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In this paper, the authors emphasize that COVID-19 pandemic is a serious pandemic as it continues to cause deaths and long-term health effects, followed by the most prolonged crisis in the 21st century and has disrupted supply chains globally. This study questions “can technological inputs such as big data analytics help to restore strength and resilience to supply chains post COVID-19 pandemic?”; toward which authors identified risks associated with purchasing and supply chain management by using a hypothetical model to achieve supply chain resilience through big data analytics.

The hypothetical model is tested by using the partial least squares structural equation modeling (PLS-SEM) technique on the primary data collected from the manufacturing industries.

It is found that big data analytics tools can be used to help to restore and to increase resilience to supply chains. Internal risk management capabilities were developed during the COVID-19 pandemic that increased the company's external risk management capabilities.

The findings provide valuable insights in ways to achieve improved competitive advantage and to build internal and external capabilities and competencies for developing more resilient and viable supply chains.

To the best of authors' knowledge, the model is unique and this work advances literature on supply chain resilience.

President Trump's tenure was accompanied by a series of protectionist measures that intended to reinvigorate US-based production and make manufacturing supply chains more “local”. Amidst these increasing institutional pressures to localise, and the business uncertainty that ensued, this study investigates the extent to which manufacturers reconfigured their supply bases.

Bloomberg's Supply Chain Function (SPLC) is used to manually extract data about the direct suppliers of 30 of the largest American manufacturers in terms of market capitalisation. Overall, the raw data comprise 20,100 quantified buyer–supplier relationships that span seven years (2014–2020). The supply base dimensions of spatial complexity, spend concentration and buyer dependence are operationalised by applying appropriate aggregation functions on the raw data. The final dataset is a firm-year panel that is analysed using a random effect (RE) modelling approach and the conditional means of the three dimensions are plotted over time.

Over the studied timeframe, American manufacturers progressively reduced the spatial complexity of their supply bases and concentrated their purchase spend to fewer suppliers. Contrary to the aims of governmental policies, American manufacturers increased their dependence on foreign suppliers and reduced their dependence on local ones.

The research provides insights into the dynamics of manufacturing supply chains as they adapt to shifting institutional demands.

Prior studies suggest that, in an industry in which several public firms operate (i.e. greater public firm presence), uncertainty about business operations within the industry is reduced due to greater analyst coverage and quality of information disclosure. In this study, the authors examine how UK private firms respond to investment opportunities in fixed intangible assets (FIAs) in an environment characterised by greater public firm presence (PFP).

Using data from 61,278 (1,358) private (public) UK firms operating in ten sectors spanning from 2006 to 2016, the authors conduct this analysis by using panel econometric techniques.

The authors observe that private firms are more responsive to their FIA investment opportunities when they operate in industries with more PFP. Also, the authors find that firms in industries with better information quality use more debt and have longer debt maturity security but less internal cash flow. Overall, the findings indicate that PFP generates positive externalities for private firms by lessening industry uncertainty and enhancing more efficient FIA investment. The results are robust to endogeneity concerns.

A key limitation of the study is that it focuses on a single country (the UK) and therefore there is a likelihood that the results found are specific to this setting but not others, particularly developing and emerging economies. Thus, future studies could explore these ideas from the viewpoint of multiple countries.

Overall, the study demonstrates the importance of information disclosure in driving investment decisions of firms.

While this paper builds on the information disclosure and corporate investment literature, it is one of the first attempts, to the best of the authors’ knowledge, to explore how private UK firms respond to investment in FIAs in an environment characterised by greater PFP.

Mohammad Azharuddin's arrival in professional cricket served, to quote Karl Marx, as a reform of consciousness that awakened the sport ‘from its dream about itself’. His expertise with the bat invoked the wide expanse of human sensorium, provoking reactions of shock and admiration among observers. In this chapter, I examine Azharuddin's life in cricket and public through a dialectical probing of the relationship between shock and aesthetics. Azhar and cricket appear as a productive terrain to carry out the analysis, as it pushes the possibility of what or who can be considered as a valid subject for theoretical scrutiny. Taking cues from Walter Benjamin and CLR James, I theorise the shock effects created by a cricketer most unusual. From his wristy wizardry with the bat to his appointment as captain of the Indian men's cricket team during the rise of Hindu nationalism in the country, Azharuddin's presence and popularity extended beyond the boundaries that are often imposed on a sportsperson. Through his involvement in the match-fixing scandal that was exposed at the turn of the 21st century, Azhar (the name by which he was popularly known) challenged the mores of a game that had emphasised Victorian notions of purity on and off the field. For the purposes of this chapter, I discuss how Azhar constructed a bodily discourse that pushes us to reassess our very notions of art and aesthetics.

The purpose of the study is to investigate the impact of asset redeployability on the level of corporate cash holdings.

The authors use regression analysis to examine the relation between asset redeployability and corporate cash holdings.

Using a large panel sample of US public firms from 1990 to 2020, the authors find a significant positive relation between asset redeployability and cash, which suggests that firms with more redeployable assets hold more cash.

The authors contribute to a growing literature in accounting and finance that investigates the impact of asset redeployability on firm characteristics and also contribute to the literature on the determinants of cash holdings.

Life insurance is bought with a prior belief that promise stipulated in policy will be honored when due. Discernibly, this belief is backed by the confidence that financial markets and economy will demonstrate satisfactory performance. However, individuals' confidence levels may get shaken through naïve reinforcement learning if they witness negative market or economic condition. Considering this the authors investigate the relationship between investor confidence and life insurance demand.

The authors used bias corrected bootstrapped sample of OECD economies to examine the link between investor confidence and life insurance demand when two possible economic conditions were witnessed: 1) normal/economic expansion and 2) economic/debt impairment. The findings are robust to alternate estimation techniques and endogeneity.

The authors found that lower investor confidence, sovereign debt impairment and negative market condition will have negative repercussion on life insurance demand. On the other hand, investor confidence-life insurance demand nexus is merely influenced by market and economic condition.

This is a premier research explaining the nexus between investor confidence and life insurance demand in the context of life-cycle hypothesis, sovereign ratings channel and experience-confidence-belief framework. The finding will help economic policy-makers in developing pre-emptive measures to protect life insurance businesses from negative repercussions of lower confidence and negative market conditions.