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3819 items in total found

Journal Articles | 2019

Did India's price policy for coronary stents create unintended consequences?

Sarang Deo, Hanu Tyagi, Chirantan Chatterjee, and Himasagar Molakapuri

Social Science & Medicine

In February 2017, India capped the retail price of coronary stents and restricted the channel margin to bring Percutaneous Transluminal Coronary Angioplasty (PTCA) procedure, which uses coronary stents, within reach of millions of patients who previously could not afford it. Prior research shows that care providers respond to such regulations in a way that compensates for their loss in profits because of price control. Therefore, price control policies often introduce unintended consequences, such as distortions in clinical decision making. We investigate such distortions through empirical analysis of claims data from a representative public insurance program in the Indian state of Karnataka. Our data comprises 25,769 insurance claims from 69 private and seven public hospitals from February 2016 to February 2018. The public insurance context is ideal for investigating distortions in clinical decisions as the price paid by patients, and thereby access to the treatment, does not change after price control. We find that the change in the average volume of PTCA procedures per hospital per month after price control disproportionately increased when compared to the change in the clinical alternative – Coronary Artery Bypass Graft (CABG) procedures. This increase corresponds to 6% of the average number of PTCA procedures and 28% of the average number of CABG procedures before the price control. In addition, disproportionate increase in PTCA procedures occurred only among private hospitals, indicating the possibility of profit-maximization intentions driving the clinical choices. Such clinical distortions can have negative implications for patient health outcomes in the long run. We discuss alternative policies to improve access and affordability to healthcare products and services which are likely to not suffer from similar distortions.

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Journal Articles | 2019

Corpus linguistics, newspaper archives and historical research methods

Chinmay Tumbe

Journal of Management History

Purpose

The purpose of this paper is to demonstrate the utility of corpus linguistics and digitised newspaper archives in management and organisational history.

Design/methodology/approach

The paper draws its inferences from Google NGram Viewer and five digitised historical newspaper databases – The Times of India, The Financial Times, The Economist, The New York Times and The Wall Street Journal – that contain prints from the nineteenth century.

Findings

The paper argues that corpus linguistics or the quantitative and qualitative analysis of large-scale real-world machine-readable text can be an important method of historical research in management studies, especially for discourse analysis. It shows how this method can be fruitfully used for research in management and organisational history, using term count and cluster analysis. In particular, historical databases of digitised newspapers serve as important corpora to understand the evolution of specific words and concepts. Corpus linguistics using newspaper archives can potentially serve as a method for periodisation and triangulation in corporate, analytically structured and serial histories and also foster cross-country comparisons in the evolution of management concepts.

Research limitations/implications

The paper also shows the limitation of the research method and potential robustness checks while using the method.

Practical implications

Findings of this paper can stimulate new ways of conducting research in management history.

Originality/value

The paper for the first time introduces corpus linguistics as a research method in management history.

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Journal Articles | 2019

Broker imposed precarity of Indian technical immigrants

Shrihari S. Sohani andBiju Varkkey

Industrial Relations Journal

The primary purpose of this article is to investigate the labour supply chain of Indian technical immigrants in the United States. The two important findings that emerge are as follows: First, the study unearths a latent phenomenon of broker-induced precarity that results from the labour supply chain and explores how aspirational jobs are becoming precarious ones. Second, the study provides a foundation for devising policies and interventions to make the process of the labour supply chain less detrimental to the Indian technical immigrants. This article draws on a seven-month-long field-based qualitative study and ensures a meticulous triangulation of the findings through an analysis of archival data and actual artefacts related to manpower movement across the labour supply chain.

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Journal Articles | 2019

Framework for sustainable maintenance system: ISM fuzzy MICMAC and TOPSIS approach

Rajesh Kumar Singh and Ayush Gupta (FPM)

Annals of Operations Research

Due to the increasing complexity of manufacturing processes and automation, maintenance of all machines and equipments has become challenging task for production managers today. Due to lack of sensitivity for maintenance, share of maintenance cost in total product cost is also increasing along with decreased productivity. Organizations are either quite slow or getting failed in updating their maintenance systems with time. Keeping in view the importance of maintenance in today’s context, this study has tried to develop a framework for a sustainable maintenance system for manufacturing organizations. Usually organizations are not able to identify critical factors for effective maintenance. Therefore, in this context, the study has identified fourteen factors for the effective maintenance management from the literature review. Some of these factors are process oriented and some are result oriented. Interpretive structural modeling approach is applied for the development of structural relationship among the factors from a strategic perspective. Fuzzy MICMAC analysis is then carried out to categorize these factors based on their driving and dependence value. Further to prioritise major driving factors, Technique for order preferences by similarity of an ideal solution approach has been also applied. It is observed that top management support and commitment, strategic planning and implementation, continuous upgradation of maintenance system to reduce manufacturing lead time and cost are major factors to ensure the sustainable competitive advantage.

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Journal Articles | 2019

Impostor phenomenon in STEM: occurrence, attribution, and identity

Devasmita Chakraverty

Studies in Graduate and Postdoctoral Education

Purpose

This study aims to explore different themes related to impostor phenomenon, as experienced by graduate students and postdocs in science, technology, engineering and mathematics (STEM) fields.

Design/methodology/approach

Open-ended survey responses from 120 US-based participants from 40 states and Washington, D.C., describing an occasion when they felt like an impostor, were analyzed thematically.

Findings

Following content analysis, three themes emerged: occurrence, attribution and identity. While impostor-like feelings were experienced as early as high school or college, the majority experienced it during PhD application, on being admitted to a PhD program and throughout PhD training. The people experiencing impostor phenomenon attributed their achievements and success to others (other’s name, prestige, or connections, other’s mistake, other’s lies or misrepresentation, or other’s kindness) or self (self-inadequacy, pretense, luck or self-doubt) rather than their own hard work or ability. Gender-based and race/ethnicity-based identity also shaped the experiences of the impostor phenomenon.

Research limitations/implications

Open-ended survey responses varied in length and level of detail. Responses provided a one-time snapshot of a memory related to impostor-feelings that stood out, not indicating if the feeling persisted or evolved with time. The findings are not generalizable over a larger population.

Originality/value

This study identified multiple themes related to the impostor phenomenon not investigated before, enriching existing research while also providing methodological rigor for the development of follow-up studies.

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Journal Articles | 2019

An overlapping community detection algorithm based on rough clustering of links

Samrat Gupta and Pradeep Kumar

Data and Knowledge Engineering

The growth of networks is prevalent in almost every field due to the digital transformation of consumers, business and society at large. The unfolding of community structure in such real-world complex networks is crucial since it aids in gaining strategic insights leading to informed decisions. Moreover, the co-occurrence of disjoint, overlapping and nested community patterns in such networks demands methodologically rigorous community detection algorithms so as to foster cumulative tradition in data and knowledge engineering. In this paper, we introduce an algorithm for overlapping community detection based on granular information of links and concepts of rough set theory. First, neighborhood links around each pair of nodes are utilized to form initial link subsets. Subsequently, constrained linkage upper approximation of the link subsets is computed iteratively until convergence. The upper approximation subsets obtained during each iteration are constrained and merged using the notion of mutual link reciprocity. The experimental results on ten real-world networks and comparative evaluation with state-of-the-art community detection algorithms demonstrate the effectiveness of the proposed algorithm.

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Journal Articles | 2019

Extended hesitant fuzzy linguistic term set with fuzzy confidence for solving group decision-making problems

R Krishankumar, K S Ravichandran, Manish Aggarwal, and Sanjay K Tyagi

Neural Computing and Applications

This paper presents a new extension of the hesitant fuzzy linguistic term set (HFLTS) called intuitionistic fuzzy confidence-based HFLTS that associates an intuitionistic fuzzy value (IFV) with each linguistic term. The resulting term set is termed as intuitionistic fuzzy confidence hesitant fuzzy linguistic term set (IFCHFLTS). The previous studies on the linguistic decision making have emphasized little upon the preference and non-preference for each of the linguistic terms. This information, however, is crucial in multi-criteria decision making under uncertainty. In this regard, we find IFV particularly useful for qualifying each of the linguistic terms with the agent’s degree of preference, non-preference, and hesitation values. Besides, a new aggregation operator named intuitionistic fuzzy confidence linguistic simple weighted geometry (IFCLSWG) is also proposed to fuse decision makers’ linguistic preferences. Further, the criteria weights are estimated using a new method called intuitionistic fuzzy confidence linguistic standard variance. An approach is also suggested for ranking the given alternatives by adapting VIKOR under the proposed IFCHFLTS context. Finally, the practicality and usefulness of the proposal are demonstrated through two real-world problems in green supplier selection for manufacturing industry, and medical diagnosis. The strengths and weaknesses of the proposal are also highlighted by drawing upon a comparison with similar methods.

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Journal Articles | 2019

Logit Choice Models for Interactive Attributes

Manish Aggarwal

Information Sciences

Journal Articles | 2019

Modeling a decision-maker's choice behavior through perceived values

Manish Aggarwal

IEEE Transactions on Systems, Man, and Cybernetics: Systems

In the real world, an attribute value is perceived differently by different individuals. Emphasizing on this aspect, we extend the discrete choice models with perceived values that are subjective and specific to a decision-maker (DM). The proposed choice models are augmented with the parameters of an entropy function, besides the utility coefficients, to model a DM's complex choice behavior. A variety of higher order choice models are also proposed. The proposed models are further extended with a DM's reference-value for each attribute. A real and illustrative application is included.

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Journal Articles | 2019

Modelling human decision behaviour with preference learning

Manish Aggarwal and Ali Fallah Tehrani

INFORMS Journal on Computing

In the real world, an attribute value is perceived differently by different individuals. Emphasizing on this aspect, we extend the discrete choice models with perceived values that are subjective and specific to a decision-maker (DM). The proposed choice models are augmented with the parameters of an entropy function, besides the utility coefficients, to model a DM's complex choice behavior. A variety of higher order choice models are also proposed. The proposed models are further extended with a DM's reference-value for each attribute. A real and illustrative application is included.

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