Strengthening organizational ambidexterity with top management team mechanisms and processes

Abstract

Organizational ambidexterity is the organizational capability to simultaneously pursue explorative and exploitative innovation strategies. Studies have examined the Top Management Team (TMT) actions and decisions with the ambidextrous orientation of a firm. Further, studies have also shown that a behaviourally integrated TMT is positively associated with organizational ambidexterity. However, there has been limited research examining the antecedents to the behaviourally integrated TMT. Anchored in the upper echelons perspective, we have examined the influence of TMT processes and mechanisms on organizational ambidexterity. The TMT is observed to positively influence ambidexterity by enhancing the firm’s ability to meet the differentiation-integration challenges, and by facilitating the effective deployment of ambidextrous Human Resource (HR) architectures for employee learning. Thereby, this investigation examines the effect of TMT processes and mechanisms in enabling structural as well as contextual ambidexterity. The results from a sample of 78 hi-tech Small and Medium Enterprises (SMEs) across different industries were analysed using partial least squares structural equation modelling. We find the mediating role of TMT behavioural integration in the effect of TMT connectedness and TMT cross-functional interfacing mechanisms on organizational ambidexterity. However, our results show that rewards contingent on organizational performance do not motivate the TMT members to facilitate organizational ambidexterity. The results from this study lend support to the upper echelons perspective and add to two distinct streams of literature namely organizational ambidexterity and behavioural integration.     

Can alert models for fraud protect the elderly clients of a financial institution?

ABSTRACT

Using account-level transaction data at a major financial institution, we predict the incidence of suspicious activity that can be related to the external financial fraud of its elderly clients. The data consists of over 5 million accounts of clients aged 70 years and older, and over 250 million transactions extending from January 2015 to August 2016. Our main focus is to improve the detection of alerts within a proprietorial transaction monitoring system. Using logistic regression, random forest and support vector machine learning techniques, together with corrections for imbalanced alert samples, we provide a new alert model for the protection of elderly clients at a financial institution, with out-of-sample predictive accuracy. Our findings show the relative influence of client traits and account activity in our select external fraud alert models.     

Samuelson Hypothesis & Indian Commodity Derivatives Market

Samuelson (1965) devised that futures price volatility increases as the futures contract approaches its expiration. The relation amid the volatility and time to maturity has significant inference for hedging strategies. Interestingly, so far the empirical evidence in favor of the Samuelson Hypothesis (maturity effect) is mixed in various markets. Considering no significant work to examine the relationship is so far carried out in commodity derivative markets of India, this paper ordeal the Samuelson Hypothesis on 8 commodities traded on Multi-Commodity Exchange (MCX), India. We have examined the issue by applying different regression techniques to test the hypothesis for 8 commodities (Aluminium, Nickel, Copper, Gold, Silver, Natural Gas, Crude Oil and Wheat) using inter-day data on MCX India. In order to test the Samuelson’s hypothesis, tests have been conducted using a series of GARCH, EGARCH and TGARCH models by including trading volume, open interest and time-to-maturity in the conditional variance equation. From our results, it is concluded that Samuelson’s hypothesis does not hold true for majority of commodity contracts considered. Our results also find that volatility series depend on the trading volume, compared to the time-to-maturity or open interest. As Samuelson hypothesis does not hold true for majority of commodity contracts, traders in Indian commodity derivative markets should not bias their decisions solely based on the time-to-maturity, but should also consider trading volume and open interest as they are an important determinant of price volatility. They should also consider the possibility of leverage effect while predicting future price volatilities, and the associated margin requirements.     

Does capital and financing structure have any relevance to the performance of microfinance institutions?

This paper aims to explore the impact of capital and financing structure on the performance of microfinance institutions (MFIs) from an agency theoretic standpoint. GMM and IV estimations with instruments have been performed using a panel dataset of 782 MFIs in 92 countries for the period 2000–2007. Results confirm the agency theoretic claim that an increase in leverage raises profit-efficiency in MFIs. The study also finds that cost efficiency deteriorates with decreasing leverage. Likewise, the negative significant impact of leverage on depth of outreach can also be explained. However, the study finds that capital structure does not have any noticeable impact on breadth of outreach and neither is it significantly related with women’s participation as loan clients.     

Income hedging and portfolio decisions

We examine whether the decision to participate in the stock market and other related portfolio decisions are influenced by income hedging motives. Economic theory predicts that the market participation propensity should increase as the correlation between income growth and stock market returns decreases. Surprisingly, empirical studies find limited support for the income hedging motive. Using a rich, unique Dutch data set and the National Longitudinal Survey of the Youth (NLSY) from the United States, we show that when the income-return correlation is low, individuals exhibit a greater propensity to participate in the market and allocate a larger proportion of their wealth to risky assets. Even when the income risk is high, individuals exhibit a higher propensity to participate in the market when the hedging potential is high. These findings suggest that income hedging is an important determinant of stock market participation and asset allocation decisions.     

Does ownership concentration improve M&A outcomes in emerging markets?: Evidence from India

Using firm level data from India, we examine the impact of ownership concentration on post-M&A performance of firms. Our analysis has implications for both the M&A literature, which emphasises the role of agency conflict between managers and owners of widely held companies as a key reason for M&A failures, and the corporate governance literature, especially in the context of emerging market economies. A cautious interpretation of our results suggests that while ownership concentration may reduce the manager–owner agency conflict, it may nevertheless precipitate other forms of agency conflict such that ownership concentration may not necessarily improve post-M&A performance. In particular, our results have implications for the literature on the agency conflict between large (or majority) shareholders and small (or minority) shareholders of a company, especially in contexts such as emerging market economies where corporate governance quality is weak.     

Do market capitalization and stocks traded converge? New global evidence

In this paper, we examine convergence of stock markets. Our empirical exercise is based on 11 different panels, which together consist of 120 countries. The richness of the dataset allows us to disaggregate countries into panels, such as high income, middle income, low income, OECD, CSI, and developing country panels. In addition, we construct regional panels, such as those representing the Arab States, East Asia and the Pacific, South Asia, Latin America and the Caribbean, and Sub-Saharan Africa. Our main finding is that, based on the conditional convergence model, convergence of stock market capitalization and stocks traded is found for four panels, namely the high and low-income panels, the OECD panel, and the Sub-Saharan African panel. The speed of convergence is high, in most cases between 20% and 30%.     

Economic Growth And Productivity Gains From Capital Inflow: A Reply

Journal of Quantitative Economics -