Modelling enablers of efficiency and sustainability of healthcare: a m-TISM approach

Sindhwani, Rahul; Kumar, Ravinder; Behl, Abhishek; Singh, Punj Lata; Gupta, Tanmay

doi:10.1108/bij-03-2021-0132

Cited by 26 publications

(22 citation statements)

References 85 publications

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“…Future researchers are also encouraged to use m-TISM as a simpler and more convenient way of constructing structural explanatory models to validate their results and findings if there are fewer variables, the field of study is well established and the relevant literature is extensive. [78][79][80][81][82][83][84][85][86][87][88][89][90][91][92][93]…”

Section: Limitations and Future Workmentioning

confidence: 99%

Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework

2022

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Objectives This study used the Technology-Organization-Environment (TOE) framework to identify the factors involved in the decisions made by integrated medical and healthcare organizations to adopt artificial intelligence (AI) elderly care service resources. Method This study identified the Decision-making Trial and Evaluation Laboratory-Interpretive Structural Modeling (DEMATEL-ISM) method was used to construct a multilayer recursive structural model and to analyze the interrelationships between the levels. A MICMAC quadrant diagram was used for a cluster analysis. Results The ISM recursive structural model was divided into a total of seven layers. The bottom layer contained the four factors of High risk of data leakage (T1), Lack of awareness of the value and benefits of AI healthcare technology (T5), Lack of management leadership support (O1), and Government policies (E1). Having a low dependency but high driving force, these factors are the root causes of adoption by healthcare organizations. The topmost layer contained the most direct factors, which had a high dependency but the low driving force, influencing adoption: Competitive pressures (E2), Lack of patient trust (E5), and Lack of excellent partnerships (E7). Healthcare organizations are more concerned with technology and their environments when deciding to adopt intelligent healthcare resources. Conclusion The combination of the three methods of DEMATEL-ISM-MICMAC construction models provides new ideas for smart healthcare services for hospitals. The DEMATEL method favors the construction dimension of the micro-model, while the ISM method favors the construction dimension of the macro-model. Combining these two methods may reduce the loss of information within the system, simplify the matrix calculation workload, and improve the efficiency of operations while decomposing the complex problems into several sub-problems in a more comprehensive and detailed way. Conducting cluster analysis of the adoption determinants utilizing MICMAC quadrant diagrams may provide strong methodological guidance and decision-making recommendations for government departments, senior decision-makers in healthcare organizations, and policy-makers in associations in the senior care industry.

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Section: Limitations and Future Workmentioning

confidence: 99%

Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework

2022

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Section: Methodsmentioning

confidence: 99%

“…Suppose if there are ten values, then the total number of paired comparisons done in the research work is 45 in TISM. Whereas in m-TISM, only 15 comparisons are required for getting the result that reveals that in m-TISM, the paired comparison is reduced by one-third time (Sindhwani et al, 2021). Next, the transitivity is checked for every enabler; if A is transitive to B and B is transitive to C, then A is transitive to C according to the transitivity rule.…”

Section: Exploring Resilience In Msme Sectormentioning

confidence: 99%

“…Further, to affirm and approve the motivation behind the identified enablers thorough review, the creators have significantly inspected through the Fuzzy-Delphi approach and affirmed with the experts in the MSME industry. The Fuzzy-Delphi method is used to arrive at a group opinion or decision by surveying a panel of experts (Sindhwani et al, 2021). Dalkey and Helmer introduced the Delphi technique for the survey and the purpose of consultation with the experts.…”

Section: Appropriate Article Selectionmentioning

confidence: 99%

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Exploring “what,” “why” and “how” of resilience in MSME sector: a m-TISM approach

Sindhwani

Hasteer

Behl

et al. 2022

BIJ

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PurposeThis will not be an overstatement to state that the micro, small and medium enterprise (MSME) industry is crucial and the vital driver of the world economy. It covers different fields and dimensions such as defense products, electrical components and low-cost products. The sector plays a vital role in rendering work with low capital expenditure and is one of the emerging pillars of the Indian economy. Given the significance of this sector in contributing towards India's gross domestic product (GDP), it becomes appropriate to resolve all the issues related to MSME on a primary basis for ensuring required support. The recent global pandemic of COVID-19 has impacted this sector to a great extent. This research study targets the MSME industry and points out the directly linked enablers adding to improve the sector's resiliency and sustainability. Therefore, identification and the interrelationship between the MSME enablers need to be studied, which helps make a preliminary list that deals with their impedance benefaction towards resiliency increment.Design/methodology/approachThe writers have done a comprehensive literature analysis of the enablers for the MSME sector to enable effectively and efficiently during emergencies and pandemics. An endeavor has been made on the enablers to order them by utilizing the modified Total Interpretative Structure Modelling (m-TISM) technique. Authentication of this research work highlights the significance of enablers and their position in a hierarchical structure. Further, MICMAC investigation on the recognized enablers is performed to arrange them in the four quadrants on their dependence and driving power.FindingsThe authors have attempted to predict the significance of the MSME sector and its essential contribution to the development of India's economy. The result of m-TISM in the current research work revealed the essential commitment of a hierarchical design dealing with the MSME considering the viewpoint of future development. The well-planned traditional design in the MSME helps establish better government policies and programs and transport infrastructure.Research limitations/implicationsEvery research study has a few restrictions. Likewise, the boundaries of the current study are that inputs collated for fostering the models are from a few specialists that may not mirror the assessment of the whole MSME sector.Practical implicationsThe MSME sector is the developing sector in the current day, and it is needed to keep supporting the sector for the country's development. The current study has set out the functional establishment to improve MSME practicality. In addition, the research highlights the accountability of the MSME authorities to go with the identified enablers having solid driving power for successful usage of the available resources. This will help the MSME development and add value to practitioners and policymakers in the future.Originality/valueThe growth of this sector is essential for the development of the economy and the development of a nation. The current study presents a unique structure that gives a superior comprehension of the enablers. It will help play a crucial role in developing the MSME area. The structure model developed with the assistance of m-TISM and MICMAC examine the identified enablers with inputs from experts in the field. The hierarchy developed from the study recognized the enablers located on their commitment of suitability development of the MSME field.

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“…By application of approach such as analytic hierarchy process (AHP) the interdependencies between the factors cannot be observed (Mittal et al , 2019). Singh et al (2019) observed that DEMATEL is the preferred technique over AHP, total interpretive structural modeling, interpretive structural modeling or any multiple-criteria decision making techniques as it dissevers challenges into cause and effect group and indicates the severity of their effects too (Sindhwani et al , 2018; Shanker et al , 2019; Sindhwani et al , 2019a; Sindhwani et al , 2021). Bai and Satir (2020) stated that DEMATEL has a range to respond (0, 1, 2, 3 and 4) to explore the relationship between factors and further help in formulating futuristic strategies.…”

Section: Methodsmentioning

confidence: 99%

IIoT implementation challenges: analysis and mitigation by blockchain

Kumar

Sindhwani

Singh

2021

JGOSS

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Purpose The purpose of this methodology is to categorise the challenges into cause and effect group. The modern scenario of customization, personalization and multi-restrictive working because of pandemics has affected the operations of manufacturing small and medium enterprises (SMEs). In the new normal, the digitalization of manufacturing SMEs can be the path breaker. Modern digitalization includes a mix of technologies such as the industrial internet of things (IIoT), the internet of things, cyber-physical system and big data analytics. This digitalization can help in achieving new design changes, efficient production scheduling, smart manufacturing and unrestricted on-time delivery of quality products. This research paper aims to recognize and analyze the challenges faced while implementing IIoT technologies in manufacturing SMEs and tries to find the possibility of mitigating challenges by blockchain technology. Design/methodology/approach There were ten challenges of IIoT implementation identified from the literature review and experts’ opinions. To collect information from Indian manufacturing SMEs, a survey tool was formed in the form of a questionnaire. On the fundament of responses received from industrial experts, the Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique has been used for categorizing these challenges into cause and effect groups. Further, the authors tried to mitigate observed challenges with the help of blockchain technology. Findings With the implementation of IIoT technologies, the manufacturing processes become conciliatory, effective and traceable in real time. Observation of the current study states that the top effect group challenges such as the security of data and reliability of technologies can be mitigated by enabling blockchain technologies. The authors conclude that blockchain-enabled IIoT technologies will be highly beneficial for the Indian SMEs strategically and practically in the current scenario. Research limitations/implications Methodology of DEMATEL focuses on responses received from experts. The broader approach of survey from manufacturing organizations is compromised due to small sample size in this methodology. Experts approached for survey were from manufacturing SMEs of Delhi National Capital Region only. Broader survey-based techniques may be applied covering different sectors of SMEs in future work. Practical implications Technologies such as blockchain can facilitate advanced security in the application of IIoT and other such practices. While dealing with significant issues and challenges of new technologies, blockchain gives an edge of balance in the current scenario. Its properties of fixity, temper evident and circumvent fraud make this technology ideal for the digitalization of the manufacturing systems in SMEs. Originality/value Digitalization of manufacturing facilities is the need of the hour. Pandemic challenges have highlighted the urgency of it. This research will motivate and guide the manufacturing SMEs in planning strategies and long-term policies in implementing modern technologies and coping up with the pandemic challenges.

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Modelling enablers of efficiency and sustainability of healthcare: a m-TISM approach

Cited by 26 publications

References 85 publications

Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework

Artificial intelligence healthcare service resources adoption by medical institutions based on TOE framework

Exploring “what,” “why” and “how” of resilience in MSME sector: a m-TISM approach

IIoT implementation challenges: analysis and mitigation by blockchain

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