Modeling and analysis of barriers in controlling TB: developing countries' perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Palka Mittal ◽  
Puneeta Ajmera ◽  
Vineet Jain ◽  
Gaurav Aggarwal

PurposeTuberculosis (TB) continues to c-exist with humans despite many TB control programs and elimination strategies. This depicts that some barriers are not allowing achieving the desired results. The current study aims to focus on identification and ranking of such barriers to facilitate TB control programs in developing countries.Design/methodology/approachIn the present study, 13 barriers that can influence success rate of TB elimination strategies have been recognized with an in-depth assessment of related literature and opinions of specialists from medical industry and academic world. The interpretive structural modeling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) techniques have been employed for the ranking of barriers.FindingsBased on driving power of barriers, the study coined that underinvestment is a major barrier followed by poor implementation of government policies and programs, poverty and poor primary health care infrastructure.Research limitations/implicationsThe findings may guide healthcare service providers and researchers in analyzing the barriers and understanding the necessity of further advancements to decrease the count of already existing and incident cases.Practical implicationsPolicy- and decision-makers may utilize the information on dependence and driving power of barriers for better planning and effective execution of TB control strategies.Originality/valueAlthough a lot of literature is available on different barriers that are affecting success of TB strategies, the current study analyzes all the key barriers collectively for the prioritization of barriers.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahak Sharma ◽  
Ruchita Gupta ◽  
Padmanav Acharya ◽  
Karuna Jain

PurposeCloud computing (CC) services have given a tremendous boost to the creation of efficient and effective solutions. With developing countries at a slow pace of adoption, this research aims to identify factors and their interrelationships influencing the adoption of CC in a developing country context. The developing countries are enjoying numerous benefits from CC services; however, its low adoption is still a question in developing economies; hence, the authors have selected the context of information and communication technology (ICT) firms in India.Design/methodology/approachThe qualitative research method is used where experts from thirteen ICT firms in India are interviewed.FindingsSixteen factors, twenty-eight subfactors, and 25 interrelationships are revealed through content analysis. Further, causal loop diagrams are proposed to display the behavior of cause and effect of these factors from a system's perspective. This will help to understand the relationships among the factors in order to enhance the speed of CC adoption. Possible financial loss and resistance to change are found as the key barriers to adoption. The proposed interrelationships can guide both policymakers and service providers for designing effective CC policies.Originality/valueThis is the first scholarly work that identifies interrelationships among factors and subfactors, thereby providing a holistic picture to decision-makers while making a choice on whether to adopt cloud services or continue with on premise data centers and servers.


2019 ◽  
Vol 15 (1) ◽  
pp. 112-165 ◽  
Author(s):  
Dheeraj Chandra ◽  
Dinesh Kumar

Purpose Delivering vaccines to the children who need them requires a supply chain that is efficient and effective. In most of the developing countries, however, the unknown and unresolved supply chain issues are causing inefficiencies in distributing vaccines. There is, therefore, a great need in such countries to recognize the issues that cause delays in vaccine delivery. With this purpose, the present study aims to identify and analyze the key issues in the supply chain of basic vaccines required to immunize children in developing countries. Design/methodology/approach Based on a field survey of three states of India, in-depth review of relevant literature and experts’ opinions, 25 key issues were recognized as factors of the vaccine supply chain (VSC) and categorized into five main domains. Using integrated interpretive structural modeling and fuzzy analytic network process approaches, the issues have been prioritized to determine their relative importance in the VSC. In addition, a sensitivity analysis has been performed to investigate the priority stability of the issues. Findings The results of the analysis show that among the five domains of VSC issues, the economic domain with a weight of 0.4262 is the most important domain, followed by the management (0.2672), operational (0.2222), environmental (0.0532) and social (0.0312). Research limitations/implications This study focuses on the prioritization of VSC issues; therefore, the results of the present study can provide direction to the decision-makers of immunization programs of developing countries in driving their efforts and resources on eliminating the most important obstacles to design successful vaccination programs. Originality/value To the authors’ knowledge, this paper is first to provide a direction to the decision-makers in identifying and managing important issues through the use of an analytical approach.


2018 ◽  
Vol 20 (6) ◽  
pp. 582-599 ◽  
Author(s):  
Muhammad Sabbir Rahman ◽  
Mahafuz Mannan ◽  
Riasat Amir

PurposeThe purpose of this study is to provide an insight into the adoption process of mobile internet (M-internet) among bottom-of-the-pyramid (BoP) customers.Design/methodology/approachAn empirical survey was used to test the proposed hypotheses. Data were collected from a total of 387 BoP customers from Bangladesh. PLS-SEM was applied to test the proposed model.FindingsThe findings in this study reveal that BoP customers’ life satisfaction, internet literacy, perceived usefulness and perceived ease of use significantly influence a customer’s intention to use M-internet, while these relationships are partially mediated by the attitude toward M-internet. Furthermore, price perception was found to directly influence intention to use M-internet and to have a positive moderating effect on the relationship between attitude toward M-internet and intention to use M-internet. Also, intention to use M-internet was found to have a significant influence on BoP customer’s M-internet adoption behavior.Practical implicationsThe findings of this study help to understand what drives and impedes the M-Internet adoption behavior of BoP customers in a developing country like Bangladesh.Originality/valueThis is the first study that incorporated BoP customers’ life satisfaction and internet literacy to investigate the BoP customers’ adoption process of M-internet in the context of developing countries. Overall, this study contributes to the limited literature regarding the BoP customers’ M-internet adoption behavior. The results of this study will help the M-internet service providers of Bangladesh and other similar developing countries to understand the BoP customer’s adoption process regarding M-internet to create successful policies and strategies both for the service providers and policymakers.


2016 ◽  
Vol 11 (2) ◽  
pp. 660-693 ◽  
Author(s):  
Atanu Chaudhuri ◽  
Samir K. Srivastava ◽  
Rajiv K. Srivastava ◽  
Zeenat Parveen

Purpose The purpose of this paper is to identify various risk drivers which affect a food processing supply chain and to create a map of how those risk drivers propagate risks through the supply chain and impact important performance measures. Design/methodology/approach This study involves experts from food processing companies to elucidate the contextual relationships among the risk drivers and between risk drivers and performance measures. This is used to quantify the relationships and to determine the indirect and overall relationships applying Fuzzy Interpretive Structural Modeling. Findings Three categories of risk drivers which Indian food processing companies need to pay maximum attention to minimize risks are identified. These are supplier dependency and contracting, supplier variability, visibility and traceability and manufacturing disruptions. Analysis shows that collaborating with suppliers and logistics service providers, developing mutually beneficial contracts with them while ensuring that adequate technology investments are made can significantly mitigate risks and consequently improve margins and lead to revenue growth. Research limitations/implications This study has been carried out with experts from large food processing companies in India, and hence, the results cannot be generalized across other types of food processing companies. Practical implications The proposed methodology can help understand the interrelationships between supply chain risks and between those risks and performance measures. Thus, it can help a food processing company to create business cases for specific supply chain risk mitigation projects. Originality/value This study is one of the earliest to create a comprehensive risk propagation map for food processing companies which helps in quantifying the impact the risk drivers have on each other and on performance measures.


2014 ◽  
Vol 5 (3) ◽  
pp. 178-211 ◽  
Author(s):  
Mona Taghavi ◽  
Kaveh Bakhtiyari ◽  
Hamed Taghavi ◽  
Vahhab Olyaee Attar ◽  
Aini Hussain

Purpose – This research work aims to investigate the recent status of the information and communication technology (ICT) services industry in Iran. It proposes a systemic applicable approach at policymaking level and appropriate strategic planning steps to enlighten developing countries toward achieving their target objectives of an information society. Design/methodology/approach – Largely based on existing literature and usage statistics in ICT services, global technology trends and results from a survey to obtain consistent and up-to-date information about current issues of ICT services in the public and private sectors in Iran. Findings – This study elaborates on all issues, points and best practices relevant to the ICT services industry in Iran which is addressed by recommending some documented policies. Research limitations/implications – Majority of the experts who attended the workshop and responded to the questionnaire were service consumers rather than service providers. Practical implications – This paper discusses some of the implications for the development of this ICT services strategy and provides policy recommendations. Social implications – To enhance the information society with the most advanced ICT services for accelerating human development. Originality/value – This study provides a government refining process policy to address the common gaps in the ICT services industry in these developing countries and emphasizes a formidable policy foundation before implementing and monitoring of the Flagship ICT projects.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ajith Tom James ◽  
Girish Kumar ◽  
Megha Bhalla ◽  
Megha Amar ◽  
Prasham Jain

PurposeThe increase in automobile usage across the world has fortified the opportunities of maintenance service garages. However, there are significant numbers of challenges in front of maintenance service providers at all stages of the business. This paper identifies, analyzes and prioritizes various challenges associated with the establishment and survival of garages specific to Indian context.Design/methodology/approachIn this paper, challenges for automotive service garage are identified through expert opinion, garage survey and literature. A structural hierarchical framework of the identified challenges is established through structural models, including interpretive structural modeling and analytic hierarchy process.FindingsThis paper has identified nine challenges, namely proliferation of new models and variants; technological advancements in automobile systems; demand of better service quality; space and ambience requirements; labor requirements; requirement of modern support equipments, tools and spares; safety requirements and prevention of occupational hazards; environmental norms and concerns; proper documentation requirements. The drivers and dependent variables have been identified. A hierarchical framework of challenges has been established.Practical implicationsThis paper provides a comprehensive list of challenges and their priority in establishing an automobile maintenance garage business in Indian context. This will help the budding entrepreneurs and existing maintenance organizations to focus on the challenges that necessitate immediate attention and corrective actions.Originality/valueThis paper provides a significant contribution in the literature of garage maintenance services, which is established on the viewpoint of different collaborators associated with this business. This study will be a foundation to investigate further in this domain.


2018 ◽  
Vol 25 (1) ◽  
pp. 297-318 ◽  
Author(s):  
Bijoylaxmi Sarmah ◽  
Zillur Rahman

Purpose With increased competition in service sector due to dynamic nature of customers’ taste and preferences, service providers have realized the importance of co-creating with customers across various stages of new service development. Co-creating with customers require a focused attention on the psychological variables that influence customers to participate in developing a new service. However, availability of scant literature creates difficulty in comprehending co-creative hotel service innovation practices, especially in developing country like India. The purpose of this paper is to explore the inter-relationships among the customer participation in hotel service innovation variables with the help of interpretive structural modeling (ISM) approach. Design/methodology/approach ISM approach is used to determine the direction of customer participation and categorization of psychological variables with their driving and dependence power. Identification of related variables was done through a review of literature initially and arrived at a common consensus through brainstorming sessions with academicians and hotel industry experts. Findings The results indicate that a few variables possess higher driving power that include: consumer innovativeness, customer participative behavior, customer socialization, willingness to co-create, role clarity, customer ability and their interlinking. Thus, the research contributes in the development of relationship among various identified variables of customer participation in service innovation (CPSI) using ISM. Research limitations/implications This study suggests that hoteliers should co-create with customers to develop new services by understanding their psychological variables that play a crucial role determining their active participation in new hotel service offerings. Practical implications This study suggests that hoteliers should co-create with customers to develop new services by understanding the enablers of customer participation in co-creative hotel service innovation. Hoteliers can have hierarchical map of their customers for co-creating at different stages of service innovation or can segregate the variables as per their driving and dependence power for enhanced applicability of the variables. Further, the observed inter-relationships among the CPSI variables can guide the managers in planning and implementing identified relationships for successful implementation of co-creative service innovation. Originality/value To the best of the authors’ knowledge this study is the first to provide an integrated model using ISM and Matrix Impact Cross-Reference Multiplication Applied to a Classification (MICMAC) analysis with a goal to identify and classify various key enablers of customer participation in co-creative hotel service innovation in India. The authors believe that this study will enhance the understanding of the psychological factors influencing customer-firm co-creative service innovation activities and help the academicians and industry practitioners to select right enablers for customer participation in co-creative hotel service innovation. Thus, this study will be the foundation for studying co-creative service innovation using the ISM and MICMAC approaches.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Kirti Nayal ◽  
Rakesh D. Raut ◽  
Maciel M. Queiroz ◽  
Vinay Surendra Yadav ◽  
Balkrishna E. Narkhede

PurposeThis article aims to model the challenges of implementing artificial intelligence and machine earning (AI-ML) for moderating the impacts of COVID-19, considering the agricultural supply chain (ASC) in the Indian context.Design/methodology/approach20 critical challenges were modeled based on a comprehensive literature review and consultation with experts. The hybrid approach of “Delphi interpretive structural modeling (ISM)-Fuzzy Matrice d' Impacts Croises Multiplication Applique'e à un Classement (MICMAC) − analytical network process (ANP)” was used.FindingsThe study's outcome indicates that “lack of central and state regulations and rules” and “lack of data security and privacy” are the crucial challenges of AI-ML implementation in the ASC. Furthermore, AI-ML in the ASC is a powerful enabler of accurate prediction to minimize uncertainties.Research limitations/implicationsThis study will help stakeholders, policymakers, government and service providers understand and formulate appropriate strategies to enhance AI-ML implementation in ASCs. Also, it provides valuable insights into the COVID-19 impacts from an ASC perspective. Besides, as the study was conducted in India, decision-makers and practitioners from other geographies and economies must extrapolate the results with due care.Originality/valueThis study is one of the first that investigates the potential of AI-ML in the ASC during COVID-19 by employing a hybrid approach using Delphi-ISM-Fuzzy-MICMAC-ANP.


2015 ◽  
Vol 32 (2) ◽  
pp. 94-108 ◽  
Author(s):  
Anchal Garg ◽  
Balvinder Shukla ◽  
Graham Kendall

Purpose – The purpose of this paper is to identify the most significant barriers to successful implementation of information technology (IT) in higher educational institutions (HEIs) of India. Although, educational institutions are investing in IT, they have been not been able to leverage it the same way as other business organizations. The present investigation will assist the management of HEIs to distinguish the key barriers affecting productive IT implementations and further take appropriate measures to deal with it. Design/methodology/approach – For the purpose of the study, focus group and semi-structured interviews were conducted with academicians, administrators, functional heads, and IT staff from various HEIs of India. This research attempts to discover the major barriers to successful implementation of IT in HEIs using an interpretive structural modeling (ISM) methodology. Furthermore, structural analysis and classification of barriers is done using MICMAC analysis. Findings – The results identified the key barriers that if dealt with can help overcome or lower the effect of other barriers preventing successful IT implementation in HEIs. It will provide roadmap to managers and administrators of HEIs to take appropriate measures to overcome the major barrier to effective implementation of IT. Originality/value – Several authors have been studied barriers to implementation of IT in industry and educational institutions, but none have found the most significant barriers that affect successful implementation of IT and may drive other impediments. This research draws inspiration and is being carried out for Indian HEIs.


Author(s):  
Alfred Presbitero ◽  
Banjo Roxas ◽  
Doren Chadee

Purpose How do knowledge-intensive technology-based offshore information technology service providers (ITSPs) in developing countries sustain their innovation and remain competitive? The purpose of this paper is to answer this question by drawing from the knowledge-based view of firm innovation to argue that organisational collectivism (COLL) plays a crucial role in influencing the effects of knowledge-based capabilities on innovation of ITSPs. Design/methodology/approach The study develops a model which shows that learning mediates the effects of knowledge sharing on innovation and that COLL moderates the effects of knowledge sharing on both innovation and learning. A moderated-mediation model is tested using structural equation modelling techniques and data (n=388) from a survey of ITSPs in the Philippines. Findings The results show that knowledge sharing capability is positively related to innovation and that organisational learning capability fully mediates the effects of knowledge sharing on innovation. Moreover, COLL is found to significantly and positively moderate the effects of knowledge sharing on both organisational learning and innovation. The results indicate that organisational learning serves as the mechanism that transforms knowledge into innovation, but this effect is contingent on COLL of ITSPs. Practical implications The findings suggest that ITSPs from developing countries can look beyond costly investments in research and development activities to invigorate their innovative capabilities. ITSPs can focus on the development of their intangible assets such as COLL to enhance the effects of knowledge-based resources on innovation for sustaining their competitiveness. Originality/value The moderated-mediation analytical approach to assessing the joint effects of knowledge sharing, organisational learning and collectivism on innovation is novel. The significant effects of the moderator suggest that the mediation mechanisms might differ depending on the levels of development of COLL in the organisation.


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