A comparative study of project risk management with risk breakdown structure (rbs): a case of commercial construction in india
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Authors: Bepari, Muzammil; Narkhede, Balkrishna E.; Raut, Rakesh D.
Year: 2024 | IIM Mumbai
Source: International Journal of Construction Management DOI: 10.1080/15623599.2022.2124657
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The construction industry deals with the growing complexity and dynamism exposed to numerous and interdependent risks which, evolve throughout the project. In most risk management processes, risk identification forms a long list or matrix, which it difficult in identifying more influenced risks. Pre...(Read Full Abstract)
The construction industry deals with the growing complexity and dynamism exposed to numerous and interdependent risks which, evolve throughout the project. In most risk management processes, risk identification forms a long list or matrix, which it difficult in identifying more influenced risks. Preparing a risk list or risk matrix in the identification process has become inadequate for prioritizing risks. The construction industry is classified as commercial, industrial, and residential; identifying and managing the project risk for them on a common platform is difficult. In the present work risk breakdown structure (rbs) tool is used for the brief, clear identification of risks by interviewing and brainstorming with the experts involved in three commercial construction projects. It provides a means for grouping all possible individual project risks into risk categories (rc), linked by father/son relations, and risk events (re) form the hierarchy. Further, analyzed to find the impact on the three main pillars of sustainability: environmental, financial, and social. The plotted results are further structured with the analytical hierarchy process (ahp) and found the global weight of each rc's. The method is applied to illustrate the principle of process and highlights risk identification and its assessment in the indian commercial construction industry.
A glimpse of the future sustainable digital omnichannel retailing emerges - a systematic literature review
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Authors: Vhatkar, Manjunath S.; Raut, Rakesh D.; Gokhale, Ravindra; Cheikhrouhou, Naoufel; Akarte, Milind
Year: 2024 | IIM Mumbai
Source: Journal of Cleaner Production DOI: 10.1016/j.jclepro.2024.141111
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With an emphasis on digitalization, distribution, logistics, and transportation, omnichannel retailing is essential in supply chain management (scm). With this retailing strategy, sustainability and profitability in e -commerce may be addressed in a creative and cooperative manner. This article exam...(Read Full Abstract)
With an emphasis on digitalization, distribution, logistics, and transportation, omnichannel retailing is essential in supply chain management (scm). With this retailing strategy, sustainability and profitability in e -commerce may be addressed in a creative and cooperative manner. This article examines the relationship between digitization and omnichannel retail and highlights sustainability concerns. The articles from wos and scopus between 2017 and october 2023 are included in the study. After excluding conference papers, journals not listed by the abdc, and non-english publications, the 400 articles first found via a keyword search were reduced to 99. Using a range of criteria, including publication year, journal, nation, abdc category, citations, and research methods, the content analysis of the chosen articles is part of the systematic literature review. This classification makes it possible to compare things, which shows how digitization and omnichannel retailing can help with sustainability. The results show a few studies relating sustainability with omnichannel retailing. While statistical modelling is used in omnichannel retailing to address consumer satisfaction, game theory modelling is commonly used for price decisions. Nevertheless, a few literature address environmental issues with theory and coordinated strategy. To address sustainability concerns and further our understanding of the relationship between digitization, sustainability, and omnichannel retailing, this analysis proposes interesting directions for future research.
A holonic architecture for the supply chain performance in industry 4.0 context
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Authors: Zekhnini, Kamar; Cherrafi, Anass; Bouhaddou, Imane; Benabdellah, Abla Chaouni; Raut, Rakesh
Year: 2024 | IIM Mumbai
Source: International Journal of Logistics-research and Applications DOI: 10.1080/13675567.2021.1999912
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This paper aims to address in-depth the state of the art of current literature relating to digital supply chain management. A set of 100 papers deduced from the most relevant scientific databases from 2005 to 2020 has been analyzed and synthesised. The analysis and evaluation of these papers have en...(Read Full Abstract)
This paper aims to address in-depth the state of the art of current literature relating to digital supply chain management. A set of 100 papers deduced from the most relevant scientific databases from 2005 to 2020 has been analyzed and synthesised. The analysis and evaluation of these papers have enabled identifying the difference between traditional and digital supply chains, the emerging technologies' impact on supply chain performance, and the current state of digital supply chain management using the swot matrix. Besides, it provides a holonic roadmap framework for future study. This work's originality lies in the holonic architecture considering the digital supply chain's hierarchy multiscale and multilevel (business strategies). This holonic architecture supports supply chain performance under the industry 4.0 ecosystem by considering strategic, tactical, and operational strategies. Therefore, the developed framework helps to enable the necessary transition towards the achievement of digital supply chain performance based on the holonic architecture. The proposed study is beneficial for both practitioners and academics as it describes the critical aspects of the supply chain transformation and represents a solid background that outlines the necessity of incorporating a strategical viewpoint for digital supply chains adoption.
A life cycle analysis-based comprehensive study on municipal solid waste management: a case study of central india
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Authors: Mandpe, Ashootosh; Bhattacharya, Ayushman; Gedam, Vidyadhar V.; Paliya, Sonam; Hussain, Athar; Kumar, Sunil
Year: 2024 | IIM Mumbai
Source: Environment Development and Sustainability DOI: 10.1007/s10668-023-03548-8
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Municipal solid waste management (mswm) is an exigent and emerging problem in india. Despite various mswm options, landfill continues to be the ultimate disposal destination of solid waste leading to ecosystem damage and leachate generation. The appropriate mswm options and landfill leachate treatme...(Read Full Abstract)
Municipal solid waste management (mswm) is an exigent and emerging problem in india. Despite various mswm options, landfill continues to be the ultimate disposal destination of solid waste leading to ecosystem damage and leachate generation. The appropriate mswm options and landfill leachate treatment become a matter of great apprehension to avoid negative impacts on the surrounding environment. In the present study, three lca-based potential scenarios of systematic solid waste management, including anaerobic digestion, composting and landfilling, were analyzed and compared. The life cycle assessment (lca) model was created in the gabi 17.00 software for analyzing the impact of every steps involved in the mswm system. Further, the study also focuses on leachate management of the bhandewadi landfill site, situated in nagpur city, india, using five different types of adsorbents, viz. Rice husk, granular activated charcoal, powdered activated charcoal, compost and fly ash. Among the different scenario's analyzed and various impact categories studied, the lca of all the three scenarios highlights that the global warming potential and human toxicity potential of scenario one is comparatively lower than other scenarios. Further, the adsorbents used in the study have potential for the removal of containments. The diffusion profile analysis of leachate through different types of adsorbents used revealed that the chemical oxygen demand removal efficiency enhances with thickness of the adsorbent. The study emphasized that it is crucial for decision-makers associated with waste management sector to focus on environment friendly mswm approaches. It is also recommended that the decision and policymakers adhere and follow the stringent implementation of laws and regulations associated to the mswm system.
A multisectoral systematic literature review of digital twins in supply chain management
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Authors: Kapil, Devarshi; Raut, Rakesh; Nayal, Kirti; Kumar, Mukesh; Akarte, Milind M.
Year: 2024 | IIM Mumbai
Source: Benchmarking-an International Journal DOI: 10.1108/BIJ-04-2024-0286
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Purpose the study aims to provide a comprehensive review of digital twin (dt) literature and examine how various industrial sectors utilize the potential of dt. Design/methodology/approach this study's systematic literature review (slr) and bibliometric analysis focus on utilizing dt in the supply c...(Read Full Abstract)
Purpose the study aims to provide a comprehensive review of digital twin (dt) literature and examine how various industrial sectors utilize the potential of dt. Design/methodology/approach this study's systematic literature review (slr) and bibliometric analysis focus on utilizing dt in the supply chain (sc) and its applications across various industries between 2017 and 2024. The use of dt for information management and risk management in scm, which have been investigated in many sectors, is the primary focus of this article. The article also examines the various digital technologies used in digital twin literature. Findings the following are the main conclusions drawn from the research on digital twins and their implementation: digital twins have been studied to improve visibility, traceability, resilience, risk identification and assessment, information sharing and decision-making in sc of various sectors. According to the literature review, most research was conducted in the manufacturing industry. Also, the integration of dt with digital technologies (like ai, bd, ai, ml and cps) in sc has been explored less. Originality/value a multisectoral examination has been done to identify any needs or requirements and unknown areas of study and make recommendations for future directions for study on the interface between sc and dt.
A narrative literature review on optimization of manufacturing processes using weighted aggregated sum product assessment (waspas) method
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Authors: Chakraborty, Santonab; Raut, Rakesh D.; Rofin, T. M.; Chakraborty, Shankar
Year: 2024 | IIM Mumbai
Source: Opsearch DOI: 10.1007/s12597-024-00858-x
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In the present industrial era, manufacturing has become the primary process of converting the raw materials into finished items while fulfilling the customers' requirements of low cost and better quality. Based on the working principles, manufacturing processes have several variations, like machinin...(Read Full Abstract)
In the present industrial era, manufacturing has become the primary process of converting the raw materials into finished items while fulfilling the customers' requirements of low cost and better quality. Based on the working principles, manufacturing processes have several variations, like machining (conventional as well as non-conventional), forming, forging, casting, moulding, joining, additive manufacturing etc. To achieve the desired product characteristics, each of the manufacturing processes must be operated while setting the corresponding input parameters at their optimal levels. Since last few years, weighted aggregated sum product assessment (waspas) has appeared as one of the potent multi-criteria decision making tools having uncomplicated computational steps for manufacturing processes optimization. This paper reviews 45 research articles dealing with applications of waspas method in optimizing some of the manufacturing processes. It is observed that turning has been maximally optimized using waspas, followed by abrasive jet/abrasive water jet machining process. The researchers have preferred to determine the corresponding criteria weights using entropy method. This paper also provides information with respect to experimental design plan employed, material machined, input parameters and responses considered, and other mathematical tools acknowledged for comparative analysis. Finally, some future research directions are proposed.
A novel coexistent resilience index to evaluate the supply chain resilience of industries using fuzzy logic
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Authors: Narassima, M. S.; Gedam, Vidyadhar; Gunasekaran, Angappa; Anbuudayasankar, S. P.; Dwarakanath, M.
Year: 2024 | IIM Mumbai
Source: Supply Chain Management-an International Journal DOI: 10.1108/SCM-05-2023-0218
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Purposethis study aims to explore supply chain resilience (scr) and provides a unique resilience index. The work measures the resilience status of 37 organizations across 22 industries and provides insight into accessing the supply chain (sc) vulnerability in an uncertain environment.Design/methodol...(Read Full Abstract)
Purposethis study aims to explore supply chain resilience (scr) and provides a unique resilience index. The work measures the resilience status of 37 organizations across 22 industries and provides insight into accessing the supply chain (sc) vulnerability in an uncertain environment.Design/methodology/approachthis study involves measuring the resilience status of 37 organizations across 22 industries based on a subjective decision-making approach using fuzzy logic. Experts from industries rated the importance and level of implementation of 33 attributes of scr, which are used to develop a fuzzy index of implementation that explains the resilience status of organizations.Findingsa novel coexistent resilience index is computed based on mutualism to exhibit the proportion of contribution or learning of each attribute of an organization in an industry. The research will enhance the response plans and formation of strategic alliances for mutual coexistence by industry.Research limitations/implicationsevidence-based interpretations and suggestions are provided for each industry to enhance resilience through coexistence.Originality/valuethe work uniquely contributes to academic literature and sc strategy. The novel coexistent resilience index is computed based on mutualism, facilitating researchers to access sc resiliency.
A systematic literature review and bibliometrics using visualization of similarities for patternless sand mold and core production
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Authors: Patil, Yogesh; Akarte, Milind; Karunakaran, K. P.; Patel, Ashik Kumar; Mittal, Yash G.; Gote, Gopal Dnyanba; Mehta, Avinash Kumar; Ely, Ronald; Shinde, Jitendra
Year: 2024 | IIM Mumbai
Source: Rapid Prototyping Journal DOI: 10.1108/RPJ-12-2023-0434
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Purpose - integrating additive manufacturing (am) tools in traditional mold-making provides complex yet affordable sand molds and cores. Am processes such as selective laser sintering (sls) and binder jetting three-dimensional printing (bj3dp) are widely used for patternless sand mold and core produ...(Read Full Abstract)
Purpose - integrating additive manufacturing (am) tools in traditional mold-making provides complex yet affordable sand molds and cores. Am processes such as selective laser sintering (sls) and binder jetting three-dimensional printing (bj3dp) are widely used for patternless sand mold and core production. This study aims to perform an in-depth literature review to understand the current status, determine research gaps and propose future research directions. In addition, obtain valuable insights into authors, organizations, countries, keywords, documents, sources and cited references, sources and authors. Design/methodology/approach - this study followed the systematic literature review (slr) to gather relevant rapid sand casting (rsc) documents via scopus, web of science and ebsco databases. Furthermore, bibliometrics was performed via the visualization of similarities (vosviewer) software. Findings - an evaluation of 116 documents focused primarily on commercial am setups and process optimization of the sls. Process optimization studies the effects of am processes, their input parameters, scanning approaches, sand types and the integration of computer-aided design in am on the properties of sample. The authors performed detailed bibliometrics of 80 out of 120 documents via vosviewer software. Research limitations/implications - this review focuses primarily on the sls am process. Originality/value - a slr and bibliometrics using vosviewer software for patternless sand mold and core production via the am process.
Acceptance of location-based advertising by young consumers: a stimulus-organism-response (s-o-r) model perspective
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Authors: Kini, Ranjan B.; Bolar, Kartikeya; Rofin, T. M.; Mukherjee, Sayan; Bhattacharjee, Soumyajit
Year: 2024 | IIM Mumbai
Source: Information Systems Management DOI: 10.1080/10580530.2023.2214843
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This study examines the influence of permission, trust, relevance, and context factors on the acceptance of location-based advertising in india using the stimuli-organism-response (s-o-r) model. The survey responses (n=459) are collected in india using simulated situations. The analysis indicates th...(Read Full Abstract)
This study examines the influence of permission, trust, relevance, and context factors on the acceptance of location-based advertising in india using the stimuli-organism-response (s-o-r) model. The survey responses (n=459) are collected in india using simulated situations. The analysis indicates that newer concepts relating to permission and trust are of low priority, but relevance and context play a significant role in the acceptance. The implications of the findings for retailers and other professionals are discussed.
Additive manufacturing service bureau selection: a bayesian network integrated framework
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Authors: Ghuge, Sagar; Akarte, Milind
Year: 2024 | IIM Mumbai
Source: International Journal of Production Economics DOI: 10.1016/j.ijpe.2024.109348
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Additive manufacturing service bureaus (amsbs) are crucial for enabling manufacturing organizations to leverage the benefits of additive manufacturing (am) technology, such as on-demand manufacturing, production speed, etc., all while eliminating the expense of maintaining inventories. Consequently,...(Read Full Abstract)
Additive manufacturing service bureaus (amsbs) are crucial for enabling manufacturing organizations to leverage the benefits of additive manufacturing (am) technology, such as on-demand manufacturing, production speed, etc., all while eliminating the expense of maintaining inventories. Consequently, many organizations favor amsbs for expertise, cost efficiency, and access to diverse equipment, materials, and post-processing, reducing the necessity for substantial in-house investments. While researchers have explored evolving business models and the types of am services offered by amsbs to some extent, there is a noticeable research gap in selecting the most compatible amsb for specific customer requirements, which this research would like to address. Initially, this research identifies various types of services offered by amsbs, classifying them into eight groups: generative, evaluative, explorative, facilitative, constructive, decisive, selective, and assistive. Then, a knowledge-based expert system is introduced to select a suitable type of am service. Further, 101 amsb selection criteria are identified and grouped into criteria and sub-criteria by incorporating insights from literature and experts. Then, 26 pertinent criteria were shortlisted through delphi. Neutrosophic best-worst method is then utilized to quantify criteria weights. Finally, a bayesian network is used to calculate the selection probability of each amsb, identifying the amsb with the highest probability as the most compatible. The robustness of this framework is validated through sensitivity analysis. The practical effectiveness of the framework was demonstrated through a case study involving ferro oil-tech india private limited. The analysis of the results provided valuable managerial insights and suggested ways to enhance the business competitiveness of the organization.
Adoption of robust business analytics for product innovation and organizational performance: the mediating role of organizational data-driven culture
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Authors: Chaudhuri, Ranjan; Chatterjee, Sheshadri; Vrontis, Demetris; Thrassou, Alkis
Year: 2024 | IIM Mumbai
Source: Annals of Operations Research DOI: 10.1007/s10479-021-04407-3
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In the present digital environment, a data-driven organizational culture has become a vital emerging driver of organizational growth. This data-driven culture has assumed an advanced shape due to adoption of artificial intelligence (ai) integrated business analytics tools in the organization. Data-d...(Read Full Abstract)
In the present digital environment, a data-driven organizational culture has become a vital emerging driver of organizational growth. This data-driven culture has assumed an advanced shape due to adoption of artificial intelligence (ai) integrated business analytics tools in the organization. Data-driven culture in the organization could considerably impact product innovation strategy as well as organizational process alteration. In this context, the aim of this study is to investigate how an organization's data-driven culture impacts process performance and product innovation that led to enhanced organizational overall performance and higher business value. Methodologically, supported by relevant extant literature and inputs from the resource-based view and dynamic capability theories (organizational context), a conceptual model and a set of hypotheses are initially developed. These are subsequently statistically validated through a survey involving 513 usable responses from employees of different organizations using business analytics tools embedded with ai capability. The findings demonstrate that an organizational data-driven culture has considerable moderating impact on product innovation and process improvement, which ultimately enhance business value through improved organizational overall performance.
Advancing the digital frontier in agri-food supply chains
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Authors: Jagtap, Sandeep; Raut, Rakesh; Dani, Samir
Year: 2024 | IIM Mumbai
Source: International Journal of Food Science and Technology DOI: 10.1111/ijfs.17091
Access Type: Green
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Agriculture supply chain risks and covid-19: mitigation strategies and implications for the practitioners
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Authors: Sharma, Rohit; Shishodia, Anjali; Kamble, Sachin; Gunasekaran, Angappa; Belhadi, Amine
Year: 2024 | IIM Mumbai
Source: International Journal of Logistics-research and Applications DOI: 10.1080/13675567.2020.1830049
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The agricultural supply chains (ascs) are exposed to unprecedented risks following covid-19. It is necessary to investigate the impact of risks and to create resilient asc organisations. In this study, we have identified and assessed the asc risks caused by disruptions. These threats were assessed u...(Read Full Abstract)
The agricultural supply chains (ascs) are exposed to unprecedented risks following covid-19. It is necessary to investigate the impact of risks and to create resilient asc organisations. In this study, we have identified and assessed the asc risks caused by disruptions. These threats were assessed using fuzzy linguistic quantifier order weighted aggregation (flq-owa). The findings reveal that supply risks, demand risks, financial risks, logistics and infrastructure risks, management and operational, policy and regulation, and biological and environmental risks have a significant impact in asc depending upon the organisations scope and scale. Various strategies such as adoption of industry 4.0 technologies, supply chain collaboration and shared responsibility is identified for sustainable future. Theoretical and managerial implications are provided based on the outcomes of the study.
All about social coupons! Evolution, review and research directions
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Authors: Ram, Pappu Kalyan; Pandey, Neeraj; Paul, Justin
Year: 2024 | IIM Mumbai
Source: Marketing Intelligence & Planning DOI: 10.1108/MIP-07-2023-0369
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Purpose a novel phenomenon in product and service promotions, social coupons facilitate group buying at lower prices, bringing key benefits to customers, merchants and coupon aggregators. This study maps the evolution and innovations in social couponing, identifies knowledge gaps in the domain and s...(Read Full Abstract)
Purpose a novel phenomenon in product and service promotions, social coupons facilitate group buying at lower prices, bringing key benefits to customers, merchants and coupon aggregators. This study maps the evolution and innovations in social couponing, identifies knowledge gaps in the domain and sets the future research agenda.Design/methodology/approach through a detailed systematic literature review and bibliometric analysis, this study maps the evolution of social coupons over time. The analysis examines social coupon research by studying research outputs by authors, institutes, countries and research themes. It also explores how the social couponing phenomenon has benefited the three key stakeholders: customers, merchants and coupon aggregators.Findings an innovation in couponing, social coupons are discount coupons that feature group buying, pre-purchase and daily deals. Based on the extensive review of extant literature, the study proposes a conceptual model for the social couponing process. The study also provides inputs for future research on social coupons and delineates their academic and managerial implications.Originality/value this study makes a pioneering endeavor to comprehensively map the knowledge structure of social coupons from multiple dimensions.
An integrated g-macont approach for healthcare supplier selection
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Authors: Chakraborty, Santonab; Raut, Rakesh D.; Rofin, T. M.; Chakraborty, Shankar
Year: 2024 | IIM Mumbai
Source: Grey Systems-theory and Application DOI: 10.1108/GS-07-2023-0068
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Purposesupplier selection along with continuous evaluation of their performance is a crucial activity in healthcare supply chain management for effective utilization of scarce resources while providing quality service at an affordable price, and minimizing chances of stock-out, avoiding serious cons...(Read Full Abstract)
Purposesupplier selection along with continuous evaluation of their performance is a crucial activity in healthcare supply chain management for effective utilization of scarce resources while providing quality service at an affordable price, and minimizing chances of stock-out, avoiding serious consequences on the illness or fatality of the patients. Presence of both qualitative and quantitative evaluation criteria, set of potential suppliers and participation of different stakeholders with varying interest make healthcare supplier selection a challenging task which can be effectively solved using any of the multi-criteria decision making (mcdm) methods.Design/methodology/approachto deal with various qualitative criteria, like cost, quality, delivery performance, reliability, responsiveness and flexibility, this paper proposes integration of grey system theory with a newly developed mcdm tool, I.E. Mixed aggregation by comprehensive normalization technique (macont) to identify the best performing supplier for pharmaceutical items in a healthcare unit from a pool of six competing alternatives based on the opinions of three healthcare professionals.Findingswhile assessing importance of the six evaluation criteria and performance of the alternative healthcare suppliers against those criteria using grey numbers, and exploring use of three normalization procedures and two aggregation operations of macont method, this integrated approach singles out s5 as the most compromised healthcare supplier for the considered problem. A sensitivity analysis of its ranking performance against varying values of both balance parameters and preference parameters also validates its solution accuracy and robustness.Originality/valuethis integrated approach can thus efficiently solve healthcare supplier selection problems based on qualitative evaluation criteria in uncertain group decision making environment. It can also be deployed to deal with other decision making problems in the healthcare sector, like supplier selection for healthcare devices, performance evaluation of healthcare units, ranking of physicians etc.
An integrated mcdm-ml approach for predicting the carbon neutrality index in manufacturing supply chains
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Authors: Dohale, Vishwas; Kamble, Sachin; Ambilkar, Priya; Gold, Stefan; Belhadi, Amine
Year: 2024 | IIM Mumbai
Source: Technological Forecasting and Social Change DOI: 10.1016/j.techfore.2024.123243
Access Type: Hybrid
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Organizations across the globe are devising novel approaches to strive for carbon neutrality. Global institutions have manifested the critical need to develop reasonable strategies in every sector to mitigate the impending issues of excessive anthropogenic carbon emission and, in consequence, climat...(Read Full Abstract)
Organizations across the globe are devising novel approaches to strive for carbon neutrality. Global institutions have manifested the critical need to develop reasonable strategies in every sector to mitigate the impending issues of excessive anthropogenic carbon emission and, in consequence, climate change. World-leading economies have initiated significant steps by developing zero-carbon emission policies to monitor the escalating carbon emissions to curb global warming. The clothing industry has a substantial carbon footprint while causing environmental pollution. Based on transition management theory, this study aims to explore and evaluate the critical determinants that can assist in pursuing carbon neutrality in the clothing industry. A decision support system comprising an integrated voting analytical hierarchy process (vahp) and bayesian network (bn) method fulfills our purpose. Pertinent literature is reviewed to determine the critical determinants for carbon neutrality (cds-cn). After that, the vahp method is employed to prioritize the cds-cn. Further, the influence of cds-cn on achieving carbon neutrality is modeled using a bn, predicting the carbon neutrality index (cni) for the clothing industry. The findings reveal that professional expertise, laws and certifications, technological acceptance, availability of decarbonizing methods, and adequate carbon offsetting are the essential cds-cn. This research extends the existing knowledge on integrating mcdm-ml techniques to address predictive modelling-based problems involving complex structures. Simultaneously, the present study helps practitioners and policymakers understand the key cds-cn to successfully build and manage a carbon-neutral clothing industry by adopting the suggested strategies. Finally, recommendations concerning sustainable development goals (sdgs) are provided to achieve carbon-neutral manufacturing supply chains.
Analysis of the challenges for blockchain technology adoption in the indian health-care sector
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Authors: Dhingra, Sarthak; Raut, Rakesh; Gunasekaran, Angappa; Naik, B. Koteswara Rao; Masuna, Venkateshwarlu
Year: 2024 | IIM Mumbai
Source: Journal of Modelling in Management DOI: 10.1108/JM2-09-2022-0229
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Purposethis paper aims to discover and analyze the challenges hampering blockchain technology's (bt's) implementation in the indian health-care sector. A total of 18 challenges have been prioritized and modeled based on an extensive literature search and professional views. Design/methodology/approa...(Read Full Abstract)
Purposethis paper aims to discover and analyze the challenges hampering blockchain technology's (bt's) implementation in the indian health-care sector. A total of 18 challenges have been prioritized and modeled based on an extensive literature search and professional views. Design/methodology/approachan integrated multi-criteria decision-making approach has been used in two phases. Best worst method (bwm) is used in the first phase to prioritize the challenges with sensitivity analysis to validate the findings and eliminate a few challenges. In the second phase, interpretive structural modeling is applied to the remaining 15 challenges to obtain relative relationships among them with cross-impact matrix multiplication applied to classification analysis for their categorization. Findingsthe study's results reveal that limited knowledge and expertise, cost and risk involved, technical issues, lack of clear regulations, resistance to change and lack of top management support are the top-ranked or high-intensity challenges according to the bwm. Interpretive structural modelling findings suggest that the lack of government initiatives has been driving other challenges with the highest driving power. Research limitations/implicationsthis work has been conducted in the indian context, so careful generalization of the results is needed. Practical implicationsthis work will give health-care stakeholders a better perspective regarding blockchain's adoption. It will help health-care stakeholders, service providers, researchers and policymakers get a glimpse of the strategies for eradicating mentioned challenges. The analysis will help reduce the challenges' impact on blockchain's adoption in the indian health-care sector. Originality/valuethe adoption of bt is a novel concept, especially in developing countries such as india. This is one of the few works addressing the challenges to bt adoption in the indian health-care sector.
Analyzing the barriers to building a 3-d printing enabled local medical supply chain ecosystem
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Authors: Kamble, Sachin; Belhadi, Amine; Gupta, Shivam; Islam, Najmul; Verma, Virendra Kumar; Solima, Ludovico
Year: 2024 | IIM Mumbai
Source: Ieee Transactions on Engineering Management DOI: 10.1109/TEM.2022.3226658
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Building a local supply chain requires separating the regions and creating alliances with local partners and customers, resulting in a new business model. In local supply chains, the factory procures material, parts, and preassembled elements from local suppliers and sells the final products to loca...(Read Full Abstract)
Building a local supply chain requires separating the regions and creating alliances with local partners and customers, resulting in a new business model. In local supply chains, the factory procures material, parts, and preassembled elements from local suppliers and sells the final products to local customers. Three-dimensional printing (3dp) has the potential to enable a more local, globally connected, and efficient supply chain through reduced inventory and transportation costs transforming the make-to-stock to the make-on-demand production cycle. In this study, we use an integrated interpretive structural model and decision-making trial and evaluation laboratory technique to explore and assess the challenges faced by the 3dp companies to become enabling partners in the localized supply chains. The scope of the study, which was limited to 3dp of medical parts and components, identified that regulatory compliance, stringent quality standards, and lack of design expertise are significant barriers to developing localized three-dimensional printing ecosystems. Furthermore, the study identified immediate support from the local government, the high collaboration between the stakeholders, and the need for change in business approach as the key drivers for developing 3dp-enabled localized supply chain ecosystems.
Antecedents and consequence of frugal and responsible innovation in asia: through the lens of organization capabilities and culture
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Authors: Chatterjee, Sheshadri; Chaudhuri, Ranjan; Vrontis, Demetris
Year: 2024 | IIM Mumbai
Source: Asia Pacific Journal of Management DOI: 10.1007/s10490-021-09797-3
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Organizations ensure responsible innovation through collaborative management. Asian organizations adopt resource-constrained innovation, being one form of frugal innovation, and responsible innovation. Also, asian organizations are influenced by culture, such as jugaad, on developing innovation capa...(Read Full Abstract)
Organizations ensure responsible innovation through collaborative management. Asian organizations adopt resource-constrained innovation, being one form of frugal innovation, and responsible innovation. Also, asian organizations are influenced by culture, such as jugaad, on developing innovation capability. Few research studies have focused on the antecedents and consequences of resource-constrained innovation and responsible innovation from asian organizations' capability and culture perspective. With this background, the purpose of this study is to determine the antecedents and consequences of frugal innovation and responsible innovation of asian organizations. With consideration of the extant literature and theories such as dynamic capability view and neo-institutional theory, a conceptual model has been developed. The conceptual model has been validated using partial least squares structural equation modeling technique with the help of survey data collected from asian countries. The research study finds that knowledge management capability, bricolage capability, and collaborative capability impact organizations' resource-constrained innovation and responsible innovation. Also, the study finds that jugaad culture has a significant impact on innovation and organization performance.
Assessing feasibility of sewage sludge composting in rotary drum reactor
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Authors: Singh, Anju; Sawant, Megha; Herlekar, Mihir; Aymerich, Enrique; Starkl, Markus
Year: 2024 | IIM Mumbai
Source: Bioresource Technology DOI: 10.1016/j.biortech.2023.130219
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In a year-long study, the efficacy of a manually operated rotary drum prototype, jointly developed by ceit spain and iim mumbai, was examined for sanitized compost production in indian conditions. The prototype, a 200-liter horizontal plastic drum made of high-density polyethylene, incorporated a pe...(Read Full Abstract)
In a year-long study, the efficacy of a manually operated rotary drum prototype, jointly developed by ceit spain and iim mumbai, was examined for sanitized compost production in indian conditions. The prototype, a 200-liter horizontal plastic drum made of high-density polyethylene, incorporated a perforated polypropylene pipe for passive aeration of the composting mixture. Focused on optimizing composting of sewage sludge from a municipal mbbr, the research targeted key process variables in the rotary drum reactor to attain the thermophilic phase. Wood shavings emerged as the optimal bulking agent, with a mixing ratio of three parts dewatered sewage sludge to one-part bulking agent. A turning frequency of every 12 h proved optimal for achieving the desired temperature of around 60 degrees c. The study concluded that the final sludge quality met prescribed standards, showcasing the viability of the rotary drum system for efficient compost production in indian settings.