Understanding the Motivation and Travel Behavior of Cycle Tourists Using Involvement Profiles

Bicycle tourism is a growing niche tourism market which has potential economic, social, and environmental outcomes for individual participants and host communities. However, there has been a lack of research into heterogeneity of this market and their respective motivations and behavior. This article applies the concept of enduring involvement, in conjunction with tourist motivational theory, to segment and better understand cycle tourist behavior and intentions. A total of 564 completed questionnaires was collected from an online survey of bicycle club members in Australia. Respondents were segmented into five initial clusters by their level of enduring involvement. A number of significant differences were found on their travel motivations, travel behavior, and behavioral intentions, as well as their sociodemographics and cycling behavior. The results lend support to the application of enduring involvement in a tourism context to better understand the behavior of niche markets which include popular leisure pursuits. Recommendations as a result of the findings are made for product development and marketing communication, while future research opportunities are also outlined.     

Using GDSS to examine the future European automobile industry

Group decision support systems (GDSS) are interactive computer software that supports both group communication and decision making. A prototype GDSS named DELAWARE, was applied to collect judgment and opinion from experts, on the future business environment of the automobile industry in Europe. This article describes the communication processes and the decision-making content embodied within the DELAWARE application     

Binomial Option Pricing Biases and Inconsistent Implied Volatilities

We evaluate the binomial option pricing methodology (OPM) by examining simulated portfolio strategies. A key aspect of our study involves sampling from the empirical distribution of observed equity returns. Using a Monte Carlo simulation, we generate equity prices under known volatility and return parameters. We price American–style put options on the equity and evaluate the risk–adjusted performance of various strategies that require writing put options with different maturities and moneyness characteristics. The performance of these strategies is compared to an alternative strategy of investing in the underlying equity. The relative performance of the strategies allows us to identify biases in the binomial OPM leading to the well–known volatility smile . By adjusting option prices so as to rule out dominated option strategies in a mean–variance context, we are able to reduce the pricing errors of the OPM with respect to option prices obtained from the LIFFE. Our results suggest that a simple recalibration of inputs may improve binomial OPM performance.     

Was there too little entry during the Dot Com Era?

We present four stylized facts about the Dot Com Era: (1) there was a widespread belief in a Get Big Fast business strategy, (2) the increase and decrease in public and private equity investment was most prominent in the Internet and information technology sectors, (3) the survival rate of dot com firms is on par with or higher than other emerging industries, and (4) firm survival is independent of private equity funding. To connect these findings we offer a herding model that accommodates a divergence between the information and incentives of venture capitalists and their investors. A Get Big Fast belief cascade could have led to overly focused investment in too few Internet startups and, as a result, too little entry.     

Are employers pursuing value-based purchasing?

Some employers have begun to undertake a variety of initiatives, collectively termed value-based purchasing (VBP), which aim at factoring quality into the purchasing decision-making process when negotiating costs with providers and insurers. There is evidence that the VBP movement has begun gaining momentum; yet it is unclear whether employers are firmly committed to VBP principles. By surveying a national sample of employers, this study investigates the extent to which employers are currently engaged in VBP activities and also increases our understanding of barriers hampering the broader implementation of these activities.     

Embedded Options in the Mortgage Contract

Loss mitigation is the process by which lenders attempt to minimize losses associated with foreclosure. As competition increases in the mortgage industry, lenders and servicers are under great pressure to adopt loss mitigation tactics rather than simply use foreclosure as the means of dealing with borrowers in default. This study presents a mortgage-pricing model that fully specifies all borrower options with respect to default, including the ability to reinstate the mortgage out of default. We document the impact of various loss mitigation programs, including forbearance and antideficiency judgments, as well as the value of credit on borrower default behavior.     

The impact of the National School Lunch Program on child health: A nonparametric bounds analysis

Children in households reporting the receipt of free or reduced-price school meals through the National School Lunch Program (NSLP) are more likely to have negative health outcomes than observationally similar nonparticipants. Assessing causal effects of the program is made difficult, however, by missing counterfactuals and systematic underreporting of program participation. Combining survey data with auxiliary administrative information on the size of the NSLP caseload, we extend nonparametric partial identification methods that account for endogenous selection and nonrandom classification error in a single framework. Similar to a regression discontinuity design, we introduce a new way to conceptualize the monotone instrumental variable (MIV) assumption using eligibility criteria as monotone instruments. Under relatively weak assumptions, we find evidence that the receipt of free and reduced-price lunches improves the health outcomes of children.     

Inferring disability status from corrupt data

In light of widespread concerns about the reliability of self‐reported disability, we investigate what can be learned about the prevalence of work disability under various assumptions on the reporting error process. Developing a nonparametric bounding framework, we provide tight inferences under our strongest assumptions but then find that identification deteriorates rapidly as the assumptions are relaxed. For example, we find that inferences are highly sensitive to how one models potential inconsistencies between subjective self‐assessments of work limitation and more objective measures of functional limitation. These two indicators appear to measure markedly different aspects of health status. Copyright © 2008 John Wiley & Sons, Ltd.     

A Knowledge-Based Explanation of Franchise System Resources and Performance

The knowledge-based view (KBV) holds that the knowledge that an organization possesses is its most important strategic resource. Despite how important the adequate use of knowledge is to franchise system success, the KBV has yet to guide many franchising studies. The most important principle of KBV is to recognize system-wide resources through the eyes of knowledge-based resources. Using two separate secondary data sets, we examine the relationships between the knowledgeable employment of system resources and system performance. Empirical results reveal consistent support for our hypotheses. The ensuing discussion focuses on the implications of our findings.