M. Suresh

Bio: M. Suresh is an academic researcher from Amrita Vishwa Vidyapeetham. The author has contributed to research in topics: Agile software development & Process management. The author has an hindex of 17, co-authored 81 publications receiving 918 citations. Previous affiliations of M. Suresh include Indian Institute of Technology Bombay.

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 Enablers of Workforce Agility in IoT Projects: A TISM Approach

Abstract: IoT projects can be categorized as high technology with an extremely dynamic product development lifecycle. To be a leader under such conditions, organizations need to focus priorities on achieving shorter product development cycle along with organization agility and workforce agility. Many researchers have tried to identify the enablers that affect workforce agility in different segments, but none has really looked into the IoT project environment. In this paper, efforts are taken to model the enablers of workforce agility in IoT projects and to understand the interrelationship among enablers using total interpretive structural modelling. The current study makes an attempt to provide a hierarchical structure representing the driving enablers and the dependent enablers and to give the order of enablers with respect to influence on workforce agility. Results indicate that employee proactivity, innovativeness, resiliency skills and ownership or self-motivation bring agility in the workforce. These enablers help employees to act in all decision-making situations to achieve IoT organization goals faster.

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 Enablers of Agile Performance in Healthcare Organization: A TISM Approach

Abstract: This study attempts to model the enablers of agility of healthcare organizations and interprets the interrelationship among them using total interpretive structural modelling (TISM). Its contribution to the knowledge base is twofold. First, it provides a hierarchical structure portraying the driving enablers and the dependent enablers. Second, it ranks the enablers based on their influence on organization agility. To accomplish the above objectives, ten enablers of organization agility have been identified through an extensive literature review followed by an expert interview to comprehend the interactions and transitivity between the enablers and finally an analysis of the interrelationship using TISM. The results suggest that organizational structure is the most crucial enabler of agile performance in healthcare organization. Apart from that, a motivated and flexible workforce, cooperation between management and employees, availability of training and implementation of employee and patient’s suggestion play a significant role in healthcare organization agility. Eventually, limitations and future research avenues have been outlined to extend the current study.

Factors influencing lean implementation in healthcare organizations: An ISM approach

Abstract: Healthcare organizations implement lean practices to improve service quality and competitive advantage. It eliminates the process waste leading to improved healthcare service at a reduced cost. This study attempts to analyse the relationship among the factors that influence implementation success using Interpretive Structural Modelling (ISM). Its contribution to the body of knowledge is twofold. First, it provides a hierarchical structure displaying the driving and dependent factors. Second, it ranks the factors affecting the implementation success based on the degree of influence. The factors have been identified by taking inputs from existing literature and expert opinion. The conceptual relationship among the factors has been determined by conducting a survey among healthcare professionals and the final analysis has been done using ISM. The findings suggest that leadership is the most crucial factor for a successful implementation. Apart from this, having a clear goal in advance for the project...

Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study

Abstract: Summary Background Since December, 2019, Wuhan, China, has experienced an outbreak of coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Epidemiological and clinical characteristics of patients with COVID-19 have been reported but risk factors for mortality and a detailed clinical course of illness, including viral shedding, have not been well described. Methods In this retrospective, multicentre cohort study, we included all adult inpatients (≥18 years old) with laboratory-confirmed COVID-19 from Jinyintan Hospital and Wuhan Pulmonary Hospital (Wuhan, China) who had been discharged or had died by Jan 31, 2020. Demographic, clinical, treatment, and laboratory data, including serial samples for viral RNA detection, were extracted from electronic medical records and compared between survivors and non-survivors. We used univariable and multivariable logistic regression methods to explore the risk factors associated with in-hospital death. Findings 191 patients (135 from Jinyintan Hospital and 56 from Wuhan Pulmonary Hospital) were included in this study, of whom 137 were discharged and 54 died in hospital. 91 (48%) patients had a comorbidity, with hypertension being the most common (58 [30%] patients), followed by diabetes (36 [19%] patients) and coronary heart disease (15 [8%] patients). Multivariable regression showed increasing odds of in-hospital death associated with older age (odds ratio 1·10, 95% CI 1·03–1·17, per year increase; p=0·0043), higher Sequential Organ Failure Assessment (SOFA) score (5·65, 2·61–12·23; p Interpretation The potential risk factors of older age, high SOFA score, and d-dimer greater than 1 μg/mL could help clinicians to identify patients with poor prognosis at an early stage. Prolonged viral shedding provides the rationale for a strategy of isolation of infected patients and optimal antiviral interventions in the future. Funding Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences; National Science Grant for Distinguished Young Scholars; National Key Research and Development Program of China; The Beijing Science and Technology Project; and Major Projects of National Science and Technology on New Drug Creation and Development.

The impact of entrepreneurship education in higher education: A systematic review and research agenda

Abstract: Using a teaching model framework, we systematically review empirical evidence on the impact of entrepreneurship education (EE) in higher education on a range of learning outcomes, analysing 159 published articles from 2004-2016. The teaching model framework allows us for the first time to start rigorously examining relationships between pedagogical methods and specific outcomes. Re-confirming past reviews and meta-analyses, we find that EE impact research still predominantly focuses on short-term and subjective outcome measures and tends to severely under-describe the actual pedagogies being tested. Moreover, we use our review to provide an up-to-date and empirically rooted call for less obvious, yet greatly promising, new or underemphasised directions for future research on the impact of university-based entrepreneurship education. This includes, for example, the use of novel impact indicators related to emotion and mindset, focus on the impact indicators related to the intention-to-behaviour transition, and explore the reasons for some of the contradictory findings in impact studies including person-, context- and pedagogical model-specific moderators.

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...

Analysis of International Tourist Arrivals Worldwide

Abstract: Using the panel data of 66 countries between 2000 and 2009, we study the positive effect of world heritage sites(WHSs) on the international tourism...