and stochastic approach to capture the uncertainties in the ratings of DMs. The sensitivity analysis is carried out at distinct confidence limits of a normal distribution to obtain a robust ranking of the vendors. In this paper, a case application of SFTOPSIS in the Indian petro refining sector is presented in which key criteria and the vendor ranking are found to be changing with confidence limit for sustainable vendor evaluation.

The fuzziness and randomness in relative ratings collects from a group of DMs are taken in the proposed methodology. The distinct approaches are compared with changing significance-level under stochastic, fuzzy and deterministic TOPSIS to acquire robustness in the ranking. The proposed SFTOPSIS model can be useful to practitioners from the petroleum sector.

The originality of the paper contributes to an application of the SFTOPSIS method that is the extension of FTOPSIS in the petro refining sector of a developing country. The sensitivity analysis with distinct significance-level shows the uncertainties in the collected ratings from the DMs that supports robustness in the ranking. It might be helpful for SC professionals from the petro refining sector, who assess the rank of the vendors at different confidence limits for sustainable supply of spare-parts. Further research in the petroleum industry from emerging economies needs to be undertaken to broaden its scope and applicability.

The experts in industry and academicians value brand resonance is the prerequisite factor in the firms of financial services. In this regard, the purpose of this paper is to model the brand resonance score (BRS) for modified customer-based brand equity (CBBE) model in mutual fund financial services using structural equation modeling (SEM) and analytic network process (ANP).

Criteria and sub-criteria relative weights are calculated from the SEM and sub-sub-criteria relative weights are measured through pair-wise comparison matrix for BRS modeling using ANP approach.

The brand resonance using ANP has been quantified, and BRSs of each brand through brand judgments and brand feelings criteria are calculated using two renowned Indian mutual fund services brands State Bank of India and Hong Kong and Shanghai Banking Corporation.

Interdependency between sub-criteria are not explored. This research study is specific to Indian bank mutual fund services context.

Research findings provide useful guidelines for fund managers/analysts of mutual fund service firms to improve the brand resonance to investors.

The paper explained modeling BRS using ANP technique which helps organizations quantify the brand resonance effectively.

Livelihood interventions are recognized as instruments to deliver sustainable development by addressing multidimensional issues of poverty. Despite several interventions, success still remains trivial due to various interactive determinants. The purpose of this paper is to present the hierarchical model of determinants of rural livelihood interventions in India.

This study adopts interpretive structural modelling (ISM) approach to explore the interactive relationships among determinants. Then, by using the Matrice d’ Impacts Croises - Multipication Applique a classement (MICMAC) approach, these determinants are classified into four groups on the basis of their driving power and dependence power.

The research findings include identification of nine critical determinants using hybrid research process. These nine determinants are classified into four distinct levels revealing different extents of influence on livelihood outcomes. The results show that strong emphasis should be given to local institutions and enclosing institutional environment in terms of good governance and better convergence.

The research findings offer insights for policy-makers on the hierarchical model among determinants. The study will help to close the existing dominant gap between theory and practice and imply corresponding methods and processes to deliver better livelihood outcomes.

This study contributes to policy literature by providing a structural model for interventions. This model identifies the dominant as well as mediating determinants and thereby guides policymakers to develop corresponding instruments and strategies. The study also contributes to rural development literature by identifying various interactive contextual relationships and thereby classifying the high priority determinants.

The goal of this paper is to identify the main factors influencing mobile service adoption and define a universally applicable holistic concept capable of explaining all types of mobile service adoption that will be useful to all stakeholders.

A systematic method was used to identify and select relevant articles for appraisal and analysis of their data, as well as to summarize existing research in mobile service adoption studies.

After reviewing and analyzing the articles, 25 major variables were identified. According to the article analysis, usefulness and experience were identified as the primary motivators for adoption, and that negative barriers to adoption must be controlled in order to improve adoption. Demographics play a role in adoption and technology acceptance model (TAM) emerged as the most suitable model to study the variables affecting mobile service adoption.

The generic concept of mobile services adoption will help industry stakeholders and researchers to use a more focused approach to study and encourage adoption and use of mobile services. Empirical testing of the proposed concept is a limitation which can also be a future scope of the study.

The review provides a holistic mobile services adoption process which is able to define adoption for all kinds of mobile services and is universally applicable as well. The study presents potential implications and relevant insights in mobile services adoption and contributes to a better understanding of mobile service adoption process.