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The Unified Modeling Language (UML) has received significant attention as the tool of the future for modeling information systems. However, prior to the development of the UML, IS modeling was done with tools such as Data Flow Diagrams (DFDs) and Entity‐Relationship Diagrams (ERDs). These tools have been developed over many years of information systems development and taught to thousands of information systems professionals. Many organizations continue to use these tools, and many other organizations use these tools but are considering switching to the UML. While the UML is being promoted as the future of IS modeling, there is little empirical evidence that suggests it is a better tool than the traditional approach. This research seeks to inform the decision to adopt the UML over traditional modeling tools by examining the efficacy of the two modeling tools in the identification of design defects in an information system model. The study involved MIS students attempting to find defects embedded in a model of an information system. The study finds that students using UML were able to find approximately twice as many of the defects injected in the model as those using traditional modeling tools.

The Unified Modeling Language has become an alternative to traditional modeling languages such as data flow diagrams for use in systems analysis. A modeling language is used to represent an information system so that analysts can use the model to make decisions about the design of the system and to communicate with stakeholders about the system. This study examines the comparative effectiveness of the UML and traditional modeling languages in communicating information about a system design. The study examines this on three types of individuals: individuals with no knowledge of either modeling language, individuals with no knowledge of either language that were provided training in one of the languages, and individuals that have had more extensive training in one of the languages. The study finds that there is no difference in the ability to communicate system design information between the languages for the first two types of individuals. However, the study finds that, for more extensively trained individuals, systems modeled with the UML are better able to communicate information about the data in the system while systems modeled with traditional languages are better able to communicate information about the process used by the system.

This study aims to explore how health informatics can underpin the successful delivery of recovery-orientated healthcare, in rural and remote regions, to achieve better mental health outcomes. Recovery is an extremely social process that involves being with others and reconnecting with the world.

An interpretivist study involving 27 clinicians and 13 clients sought to determine how future expenditure on ehealth could improve mental health treatment and service provision in the western Murray Darling Basin of New South Wales, Australia.

Through the use of targeted ehealth strategies, it is possible to increase both the accessibility of information and the quality of service provision. In small communities, the challenges of distance, access to healthcare and the ease of isolating oneself are best overcome through a combination of technology and communal social responsibility. Technology supplements but cannot completely replace face-to-face interaction in the mental health recovery process.

The recovery model provides a conceptual framework for health informatics in rural and remote regions that is socially responsible. Service providers can affect better recovery for clients through infrastructure that enables timely and responsive remote access whilst driving between appointments. This could include interactive referral services, telehealth access to specialist clinicians, GPS for locating clients in remote areas and mobile coverage for counselling sessions in “real time”. Thus, the technology not only provides better connections but also adds to the responsiveness (and success) of any treatment available.

Federal crop insurance programs are the primary risk management programs of the US farm programs. Currently, these programs have been criticized for being disproportionally in favor of the riskier areas. Despite previous researchers having widely speculated its existence, a formal study of the scale, spatial pattern and fiscal impacts of such misrating phenomenon is still missing in the literature.

This paper first purposes an empirically testable definition of misrating, and then detects the scale of the misrating phenomenon by using over two million actuarial records collected by United States Department of Agriculture (USDA's) risk management agency since 1989. Furthermore, multiple spatial statistics methods have been adopted to study the spatial patterns of the misrating statuses. Finally, the paper builds a simple theoretical model to study the potential fiscal impacts of any policy attempts to mitigate the misrating issue.

The result reveals that roughly 40% of the counties display some degree of misrating. Furthermore, the distribution of misrating displays a significant pattern of positive global spatial autocorrelation, which reflects the existence of regional clusters of premium rate mispricing. Last but not least, the paper concludes that whether an attempt toward fair rating decreases the total program outlay or not relies on the demand elasticity of crop insurance in both overrated and underrated regions.

This paper offers the first attempt to quantify the scale, identify the spatial pattern and evaluate the fiscal impact of the premium misrating in federal crop insurance programs.

This paper aims to provide an introductory overview and selected annotated bibliography of recent resources on library instruction and information literacy across all library types.

It introduces and annotates English-language periodical articles, monographs, dissertations and other materials on library instruction and information literacy published in 2014.

It provides information about each source, discusses the characteristics of current scholarship and highlights sources that contain unique or significant scholarly contributions.

The information may be used by librarians and interested parties as a quick reference to literature on library instruction and information literacy.

After great Wars, the years that follow are always times of disquiet and uncertainty; the country is shabby and exhausted, but beneath it, there is hope, expectancy, nay! certainty, that better times are coming. Perhaps the golden promise of the fifties and sixties failed to mature, but we entered the seventies with most people confident that the country would turn the corner; it did but unfortunately not the right one! Not inappropriate they have been dubbed the “striking seventies”. The process was not one of recovery but of slow, relentless deterioration. One way of knowing how your country is going is to visit others. At first, prices were cheaper that at home; the £ went farther and was readily acceptabble, but year by year, it seemed that prices were rising, but it was in truth the £ falling in value; no longer so easily changed. Most thinking Continentals had only a sneer for “decadent England”. Kinsmen from overseas wanted to think well of us but simply could not understand what was happening.

National Animal Health Week, usually the last week in May, was instituted by presidential proclamation in 1984. (The related observances Be Kind to Animals Week, sponsored by the American Humane Association, and National Pet Week, sponsored by the Auxiliary to the American Veterinary Medical Association, are usually celebrated during the first full week in May.)

The purpose of this study is to elucidate how green value influences potential green hotel customers’ propensity to choose green. Studies on green hotels emphasized environmental and financial benefits that conventional hotels do not provide to society or the companies. However, these benefits may not be the ones that resonate best with its potential customers. Besides, given the characteristics of green products, it is also important to point out how customers perceive green-related costs.

A pilot test was conducted in three universities and then an anonymous questionnaire was randomly administered to Korean passengers at the Incheon International Airport. Exploratory factor analysis and structural equation modeling were the primary methods of data analysis.

Four dimensions for perceived green benefits and three dimensions for perceived green costs emerged: functional, emotional, social and epistemic benefits; and monetary, explicit and implicit costs. Environmental concern influenced perceived green benefits positively and perceived green costs negatively, while its relationship with purchase intention was insignificant. Perceived green benefits was not a significant predictor of purchase intention, but perceived green costs was, and it partially mediated the effect of environmental concern on purchase intention. Functional and emotional benefits as well as monetary and explicit costs were significantly associated with purchase intention.

This study has only investigated customer perceived value of a green hotel stay in the pre-purchase stage, and hotel brand level was not taken into consideration. Besides, convenience sampling of Korean respondents only may limit the generalizability of the research findings.

Research findings help to explain the inconsistency between eco-friendly attitude and green purchase intentions. Managers may understand the importance of developing customers’ green awareness and how to market the green value to them.

Few researches have focused on the role of customer perceived value in explaining true behavioral change of green hotel guests. The current study may be the first attempt to incorporate the social exchange theory into the conceptual model, and extend the knowledge of perceived value in this specific green context by not only emphasizing multi-dimensional perceived green benefits and perceived green costs but also incorporating a situational factor of environmental concern.