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851 items in total found

Journal Articles | 2022

Neither complements nor substitutes: Examining the case for coalignment of contract-based and relation-based alliance governance mechanisms in coopetition contexts

Rajnish Rai and Mitul Surana

Long Range Planning

Although the extant literature recognizes that the contract-based and relation-based alliance governance mechanisms (AGMs) play a significant role in the success of alliances, the nature of their interplay still remains ambiguous. In this study, we move away from the traditional debate between contract- and relation-based AGMs as substitutes versus complements. Instead, we offer the notion of “fit” or the “coalignment” as a more appropriate frame to explain the interplay between contract- and relation-based AGMs in the coopetition context. We conceptualize ‘Coalignment of Alliance Governance Mechanisms’ (CAGM) as a distinct higher-order construct and outline a methodological orientation to estimate the coalignment of the two forms of AGMs. We conduct a longitudinal study using primary data from 320 matched coopetition alliances in high-technology research-intensive sectors in India and find that the CAGM explains better the impact of governance mechanisms on value creation in coopetition alliances.

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Journal Articles | 2022

SEntFiN 1.0: Entity-aware sentiment analysis for financial news

Ankur Sinha, Satishwar Kedas, Rishu Kumar, and Pekka Malo

Journal of the Association for Information Science and Technology

Fine-grained financial sentiment analysis on news headlines is a challenging task requiring human-annotated datasets to achieve high performance. Limited studies have tried to address the sentiment extraction task in a setting where multiple entities are present in a news headline. In an effort to further research in this area, we make publicly available SEntFiN 1.0, a human-annotated dataset of 10,753 news headlines with entity-sentiment annotations, of which 2,847 headlines contain multiple entities, often with conflicting sentiments. We augment our dataset with a database of over 1,000 financial entities and their various representations in news media amounting to over 5,000 phrases. We propose a framework that enables the extraction of entity-relevant sentiments using a feature-based approach rather than an expression-based approach. For sentiment extraction, we utilize 12 different learning schemes utilizing lexicon-based and pretrained sentence representations and five classification approaches. Our experiments indicate that lexicon-based N-gram ensembles are above par with pretrained word embedding schemes such as GloVe. Overall, RoBERTa and finBERT (domain-specific BERT) achieve the highest average accuracy of 94.29% and F1-score of 93.27%. Further, using over 210,000 entity-sentiment predictions, we validate the economic effect of sentiments on aggregate market movements over a long duration.

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Journal Articles | 2022

How Do MNEs and Domestic Firms Respond Locally to a Global Demand Shock? Evidence from a Pandemic

Arzi Adbi, Chirantan Chatterjee, and Anant Mishra

Management Science

Global shocks bring unanticipated changes in the business environment of foreign multinational enterprises (MNEs) and rival domestic firms. We examine whether there is a difference between how MNEs and domestic firms react in heterogeneous local or subnational markets to a global demand shock. Leveraging the 2009–2010 H1N1 influenza pandemic as a source of exogenous variation in global demand for influenza vaccines, we investigate the role of subnational heterogeneity in economic resources, industry infrastructure, and political alignment within an emerging economy on the behavior of incumbent MNEs and rival domestic firms. We find that following the pandemic, MNE market share in the influenza vaccine market relative to the noninfluenza vaccine markets declines more in regions with lower government health spending per capita and also, in regions unaligned with the federal government. Additional analyses suggest that these changes in market share are not caused by a reduction in MNE revenues. Rather, they are caused by domestic firms that were already present in noninfluenza vaccine markets diversifying by entering the highly related influenza vaccine market. Finally, a granular examination of the differential responses reveals that such responses are not related to preshock differences in regional coverage of MNEs and domestic firms. This study contributes to the extant literature by suggesting that the direct costs or opportunity costs of new market and region entry are relatively greater for MNEs than for domestic firms, particularly in regions that have inadequate health infrastructure and are politically not aligned.

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Journal Articles | 2022

Domestic workers and sexual harassment in India: Examining preferred response strategies

Akshaya Vijayalakshmi, Pritha Dev, and Vaibhavi Kulkarni

World Development

The purpose of this research is to understand how women working as domestic workers, who are part of the informal sector, are likely to respond to sexual harassment incidents. Unlike the organized sector, women in informal and nontraditional workspaces often do not have access to formal organizational mechanisms for lodging complaints, thus making it important to understand their response strategies. To understand their likely response to sexual harassment in the informal sector, we conducted a detailed survey of 387 domestic workers in India where we presented each respondent with eleven possible sexual harassment scenarios and nine possible responses to each such scenario. We find that (a) women are most likely to employ strategies that are self-focused and with minimal support from friends/family. (b) Women complain to authorities/family only when they can furnish evidence of harassment. (c) Women are not likely to complain to their female supervisor under any circumstances. And (d) unsurprisingly, poorer, and migrant women are likely to be more silent than women who are relatively better-off about harassment. The results, in brief, show a distrust of the current systems. By examining this informal and unorganized workspace, we offer a stronger theoretical understanding of employee responses to sexual harassment and provide practical suggestions.

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Journal Articles | 2022

Routing and charging facility location for EVs under nodal pricing of electricity: A bilevel model solved using special ordered set

Sebastián González, Felipe Feijoo, Franco Basso, Vignesh Subramanian, Sriram Sankaranarayanan, and Tapas K. Das

IEEE Transactions on Smart Grid

We consider the problem of identifying optimal location of electric vehicle (EV) charging stations, while accounting for (i) route optimization and (ii) charging cost optimization by the EV fleets, where the electricity price is obtained endogenously by an optimal power flow (OPF) model. We solve the problem using a bi-objective bilevel programming framework with the objectives being one of minimising travel time and the other of minimising EV charging cost. The upper level problem consists of the facility location and the transportation model and the lower level problem consists of the OPF model. After reformulating this computational hard problem as a mathematical program with equilibrium constraints (MPEC), we solve the problem using a special ordered sets-type 1 (SOS1)-based approach. We record the significant improvement in speed by our method, as opposed to the standard Big-M approach. Finally, we apply the technique to the Sioux Falls transportation network with the IEEE 14-bus electricity network embedded on it. We observe that solutions through our models results in as much 37% lower operating costs for the EVs.

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Journal Articles | 2022

A bilevel conic optimization model for routing and charging of EV fleets serving long distance delivery networks

Vignesh Subramanian, Felipe Feijoo Sriram Sankaranarayanan, Kevin Melendez, and Tapas K. Das

Energy

Recent unveiling of electric semi-trucks by a number of electric vehicle manufacturers indicates that part of the existing long-distance transportation fleets may soon be electrified. Operators of electric fleets will have to select travel routes considering charging station availability and cost of charging in addition to usual factors such as congestion and travel time. This requires combined modeling of transportation and electric power networks. We present such a model that considers interactions between the two networks to develop optimal routing strategies. The problem is formulated as a multi-objective bilevel conic optimization model. The upper level obtains the routing decision by minimizing a function of charging cost and travel time. The routing decision is used in the lower level that solves the AC optimal power flow model, using second order cone constraints, to determine nodal electricity prices. The model is demonstrated using a numerical problem with 24-Node transport network supported by a modified 5-Bus PJM network. The results show that our model yields optimal routes and charging strategies to meet the objectives of fleet operators. Results also indicate that the optimal routing and charging strategies of the electrified transportation fleet can support power networks to reduce nodal prices via demand response.

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Journal Articles | 2022

Prospect theory preferences and global mutual fund flows

Nilesh Gupta, Anil V. Mishra, and Joshy Jacob

Journal of International Money and Finance

We examine the influence of Cumulative Prospect Theory (CPT) characteristics of fund returns on investment flows with a cross-country data of equity mutual funds. We find that a larger CPT value of the style-adjusted past returns is associated with higher fund flows in the subsequent quarter. The impact is greater for retail-oriented funds, relatively younger funds, and those with higher active share. While funds that score high on the CPT value attract incremental fund flows, they earn a lower alpha than their peers in the following year. The sensitivity of fund flows to the CPT characteristics is higher in countries with greater individualism and short-term orientation. The results are robust to several additional tests and hold across various subsamples of our data. The findings imply that investors have misplaced expectations about the future performance of funds that show higher CPT values and the fund managers cater to these investor preferences.

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Journal Articles | 2022

Pre-Kautilyan period: Crucible of pro-economic ideas and practices

Satish Deodhar

Annals of the Bhandarkar Oriental Research Institute

A number of studies have been conducted in the recent past throwing light on Kautilya’s contribution to economic policy. In his treatise Arthashastra, Kautilya informs that his contribution was based on received knowledge and gives credit to his predecessors. Unfortunately, the specialized works of the predecessors have been lost with the passage of time. I have attempted to scout and collate the economic notions that have appeared interspersed in the available Sanskrit treatises written prior to Arthashastra. Kautilya’s Arthashastra must have evolved from the crucible of such literature. In this context I discuss the four-fold classifications of purusharthas, ashramas, and varnas referenced in ancient texts and their attendant economic implications in the society then. I also cover the economic notions at the macro and institutional level which include policies of a welfare state, practical ideas about public goods, market facilitation, property rights, labour relations and unions, coinage, taxation, and budget deficit.

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Journal Articles | 2022

Work life balance indicators and Talent Management approach: A qualitative investigation of Indian luxury hotels

Sunil Buddhiraja, Biju Varkkey, and Stephen McKenna

Employee Relations: The International Journal

Purpose – The purpose of the study is twofold: (1) it captures the work–life balance (WLB) experiences of front-office employees to inductively classify a set of WLB indicators for the locally owned Indian luxury hotels and (2) it further examines the existing WLB practices of the select hotels with the lens of talent management (TM) approach of key human resource management (HRM) practices (Thunnissen, 2016). Design/methodology/approach – To explore and classify WLB indicators, an exploratory, qualitative approach is utilized by administering seven focus group discussions involving 70 front-office employees working in Indian luxury hotels. Seven in-depth interviews with HR professionals were triangulated with secondary data to capture and analyse the existing WLB practices of sampled organizations. Findings – Four clusters of WLB indicators that are grounded in the lived experiences of front-office employees are identified and presented. Interview data from human resource representatives unveil that hotels consider existing WLB practices as key HRM practices with an inclusive TM approach. The findings also surface the differences in expectations of front-office employees and WLB practices followed by the hotels. Research limitations/implications – First, the paper addresses the issue of WLB from employees’ perspective which is crucial for designing effective WLB practices. Second, the paper contributes to the existing TM literature from the perspective of WLB practices. Originality/value – The originality of the study is grounded in the employees’ lived experiences to classify the WLB indicators for India and further examine the WLB practices through the lens of the TM approach.

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Journal Articles | 2022

Complexity in a multinational enterprise’s global supply chain and its international business performance: A bane or a boon?

Amalesh Sharma, V. Kumar, Sourav Bikash Borah, and Anirban Adhikary

Journal of International Business Studies

The literature on marketing, operations management, and strategy has investigated the impacts of a firm’s supplier network structure and complexity on its financial, environmental, and innovation performance. However, our understanding of how the global supply chain complexities of a multinational enterprise (MNE) affect its international business performance (IBP) is limited. We draw on both the business network theory and information search literature to propose that the various complexity dimensions (e.g., horizontal, vertical, and spatial) of an MNE’s global supply chain have different influences on its subsequent IBP. We argue – and empirically validate – that collaboration, a network orchestration mechanism, enables an MNE to leverage the benefits of complex relationships. Using a dataset of 185 firms taken from multiple industries over 6 years, we show how such complexities have differential effects. In multiple post hoc analyses, we demonstrate how an MNE’s marketing intensity, the interconnectedness among its supply members, and its top management team (TMT)’s international experience all have unique impacts. This study contributes to the existing literature on global supply chain complexity by demonstrating how it can influence MNEs’ IBP. Moreover, we contribute to the strategic IBP literature by outlining effective global supply chain improvement strategies.

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