An examination of the effects of management earnings forecast form and explanations on financial analyst forecast revisions

Using a sample of 978 quarterly management earnings-per-share forecasts made during the period 1993 to 1999, we document that financial analyst revisions to management earnings forecasts are a function of management forecast form. More precise forecasts (measured three different ways) lead to greater revision of financial analyst consensus EPS forecasts for a given level of unexpected earnings as predicted by Kim and Verrecchia (1991) and Bayesian adjustment models. Also, consistent with our arguments, maximum forecasts are interpreted as bad news by analysts. Our results, while consistent with theory, are inconsistent with recent experimental studies which do not reject the null hypothesis of no effect of management earnings forecast form on the association between unexpected earnings and financial analyst forecast revisions. We also re-examine Baginski, Hassell, and Kimbrough's (2004) finding that attributions used to explain management forecasts affect the reaction to the forecast using analyst data. Consistent with their findings using stock prices, the attribution presence (especially external attributions) increases financial analyst revisions pursuant to management forecasts.     

The value of relational learning in global buyer‐supplier exchanges: a dyadic perspective and test of the pie‐sharing premise

Research in collaborative interorganizational relationships has typically focused on the value of these relationships to a specific supply chain partner. Furthermore, the phenomenon has rarely been explored in a global setting. Using primary data from 126 cross‐border dyads, we investigate the influence of relational learning on the relationship performance of both the buyer and the supplier, testing the contention that both members (1) benefit from relational learning efforts and (2) enjoy equal pieces of the benefits pie. We find that three specific types of relational learning (information sharing, joint sensemaking, and knowledge integration) influence relationship performance, and that these dimensions of relational learning affect supply chain partners in different ways. We draw conclusions regarding the relative value of relational learning for both buyers and suppliers. Copyright © 2011 John Wiley & Sons, Ltd.     

The role of renqing in mediating customer relationship investment and relationship commitment in China

There is a growing research interest in guanxi marketing, which has been considered the Chinese version of relationship marketing. However, very little empirical research has investigated the implicit nature of renqing, the underlying mechanism that explains the cultivation and maintenance of guanxi. This study examines the role of renqing in mediating customer relationship investment and relationship commitment in the insurance industry. The authors surveyed 245 car insurance policyholders in China. The findings confirm the mediating role of renqing in such relationships and show that renqing explains a very high proportion of the variance in levels of customer relationship commitment. This result offers valuable insights and suggestions as to how to increase levels of customer relationship commitment in China.     

Supply network capacity planning for semiconductor manufacturing with uncertain demand and correlation in demand considerations

A semiconductor supply network involves many expensive steps, which have to be executed to serve global markets. The complexity of global capacity planning combined with the large capital expenditures to increase factory capacity makes it important to incorporate optimization methodologies for cost reduction and long-term planning. The typical view of a semiconductor supply network consists of layers for wafer fab, sort, assembly, test and demand centers. We present a two-stage stochastic integer-programming formulation to model a semiconductor supply network. The model makes strategic capacity decisions, (i.e., build factories or outsource) while accounting for the uncertainties in demand for multiple products. We use the model not only to analyze how variability in demand affects the make/buy decisions but also to investigate how the correlation between demands of different products affects these strategic decisions. Finally, we demonstrate the value of incorporating demand uncertainty into a decision-making scheme.     

Developmental approaches to B2B virtual communities

This paper analyses the development approaches of four business-to-business (B2B) virtual communities (VCs) and compares them through use of a cross-case analysis. The study indicated that there is no “one size fits all” method for developing VCs and that a structured, rigorous development methodology based on academic research is required in order to successfully create and manage VCs. It also found that the main challenge in creating successful VCs is not that of developing them, but that of developing an engagement and contribution culture.     

Endogenous Games and Mechanisms: Side Payments Among Players

We characterize the outcomes of games when players may make binding offers of strategy contingent side payments before the game is played. This does not always lead to efficient outcomes, despite complete information and costless contracting. The characterizations are illustrated in a series of examples, including voluntary contribution public good games, Cournot and Bertrand oligopoly, principal–agent problems, and commons games, among others.     

Capital–Skill Complementarity and Inequality in Sweden

Income inequality increased in Sweden during the 1980s and 1990s, as did the returns to higher education. The main conclusion of this study is that increased income inequality between high‐ and low‐skilled workers is demand driven and is due to the presence of capital–skill complementarity in production. Increased investments in new, more efficient capital equipment, along with a slowdown in the growth rate of skilled labor, have raised the ratio of effective capital inputs per skilled worker, which, in turn, has increased the relative demand (and market return) for skilled labor through the capital–skill complementarity mechanism.     

TO TAX OR NOT TO TAX? THE CASE OF ELECTRONIC COMMERCE

Despite the intensifying debate over the taxation of Internet commerce, the relevant issues have not been given a systematic treatment in the context of the literature on optimal taxation. This article presents such an analysis and investigates separately the taxation of business purchases of intermediate goods, the taxation of consumer purchases of final goods and services, and the various issues of administration and compliance costs as they apply to the development of E-commerce. The authors conclude that generally the optimal tax literature cannot be used in support of a blanket tax exemption for Internet purchases. Certain conditions could lead to the optimality of an exemption, but those conditions are not likely to be met in practice.