Working capital (mis)management – impact of executive age

Several recent studies have used the upper echelons theory to explain the impact of personal traits of top executives on various corporate policies. In this, first of its kind, study we find that older executives invest more in working capital; take longer to convert inventories to cash; and pay their suppliers sooner. These findings are consistent with the argument that risk aversion increases with executive age. Our findings indicate that executive age has significant bearing on working capital management policies. This study also initiates new avenues in research relating behavioral aspect of executives with short‐term financial management.     

Determinants and Forecast of Price Level in India: a VAR Framework

The theoretical association of money supply and exchange rates with prices has been empirically established and shown to be dominant in explaining changes in price levels in India. However, post liberalisation, studies have shown price levels to be impacted by several other factors as also, weakened influence of the traditional factors established by theories. This study aims to find the determinants of price level for the period 1994–2008 using a Vector Autoregression model and test the predictive ability of the model. Our results show shorter and smaller impact of change in money supply and nominal effective exchange rate on price levels. Both money supply and nominal effective exchange rates are found to Granger-cause Consumer Price Index. But, impulse response functions show that the impact of shocks from money supply and nominal effective exchange rates on consumer prices peaks after two lags and is short-lived. Forecast error variance decomposition shows that these demand side factors contribute only 6 % of the forecast error variation in Consumer Price Index.

     

Diversification of infrastructure projects for emergent and unknown non‐systematic risks

Allocating resources to competing large‐scale infrastructure projects involves multiple objectives. Traditional decision‐aiding methodologies focus on the trade‐offs among performance and resource objectives. Existing methodologies may fail to account for unknown and emergent risks that are typical of large‐scale infrastructure investment allocation problems. In modern portfolio theory, it is well known that a diversified portfolio can be very effective to reduce non‐systematic risks. The approach of diversification is equally important in choosing robust portfolios of infrastructure projects that may be subject to emergent and unknown risks. In this paper, we demonstrate a methodology to analyze and compare the diversification of portfolios of large‐scale infrastructure projects. We classify and explore several metrics of diversification and integrate them with risk and other performance objectives in a multiobjective approach. We test the new metrics and the methodology in a case study of hundreds of millions of dollars of infrastructure investments. The results suggest that the solutions that consider diversification are more robust to emergent risks, thus, identifying an opportunity to incorporate diversification‐based optimization methodologies to support a variety of problems involving large‐scale infrastructure investments.     

Social media influencers and consumer engagement: A review and future research agenda

The rise of social media influencers (SMIs) in the recent decade garnered wide interest from academicians and marketers. Academicians try to understand the effect of influencers on consumer behaviour, while marketers use influencers as part of their strategy to achieve marketing objectives. Although, plenty of practical and conceptual research is available in this area, literature reviews in the domain of SMIs and consumer engagement are scarce as it is still developing, and most of the studies have focused on these two concepts separately. In this study, the authors attempted to combine and understand how social media influencers affect consumers engagement. This systematic review of the literature offers a comprehensive view of previous research on social media influencers and consumer engagement. The study reviewed articles published in the Australian Business Deans Council (ABDC), Scopus, and Web of Science indexed journals till 5 June 2021. To understand consumers' engagement with SMIs, authors identified and theorized the antecedents, decision and outcome of such engagement. It also discusses the influencer-follower parasocial relationship on different social media platforms. The study proposes an integrated conceptual framework that can be further used to test and validate the impact of social media influencer's marketing efforts on consumer engagement. This framework also may serve as a foundation for marketers to develop effective influencer strategies for brand promotions. The review concludes the discussion by highlighting theories, methodology, and context of studies conducted by past researchers.