Does Productivity in the Formal Food Sector Drive Human Ebola Virus Infections in Sub‐Saharan Africa?

As the hunting, butchering, processing, and consumption of bushmeat is a potential source of human Ebola virus (EV) infections, the extent to which bushmeat is a substitute for food produced and sold in the formal sector suggests that the relative price of food could matter for the incidence of human EV infections. This paper considers if productivity in the food sector is a driver of human EV infections in sub‐Saharan Africa. We estimate count data specifications of country level human EV infections as a function of food sector productivity in sub‐Saharan Africa over the 1976–2013 time period. Our parameter estimates suggest that if productivity in the food sector was on average 1 per cent higher over the 1976–2013 time period, the incidence of human EV infection would have been 42.5 per cent lower. This is consistent with bushmeat being a substitute for food produced in the formal sector, as food productivity increases lower the price of formal food relative to bushmeat. Our findings suggest that as productivity in the formal food sector is a driver of human EV infections in sub‐Saharan Africa, policy interventions that increase food productivity would enable Millennium Development Goal outcomes related to hunger, disease mitigation, and sustainability of wildlife.     

The role of tourism management in adaptation to climate change – a study of a European inland area with a diversified tourism supply

The Carpathian Basin is one of the most vulnerable European regions in terms of potential climate change impacts on biodiversity. Its wide range of tourism activities make it uniquely suitable for assessing the effects of climate change on tourism. This research sought to create a Tourism Adaptation Portfolio (TAP) for the Szentendre micro-region in Hungary and to assemble an adaptation toolbox for current and future use by tourism organizations. The TAP contains practical, easy to implement solutions for key stakeholders in the sector by adaptation type (technology, management, behavior, education, policy). Surveys of local tourism suppliers showed that 70% said they were well informed, largely by the Internet, but 55% admitted to not knowing enough. The methodology outlined here is transferable and the process can be replicated elsewhere, supporting other regions in becoming climate-friendly tourism destinations, creating opportunities for uniquely positioning a region for consumers. The article provides a concise overview of tourism provider attitudes assessed through a questionnaire, shedding light on points of intervention, willingness to pay, main barriers and suitable adaptation instruments. The adaptive capacity of stakeholders is also discussed, which is indispensable for implementing successful practices in adaptation and maintaining the current level of environmental services.     

Risk,uncertainty and the theory of planned behavior: A tourism example

The differential impacts risk and uncertainty have on travel decision-making were explored by examining the constructs' influence on the antecedents of intentions to visit Australia using the theory of planned behavior. Respondents were obtained from online consumer panels in South Korea, China and Japan. The South Korean and Chinese samples were general population samples, while the sample from Japan was an international travelers' sample. The extended model fitted the data well, explaining between 21 and 44 percent of the variance in intentions. Subjective norms and perceived behavioral control significantly impacted on intentions in all country samples, whereas attitudes toward visiting Australia were only significant in Japan. Subjective norms influenced attitudes and perceived behavioral control in all country samples. Finally, perceived risk influenced attitudes toward visiting Australia in South Korea and Japan, while perceived uncertainty influenced attitudes toward visiting Australia in South Korea and China and perceived behavioral control in China and Japan.     

Relationship marketing in consumer markets: Antecedents and consequences

Understanding the motivations of consumers to engage in relationships with marketers is important for both practitioners and marketing scholars. To develop an effective theory of relationship marketing, it is necessary to understand what motivates consumers to reduce their available market choices and engage in a relational market behavior by patronizing the same marketer in subsequent choice situations. This article draws on established consumer behavior literature to suggest that consumers engage in relational market behavior due to personal influences, social influences, and institutional influences. Consumers reduce their available choice and engage in relational market behavior because they want to simplify their buying and consuming tasks, simplify information processing, reduce perceived risks, and maintain cognitive consistency and a state of psychological comfort. They also engage in relational market behavior because of family and social norms, peer group pressures, government mandates, religious tenets, employer influences, and marketer policies. The willingness and ability of both consumers and marketers to engage in relational marketing will lead to greater marketing productivity, unless either consumers or marketers abuse the mutual interdependence and cooperation. He has published more than 200 books and research papers in different areas of marketing. His bookThe Theory of Buyer Behavior (1969) with John A. Howard is a classic in the field. He has recently published two scholarly books:Marketing Theory: Evolution and Evaluation (1988) andConsumption Values and Market Choices (1991). He is on the editorial boards of at least a dozen scholarly journals in marketing, international business, and quantitative methods; he is also series editor ofResearch in Marketing (JAI Press). Prior to joining Emory, he was an associate professor of marketing at XLRI Jamshedpur in India. He received his M.B.A. and Ph.D. from Banaras Hindu University, India. He has authored a number of articles in the area of international marketing, business alliances, and environmental marketing. He is coeditor ofResearch in Marketing (Annual Series, JAI Press) and serves on the editorial review board ofInternational Marketing Review.     

A social network supported CAI model for tacit knowledge acquisition

Freehand sketching is one of the most important and commonly used methods of generating and sharing budding ideas during the conceptual development portion of the preliminary phase of design. To develop one’s skills, prolonged practice, acquiring instant feedback and suggestions while practicing are invaluable. The two key and indispensable parts of learning draftsmanship are viewing and commenting on large numbers of free hand sketches. However, due to insufficient educational resources, instructors must spend most of their time engaged in class-room teaching, reducing the time allotted for one-on-one discussion and specialized assistance. Furthermore, the lack of sketch grading criteria can prevent students from developing proper insights into the essentials of sketching. As a result, students neither receive personalized feedback nor acquire adequate training in critiquing freehand sketching skills. These factors decrease learning effectiveness and negatively impact learning motivation. In order to solve this problem, this research has created a discussion platform on Facebook that utilizes the learning characteristics essential to developing proficiency in freehand sketching. It includes practice, observation, and comments. It has been found that this cultivates the subjects’ ability to judge freehand sketch quality and increases learning motivation and effectiveness through the process of peer-assessment. After participating in the one-semester teaching experiment, the abilities of the experimental group were significantly better than those of the control group, demonstrating that the online sketch discussion platform has a significant impact on freehand sketch learning.     

Enhancing Stock Market Return with New Product Preannouncements: The Role of Information Quality and Innovativeness

To advance development and application of signaling theory in the new product preannouncement literature while seeking to resolve ambiguity regarding the influence of innovativeness on stock market return, the role of information quality is examined. Specifically, this study investigates the effect of innovativeness across low and high levels of information quality. The results, ascertained using event study methodology on a sample of 243 new product preannouncements collected over a nine‐year period, indicate that higher information quality increases the strength of the positive relationship between innovativeness and stock market return. The findings offer managers insight into what role information quality plays in new product preannouncements that can help their firms generate higher stock market return.     

Weak Property Rights and Holdup in R&D

We study how the sequence of financing of R&D varies according to the ease with which property rights over knowledge can be defined. There are two financiers: a venture capitalist (VC) and a corporation. The knowledge acquired in costly research becomes embodied in the researcher's human capital, and she may hold up the financier and walk away with the project to develop it elsewhere. The main results are: (1) When property rights are strong, research is always funded by the VC, development is performed efficiently, and breakaways from the VC to the corporation are observed in equilibrium. (2) When property rights are weak, projects may be financed by the VC or the corporation, or may remain unfunded. (3) When property rights are weak, no breakaways occur in equilibrium; local spillovers and strong product market competition increase the likelihood that research projects will get funding. (4) The equilibrium sequence of R&D finance need not be first-best efficient. (5) In equilibrium, and controlling for the strength of property rights, VCs finance projects that are more profitable on average.     

Exact inference for progressively Type-I censored exponential failure data

For reasons of time constraint and cost reduction, censoring is commonly employed in practice, especially in reliability engineering. Among various censoring schemes, progressive Type-I right censoring provides not only the practical advantage of known termination time but also greater flexibility to the experimenter in the design stage by allowing for the removal of test units at non-terminal time points. In this article, we consider a progressively Type-I censored life-test under the assumption that the lifetime of each test unit is exponentially distributed. For small to moderate sample sizes, a practical modification is proposed to the censoring scheme in order to guarantee a feasible life-test under progressive Type-I censoring. Under this setup, we obtain the maximum likelihood estimator (MLE) of the unknown mean parameter and derive the exact sampling distribution of the MLE under the condition that its existence is ensured. Using the exact distribution of the MLE as well as its asymptotic distribution and the parametric bootstrap method, we then discuss the construction of confidence intervals for the mean parameter and their performance is assessed through Monte Carlo simulations. Finally, an example is presented in order to illustrate all the methods of inference discussed here.     

Urban economic base as a catalyst for movements in real estate prices

We examine the relation between housing prices in an MSA and its urban economic base. We create and employ new forward-looking employment growth indices that measure the urban economic strength of an MSA and find that it accounts for a significant and sizeable portion of the house price movements in that MSA. We argue that the forward looking measure is an indicator of future agglomeration growth for the MSAs. We further partition the urban economic growth into growth by various industries and track the attribution of their growth to housing prices over time. We find that for some MSAs, home prices are driven by the same set of industries over time, whereas for others, home prices are driven by a totally new set of industries in the later quarters, due to the birth of new industries. We also analyze the impact of the diversification of an urban economic base on home price volatility and observe that diversification decreases home price volatility. The result has larger implications for urban policymakers in selecting the appropriate type of industries relative to their existing mix of industries.