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743 items in total found

Journal Articles | 2023

Litigating Barbie: trade mark infringement, parody and free speech

M. P. Ram Mohan, and Aditya Gupta

Delaware Journal of Corporate Law

In the contemporary marketplace, trade marks are not mere monikers of origin. While often regarded as commercial symbols, trade marks sometimes become part of the commonplace vocabulary and are indelibly linked to expressing ideas and thoughts. In recent years, the dichotomy of expansive protection offered through the trade mark law and use of marks as part of expressive vocabulary has become increasingly controversial. One such trade mark which has amassed immense communicative strength is Mattel Inc.’s Barbie. The mark has assumed an enduring prominence in contemporary language and has assumed the status of a cultural icon. The present study examines the regulation of expressive secondary uses of trade marks by employing Barbie as a case study. Comparatively analysing the treatment of the Barbie mark in India, the USA, and Canada, the authors underline an imperative need to adopt a legislative framework to protect the expressive and artistic secondary use of popular trade marks.

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Journal Articles | 2023

Emerging practices and research issues for big data analytics in freight transportation

Michael F. Gorman, John-Paul Clarke, René de Koster, Michael Hewitt, Debjit Roy, and Mei Zhang

Maritime Economics & Logistics

Freight transportation has been experiencing a renaissance in data sources, storage, and dissemination of data to decision makers in the last decades, resulting in new approaches to business and new research streams in analytics to support them. We provide an overview of developments in both practice and research related to big data analytics (BDA) in each of the major areas of freight transportation: air, ocean, rail, and truck. In each case, we first describe new capabilities in practice, and avenues of research given these evolving capabilities. New data sources, volumes and timeliness directly affect the way the industry operates, and how future researchers in these fields will structure their work. We discuss the evolving research agenda due to BDA and formulate fundamental research questions for each mode of freight transport.

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Journal Articles | 2023

Mutual fund asset allocation during COVID-19: evidence from an emerging market

Joshy Jacob, Nilesh Gupta, and Balagopal Gopalakrishnan

Applied Economics

The paper examines the investment decisions of Indian equity mutual funds during various stages of the COVID-19 pandemic with monthly portfolio holdings. We find that funds favoured firms with lower risk, higher financial flexibility, and larger size during the early months of the pandemic. The preference for relatively low-risk firms, which reverses later, suggests a reallocation towards safer assets. Funds also preferred growth firms to value firms as the latter with greater invested capital are more vulnerable to the shock. Institutional investors also favoured group-affiliated firms throughout, reflecting their lower crisis vulnerability. We find that the stocks preferred by funds during the pandemic outperform others in the long run. The paper brings out key firm characteristics that impact mutual fund asset allocation during extreme uncertainty.

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Journal Articles | 2023

A General purpose exact solution method for mixed integer concave minimization problems

Ankur Sinha, Arka Das, Guneshwar Anand, and Sachin Jayaswal

European Journal of Operational Research

In this article, we discuss an exact algorithm for solving mixed integer concave minimization problems. A piecewise inner-approximation of the concave function is achieved using an auxiliary linear program that leads to a bilevel program, which provides a lower bound to the original problem. The bilevel program is reduced to a single level formulation with the help of Karush–Kuhn–Tucker (KKT) conditions. Incorporating the KKT conditions lead to complementary slackness conditions that are linearized using BigM, for which we identify a tight value for general problems. Multiple bilevel programs, when solved over iterations, guarantee convergence to the exact optimum of the original problem. Though the algorithm is general and can be applied to any optimization problem with concave function(s), in this paper, we solve two common classes of operations and supply chain problems; namely, the concave knapsack problem, and the concave production-transportation problem. The computational experiments indicate that our proposed approach outperforms the customized methods that have been used in the literature to solve the two classes of problems by an order of magnitude in most of the test cases.

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Journal Articles | 2023

Predicting the outbreak of epidemics using a network-based approach

Saikat Das, Indranil Bose, and Uttam Kumar Sarkar

European Journal of Operational Research

The spread of epidemics is a common societal problem across the world. Can operational research be used to predict such outbreaks? While equation-based approaches are used to model the trajectory of epidemics, can a network-based approach also be used? This paper presents an innovative application of epidemic modelling through the design of both approaches and compares between the two. The network-based approach proposed in this paper allows implementing heterogeneity at the level of individuals and incorporates flexibility in the variety of situations the model can be applied to. In contrast to the equation-based approach, the network-based approach can address the role of individual differences, network properties, and patterns of social contacts responsible for the spread of epidemics but are much more complex to implement. In this paper, we simulated the spread of infection at the beginning of Covid-19 (Coronavirus disease 2019) using both approaches. The results are showcased using empirical data for eight countries. Sophisticated measures, including partial curve mapping, are used to compare the simulated results with the actual number of infections. We find that the plots generated by the network-based approach match the empirical data better than the equation-based approach. While both approaches can be used to predict the spread of infections, we conclusively show that the proposed network-based approach is better suited with its ability to model the spread of epidemics at the level of an individual. Hence, this can be a model of choice for epidemiologists who are interested to model the spread of an epidemic.

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Journal Articles | 2023

Movies, stigma and choice: Evidence from the pharmaceutical industry

Mayank Aggarwal, Anindya S. Chakrabarti, and Chirantan Chatterjee

Health Economics

Do movies reduce stigma, increasing healthcare product choices offered by firms? We provide causal evidence on this question in the context of Indian pharmaceutical markets. For unpacking these effects, we use an exogenous shock to the market due to the release of a Bollywood blockbuster movie - My Name is Khan (MNIK) where the protagonist, superstar Shahrukh Khan, suffers from Asperger's Syndrome (AS). Using a difference-in-differences design, we find a positive and statistically significant effect of MNIK (between 14% and 22% increase in variety sold and prescribed) on product differentiation and choices in the market for antipsychotic medicines used to clinically treat AS. Results are consistent using alternative controls, a placebo treatment-based test and with a variety of other robustness checks. Our findings document likely for the first-time, supply side responses to edutainment and suggests potential associated welfare effects in healthcare markets characterized by sticky demand. Implications for global health and public policy given worldwide concerns around a mental wellness epidemic with Covid-19 are discussed.

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Journal Articles | 2023

Beyond the technology-centric and citizen-centric binary: Ontological politics of organizing in translation of the smart city discourse in India

Harsh Mittal, George Kandathil, and Navdeep Mathur

Organization

Smart city (SC) experts in India often center-stage citizens as an alternative to a technology-led transformation. A substantial body of literature on smart cities sustains this resultant binary between techno-centrism and citizen-centrism. Mobilizing ANT sensibilities, we generate an ethnographic narrative on how the smart city discourse has translated into everyday processes of city administration and urban governance in India. Our account unmutes more-and-other-than-human actants—event-stage, glossy publications, ceremonial awards, conference producers, and decision-makers—in the translation of SC discourse, with following effects: the uncertainties in the translation process are foregrounded which potentially destabilize center-staged actor identities; and the work of heterogeneous actants in articulating the citizen as the center of their efforts is revealed, thereby de-naturalizing the binarized reality. Furthermore, when unmuted, more-and-other-than-humans spell out their ongoing collaborations and negotiations and generate a nuanced reading of the clashes and accommodations made in the process of translating SC discourse in everyday settings of city administrations. These effects lead us to emphasize the translation of SC discourse as an uncertain socio-material process proceeding through episodic clashes and tentative accommodations. They also invite a conceptual expansion of translation as constitutive of the ontological politics of organizing, which insists on attending to ongoing collaborations and negotiations among more-and-other-than-humans that compose organizational realities. Thus, we address critical organization and management studies’ concerns regarding ANT’s alignment with its objectives by locating politics in the performance of, and interference into, the multiple realities that are being enacted through practices that assemble experts, decision-makers and non-humans.

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Journal Articles | 2023

Debunking fake ad claims: The moderating role of gender

Somak Banerjee, Joseph F. Rocereto, Hyokjin Kwak, and Arpita Pandey

International Journal of Advertising

Countering ads with fake claims represent a significant challenge for marketers and policymakers. We show how gender can help better target debunking efforts toward fake ads. First, we find that females (vs. males) show higher sensitivity to debunking efforts toward fake ads, leading to less favorable attitudes toward the brand and, consequently, lower purchase intentions. We then further probe these effects by introducing processing variables from the tenets of perceived risk (perceived health risk) and information processing confidence (skepticism toward the ad). We find that debunking information induces higher levels of skepticism among females owing to their lower information processing confidence than males, leading to downstream effects of higher perceptions of health risk, less favorable attitudes toward the brand, and lower purchase intentions among females than males. Our findings provide implications for advertisers and policymakers to battle the ongoing proliferation of fake ads.

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Journal Articles | 2023

Brand affiliation and the hotel asset market

Peng Liu, Julia Freybote, and Prashant Das

International Journal of Hospitality Management

Brand affiliation represents a signal about the future operating performance of a hotel that reduces information asymmetries between hotel buyers and sellers. However, information asymmetries vary across property-level and locational characteristics of hotels. We hypothesize that hotel brand affiliation as a signal is most valuable to investors when information asymmetries are higher due to hotel characteristics such as a lower-tier hotel class, suburban location, or poorer building condition. Using a sample of 23,323 hotel transactions from 1986 to 2021, we provide evidence that branded hotels with characteristics indicating higher information asymmetries achieve a higher transaction price and shorter marketing time than similar independent hotels. Transaction price and marketing time do not differ between branded and independent hotels with characteristics indicating lower information asymmetries.

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Journal Articles | 2023

Voting on auditor ratification by shareholder type: Impact of institutional shareholder dissent on NAS fees and audit quality

Siddharth Purohit, and Naman Desai

Journal of Accounting, Auditing & Finance

Institutional investors have a better understanding of corporate performance than non-institutional investors, and their presence tends to improve the overall governance mechanism of a company and discipline top management against taking self-serving or myopic decisions. In this study, we examine shareholder voting patterns on auditor reappointments in Indian companies and examine whether institutional shareholder dissent on auditor reappointment acts as a disciplining mechanism on subsequent auditor actions and leads to improvement in audit quality. Our results indicate that institutional shareholder dissent on auditor reappointment is positively related to relative magnitude of non-audit services (NAS) fees in the previous year. More importantly, we observe that auditors are sensitive to institutional dissent and respond by charging a lower amount of NAS fees and providing superior audit quality in the subsequent year to signal increased independence and objectivity. Similar results are not observed in the case of retail shareholders. Our findings reinforce the role of institutional shareholders as important monitors in the corporate governance process and call for regulation to mandate the participation of shareholders in the auditor appointment process.

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