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Digital supply chains require nascent technologies like blockchain and Internet of Things (IoT). There is a need to develop a roadmap for the implementation of these technologies, as they require a huge amount of resources and infrastructure. The purpose of this paper is to analyze the challenges of implementing blockchain-IoT integrated architecture in the green supply chain and develop strategies for the same.

After a thorough literature survey of Scopus-indexed journals and books, 37 barriers were identified, which were then brought down to 15 barriers after confirming with industry and academic experts using the Delphi method. Using the total interpretive structural modeling (TISM) method and cross-impact matrix multiplication applied to classification (MICMAC) analysis, the barriers were modeled, and finally, strategies were formulated using a concept map to handle the barriers in the blockchain-IoT integrated architecture for a green supply chain.

This paper presents the research on barriers that can be considered for incorporating blockchain and IoT in the green supply chain. It was found from the TISM model that environmental concerns are Level-1 barriers and need to be addressed by developing appropriate technology and allocating funds for the same. An integrated ecosystem with blockchain and IoT is developed.

The focus of this study was on the challenges of blockchain and IoT; hence, it is required to extend the research and find challenges for different industries and also analyze the criteria using other multi-criteria decision-making (MCDM) methods. Further research is required for the integration of blockchain-IoT with supply chain functions.

The transformation of a traditional supply chain into a green supply chain is possible with the integration of technologies. This research work and the strategies developed are useful to managers and practitioners working on technology implementation. Planning resources and addressing key barriers is possible with the concept maps and architecture developed.

Green supply chain management (SCM) is gaining importance in industry as well as the academic sector due to government Policies and norms worldwide for reducing emissions and encouraging environment-friendly production systems. Incorporating blockchain and IoT in a green supply chain will further digitize and increase transparency in supply chains.

We have done a categorization of all barriers based on the expert survey by academicians and industry experts from industries in India. The concept map helps in identifying possible solutions for the challenges and initiatives to be taken for the smooth integration of technologies in the green supply chain.

Blockchain and IoT are recently developed technologies for the database creation and smooth functioning of supply chain activities. The purpose of this paper is to analyse the use of blockchain and IoT for green procurement activities. The integration of blockchain and IoT interface can solve many challenges faced by industries having green procurement.

Through a literature survey and interviews with procurement managers from different industries, challenges in green procurement were identified. Elements of blockchain and IoT were analysed to overcome the green procurement challenges. Architecture for blockchain and IoT is developed to be implemented in the green supply chain for a sustainable business.

The challenges of green procurement are categorised and ranked as per the industry survey results. The architecture shows the tasks of blockchain and IoT in green procurement activities.

Green procurement is still at developing stages in India as compared to Europe and many other countries. There is a requirement for more government involvement and participation from industry and customers to implement such methods. Environment issues and challenges faced by industries are addressed.

Blockchain–IoT integration can transform a green supply chain. This research helps industries planning to incorporate blockchain and IoT in identifying the areas to focus and better planning of resources for the successful implementation of smart technologies in their supply chains. Green initiatives ensure global competitiveness as well as recognition at the global level. Green procurement ensures the minimal usage of energy and efficient waste disposal.

The implementation of green procurement and challenges associated with it are addressed in this research. This will work as a framework for industries looking forward to implementing blockchain and IoT in their supply chains for solving green procurement challenges.

The purpose of this study is to investigate the best fleet for a new purchase based on multi-objective optimization on the basis of ratio (MOORA), reference point and multi-MOORA methods. This study further identifies critical parameters for fleet performance monitoring and exploring optimum range of critical parameters using Monte Carlo simulation. At the end of this study, fleet maintenance management and operations have been discussed in the perspectives of risk management.

Fleet categories and fleet performance monitoring parameters have been identified using the literature survey and Delphi method. Further, real-time data has been analyzed using MOORA, reference point and multi-MOORA methods. Taguchi and full factorial design of experiment (DOE) are used to investigate critical parameters for fleet performance monitoring.

Fleet performance monitoring is done based on fuel consumption (FC), CO₂ emission (CE), coolant temperature (CT), fleet rating, revenue generation (RG), fleet utilization, total weight and ambient temperature. MOORA, reference point and multi-MOORA methods suggested the common best alternative for a particular category of the fleet (compact, hatchback and sedan). FC and RG are the critical parameters for monitoring the fleet performance.

The geographical aspects have not been considered for this study.

A pilot run of 300 fleets shows saving of Rs. 2,611,013/- (US$36,264.065), which comprises total maintenance cost [Rs. 1,749,033/- (US$24,292.125)] and FC cost [Rs. 861,980/- (US$11,971.94)] annually.

Reduction in CE (4.83%) creates a positive impact on human health. The reduction in the breakdown maintenance of fleet improves the reliability of fleet services.

This study investigates the most useful parameters for fleet management are FC, CE, CT. Taguchi DOE and full factorial DOE have identified FC and RG as a most critical parameters for fleet health/performance monitoring.

The purpose of this paper is to identify the risks involved in the construction project based on a literature survey (LS), to develop a project risk management (PRM) framework based on Industry 4.0 technologies and to demonstrate the developed framework using Internet of Things (IoT) technology.

A comprehensive LS was carried out to know the different risks involved in the construction project and developed a PRM framework based on Industry 4.0 technologies to increase the effectiveness and efficiency of PRM. Heavy equipment and parameters were identified to demonstrate the developed framework based on IoT technology of Industry 4.0.

This paper demonstrates Industry 4.0 in the various stages of PRM. LS has identified 21 risks for a construction project. The demonstration of the PRM framework has identified the sudden breakdown of equipment and uncertainty of equipment as one of the critical risks associated with heavy equipment of construction project.

The project complexity and features may add a few more risks in PRM.

The PRM framework based on Industry 4.0 technologies will increase the success rate of the project. It will enhance the efficiency and effectiveness of PRM.

The developed framework is helpful for the effective PRM of construction projects. The demonstration of PRM framework using IoT technology provides a logical way to manage risk involved in heavy equipment used in a construction project.

Environmental sustainability has become a primary factor for organisations to compete globally. Stakeholders' involvement with necessary commitment at the right stage of supply chain management (SCM) plays a vital role in development of green supply chain. This paper aims to explore the involvement aspect of stakeholders towards greening of the supply chain. The purpose of this paper is to identify the critical success factors for stakeholder involvement in development of green supply chain and develop use cases for managers and practitioners planning to implement recent technologies to support stakeholders' involvement.

After a thorough literature survey and interviews with experts from industry and academia, the factors for involvement of stakeholders for greening the supply chain were identified. A survey-based research has been used to collect primary data for effective people involvement in development of green supply chain. The decision-making trial and evaluation laboratory method is used for ranking the critical success factors. Effective implementation of success factors using merits of blockchain and internet of things (IoT) technologies are discussed. Use cases are developed for practitioners for using a blockchain IoT-integrated architecture.

The results show that criterion C21 (cooperation with buyer for green initiatives) is the most important for green supply chain, and criterion C5 (global customers) has least effect on greening the supply chain. Involving stakeholders in the green product design ensures improved efficiency of the supply chain. Merits of technologies like blockchain and IoT may be reaped successfully for incorporating critical success factors to develop green supply chain.

The research can further be extended by developing the research model with hypothesis and conducting a survey for validation. Automobile industry use cases are considered for this research, and it may be further developed for different industry sectors like process industries, service, etc.

Managers can make use of these 22 critical success factors and capabilities of the blockchain IoT-integrated architecture to successfully involve stakeholders. Practitioners/managers can dramatically change SCM with respect to the response speed, accuracy of decision-making, data acquisition, data storage and data accessibility, transparency, trust-building, opportunity of participation, communication quality, freedom in payment based on blockchain IoT-integrated architecture. Preventing pollution and converting the enterprises into green and sustainable organisations have created lot of concerns worldwide. This research addresses the issue of green initiatives and the role of stakeholders in improving the green status of industry.

Though there is research on involving suppliers and customers in the supply chain activities, there is a significant delay in integrating human resource management in the supply chain. This research proposes integration of stakeholders using recent technologies for green supply chain. Use cases developed for the automobile industry gives path to future research in this domain.

The ability of an organization to observe varying demands and efficiently meet them can be described as agility. Project procurement management (PPM) in the past was stable as things did not change very often and were very predictable. Due to hyper-competition, less predictable market and exponential innovation, the existing PPM becomes very unstable which marks the requirement of an agile model to manage procurement projects effectively. The paper aims to discuss this issue.

For achieving the improvements, various barriers to improving agility in PPM were identified from the literature and experts’ review, followed by obtaining quantified impacts of identified barriers from the experts using the Delphi technique. Finally, interpretive structural modeling along with Matrice d’ Impacts Croises Multiplication Appliqué an Classement analysis was used to analyze the interactions among barriers to prioritize and strategize their mitigation.

As per the analysis, the lack of top management alignment and commitment, lack of digital strategy, lack of new technology competencies and inefficiencies of financial factors were the most critical barriers that would come across while improving agility in PPM for any organization. Industries should have a stable, well-established and supportive top management that has a vision for digital transformation along with upgrading the companies’ technology layer for automating most of the manual processes to have intelligent decision-making capability.

Industries need to be agile in their operations for being more competitive and responsive to the market. PPM being the most critical part of the entire value chain needs to be agile in the first place. The strategies developed as an output of this research can be utilized by industries for improving agility in their business processes.

The purposes of this research article are as follows: to explore the understanding of the Industry 4.0 (I4.0) concept among Indian manufacturing industries, to determine the motivating factors for I4.0 implementation, to identify I4.0 enabling technologies which are used by Indian manufacturing industries and assess their sustainability, to explore the impact of above identified enabling technologies on sustainability pillars, to determine how Indian manufacturing industries interpret the concept of I4.0 and to develop a road map for I4.0 implementation and sustainability.

To perform this research work, a dual research methodology was adopted. Questionnaires were sent to 16 Indian manufacturing industries, and expert interviews were conducted with seven experts who have been practicing the I4.0 concept since the last three years in their business. Also, a sustainability measurement tool was developed to measure the sustainability of the used I4.0 enabling technologies.

In this research article, it is found that smart sensors and robot arms have high sustainability, whereas cyber physical systems (CPSs) and big data analytics have low sustainability. During an expert interview, it has been found that adoption of the I4.0 concept in Indian manufacturing industries is creating job loss fear in employees. Also, it is found that Indian workers must be trained to adopt and sustain I4.0 enabling technologies.

The sustainability of I4.0 enabling technologies in Indian manufacturing industries was indicated by analyzing responses received through questionnaires and expert interviews. There are other measures of sustainability which are beyond this study. Further studies are expected to fill the gap.

The authors have explored reasons for low sustainability of I4.0 enabling technologies in Indian manufacturing industries, suggested a road map for its implementation and sustainability and identified the relationship between different parameters (such as job loss, job creation, workers’ qualification and business profit) and I4.0 sustainability, therefore helping Indian organizations to develop sustainable manufacturing systems based on the I4.0 concept.

This research article gives an idea about sustainability of I4.0 enabling technologies in Indian manufacturing industries.

The purpose of this paper model and prioritizes barriers to product development in medical device manufacturing industries using an integrated “structural equation modelling” (SEM) and “fuzzy technique for order performance by similarity to ideal solution” (FTOPSIS) framework.

Barriers to medical device development (MDD) are adopted from literature. The initial structural model is proposed, exploratory factor analysis and confirmatory factor analysis are used to determine factor loading and model fit, respectively. Further, FTOPSIS is used to rank the barriers and sensitivity analysis is carried to check the robustness of results. The results are discussed in detail and the recommendations to overcome the barriers are presented.

Barriers analysed and prioritized in this research significantly hinder the MDD. The expert survey is used to develop an initial structural equation model of barriers to MDD, find the reliability and validity of the model. Based on the opinion of the experts, the barriers are divided into three categories – internal, policy and induced barriers. FTOPSIS is applied to rank and prioritize the barriers based on views from these three classes of experts. More reliance on imported devices leading to increased imports (B11) and lack of uniform regulatory standards (B6) are found to have the highest rank together, indicating these to be the most important barriers from the perspective considered here. Sensitivity analysis indicates that the factors are less sensitive to the weights of criteria further confirming the reliability of the initial solution.

The prioritization of barriers may vary based upon experts. Policymakers, existing and new device developers need to give utmost importance to these barriers, which will help to accelerate the indigenous development of medical devices to overcome the present dependence on imports.

This paper demonstrates an integrated structural based modelling and prioritization technique for statistical modelling and prioritization of barriers to MDD. The results and recommendations will help policymakers and manufacturers to increase the indigenous share of medical devices. The integrated methodology can be effectively applied where the need for the combined quantitative and qualitative approach is there.

This paper demonstrates an effective structural based modelling and prioritization technique. It can be effectively applied in various fields, it will help policymakers and manufacturers to increase the indigenous share of medical devices.

The purpose of this paper is to outline and prioritizes risk sources in medical device development (MDD) process using an integrated “structural equation modeling” (SEM) and fuzzy “technique for order performance by similarity to ideal solution (TOPSIS)” framework.

Risk sources which deter MDD process are explored through literature review. Initial structural model is proposed, factor loadings are determined by exploratory factor analysis and model fit is established by confirmatory factor analysis. Further, the sources are ranked using FTOPSIS, and sensitivity analysis is carried to check robustness of results.

The sources of risks have catastrophic effect on MDD process. The initial SEM model developed based on survey of experts is found reliable and valid which breaks up the risk sources into three categories – internal sources of risks, user-related sources of risks and third-party-related sources of risks. The risk sources are ranked and prioritized based on perspective of experts from the categories using FTOPSIS; unmet user needs/requirements is found as the most important source of risk. Results of sensitivity analysis confirm that the factors are relatively less sensitive to criteria weights confirming reliability of initial solution.

The proposed methodology combines qualitative and quantative approaches, making it little complex and lengthy, but results in dual confirmation.

The outcomes of this research will be of prime use for MDD industries to mitigate risk sources. It will help to increase the success rate of MDD.

Integrated SEM-FTOPSIS provides a unique and effective structural modeling-based decision support tool. The framework can be effectively utilized in other domains, and failure events of medical devices can be potentially controlled by applying risk mitigation measures.

International projects very commonly experience failure due to various factors at the global level. Especially, large projects at the international level virtually have no chance of meeting scope, time, cost and quality. This fact has been underlined by most of the international surveys and published literature. Effective risk management plays a vital role in preventing projects from failure by implementing appropriate risk response strategies. The success of risk management will be based on the understanding of various risk categories which specifically affect international projects, analysis of their interdependence, prioritize them according to their importance and develop strategies for risk management based on the prioritization. The paper aims to discuss these issues.

This paper represents typical eight risk categories frequently observed in the international projects through literature survey and feedback from project professionals. Interpretive structural modeling (ISM) and Matrice d’Impacts croises-multiplication applique´ an classment (MICMAC) analysis have been used to analyze the interactions among the risk categories and prioritize them. The strategy management tool threats, opportunities, weaknesses and strengths (TOWS) matrix has been used to develop the strategies for effective project risk management.

The analysis represents political risks, contractual and legal risks, cultural risks, and financial and economic risks as the highest priority risk categories, the mitigation of which should be paid the highest attention. The strengths-threats strategy has been applied to develop the strategies by identifying the various internal strengths of project organization to overcome the various threats caused by the eight risk categories observed in international projects.

This paper tries to represent the prioritization of international project risk categories which are generic in nature. For any specific international project, the risk categories as well as their prioritization may be slightly varying. The tool used for prioritization; Interpretive structural modeling (ISM) is more suitable for few numbers of variables as it becomes complex as the number of variables increases. The strengths and threats considered for developing strategies using TOWS matrix are based on the feedback from project professionals and may vary according to the nature of project.

This paper uses ISM and MICMAC for risk prioritization in international projects and TOWS matrix for developing risk management strategies. This may trigger new opportunities for in-depth research in the risk management strategy development for international projects.