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The main objective of this paper is to justify the implementation of blockchain (BC) over the traditional method deployed in the supply chain (SC) after using the fuzzy–analytic network process (fuzzy-ANP) application. Over the past two decades, the overall product cost is affected by the SC at a global level. Organizations are working on their existing SC for improving their performance. BC technology is a newly emerging technology and magnetizes the attention of researchers and industrialists. This technology is still at the initial stage, and only little investigation is available in the literature and it has not been much investigated by researchers.

Literature and expert opinion interpretation in BC characteristics are further analyzed and modeled using fuzzy–interpretive structural modeling (fuzzy-ISM), fuzzy-MICMAC and fuzzy-ANP. The combined approach of both fuzzy-ISM and fuzzy-MICMAC is applied to identify the common drivers to integrate the BC technology in the light of efficient supply chain management (SCM).

Comparative analysis between traditional and BC-based supply chain (BCSC) using fuzzy-ANP is carried out, considering the common driving characteristics. The proposed integrated (combined) approach of fuzzy-ISM, fuzzy-MICMAC and Fuzzy-ANP found that integration of BC with SCM is better prioritized than traditional supply chain management (TSCM). The findings in the article endorse that the TSCM can be made efficient by integrating the BC technology considering five most driving characteristics, namely, data safety and decentralization, accessibility, documentation, data management and quality.

The current proposed research work identifies 12 characteristics after studying numerous literature reviews and having a discussion with SC experts with knowledge of BC. The integrated approach of fuzzy-ISM and fuzzy-MICMAC is implemented here. After that, fuzzy-ANP is used to give ranking among BCSCM and TSCM. The study carried out in this article motivates industries to implement BC in their SC system. It will reduce the transaction cost, documentation work, save time and eliminate human error at the national and international levels. The common characteristics identified in this proposed work would help in managerial decisions for the adoption of BC to ensure that the system becomes more transparent, easily traceable and finally improve the performance.

The purpose of this study is to recognize critical barriers for Lean manufacturing practices implementation in small and medium enterprises (SMEs) focusing in the context of a developing economy. The advancement of SMEs is of utmost important for a surge in exports while competing with other countries and these barriers have to be given due importance as they play a major role in stalling the overall development of SMEs.

In this present investigation, 26 barriers to Lean implementation in SMEs have been identified after an extensive study of the literature available on the subject. After that, the influential barriers were investigated through the Analytical hierarchy process-Technique of order preference by similarity to ideal solution (AHP-TOPSIS) method using priority weightage given to them by different experts in their industries. The ranking given to the barriers is based on the AHP-TOPSIS method and has been validated by the sensitivity analysis.

The investigation reveals that for the successful implementation of Lean manufacturing practices, the will of the management, individual will power and contribution of the people matter a lot apart from other barriers such as flexibility, expertise of the people, resources and resistance offered by the people to new programs. The solutions for overcoming these barriers are also provided in this study and a model has been suggested for the same.

This work was devoted to the evaluation of obstacles in the introduction of Lean practices and prioritizing them. But it was limited to the medium- and small-scale organizations located in Northern India. Further studies can expand the scope to the large-scale units in the field. Moreover, the scope of this study was confined to the manufacturing sector. Future studies can extend it to the non-manufacturing environments such as the service sector, health care, etc. This investigation was based on the judgments of industry experts and academicians. Another approach such as Viekriterijumsko kompromisno rangiranje can be used for future investigations.

This study is significant when keeping in mind the contribution of SMEs to a country’s economy, especially in the Indian context.

This study initially aims to identify the barriers to the big data analytics (BDA) initiative and further evaluates the barriers for knowing their interrelations and priority in improving the performance of manufacturing firms.

A total of 15 barriers to BDA adoption were identified through literature review and expert opinions. Data were collected from three types of industries: automotive, machine tools and electronics manufacturers in India. The grey-decision-making trial and evaluation laboratory (DEMATEL) method was employed to explore the cause–effect relationship amongst barriers. Further, the barrier's influences were outranked and cross-validated through analytic network process (ANP).

The results showed that “lack of data storage facility”, “lack of IT infrastructure”, “lack of organisational strategy” and “uncertain about benefits and long terms usage” were most common barriers to adopt BDA practices in all three industries.

The findings of the study can assist service providers, industrial managers and government organisations in understanding the barriers and subsequently evaluating interrelationships and ranks of barriers in the successful adoption of BDA in a manufacturing organisation context.

The paper is one of the initial efforts in evaluating the barriers to BDA in improving the performance of manufacturing firms in India.

This paper intends to explore and appraise the humanitarian supply chain management enablers (HSCMEs) for efficient and effective humanitarian operations. This research aims to analyze the interaction of enablers for humanitarian supply chain management (HSCM) using a proposed hybrid framework consists of fuzzy Delphi (FD), interpretive structural modeling (ISM)–matriced impacts croises multiplication appliquee a un classement (MICMAC) and revised Simos approach.

This research is deliberate to identify 28 HSCMEs through a literature review and experts' opinions; out of which 20 HSCMEs are selected using FD. ISM is applied to know contextual relationship among the selected HSCMEs for developing a hierarchical model. The MICMAC analysis classifies the HSCMEs based on driving power and dependence power to validate the developed hierarchical ISM structure. The revised Simos technique is used to prioritize the HSCMEs to access its relative significance in humanitarian operations.

The finding of the analysis suggests that government policy and leadership support obtained the highest priority, having high driving power and low dependence power is significantly strategic and emerged as the leading driver for the HSCM implementation.

ISM model presents an insight into interrelationship among HSCMEs, but this cannot quantify the impact of each HSCMEs.

Disaster relief aid agencies and stakeholders may focus on the enablers having high driving power and higher weight in designing and executing an effective and efficient humanitarian supply chain and to improve their activities and strategies of HSCM.

This research helps humanitarian logisticians and humanitarian organizations to make better decisions to improve their operational performance in pre and postdisaster phases.

This paper explores the application of proposed hybrid framework to analyze the HSCMEs that can be considered as the original contribution.

This paper aims to evaluate and prioritize the key supplier selection indicators and to establish the relationship between available alternatives and selected indicators by using step-wise weight assessment ratio analysis (SWARA) and weighted aggregated sum product assessment (WASPAS).

Authors have extracted the supplier selection criteria from literature and used a combined SWARA-WASPAS method to evaluate and rank the criteria’s. SWARA is applied for evaluating and weighting selection criteria, whereas WASPAS helped in evaluating different available alternatives based on supplier selection indicators.

Finding from SWARA suggests that supplier management is the high weighted criteria followed by information sharing and joint actions. WASPAS was used to evaluate the available alternatives and supplier A1 got the highest priority. Additionally, sensitivity analysis indicates the different scenarios for the best supplier selection.

Working executives can use the SWARA for assessment of weights of finalized indicators for their firm in the cement industry. Further, the calculated weights can be used for product and sum weightage through WASPAS to finalize the best supplier.

The originality of the manuscript lies in the sector and methodology. Author(s) applied the SWARA and WASPAS method for supplier selection in the Indian cement industry that will help working executives to evaluate their supply chain partners.

This study aims to find the symmetries and conservation laws of a new Painlevé integrable Broer-Kaup (BK) system with variable coefficients. This system is an extension of dispersive long wave equations. As the system is generalized and new, it is essential to explore some of its possible aspects such as conservation laws, symmetries, Painleve integrability, etc.

This paper opted for an exploratory study of a new Painleve integrable BK system with variable coefficients. Some analytic solutions are obtained by Lie classical method. Then the conservation laws are derived by multiplier method.

This paper presents a complete set of point symmetries without any restrictions on choices of coefficients, which subsequently yield analytic solutions of the series and solitary waves. Next, the authors derive every admitted non-trivial conservation law that emerges from multipliers.

The authors have found that the considered system is likely to be integrable. So some other aspects such as Lax pair integrability, solitonic behavior and Backlund transformation can be analyzed to check the complete integrability further.

The authors develop a time-dependent Painleve integrable long water wave system. The model represents more specific data than the constant system. The authors presented analytic solutions and conservation laws.

The new time-dependent Painleve integrable long water wave system features some interesting results on symmetries and conservation laws.

Sustainable supply chain management (SSCM) is a relatively new sub-field of supply chain management (SCM). The performance of SSCM is based on the triple bottom line approach encompassing people-planet-profit, hence being defined not in only in social and environmental terms, but also the economic. The purpose of this paper is to develop an integrated study which uses antecedent-practices-performance principles in order to determine the drivers of SSCM practices, and the impact of these practices on sustainable supply chain performance. The importance of the study lies in the fact that the Indian Government is making significant efforts to boost the manufacturing sector, and sustainability is among the significant imperatives for Indian manufacturing to be competitive globally.

A conceptual model based on the antecedents-practices-performance principles was developed, and included six constructs identified from the literature: the drivers being the motivators of sustainability, lean management (LM) and supply management (SM), the practices were the environmental and social practices in the supply chain and, finally, the sustainable supply chain performance; eight hypotheses were conceived in the model development process. The survey instrument was conceptualised from an in-depth study of literature and was employed to conduct a survey of 211 operations and supply chain managers and functional heads from the Indian manufacturing industry. The scales were validated by employing the confirmatory factor analysis, followed by structural equation modelling to develop the structural relationships between the constructs using Amos 20.0.

The results of the SEM suggest that the antecedents, i.e. motivators, LM and SM, have a significant bearing on environmental and social practices in the SCM; these practices, in turn, also have a positive relationship with SSCM performance (except the relationship between LM and social practices in SCM) with acceptable goodness-of-fit measures. Thus out of the eight hypotheses, seven can be said to statistically significant.

In addition to the motivators of sustainability, the study based on extant literature has considered LM and SM among the drivers of sustainability in SCM. The study has also identified that in earlier studies, the focus has been on environmental practices, and this integrated study has also included social practices in the supply chain.

This study suggests that sustainability performance may also be realised through lean and SM principles; an integrated perspective has been adopted with the consideration of both environmental and social practices. Further, the proposed model represents a novel integration of literature from diverse domains such as environmental management, business ethics and corporate social responsibility as well as performance management.

The purpose of this paper is to investigate the impact of total quality management (TQM) and supply chain management (SCM) practices on operational performance, and their interlinkage between each other.

Constructs those are critical to pharmaceutical quality and supply chain have been identified with the help of literature and experts from industry. The impact of TQM practices on supply chain practices and on operational performance has been evaluated. Similarly, the impact of supply chain practices on operational performance has been evaluated. Further, alternate models are tested and evaluated through structural equation modeling.

It was observed during testing of alternate models that TQM practices have a direct impact on operational performance. However, TQM practices also directly impact supply chain components, which, in turn, influence overall operational performance. In comparison of alternate models, the model in which TQM practices affect supply chain practices and supply chain practices further affect the operational performance is found most appropriate.

This study provides some useful implications from industry point of view. TQM practices are critical to pharmaceutical industry. TQM practices are the core of attaining a smooth supply chain, which will have greater impact to achieve operational performance. Strategic supplier partnership, procurement management, information sharing, and quality and inventory management practices are driven by TQM practices. This tri-linkage helps to achieve the desired operational performance.

There are very limited studies that have considered both the areas together to achieve better operational performance. In pharmaceutical industry, both TQM and SCM are the critical areas for any organization to drive its growth.

The purpose of this paper is to investigate the impingement of lean manufacturing practices (LMPs) in small and medium enterprises (SMEs) of Northern India and their relationship with firm performance. This paper makes an attempt to identify the lean practices, which are more beneficial and their impact on firm performance.

In this study, a qualitative survey of 183 Northern India SMEs is collected and analysed using correlation, regression, canonical analysis and ANOVA test are conducted for developing relationships between them.

The outcome of this study indicates that the embracement of lean is necessary for their survival in this competitive spirit. Lean practices helped the SMEs to cope up with the persistent stress given by the spirited market. From the data investigation, it is revealed that total productive maintenance, supplier management, just-in-time and five S practices enhance the firm performance. Other practices such as plant management practices, operational and people practices found in a lesser extent than previous ones. From the correlation, it is revealed that lean practices have a strong relationship with firm performance. In one-way ANOVA test results indicating that the number of firms, which are less in the initial stage of lean implementation and much more impressive in a transition stage.

The chosen approach for this research study was the cross-sectional one limited to the northern region of India and the investigated variables.

This study will help the stakeholders and manufacturers to enhance the performance of firms using LMPs, especially in a developing country. From these findings, practitioners and academicians would focus on vital issues related to firm enhancement apart from operational measures.

This study is one of the first attempts in which relation is developed between LMPs and firm performance and further data are investigated using canonical cross loadings and ANOVA analysis.

The purpose of this paper is to investigate the effects of different information sources on consumer health behavior during pandemics.

We collected survey data from 321 adults in a large western US city during November 2009 by mall and street intercepts. We analyzed their beliefs, attitudes and intentions with regard to adoption of the H1N1 (swine flu) vaccine. We developed and tested two alternative models on the role of mass media and personal information sources on the attitude towards the disease and the intention to get vaccinated.

Our study finds that mass media and personal sources of information simultaneously impact perceived threat from disease (attitude) and the intention to get vaccinated during a global pandemic. Personal information sources are more effective than mass media sources in impacting both attitude and intention. While the impact of mass media weakens from the attitude stage to the intention stage, the impact of personal information sources increases from the attitude stage to the intention stage.

The contribution of this paper to health policy makers and marketers is to draw implications on how mass media and personal information sources could be better utilized to counter future global pandemics.