Mapping the information-coping trajectory of young people coping with long term illness: An evidence based approach

Purpose - Purpose: We explore the relationship between information and coping information from the experiences of young people coping with long term illness. Design/methodology/approach - Methodology: Situational Analysis was used as a methodological approach. It has roots in the Chicago Symbolic Interactionism School. Cartographic approaches enabled the analysis, mapping the complexities emerging from the data. Findings - Findings: As the young people became more informed about their health conditions, and gained knowledge and understanding both about their illnesses, their own bodies and boundaries, their confidence and capacity to cope increased. Gaining confidence, the young people often wanted to share their knowledge becoming information providers themselves. From the data we identified five positions on an information-coping trajectory (1) Information deficiency (2) Feeling ill-informed (3) Needing an injection of information (4) Having information health and (5) Becoming an information donor. Research limitations/implications - Research limitations/implications: The research was limited to an analysis of thirty narratives. The research contributes to information theory by mapping clearly the relationship between information and coping. Originality/value - Originality/value: The information theories in this study have originality and multi-disciplinary value in the management of health and illness, and information studies

A comparative analysis of the value of information in a continuous time market model with partial information: the cases of log-utility and CRRA

We study the question what value an agent in a generalized Black-Scholes model with partial information attributes to the complementary information. To do this, we study the utility maximization problems from terminal wealth for the two cases partial information and full information. We assume that the drift term of the risky asset is a dynamic process of general linear type and that the two levels of observation correspond to whether this drift term is observable or not. Applying methods from stochastic filtering theory we derive an analytical tractable formula for the value of information in the case of logarithmic utility. For the case of constant relative risk aversion (CRRA) we derive a semianalytical formula, which uses as an input the numerical solution of a system of ODEs. For both cases we present a comparative analysis

Bayesian value-of-infomation analysis: an application to a policy model of Alzheimer's disease

A framework is presented that distinguishes the conceptually separate decisions of which treatment strategy is optimal from the question of whether more information is required to inform this choice in the future. The authors argue that the choice of treatment strategy should be based on expected utility, and the only valid reason to characterize the uncertainty surrounding outcomes of interest is to establish the value of acquiring additional information. A Bayesian decision theoretic approach is demonstrated through a probabilistic analysis of a published policy model of Alzheimer’s disease. The expected value of perfect information is estimated for the decision to adopt a new pharmaceutical for the population of patients with Alzheimer’s disease in the United States. This provides an upper bound on the value of additional research. The value of information is also estimated for each of the model inputs. This analysis can focus future research by identifying those parameters where more precise estimates would be most valuable and indicating whether an experimental design would be required. We also discuss how this type of analysis can also be used to design experimental research efficiently (identifying optimal sample size and optimal sample allocation) based on the marginal cost and marginal benefit of sample information. Value-of-information analysis can provide a measure of the expected payoff from proposed research, which can be used to set priorities in research and development. It can also inform an efficient regulatory framework for new healthcare technologies: an analysis of the value of information would define when a claim for a new technology should be deemed substantiated and when evidence should be considered competent and reliable when it is not cost-effective to gather any more information

Procuring electronic information: new business models in the context of the supply chain

Examines the information value chain and some of its concepts, first for printed information and second for electronic information. Discusses the procurement process and, in the light of the analysis made earlier in the paper, evaluates the various emerging models for procuring electronic information

Value Relevance of Financial and Non-Financial Information: Evidence from the Gaming Industry

Using financial and non-financial data from casino gaming firms listed in the United States from 1999–2017, we explore two research questions: (1) Is financial information value relevant to financial markets in the casino gaming industry? (2) Does non-financial information have incremental explanatory power over financial information? In general, we find that accounting numbers can explain a firm’s market value and stock returns in the casino gaming industry, except for accounting accruals, which may behave differently compared to other industries. We also find that non-financial information, such as the number of table games, number of slot machines, and their relative proportion, have significant value relevance in explaining market valuation. Our findings contribute to a better understanding of the value relevance of financial and non-financial information in the casino gaming industry. We also provide analysis of firms characterized by these non-financial attributes. Keywords: hospitality, casino, gaming, value relevance, table games, slot machines JEL Code: L83, M19, M4

Bayesian Value-of-Information Analysis: An Application to a Policy Model of Alzheimer's Disease

A framework is presented which distinguishes the conceptually separate decisions of which treatment strategy is optimal from the question of whether more information is required to inform this choice in the future. The authors argue that the choice of treatment strategy should be based on expected utility and the only valid reason to characterise the uncertainty surrounding outcomes of interest is to establish the value of acquiring additional information. A Bayesian decision theoretic approach is demonstrated though a probabilistic analysis of a published policy model of Alzheimer’s disease. The expected value of perfect information is estimated for the decision to adopt a new pharmaceutical for the population of US Alzheimer’s disease patients. This provides an upper bound on the value of additional research. The value of information is also estimated for each of the model inputs. This analysis can focus future research by identifying those parameters where more precise estimates would be most valuable, and indicating whether an experimental design would be required. We also discuss how this type of analysis can also be used to design experimental research efficiently (identifying optimal sample size and optimal sample allocation) based on the marginal cost and marginal benefit of sample information. Value-of-information analysis can provide a measure of the expected payoff from proposed research, which can be used to set priorities in research and development. It can also inform an efficient regulatory framework for new health care technologies: an analysis of the value of information would define when a claim for a new technology should be deemed “substantiated” and when evidence should be considered “competent and reliable” when it is not cost-effective to gather anymore information.stochastic CEA; Bayesian decision theory; value of information.

Critical factors affecting consumer acceptance of online health communication: an application of service quality models

The paper examines critical factors affecting consumer behavioral intentions in accepting online health communication through social networking sites. Unlike recent research under this topic, the paper assimilates some components of service quality dimensions and consumer behavior theories. The paper employs factor analysis and structural equation modelling analysis with latent variables to identify critical factors from the survey data collected from Korean consumers. The results of the study identifies three major constructs: consumer needs for health information, the perceived value of tangible attributes of health information providers, and the perceived value of intangible attributes of health information providers. The results show that consumer needs for health information and the tangible and intangible attributes of health information providers should be considered as important antecedents of accepting online health communication through social networking sites. The findings suggest that the success of online health communication via social networking sites largely depends on the tangible and intangible attributes of health information providers

Competitive Bidding in Auctions with Private and Common Values

The objects for sale in most auctions display both private and common value characteristics. This salient feature of many real-world auctions has not yet been incorporated into a strategic analysis of equilibrium bidding behavior. This paper reports such an analysis in the context of a stylized model in which bidders receive a private value signal and an independent common value signal. We show that more uncertainty about the common value results in lower efficiency and higher profits for the winning bidder. Information provided by the auctioneer decreases uncertainty, which improves efficiency and increases the seller's revenue. These positive effects of public information disclosure are stronger the more precise the information. Efficiency and revenues are also higher when more bidders enter the auction. Since our model nests both the private and common value case it may lead to an improved specification of empirical models of auctions.Auctions, inefficiencies, information disclosure, competition.

A PRELIMINARY SURVEY OF USERS OF AGRICULTURAL ECONOMICS INFORMATION: PROCEDURES AND RESULTS

This survey of 100 economic analysts in agriculture, outside of government and academia, assesses the changing public-private balance in information services in agriculture. Its objectives were to: (1)contact front-line private-sector analysts who handle economic issues in agriculture and ask them about the data and information they most value and why, (2) experiment with measurement instruments to segment and describe information attributes that users value; and (3) assess the interest of front-line analysts in the changing public- private balance in information provision. The results provide a list of information services used by analysts, descriptive responses on attributes that contribute to value-added, and statistical analysis relating respondent characteristics to the use of information from the U.S. Department of Agriculture.Teaching/Communication/Extension/Profession,