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743 items in total found

Journal Articles | 2020

Psychological containment of organisational toxicity and its spillovers

Ajeet N Mathur

Organisational & Social Dynamics

Organisational toxicity can thwart creation and sharing of knowledge necessary for collaborations. Psychological phenomena lurking in covert processes affect dynamics of containment and spillovers of organisational toxicity. This study discusses insights from four longitudinal action research studies in organisations across a spectra of technologies and technology intensities to examine containment and spillovers of organisational toxicity. This article concludes that strategic juxtaposition of ends, ways, and means requires sociotechnical structures to provide reliability; techno-economic systems for coping with anxieties around uncertainties of value-adding functions; and, socioeconomic processes for credibility and aesthetics to promote harmony. Together, under certain conditions, this trine of structures, systems, and processes may facilitate mitigation of toxicity with more understanding of the toxicity bred in systems from introjections, projections, transferences, and countertransferences. Sustaining a shared core to cultivate inner awareness and wisdom for the common good requires hermeneutic endeavours to work with unconsciously held phenomenal primary tasks. This article raises new research questions for understanding the scope and limits of these conditions in old and new combinations of scale, growth, and dominance.

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Journal Articles | 2020

Financial misconduct, fear of prosecution and bank lending

Abhiman Das, Avijit Bansal, and Saibal Ghosh

Economic and Political Weekly

The issue and relevance of financial misconduct and fear of prosecution on the lending behaviour of Indian banks is investigated by combining bank-level financial and prudential variables during 2008–18 with a unique hand-collected data set on financial misconduct and fear of prosecution. The findings indicate that, in the presence of financial misconduct, state-owned banks typically cut back on credit creation and instead increase their quantum of risk-free investment. In terms of magnitude, a 10% increase in financial misconduct lowers lending by 0.2% along with a roughly commensurate increase in investment. In terms of the channels, it is found that private banks increase provisioning to maintain their credit growth, although the evidence for state-owned banks is less persuasive.

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Journal Articles | 2020

Identifying the drivers of luxury brand sales in emerging markets: An exploratory study

Sourav Borah, Amalesh Sharma, Mauli Soni, and Alok R Sahoo

Journal of Business Research

Luxury brands across the globe have made inroads into emerging markets (EM). While some brands have succeeded in one EM, they have failed to replicate their success in others. We investigate the drivers of luxury brand sales in EM using a multi-method approach. First, through a qualitative study, we identify which market characteristics of EM (market heterogeneity, competition from unbranded products, socio-political governance, and resources and infrastructure) affect luxury brand sales, with a firm’s marketing effort and a market’s financial freedom being important contingencies. Second, we empirically test the insights using data from 88 luxury brands and robust econometric analyses. Our results show that market characteristics influence luxury sales and that the effects of such market characteristics on luxury brand sales are heterogeneous. We also find significant moderating effects of marketing efforts and financial freedom. Our study thus extends the literature on the marketing of luxury brands and EM.

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Journal Articles | 2020

AGV or lift-AGV? Performance trade-offs and design insights for container terminals with robotized transport vehicle technology

Govind Lal Kumawat and Debjit Roy

IISE Transactions

New container terminals are embracing robotized transport vehicles such as lift-automated guided vehicles (LAGVs) and automated guided vehicles (AGVs) to enhance the terminal throughput capacity. Although LAGVs have a high container handling time, they require less coordination with other terminal equipment in comparison with AGVs. In contrast, AGVs are hard-coupled resources, require less container handling times, but operate with high coordination delays in comparison with LAGVs. The effect of such operational trade-offs on terminal performance under various design parameter settings, such as yard block layout and a number of resources, is not well understood and needs to be evaluated at the terminal design phase. To analyze these trade-offs, we develop stylized semi-open queuing network models, which consist of two-phase servers and finite capacity queues. We develop a novel network decomposition method for solving the proposed queuing models. The accuracy of the solution method is validated using detailed simulation models. Using the analytical models, we study the performance trade-offs between the transport vehicle choices: LAGVs and AGVs. Our results show that the throughput capacity of the terminal in the container unloading process increases by up to 16% if LAGVs are chosen as transport vehicles instead of AGVs. However, at certain parameter settings, specifically, when the arrival rate of containers is low, the throughput time performance of the terminal is higher (up to 8%) with AGVs than with LAGVs. We also derive insights on the yard block layout and the technology choice for quay cranes.

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Journal Articles | 2020

Insolvency regimes and firms' default risk under economic uncertainty and shocks

Balagopal, Gopalakrishnan, and Sanket Mohapatra

Economic Modelling

One of the arguments often advanced for implementing a stronger insolvency and bankruptcy framework is that it enhances credit discipline among firms. Using a large cross-country firm-level dataset, we empirically test whether a stronger insolvency regime reduces firms' likelihood of defaulting on their debt. In particular, we examine whether it reduces default risk during increased economic uncertainty and various external shocks. Our results confirm that a stronger insolvency regime moderates the adverse effects of economic shocks on firms' default risk. The effects are more pronounced for firms in the top half of the size distribution. We also explore channels through which improved creditor rights influence firms' default risk, including dependence on external finance, corporate leverage, and managerial ethics. Our main results are robust to an alternative measure of default risk, inclusion of currency and sovereign debt crisis episodes, and alternative estimations.

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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

Covid-19′s impact on supply chain decisions: Strategic insights from NASDAQ 100 firms using Twitter data

Amalesh Sharma, Anirban Adhikary, and Sourav Bikash Borah

Journal of Business Research

The coronavirus pandemic is having a clear impact on the supply chains of virtually all manufacturers, retailers, and wholesalers. As the world attempts to navigate through this difficult time, most companies are struggling to maintain a steady flow of required goods and services. Whether it is frozen foods and grocery items (i.e., toilet papers), or ventilators and masks, or even the services (i.e., clinic visits), the supply chain has been facing multiple obstacles. Most models and frameworks built in the extant literature are not been able to capture these disruptions and as such, firms are not having proper strategies to deal with. For firms with complex supply chains (i.e., manufacturing, retailing), it is indeed critical to identify strategies to deal with such a crisis. In this paper, we intend to offer strategic insights in terms of major issues firms are facing and strategic options firms are contemplating. We rely on the twitter data from NASDAQ 100 firms to generate themes regarding the issues faced by the firms and the strategies they are adopting using text analytics tools. We find that firms are facing challenges in terms of demand-supply mismatch, technology, and development of a resilient supply chain. Moreover, moving beyond profitability, firms are experiencing difficulties to construct a sustainable supply chain. We provide futuristic strategic recommendations for the rebuilding of the supply chain.

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Journal Articles | 2020

The rise of the technological manager in India in the 1960s: the role of the Indian institutes of management

Chinmay Tumbe

Management & Organizational History

A distinctive aspect of India’s managerial elite is that it is dominated by people with an educational background in engineering. This paper unravels the history of how this major phenomenon arose, by tracking the evolution of management education in mid-twentieth century India. It emphasizes the significance of the network developed between the Indian Institutes of Technology (IITs) and Indian Institutes of Management (IIMs) and points to important contextual factors including the industrial recession of 1968–70 and admission test criteria that contributed heavily to the rise of the ‘technological manager’. Some of these factors continued to be important in the early twenty-first century, having implications on the diversity of educational backgrounds and diversity by gender among India’s managerial elite.

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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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