BUYERS,SELLERS, AND MIDDLEMEN: VARIATIONS ON SEARCH‐THEORETIC THEMES

We study exchange that is bilateral but indirect—it involves chains of intermediaries, or middlemen—in markets with frictions. These frictions include search and bargaining problems. We show how, and how many, intermediaries might get involved in a chain, and how bargaining with one depends on upcoming negotiations with those downstream. The roles of buyers, sellers, money, and prices are discussed, allowing us to clarify some neglected connections between different branches of search theory. Pursuing one such connection, with monetary economics, we show how bubbles can emerge in intermediation, even with fully rational agents and perfect foresight.     

Mining Sector Currency Risk Management Strategies: Responses to Foreign Currency Accounting Regulation

This study investigates the impact of Approved Accounting Standard ASRB 1012, Foreign Currency Translation, on the currency risk management strategies of firms in the Australian mining industry. ASRB 1012 increased the responsiveness of most mining companies' reported earnings to exchange rate movements, and it was predicted that firms would alter their capital structures in response to the increased accounting exposure. The results suggest that mining companies decreased their proportionate levels of long-term foreign debt and increased their share capital and/or reserves to mitigate the effects of the standard on their contracts. This information is useful to standard-setters seeking an awareness of the potential micro and macro-economic effects of their pronouncements.     

A Bayesian framework for combining valuation estimates

Discounted cash flow, method of comparables, and fundamental analysis typically yield discrepant valuation estimates. Moreover, the valuation estimates typically disagree with market price. Can one form a superior valuation estimate by averaging over the individual estimates, including market price? This article suggests a Bayesian framework for combining two or more estimates into a superior valuation estimate. The framework justifies the common practice of averaging over several estimates to arrive at a final point estimate.     

Cointegration Analysis of Audit Pricing Model: A Panel Unit Root Test Approach

In this study, we provide evidence on the stationarity of real audit fees and the major explanatory variables frequently used in the audit pricing models from a pooled data set, using panel unit root tests developed by Im et al. (1997). The panel unit root test supports the hypothesis of non‐stationarity of audit fees and their major determinants. We demonstrate that variables in the audit pricing model that were previously found to have impact on audit fees may turn out to be useless when more powerful tests like panel tests are applied to these variables. Our evidence implies that failing to employ appropriate procedure to test cointegration and to specify the appropriate model for audit fees and their determinants would generate results that may have exaggerated the effects of some variables on audit fees.     

Cost-effectiveness of foreign aid programs in the baltics

After the upheavals in Central and Eastern Europe in the late 1980s and early 1990s, the Western world has given considerable aid to the fledgling democracies. In this paper we draw a summary from Baltic experience in the fields of educational programs, scientific and environmental programs, and commercial projects in banking, taxation, and energy. We analyze the motivation and identify different possible effects of foreign aid. We signal possible inefficiencies arising from the lack of coordination of foreign aid, deal with possible waste as being a form of loss in cost-effectiveness, and address the policies followed by aid-providing agencies. Finally, we suggest ways that can help to achieve cost-effectiveness by assisting the donor and recipient in maximizing benefits gained and possibly reducing costs.     

Target‐Setting,Pay for Performance,and Quality Improvement: A Case Study of Ontario Hospitals’ Quality‐Improvement Plans

This study examines whether difficult targets and quality indicators in executives' pay‐for‐performance (P4P) plans affect performance. The impact of target‐setting and P4P plans on quality improvement in the public sector is unclear. The Ontario government initiated the Quality Improvement Plan (QIP), which requires hospitals to set targets for quality indicators annually and link executive pay to target achievement since 2011. Analyzing Health Quality Ontario's database and hospitals' 2012–2013 QIPs, this study shows greater quality improvement in hospitals with difficult targets than hospitals with easy targets or without assigned targets; however, the positive impact disappears for high‐performance hospitals relative to their peers. We find no significant effect of the use of quality indicators in executives' P4P plans on quality improvement. Copyright © 2018 ASAC. Published by John Wiley & Sons, Ltd.     

Network patterns and competitive advantage before the emergence of a dominant design

This study examines the performance implications of the alliance networks of 49 firms that competed for two technology standards in the U.S. local area network industry from 1989 to 1996. During the race to define a dominant design, individual firms attract the suppliers of complements by building alliance networks to favor the firms' preferred technology standard. Controlling for the number of suppliers in each technology standard community and the extent of technical progress achieved by individual firms, the panel data analysis shows that central firms with high ego network density, coupled with a strategic intent to acquire and share knowledge broadly within the technological community, achieve better innovation performance. The size of the technological community and some random events in the early formation of the industry do not provide a sufficient explanation of how these firms gain the diverse support of suppliers or enhance their competitive advantage. By demonstrating the independent and contingent effects of alliance network properties, this study explains how network patterns might enhance or limit the benefits of alliance networks when focal firms embrace different innovation strategies. Copyright © 2009 John Wiley & Sons, Ltd.     

Performance effects of category assortment and stock allocation decisions for a cash-and-carry wholesaler

This study develops and tests a model of how category assortment, category stock level and within-category stock allocation decisions might affect category sales and stock turnover and reflect category-varying levels of sales heterogeneity and sales volatility. In doing so, it addresses recent calls to consider multiple dimensions of assortment planning. It uses the cash-and-carry wholesaling setting to isolate non-space-related assortment planning and performance variables otherwise difficult to treat in a conventional retailing (e.g. supermarket) context. It develops a structural equation model of how category sales volatility and heterogeneity, as antecedents, might influence both category assortments and stock allocations and thus, in turn, influence category performance.