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743 items in total found

Journal Articles | 2022

Policy uncertainty and behavior of foreign firms in emerging economies

Amit Karna and Shamim S. Mondal Viswanath Pingali

Management Decision

Purpose – This study aims to examine how foreign and domestic firms react to policy uncertainty in an emerging economy. In addition, the study investigates if older foreign firms better adapt to policy uncertainty than newer entrants. Design/methodology/approach – The study uses pharmaceutical sales data on India’s cardiovascular segment for January 2011–May 2016. The authors use fixed fixed-effects panel data regression to measure the market reactions of foreign and domestic firms faced with policy uncertainty.

Findings – While domestic and foreign firms react similarly to anticipated policy changes, foreign firms react more adversely to policy uncertainty. Among foreign firms, early entrants respond less adversely than new entrants.

Research limitations/implications – Foreign firms are able to cope with anticipated policy changes in similar vein as the domestic firms by way of a priori reading of the host country’s regulatory landscape. The foreign firms’ response to policy uncertainty is significantly different from domestic firms. The difference between the market response of foreign and domestic firms decreases over time.

Practical implications – The authors’ findings demonstrate that adaptability is the key for new foreign firms to face policy uncertainty. Foreign firms can respond to policy changes, especially the unanticipated ones by imbibing local practices. Social implications – The authors’ findings suggest that enhanced policy uncertainty hurts foreign firms more adversely than domestic firms, and newer foreign firms are more hurt with policy uncertainty than the existing ones. Such uncertainty could also have unintended consequences for consumer welfare.

Originality/value – The authors’ study uses two natural experiments in the same industry within short periods of time. The comparison offers key insights on the differences in domestic and foreign firm responses to the two types of policy uncertainty.

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Journal Articles | 2022

How Do MNEs and Domestic Firms Respond Locally to a Global Demand Shock? Evidence from a Pandemic

Arzi Adbi, Chirantan Chatterjee, and Anant Mishra

Management Science

Global shocks bring unanticipated changes in the business environment of foreign multinational enterprises (MNEs) and rival domestic firms. We examine whether there is a difference between how MNEs and domestic firms react in heterogeneous local or subnational markets to a global demand shock. Leveraging the 2009–2010 H1N1 influenza pandemic as a source of exogenous variation in global demand for influenza vaccines, we investigate the role of subnational heterogeneity in economic resources, industry infrastructure, and political alignment within an emerging economy on the behavior of incumbent MNEs and rival domestic firms. We find that following the pandemic, MNE market share in the influenza vaccine market relative to the noninfluenza vaccine markets declines more in regions with lower government health spending per capita and also, in regions unaligned with the federal government. Additional analyses suggest that these changes in market share are not caused by a reduction in MNE revenues. Rather, they are caused by domestic firms that were already present in noninfluenza vaccine markets diversifying by entering the highly related influenza vaccine market. Finally, a granular examination of the differential responses reveals that such responses are not related to preshock differences in regional coverage of MNEs and domestic firms. This study contributes to the extant literature by suggesting that the direct costs or opportunity costs of new market and region entry are relatively greater for MNEs than for domestic firms, particularly in regions that have inadequate health infrastructure and are politically not aligned.

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Journal Articles | 2022

Pre-Kautilyan period: Crucible of pro-economic ideas and practices

Satish Deodhar

Annals of the Bhandarkar Oriental Research Institute

A number of studies have been conducted in the recent past throwing light on Kautilya’s contribution to economic policy. In his treatise Arthashastra, Kautilya informs that his contribution was based on received knowledge and gives credit to his predecessors. Unfortunately, the specialized works of the predecessors have been lost with the passage of time. I have attempted to scout and collate the economic notions that have appeared interspersed in the available Sanskrit treatises written prior to Arthashastra. Kautilya’s Arthashastra must have evolved from the crucible of such literature. In this context I discuss the four-fold classifications of purusharthas, ashramas, and varnas referenced in ancient texts and their attendant economic implications in the society then. I also cover the economic notions at the macro and institutional level which include policies of a welfare state, practical ideas about public goods, market facilitation, property rights, labour relations and unions, coinage, taxation, and budget deficit.

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Journal Articles | 2022

Impact of review narrativity on sales in a competitive environment

Soumya Mukhopadhyay, V Kumar, Amalesh Sharma, and Tuck Siong Chung

Production and Operations Management

Online user-generated reviews have received significant importance in the literature as they help consumers make consumption decisions. However, despite significant developments in this domain in the past decade, little attention has been paid to how narrative aspects of reviews affect consumers’ consumption decisions and, consequently, influence sales. A narrative can be defined as a sequentially structured discourse that provides an understanding of the events that unfold around the narrator. Relying on the literature on narrative transportation, we examine the role of review narrativity in determining firm sales, the contingency effect of the competitive environment, and review polarity. Specifically, we propose that review narrativity has an asymmetric U-shaped (or, J-shaped) relationship with sales; the impact of review narrativity on sales would have significant positive interaction with the polarity of the review text; and that under high (low) competitive agglomeration, review narrativity would have a significant (insignificant) positive impact on sales. Operationalizing review narrativity using three different measures from a unique and rich dataset collected from OpenTable and using a Bayesian framework, consistent with our hypotheses, we find that the narrativity of textual reviews exerts a significant nonlinear impact on sales contingent on their polarity. Enriching the relatively nascent empirical literature on the effects of competitive context on eWOM, the current paper further offers clear empirical evidence that the impact of review narrativity on sales is significantly higher (lower) under a high (low) competitive agglomeration. The paper makes a methodological contribution by developing a flexible framework to identify the proposed relationships better while accounting for heterogeneity, endogeneity, and temporal patterns in the context of dynamic panels.

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Journal Articles | 2022

Identity work at the intersection of dirty work, caste, and precarity: How Indian cleaners negotiate stigma

Avina Mendonca, Premilla D’Cruz, and Ernesto Noronha

Organization

Drawing from in-depth interviews of cleaners employed in the cleaning industry in India, the study examines the ongoing process of constructing a positive identity among dirty workers. Cleaners respond to the intense identity struggles emerging from caste stigma, dirty taint, and precarity by constructing ambivalent identities. Cleaners’ identity work is constituted by the very identity struggles they encounter, and their efforts to negotiate stigmatized identities further create identity tensions. Apart from accenting the paradoxical duality inhered in identity work, the findings show how caste/class inequalities are reworked in a neoliberal milieu and reproduced in identity construction processes. The findings call attention to caste as an important social category in organizational studies that has implications for work identities, dirty work, and precarious work.

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Journal Articles | 2022

Domestic workers and sexual harassment in India: Examining preferred response strategies

Akshaya Vijayalakshmi, Pritha Dev, and Vaibhavi Kulkarni

World Development

The purpose of this research is to understand how women working as domestic workers, who are part of the informal sector, are likely to respond to sexual harassment incidents. Unlike the organized sector, women in informal and nontraditional workspaces often do not have access to formal organizational mechanisms for lodging complaints, thus making it important to understand their response strategies. To understand their likely response to sexual harassment in the informal sector, we conducted a detailed survey of 387 domestic workers in India where we presented each respondent with eleven possible sexual harassment scenarios and nine possible responses to each such scenario. We find that (a) women are most likely to employ strategies that are self-focused and with minimal support from friends/family. (b) Women complain to authorities/family only when they can furnish evidence of harassment. (c) Women are not likely to complain to their female supervisor under any circumstances. And (d) unsurprisingly, poorer, and migrant women are likely to be more silent than women who are relatively better-off about harassment. The results, in brief, show a distrust of the current systems. By examining this informal and unorganized workspace, we offer a stronger theoretical understanding of employee responses to sexual harassment and provide practical suggestions.

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Journal Articles | 2022

Routing and charging facility location for EVs under nodal pricing of electricity: A bilevel model solved using special ordered set

Sebastián González, Felipe Feijoo, Franco Basso, Vignesh Subramanian, Sriram Sankaranarayanan, and Tapas K. Das

IEEE Transactions on Smart Grid

We consider the problem of identifying optimal location of electric vehicle (EV) charging stations, while accounting for (i) route optimization and (ii) charging cost optimization by the EV fleets, where the electricity price is obtained endogenously by an optimal power flow (OPF) model. We solve the problem using a bi-objective bilevel programming framework with the objectives being one of minimising travel time and the other of minimising EV charging cost. The upper level problem consists of the facility location and the transportation model and the lower level problem consists of the OPF model. After reformulating this computational hard problem as a mathematical program with equilibrium constraints (MPEC), we solve the problem using a special ordered sets-type 1 (SOS1)-based approach. We record the significant improvement in speed by our method, as opposed to the standard Big-M approach. Finally, we apply the technique to the Sioux Falls transportation network with the IEEE 14-bus electricity network embedded on it. We observe that solutions through our models results in as much 37% lower operating costs for the EVs.

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Journal Articles | 2022

A bilevel conic optimization model for routing and charging of EV fleets serving long distance delivery networks

Vignesh Subramanian, Felipe Feijoo Sriram Sankaranarayanan, Kevin Melendez, and Tapas K. Das

Energy

Recent unveiling of electric semi-trucks by a number of electric vehicle manufacturers indicates that part of the existing long-distance transportation fleets may soon be electrified. Operators of electric fleets will have to select travel routes considering charging station availability and cost of charging in addition to usual factors such as congestion and travel time. This requires combined modeling of transportation and electric power networks. We present such a model that considers interactions between the two networks to develop optimal routing strategies. The problem is formulated as a multi-objective bilevel conic optimization model. The upper level obtains the routing decision by minimizing a function of charging cost and travel time. The routing decision is used in the lower level that solves the AC optimal power flow model, using second order cone constraints, to determine nodal electricity prices. The model is demonstrated using a numerical problem with 24-Node transport network supported by a modified 5-Bus PJM network. The results show that our model yields optimal routes and charging strategies to meet the objectives of fleet operators. Results also indicate that the optimal routing and charging strategies of the electrified transportation fleet can support power networks to reduce nodal prices via demand response.

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Journal Articles | 2022

Prospect theory preferences and global mutual fund flows

Nilesh Gupta, Anil V. Mishra, and Joshy Jacob

Journal of International Money and Finance

We examine the influence of Cumulative Prospect Theory (CPT) characteristics of fund returns on investment flows with a cross-country data of equity mutual funds. We find that a larger CPT value of the style-adjusted past returns is associated with higher fund flows in the subsequent quarter. The impact is greater for retail-oriented funds, relatively younger funds, and those with higher active share. While funds that score high on the CPT value attract incremental fund flows, they earn a lower alpha than their peers in the following year. The sensitivity of fund flows to the CPT characteristics is higher in countries with greater individualism and short-term orientation. The results are robust to several additional tests and hold across various subsamples of our data. The findings imply that investors have misplaced expectations about the future performance of funds that show higher CPT values and the fund managers cater to these investor preferences.

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Journal Articles | 2022

First-generation and continuing-generation college graduates’ application, acceptance, and matriculation to US medical schools: A national cohort study.

Hyacinth RC Mason, Ashar Ata, Mytien Nguyen, Sunny Nakae, Devasmita Chakraverty, Branden Eggan, Sarah Martinez, and Donna B. Jeffe

Medical Education Online

Many U.S. medical schools conduct holistic review of applicants to enhance the socioeconomic and experiential diversity of the physician workforce. The authors examined the role of first-generation college-graduate status on U.S. medical school application, acceptance, and matriculation, hypothesizing that first-generation (vs. continuing-generation) college graduates would be less likely to apply and gain acceptance to medical school.Secondary analysis of de-identified data from a retrospective national-cohort study was conducted for individuals who completed the 2001–2006 Association of American Medical Colleges (AAMC) Pre-Medical College Admission Test Questionnaire (PMQ) and the Medical College Admissions Test (MCAT). AAMC provided medical school application, acceptance, and matriculation data through 06/09/2013. Multivariable logistic regression models identified demographic, academic, and experiential variables independently associated with each outcome and differences between first-generation and continuing-generation students. Of 262,813 PMQ respondents, 211,216 (80.4%) MCAT examinees had complete data for analysis and 24.8% self-identified as first-generation college graduates. Of these, 142,847 (67.6%) applied to U.S. MD-degree-granting medical schools, of whom 86,486 (60.5%) were accepted, including 14,708 (17.0%) first-generation graduates; 84,844 (98.1%) acceptees matriculated. Adjusting for all variables, first-generation (vs. continuing-generation) college graduates were less likely to apply (odds ratio [aOR] 0.84; 95% confidence interval [CI], 0.82–0.86) and be accepted (aOR 0.86; 95% CI, 0.83–0.88) to medical school; accepted first-generation college graduates were as likely as their continuing-generation peers to matriculate. Students with (vs. without) paid work experience outside hospitals/labs/clinics were less likely to apply, be accepted, and matriculate into medical school. Increased efforts to mitigate structural socioeconomic vulnerabilities that may prevent first-generation college students from applying to medical school are needed. Expanded use of holistic review admissions practices may help decision makers value the strengths first-generation college graduates and other underrepresented applicants bring to medical educationand the physician workforce.

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IIMA