Bundling attractions for rural tourism development

Tourism is often regarded as a viable solution to economic crisis, especially for remote areas without many development options. While many tourism destinations have strong cultural or heritage assets, not all destinations have primary attractions that can bring visitors to the region. Rather than developing special interest “themes”, rural areas that do not have enough of any one type of tourism resource to act as a primary draw may consider bundling different attraction types to increase visitation. The purpose of this study is to investigate the preferences of visitors to secondary heritage sites and explore the relationship between heritage tourism and alternative, non-heritage activities in rural areas. Findings revealed that motivation to visit small-scale heritage sites consisted of two dimensions: learning and recreation. The two motivational dimensions influenced visitors’ interest in different heritage attractions and likelihood of visiting heritage tourism “scenarios”. As for alternative activities, there was a cluster of “popular” activities that were enjoyed by both learning-oriented and recreation-oriented respondents, but recreation-oriented visitors were more interested in nature-based activities and sport-related activities than learning-oriented visitors. Findings can help rural communities improve secondary attractions and diversify their tourism product by bundling heritage attractions with non-heritage activities.     

Are patent fees effective at weeding out low‐quality patents?

The paper investigates whether patent fees are an effective mechanism to deter the filing of low‐quality patent applications. The study analyzes the effect on patent quality of the Patent Law Amendment Act of 1982, which resulted in a substantial increase in patenting fees at the U.S. Patent and Trademark Office. Results from a series of difference‐in‐differences regressions suggest that the increase in fees led to a weeding out of low‐quality patents. About 10% of patents in the lowest quality decile were filtered out, with the effect concentrated in the patents of firms whose overall patent portfolio was medium to large (more than 20 patents). The study has strong policy implications in the current context of concerns about declines in patent quality.     

Top management team incentive heterogeneity,strategic investment behavior,and performance: A contingency theory of incentive alignment

Research summary : We develop and test a contingency theory of the influence of top management team (TMT) performance‐contingent incentives on manager–shareholder interest alignment. Our results support our theory by showing that although TMTs engage in significantly higher levels of acquisition investment when their average incentive levels increase, investors' responses to those large investments are generally negative. More importantly, however, we further find that within‐TMT incentive heterogeneity conditions that effect, such that investors evaluate TMTs' large acquisition investments more positively as the variance in those top managers' incentive values increases. Thus, within‐TMT incentive heterogeneity appears to increase manager–shareholder interest alignment, in the context of large acquisition investments. Managerial summary : We find that as the average value of TMTs' incentives increase, relative to their total pay, they invest more in acquisitions and investors' respond negatively to the announcement of those deals. However, we further show that investors respond more positively to acquisitions announced by TMTs whose members' incentive values vary (some TMT members hold higher incentives and others hold lower). Results imply that when TMT members hold differing incentives levels, they approach investments from divergent perspectives, scrutinize those investments more heavily, and make better decisions, relative to TMTs with similar incentives. They also suggest that boards seeking tighter manager–shareholder interest alignment may benefit from introducing variance into TMT members' incentive structures, as doing so appears to create divergent preferences that can improve team decision making. Copyright © 2016 John Wiley & Sons, Ltd.     

The Persistence of Dominant‐Firm Market Share: Raising Rivals' Cost on the New York Stock Exchange

To explain the persistence of dominant New York Stock Exchange (NYSE) market share in stock trading of listed securities from 1992 to 2002, we develop a dominant‐firm price leadership model and hypothesize that NYSE specialists raised the costs of rival market makers. The model predicts that natural and induced cost advantages will determine the NYSE's market share vis‐à‐vis the regional exchanges, electronic trading systems, and NASDAQ dealers. Empirically, NYSE market share increases with economies of scale and scope, abnormal price volatility, high asymmetric information, and with trading practices that raise rivals' costs, such as failure to display limit orders that bettered the existing quotes.     

Consumers as researchers – innovative experiences in UK National Health Service Research

Consumer involvement is an established priority in UK health‐ and social‐care service development and research. To date, little has been published describing the process of consumer involvement and assessing ‘consumers’ contributions to research. This paper provides a practical account of the effective incorporation of consumers into a research team, and outlines the extent to which they can enhance the research cycle; from project development and conduct, through data analysis and interpretation, to dissemination. Salient points are illustrated using the example of their collaboration in a research project. Of particular note were consumers' contributions to the development of an ethically enhanced, more robust project design, and enriched data interpretation, which may not have resulted had consumers not been an integral part of the research team.     

Robustly optimal monetary policy in a microfounded New Keynesian model

We consider optimal monetary stabilization policy in a New Keynesian model with explicit microfoundations, when the central bank recognizes that private-sector expectations need not be precisely model-consistent, and wishes to choose a policy that will be as good as possible in the case of any beliefs close enough to model-consistency. We show how to characterize robustly optimal policy without restricting consideration a priori to a particular parametric family of candidate policy rules. We show that robustly optimal policy can be implemented through commitment to a target criterion involving only the paths of inflation and a suitably defined output gap, but that a concern for robustness requires greater resistance to surprise increases in inflation than would be considered optimal if one could count on the private sector to have “rational expectations.”     

Virtue ethics and customer relationship management: towards a more holistic approach for the development of ‘best practice’

This paper focuses much‐needed attention on the ethical nature of customer relationship management (CRM) strategies in organisations. The research uses an in‐depth case study to reflect on the design, implementation and use of ‘best practice’ associated with CRM. We argue that conventional CRM philosophy is based on a fairly narrow construct that fails to consider ethical issues appropriately. We highlight why ethical considerations are important when organisations use CRM and how a more holistic approach incorporating some of Alasdair MacIntyre's ideas on virtue ethics could be relevant.     

Product pricing and solvency capital requirements for long-term care insurance

This paper presents a comprehensive assessment of premiums, reserves and solvency capital requirements (SCRs) for long-term care (LTC) insurance policies using Activities of Daily Living and US data. We compare stand-alone policies, whole life insurance policies with LTC benefit riders (LTC insurance combined with whole life insurance), life care annuities (LTC insurance combined with annuities) and shared LTC insurance in terms of net premium cost and SCRs. Net premiums and best-estimate reserves for base LTC insurance policies are determined using Thiele’s differential equation. Product features such as the elimination period and the maximum benefit period are compared using a simulation-based model. We show how a maximum benefit period can reduce costs and risks for LTC insurance products. SCRs for longevity risk and disability risk are based on the Solvency II standard formula. We quantify the extent to which whole life insurance policies with LTC benefit riders and life care annuities provide lower SCRs than stand-alone LTC insurance policies.     

Interpreting the results of studies using latent variable models to assess data quality: an empirical example using confirmatory factor analysis

Latent variable models (LVMs) offer one route to examine the quality of data collected in surveys. The possibility exists that individuals equivalent in their true level of a construct or variable being measured are unlikely to have equivalent observed responses as a function of an extraneous variable, e.g., group membership. This potential is labeled here as differential item functioning (DIF). Survey methods generally considers measurement bias to be estimators that do no not accurately reflect true values. DIF may be thought of as differential measurement bias, i.e., measurement bias conditional on group membership. As a function of group membership, the degree, amount, or type of measurement bias changes. DIF has the potential to negatively affect the quality of data. LVMs, e.g., confirmatory factor analysis (CFA), offer one tool to assess DIF. However, few published examples exist in the survey research field and training in the interpretation of these models is lacking. The purpose of the current paper is to describe CFA sufficiently for interpretive purposes and demonstrate an empirical application of CFA to assess survey data quality to provide further interpretive guidance. References are provided for analysts wishing to conduct analyses of this type.