V. Vaishnavi

Bio: V. Vaishnavi is an academic researcher from Amrita Vishwa Vidyapeetham. The author has contributed to research in topics: Lean Six Sigma & Fuzzy logic. The author has an hindex of 6, co-authored 10 publications receiving 193 citations.

A study on the influence of factors associated with organizational readiness for change in healthcare organizations using TISM

Abstract: The purpose of this paper is to identify, analyze and develop a model to measure the interactions among different factors of organizational readiness for change in service sector specific to healthcare organization. The total interpretive structural modeling (TISM)-based readiness for change is to build a theoretical framework to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.,TISM is used to identify factors that contribute to analyze the readiness state before starting a change implementation process in healthcare. Matrice d’Impacts croises-multiplication applique´ a classement analysis is used to find the driving and dependent factors of change in healthcare.,This paper identified 12 factors of readiness for change from literature review followed by expert interview to understand the inner connection of factors and study inner relationships. The result says that state of affairs, recent trends in healthcare sector, technology advancement and interdependence among departments are key factors for readiness of change.,This research mainly focused on readiness factors for change in the healthcare sector.,This study will be useful for researcher and practitioners to understand the readiness factors for change.,In this research work, TISM-based readiness for the change framework structural model has been proposed for healthcare organizations which is a new effort in the area of organizational change management in this sector.

Modelling the readiness factors for agility in healthcare organization: a TISM approach

Abstract: The purpose of this paper is to identify and analyze the interactions among different readiness factors for implementing agility in healthcare organization. Total interpretive structural modeling (TISM) based readiness framework for agility has been developed to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.,The identification of factors is done by TISM approach used for analyzing the mutual interactions between factors. Cross-impact matrix multiplication applied to classification analysis is utilized to find the driving and dependent factors of agile readiness in healthcare.,This paper identifies 12 factors of readiness for change in literature review, which is followed by an expert interview to understand the interconnection of factors and to study interrelationships of factors. The study suggests that factors like environmental scanning, resource availability, innovativeness, cost effectiveness, organizational leadership, training and development are important for implementing/improving the readiness of agility in healthcare organizations.,This research focuses mainly on readiness factors for agility in healthcare sector.,Top management must stress on readiness factors that have a strong driving power for efficient implementation of agility in healthcare. This study helps the managers to take quick decisions, and continuous monitoring of readiness factors would be more beneficial to improve the quality of service, which makes the organization more agile.,In this research, TISM-based readiness for agile framework structural model has been proposed for healthcare organizations, which is a new effort for implementation of agility in healthcare.

Modelling of readiness factors for the implementation of Lean Six Sigma in healthcare organizations

Abstract: This paper aims to identify, analyze and categorize the major readiness factors for implementing Lean Six Sigma (LSS) in health-care organizations using total interpretive structural modelling technique. The readiness factors are identified would help the managers to recognize the areas that lack and provide importance to the successful implementation of LSS in those areas. The paper further intends to understand the hierarchical interrelationships among the readiness factors identified using dependence and driving power.,In total, 16 readiness factors are identified from the literature review and expert opinions are collected from hospitals. The scheduled interview is conducted based on a questionnaire survey in hospitals in the Indian context to identify the relevance of the relations among the readiness factors. The expert opinions are used in the initial reachability matrix and interpretative interaction matrix. Matrix impact cross multiplication applied to classification (MICMAC) analysis uses dependence and driving power to understand the hierarchical relationship among the readiness factors identified.,The result indicates that customer-oriented and goal management cultures are the key readiness factors for LSS. The execution technique and training are given according to the current demand of customers and goal change of organization. The manager needs to concentrate more on readiness factors to formulate the execution process of LSS for continuous improvement of the health-care organization. The readiness level helps the manager to identify the target area for LSS execution.,This research focuses mainly on readiness factors for the implementation of LSS in the health-care industry.,This study would be useful for researchers and practitioners to understand the readiness factors before starting the implementation process of LSS.,Many research studies are being done on the success and failure rate of implementation of factors. The present study identifies the readiness factors related to LSS, especially for the health-care industry.

Assessment of readiness level for implementing lean six sigma in healthcare organization using fuzzy logic approach

Abstract: Lean Six Sigma (LSS) is a widely accepted business improvement methodology in healthcare, which aims to improve operations and quality and reduce cost, medical errors and waiting time by combing the principles of lean thinking with Six Sigma methodologies. To implement LSS successfully in healthcare organizations it is necessary to know the readiness level before starting the change process. Thus, the purpose of this paper is to assess the readiness level for the implementation of LSS in healthcare using a fuzzy logic approach.,The current study uses a fuzzy logic approach to develop an assessment model for readiness to implement LSS. The conceptual model for readiness is developed with 5 enablers, 16 criteria and 48 attributes identified from the literature review. The current study does the study in a medium-size hospital from India.,The fuzzy readiness for implementation of LSS index (FRLSSI) and fuzzy performance importance index (FPII) are calculated to identify the readiness level for the implementation of LSS in the case hospital. The FRLSSI is computed as average ready with (3.30, 5.06 and 6.83) and the FPII computed helps to identify 15 weaker attributes from 48 attributes.,The current study uses only one hospital for study. In the future, the model can be tested in many hospitals.,The current study would be used by the managers of a healthcare organization to identify the readiness level of their organization to implement LSS. The proposed model is based on the identification of enablers, criteria and attributes to assess the readiness level of a healthcare organization and it helps to improve the readiness level to implement LSS effectively.,The present study contributes to the knowledge of readiness for the implementation of LSS in a healthcare organization. The conceptual model is developed for assessing the readiness level of a healthcare organization and it helps to improve the readiness level for successful implementation of LSS. Weaker attributes are identified and necessary corrective actions should be taken by the management to improve the readiness. The continuation of the assessment readiness model over a period of time would help to improve the readiness level of healthcare for the implementation of LSS.

Assessing the Readiness Level of Healthcare for Implementing Agility Using Fuzzy Logic Approach

Abstract: An agile strategy in healthcare would authorize organizations to provide efficient, customized and standard service on time at an optimized cost. To implement agility, the management of the healthcare organization needs to know the mechanisms and how to make the whole organization ready for change process. Thus, the current study assesses the readiness level of healthcare utilizing fuzzy logic approach to implement agility. The conceptual readiness model is framed with five enablers, twenty criteria and fifty-six attributes. The proposed model is applied in to a case hospital to assess the readiness level. The Fuzzy readiness for the implementation of agility index (FRAI) and fuzzy performance importance index (FPII) are computed to determine the readiness level of the case hospital and its weaker attributes in the implementation of agility. FRAI is computed as average ready with (3.00, 4.78, 6.56), and FPII identifies 15 weaker attributes from 56 attributes. It constructs the conceptual model which analyses the current readiness of healthcare and weaker attributes are denoted and required corrective actions should be carried by the management of healthcare organization to improve the readiness. The continuation of assessment readiness model over a period of time would help to improve the readiness level of healthcare for agile implementation.

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...

Modelling the readiness factors for agility in healthcare organization: a TISM approach

Abstract: The purpose of this paper is to identify and analyze the interactions among different readiness factors for implementing agility in healthcare organization. Total interpretive structural modeling (TISM) based readiness framework for agility has been developed to understand the mutual interactions among the factors and to identify the driving and dependence power of these factors.,The identification of factors is done by TISM approach used for analyzing the mutual interactions between factors. Cross-impact matrix multiplication applied to classification analysis is utilized to find the driving and dependent factors of agile readiness in healthcare.,This paper identifies 12 factors of readiness for change in literature review, which is followed by an expert interview to understand the interconnection of factors and to study interrelationships of factors. The study suggests that factors like environmental scanning, resource availability, innovativeness, cost effectiveness, organizational leadership, training and development are important for implementing/improving the readiness of agility in healthcare organizations.,This research focuses mainly on readiness factors for agility in healthcare sector.,Top management must stress on readiness factors that have a strong driving power for efficient implementation of agility in healthcare. This study helps the managers to take quick decisions, and continuous monitoring of readiness factors would be more beneficial to improve the quality of service, which makes the organization more agile.,In this research, TISM-based readiness for agile framework structural model has been proposed for healthcare organizations, which is a new effort for implementation of agility in healthcare.

Modelling of readiness factors for the implementation of Lean Six Sigma in healthcare organizations

Abstract: This paper aims to identify, analyze and categorize the major readiness factors for implementing Lean Six Sigma (LSS) in health-care organizations using total interpretive structural modelling technique. The readiness factors are identified would help the managers to recognize the areas that lack and provide importance to the successful implementation of LSS in those areas. The paper further intends to understand the hierarchical interrelationships among the readiness factors identified using dependence and driving power.,In total, 16 readiness factors are identified from the literature review and expert opinions are collected from hospitals. The scheduled interview is conducted based on a questionnaire survey in hospitals in the Indian context to identify the relevance of the relations among the readiness factors. The expert opinions are used in the initial reachability matrix and interpretative interaction matrix. Matrix impact cross multiplication applied to classification (MICMAC) analysis uses dependence and driving power to understand the hierarchical relationship among the readiness factors identified.,The result indicates that customer-oriented and goal management cultures are the key readiness factors for LSS. The execution technique and training are given according to the current demand of customers and goal change of organization. The manager needs to concentrate more on readiness factors to formulate the execution process of LSS for continuous improvement of the health-care organization. The readiness level helps the manager to identify the target area for LSS execution.,This research focuses mainly on readiness factors for the implementation of LSS in the health-care industry.,This study would be useful for researchers and practitioners to understand the readiness factors before starting the implementation process of LSS.,Many research studies are being done on the success and failure rate of implementation of factors. The present study identifies the readiness factors related to LSS, especially for the health-care industry.

Factors influencing organizational agility in higher education

Abstract: The purpose of this paper is to explore the factors that can facilitate agility in higher education and to analyze the interrelationship between the factors.,A structured model of factors facilitating agility in higher education was developed using total interpretive structural modeling (TISM). Cross-impact matrix multiplication (MICMAC) analysis helped in classifying the factors on the basis of their driving and dependency power.,An extensive literature review and expert opinion helped in identifying eight enablers that can promote agility in higher education. The ability to sense the environment, organizational structure, adoption of ICT, organizational learning, human resource strategies, leadership, readiness to change and collaboration with the stakeholders were the eight factors identified. The structural model revealed leadership as the most crucial enabler followed by human resource strategies and organizational structure.,The model has incorporated and prioritized all the crucial drivers of agility that can help universities and colleges design, adopt and implement policies and practices that would facilitate agility.,So far, the research on agility in higher education has looked into each factor in isolation. This research provides a comprehensive list of the factors and establishes the interplay between the factors making this study new and original.

Enablers of workforce agility in engineering educational institutions

Abstract: The purpose of this paper is to explore and encapsulate the enablers that can facilitate agility in faculty members of engineering institutions. The paper also aims to conduct a prelim qualitative validation of the enablers and analyze the interplay between them using the total interpretive structural modeling (TISM) approach.,The study adopted the TISM approach to comprehend the interactions and transitivity between the enablers. Cross-impact multiplication matrix (MICMAC) analysis was applied to rank the enablers and classify them on the basis of the driving and dependence power into dependent, autonomous, independent and linkage enablers.,Extensive literature review and expert opinion helped identify 16 enablers that can promote workforce agility. The results indicate “management support” as the most crucial enabler. Rewards and recognition and employee empowerment were among the other enablers that have a high driving force. New capabilities, learning and innovation and the expanding role of faculty members were found to have high dependence power, which makes the enablers dependent on other enablers for activation.,The results of this study would assist the management of engineering colleges and universities to design, adopt and implement policies and practices that would facilitate agility in faculty members. Faculty members shoulder the responsibility of molding the future generation, and hence, it is important that they are competent enough to impart quality education. The policymakers should focus on policies and practices that leverage human resource potential and support an innovative climate that nurtures entrepreneurial activities in engineering institutions.,So far research on workforce agility has predominantly focused on the manufacturing sector. Despite the workforce (refers to faculty members here) being crucial in contributing to the progress of universities and colleges, very little work is done on how faculty members can be made agile. Application of the TISM method in identifying the variables that can facilitate faculty members' agility in engineering institutions in India is a new and original contribution to the literature on workforce agility.