Indian Institute of Management Ahmedabad

About: Indian Institute of Management Ahmedabad is a education organization based out in Ahmedabad, India. It is known for research contribution in the topics: Emerging markets & Population. The organization has 1828 authors who have published 4011 publications receiving 59269 citations. The organization is also known as: IIMA & IIM Ahmedabad.

Assessment of Software Quality: A Fuzzy Multi-Criteria Approach

Abstract: Software engineering is the application of a systematic, disciplined, quantifiable approach to the development, operation, and maintenance of software (Pierre Bourque and Robert Dupuis, 2004). Computerized systems now pervade every aspect of our daily life, increasing the importance on the quality of the software that run them. As the hardware systems became more sophisticated, the software became more complex and new programming paradigms were introduced. The development and use of software is becoming very important in today’s life of rapid technological advancement. It becomes even more important when critical decisions are made by software driven systems (M. Lehman, 1996). Therefore, as we become more dependent on software based systems, there is a need to produce high quality software which requires a systematic approach for quantification of quality of the software developed. Software quality is generally defined as “the degree to which a system or its components, or the processes involved in the system meets speciabSTraCT

Excess mortality in India from June 2020 to June 2021 during the COVID pandemic: death registration, health facility deaths, and survey data

Abstract: Background India’s official death totals from the COVID pandemic are widely regarded as under-reports. Methods We quantified all-cause excess mortality in India, comparing deaths during the peak of the first and second COVID waves (Jul-Dec 2020 and April-June 2021) with month wise deaths in 2015-19 from three sources: Civil Registration System (CRS) mortality reports from 15 states or cities with 37% of India’s population; deaths in 0.2 million health facilities; and a representative survey of 0.14 million adults about COVID deaths. Results During the first viral wave, the median excess mortality compared to CRS baseline was 22% and 41%, respectively, in included states and cities, rising to 46% and 85% during the second wave. In settings with 10 or more months of data across the two waves, the median excess mortality was 32% and 37% for states and cities, respectively. Deaths in health facilities showed a 27% excess mortality from July 2020-May 2021, reaching 120% during April-May 2021. The national survey found 3.5% of adults reported a COVID death in their household in April-June 2021, approximately doubling the 3.2% expected overall deaths. The national survey showed 29-32% excess deaths from June 1, 2020 to June 27, 2021, most of which were likely to be COVID. This translates to 3.1-3.4 million COVID deaths (including 2.5-2.8 million during April-June 2021). National extrapolations from health facility and CRS data suggest 2.7-3.3 million deaths during the year. Conclusions India’s COVID death rate may be about 7-8 times higher than the officially reported 290/million population.

Gendered labour markets and globalization in Asia

Abstract: This paper argues that processes of economic globalisation have significantly transformed labour markets in Asia during the last three decades. A central feature of this transformation is the growing importance of female labour at the core of economic processes. This feature has been extensively discussed by feminist economists and anthropologists but received relatively little attention in macro-policy debates. At best, policies towards women workers are viewed as welfare measures of primary interest to the women themselves. The paper argues that such a view is short-sighted and its limitations are becoming evident in the context of the recent economic crisis.Gender-biased or “gendered” labour markets, as we call them, are not only a problem for women workers. They also trap economies on the so-called low road of labour-intensive growth, making it difficult to garner the full fruits of growth, or to ensure its sustainabililty. Sustainable human development focused on the conditions of women’s participation in labour markets can lay a firmer grounding for sustained increased in income per capita. Sustainability in the paper is viewed along three dimensions – human development, the gains from trade and integration into the global economy, and resilience in the face of economic shocks such as the recent crisis.The paper is divided into three main sections:1) The implications of globalisation for the transformation of labout markets2) The micro and macro implications of gendered labour markets, and3) The policy implications of gendered labour markets under gloablisation

Sentiment Analysis of Financial News Articles using Performance Indicators

Abstract: Mining financial text documents and understanding the sentiments of individual investors, institutions and markets is an important and challenging problem in the literature. Current approaches to mine sentiments from financial texts largely rely on domain specific dictionaries. However, dictionary based methods often fail to accurately predict the polarity of financial texts. This paper aims to improve the state-of-the-art and introduces a novel sentiment analysis approach that employs the concept of financial and non-financial performance indicators. It presents an association rule mining based hierarchical sentiment classifier model to predict the polarity of financial texts as positive, neutral or negative. The performance of the proposed model is evaluated on a benchmark financial dataset. The model is also compared against other state-of-the-art dictionary and machine learning based approaches and the results are found to be quite promising. The novel use of performance indicators for financial sentiment analysis offers interesting and useful insights.