Sachin Agarwal, Ravi Kant and Ravi Shankar
This paper intends to explore and appraise the humanitarian supply chain management enablers (HSCMEs) for efficient and effective humanitarian operations. This research aims to…
Abstract
Purpose
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.
Design/methodology/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.
Findings
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.
Research limitations/implications
ISM model presents an insight into interrelationship among HSCMEs, but this cannot quantify the impact of each HSCMEs.
Practical implications
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.
Social implications
This research helps humanitarian logisticians and humanitarian organizations to make better decisions to improve their operational performance in pre and postdisaster phases.
Originality/value
This paper explores the application of proposed hybrid framework to analyze the HSCMEs that can be considered as the original contribution.
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Sachin Agarwal, Ravi Kant and Ravi Shankar
The purpose of this paper is to examine and compare extant framework in humanitarian supply chain management (HSCM) and to propose a framework on humanitarian supply chain (HSC…
Abstract
Purpose
The purpose of this paper is to examine and compare extant framework in humanitarian supply chain management (HSCM) and to propose a framework on humanitarian supply chain (HSC) performance measurement based on the content, context and process.
Design/methodology/approach
The structured keywords, namely humanitarian supply chain (HSC), humanitarian logistic (HL), humanitarian relief chain (HRC) and humanitarian chain (HC) as an exact phrase were searched in the title, abstract and keywords in the academic database. A total of 66 peer-reviewed articles were selected for analysis purpose that reports framework from the reviewed literature. These selected frameworks are categorized in dimensions, namely framework novelty, framework source, recognize elements/constructs of framework, comparative analysis of the framework and in-depth study of HSCM performance measurement.
Findings
The analysis reveals that the majority of these developed frameworks are novel and academic based. Case study is most prominent research methodology in the development of HSCM framework. Lack of coordination among humanitarian stakeholders is the major challenge in the empirical implementation of framework. This study proposes future research trend toward a unified HSCM framework that will facilitate to uncover the coherent set of elements/constructs in the field of HSCM.
Research limitations/implications
This study considers peer-reviewed articles published in English language, and excludes conference papers, working articles, technical data/reports and book chapters.
Practical implications
This study categorizes new dimension for framework analysis and proposed an HSC performance measurement framework which gives new insights to the academicians, practitioners and policy makers for future work.
Social implications
This examination gives the establishment to facilitate investigation of viable, efficient and effective HSCM, and detail opportunities for practices.
Originality/value
This study critically analyzes 66 frameworks under the different criteria to identify research gap and trends. Furthermore, this study proposes the HSC performance measurement framework.
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Sachin Agarwal, Ravi Kant and Ravi Shankar
This study proposed a mathematical model for decision-making in the pre- and post-disaster phases. This research aims to develop a mathematical model for three important fields in…
Abstract
Purpose
This study proposed a mathematical model for decision-making in the pre- and post-disaster phases. This research aims to develop a mathematical model for three important fields in the context of humanitarian logistics; stock prepositioning, facility location and evacuation planning in the humanitarian supply chain (HSC) network design.
Design/methodology/approach
This study applied three optimization techniques; classical approach (CA), pattern search algorithm (PSA) and Genetic Algorithm (GA) to solve the proposed mathematical model. The proposed mathematical model attempts to minimize the total relief items supply chain cost and evacuation chain cost of the HSC. A real case study of cyclone Fani, 2019 in Orissa, India is applied to validate the proposed mathematical model and to show the performance of the model.
Findings
The results demonstrate that heuristic approach; PSA performs better and optimal solutions are obtained in almost all the cases as compared to the GA and CA.
Research limitations/implications
This study is limited to deterministic demands in the affected regions, and different scenarios of the disaster events are not considered.
Social implications
The finding reveals that the proposed model can help the humanitarian stakeholders in making decisions on facility location, relief distribution and evacuation planning in disaster relief operations.
Originality/value
The results of this study may offer managerial insights to practitioners and humanitarian logisticians who are engaged in HSC implementation.
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Sachin Kashyap, Sanjeev Gupta and Tarun Chugh
The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast…
Abstract
Purpose
The present work has proposed and employed an innovative hybrid method based on the combination of factor analysis and an artificial neural network (ANN) model to forecast customer satisfaction from the identified dimensions of service quality in India, a developing country.
Design/methodology/approach
The qualitative study is conducted with Internet banking users to understand e-banking clients' perceptions. The data is collected with the help of a questionnaire from randomly selected 208 customers in India. Firstly, factor analysis was performed to determine the influential factors of customer satisfaction, and four factors i.e. efficiency, reliability, security and privacy, and issue and problem handling were extracted accordingly. The neural network model is then applied to the factor scores to validate the key elements. Lastly, the comparative analysis of the actual ANN and the regression predicted result is done.
Findings
The success ability of the linear regression model is challenged when approximated to nonlinear problems such as customer satisfaction. It is concluded that the ANN model is a better fit than the linear regression model, and it can recognise the complex connections between the exogenous and endogenous variables. The results also show that reliability, security and privacy are the most influencing factors; however, problem handling and efficiency have the slightest effect on bank client satisfaction.
Research limitations/implications
This research is conducted in India, and the sample is chosen from the urban area. The limitation of the purposeful sampling technique and the cross-sectional nature of the data may hamper the generalisation of the results.
Originality/value
The conclusions from the study will be helpful for policymakers, bankers and academicians. To our knowledge, few studies used ANN modelling to predict customer satisfaction in the service sector
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Virendra Kumar Verma, Sachin S. Kamble and L. Ganapathy
This study aims to identify 3D-printed medical model (3DPMM) supply chain barriers that affect the supply chain of 3DPMM in the Indian context and investigate the…
Abstract
Purpose
This study aims to identify 3D-printed medical model (3DPMM) supply chain barriers that affect the supply chain of 3DPMM in the Indian context and investigate the interdependencies between the barriers to establish hierarchical relations between them to improve the supply chain.
Design/methodology/approach
The methodology used interpretive structural modeling (ISM) and a decision-making trial and evaluation laboratory (DEMATEL) to identify the hierarchical and contextual relations among the barriers to the 3DPMM supply chain.
Findings
A total of 15 3DPMM supply chain barriers were identified in this study. The analysis identified limited materials options, slow production speed, manual post-processing, high-skilled data analyst, design and customization expert and simulation accuracy as the significant driving barriers for the medical models supply chain for hospitals. In addition, the authors identified linkage and dependent barriers. The present study findings would help to improve the 3DPMM supply chain.
Research limitations/implications
There were no experts from other nations, so this study might have missed a few 3DPMM supply chain barriers that would have been significant from another nation’s perspective.
Practical implications
ISM would help practitioners minimize 3DPMM supply chain barriers, while DEMATEL allows practitioners to emphasize the causal effects of 3DPMM supply chain barriers.
Originality/value
This study minimizes the 3DPMM supply chain barriers for medical applications through a hybrid ISM and DEMATEL methodology that has not been investigated in the literature.
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Richa Joshi, Prerna Garg, Sachin Kumar and Neeraj Dhiman
The purpose of this study is to understand the consumer’s continued intention of using food delivery apps (FDAs) by examining the value derived from benefits and challenges…
Abstract
Purpose
The purpose of this study is to understand the consumer’s continued intention of using food delivery apps (FDAs) by examining the value derived from benefits and challenges concerning their usage. Further, the study tested coupon proneness as a moderator to explain the relationship between perceived value and continued intention.
Design/methodology/approach
A cross-sectional survey was conducted with 240 FDA users, adapting a questionnaire from previous studies and measuring responses on a five-point Likert scale. The data was analyzed using structural equation modelling through AMOS to test the proposed framework.
Findings
The findings of the study demonstrate that the benefits of using FDAs positively influence the perceived value, whereas the challenges of using FDAs negatively influence the perceived value of the customer while using the app. Also, coupon proneness significantly moderates the relationship between perceived value and continued intention to use the app.
Originality/value
The present study modified the value-based adoption model by including three more benefits and one challenge concerning the usage of FDAs, and it also included coupon proneness as a moderator in the relationship between perceived value and continued intention to use the FDA.
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Nirankush Dutta and Anil K. Bhat
Principles of management, Marketing, Finance, Strategy, Supply Chain Management, Entrepreneurship.
Abstract
Subject area
Principles of management, Marketing, Finance, Strategy, Supply Chain Management, Entrepreneurship.
Study level/applicability
Master's Degree level courses, after students have been taught most of the basics related to management, marketing, finance, strategy, supply chain management and entrepreneurship.
Case overview
Founded in 2007 with an initial investment of less than USA $10,000, Flipkart has come a long way to become the largest E-commerce player in India with a registered user base of 9.6 million and valued at USA $1.6 billion. Efficient use of various marketing strategies has catapulted the company to its success. Till now, they have overcome most of the hurdles successfully. However, a lot needs to be discussed to find out ways to meet the challenges thrown by its competitors, to maintain its supremacy over other online e-retailers and continue its exponential growth to meet USA $1 billion sales by 2015.
Expected learning outcomes
After discussion of the case study, the student should be able to appreciate general business processes and develop basic analytical skills to resolve challenges faced by a fast-growing online start-up company in an emerging country like India. At the end, the students should be able to prepare a marketing plan for their own business within a stipulated budget.
Supplementary materials
Teaching notes are available for educators only. Please contact your library to gain login details or email support@emeraldinsight.com to request teaching notes.
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Valentin Burcă, Oana Bogdan, Ovidiu-Constantin Bunget, Alin-Constantin Dumitrescu and Carmen Mihaela Imbrescu
Purpose: This study reviews the financial implications of ESG business model redesign, focusing on providing higher orientation to ESG principles for firms’ supply chains…
Abstract
Purpose: This study reviews the financial implications of ESG business model redesign, focusing on providing higher orientation to ESG principles for firms’ supply chains, including training needs, policy requirements, or monitoring tool implementation. It assesses the association between firms’ profitability and the efforts firms make to align with principles of sustainable business models.
Methodology: Several statistical analyses, including canonical analysis, ANOVA, and multiple regression analysis. The focus of the research is limited to the CAER ex-communist members.
Findings: There is significant reluctance from the firms’ side to make the transition to the ESG-based and more circular economy business models when reviewing data about ESG supply chains, mainly driven by insufficient know – how transferred on the firm level from the academic side and insufficient understanding on the cost-benefits analysis of such transition.
Implications: Better resource allocation, increased environmental innovation capital acquisitions, or reduced waste along business processes lead to increased firms’ profitability. Transformation driven by the transition to circular business models also involves supply chain management-related business processes. The direct impact of transforming supply chains on firms’ profitability depends especially on the business models, mainly described by the particularities of the sector firms operate in, by countries’ institutional framework, and potential for growth. The green transformation of supply chains also generates indirect effects on firms’ profitability.
Limitations: Data selected for the study is extracted from the Refinitiv database, namely, all the listed companies with assets valued over 10,000 EUR from ex-communist economies.
Future Research: An extended database.
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Ravindra Baliga, Rakesh Raut and Sachin Kamble
The purpose of this paper is to conceptualize a model for sustainable supply chain management (SSCM) that integrates the antecedents, practices and performance measures of…
Abstract
Purpose
The purpose of this paper is to conceptualize a model for sustainable supply chain management (SSCM) that integrates the antecedents, practices and performance measures of sustainability. It also examines if lean management (LM) and supply management (SM) are antecedents of SSCM.
Design/methodology/approach
A systematic review of literature was undertaken across multiple streams, including operations management, SCM, sustainability, business ethics and performance management. Articles relevant to SSCM published over a span of 31 years (1988–2018) were searched using keywords and specific selection criteria.
Findings
From the literature, three dependent constructs – motivators of sustainability, LM and SM – and three independent constructs – environmental practices in SCM, social practices in SCM and SSCM performance – are identified and defined. Linkages between these constructs are hypothesized to develop a theoretical framework called the “integrated lean/supply management with sustainability motivators, practices and performance model.”
Research limitations/implications
Built on the principles-practices-outcomes framework proposed earlier, this model is comprehensive in its coverage of sustainability antecedents, practices and performance. Further, it covers the SCM triad – the supplier, the focal firm and the customers – as well as the roles they play in sustainability performance.
Originality/value
By identifying LM and SM as additional antecedents of SSCM, this study suggests that sustainability may be realized through LM and SM principles. Further, the proposed model presents a novel integration of literature from diverse domains.
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Nazia Shehzad, Bharti Ramtiyal, Fauzia Jabeen, Sachin K. Mangla and Lokesh Vijayvargy
This research looks into the revolutionary potential of Industry 5.0, healthcare, sustainability and the metaverse, with a focus on the transformation of healthcare firms through…
Abstract
Purpose
This research looks into the revolutionary potential of Industry 5.0, healthcare, sustainability and the metaverse, with a focus on the transformation of healthcare firms through cutting-edge technologies such as artificial intelligence (AI) and Internet of Things (IoT). The study emphasizes the significance of sustainability, human-machine collaboration and Industry 5.0 in the development of a technologically advanced, inclusive and immersive healthcare system.
Design/methodology/approach
The study surveyed 354 medical professionals and used structural equation modeling (SEM) to investigate healthcare sustainability, Industry 5.0 and the metaverse, emphasizing the integration of modern technology while maintaining ethical issues.
Findings
The findings highlight Industry 5.0’s and the metaverse’s transformational potential in healthcare firms. The study finds that human centricity (HC) has only a minor direct impact on healthcare sustainability, whereas intelligent automation (IA) and innovation (INN) play important roles that are regulated by external factors.
Practical implications
Utilizing IA inside healthcare organizations can result in significant industrial advancements. However, these organizations must recognize the importance of moderating factors and attempt to find a balance between INN and thesev restraints.
Originality/value
This study makes a substantial contribution to the field by investigating the potential of Industry 5.0, healthcare, sustainability and the metaverse. It discusses how these advances can transform healthcare firms, with an emphasis on patient-centered treatment, environmental sustainability and data ethics. The study emphasizes the importance of having a thorough awareness of these trends and their implications for healthcare practices.