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Considers two forms of strategic alliances, technological and marketing, and examines how these alliances foster formation and maintenance of intellectual capital. Empirical evidence suggests that on average, strategic alliances do create value for shareholders that is consistent with the creation of intellectual capital. Between the two, technological alliances are potentially more beneficial than marketing alliances, and more likely to create intellectual capital. Empirical evidence is consistent with the notion that the gains from alliances are not shared equally by all the partners. When intellectual capital is created by the smaller or financially weaker partner, the return may be appropriately captured by the owner of such capital through strategic alliances. However, if the intellectual capital is created by the larger or financially stronger firm which moves first in an alliance relationship, the return on this intellectual capital may be subject to opportunistic exploitation by the late moving partner.

Refers to previous research on the accuracy of financial analysts’ earnings forecasts and explores the differences in accuracy for loss making and non‐loss making firms using 1985‐1993 US data. Finds an optimistic bias for both types of firms (smaller for more recent forecasts); which is greater for loss making firms even after controlling for forecast horizon, year of forecast and industry. Considers possible explanations for this finding and consistency with other research.

A number of US firms voluntarily de‐listed their stock from the Tokyo Stock Exchange (TSE) during the years 1977–97. We examine changes in trading volume, return volatility and implicit bid‐ask spreads in the U.S. stock exchange surrounding the de‐listing, and find evidence of an increase both in trading volume and bid‐ask spreads, particularly when the analysis is conditioned upon (a) trading volume on the TSE prior to de‐listing and (b) whether the de‐listing firm had operations in Japan. We also examine the daily stock price movement of the de‐listed firms and find a significantly negative price movement at the time of the de‐listing announcement, and also around the actual date of de‐listing. The results suggest a negative price response reflecting both a temporary information effect and also a more permanent valuation effect. Preliminary tests suggest that the latter is not related to the decrease in liquidity.

Discusses the increasing use of valuation models in accounting and finance research, identifies potential difficulties in the conventional model and develops a simple version (which can deal with negative earnings) of the Edwards, Bell and Ohlson model, estimated from 1987‐1997 UK data. Finds it sensitive to firm size, dividend policy and return on equity; but not to capital structure. Compares consistency with other research and considers the underlying reasons for the results.

This study develops a hypothesis from asset pricing theory and optimization theory that in a diversified portfolio of equity securities there is no linear relationship between equilibrium equity returns and financial reporting variables subject to managerial discretion, only a nonlinear relationship. Alternatively stated, this study presents theory and evidence suggesting that linear conditional mean effects of discretionary financial reporting variables on equity returns for an industry portfolio of firms are zero, while the nonlinear conditional mean effects are nonzero.

Refers to previous research to suggest that US commercial bank managers use discretion to “manage” regulatory capital and that accounting discretion can influence a bank’s investment opportunity set (IOS) and therefore its share price. Challenges the assumption that using accounting discretion to manipulate contracting variables will only result in a redistribution of wealth. Develops a mathematical model based on Feltham and Ohlson (1995) and uses it to explore the bank manager’s optimal investment in risky assets, the constraint on investment choice produced by minimum regulatory capital requirements and how accounting discretion can reduce this. Shows that regulatory requirements do constrain a bank’s IOS but that discretion (e.g. over loan loss provisions) can only mitigate this if dividend and financing policies depend on the discretionary components.

Co-marketing strategies play an important role in enabling firms to improve their competitive position. However, despite its increasing implementation, it remains a topic that is largely not researched. The purpose of this paper is to analyze existing contributions to the field of co-marketing research and the different perspectives scholars have adopted in analyzing the topic.

A literature review has been developed, as its lack seems to be a major hindrance to the development of related studies. A specific focus has been made on the adopted approaches. Five approaches have been identified, and multidimensional scaling (MDS) has been used to analyze the differences among them.

First, the analysis of the typologies of studies on co-marketing alliances is made. Also, the identified approaches are strategic-based, consumer-based, relational-based, specificity-based and evaluation-based. What emerges from the MDS is that there are two perspectives of analysis of the alliance that characterize them: the inside–outside and the wide–narrow points of view.

Limitations are mostly referred to the methodologies and the level of subjectivity they imply. For example, they are not only the choices made concerning keywords to be used and, consequently, the articles included in the analysis, but also the MDS that offers broad autonomy to the researchers in interpreting the data.

The originality of this research is that it fills an emerged gap concerning a literature review on co-marketing alliances, supporting future research in this field of study. The identification of the approaches underlines what may be lacking, providing interesting insights on possible avenues for future research.

The financial system of an economy, especially banking, facilitates efficient allocation of resources from savers to borrowers for productive investments, and thus promotes economic growth. State-wise bank credit in India shows a growing divergence, despite the aim of central planning to reach a degree of convergence in macroeconomic performance over time. This chapter analyzes how diverging bank credit affects macroeconomic performances of the Indian states, through an alternative approach of composite indicators-based rankings of states adopting the methodology of TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) that is used in operations research or more specifically MCDM (multiple criteria decision-making). A composite indicator of the states’ annual macroeconomic performances has been constructed taking indicators of output growth, per capita state domestic product, inflation, and fiscal indicators for years 2006–2018. States are ranked by both macroeconomic performance and bank credit to states, and the correlation between the two indicators, known in the literature to be interlinked,is studied here to understand how the availability of credit or lack of it has influenced State level macroeconomic development in India. The results thus show that wealthier and better performing states continue to attract the larger chunk of bank credit, while weaker states have not been able to catch up. An important policy implication would be to place even more emphasis on higher levels of credit growth for weaker states, particularly infrastructure credit, to achieve a degree of income convergence throughout the Indian economy.

This study aims to numerically analyse the impact of an inclined magnetic field and Joule heating on the conjugate heat transfer because of the mixed convection of an Al₂O₃–water nanofluid in a thick wall enclosure.

A horizontal temperature gradient together with the shear-driven Flow creates the mixed convection inside the enclosure. The nonhomogeneous model, in which the nanoparticles have a slip velocity because of thermophoresis and Brownian diffusion, is adopted in the present study. The thermal performance is evaluated by determining the entropy generation, which includes the contribution because of magnetic field. A control volume method over a staggered grid arrangement is adopted to compute the governing equations.

The Lorentz force created by the applied magnetic field has an adverse effect on the flow and thermal field, and consequently, the heat transfer and entropy generation attenuate because of the presence of magnetic force. The Joule heating enhances the fluid temperature but attenuates the heat transfer. The impact of the magnetic field diminishes as the angle of inclination of the magnetic field is increased, and it manifests as the volume fraction of nanoparticles is increased. Addition of nanoparticles enhances both the heat transfer and entropy generation compared to the clear fluid with enhancement in entropy generation higher than the rate by which the heat transfer augments. The average Bejan number and mixing-cup temperature are evaluated to analyse the thermodynamic characteristics of the nanofluid.

This literature survey suggests that the impact of an inclined magnetic field and Joule heating on conjugate heat transfer based on a two-phase model has not been addressed before. The impact of the relative slip velocity of nanoparticles diminishes as the magnetic field becomes stronger.