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3853 items in total found

Journal Articles | 2020

Unpacking the effects of adverse regulatory events: Evidence from pharmaceutical relabelling

Matthew J. Higgins, Xin Yan, and Chirantan Chatterjee

Research Policy

We provide causal evidence that regulation induced product shocks significantly impact aggregate demand and firm performance in pharmaceutical markets. Event study results suggest an average loss between $569 million and $882 million. Affected products lose, on average, $186 million over their remaining effective patent life. This leaves a loss of between $383 million and $696 million attributable to declines in future innovation. Our findings complement research that shows drugs receiving expedited review are more likely to suffer from regulation induced product shocks. Thus, it appears we may be trading off quicker access to drugs today for less innovation tomorrow. Results remain robust to variation across types of relabeling, market sizes, and levels of competition.

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Journal Articles | 2020

A Note on “The facility location problem with limited distances”

Prahalad Venkateshan

Transportation Science

In this paper, it is shown that the polynomially bounded enumerative procedure to solve the facility location problem with limited distances, originally described by Drezner, Mehrez, and Wesolowsky [Drezner Z, Mehrez A, Wesolowsky GO (1991) The facility location problem with limited distances. Transportation Sci. 25(3):183–187.], and subsequently corrected by Aloise, Hansen, and Liberti [Aloise D, Hansen P, Liberti L (2012) An improved column generation algorithm for minimum sum-of-squares clustering. Math. Programming 131(1–2):195–220.], can still fail to optimally solve the problem. Conditions under which the procedures succeed are identified. A new modified algorithm is presented that solves the facility location problem with limited distances. It is further shown that the proposed correction is complete in that it does not require further corrections.

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Journal Articles | 2020

Different eyes on the same prize: implications of entry timing heterogeneity and incentives for contestant effort in innovation tournament

Swanand J Deodhar

Journal of Business Research

Purpose

This paper examines an apparent contrast in organizing innovation tournaments; seekers offer contestant-agnostic incentives to elicit greater effort from a heterogeneous pool of contestants. Specifically, the study tests whether and how such incentives and the underlying heterogeneity in the contestant pool, assessed in terms of contestants' entry timing, are jointly associated with contestant effort. Thus, the study contributes to the prior literature that has looked at behavioral consequences of entry timing as well as incentives in innovation tournaments.

Design/methodology/approach

For hypothesis testing, the study uses a panel dataset of submission activity of over 60,000 contestants observed in nearly 200 innovation tournaments. The estimation employs multi-way fixed effects, accounting for unobserved heterogeneity across contestants, tournaments and submission week. The findings remain stable across a range of robustness checks.

Findings

The study finds that, on average, late entrant tends to exert less effort than an early entrant (H1). Results further show that the effort gap widens in tournaments that offer higher incentives. In particular, the effort gap between late and early entrants is significantly wider in tournaments that have attracted superior solutions from several contestants (H2), offer gain in status (H3, marginally significant) or offer a higher monetary reward (H4).

Originality/value

The study's findings counter conventional wisdom, which suggests that incentives have a positive effect on contestant behavior, including effort. In contrast, the study indicates that incentives may have divergent implications for contestant behavior, contingent on contestants' entry timing. As the study discusses, these findings have several implications for research and practice of managing innovation tournaments.

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Journal Articles | 2020

It runs in the family: The role of family and extended social networks in developing early science interest

Devasmita Chakraverty, Sarah N Newcomer, Kelly Puzio, and Robert H Tai

Bulletin of Science, Technology & Society

Research shows that early scientific interest is associated with science degree completion and career selection. However, little is known about the conditions that support early scientific interest. Using a “funds of knowledge” theoretical framework, this study examined the role of parents, family, and extended social networks in fostering early interest in science. Using interview narratives from 116 scientists (physicists and chemists) in the United States, we conducted a qualitative thematic content analysis. Findings suggest that children who become scientists in adulthood often received early, informal opportunities to use and manipulate material objects and discover how the world works. Second, families used a wide variety of scientific terms at home and encouraged children to pursue their interests whether in science or other fields. Third, these future scientists were often networked with extended family members or friends to observe and do science when they were quite young. Collectively, these findings highlight the specific ways in which families fostered early scientific interest and aided in supporting a student-directed learning environment.

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Journal Articles | 2020

Sustainable development and carbon neutrality: Integrated assessment of transport transitions in India

Dipti Gupta and Amit Garg

Transportation Research Part D: Transport and Environment

Dependence on crude oil imports, high correlation with economic growth, and contribution to air pollution cause the transformations in transport sector in India to have significant ramifications. Moreover, these transitions are to be steered through the global and domestic sustainable development and carbon neutrality goals. In this paper, we determine the energy-environment-economy implications of transport sector dynamics by undertaking an integrated analysis using a novel methodological approach involving two main aspects: soft-coupling the IMACLIM-IND and AIM/Enduse models; and back-casting approach with long-term benchmarks. We examine four scenarios: business-as-usual (BAU), development first (DEVF), carbon neutrality (CNT) and synchronous (SYNCH). Our synchronous scenario pathway reduces the crude oil and natural gas imports by 68% for the year 2050 compared to 2012 in the BAU scenario, leading to foreign exchange saving of 5.8 trillion US$ during 2013–2050. The envisioned transitions necessitate formulation of strategic policies which provide equitable access of transportation to all.

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Books | 2020

The age of pandemics, 1817-1920: How they shaped India and the world

Chinmay Tumbe

Harper Collins

Books | 2020

First among equals: T-R-E-A-T leadership for L-E-A-P in a knowledge-based world

Vishal Gupta

Bloomsbury

Journal Articles | 2020

The doctrine of frustration under section 56 of the Indian Contract Act

M P Ram Mohan, Promode Murugavelu, Gaurav Ray, and Kritika Parakh

Indian Law Review

The performance of obligations under a contract may be hindered by unexpected supervening events, leading to contractual uncertainties. The doctrine of frustration paves the way for a just consequence of such an unfortunate event, which has happened without any fault of the contracting parties. The doctrine fills the void in a contract regarding supervening events, based on principles of fairness and equity. Considering the large implications on the obligatory and binding nature of a valid contract, it becomes important to analyse the factors that guide the courts to determine its application. Unlike common law, the Indian Contract law explicitly incorporates the doctrine of frustration under section 56 of the Contract Act. However, the evolution of this doctrine in India has been greatly influenced by English law. This paper attempts to restate the law on the doctrine of frustration as applicable in India.

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Journal Articles | 2020

Alternate solution approaches for competitive hub location problems

Richa Tiwari, Sachin Jayaswal, and Ankur Sinha

European Journal of Operational Research

In this paper, we study the hub location problem of an entrant airline that tries to maximize
its share in a market with already existing competing players. The problem is modelled as a nonlinear
integer program, which is intractable for off-the-shelf commercial solvers, like CPLEX and
Gurobi, etc. Hence, we propose four alternate approaches to solve the problem. The first among
them uses the Kellys cutting plane method, the second is based on a mixed integer second order
conic program reformulation, the third uses the Kellys cutting plane method within Lagrangian
relaxation, while the fourth uses second order conic program within Lagrangian relaxation. The
main contribution of this paper lies in the fourth approach, which along with refinements is the
most efficient. Many of the problem instances that were not solvable using standard techniques,
like the Kellys cutting plane method, have been solved in less than 2 hours of CPU time within
1% optimality gap.

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Journal Articles | 2020

Ripples on financial networks

Sudarshan Kumar, Avijit Bansal, and Anindya S. Chakrabarti

The European Journal of Finance

In the financial markets, asset returns exhibit collective dynamics masking individual impacts on the rest of the market. Hence, it is still an open problem to identify how shocks originating from one particular asset would create spillover effects across other assets. The problem is more acute when there is a large number of simultaneously traded assets, making the identification of which asset affects which other assets even more difficult. In this paper, we construct a network of the conditional volatility series estimated from asset returns and propose a many-dimensional VAR model with unique identification criteria based on the network topology. Because of the interlinkages across stocks, volatility shock to a particular asset propagates through the network creating a ripple effect. Our method allows us to find the exact path the ripple effect follows on the whole network of assets.

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