Developing a tutoring module for presentation of computerized patient management problems

The simulation problem is one of the most commonly used formats in computer-assisted instruction (CAI). In medical education, a patient simulation problem is known as a patient management problem (PMP). A number of computerized PMP systems are currently available. However, to date, there is no record of PMP systems having been developed using artificial intelligence. This is noteworthy since artificial intelligence techniques could help in the generation of more effective and intelligent instructional systems.

This paper analyzes and evaluates existing instructional simulation software in clinical medicine in terms of effective educational design attributes. Components of effective PMP systems thus identified are incorporated into a computerized instructional system which uses artificial intelligence techniques for teaching problem-solving and diagnostic skills to undergraduate medical students.     

Micro-level product-market dynamics: Shared knowledge and its relationship to market development

This work draws on consumer and psychology research to explain sociocognitive aspects of product-market dynamics at a higher level of specificity than prior research. The authors extend the field’s understanding of market-shaping shared knowledge through a theory-informed discussion of how shared product knowledge comes to exist and how it changes as product markets develop. They define shared knowledge as the aspects of product representations that are common across the minds of market actors, making it possible for them to understand one another. The authors also discuss ways to track shared knowledge content that is expressed in market narratives. As the characteristics of shared knowledge are explained and linked to stages of product-market development, the authors develop a set of researchable propositions to guide future research. The theoretical arguments and propositions in this article complement extant marketing strategy research by integrating individual-level consumer theory with market evolution models. José Antonio Rosa (jose.rosa@case.edu; Ph.D., University of Michigan) is an assistant professor of marketing at Case Western Reserve University. His research interests include product markets as sociocognitive phenomena, embodied knowledge in consumer and managerial sensemaking, consumer illiteracy and coping, commitment and motivation among members of network marketing organizations, and buying group satisfaction. His research has been published in marketing and management publications, including theJournal of Marketing and theAcademy of Management Journal. Before entering academia, he worked in the automotive and information systems industries. Jelena Spanjol (jspanjol@tamu.edu; Ph.D., University of Illinois) is an assistant professor of marketing at Texas A&M University. Her research interests include product market dynamics, product portfolio management, innovation, sensemaking, and organizational and managerial cognition in marketing strategy. Her research has been published in marketing and management publications, including theJournal of Marketing and several book chapters. Before academia, she worked in the scientific software industry.     

The effect of merger on employee views of corporate reputation: Time and space dependent theory

Market relationships are often influenced by factors inside of the firm. Here we examine how the employees' view of corporate reputation of a merged B2B firm, assessed by corporate character (empathy, warmth, integrity and conscientiousness), influences their emotional attachment, satisfaction and job security. Warmth and empathy correlate strongly with satisfaction. Amongst a number of hypothesised ‘proximity’ factors time (e.g. length of service) and space (e.g. work location) had a substantial effect on perceived warmth and empathy. The interaction of the two had the most significant effect on emotional attachment; in that employees working remotely and of longer standing were the most disaffected. We propose the employees' length of service and work location as important factors generally in determining their emotional response to a merger and in predicting where disaffect will be most acute.     

Price Discrimination with Private and Imperfect Information

In this paper, I investigate the competitive and welfare effects of the improvements in information accuracy in markets where firms can price discriminate after observing a private and noisy signal about a consumer's brand preference. I show that when firms believe that consumers have a brand preference for them, then they charge more to these consumers, and this price has an inverse U‐shaped relationship with the signal's accuracy. In contrast, the price charged after a disloyal signal has been observed falls as the signal's accuracy rises. While industry profit and overall welfare fall monotonically when price discrimination is based on increasingly more accurate information, the reverse happens to consumer surplus.     

Corporate Stock and Bond Return Correlations and Dynamic Adjustments of Capital Structure

This paper analyses the effects of dynamic correlations between stock and bond returns issued by the same firm on the speed of adjustment towards target leverage. The results show that the estimated correlations are time varying, show persistence and differ among firms. Analysis of the potential explanatory variables reveals that the correlations decrease with negative expectations about future aggregate risks, but only for firms with a low default probability. In contrast, correlations are positively associated with specific risk measures, especially idiosyncratic stock risk and financial leverage. The positive relationship between the correlations and the leverage ratio suggests that target leverage can be achieved faster when the stock–bond correlation is high. Our results show that this is the case.     

Innovation and its diffusion: process,actors and actions

Seeking to understand factors affecting innovation diffusion, research has increasingly focused on process, actors and activities. After two decades of research, however, a systematisation of these three sets of studies is still lacking. Thus, this paper contributes to the existing literature providing a comprehensive framework of factors affecting innovation diffusion between organisations. Specifically it evidences phases of innovation diffusion process, clarifies the role of innovator, adopters and intermediaries and evidences actions that policy-makers can implement to support it.     

The role of intellectual capital in the success of new ventures

Identifying the factors that contribute to the success of new ventures is a difficult and challenging task. In that respect, this paper proposes an analysis of the intellectual capital within new business ventures. Based on the study of a sample of 130 new companies, for the purpose of this work we have analysed the influence of the proposed intangible assets on the success of newly-created organizations, acknowledging the key role of the human and relational capital in the first few years of the life of the business.     

Cost-effective compensation to avoid carbon emissions from forest loss: An approach to consider price-quantity effects and risk-aversion

Analyses were carried out on financial compensation to avoid loss of tropical forests and related carbon (C) emissions when marginal financial yield declined for land-use options with extended areas, and when a risk-averting perspective (modeled according to financial theory around the capital asset pricing model) is assumed. The approach in this study was to consider natural forest, forest plantation, pasture, and cropland simultaneously to investigate how an optimized land-use distribution may reduce the amount of compensation necessary to avoid C emissions from forest loss.The financial compensations derived were as high as US$ 176 per hectare per year when comparing natural forests only with the most profitable alternative (croplands). However, compensation decreased to US$ 124 for risk-neutral decision-makers, who would strive for optimized land-use allocation, and to only US$ 47 per hectare per year for risk-avoiders, who would look to maximize the reward-to-variability ratio. Sensitivity analyses indicated that the compensation under risk-aversion increased much less than under risk-ignoring when increased productivity of agricultural land-use or growing demand for agricultural products was simulated. It was concluded that considering appropriate diversification strategies and the well documented human behavior to avoid risks is an important step in developing cost-effective compensation policies.     

TALKING LESS AND MOVING THE MARKET MORE: EVIDENCE FROM THE ECB AND THE FED

This paper examines and compares the communication strategies of the Federal Reserve and the European Central Bank, and their effectiveness. First, we find that the surprise components of both monetary policy actions and statements have important but differing effects on asset prices, with unexpected communication having a much greater impact on longer‐term interest rates. Second, both the ECB and the Fed have proven to be equally successful in moving their domestic asset prices using either monetary policy or news shocks. However, the response of the American yield curve to the surprise component of Fed's statements is larger than the reaction of the European term structure to ECB's announcements. This result is intimately related to the amplitude of the policy rate cycle that is much larger in the US than in the euro area combined with the bounded support of the news shock. Third, we analyze the cross‐effects and show that the Fed has been more able to move the European interest rates of all maturities than the ECB to move American rates. This finding is tied to the predominance of dollar fixed income assets rather than to an attempt of the ECB to mimic the Fed.