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3852 items in total found

Popular Press | 2020

Stimulus 2.0 won't change outlook for business

T T Ram Mohan

Business Standard

Popular Press | 2020

Calibrating exit and stimulus is our best bet

T T Ram Mohan

Business Standard

Popular Press | 2020

Post Lockdown: How to prepare for the next phase

Rajesh Chandwani

ETGovernment.com

Popular Press | 2020

Rumors vs Fake News: How to address misinformation in crisis?

Rajesh Chandwani

ETGovernment.com

Popular Press | 2020

Is social distancing the best way to fight Covid? (with Anindya Chakrabarti)

Pritha Dev

Hindu BusinessLine

Journal Articles | 2020

What motivates members to transact on social C2C communities? A theoretical explanation

Deepak Trehan and Rajat Sharma

Journal of Consumer Marketing

Purpose – This paper aims to investigate the consumer motivation to buy products on consumer-to-consumer (C2C) communities on social networking sites (SNSs). These transactions involve no intermediation or payment of fees by any party. The phenomenon is in contrast with the traditional C2C transactions, on websites such as eBay, where the company website facilitates the transaction between consumers, charges a fee to sellers and provides limited information about buyers and sellers.

Design/methodology/approach – Drawing from media richness theory and social capital theory, this paper thus proposes and empirically tests a theoretical model developed using data collected from people making transactions on these communities that synthesize the motivations behind consumers’ intention to buy.

Findings – The results indicate that the media richness of the Facebook platform increases the social capital and sense of virtual community among users, which further impacts the purchase intentions of users. Social capital alone does not lead to purchase intention and indirectly impacts purchase intentions through the trust dimension.

Research limitations/implications – This study contributes to theorizing the role of the platform, social capital and sense of virtual community in buying behavior on SNSs and provides valuable new insights into these constructs for the brand managers on social media sites.

Originality/value – Existing research on social commerce does not hold true for C2C communities on SNSs. This paper provides a new perspective into these communities through the lens of media richness and social capital constructs as antecedents of purchase intentions on these communities.

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Journal Articles | 2020

Money, land or self-employment? Understanding preference heterogeneity in landowners’ choices for compensation under land acquisition in India

Vikram Patil, Ranjan Ghosh, Vinish Kathuria, and Katharine N.Farrell

Land Use Policy

Land acquisition policies, upon which future land use patterns in India depend, are controversially tied to the question of whether to provide monetary or non-monetary compensation to affected landowners. However, turning to the preferences of landowners for answers only serves to complicate matters, as these are not homogenous on the question. This implies there is a need to identify the underlying factors giving rise to this preference heterogeneity, in order to develop more effective and efficient policy. This paper aims to address this gap using a contingent ranking experiment to study landowner disposition toward a range of compensation options, presented in a survey conducted in an ‘about-to-be-submerged’ region of a large, multi-stage irrigation project in India. Rankings were based on a selection of six compensation options, constituting different combinations of the attributes - cash, land, housing and self-employment. While the results suggest that landowners generally prefer non-monetary compensation, both the size of landholding and level of education of the landholder appear to influence the preferences for different compensation options. We find that landowners with more land or education tended to favour monetary compensation, while those with lower education or less land tended to favour housing and self-employment options. We close the text by exploring possible explanations for this specific form of heterogeneity, including access to information, to networks and capacities for income generation, and providing some reflections on the implications of these results for ensuring that rehabilitation and resettlement policies are both well targeted and effective.

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Journal Articles | 2020

Apartment buyers as financial creditors: Pushing the conceptual limits of the Indian insolvency regime

M P Ram Mohan and Vishakha Raj

Columbia Journal of Asian Law

A unique feature of the Indian insolvency regime is its
classification of debt into “operational” and “financial” debt. In
Swiss Ribbons v. Union of India, the Supreme Court of India
tenaciously upheld the difference between operational and
financial creditors and declared this classification constitutionally
valid. Last year, the Insolvency and Bankruptcy Code, 2016 (IBC)
was amended to include amounts raised from allottees (persons to
whom an apartment or plot in a real estate project has been
allotted) within the definition of “financial debt,” thus making
allottees financial creditors. Though the amendment was passed to
empower allottees in India’s real estate sector, it revived a more
general discussion on the characteristics of operational and
financial creditors.
This paper posits that the amendment was enacted at the
cost of stretching the definition of “financial creditor” beyond its
conceptual limit and interfering with the IBC’s insolvency
resolution mechanism. We use the United States’ and the United
Kingdom’s insolvency regimes as a point of reference for
ascertaining the role of creditors in insolvency proceedings and
whether operationalizing the insolvency regime to solve problems
in a particular sector is justified.

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Journal Articles | 2020

Evaluating adolescents’ responses to internet ads: Role of ad skepticism, internet literacy, and parental mediation

Meng-Hsien (Jenny) Lin, Russell N. Laczniak, and Akshaya Vijayalakshmi

Journal of Advertising

In this article, we first compare adolescents’ responses to two formats (easily recognizable versus not easily recognizable) Internet ads. We find that Internet literacy and ad skepticism are necessary for adolescents to effectively apply persuasion knowledge to identify both ad formats. Second, we demonstrate that parental mediation and parents’ levels of Internet skills are critical for children’s development of Internet literacy. As a result, this article advances our understanding of adolescents’ responses to different Internet ad formats and the influential role of parental mediation in facilitating children’s development of such skills.

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Journal Articles | 2020

Capacitated multi-period maximal covering location problem with server uncertainty

Amit Kumar Vatsa and Sachin Jayaswal

European Journal of Operational Research

We study the problem of assigning doctors to existing, non-operational Primary Health Centers (PHCs). We do this in the presence of clear guidelines on the maximum population that can be served by any PHC, and uncertainties in the availability of the doctors over the planning horizon. We model the problem as a robust capacitated multi-period maximal covering location problem with server uncertainty. Such supply-side uncertainties have not been accounted for in the context of multi-period facility location in the extant literature. We present an MIP formulation of this problem, which turns out to be too difficult for an off-the-shelf solver like CPLEX. We, therefore, present several dominance rules to reduce the size of the model. We further propose a Benders decomposition based solution method with several refinements that exploit the underlying structure of the problem to solve it extremely efficiently. Our computational experiments show one of the variants of our Benders decomposition based method to be on average almost 1000 times faster, compared to the CPLEX MIP solver, for problem instances containing 300 demand nodes and 10 facilities. Further, while the CPLEX MIP solver could not solve most of the instances beyond 300 demand nodes and 10 facilities even after 20 hours, two of our variants of Benders decomposition could solve instances upto the size of 500 demand nodes and 15 facilities in less than 0.5 hour, on average.

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