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3892 items in total found

Journal Articles | 2018

'I show off, so I am well off': Subjective economic well-being and conspicuous consumption in an emerging economy

Saravana Jaikumar, Ramendra Singh, and Ankur Sarin

Journal of Business Research

Conspicuous consumption may be explained by the need to signal higher social status in a society. However, whether this consumption actually translates to improved perception of well-being remains unexamined. In the emerging economy context, we argue that conspicuous consumption may play the role of elevating one's own perception of economic well-being. Further we hypothesize the effect to be higher for the households in the ‘bottom of the pyramid’ (BOP). Using data from a panel of 34,621 households from India Human Development Surveys (2004 and 2011), we examine the relationship between conspicuous consumption and subjective economic well-being (SEWB) using several empirical strategies. Results support our hypotheses that higher conspicuous consumption may result in improved SEWB and that the effect is higher for households in the BOP. Our findings contribute to the domain of conspicuous consumption and BOP in emerging markets. Further, our results have significant marketing and policy implications.

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Journal Articles | 2018

India in 2 C and well below 2 C Worlds: Opportunities and challenges

Saritha S. Vishwanathan, Amit Garg, Vineet Tiwari, and P.R. Shukla

Carbon Management

India's contributions to meeting global mean temperature increases of 2 °C or well below 2 °C would require transformational changes in its energy systems. A bottom-up model analyzes alternate futures (reference, intended nationally determined contributions and low-carbon scenarios) assuming equal per-capita cumulative emissions rights from 2011 through 2050. The cumulative CO2 budget for India for low-carbon scenarios during this period is estimated to be around 115 Bt-CO2, as against 165 Bt-CO2 for the reference scenario. To achieve such emission reductions, while maintaining high economic growth and meeting sustainable development goals, the paper projects that a range of endemic transformations are required such as shifting toward cleaner fuels, resource efficient technologies, widespread use of Information and communication technology (ICTs) to balance demand and supply (e.g. smart grids), substituting demand in transport (e.g. work from home), aggressive promotion of renewables, lifestyle changes, and CO2 capture, storage and use. Modeling decarbonization to meet the needs of the increasing population and urbanization faces myriad challenges due to the distributed nature of technologies used to provide various services, involving risks and uncertainties. The paper finally outlines specific opportunities and challenges faced to meet the increased mitigation ambition to limit the warming to 2 °C and below.

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Journal Articles | 2018

Proactive vs. reactive order-fulfillment resource allocation for sea-based logistics

Seyed Shahab Mofidi, Jennifer A. Pazour, and Debjit Roy

Transportation Research Part E: Logistics and Transportation Review

We study proactive and reactive sea-based order-fulfillment decisions for a set of SKUs. In such systems, a proactive strategy may be more costly than a reactive strategy and variable marginal costs change with respect to an activity profile. We derive the optimal sets of SKUs and their quantities to handle prior (proactive strategy) or after (reactive strategy) demand materializes. Counterintuitive results show the proactive set may not necessarily include the high-demanded SKUs. This work extends the newsvendor model by analyzing negative marginal shortage costs. The model is illustrated with historical data from a sea-based logistics military application.

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Books | 2018

Contract terms are common sense

Akhileshwar Pathak

Penguin Random House India

Books | 2018

Dissent on Aadhaar: Big data meets big brother

Reetika Khera

Orient Black Swan

Books | 2018

Land use change trends of Indian cities- A bird's eye view: Vulnerabilities of unplanned urban growth

Amit Garg, Vidhee Avashia and Shrutika Parihar

Sage

Books | 2018

Indian perspectives on workplace bullying: A Decade of Insights

Premilla D'Cruz, Ernesto Noronha, Avina Mendonza and Nidhi Mishra

Springer

Books | 2018

Business law for managers: Kaleidoscopic tales

Anurag K. Agarwal

Penguin Random House

Books | 2018

Issues in Indian public policies

Vinod B. Annigeri, R.S. Deshpande and Ravindra Dholakia

Springer

Journal Articles | 2018

Real time location prediction with taxi-GPS data streams

Arnab Kumar Laha and Sayan Putatunda

Transporation Research Part C: Emerging Technologies

The prediction of the destination location at the time of pickup is an important problem with potential for substantial impact on the efficiency of a GPS enabled taxi service. While this problem has been explored earlier in the batch data set-up, we propose in this paper new solutions in the streaming data set-up. We examine four incremental learning methods using a Damped window model namely, Multivariate multiple regression, spherical-spherical regression, Randomized spherical K-NN regression and an Ensemble of these methods for their effectiveness in solving the destination prediction problem. The performance of these methods on several large datasets are evaluated using suitably chosen metrics and they were also compared with some other existing methods. The Multivariate multiple regression method and the Ensemble of the three methods are found to be the two best performers. The next pickup location problem is also considered and the aforementioned methods are examined for their suitability using real world datasets. As in the case of destination prediction problem, here also we find that the Multivariate multiple regression method and the Ensemble of the three methods gives better performance than the rest.

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IIMA