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3848 items in total found

Popular Press | 2020

Philanthropy during Covid-19 crisis: Role of crowdfunding platforms (with Vimalkumar M and Sujeet K Sharma)

Rajesh Chandwani

ETGovernment.com

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

The impact of implicit theories of personality malleability on opportunistic financial reporting

Naman Desai, Shailendra Pratap Jain,Shalini Jain, and Arindam Tripathy

Journal of Business Research

Individuals typically believe that a highly valued personal attribute is a non-malleable trait-like entity (entity theory), or that the attribute is malleable and can be changed and developed (incremental theory). Research suggests that entity theorists perceive existing norms, regulations, and moral orders to be more rigid, whereas incremental theorists assess morality in terms of broad principles that shape world views. We argue that these differences in traits would increase incremental theorists’ propensity to act opportunistically as compared to entity theorists. The results of our experiments confirm these expectations and indicate that business pressures are an overarching driver of opportunistic financial reporting. This result suggests that while pressures and personal attributes do interact to drive opportunistic behavior, if individuals are put under pressure, they are likely to act opportunistically irrespective of their personal attributes. Additionally, our results also indicate that mindsets are a stable predictor of opportunistic behavior across different contexts.

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Journal Articles | 2020

stochastic loss reserving: A new perspective from a Dirichlet model

Karthik Sriram and Peng Shi

Journal of Risk and Insurance

Forecasting the outstanding claim liabilities to set adequate reserves is critical for a nonlife insurer's solvency. Chain–Ladder and Bornhuetter–Ferguson are two prominent actuarial approaches used for this task. The selection between the two approaches is often ad hoc due to different underlying assumptions. We introduce a Dirichlet model that provides a common statistical framework for the two approaches, with some appealing properties. Depending on the type of information available, the model inference naturally leads to either Chain–Ladder or Bornhuetter–Ferguson prediction. Using claims data on Worker's compensation insurance from several U.S. insurers, we discuss both frequentist and Bayesian inference.

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Journal Articles | 2020

Interplay between constraints and rewards in innovation tournaments: implications for participation

Swanand J. Deodhar

International Journal of Cooperative Information Systems

In this study, we examine how the monetary rewards and competitive constraints that organizers of innovation tournaments incorporate are associated with participation. These two aspects of innovation tournaments are crucial because they represent critical design decisions that the organizers must make beforehand. We show that the reward amount is negatively associated with participation, while the presence of competitive constraints, which “make the competitive landscape less asymmetric”, is positively associated with participation. Furthermore, the study shows that competitive constraints moderate the negative association between reward amount and participation. These findings provide insights into contestant motivation as well as the interdependencies between tournament design choices.

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Journal Articles | 2020

Modeling and design of container terminal operations

Debjit Roy, Rene De Koster, and Rene Bekker

Operations Research

The design of container terminal operations is complex because multiple factors affect operational performance. These factors include numerous choices for handling technology, terminal topology, and design parameters and stochastic interactions between the quayside, stackside, and vehicle transport processes. In this research, we propose new integrated queuing network models for rapid design evaluation of container terminals with automated lift vehicles and automated guided vehicles. These models offer the flexibility to analyze alternate design variations and develop insights. For instance, the effect of different vehicle dwell point policies is analyzed using state-dependent queues, whereas the efficient terminal layout is determined using variation in the service time expressions at the stations. We show the relation among the dwell point–dependent waiting times and also show their asymptotic equivalence at heavy traffic conditions. These models form the building blocks for design and analysis of large-scale terminal operations. We test the model efficacy using detailed in-house simulation experiments and real-terminal validation by partnering with an external party.

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Journal Articles | 2020

Using complier average causal effect estimation to examine student outcomes of the pax good behavior game when integrated with the PATHS curriculum

Catherine P. Bradshaw, Kathan Shukla, Elise T. Pas, Juliette K. Berg, and Nicholas S. Lalongo

Administration and Policy in Mental Health and Mental Health Services Research

A growing body of research has documented a link between variation in implementation dosage and outcomes associated with preventive interventions. Complier Average Causal Effect (CACE; Jo in J Educ Behav Stat 27:385-409, 2002) analysis allows for estimating program impacts in light of variation in implementation. This study reports intent-to-treat (ITT) and CACE findings from a randomized controlled trial (RCT) testing the impacts of the universal PAX Good Behavior Game (PAX GBG) integrated with Promoting Alternative Thinking Strategies (i.e., PATHS to PAX) and PAX GBG only compared to a control. This study used ratings by 318 K-5 teachers of 1526 at-risk children who, at baseline, were rated as displaying the top 33rd percentile of aggressive-disruptive behavior. Leveraging a prior study on these data (Berg et al. in Admin Policy Ment Health Ment Health Serv Res 44:558-571, https://doi.org/10.1007/s10488-016-0738-1 , 2017), CACE was defined as the effect of intervention assignment for compliers, using two compliance cut points (50th and 75th percentile), on posttest ratings of student academic engagement, social competence, peer relations, emotion regulation, hyperactivity, and aggressive-disruptive behavior. The ITT analyses indicated improvements for students in the integrated condition on ratings of social competence compared to the control condition. The CACE analyses also indicated significant effects of the integrated intervention on social competence, as well as academic engagement and emotion regulation for students in high compliance classrooms. These findings illustrate the importance of considering variation in implementation within the context of RCTs.

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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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Journal Articles | 2020

Implications of land use transitions and climate change on local flooding in urban areas: An assessment of 42 Indian cities

Vidhee Avashia and Amit Garg

Land Use Policy

Urban development induced land transitions affect urban hydrology, resulting in increased flooding risks. Climate change-related precipitation changes are an added complexity to the flood risks of cities. This study examines the role of land use changes in determining the occurrence of urban flooding events across 42 Indian cities under current and future climate change scenarios. Landsat images for 1990, 2000, 2010, and 2017 have been processed using a hybrid classification technique to determine the land use shares for all cities. A typical event-count study using newspaper archives has been conducted to create a flooding event database. A multilevel model employing logistic mixed-effects approach was used. Future projections of the occurrence of flooding events for nine models under three climate change-related Representative Concentration Pathways (RCPs)—2.6, 4.5, and 8.5—and three urban development scenarios have been carried out. The results suggest that cities should preserve the land uses that act as a sponge—the green, open and blue spaces. As these spaces decrease, the projected flooding events increase. Under the RCP 2.6 scenario, the number of flooding events is significantly lower (95 % confidence) than under RCPs 4.5 and 8.5. The expected flooding occurrences between RCP4.5 and RCP8.5 are not significantly different (95 % confidence) for many scenarios, suggesting that Indian cities should aim for a world temperature increase of below 2 °C, or devastating consequences are imminent. This study highlights the need for Indian cities to undertake integrated spatial planning measures for a resilient, sustainable urban future.

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IIMA