Search results

This study aims to examine how experience with mental illness influences perceptions of stigma and realism in a specific direct-to-consumer advertisement (DTCA) for bipolar depression.

An online survey had participants watch a 90 s advertisement for a prescription bipolar depression drug and then answer 24 questions about stigma, mental illness experience and the realism of the portrayals in the advertisement.

Findings show that people who identify as having experience with mental illness tend to see the ad as more stigmatizing and less realistic. Additionally, people who expressed more stigmatizing beliefs also tended to see more stigma present in the ad. Finally, the study reconfirms conclusions of previous research that people who have experience with mental health conditions possess fewer stigmatizing beliefs overall regarding mental illness.

The sample population, while diverse in age and somewhat diverse in location, were highly educated, suggesting that they were not representative of the general population. Future studies may want to use more representative samples. A more nuanced approach to understanding experience is needed. While the sample in this study was purposively derived from communities with a higher rate of mental illness, a comprehensive experience scale to measure degrees of experience with mental illness would enhance understanding of this construct. Researchers may also want to look more deeply into the emotional responses of consumers who view these ads. To develop a greater understanding of the trajectory of DTCA, studies of online advertising for psychiatric drugs are needed.

The results of the study suggest that respondents with experience with mental illness may find ads that sell psychiatric medications unrealistic. This study presents the topic of realism in DTCA as an important construct for determining how consumers may perceive portrayals of disorders.

The fact that people who have experience with mental illness found the Latuda ad to be generally unrealistic suggests that DTCA may be failing to represent mental illness in a way that demonstrates care for patients. Additionally, this research confirms that people who have had exposure to and experience with mental illness tend to hold less stigmatizing beliefs, (Link and Cullen, 1986; Corrigan et al., 2001; Angermeyer et al., 2004) a finding which supports the continuing project of increasing mental health literacy and awareness in the general population.

This study investigates the reactions of people who identify as having some experience with mental illness to see if they accept the portrayals of mental illness in DTCA or resist them by challenging their realism or identifying stigmatizing elements.

The aim of this paper is to show that metaphors play an important role in the making of economics.

The paper’s discussion is situated within the framework of methodology of economics. It refers to recent studies on the role of metaphors in economics, as well as to the rhetoric – realism controversy (e.g. D. McCloskey versus U. Mäki).

The principal results of the paper are: the demonstration of the importance of metaphors in economics; and the claim that metaphors are not only used for rhetorical purposes but also serve as research tools indispensable in explaining economic phenomena. They are also essential in economic modeling.

The claim that economic models function as networks of metaphors needs further in-depth study, in particular drawing on insights from cognitive linguistics, where we find many interesting research projects currently underway, would be desirable.

The article contributes to the rhetoric – realism debate in economics. It adds some arguments to the literature claiming that rhetoric can be compatible with realism.

In this chapter, we address the question of what health economic models represent. Are they realistic? And, does model realism matter? Or, is model usefulness in terms of informing pricing, reimbursement, and prescribing decisions all policymakers care about? The usefulness of models is circumscribed given that: (1) market failure is inherent in healthcare and (2) models oversimplify the preference structure underlying choices. We suggest, however, that models which employ the ceteris paribus clause can be useful in order to isolate factors that play a role in healthcare decision-making and ultimately characterize agents’ multiattribute utility functions through discrete choice experiments. As a result, policymakers gain important knowledge about decision criteria in the healthcare system.

The purpose of this paper is to investigate: how dimensions of tone vary across different forms of corporate accountability narrative; the impact of tone on readability; and the determinants of tone, including consideration of its use in impression management.

Using a multi-year sample of listed companies, the authors measure dimensions of tone across multiple narrative types within the annual report and standalone corporate social responsibility report. Statistical analysis is used to investigate variations of tone across narrative type, each dimension’s influence on readability and the role of antecedent factors.

Analysis reveals that dimensions of tone vary significantly across narrative types (genres) suggesting that tonal patterns form part of the specific stylistic conventions of each genre. Tone is found to be a significant determinant of readability. Little evidence of obfuscation using tone was found, while disclosure type is the most salient determinant of tone.

The study illuminates latent or underlying disclosure norms that can facilitate the identification of “exceptional” cases that do not conform with expected tonal patterns of a particular narrative type and may warrant closer inspection by preparers, auditors or regulators. The issues raised regarding the clarity and balance of textual disclosures highlight the challenges in regulating corporate narratives.

This study highlights that tone is a more nuanced and layered concept than suggested by much of the prior literature. Further, tone ought to be considered in studies examining textual complexity.

Baumol’s impact on the development of managerial theories of the firm is investigated here through the material found in Galbraith’s archives. In 1957, Galbraith published a paper claiming that the impact of macroeconomic policies varies with market structures (competitive versus oligopolistic). That publication prompted Baumol (1958b) to send Galbraith a manuscript dealing extensively with a crucial question of managerial theories of the firm, namely, the trade-off between sales and profits. I argue that Baumol’s critiques and Galbraith’s answers largely explain the way Baumol (1958a, 1959) framed his alternative model of the behavior of corporations. He reasoned in terms of maximization of sales with a profit constraint as their main objective. In return, Business Behavior, Value and Growth fostered the development of Marris’ (1964) and Galbraith’s (1967) theories of the corporation. While Tullock (1978) provides a narrative in which the sales maximization hypothesis has two main branches – Baumol for the one and Galbraith–Marris for the other – the paper demonstrates that these branches are intimately connected.

Particle scale simulation of industrial particle flows using discrete element method (DEM) offers the opportunity for better understanding the flow dynamics leading to improvements in equipment design and operation that can potentially lead to large increases in equipment and process efficiency, throughput and/or product quality. Industrial applications can be characterized as large, involving complex particulate behaviour in typically complex geometries. In this paper, with a series of examples, we will explore the breadth of large scale modelling of industrial processes that is currently possible. Few of these applications will be examined in more detail to show how insights into the fundamentals of these processes can be gained through DEM modelling. Some examples of our collaborative validation efforts will also be described.

This study aims to examine how hospitality consumers of different generations appraise competitive service advantage (CSA) of service providers, based on providers’ business models and value propositions, particularly, how these perceptions influence consumers’ purchase intention, subjective well-being and trust in service provider.

This study used a 3 × 4 between-within online scenario-based experimental design (business models: traditional, collaborative, shared; value propositions: innovation, marketing, service production, recovery) using equal and randomized assignment to experimental conditions. Following equal quota-based randomized sampling, three generations were examined (n = 180): baby boomers, Generation Xers and millennials. Multivariate analysis of variance and PROCESS macro were used to analyze the data.

Hospitality consumers perceived value propositions from providers with different business models inversely based on their perceptions of firms’ CSA, subjective well-being and trust. CSA amplified the outcomes and served a mediating role for purchase intention, subjective well-being and trust. Different outcomes were based on generational cohorts.

Customer perceptions of firm’s unique competitive position should be managed holistically by combining business models, value propositions and generational cohorts to ensure customers’ purchase intention, trust and subjective well-being. CSA should be communicated to customers differently based on generational membership.

This study deepens knowledge of CSA, specifically from the consumer level of analysis. The key contribution is the role of CSA as a mediator for hospitality business models and customer-related outcomes of purchase intention, subjective well-being and trust. This study brings forward consumer subjective well-being as a potential goal for hospitality firms.

The transtheoretical model (TTM) has been applied to varying areas of physical health, e.g. diabetes. However, research into its applicability to psychotherapy is mixed. The TTM is applied through the University of Rhode Island Change Assessment (URICA). Investigating the utility of the URICA is needed to improve patient care and outcomes. This study aims to assess whether the URICA scores relate to patient outcomes; patient attendance; practitioner ratings of patient readiness, appropriateness, insight, motivation and potential for improvement; and to explore practitioner’s perspectives on the URICA.

Correlational methods were used to assess the relationship between the URICA and therapeutic outcome, attendance and practitioner-rated areas. Content analysis was used to analyse practitioner qualitative data.

The URICA did not correlate with either therapeutic outcome or attendance. A significant negative correlation was found between the URICA and practitioner-rated appropriateness of the referral. This means practitioners perceived individuals with lower URICA scores to be a more appropriate referral, despite the score indicating a reduced readiness to change. Qualitative categories included positive views, negative views, ambivalence and changes to measure and process. To conclude, the URICA does not explain a patient’s outcome or attendance. The URICA may not be appropriate to use in its current format in mental health services; therefore, assessing the TTM verbally may be more helpful.

This study provides research into suitability of using the URICA to assess the TTM and its applicability to attendance and outcome in psychological therapies.

This chapter explores a descriptive theory of multidimensional travel behaviour, estimation of quantitative models, and demonstration in an agent-based microsimulation.

A descriptive theory on multidimensional travel behaviour is conceptualised. It theorizes multidimensional knowledge updating, search start/stopping criteria, and search/decision heuristics. These components are formulated or empirically modelled and integrated in a unified and coherent approach.

The theory is supported by empirical observations and the derived quantitative models are tested by an agent-based simulation on a demonstration network.

Based on artificially intelligent agents, learning and search theory, and bounded rationality, this chapter makes an effort to embed a sound theoretical foundation for the computational process approach and agent-based microsimulations. A pertinent new theory is proposed with experimental observations and estimations to demonstrate agents with systematic deviations from the rationality paradigm. Procedural and multidimensional decision-making are modelled. The numerical experiment highlights the capabilities of the proposed theory in estimating rich behavioural dynamics.