Bao Yong, Fan Yanqin, Su Liangjun and Zinde-Walsh Victoria
This paper examines Aman Ullah’s contributions to robust inference, finite sample econometrics, nonparametrics and semiparametrics, and panel and spatial models. His early works…
Abstract
This paper examines Aman Ullah’s contributions to robust inference, finite sample econometrics, nonparametrics and semiparametrics, and panel and spatial models. His early works on robust inference and finite sample theory were mostly motivated by his thesis advisor, Professor Anirudh Lal Nagar. They eventually led to his most original rethinking of many statistics and econometrics models that developed into the monograph Finite Sample Econometrics published in 2004. His desire to relax distributional and functional-form assumptions lead him in the direction of nonparametric estimation and he summarized his views in his most influential textbook Nonparametric Econometrics (with Adrian Pagan) published in 1999 that has influenced a whole generation of econometricians. His innovative contributions in the areas of seemingly unrelated regressions, parametric, semiparametric and nonparametric panel data models, and spatial models have also inspired a larger literature on nonparametric and semiparametric estimation and inference and spurred on research in robust estimation and inference in these and related areas.
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Sadia Samar Ali, Rajbir Kaur and Jose Antonio Marmolejo Saucedo
Dennis Caplan and Saurav K. Dutta
Recent public policy initiatives seek greater transparency in financial reporting through an honest, balanced and thorough management discussion of company performance in the…
Abstract
Recent public policy initiatives seek greater transparency in financial reporting through an honest, balanced and thorough management discussion of company performance in the annual report. Management’s discussion invariably includes key performance indicators, such as financial ratios, relevant to external stakeholders. We model the impact of accounting estimates, assumptions, choices and errors on the risk of misleading financial ratios. This framework is illustrated through good and bad examples of financial reporting practices and by simulation of financial data of public companies. We provide a structured approach to inform policymakers, auditors and other stakeholders of the incremental financial reporting risk that accompanies current regulatory efforts.
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Shalendra Satish Kumar, Karalaini Tubuna, Avisekh Asish Lal, Rajneel Ravinesh Prasad and Shiu Lingam
Based on the conservation of resource (COR) theory, this study explores employees’ learning agility (ELA) as an antecedent of knowledge sharing behaviour, specifically in the…
Abstract
Based on the conservation of resource (COR) theory, this study explores employees’ learning agility (ELA) as an antecedent of knowledge sharing behaviour, specifically in the supply chain environment. However, such discretionary behaviour can be negatively affected by the prevalence of psychological contract breaches. According to COR theory, employees' resources (knowledge, ability and skills) act as motivational factors that employees strive to protect, retain and at the same time invest in favour of obtaining more resources. On the other hand, when resource loss weighs more than resource gain, an individual agitated with resource depletion will minimise resource loss by decreasing their effort for future displays of resources. A random sample of 418 participants from the public sector in the Fiji Islands yielded a sample of 418 participants. The proposed model was analysed through structural equation modeling (SEM) to determine its fit. The analysis supports the proposed theoretical framework, providing a new dimension for ELA as an unexplored phenomenon for knowledge sharing behaviour (KSB) in the supply chain. The study specifically draws the attention of policymakers on industry, innovation and infrastructure (SDG09), where immediate actions are needed to create resilient supply chain management through ELA. Research shows that agile employees can easily adapt to unexpected changes, actively participate in discussions and quickly contribute to innovative and creative solutions. KSB can be further developed through a culture of learning and sharing, rewards for KSB, psychological support and upholding its promised obligations through regular communication, establishing a more resilient supply chain management.
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Gourav Dwivedi, Samir K. Srivastava and Rajiv K. Srivastava
A spurt in the usage of additive manufacturing (AM) is observed in industrial applications to produce final parts along with rapid prototyping and rapid tooling. Despite the…
Abstract
Purpose
A spurt in the usage of additive manufacturing (AM) is observed in industrial applications to produce final parts along with rapid prototyping and rapid tooling. Despite the potential benefits of on-demand and on-location production of customised or complex shape parts, widespread implementation of this disruptive production technology is not yet visible. The purpose of this paper is to examine the various barriers to implement AM in the Indian automotive sector and analyse interrelations among them.
Design/methodology/approach
Based on the extant literature and discussions with industry experts, ten major barriers are identified. The authors use a modified Fuzzy interpretive structural modelling (Fuzzy-ISM) method to derive strengths of relationships among these barriers, develop hierarchical levels, and thereafter group and rank these barriers.
Findings
ISM diagraph is developed to demonstrate how the barriers drive one another. Production technology capabilities and government support emerge as the most critical factors, with high driving power and medium dependence.
Research limitations/implications
While identified barriers may be similar across the automotive industry, generalisation of results for interrelationships and ranks in other industries may be limited.
Practical implications
The findings may be useful to managers to develop suitable mitigation strategies, and take more informed decisions, with individual focus, level focus or cluster focus.
Social implications
Findings clearly establish that the role of management and government is crucial in mitigating workers’ resistance to AM implementation.
Originality/value
This paper contributes to AM literature by the structured presentation of the barriers to implement AM in the Indian automotive sector. It also extends the Fuzzy-ISM method by presenting calculation of indirect relations using the appropriate max-product composition and in ranking the barriers.
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Poornima Madan, Shalini Srivastava and Bindu Gupta
Drawing on the frustration-aggression-displacement (FAD) hypothesis, this study investigates the link between supervisor incivility and workplace deviant behavior through the…
Abstract
Purpose
Drawing on the frustration-aggression-displacement (FAD) hypothesis, this study investigates the link between supervisor incivility and workplace deviant behavior through the mediating pathways of supervisor-targeted aggression and emotional exhaustion. Additionally, it examines the moderating role of psychopathy in the relationships between supervisor incivility and supervisor-targeted aggression and supervisor incivility and emotional exhaustion.
Design/methodology/approach
Data were collected from hotel employees through a three-wave study, and variance-based partial least square structural equation modeling (VB-SEM) was employed to analyze the hypothesized associations.
Findings
Results indicate that supervisor-targeted aggression and emotional exhaustion mediate the relationships between supervisor incivility and workplace deviant behavior. However, psychopathy did not show any significant moderating effect.
Practical implications
The findings provide valuable insights for managers to develop effective strategies for reducing organizational incivility and deviant behaviors.
Originality/value
This study identifies two mediating mechanisms linking supervisor incivility to workplace deviant behavior and adds to the limited understanding of how supervisor incivility can lead to negative employee behaviors.
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Introduction: Artificial intelligence (AI), the engineering of brilliant machinery, performs intelligent human intelligence tasks, such as learning and problem-solving. Insurance…
Abstract
Introduction: Artificial intelligence (AI), the engineering of brilliant machinery, performs intelligent human intelligence tasks, such as learning and problem-solving. Insurance is a financial protection policy either for individuals or entities to reimburse losses from the insured company. The role of AI in insurance always helps enhance customer services and understand their behaviour.
Purpose: This chapter aims to determine the role of AI in the insurance industry in India. The insurance industry is expanding very fast, and to further increase its horizons, the part of the technology of AI is essential. However, this sector has initiated using AI technology and is expanding its scope to benefit the customers.
Methodology: The authors selected research papers of the last five years to review and determine how the technology changed during the period and how an increase in AI benefits the industry and facilitates delivering the best services, and understanding the customer’s needs and behaviour.
Findings: It has been found that the industry is moving very fast and adopting the AI technology methods to enhance customer services, betterment for growing India, and serve insurance services to the nation efficiently.