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Institution

Indian Institute of Management Ahmedabad

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


Papers
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Journal ArticleDOI
TL;DR: In this article, the authors argue for refocusing attention on the concept of work alienation in management studies as distinct from other related concepts, arguing that the negative experience of work has traditionally been captured by concepts such as burnout/cynicism and counterproductive work behaviours/deviance.
Abstract: Purpose – Although alienation as a concept has a rich history, it has suffered relative neglect in organizational studies and one possible reason for the same is its conceptual ambiguity vis‐a‐vis popular and long‐standing concepts of commitment/identification, satisfaction and engagement, that represent the positive experience of work and which have sometimes been equated as the opposite of work alienation. Similarly, the negative experience of work has traditionally been captured by concepts such as burnout/cynicism and counterproductive work behaviours/deviance. The purpose of this paper is to argue for refocusing attention on the concept of work alienation in management studies as distinct from other related concepts.Design/methodology/approach – The methodology integrated research from both quantitative and qualitative approaches.Findings – Through the analysis of the concept of alienation, along with other related concepts, the conceptual space for the study of alienation in organizational studies i...

38 citations

Journal ArticleDOI
TL;DR: In this paper, the authors analyze human resource professionals' reflections on the prevention of and intervention in workplace bullying across different countries, in order to identify the root causes of workplace bullying.
Abstract: The aim of this study was to analyze Human Resource Professionals’ reflections on the prevention of and intervention in workplace bullying across different countries. More specifically, the study s...

38 citations

Journal ArticleDOI
TL;DR: In this paper, an association rule mining-based hierarchical sentiment classifier model is proposed to predict the polarity of financial texts as positive, neutral or negative, and the performance of the proposed model is evaluated on a benchmark financial dataset.
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.

38 citations

Journal ArticleDOI
TL;DR: In this paper, the authors use a hybrid modeling architecture that combines the strengths of the AIM/Enduse bottom-up model of Indian energy systems and the IMACLIM top-down economy-wide model of India to explore the macroeconomic consequences of achieving development along low-carbon pathways.

38 citations

Journal ArticleDOI
TL;DR: The pre-service education offered in the diploma and bachelor's programmes in Gujarat does not prepare confident SBAs, as measured on selected midwifery competencies of the ICM, and the duration, content, and pedagogy of midWifery education within the integrated programmes need to be reviewed.
Abstract: Objective The graduates of the diploma and degree programmes of nursing and midwifery in India are considered skilled birth attendants (SBAs). This paper aimed to assess the confidence of final-year students from pre-service education programmes (diploma and bachelor's) in selected midwifery skills from the list of midwifery competencies of the International Confederation of Midwives (ICM). Design A cross-sectional survey was conducted in Gujarat, India, involving 633 final-year students from 25 educational institutions (private or government), randomly selected, stratified by the type of programme (diploma and bachelor's). Students assessed their confidence on a four-point scale, in four midwifery competency domains - antepartum, intrapartum, postpartum, and newborn care. Explorative factor analysis was used to reduce skill statements into separate subscales for each domain. Results Overall, 25-40% of students scored above the 75th percentile and 38-50% below the 50th percentile of confidence in all subscales for antepartum, intrapartum, postpartum, and newborn care. The majority had not attended the required number of births prescribed by the Indian Nursing Council. Conclusions The pre-service education offered in the diploma and bachelor's programmes in Gujarat does not prepare confident SBAs, as measured on selected midwifery competencies of the ICM. One of the underlying reasons was less clinical experience during their education. The duration, content, and pedagogy of midwifery education within the integrated programmes need to be reviewed.

38 citations


Authors

Showing all 1868 results

NameH-indexPapersCitations
Kanti V. Mardia5423520393
Mousumi Banerjee5319311141
Marti G. Subrahmanyam522027641
Vishal Gupta473879974
Anil K. Gupta4117517828
Priyadarshi R. Shukla391369749
Asha George351564227
Ashish Garg342464172
Justin Paul311194082
Narendra Singh Raghuwanshi311364298
Sumeet Gupta311085614
Nitin R. Patel31554573
Rahul Mukerjee302063507
Chandan Sharma301243330
Gita Sen30573550
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202316
202269
2021423
2020357
2019266
2018243