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3852 items in total found

Journal Articles | 2025

Navigating international entry via strategic alliances: Comparison of family and non-family firms

Sumit Chakraborty, Chitra Singla

International strategic alliances (ISAs) serve as an important vehicle for growth, international expansion, and access to technology and other resources. The choice of governance structure in ISAs—specifically, whether to form an international joint venture (IJV) or an international non-equity alliance (INEA)—is a pivotal decision for firms. However, despite the importance of this choice, the influence of firms' ownership heterogeneity on the choice remains underexplored. In order to address this gap, this study compares family-owned and non-family-owned firms to examine their differing preferences between IJVs and INEAs. Drawing on an integrated risk perspective and the mixed-gamble socioemotional wealth perspective, we argue that family firms exhibit a greater propensity to choose IJVs over INEAs than non-family firms. Moreover, we posit that this preference is amplified by two factors: (1) the industry-relatedness of the alliance partners and (2) the focal firm's prior experience in the partner's home country. Empirical analysis of 1216 cross-border dyadic alliances formed by publicly listed Indian firms between 2000 and 2022 provides robust support for our hypotheses. This study contributes to the literature on international strategic alliances and family firms' internationalization by shedding light on the nuanced governance preferences of family firms in cross-border collaborations.

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Journal Articles | 2025

Does location matter? A study of automotive clusters in India

Andreas Offenloch, Hans Sebastian Heese, Amit Karna

Researchers have become increasingly interested in the agglomeration of firms into industry clusters and the effects of such clusters on firms. We analyze the effects of exposure to original equipment manufacturers (OEMs) and industry clusters on supplier performance, focusing on the avoidance of operations disruptions and the support of a smooth production ramp-up at the OEM, by assessing the suppliers of a multinational automotive OEM in India. We study how the exposure of suppliers to the focal OEM and to clusters affects the ability of suppliers to continuously provide their parts to the OEM within pre-agreed schedules and specifications.

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Journal Articles | 2025

Men in beauty work and feminization of digital labor platforms

Sai Amulya Komarraju, Manisha Pathak-Shelat, Payal Arora, Usha Raman

Extant research on the gendered dynamics on digital labor platforms and care work is divided in terms of focus: (migrant) men involved in supposedly “masculine” work such as driving and delivery, and home-based repair work, and the feminized invisible work performed by women in home-based care-work such as domestic work and beauty work. While such scholarship has merit, it completely dismisses the particularities of the South Asian context where beauty work, considered to be ritually impure work, has historically been performed by men from the marginalized Nai caste. Foregrounding the views of men in beauty work, particularly Nai-barbers (on and off platform), our findings reveal that Nai-barbers find the relocation of work from barbershop to customer’s home by platforms particularly humiliating. The transition from being entrepreneurs, in charge of their barbershops, to mere workers supervised by both platforms and customers, evokes memories of the servitude their ancestors endured. The humiliation and degradation of work they experience are rooted in caste and colonial histories. Our findings underscore the need to go beyond the immediate temporal context to identify the conditions of work that workers find degrading, and situate the feminization of platform economy within the context of coloniality and casticization of power, thus bringing a necessary intersectionality that recognizes but goes beyond gender.

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Journal Articles | 2025

Fiber-to-the-home passive optical distribution network design: A new formulation and valid inequalities using polar duality

Y. K. Agarwal, Sachin Jayaswal

We study the problem of the optimal design of fiber-to-the-home (FTTH) optical access networks. Given a network of nodes and edges rooted at an optical distribution point (ODP) with a given demand for optical fibers at a subset of these nodes, the problem entails finding the optimal placement of splitters, which allows multiple demand points to share a common fiber between ODP and a splitter, such that sum of the costs of the fiber cables and the splitters is minimized. Additionally, it needs to decide on the optimal selection of a cable type of appropriate capacity on each edge of the network to carry the required traffic. The existing literature on FTTH access network design typically assumes the same number of splitting stages for all demand points—specifically, one in case of a single splitting problem (SSP) or two in case of a double splitting problem (DSP). We provide a mixed-integer programming (MIP) formulation of a mixed splitting problem (MSP), wherein some demand points can be served through one stage of splitting, whereas others can be served through two stages of splitting. We further propose several valid inequalities (VIs), with or without a pre-specified template, to strengthen the formulation. Through our computational experiments on large instances, we demonstrate the efficacy of our proposed VIs, which help improve the lower bound of the problem from 79% to 86.9% of the MIP optimal cost, on average. For the special cases of SSP and DSP, we show that our formulation produces much tighter lower bounds compared to the existing formulation in the literature. On top of that, our proposed VIs are comparatively much more effective in tightening the bounds. Specifically, our proposed formulation with our VIs consistently outperforms that available in the literature, being as much as 500 times faster in some instances.

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Journal Articles | 2025

A graph theoretic approach to assess quality of data for classification task

Payel Sadhukhan, Samrat Gupta

The correctness of predictions rendered by an AI/ML model is key to its acceptability. To foster researchers’ and practitioners’ confidence in the model, it is necessary to render an intuitive understanding of the workings of a model. In this work, we attempt to explain a model’s working by providing some insights into the quality of data. While doing this, it is essential to consider that revealing the training data to the users is not feasible for logistical and security reasons. However, sharing some interpretable parameters of the training data and correlating them with the model’s performance can be helpful in this regard. To this end, we propose a new measure based on Euclidean Minimum Spanning Tree (EMST) for quantifying the intrinsic separation (or overlaps) between the data classes. For experiments, we use datasets from diverse domains such as finance, medical, and marketing. We use state-of-the-art measure known as Davies Bouldin Index (DBI) to validate our approach on four different datasets from aforementioned domains. The experimental results of this study establish the viability of the proposed approach in explaining the working and efficiency of a classifier. Firstly, the proposed measure of class-overlap quantification has shown a better correlation with the classification performance as compared to DBI scores. Secondly, the results on multi-class datasets demonstrate that the proposed measure can be used to determine the feature importance so as to learn a better classification model.

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Journal Articles | 2025

Trading off travel distance and fatigue. The effect of storage, order batching, and pod selection in robotic mobile fulfillment systems

Zhongqiang Ma, René de Koster, Debjit Roy, Guohua Wu

Many e-commerce warehouses use robotic mobile fulfillment system (RMFS), where humans collaborate with robots to pick the orders. The performance of such systems depends on the joint performance of robots and humans. The performance of the workers is affected by fatigue, or the energy that it takes them to pick the items. In this paper, we study the effect of scattered storage assignment, order batching, and pod selection to minimise the total picker energy expenditure and the total robot transport distance. We introduce a mixed-integer programming formulation (called JIOPP) and introduce the NSGAII-ILS algorithm to heuristically solve it for real-world instances. Extensive numerical experiments on real-world instances show that NSGAII-ILS is competitive compared to state-of-the-art algorithms and can find Pareto solution sets that are closer to the true Pareto frontier. We evaluate the effects of batch sizes, the number of pod layers, and different pod selection policies. The results show that batching orders can save more than 35% of the picker's energy expenditure and more than 70% of the robot's transportation distance. Using the ‘golden zone’ layers on the pod selecting the right pod for retrieval are important for striking a balance between worker fatigue and order picking efficiency.

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Journal Articles | 2025

Broiler contracting in Punjab: Contract farming or wage work?

Naresh Singla, Sukhpal Singh

The persistence of agrarian crises and failure of crop diversification policies in green revolution regions of India such as Punjab necessitate exploring the role of allied agricultural sectors such as livestock for small farmer livelihood generation. A comprehensive analysis of broiler contract farming in Punjab shows that though broiler contract farming was inclusive, as growers were less resourceful, less literate and less experienced than their non-contract counterparts, value sharing with small growers did not happen. As a result, profitability from broiler rearing was lower in contract farming as compared to non-contract (independent) production. The case study suggests the collectivisation of small growers through cooperatives/producer company mechanisms to negotiate with the contracting agency in terms of prices and the effective regulation of contract farming for the protection of farmer interests.

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Working Papers | 2025

Navigating the Indian Corporate Purpose Dilemma: Insights from an Entity-Based Approach

Astha Pandey and M P Ram Mohan

Contemporary versions of the corporate purpose debate highlight the interconnectedness of the forces in corporate law and governance that are critical to importing social welfare as a priority concern into the governance frame. The Indian legal and regulatory framework governing corporate purpose, which embodies pluralistic stakeholderism, offers valuable insights to inform on-going deliberations on this subject in comparative corporate governance scholarship. This article contends that the Indian corporate purpose framework reflects an inherent paradox underpinning its corporate law and governance mechanisms, comprising two limbs - first, the imbalance between directors’ duties and shareholders’ rights which has left critical questions around controlling shareholders’ accountability unaddressed; and second, contradictions in the theoretical foundations underlying the framework which result in ambiguities stemming therefrom. This article seeks to examine the Indian approach to corporate purpose through an analysis of the paradox, the implication of which is that it serves to impede the implementation of stakeholder governance. In so doing, first, we assess critical features of India’s framework, through the lens of the manner in which powers, rights and duties are distributed amongst various corporate constituencies within it. Second, we examine three distinct corporate governance theories underlying the Indian framework, namely, shareholder primacy, stakeholder theory and real entity theory, their implications for corporate purpose and the manner in which they interact with and contribute to ambiguities in the framework. Lastly, we analyse the manner in which anchoring the Indian stakeholder governance approach in the real entity conception of the corporation can address the identified ambiguities and provide an appropriate theoretical basis for operationalizing a broader corporate purpose.

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Journal Articles | 2025

Impact of virtual presence of others on social media service recovery evaluations: A cross-cultural perspective

Sanchayan Sengupta, Md Rokonuzzaman, Anand Kumar Jaiswal, Raffaele Filieri

With the growing prevalence of social media as a platform for customer complaints, understanding cross-cultural differences in service recovery becomes crucial. This research investigates how the presence of social media observers influences service recovery satisfaction across different cultures. We examine how cultural orientation shapes responses to service recovery efforts through three experiments that compare collectivistic and individualistic consumers. Our findings reveal that collectivists report lower satisfaction and brand loyalty intentions during partial social media recovery attempts compared to email-based recovery. However, when managers provide customized apologies on social media, collectivist consumers show significantly improved service recovery evaluations, particularly due to the role of face concern. We demonstrate the critical interaction between virtual presence, cultural orientation, and face concern in determining behavioral engagement with brands during recovery. Our research contributes to service recovery theory by integrating social impact theory with cross-cultural consumer behavior and offers practical guidelines for managing service failures.

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Journal Articles | 2025

Governance beyond borders: Exploring executive overconfidence and firm performance using meta-analysis

Promila Agarwal, Saneesh Edacherian, Amit Karna, Ashneet Kaur, Sudhanshu Maheshwari

This study examines the complex relationship between executive overconfidence and firm performance, highlighting the moderating role of country-level factors. By conducting a meta-analysis of 116 independent effect sizes from global studies, this research aims to clarify the ambiguous effects of executive overconfidence, emphasizing the significance of national contexts.

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