Vertical integration,innovation, and alliance portfolio size: Implications for firm performance

We examine the consequences of alliance portfolio configuration by focusing on contingencies that affect the impact of alliance portfolio size on innovation and financial performance. While increasing alliance portfolio size is expected to positively impact innovation and financial performance, we propose that, at high levels of innovation of the focal firm, increasing alliance portfolio size dampens financial performance. We also propose that firm boundaries moderate the impact of alliance portfolio size on innovation and financial performance differently. Specifically, vertically integrated firms benefit less (more) than their vertically specialized counterparts in leveraging higher innovation (financial) performance with increasing alliance portfolio size. Our analysis suggests that both vertical scope and innovation levels of the firm play an important role in understanding how alliance portfolios impact performance. Copyright © 2013 John Wiley & Sons, Ltd.     

Modelling the dynamics of Bitcoin and Litecoin: GARCH versus stochastic volatility models

We examine and compare a large number of generalized autoregressive conditional heteroskedastic (GARCH) and stochastic volatility (SV) models using series of Bitcoin and Litecoin price returns to assess the model fit for dynamics of these cryptocurrency price returns series. The various models examined include the standard GARCH(1,1) and SV with an AR(1) log-volatility process, as well as more flexible models with jumps, volatility in mean, leverage effects, t-distributed and moving average innovations. We report that the best model for Bitcoin is SV-t while it is GARCH-t for Litecoin. Overall, the t-class of models performs better than other classes for both cryptocurrencies. For Bitcoin, the SV models consistently outperform the GARCH models and the same holds true for Litecoin in most cases. Finally, the comparison of GARCH models with GARCH-GJR models reveals that the leverage effect is not significant for cryptocurrencies, suggesting that these do not behave like stock prices.     

Efficiency and Market Power Gains in Bank Megamergers: Evidence from Value Line Forecasts

This paper examines whether gains in bank megamergers occur due to efficiency improvements or the exercise of market power using financial statement line item forecasts from Value Line to infer the effect of the merger on prices and quantities. The average megamerger is associated with cost‐efficiency improvements. In the cross‐section, efficiency gains are limited to market expansion mergers while market overlap mergers and Too‐Big‐To‐Fail (TBTF) mergers exhibit monopoly gains. Efficiency gains dissipate when the resulting megabank size exceeds $150 billion in assets or 1.5% of gross domestic product indicating that banks thought to be TBTF are likely to be “Too‐Big‐To‐Be‐Efficient.”     

The state of research on technological uncertainties, social uncertainties and emerging markets: A multidisciplinary literature review

The objective of this research work is to study the progress of research on technological uncertainties, social uncertainties and emerging markets and outline and identify the key disciplines, journals, articles and authors. For this the author studied the existing literature from the various fields in which technological uncertainties, social uncertainties and emerging markets research work have been published using ISI Web of Knowledge database. The paper finds that there is increasing research work on technological uncertainties, social uncertainties and emerging markets and the bibliographical search resulted in ninety-one documents written by one-hundred-sixty-one authors in eighty-four journals in seventy-two disciplines. The five major disciplines and their underlying journals are business and economics, agriculture, psychology, public administration, and environmental sciences and ecology accounting for majority of publications. In journals the most prolific, measured by number of articles published are Harvard Business Review, Social Science and Medicine, World Development, and Higher Education; and most influential, measured by the global citation received, are Harvard Business Review, Social Science and Medicine and Sociological Review. The top 10% of the journals are responsible for 23% of all publications but 85% of all global citations received. This highlights that despite the high, diverse and increasing number of journals; only few are dominating and shaping the research arena of technological uncertainties, social uncertainties and emerging markets. Further, in the ten most cited articles, no author appears more than once.     

The Impact of Fundamentals on IPO Valuation

We examine how initial public offering (IPO) valuation has changed over time by focusing on three time periods: 1986-1990, January 1997 to March 2000 (designated as the boom period), and April 2000 to December 2001 (designated as the crash period). Using a sample of 1,655 IPOs, we find that firms with more negative earnings have higher valuations than do firms with less negative earnings and firms with more positive earnings have higher valuations than firms with less positive earnings. Our results suggest that negative earnings are a proxy for growth opportunities for Internet firms and that such growth options are a significant component of IPO firm value.     

Disaggregated data and trade policy analysis: The value of linking partial and general equilibrium models

Computable General Equilibrium (CGE) models are now routinely utilized for the evaluation of trade policy reforms, yet they are typically quite highly aggregated, which limits their usefulness to trade negotiators who are often interested in impacts at the tariff line. On the other hand, Partial Equilibrium (PE) models, which are typically used for analysis at disaggregate levels, deprive the researcher of the benefits of an economy-wide analysis, which is required to examine the overall impact of broad-based trade policy reforms. Therefore, a PE–GE, nested modeling framework has the prospect of offering an ideal tool for trade policy analysis. In this paper, we develop a PE model that captures international trade, domestic consumption and output, using Constant Elasticity of Transformation (CET) and Constant Elasticity of Substitution (CES) structures, market clearing conditions and price linkages, nested within the standard GTAP model. In particular, we extend the welfare decomposition of Huff and Hertel (2001) to this PE–GE model in order to contrast the sources of welfare gain in PE and GE analyses. To illustrate the usefulness of this model, we examine the contentious issue of tariff liberalization in the Indian auto sector, using PE, GE and PE–GE models. Both the PE and PE–GE models show that the imports of motorcycles and automobiles change drastically with both unilateral and bilateral tariff liberalization by India, but the PE model does a poor job predicting the overall size and price level in the industry, post-liberalization. On the other hand, the GE model overestimates substitution between regional suppliers due to “false competition” and underestimates the welfare gain, due to the problem of tariff averaging in the aggregated model. These findings are shown to be robust to wide variation in model parameters. We conclude that the linked model is superior to both the GE and PE counterparts.     

Factors influencing the adoption of ICT tools in Kerala marine fisheries sector: an analytic hierarchy process approach

Adoption of a new ICT tool in the fisheries sector depends on several factors such as ease of use, affordable cost, information, and time. All these factors determine the preference of an existing tool over others for productivity enhancement. Which ICT tool is more beneficial than others is a continuing debate among researchers. However, the literature currently lacks detailed studies of fishermen criteria for selecting the best ICT tools in the marine fisheries sector. This paper is based on a framework which explains the factors influencing the adoption of ICT tools for the better fish catch, with the help of a multi-criteria decision making approach, called Analytic Hierarchy Process. Also, in the study we have compared the results of analysis using AHP with popular method TOPSIS and the obtained results were validated. The Study also assesses scientifically, which is the most important ICT tool for fishing through a case study in Northern and Southern parts of Kerala, a state in the southern India. The Study finds that Global Positioning System (GPS) is the most beneficial and important ICT tool in marine fishing. In contrast to the earlier studies, the results show that wireless set is important than other tools like mobile phone and echo-sounder for multi-day fishing. The cost-benefit analysis also supports findings of the study.     

Temporary stabilization with capital controls

This paper studies both positive and normative aspects of quantity-based capital controls in a small open economy undergoing a temporary inflation stabilization plan. In the model, capital controls are implemented by choosing two policy variables: a ceiling on the private sector debt and a terminal date for removing controls; the date on which controls trigger and hence its duration are endogenously determined. Equilibrium dynamics are characterized for all feasible range of debt ceilings and durations. Temporary controls that end with the collapse of the stabilization plan are shown to mitigate consumption boom-bust cycles and dominate allocations under perfect capital mobility, thus providing a “second-best” rationale for employing them. For controls that are prolonged beyond the collapse of the stabilization plan, equilibria exist even when the debt ceiling is above the debt that accumulates under perfect capital mobility. Here, if the ceiling is sufficiently low, controls mitigate consumption cycles. Conversely, a sufficiently high ceiling amplifies consumption cycles. For prolonged controls, there is a critical value of debt ceiling below (above) which the welfare is higher (lower) relative to the perfect capital mobility case. Finally, for a given debt ceiling, prolonged controls rank lower in welfare than those that end with the stabilization plan. We would like to thank two anonymous referees and the editor whose suggestions have helped us improve the paper substantially. The usual disclaimer applies.     

Technology sourcing and outward FDI: A study of IT industry in India

Dunning’s eclectic or the OLI framework suggests that MNCs exist and grow due to possession of ownership (O) advantages consisting of the tangible and intangible assets of the firm (including technology); location (L) advantages consisting of production factors such as transportation, infrastructure, and human and natural resources available in the host country; and internalisation (I) advantages owing to firm’s competitive advantage in producing internally rather than selling or licensing technologies to others. There are several studies that have analysed MNCs of developed country origin from the perspective of both developed (home) and other developed or developing (host) countries. Recently, however, MNCs from developing countries are also making their presence felt in the world. Yet, there are hardly any studies that analyse MNCs of developing country origin.Using data on 130 firms from the high-tech Information Technology (IT) industry of India, we investigate whether ownership advantages (O), as proposed in the eclectic theory, holds true for the presence of MNCs from developing countries. Specifically, we analyse whether firm-specific technological advantages generated through differential technology sourcing at home (India) are important in determining inter-firm differences in the decision to invest abroad. The technological sources considered are in-house R&D efforts, import of designs, drawing and blueprints, and import of capital goods. The study reveals that in-house R&D efforts are indeed important for the firms to invest abroad. Size and export intensity of the firm also influence the decision of the firm to invest abroad. The study recommends a proper innovation and resource management strategy for developing country firms for efficient allocation of resources, technology sourcing, and technology assimilation.     

Interpartner Legitimacy in the Alliance Development Process*

abstract We propose a framework to understand interpartner legitimacy in strategic alliances. Interpartner legitimacy is the mutual acknowledgment by the alliance partners that their actions are proper in the developmental processes of the alliance. We argue that interpartner legitimacy is needed for cooperation to achieve alliance objectives. We propose three types of interpartner legitimacy – pragmatic, moral, and cognitive legitimacy – and discuss the dynamics of these three types in the formation, operation, and outcome stages of alliance development. Further, we discuss the salience of interpartner legitimacy in different alliance types. Finally, we derive propositions for further research, and discuss strategies that alliance managers can adopt to develop interpartner legitimacy.