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3893 items in total found

Popular Press | 2021

Pre-packaged insolvency for small & medium firms (with Vishakha Raj)

M P Ram Mohan

Business Standard

Popular Press | 2021

Lessons from Chinese commodities market

Joshy Jacob

Hindu BusinessLine

Popular Press | 2021

Hey Amul Girl, you'd better not smile at the price!

Hyokjin Kwak

Brand Equity, Economic Times

Popular Press | 2021

The growth path India must take(with Astha Agarwalla)

Errol D'Souza

Business Standard

Popular Press | 2021

How India can promote job creation (with Ejaz Ghani)

Abhiman Das

Hindu BusinessLine

Journal Articles | 2021

Reinventing the universal structure of human values: Development of a new holistic values scale to measure Indian values.

Rajat Sharma

Journal of Human Values

This article investigates the universal values scale, Schwartz Value Survey (SVS) for its applicability to measure cultural context-specific values. The study establishes a need to construct a new scale by identifying and incorporating Indian culture-specific values in SVS. Deriving data using self-assessment questionnaires from 709 respondents in 2 studies and analysing them using principal component analysis and structural equation modelling, the article reconceptualizes Schwartz’s Portrait Values Questionnaire (PVQ) and the 10 motivational value factors and develops a new 76-item Holistic Values Scale (HVS) to measure Indian values using well-established scale development methods. The article further presents the research and policy implications and future research areas in this domain.

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Journal Articles | 2021

The impact of COVID-19 on tail risk: Evidence from Nifty index options

Sobhesh Kumar Agarwalla, Jayanth R. Varma, and Vineet Virmani

Economic Letters

We investigate the impact of COVID-19 using multiple forward-looking measures of uncertainty in Indian stock markets using liquid Nifty index options. The WHO declaration of COVID-19 as a pandemic coincides with a sharp rise in all measures of uncertainty considered, including option-implied volatility smiles, risk-neutral density, skewness, and kurtosis. We find that while subsequent government-imposed lockdowns and monetary easing induced a near-normalization of skewness and kurtosis, the volatility level remained elevated, demonstrating the importance of higher moments in capturing uncertainty during a pandemic. Structural breaks identified using the Bai–Perron methodology closely track the dates of significant announcements or interventions.

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Journal Articles | 2021

Designing and driving crowdsourcing contests in large public service organizations

B S Kiran and Rajat Sharma

Research-Technology Management

Overview: When designed and driven efficiently, crowdsourcing can leverage the power of collective intelligence and yield innovative solutions. To date, the crowdsourcing literature has focused on exemplary corporate initiatives and less on crowdsourcing contests in public service organizations (PSOs), which have a diverse ecosystem. Existing literature has only sparsely studied the design aspect of crowdsourcing as a process. We explored crowdsourcing contests hosted by two large PSOs, Deutsche Bahn and Indian Railways, from a process perspective. We created a six-stage framework for crowdsourcing contests that other PSOs can use. We highlight the need for effective internal and external marketing to enhance the effectiveness of crowdsourcing in PSOs. With structured efforts, crowdsourcing contests can help PSOs cocreate impactful solutions by seamlessly blending internal and external knowledge and efforts.

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Journal Articles | 2021

Marketplace literacy as a pathway to a better world: Evidence from field experiments in low-access subsistence marketplaces

Madhubalan Viswanathan, Nita Umashankar, Arun Sreekumar, and Ashley Goreczny

Journal of Marketing

Multinational companies increasingly focus on subsistence marketplaces, given their enormous market potential. Nevertheless, their potential is untapped because subsistence consumers face extreme constraints. The authors contend that subsistence consumers need marketplace literacy to participate effectively and beneficially in marketplaces. Marketplace literacy entails the knowledge and skills that enable them to participate in a marketplace as both consumers and entrepreneurs. This is crucial for subsistence consumers, as they often must function in both roles to survive. Previous research, however, has not empirically examined the influence of marketplace literacy on well-being or marketing outcomes related to well-being. To address this gap, the authors implemented three large-scale field experiments with approximately 1,000 people in 34 remote villages in India and Tanzania. They find that marketplace literacy causes an increase in psychological well-being and consumer outcomes related to well-being (e.g., consumer confidence, decision-making ability), especially for subsistence consumers with lower marketplace access, and it causes an increase in entrepreneurial outcomes related to well-being (e.g., starting a microenterprise) for those with higher marketplace access. Overall, this research generates practical implications for the use of marketplace literacy as a pathway to a better world.

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Journal Articles | 2021

Alternate second order conic program reformulations for hub location under stochastic demand and congestion

Sneha Dhyani Bhatt, Sachin Jayaswal, Ankur Sinha, and Navneet Vidyarthi

Annals of Operations Research

In this paper, we study the single allocation hub location problem with capacity selection in the presence of congestion at hubs. Accounting for congestion at hubs leads to a non-linear mixed integer program, for which we propose 18 alternate mixed integer second order conic program (MISOCP) based reformulations. Based on our computational studies, we identify the best MISOCP-based reformulation, which turns out to be 20–60 times faster than the state-of-the-art. Using the best MISOCP-based reformulation, we are able to exactly solve instances up to 50 nodes in less than half-an-hour. We also theoretically examine the dimensionality of the second order cones associated with different formulations, based on which their computational performances can be predicted. Our computational results corroborate our theoretical findings. Such insights can be helpful in the generation of efficient MISOCPs for similar classes of problems.

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