Building relationship innovation in global collaborative partnerships: big data analytics and traditional organizational powers

This study examines how relationship innovation can be developed in global collaborative partnerships (alliances, joint ventures, mergers, and acquisitions). The recently emerging theory of big data analytics linked with traditional organizational powers has attracted a growing interest, but surprisingly little research has been devoted to this important and complex topic. Therefore, after developing the theoretical foundations, our study empirically quantifies the links between the theoretical constructs based on the data collected from chief executive officers, managing directors, and heads of departments who work in contemporary global data‐and‐information driven collaborative partnerships. The results from structural equation modeling indicate that the relationship innovation depends on the power of big data analytics and non‐mediated powers (NMP, expert and referent). The power of big data analytics also mediates the correlation between NMP and relationship innovation. However, mediated powers (coercive and manipulative) negatively affect the power of big data analytics and relationship innovation. The interaction effects further depict that analytically powered partnerships have better relationship innovation compared with those which focus less on the analytical power. Consequently, the contributions of this study provide a deeper understanding of mechanisms of how modern collaborative partnerships can use big data analytics and traditional organizational powers to co‐create relationship innovation.     

Balancing social and political strategies in emerging markets: Evidence from India

This article explores the substitution and complementary effects between political and social strategies on firm performance in the context of an emerging market (EM). Using in‐depth, historical case‐study approach, the article investigates how companies integrate political and social resources in this market. Corporate performance includes traditional measures, such as accounting performance and nonfinancial measures like the ease of doing business. The study finds that social strategies are stronger enablers of firm long‐term performance than political strategies. The latter have a short‐term impact on performance, but their success over time is limited. The main drawback of reliance on political resources in EMs is the lack of political stability, fragmented polity, and weak political coalitions. We identify rather limited evidence of firms using these two strategies as complements. Thus, we suggest that firms should employ both these strategies in the EM.     

CAN INEFFICIENT TRADERS CREATE VALUE?

I examine the aggregate expected profit generated by informed traders of diverse ability in a competitive market. I assume that efficient traders get perfect information on asset values whereas inefficient traders get noisy information. In the presence of order size restrictions, I show that the aggregate expected profit generated by efficient and inefficient traders together can be higher than that generated by efficient traders alone. Thus, inefficient traders can create value in a constrained trading environment.     

Who Herds? Who Doesn't? Estimates of Analysts’ Herding Propensity in Forecasting Earnings

We develop parametric estimates of the imitation‐driven herding propensity of analysts and their earnings forecasts. By invoking rational expectations, we solve an explicit analyst optimization problem and estimate herding propensity using two measures: First, we estimate analysts’ posterior beliefs using actual earnings plus a realization drawn from a mean‐zero normal distribution. Second, we estimate herding propensity without seeding a random error, and allow for nonorthogonal information signals. In doing so, we avoid using the analyst's prior forecast as the proxy for his posterior beliefs, which is a traditional criticism in the literature. We find that more than 60 percent of analysts herd toward the prevailing consensus, and herding propensity is associated with various economic factors. We also validate our herding propensity measure by confirming its predictive power in explaining the cross‐sectional variation in analysts’ out‐of‐sample herding behavior and forecast accuracy. Finally, we find that forecasts adjusted for analysts’ herding propensity are less biased than the raw forecasts. This adjustment formula can help researchers and investors obtain better proxies for analysts’ unbiased earnings forecasts.     

Examining bank SEOs: Are offers made by undercapitalized banks different?

Despite extensive monitoring, banking operations are often considered opaque, and despite explicit capital adequacy regulation, banks may have substantial discretion in their financing. Both monitoring and capital regulation have changed substantially over time, with the adoption of FDICIA being one important breakpoint. This article empirically studies seasoned equity offerings (SEOs) by banks to understand how opacity and capital regulation interact to determine the timing of bank SEOs and their market valuation. SEOs both by banks that are undercapitalized relative to regulatory standards and also well-capitalized banks are fully discretionary when it comes to SEOs, even before FDICIA. Both undercapitalized and well-capitalized banks experience similar and significantly negative stock price reactions to SEO announcements, and also have similar prior patterns of insider trading and similar economic drivers of the issuance decision. Moreover, post-SEO abnormal stock returns are similar to benchmark returns for both types of issuers in the long run, suggesting that, contrary to the well-documented evidence for industrial SEOs, investors understand the value implications of bank SEOs upon announcement. The evidence implies that undercapitalized banks' SEOs are more discretionary and that all bank SEOs are less opaque than implied by earlier studies.     

Supplier Selection Practices among Small Firms in the United States: Testing Three Models

One of the issues investigated in recent studies on small business enterprises involves the role of supply chain management. Supply chain management has become an important part of strategic planning in both large and small businesses in the 1990s as firms increasingly choose outsourcingas an externally-driven strategic growth path. This study examines the supplier selection practices among 78 small business executives in the midwest United States by testing three models: rational/normative, external control, and strategic choice. Although the results show support for all three models, the rational/normative model emerges as the most significant model for predicting the supplier selection practices of small firms.     

Predicting credit spreads

Predictions of firm-level credit spreads based on the current spot and forward credit spreads can be significantly improved upon by using the information contained in the shape of the credit-spread curve. However, the current credit-spread curve is not a sufficient statistic for predicting future out-of-sample credit spreads; predictions can be significantly improved upon by exploiting the information contained in the shape of the riskless yield curve. In the presence of credit-spread and riskless factors, other macroeconomic, marketwide, and firm-specific risk variables do not significantly improve predictions of credit spreads. These results have important implications for credit-spreads modeling as well as for better understanding corporate capital structure and risk management policies.     

Are non‐audit services associated with firm value? Evidence from financial information system‐related services

The purchase of non‐audit services from incumbent auditors has generated considerable attention. Surprisingly, limited empirical evidence exists on the association of non‐audit services with firm value. Focusing on services related to financial information system (FIS), we find that the market value of equity is greater for firms that purchase FIS‐related services from their incumbent auditors relative to firms that do not. The levels of FIS fees are also positively related to firm value after controlling for total other fees, or total other non‐audit fees. Hence, despite the negative perception associated with non‐audit services, investors regard FIS‐related services as value‐adding activities.