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Journal Articles | 2017

Tenancy reforms: A critique of NITI Aayog’s Model Law

Sukhpal Singh

Economic and Political Weekly: A Journal of Current Economics and Political Affairs

There is no doubt that the agricultural land leasing laws in India need to be amended to make land leasing legal and easier. The Niti Aayog report (2016) proposes a formal model law on land leasing. Critically examining the logic for liberalisation of land leasing laws, the limitations of the model lease agreement are brought out. It is argued that the model law ignores the diversity and dynamics of leasing arrangements in India and the socio-economic implications of the realities of tenancy practices.

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Journal Articles | 2017

Delhi–Mumbai industrial corridor: Economic and environmental consequences

Seth Schindler and Shruti Sharma

Economic and Political Weekly: A Journal of Current Economic and Political Affairs

The Delhi–Mumbai Industrial Corridor represents a re-centralisation of urban planning in India with the primary objective to foster export-oriented growth. An analysis of census and manufacturing data shows that the DMIC is likely to increase regional inequality. Moreover, rather than fostering regional integration, this state-led corridor development remains a series of discontinuous and fragmented territories.

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Journal Articles | 2017

Convergence or Divergence: The impact of globalization on employee relations in India and China

Jatinder Kumar Jha and Biju Varkkey

International Journal of Employment Studies

This paper explores the underlying principles of employee relations and the pattern of their evolution in India and China, in the context of globalisation. Globalisation has deeply influenced the way economies function and altered the national patterns of employee relations. Using evidences from available extant literature, we mapped the approaches taken by both India and China to highlight the impact of globalisation on employee relations and found that competition, followed by globalisation, and changes in the trade union structures, have prompted the introduction of the 'human' element to employee relations practices, particularly at the enterprise level; besides, a lucid convergence in employee relations patterns is also witnessed, alongside some divergences in the approaches. The points of convergence include the introduction of the human element in employee relations, labour flexibility, reduction in union membership and increased focus on individual employment contracts. Divergence is primarily witnessed in the degree of involvement of trade unions and governments in employee relations. The differences in patterns observed between the countries can be attributed to the unique institutional factors of each country.

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Journal Articles | 2017

How to answer some tricky interview questions?

Asha Kaul

HBR Ascend

Journal Articles | 2017

Do celebrities have it all? Context collapse and the networked publics

Asha Kaul and Vidhi Chaudhri

Journal of Human Values

With the advent of social media and increase in networked publics, context collapse has emerged as a critical topic in the discussion of imagined audiences and blurring of the private and the public. The meshing of social contexts portends problematic issues as messages inadvertently reach unimagined audiences causing shame and leading to loss of ‘face’. In this article, we specifically study the impact of context collapse on some celebrities ‘who had it all’ yet, lost ‘it some’ to the world of networked public. The article examines celebrities sharing identity information across multiple contexts and explores situations of lost fame when ‘face’ is threatened, usage falters and breaks some of the well-established norms of interactivity. It concludes that lack of prudence in separating social contexts, loss of ‘face’ and social approval can dampen online celebrity presence. It proposes the use of ‘polysemy’ to simultaneously appeal to audiences from different contexts.

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Journal Articles | 2017

Please do interrupt, but nicely! The effect of positive and negative interruptions on product evaluation and choice

Ankur Kapoor and Arvind Sahay

Advances in Consumer Research, 45, 701-702

This research studies the affective consequences of interruptions on evaluation and choice. Six studies demonstrate that positive (negative) interruptions lead to unfavourable (favourable) evaluation and lower (higher) choice of pre-interruption products; but favourable (unfavourable) evaluation and higher (lower) choice of post-interruption products. Relevant mediation and moderation effects are also found.

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Journal Articles | 2017

Through the looking Glass: Role of construal level on description-intensive reviews

Swagato Chatterjee and Aruna Divya T

Advances in Consumer Research

Focus on consumer engagement has led service providers to explore contextual factors influencing consumers’ satisfaction. In this paper, we draw insights from Construal Level Theory to identify the conditions when own vs. others’ experiences along with Process vs. Outcome attributes of services become more important in overall service evaluation

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Journal Articles | 2017

Distribution of Traffic Accident Times in India - Some Insights using Circular Data Analysis

Arnab Kumar Laha, Pravida Raja A.C., and Dilip Kumar Ghosh

International Journal of Business Analytics and Intelligence

Traffic accidents are a major hazard for travellers on Indian roads. These are caused by a variety of reasons including the bad condition of roads, traffic density, lack of proper training of drivers, slack in enforcement of traffic rules, poor road lighting etc. It is further known that certain times of the day are more prone to traffic accidents than others. In this paper we investigate the distribution of traffic accident times using the data published annually by the National Crime Records Bureau (NCRB) over the period 2001-2014 using the tools of circular data analysis. It is seen that the observed distribution of the traffic accident times in most years is bimodal. Thus, several modelling strategies for bimodal distributions are tried which include fitting of mixture of von-Mises distributions and mixture of Kato-Jones distribution. It is seen from this analysis that the distribution of the traffic accident times are changing over the years. Notably, the proportion of accidents happening in late night has reduced over the years while the same has increased for late evening hours. Some more insights obtained from this analysis are also discussed.

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Journal Articles | 2017

A novel sandwich algorithm for empirical Bayes analysis of rank data

Arnab Kumar Laha, Somak Dutta, and Vivekananda Roy

Statistics and its interface

Rank data arises frequently in marketing, finance, organizational behavior, and psychology. Most analysis of rank data reported in the literature assumes the presence of one or more variables (sometimes latent) based on whose values the items are ranked. In this paper we analyze rank data using a purely probabilistic model where the observed ranks are assumed to be perturbed versions of the true rank and each perturbation has a specific probability of occurring. We consider the general case when covariate information is present and has an impact on the rankings. An empirical Bayes approach is taken for estimating the model parameters. The Gibbs sampler is shown to converge very slowly to the target posterior distribution and we show that some of the widely used empirical convergence diagnostic tools may fail to detect this lack of convergence. We propose a novel, fast mixing sandwich algorithm for exploring the posterior distribution. An EM algorithm based on Markov chain Monte Carlo (MCMC) sampling is developed for estimating prior hyperparameters. A real life rank data set is analyzed using the methods developed in the paper. The results obtained indicate the usefulness of these methods in analyzing rank data with covariate information.

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Journal Articles | 2017

Evolutionary algorithm for bilevel optimization using approximations of the lower level optimal solution mapping.

Ankur Sinha, Pekka Malo, and Kalyanmoy Deb

European Journal of Operational Research

Bilevel optimization problems are a class of challenging optimization problems, which contain two levels of optimization tasks. In these problems, the optimal solutions to the lower level problem become possible feasible candidates to the upper level problem. Such a requirement makes the optimization problem difficult to solve, and has kept the researchers busy towards devising methodologies, which can efficiently handle the problem. Despite the efforts, there hardly exists any effective methodology, which is capable of handling a complex bilevel problem. In this paper, we introduce bilevel evolutionary algorithm based on quadratic approximations (BLEAQ) of optimal lower level variables with respect to the upper level variables. The approach is capable of handling bilevel problems with different kinds of complexities in relatively smaller number of function evaluations. Ideas from classical optimization have been hybridized with evolutionary methods to generate an efficient optimization algorithm for a wide class of bilevel problems. The performance of the algorithm has been evaluated on two sets of test problems. The first set is a recently proposed SMD test set, which contains problems with controllable complexities, and the second set contains standard test problems collected from the literature. The proposed method has been compared against three benchmarks, and the performance gain is observed to be significant. The codes related to the paper may be accessed from the website http://bilevel.org.

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