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The higher education efficiency evaluation model using the data envelopment analysis method has interested many researchers. This paper uses bibliometric analysis on publications extracted from the Scopus database to provide a comprehensive overview of research publications on the measurement of higher education efficiency based on data envelopment analysis: its growth rate, major collaboration networks, the most important and popular research topic. A total of 169 related publications were collected and analyzed from 1988 to 2021. The analysis results show that: Publications published every year have increased sharply in the last six years; The quality of publications is relatively high as publications tend to be published in journals with high-ranking indexes; Countries with the most influence in studies on this topic are: Italy, China, Spain, the USA, and the United Kingdom; Authors with the most influence in this research direction are Agasisti T., Abbott M., Doucouliagos C., Avkiran N.K., and Johnes J.; The research cooperation among countries and among affiliations is not strong. Finally, the paper has provided recommendations for future studies based on the findings.

In this research paper, the researcher has attempted to study the effect of capital structure on the financial performance of selected paper manufacturing firms in India. Secondary data have been used. The study period was of five years from 20014-2015 to 2018-2019. Accounting ratio and statistical tools like descriptive statistics, correlation matrix, and penal data analysis have been used. The result of the descriptive statistics shows that ROA, ROCE, EPS and valuation indicate good financial performance. While the debt-equity ratio shows debt is more than equity in the capital structure. The researcher identified four financial indicators, namely ROA, ROCE, EPS and Valuation. The researcher has also identified debt-equity ratio, long term debt-equity ratio, a log of debt, firm size and interest coverage ratio as dependent variables. Model-1 indicates that ROS is significantly affected by the interest coverage ratio, wherein fixed-effect model ROA is also affected by the interest coverage ratio. Model-2 shows that there is a significant effect of debtequity ratio long term debt-equity ratio and interest coverage ratio on RCOE. The fixed-effect model shows that only firm size and interest coverage have a significant effect on ROCE. Model-3 shows that the debt-equity ratio, long term debt-equity ratio, firm size, a log of debt and interest coverage ratio is insignificant to EPS. Wherein firm size is significant to EPS in fixed effect mode. Another variable like the debt-equity ratio, long term debt-equity ratio, a log of debt and interest coverage ratio is insignificant to EPS. Model-4 indicates that firm size is significant to the valuation. The fixedeffect model shows that all independent variables are insignificant to valuation. [ABSTRACT FROM AUTHOR]

Mapping India's vast, complex, and unruly education system through the systematic generation of accurate and current data, and encouraging accountability by persuading a diverse array of actors to engage with such data, is an ambitious, if not heroic, project. Yet this is what India's Education Information Management System (EMIS), the Unified District Information System of Education (U-DISE), has set out to do. This digital platform must persuade actors in India's 1.5 million schools to regularly upload trustworthy data to populate the database. A range of actors must be cajoled into becoming data-informed, to plan and strategize, and to enforce accountability. This paper traces how U-DISE attempts to impose its desires on a range of distributed actors, and how these actors respond to its overtures. Using concepts from Science and Technology Studies (STS), and based on interviews with the designers of U-DISE, central and state government officials, school-level data coordinators and NGOs and activists, as well as policy documents and government websites, we argue in this paper that, to realise their ambitions, digital platforms not only aim to "be" 'user friendly', but also engage in efforts to "make the user friendly."

For those receiving funding from the UK HEFCE-funded Open Educational Resource Programme (2009-2012), the sustainability of project outputs was one of a number of essential goals. Our approach for the hosting and distribution of health and life science open educational resources (OER) was based on the utilisation of the WordPress.org blogging platform and search engine optimisation (SEO) techniques to curate content and widen discovery. This paper outlines the approaches taken and tools used at the time, and reflects upon the effectiveness of web strategies several years post-funding. The paper concludes that using WordPress.org as a platform for sharing and curating OER, and the adoption of a pragmatic approach to SEO, offers cheap and simple ways for small-scale open education projects to be effective and sustainable.

Maximum number of privately funded engineering institutions have been established in India in the last two decades to meet the growing needs of technical manpower required by the Engineering and IT companies as well as aspiring students after completion of the Pre-University Program. However, a large number of institutions have not been able to attract the talented students for their undergraduate programs. The private managements of those institutions have realized then, the need for maintaining high quality in imparting engineering education. In addition, the regulatory bodies like NBA insist on maintaining the quality in the educational programs before giving accreditation. Therefore, the young institutes need to know the best practices adopted by the high performing institutions and introduce those best practices in their programs. In this paper, an attempt has been made to identify the best practices of the reputed and ranking institutes, to classify and codify those practices so as to enable the young institutes to implement them. Quality indicators have been identified through literature review, by summarizing previous studies, by conducting discussion with experts in the field. A few top ranked engineering institutions are selected to identify and list the best practices, by referring to the finding of various magazines. Practices followed with respect to the quality indicators identified have been composed by conducting structured interviews and discussions with various core groups and stake holders of these institutions. The details of literature review, data collection & analysis, findings and policy implications of the research work are presented in this paper. The best practices enlisted through this study will act as guidelines to implement the quality initiatives for the young institutions.

This article attempts to highlight quantitatively the growth and development of world literature on hemophilia in terms of publications output as per SCOPUS database (2003-2017). During 2003-2017 a total of 13503 papers were published by the scientists in the field of hemophilia. The average number of publications published per year was 900. The highest number of publications 1095 was published in 2012. Out of 13503 contributions, only 18.48% (2495 papers) of single authored and rest of 11008 papers (81.52%) were multi authored. The study identifies active institutions and country-wise distributions of hemophilia research output. The yearly analysis of data shows that there is a rapid growth of literature from 2011 onwards. There were 126 countries involved in the research in this field. USA is the top producing country with 3986 authorships (29.52%) followed by United Kingdom with 1438 authorships (10.65%). Still, in an international sense, relative productivity of India is low and requires more focused research and development. [ABSTRACT FROM AUTHOR]

To recover the global economy, China in 2013 called for a new global strategy, namely, "One Belt and One Road Initiative" (BRI), which aims at reinforcing regional economic cooperation, enhancing regional collaboration of economic policy, and realizing the goal of rapid economic development of member countries. Accelerating industrialization not only has been recognized as an effective way to stimulate economic development, but also lead to the serious issue of environmental pollution, which challenges the environmental sustainability. In this study, we focus on the industrializing region as a study area to investigate the driving factors of environmental pollution. Technically, we utilized satellite observation technique to obtain NO 2 columns data to denote environmental pollution and then applied dynamic spatial panel data models to evaluate what affects NO 2 pollution levels. The findings are the following. (1) NO 2 pollution exhibits significant and positive spatial autocorrelation, indicating spatial spillovers of NO 2 pollution. (2) Lebanon, Bangladesh, Kyrgyzstan, and India experienced the largest increase of NO 2 pollution while NO 2 pollution in Singapore, Hungary, Greece, and Ukraine was substantially reduced. (3) The results of the dynamic spatial panel data models show that both the time dynamics effects and the spatial spillover effects are found to be significant and positive. In other words, both effects should be considered. Population is the foremost contributor to increase NO 2 pollution while urbanization is an effective way to reduce pollution. An EKC relationship between NO 2 pollution and per capita income was verified. Besides, industrialization, foreign direct investment, and trade openness have positive impacts on NO 2 pollution.

Background The implementation of comprehensive smoke-free laws has been associated with reductions in second-hand smoke exposure at home in several high income countries. There is little information on whether these benefits extend to low income and middle income countries with a growing tobacco-related disease burden such as India. Methods State and individual-level analysis of cross-sectional data from the Global Adult Tobacco Survey India, 2009/2010. Associations between working in a smoke-free indoor environment and living in a smoke-free home were examined using correlation at the state level, and multivariate logistic regression at the individual level. Results The percentage of respondents employed indoors (outside the home) working in smoke-free environments who lived in a smoke-free home was 64.0% compared with 41.7% of those who worked where smoking occurred. Indian states with higher proportions of smoke-free workplaces had higher proportions of smoke-free homes (rs=0.54, p<0.005). In the individual-level analysis, working in a smoke-free workplace was associated with a significantly higher likelihood of living in a smoke-free home (adjusted OR=2.07; 95% CI 1.64 to 2.52) after adjustment for potential confounders. Conclusions Implementation of smoke-free legislation in India was associated with a higher proportion of adults reporting a smoke-free home. These findings further strengthen the case for accelerated implementation of Article 8 of the Framework Convention on Tobacco Control (FCTC) in low and middle income countries. [ABSTRACT FROM AUTHOR]

In this article, the authors discusses the Sample Registration System (SRS)-based life table data on the increasing trends of child mortality in India. It mentions that the negative connection of child immunization, better socio-economic status and nutritional status suggests that there is no reason to believe on the estimation of SRS on the increasing rate of child mortality. It suggests that the SRS must consider biases on the unknown origin of present data to avoid erroneous interpretations.

English being a global language has become a vital element in all walks of life. The feelers of this language have left no sphere unmarked with its significance. Despite such a colossal tide for gaining command over the language it was found that the conventional pattern of teaching English language could not reap desired results. A comprehensive and analytical study of the aforesaid problem stirred researchers to work in this area. In order to enhance the communication skills of native speakers, practical implications were incorporated to theoretical principles of English Language teaching/learning. The present paper discusses the application and results of the experimental procedure of the effective techniques employed in English teaching/learning. The various techniques used in the modus operandi of enhancing the communication skills of the students were small talk conversations, SWOT analysis, phonetics, avoiding Indianism, vocabulary building through mnemonics and root words, describing and narrating visual stimulus, listening to important speeches followed by comprehension, sharing reviews after watching motivational videos/movies, peer learning and delivering effective presentations. The learning outcomes of the aforesaid activities included better reasoning, enhanced thought process, ability to concoct innovative ideas, command over language, improved communication skills, fluency etc.

In the modern era, the rapid use of the Internet has led to reports of cybercrimes. The number of cybercrimes Is constantly Increasing. The purpose of this paper is to identify the root causes of cybercrime and find insights that can be used by the administration to take fruitful decisions to overcome cybercrime offenses. It has collected data related to the registered cybercrime cases in various Indian states on different parameters for the years 2016 to 2019. The preprocessing was applied to individual datasets, and a common data set was prepared. Data analysis using Power BI (business intelligence) and Microsoft (MS) Excel tools was performed for the Indian states, and its impact was analyzed through year-wise analysis. The outcome of this paper can be utilized by the Indian administration, cyber experts, working professionals, and users to take care of the affecting factors and limit cybercrimes. [ABSTRACT FROM AUTHOR]

Active Learning in Maths and Science (ALMS) was a six-month face-to-face professional development program for middle school maths and science teachers carried out between June and November, 2010 in two Indian states. ALMS's theory of action is grounded in the belief that collaborative learning serves as a "gateway" to learner-centered instruction. Designers theorized that this shift from individual to collaborative learning would redefine the teacher's role; alter the teacher and student relationship; change teachers' organizational, instructional and assessment practices; and begin to lay the groundwork for an eventual shift toward full learner-centered instruction. As this paper will discuss, this proposed theory of action was largely confirmed. Over 80 percent of teachers across the two states regularly implemented collaborative learning techniques and began the larger journey toward learner-centered instruction. This implementation also resulted in a number of benefits for students, including greater levels of engagement, increased confidence, and improved behavior. The research also suggests that when teachers see positive changes as a result of their actions, their deeply-held beliefs about traditional instruction may conflict with what they in fact witnessed in their classrooms. This is the beginning of the evolution of change.

In this paper, we argue for a view of analysis as an embodied practice and review others' testimonies of carrying out multimodal ethnography. This review suggests that metaphors are key for communicating what happens to "us" in the course of the research and our subsequent sense-making practices. We identify four metaphors for communicating data collection and analytic practices: "composing," "meandering," "plundering" and "time travel." We then turn to our own multimodal fieldwork with children in middle childhood, to think about the experiences and emergent metaphors that shaped our practice on an international study looking at the relationship between childhood and public life. Children's "play" was instructive in our own formation as multimodal ethnographers. We provide examples of the ways in which children recruited us into their play, the ways in which play taught us about what matters to children, and finally, how we took play into our own analytical practices.

This systematic review is built on the seminal work by the New London Group in 1996. Few endeavours have synthesized findings of empirical studies pertaining to the effects and challenges of multiliteracies practices in various schooling and geographical contexts. Through a five-point Likert scale and a deductive and inductive thematic analysis, we conducted a systematic review of 66 multiliteracies articles from the ProQuest® database. These studies were empirical, qualitative/mixed-method, and ranged from 2006 to 2015. Findings show a burgeoning number of multiliteracies studies occurring in 15 countries, with Canada being the most prominently involved. Our evaluation of the reviewed studies was generally favourable with strengths identified in researchers' articulation of pertinent theoretical frameworks and connections to existent literature. Our findings refer to insufficient information of data collection and data analysis in a certain number of papers. We also elaborate on major affordances, challenges, and oversights of the multiliteracies practices as reported by the reviewed studies and discuss implications for future multiliteracies research, policies on literacy education, and teacher education in diverse contexts.

Fieldwork is an essential component in Geography education. Learning through research in Geography involves generating substantial data and data manipulation. In order to make geographical inquiry a worthwhile learning experience, researchers require a seamless system that allows data collection and analysis without being distracted by the multiple methods and equipment used. NIEmGeo is a mobile application that is developed with an aim to support integrative geographic learning, both during fieldwork and during subsequent data analysis. The system has been used successfully by more than 100 students in several undergraduate courses. The paper discusses the salient features of the application, analyses the usage of field researchers, and discusses the viability of the application as a field and post-field support system for field-based learning in Geography. Some observed limitations and future research directions are also discussed.

As the wealth of information available on the Web increases, Web-based information seeking becomes a more and more important skill for supporting both formal education and lifelong learning. However, Web-based information access poses hurdles that must be overcome by certain student populations, such as low English competency users, low literacy users, or what we will refer to as "emerging Internet users." The challenge springs from the fact that the bulk of information available on the Web is provided in a small number of high profile languages such as English, Korean, and Chinese. These issues continue to be problematic despite research in cross-linguistic information retrieval and machine translation. These technologies are still too brittle for extensive use by these user populations for the purpose of bridging the language gulf. In this paper, we propose a mixed-methods approach to addressing these issues specifically in connection with emerging Internet users, with data mining as a key component. Our target emerging Internet users are rural children who have recently become part of a technical university student population in the Indian state of Andhra Pradesh. As Internet penetration increases in the developing world and at the same time populations shift from rural to urban life, such populations of emerging Internet users will be an important target for design of scaffolding and educational support. In this context, in addition to using the Internet for their own personal information needs, students are expected to be able to receive assignments in English and use the Web to meet the information needs specified in their assignments. Thus, we begin our investigation with a small, qualitative study in which we investigate in detail the problems faced by these students responding to search tasks given to them in English. We first present a qualitative analysis of the result write-up in response to the given information-seeking task along with some observations about the corresponding search behavior. This analysis reveals difficulties posed by the strategies students were observed to employ to compensate for difficulties understanding the search task statement and retrieved materials. Based on these specific observations, we present an extensive controlled study in which we manipulate both characteristics of the search task as well as the manner in which it was presented (i.e., in English only, in the native language of Telugu only, or presented both in English and the native language) in order to understand how a light form of support might impact task success for these information seeking tasks. One important contribution of this work is a dataset from roughly 2,000 users including their pre-search response to the task statement, a log of their click behavior during search, and their post-search write up. A data mining methodology is presented that allows us to understand more broadly the difficulties faced by this student population as well as how the experimental manipulation affects their search behavior. Results suggest that using machine translation for the limited task of translating information seeking task statements, which is more feasible than translating queries or large scale translation of search results, may be beneficial for these users depending on the type of task. The data mining methodology itself, which can be applied as an assessment technique for evaluating search behavior in subsequent research, is a second contribution. Finally, the findings from statistical analysis of the study results and data mining are a third contribution of the work.

Purpose: Within a connectivist learning model, the purpose of this paper is to investigate the adoption of social media for educational purposes in India, a hitherto unexplored area of research. The basic research thrust is on students' experiences when social media is incorporated into higher education. This research tries to gather evidence on the effectiveness of this role and its potential future role as a facilitator and enhancer of learning in the Indian system. Design/methodology/approach: The current research draws on the perspectives of the students regarding the adoption of social media for educational purposes. The data collection was done in two separate stages. Stratified random sampling was applied and a structured questionnaire was sent via e-mail. Usable responses were received from 568 respondents. The second stage consisted of an exploratory qualitative study using in-depth interviews and reflections of 250 students from the original sample. Findings: Four clear themes emerged from the responses collected via the structured questionnaire and particularly from the in-depth interviews. These include: widespread usage of social media, definite usage in business education, strengths of social media in business education and the flip side of learning with social media. One thing is certain: social media will continue to play an important role in the Indian education sector. A number of colleges and universities in India are including social media in their pedagogy, but the challenge lies in effectively aligning it with curriculum. Practical implications: Despite the widespread use of online social media for communication and entertainment, the use in the educational sphere seems to be less. This year-long study tries to gather evidence on all these issues. No doubt social media's contribution in the classroom depicts a rising interest in technology as a tool to assist learning but it also reinforces a paradigm shift in the way students learn. Social implications: With nearly a billion people on mobile phones, the online system certainly has vast potential to create the right kind of learning. As this study has shown at a micro-level, technology-led reach and easy access is bringing about a socio-economic difference in the lives of Indian learners. While this study certainly supports digital learning in India it points out that higher educational institutions are yet to exploit its full advantage for better student engagement. Originality/value: One key characteristic of this generation is that they are very education oriented. Due to the relative freshness of the approach in India and fairly restricted use in the Indian higher education system, empirical studies are limited and the impact of social media on student engagement in the higher education system in India is not known.

Artificial Intelligence technologies have elicited a range of policy responses in India, particularly as the Government of India attempts to position and project the country as a global leader in the production of AI technologies. Policy responses have ranged from providing public infrastructure to enable market-led AI production, to nationalising datasets in an effort to enable Big Data analysis through AI. This paper examines the recent history of AI policy in India from a critical political economy perspective, and argues that AI policy and governance in India constructs and legitimises a globally-dominant paradigm of informational capitalism, based on the construction of data as a productive resource for an information-based economic production, and encouraging self-regulation of harmful impacts by firms, even as it attempts to secure a strong hand for the state to determine, both through law and infrastructure, how such a market is structured and to what ends. [ABSTRACT FROM AUTHOR]

An important research area in education and technology is how the learners use e-learning. By exploring the various factors and relationships between them, we can get an insight into the learners' behaviors for delivering tailored e-content required by them. Although many tools exist to record detailed navigational activities, they don't explore the learners' usage patterns for an adaptive e-learning site. The previous web log data analyses, done so far, have been very limited in their scope as they lack detailed empirical results on the learning technology usage. This paper discusses the detailed results of a case study of web data mining in a specific e-learning application. The main objective of this study is to conduct research on usability and effectiveness of the e-content by analyzing the web log. For this, a suitable data set was retrieved from raw web log records, to which various web mining and statistical techniques could be applied. We have evaluated different features of e-content that can lead to better learning outcomes for the learners, by understanding their navigational behaviors, their interaction with system and their area of interest. We found, for example, what sequence of topics were the most liked and the least liked by the learners; we also found that these patterns lead us to hypothesize the correlation and regression analysis between the average time, test score and total attempts.

Solar energy is one of the most important and rapidly developing technologies in India. In recent years, India's attempts to increase the share of solar energy in electricity generation have led to the use of all renewable energy sources in electricity generation. It does not require fuel and has no negative impact on the environment. This research paper compared real-time data for off-grid and floating Photovoltaic (PV) systems. A stand-alone photovoltaic system assumes that a battery is used to store energy. He encountered a problem with the heating on the ground or on the roof, causing the panel's efficiency to drop. A floating solar panel is a novel solution to the problem of scarce land and rising panel temperatures in standalone systems. The efficiency of a floating PV system is higher than that of a stand-alone PV system because the water constantly cools the temperature of the floating solar panel. This paper explored the performance of both standalone and floating PV modules. The systems used the Maximum Power Point Tracking (MPPT) approach and the simulations were performed in MATLAB. Other MPPT algorithms are available, but this is the one uses the Perturb and Observe (P & O) technique. [ABSTRACT FROM AUTHOR]

Background: According to the renowned and Oscar award-winning American actor and film director Marlon Brando, "privacy is not something that I am merely entitled to, it is an absolute prerequisite." Privacy threats and data breaches occur daily, and countries are mitigating the consequences caused by privacy and data breaches. The Indian healthcare industry is one of the largest and rapidly developing industry. Overall, healthcare management is changing from disease-centric into patient-centric systems. Healthcare data analysis also plays a crucial role in healthcare management, and the privacy of patient records must receive equal attention. Purpose: This paper mainly presents the utility and privacy factors of the Indian healthcare data and discusses the utility aspect and privacy problems concerning Indian healthcare systems. It defines policies that reform Indian healthcare systems. The case study of the NITI Aayog report is presented to explain how reformation occurs in Indian healthcare systems. Findings: It is found that there have been numerous research studies conducted on Indian healthcare data across all dimensions; however, privacy problems in healthcare, specifically in India, are caused by prevalent complacency, culture, politics, budget limitations, large population, and existing infrastructures. This paper reviews the Indian healthcare system and the applications that drive it. Additionally, the paper also maps that how privacy issues are happening in every healthcare sector in India. Originality/Value: To understand these factors and gain insights, understanding Indian healthcare systems first is crucial. To the best of our knowledge, we found no recent papers that thoroughly reviewed the Indian healthcare system and its privacy issues. The paper is original in terms of its overview of the healthcare system and privacy issues. Social Implications: Privacy has been the most ignored part of the Indian healthcare system. With India being a country with a population of 130 billion, much healthcare data are generated every day. The chances of data breaches and other privacy violations on such sensitive data cannot be avoided as they cause severe concerns for individuals. This paper segregates the healthcare system's advances and lists the privacy that needs to be addressed first. [ABSTRACT FROM AUTHOR]

With the announcement of "The Employment of Manual Scavengers and Construction of Dry Latrines (Prohibition) Act, 1993," the practice of manual scavenging became illegal in India. The manual scavenging problem as a practice is prolonged because of the lack of technological progress and political and administrative will to implement reformative laws on the ground. The Indological text has a particular interpretation of manual scavenging, constituting the basis of caste ideologies and practices. Using qualitative data, the present study encapsulates the transformation of manual scavenging from an overlooked issue to one that demands attention and understanding. It sets the tone for a comprehensive exploration of the historical, social, and policy dimensions surrounding manual scavenging in India. The paper argues that most of the legislative and executive decisions have landed on the terrain of totemism, purity & pollution and are heavily ritualised in the ideological framework, contributing least to the practice. [ABSTRACT FROM AUTHOR]

This paper demonstrates the meaningful application of learning analytics for determining dropout predictors in the context of open and distance learning in a large developing country. The study was conducted at the Directorate of Distance Education at the University of North Bengal, West Bengal, India. This study employed a quantitative research design using a data mining approach to examine the predictive relationship between pre-entry demographic variables of learners with their dropout behaviour. Demographic and academic variables of learners, such as gender, marital and employment status, subject chosen, social status, age and income status were taken as independent or explanatory variables for predicting the response variables. Data analysis showed that the pattern of learner attrition is strongly biased towards a relatively disadvantaged category of learners, namely married and employed learners and those belonging to a higher age group. It also indicated that employed men or married women are more likely to leave due to factors such as pregnancy or relocation, and that remoteness of location of residence contributed to a high dropout rate. The results of this study provide important input for counsellors and faculty members to advise learners for best possible completion options.

Purpose: Despite existence of a constitutional demarcation of functions and finances between the centre and the states, it is alleged that the centre-state funds transfer systems in India have a political bargaining aspect that goes beyond the normative considerations. This paper makes an attempt to investigate if the political system allows to evolve a simple, equitable, objective and rule-based system of transfers. The aim of this paper is to explore the political economic determinants of discretionary fiscal transfers in India. Design/methodology/approach: This paper is based on a panel data set of 28 Indian states for the period 2001–2014. After diagnostic checking for fixed effects/random effects, the authors prefer to use fixed effects regression with Driscoll–Kraay standard errors and Arellano–Bover/Blundel and Bond system estimation model that uses moment conditions in which lagged first differences of the dependent variable are instruments for the level equation. Findings: The findings of this study reveal that fiscal performance, economic capacity and political alliance are significant but some other political determinants such as bargaining power and election years are not significant in influencing discretionary transfers. Originality/value: Considering the limited availability of literature on federal finance, the present paper is an addition to the existing research, especially on a crucial issue concerning extra-constitutional fiscal transfers in India. Analysing a balanced panel comprising all the Indian states and examining the role of various political-economic determinants makes this paper topical. [ABSTRACT FROM AUTHOR]

Purpose: The paper explores why local disaster scholars often fail to put the needs of local people at the centre of their research. Specifically, it explores two questions: (1) why local concerns are often not reflected in the research agenda? And (2) why we are falling behind in generating locally applicable disaster knowledge? The paper engages with the experiences of local disaster researchers to answer the research questions. Design/methodology/approach: A qualitative approach was undertaken to conduct the study. In total, 15 in-depth interviews were conducted with practitioners and academics working in the domain of disaster studies in different regions of India. Criterion sampling was employed to recruit the participants. An interview guide with open ended questions was used to conduct the interviews. The data were thematically analysed utilizing qualitative data analysis software to arrive at the findings. Findings: The participants identified three potential reasons behind the lack of locally relevant disaster research. First, the existing concepts and terminologies which guide disaster research are often inadequate to represent the local reality. Second, "foreign" funders and policymakers often influence the agenda and emphasis of the research which creates barriers in developing research agenda relevant to the local needs. The time-bound project format of research is often problematic. It resembles looking at the community through a peephole which hardly gives the whole picture. Third, resource constraints also create substantial hindrances in conducting locally relevant research. Research limitations/implications: The sample only included participants who believed that disaster research is often not relevant locally in India. Participants having different standpoints on the issue were not included which remains as a limitation of the study. Practical implications: The research highlights the challenges that local researchers face while conducting locally relevant research and how they can be overcome. The author expects that the findings of the research will help in challenging and transforming established practices in disaster studies and bridging the gap between disaster research and vulnerable people. Originality/value: This paper is valuable because it documents the perspectives of local researchers on the barriers that need to be overcome to produce locally relevant disaster research. [ABSTRACT FROM AUTHOR]

There is clear research-based evidence suggesting the mathematical gifts of children are not appropriately nurtured. Practices associated with the standard core curriculum renders them frustrated and bored. This paper represents an attempt to echo the voices of these children in order for their needs to be more properly met. It is based on a research study done on mathematically gifted pupils studying in grade IX and X in schools of Delhi, India. It focuses on a number of case studies of mathematically gifted children to identify their learning needs and the teachers' understanding of those needs. Research analysis helped to develop a need-based profile which, after careful and detailed analysis, led to the Need Based Curriculum Model. The NBCM can be implemented in the regular classes without much alteration. A brief scheme of content organisation is presented as an example. (Contains 4 figures.)

The article presents information on qualitative and quantitative data which reports the foraging shift of honey bees and reduction in the population of honey bees. As stated, colony collapse disaster is considered as the main cause for decline in bee population and agricultural productivity. It is further mentioned that urbanization has resulted in excessive use of disposable cups which may lead to bee collapse in India and in rest of the world.

Abstract: By analyzing COSMIC data, found more than 50% reduction in electron density during a solar eclipse at the F2-layer and above, with the peak of ∼70% at 370km. So great eclipse effect on topside ionosphere was very abnormal and much different from previous studies. However, by comparing the cosmic data with IRI results, we find that the abnormal reduction comes mainly from the significant local time variation at sunrise, not from the eclipse effect. Furthermore, we simulated the eclipse effect by using a theoretical model to confirm our analysis. [Copyright &y& Elsevier]

Purpose: This paper aims to investigate the association of COVID-19 confirmed cases and deaths with mental health, unemployment and financial markets-related search terms for the USA, the UK, India and worldwide using Google Trends. Design/methodology/approach: The authors use Spearman's rank correlation coefficients to assess the relationship between relative search volumes (RSVs) and mental health, unemployment and financial markets-related search terms, with the total confirmed COVID-19 cases as well as deaths in the USA, UK, India and worldwide. The sample period starts from the day 100 cases were reported for the first time, which is 7 March 2020, 13 March 2020, 23 March 2020 and 28 January 2020 for the US, the UK, India and worldwide, respectively, and ends on 25 June 2020. Findings: The results indicate a significant increase in anxiety, depression and stress leading to sleeping disorders or insomnia, further deteriorating mental health. The RSVs of employment are negatively significant, implying that people are hesitant to search for new jobs due to being susceptible to exposure, imposed lockdown and social distancing measures and changing employment patterns. The RSVs for financial terms exhibit the varying associations of COVID-19 cases and deaths with the stock market, loans, rent, etc. Research limitations/implications: This study has implications for the policymakers, health experts and the government. The state governments must provide proper medical facilities and holistic care to the affected population. It may be noted that the findings of this study only lead us to conclude about the relationship between COVID-19 cases and deaths and Google Trends searches, and do not as such indicate the effect on actual behaviour. Originality/value: To the best of the authors' knowledge, this is the first attempt to investigate the relationship between the number of COVID-19 cases and deaths in the USA, UK and India and at the global level and RSVs for mental health-related, job-related and financial keywords. [ABSTRACT FROM AUTHOR]

Background: Given India's high patient load on the existing healthcare setup, as well as political, social, and organizational challenges, the nursing sector is facing various problems, therefore leading to substandard nursing experiences leading to poor patient care at the parallel healthcare setups, specifically homecare. This paper presents self-managed organizations (SMOs) characterized by a horizontal management structure as an effective alternative to existing hierarchical management structures overladen with bureaucracy. Therefore, we are exploring the strategies at self-managed homecare organizations that can make nursing a better and more productive experience. Method: This study utilized Constructivist Grounded Theory (CGT), employing semi-structured interviews to explore nursing dynamics in horizontal organizational structures. It delved into crucial aspects like finances, organizational structure, value systems, information flow, and conflict resolution within SMOs. The methodology involved theoretical sampling, prioritizing expert self-management knowledge over mere representativeness. Seven nurses, twelve management members, and fifteen patients from self-managed homecare organizations contributed to the examination of nursing experiences. Constant comparative analysis of data led to the identification of the Qualitative Success Enablers (QSEs), revealing three themes: Insightfulness, Enhancing Nursing Experience through Job Enrichment, and Autonomy-Enabled Intrapreneurship. Results: The findings indicate that the horizontal management structure represented by the studied organization in India has shown considerable success in times laden with uncertainties during the COVID-19 pandemic, especially during the delta wave, which revealed the frailty of existing healthcare infrastructure. The organization successfully maintained a better nursing experience and gained patient and employee satisfaction, as revealed by in-depth semi-structured interviews and constant comparative analysis. Conclusion: In a world of unique challenges, we stand on the brink of significant transformations. SMOs are vital in India's homecare sector for enhancing nursing experiences and overall organizational performance. Fostering a trust-based environment within SMOs is integral to delivering effective services. The autonomy to design nursing jobs, insightfulness, and innovativeness in the nursing job through suitable training activities, various job enrichment methods, and finding meaningfulness in a job through softer aspects of caregiving result in an enhanced nursing experience at SMOs. This groundbreaking approach can be extended to other homecare organizations in India, relieving the strain on the existing healthcare system. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to test for spatial convergence in financial inclusion across major Indian states and union territories. Design/methodology/approach: After initially building an Index of Financial Inclusion (IFI) for major Indian states between 2003 and 2016, exploratory spatial data analysis (ESDA) is employed to draw inferences about mean and variance of IFI. The paper then seeks to confirm the ESDA results through spatial panel regression techniques. Finally, spatial results are correlated with results from aspatial convergence measures. Findings: The study finds that there is no evidence of spatial convergence in financial inclusion over the study period, suggesting that those states that were relatively less financially included remained so through the study period. The study also asserts the relevance of certain important determinants, namely, per capita income, infrastructure, industrialization and gender. Research limitations/implications: This study has two limitations. First, only banking institutions are considered in measuring financial inclusion. Second, due to lack of a consistent indicator of gender participation across states, we had to employ sex ratio as a proxy. Practical implications: The study suggests that policies to expand financial inclusion in Indian states, especially those with low inclusion levels are likely to benefit neighbouring states also, thereby accelerating the financial inclusion drive across states. Originality/value: The study is a first in the Indian context to estimate the spatial dependence of financial inclusion and provides relevant implications for policymakers and bankers to target financial inclusion schemes in backward states. [ABSTRACT FROM AUTHOR]

This paper presents several novel findings from a comprehensive analysis of about 50,000 Tweets about online learning during COVID-19, posted on Twitter between 9 November 2021 and 13 July 2022. First, the results of sentiment analysis from VADER, Afinn, and TextBlob show that a higher percentage of these Tweets were positive. The results of gender-specific sentiment analysis indicate that for positive Tweets, negative Tweets, and neutral Tweets, between males and females, males posted a higher percentage of the Tweets. Second, the results from subjectivity analysis show that the percentage of least opinionated, neutral opinionated, and highly opinionated Tweets were 56.568%, 30.898%, and 12.534%, respectively. The gender-specific results for subjectivity analysis indicate that females posted a higher percentage of highly opinionated Tweets as compared to males. However, males posted a higher percentage of least opinionated and neutral opinionated Tweets as compared to females. Third, toxicity detection was performed on the Tweets to detect different categories of toxic content—toxicity, obscene, identity attack, insult, threat, and sexually explicit. The gender-specific analysis of the percentage of Tweets posted by each gender for each of these categories of toxic content revealed several novel insights related to the degree, type, variations, and trends of toxic content posted by males and females related to online learning. Fourth, the average activity of males and females per month in this context was calculated. The findings indicate that the average activity of females was higher in all months as compared to males other than March 2022. Finally, country-specific tweeting patterns of males and females were also performed which presented multiple novel insights, for instance, in India, a higher percentage of the Tweets about online learning during COVID-19 were posted by males as compared to females. [ABSTRACT FROM AUTHOR]

This paper applies Information and Communication Technologies (ICT) as well as data analysis to gain a better understanding of the existing perception on the education system. 45,278 tweets were downloaded and processed. Using a lexicon-based approach, examining the most frequently used words, and estimating similarities between terms, we detected that a predominantly negative perception of the education system exists in most of the analysed countries. A positive perception is identified in certain low-income nations. Men exhibit a more positive sentiment than women as well as a higher subjectivity in some countries. The countries that exhibit the most positive perceptions India, Canada, Pakistan, Australia, South Africa and Kenya are also those that manifest the highest subjectivity. [ABSTRACT FROM AUTHOR]

Background: Qualitative research methods (QRMs) bear a critical role in psychiatry as they explore the phenomenology of psychiatric illness and its sociocultural dimensions. However, there is limited evidence regarding its use in psychiatric research in India. Aim: This study, under the aegis of mapping qualitative health research in India initiative, attempted to landscape the use of QRMs in psychiatry and elicited expert opinion on its potential, perceived quality, and scope for improvement. Materials and Methods: We reviewed studies using qualitative methodology published in the Indian Journal of Psychiatry (IJP) and the abstracts presented at the Annual Conference of the Indian Psychiatric Society (ANCIPS) between 2010 and 2019. Titles and abstracts were screened and shortlisted; full-text articles were checked to identify the relevant ones. In addition, ten experts comprising psychiatry journal reviewers, editors, and conference scientific committee members were interviewed to elicit their views and suggestions. Results: Out of 356 papers published in IJP between 2010 and 2019, only 12 papers used QRMs: five qualitative and seven mixed methods. Out of 2297 abstracts published between 2010 and 2019 in ANCIPS, only 28 had used QRMs, consisting of 20 qualitative and eight mixed methods. The findings reveal that qualitative research is still an understudied domain in Indian psychiatry with a substantial need for rigor and quality. Conclusions: To catalyze the use of qualitative research in Indian psychiatry, continuing medical education programs through workshops or webinar mode need to be imparted. These trainings should aim at building skills on qualitative study design, data collection, analysis, and writing. [ABSTRACT FROM AUTHOR]

Educational Data Mining (EDM) is an emergent discipline for exploring data, and a method to support learning and teaching processes. In this paper, we proposed Educational Intelligence (EI) Framework by combining BI technologies with various EDM algorithm techniques. In last decade, the higher education in India has grown manifold. Private participation in establishing new institutions, encouraged by the government, forced the higher education to revisit their scope and objectives in the long run to sustain. This paper aim is to improve the efficiency of higher educational institutions by applying data mining techniques such as clustering, decision tree, association etc. This paper also describe that how data mining algorithms can be applied to higher education processes for enhancing student's performance. From the analysis of this framework, the groups of students who have excellent skills or vice versa can be identified. It also optimizes the time to perform current and historical data analysis. The weaknesses and strengths of the student can also be obtained. Finally, students' future potential areas of studies can be predicted using the framework. [ABSTRACT FROM AUTHOR]

Purpose: This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach: This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings: This research paper performs a sentiment analysis on the tweets of three food delivery app companies operating in India – UberEats, Zomato, and Swiggy. Most of the incoming tweets from customers concerned ordering and the delivery tracking experience, as well as the quality of the food. The public nature of Twitter means data about competitors can be analyzed to carve out a competitive advantage. Leaders and managers are therefore advised to create a strategy for social media-based competitor monitoring and competitor analysis, and to boost the opportunities for customers to experience positive emotions when interacting with the company on Twitter. Originality/value: The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format. [ABSTRACT FROM AUTHOR]

This paper aims to analyse the state-wise impact of literacy rates on the financial literacy rates in India. The OECD defines financial education as, "the process by which financial consumers/investors improve their understanding of financial products, concepts and risks and, through information, instruction and/or objective advice, develop the skills and confidence to become more aware of financial risks and opportunities, to make informed choices, to know where to go for help, and to take other effective actions to improve their financial well-being." Financial literacy has been gaining popularity more rapidly than ever in the recent past, amid both developing and developed countries alike. The objective of this paper is to the relationship between literacy rates on the financial literacy rates in India. The methodology employed is a statistical analysis of secondary data collected. The findings show that there exists a positive relationship between literacy levels and financial literacy levels. It is not a particularly strong relationship, though statistically significant. The paper concludes with recommendations and suggestions that could help improve financial literacy rates in India. [ABSTRACT FROM AUTHOR]

Female Workforce Participation Rate (FWFPR) declined in rural areas from 2004-05 onwards and it was lower than that of Male Workforce Participation Rate (MWFPR), both in rural and urban areas, in the case of India. We argue in this paper that for rural transformation (inter alia) the female labour force participation does matter. This motivated us to explore the answers for three main questions: Firstly, why FWFPR is important? Secondly, what are the trends in FWFPR in the case of India? And thirdly, what explains the decline in FWFPR in rural areas in the case of India? Using cross section data for 25 States and 7 Union Territories of India and through multiple linear regression technique, the study inds evidence that rural male workforce participation rate, rural non-farm sector share in employment, gender wage gap in rural areas and rural sex ratio are the four important variables which impact rural female workforce participation rate signiicantly. [ABSTRACT FROM AUTHOR]

Background: Crop yield prediction is an important issue for the proper selection of crop for sowing. Earlier prediction of crop is done by the farmer’s experience on a particular type of field and crop. Predicting the crop is done by the farmer’s experience based on the factors like soil types, climatic condition, seasons and weather, rainfall and irrigation facilities. Methods: Data mining techniques is the better choice for predicting the crop. Different Data Mining techniques are used and evaluated in agriculture for estimating the future year’s crop production. This research proposes and implements a system to predict crop yield from soil data. This is achieved by applying Decision Tree Algorithm on agricultural data. The main aim of this research is to pinpoint the accuracy of Decision Tree Algorithm and C 5.0 algorithm which is used to predict the crop yield. Result: This paper presents a brief analysis of Crop yield prediction using data mining technique based decision tree algorithm and C5.0 algorithm for the selected region (Krishnagiri) district of Tamil Nadu in India. The experimental result shows that the proposed work efficiently to determine the accuracy of decision tree algorithm and also to predict the crop yield production using R- Tool. [ABSTRACT FROM AUTHOR]

Background: Understanding causes and contributors to maternal mortality is critical from a quality improvement perspective to inform decision making and monitor progress toward ending preventable maternal mortality. The indicator "maternal death review coverage" is defined as the percentage of maternal deaths occurring in a facility that are audited. Both the numerator and denominator of this indicator are subject to misclassification errors, underreporting, and bias. This study assessed the validity of the indicator by examining both its numerator—the number and quality of death reviews—and denominator—the number of facility-based maternal deaths and comparing estimates of the indicator obtained from facility- versus district-level data. Methods and findings: We collected data on the number of maternal deaths and content of death reviews from all health facilities serving as birthing sites in 12 districts in three countries: Argentina, Ghana, and India. Additional data were extracted from health management information systems on the number and dates of maternal deaths and maternal death reviews reported from health facilities to the district-level. We tabulated the percentage of facility deaths with evidence of a review, the percentage of reviews that met the World Health Organization defined standard for maternal and perinatal death surveillance and response. Results were stratified by sociodemographic characteristics of women and facility location and type. We compared these estimates to that obtained using district-level data. and looked at evidence of the review at the district/provincial level. Study teams reviewed facility records at 34 facilities in Argentina, 51 facilities in Ghana, and 282 facilities in India. In total, we found 17 deaths in Argentina, 14 deaths in Ghana, and 58 deaths in India evidenced at facilities. Overall, >80% of deaths had evidence of a review at facilities. In India, a much lower percentage of deaths occurring at secondary-level facilities (61.1%) had evidence of a review compared to deaths in tertiary-level facilities (92.1%). In all three countries, only about half of deaths in each country had complete reviews: 58.8% (n = 10) in Argentina, 57.2% (n = 8) in Ghana, and 41.1% (n = 24) in India. Dramatic reductions in indicator value were seen in several subnational geographic areas, including Gonda and Meerut in India and Sunyani in Ghana. For example, in Gonda only three of the 18 reviews conducted at facilities met the definitional standard (16.7%), which caused the value of the indicator to decrease from 81.8% to 13.6%. Stratification by women's sociodemographic factors suggested systematic differences in completeness of reviews by women's age, place of residence, and timing of death. Conclusions: Our study assessed the validity of an important indicator for ending preventable deaths: the coverage of reviews of maternal deaths occurring in facilities in three study settings. We found discrepancies in deaths recorded at facilities and those reported to districts from facilities. Further, few maternal death reviews met global quality standards for completeness. The value of the calculated indicator masked inaccuracies in counts of both deaths and reviews and gave no indication of completeness, thus undermining the ultimate utility of the measure in achieving an accurate measure of coverage. [ABSTRACT FROM AUTHOR]

Agriculture is the primary profession in India which relies on several climatic factors such as rainfall, temperature, humidity, etc., for the successful growth of crops. Weather and drought forecasting may help to take preventive measures in an unusual situation due to crop failure. Most of the existing work attempts to forecast the weather or analyse the reason for the occurrence of drought and its effects in the past. This paper adopts the machine learning model called the long short-term memory (LSTM) neural network to forecast the long-term rainfall and standardised precipitation index for drought estimation. The predicted annual rainfall from LSTM is taken as an input to forecast the drought conditions of India for the upcoming years, which is a unique approach and objective, and based on this work appropriate decisions can be made for future actions. The past 117 years of rainfall and drought conditions are compared with the recent 50 years by analysing the data in several ways in order to predict the future scenario. The forecasted results are compared with actual observations to demonstrate the effectiveness of the LSTM model to produce adequate results. The error and network loss of the model is 0.059 and 0.0036, which is minimal, and the forecasted rainfall level is almost equal to actual level specifically accuracy is 99.46% for the previous year, 2021. It was found that there is a rainfall decline of 0.04% every year. Apart from the prediction for the country, a clear picture of the region regarding drought forecasts is presented in this work. The real-time drought level is mild and moderate for most of the regions in the country which matches with the drought level determined using forecasted rainfall. [ABSTRACT FROM AUTHOR]

In this paper, the study of the regional disparities in literacy rate and examination of the σ and absolute β convergence hypotheses among Indian states for 1951-2011 is implemented. A comparative analysis of absolute β convergence between the proreform (1951-1991) and postreform (1991-2011) periods is also carried out. Further, states are bifurcated into Empowered Action Group (EAG) and non-EAG states. A separate examination of these two groups is also performed. To eliminate the effect of minor states, the analysis is also carried out for seventeen major Indian states. This paper contributes in various ways. First, it examines the convergence hypotheses for the pre-and post-reform period, and EAG and non-EAG states and secondly, the data of all the censuses of independent India (1951-2011) are considered for the analysis. The σ convergence is analysed by the coefficient of variation (CV), and absolute β convergence is explained by regression analysis, regressing the growth rate in LR on the initial value of LR to test the catching-up effect. The time trend analysis is incorporated to test the significance of the change in CV. The result shows a downward trend in CV for LR during the study period, indicating a reduction in dispersion; σ convergence, except for the EAG states. This investigation also finds significant evidence of absolute β convergence in LR for the pre- and post-reform periods and throughout the period. The process of reduction in the regional disparity is rapid in the post-reform period, as revealed by the higher convergence speed for all states, EAG states and non-EAG states. Moreover, the result of the seventeen major states does not differ from the result of all states, indicating that there is no significant effect with regards to major or minor states. [ABSTRACT FROM AUTHOR]

Purpose: The study aims to determine the trend of Integrated Reporting (IR) practices and investigates its impact on operational performance (return on assets (ROA)) and firm value (Tobin's Q) of National Stock Exchange (NSE) listed companies in India. Design/methodology/approach: Manual content analysis is used to construct Integrated Reporting Disclosure Quality Index (IRDQI) to assess disclosure practices of 93 integrated annual reports for three years from 2017–2018 to 2019–2020. Further, panel data models are utilized for investigating the relationship between IRDQI and financial performance. The dependent variable consists of ROA and Tobin's Q in regression models, while the independent variable includes IRDQI. Findings: The empirical analysis results show that IRDQI is positively and significantly associated with operational performance (ROA) while insignificantly related to firm value (Tobin's Q). The study also reveals the upward trend of IR elements and guiding principles from 2017–2018 to 2019–2020. Research limitations/implications: The primary limitation of this study is the scarcity of data as a handful of companies are preparing IR in India. This paper considers two profitability measures, i.e. ROA and Tobin's Q. Future research should consider both long-term and short-term profitability measures to represent the progress of IR in India. Practical implications: The escalation of IR disclosures represents that Indian companies are utilizing the opportunities offered by IR to meet stakeholders' expectations. Further, the study investigates the financial performance of Indian companies, which is essential for the growth and survival of the companies. The study's findings would enhance the capacity of firms to raise capital from capital markets by enticing investors. Originality/value: This study contributes to the limited literature of IR disclosure and financial performance in India by employing content analysis and regression analysis. The organizations could utilize the unique IR index constructed in the Indian context to scrutinize their IR practices. [ABSTRACT FROM AUTHOR]

Purpose: The study aims to compare India's public health expenditure at the international and state levels. The paper also empirically examines the regional disparities in NRHM spending across the 21 selected states of India. Design/methodology/approach: The tools of absolute β-and σ-convergence are used in the analysis to test the regional convergence. The average annual growth rate across the states is the dependent variable for β-convergence, and time is the second dependent variable but is used for s-convergence. In contrast, the initial value of NRHM expenditure and the coefficient of variation of NRHM expenditure are used as independent variables, respectively. Descriptive statistics are also used for the study. The data are annual and cover the panel from 2007 to 2020. Findings: The study attests to the hypothesis of β-and σ-convergence for the selected states in the period mentioned. The observed convergence in NRHM expenditure is due to the shift in the government's attention from the non-high focus high focus states to high states through the national rural health mission policy. The coefficient of variation across the states also shows a declining trend and provides the robustness of the σ-convergence. Originality/value: As far as the literature is concerned, none of the existing studies examines the convergence of a public health expenditure scheme like the National Rural Health Mission across the Indian states by applying the techniques of β-and σ-convergence. The novelty of the study is using the newly updated dataset and validating the convergence hypotheses in the National Rural Health Mission expenditure case. [ABSTRACT FROM AUTHOR]

Background: Speech–language pathologists are often involved in the assessment and management of communication, cognition and swallowing deficits in people with Parkinson's. However, speech–language pathologists' self‐perceived competency levels in serving people with Parkinson's remain elusive, especially in the Indian context where there is an increasing disability burden due to Parkinson's disease. Additionally, the challenges faced by speech–language pathologists in India to provide efficient services to this population are unidentified. Aims: To determine speech–language pathologists' self‐perceived competence and challenges faced when providing services to people with Parkinson's in India. Methods & Procedures: A survey questionnaire was sent to speech–language pathologists through emails and social media asking them questions to evaluate self‐perceived competency in serving people with Parkinson's and to identify the challenges to their service delivery. A total of 69 speech–language pathologists responded to the survey. Outcomes & Results: The majority of respondents reported to be competent in dealing with various domains of assessment and management of people with Parkinson's. Although competent, they reportedly faced a few challenges during their service delivery. Conclusions & Implications: This study provides an insight into the speech–language pathologists' self‐perceived competency in serving people with Parkinson's in India, and also identifies the challenges related to interprofessional service delivery. The findings of the study have educational and clinical implications. What this paper adds: The study delineates speech–language pathologists' self‐perceived competency in working with people with Parkinson's in India, a nation that is seeing a constant rise in the incidence of Parkinson's disease.The study the unique challenges within India to speech–language pathologists' service delivery for people with Parkinson's, thus having educational and clinical implications in Parkinson's disease care. [ABSTRACT FROM AUTHOR]