Sumati Sidharth

Bio: Sumati Sidharth is an academic researcher from Defence Institute of Advanced Technology. The author has contributed to research in topics: Effluent & Environmental chemistry. The author has an hindex of 2, co-authored 4 publications receiving 107 citations.

Total Interpretive Structural Modeling (TISM): approach and application

Abstract: Purpose The purpose of this paper is to elucidate the methodology of total interpretive structural modeling (TISM) in order to provide interpretation for direct as well as significant transitive linkages in a directed graph. Design/methodology/approach This study begins by unfolding the concepts and advantages of TISM. The step-by-step methodology of TISM is exemplified by employing it to analyze the mutual dependence among inhibitors of smartphone manufacturing ecosystem development (SMED). Cross-impact matrix multiplication applied to the classification analysis is also performed to graphically represent these inhibitors based on their driving power and dependence. Findings This study highlights the significance of TISM over conventional interpretive structural modeling (ISM). The inhibitors of SMED are explored by reviewing existing literature and obtaining experts’ opinions. TISM is employed to classify these inhibitors in order to devise a five-level hierarchical structure based on their driving power and dependence. Practical implications This study facilitates decision makers to take required actions to mitigate these inhibitors. Inhibitors (with strong driving power), which occupy the bottom level in the TISM hierarchy, require more attention from top management and effective monitoring of these inhibitors can assist in achieving the organizations’ goals. Originality/value By unfolding the benefits of TISM over ISM, this study is an endeavor to develop insights toward utilization of TISM for modeling inhibitors of SMED. This paper elaborates step-by-step procedure to perform TISM and hence makes it simple for researchers to understand its concepts. To the best of the authors’ knowledge, this is the first study that analyzes the inhibitors of SMED by utilizing TISM approach.

A TISM modeling of critical success factors of smartphone manufacturing ecosystem in India

Abstract: Purpose – The purpose of this paper is to identify and analyze various critical success factors (CSFs) that can facilitate smartphone manufacturing in India. This paper further aims to understand the mutual interactions among these CSFs through identification of the hierarchical relationships among them. Design/methodology/approach – A framework for a smartphone manufacturing system has been developed, wherein the hierarchical inter-relationships between identified CSFs have been presented and interpreted using total interpretive structural modeling (TISM). Cross-impact matrix multiplication applied to classification analysis has been further employed to identify the driving power as well as dependence power of these CSFs. Findings – In the present research, 15 CSFs have been identified through literature review and expert opinions. The hierarchical framework developed using TISM has revealed the inter-dependencies among these CSFs. This research further categorizes CSFs into three clusters. The first clu...

A review on recent trends in bio-based pressure sensitive adhesives

Abstract: In recent years, there has been a surge in interest in the field of bio-based pressure-sensitive adhesives (PSAs) driven by the increase in stringent regulations and eminent concerns for sustainability. There have been continued efforts to find suitable alternatives for conventional petroleum-based PSA systems. With the gaining momentum in the field of green chemistry concepts and advancements in synthesis techniques, there have been various strategies to develop sustainable bio-based PSAs from various bio feedstocks like 1st generation sources like plant and animal oils, alcohols, 2nd generation sources like natural rubber, lignin and 3rd generation sources like biomass and organic waste. This work aims to review the recent progress in this developing field, reported in articles in the past decade.

A critical review on employing algae as a feed for Polycarbohydrate synthesis

Abstract: As a substitute for conventional plastics in the market, bioplastics are winning their reputation. Pursuant to the researches carried out, in spite of being notably biodegradable in nature bioplastics have the similar qualities as conventional polymers. On the seeking for substitute for conventional plastics we found profusely existing, readily extractable algae as a superior source considering it does not rival with food roots for the bioplastic synthesis. This review covers the capacity of both microalgae and macroalgae in producing bioplastic considering polycarbohydrates present in the algae, such as cellulose, alginate, and carrageenan, have the ability to generate bioplastic. Consequently, the species employed as sources for bioplastic synthesis and various applications of algae-derived bioplastic were abbreviated.

Factors influencing the epidemiological characteristics of pandemic COVID 19: A TISM approach

Abstract: The COVID 19 is a pandemic having an epidemic nature influencing the human health and economy in a global level. The major limitation to overcome the issue is the lack of potential vaccines or effe...

How to check correctness of total interpretive structural models

Abstract: Interpretive structural modelling (ISM) has been further interpreted in the form of total interpretive structural modelling (TISM). These are graphical models that represent the hierarchical relationships and help in better and precise conceptualization and theory building. ISM only interprets the nodes in a digraph, but TISM interprets both nodes and links. The errors observed in applications of ISM and TISM reported in past have acted as motivation for this paper to provide checks and guidelines for correctness of total interpretive structural models. The paper first gives an overview of past applications of TISM. The process of TISM is first outlined and then the guidelines and thumb rules are provided to check the correctness of TISM at each step. Some typical errors in TISM models and their modifications are discussed to help future modellers to translate their ill-structured mental models into sound theoretical models. A discussion on usefulness of TISM for big data analytics for theory building is provided and future directions of research are outlined.

Total Interpretive Structural Modeling (TISM): approach and application

Abstract: Purpose The purpose of this paper is to elucidate the methodology of total interpretive structural modeling (TISM) in order to provide interpretation for direct as well as significant transitive linkages in a directed graph. Design/methodology/approach This study begins by unfolding the concepts and advantages of TISM. The step-by-step methodology of TISM is exemplified by employing it to analyze the mutual dependence among inhibitors of smartphone manufacturing ecosystem development (SMED). Cross-impact matrix multiplication applied to the classification analysis is also performed to graphically represent these inhibitors based on their driving power and dependence. Findings This study highlights the significance of TISM over conventional interpretive structural modeling (ISM). The inhibitors of SMED are explored by reviewing existing literature and obtaining experts’ opinions. TISM is employed to classify these inhibitors in order to devise a five-level hierarchical structure based on their driving power and dependence. Practical implications This study facilitates decision makers to take required actions to mitigate these inhibitors. Inhibitors (with strong driving power), which occupy the bottom level in the TISM hierarchy, require more attention from top management and effective monitoring of these inhibitors can assist in achieving the organizations’ goals. Originality/value By unfolding the benefits of TISM over ISM, this study is an endeavor to develop insights toward utilization of TISM for modeling inhibitors of SMED. This paper elaborates step-by-step procedure to perform TISM and hence makes it simple for researchers to understand its concepts. To the best of the authors’ knowledge, this is the first study that analyzes the inhibitors of SMED by utilizing TISM approach.

Analysis of barriers in implementation of digital transformation of supply chain using interpretive structural modelling approach

Abstract: Digital supply chain (DSC) is an agile, customer-driven and productive way to develop different forms of returns for companies and to leverage efficient approaches with emerging techniques and data analytics. Though the advantages of digital supply chain management (DSCM) are many, its implementation is quite slow for several reasons. The purpose of this paper is to identify the major barriers which hinder the adoption of DSC and to analyse the interrelationship among them. The barriers of DSC are explored on the basis of existing literature and experts’ opinion.,This paper uses the interpretive structural modelling (ISM) approach to develop a hierarchical structural model which shows the mutual dependence among the barriers of DSC. Cross-impact matrix multiplication applied to classification analysis was performed to represent these barriers graphically on the basis of their driving power and dependence.,The research demonstrates that the barriers “no sense of urgency”, “lack of industry specific guidelines”, “lack of digital skills and talent” and “high implementation and running cost” are the most significant barriers to digital transformation of supply chain. This paper also suggests some managerial implications to overcome the barriers which hinder the implementation of digital transformation of supply chain.,This paper assists managers and policymakers to understand the order in which these barriers must be tackled and adopts a roadmap for successful implementation of DSCM and reap its benefits.,This is one of the initial research studies which has analysed the barriers of DSC using ISM approach.

Modeling critical success factors of traceability for food logistics system

Abstract: Economic growth of a nation depends upon its capability to ensure the security of safe and quality food to its citizens. Despite having the vital role of food security in the growth, emerging economies are facing a number of challenges in their food logistics system. One of the most attention-seeking challenges is the management of security and safety of food commodities in food logistics. The prime concern is to monitor food quality throughout its supply chain and track the physical movement till it reaches end-consumers. This requires implementation of an effective and efficient traceability system. The successful implementation of traceability system requires consideration of multiple stakeholders’ perspectives. On the basis of critical success factor (CSF) theory and multiple stakeholders’ view on ensuring the security of quality food, this study proposes a comprehensive framework for implementation of traceability-based food logistics system. It attempts to identify and classify various CSFs necessary for the implementation of traceability system using a questionnaire-based survey followed by exploratory factor analysis. Further, an analysis of inter-relationships among the statistically significant CSFs is performed using total interpretive structural modeling, which considers multiple stakeholders’ views. The study helps in developing a comprehensive understanding of directional inter-relationships among CSFs and provides significant insights related to ways to improve consumer satisfaction through safe and quality food in food logistics.