Search results

The choice overload (CO) phenomenon, whereby having many options leads to negative consequences, has been studied widely in psychology and marketing. However, empirical evidence of CO in the tourism context is limited, even though people often encounter numerous choices (e.g., vacation destinations, airfares, hotels, tours) at different stages when planning their holidays. Investigating CO in tourism and hospitality is important because (online) travel advisors are providing tourists with numerous choices, yet they do not know whether or not these decision makers are content after choosing from these large choice sets. This chapter proposes to review and apply insights garnered from the CO literature to tourism research. Accordingly, the chapter proposes five groups of solutions for tourists and travel advisors to avoid CO effects: reducing decision task difficulty, reducing choice-set complexity, reducing preference uncertainty, focusing on decision goals rather than the means to achieve those goals, and adopting appropriate decision-making styles.

This chapter reviews the existing empirical evidence on how social insurance affects health. Social insurance encompasses programs primarily designed to insure against health risks, such as health insurance, sick leave insurance, accident insurance, long-term care insurance, and disability insurance as well as other programs, such as unemployment insurance, pension insurance, and country-specific social insurance programs. These insurance systems exist in almost all developed countries around the world. This chapter discusses the state-of-the art evidence on each of these social insurance systems, briefly reviews the empirical methods for identifying causal effects, and examines possible limitations to these methods. The findings reveal robust and rich evidence on first-stage behavioral responses (“moral hazard”) to changes in insurance coverage. Surprisingly, evidence on how changes in coverage impact beneficiaries’ health is scant and inconclusive. This lack of identified causal health effects is directly related to limitations on how human health is typically measured, limitations on the empirical approaches, and a paucity of administrative panel data spanning long-time horizons. Future research must be conducted to fill these gaps. Of particular importance is evidence on how these social insurance systems interact and affect human health over the life cycle.

As one of the fastest growing countries in the Middle East, and the one most vulnerable to climate change, the main challenge now facing Iran today is how to house its growing population in a socially, economically, and environmentally sustainable way. However, in the absence of a national framework to guide the sustainable development of the built environment, responding to this challenge is problematic. The articulation of a comprehensive assessment method that would enable issues of sustainability to be addressed and incorporated within building construction projects is urgently required. The research that underpins this paper takes account of current tools in aiming to support the development of a national building sustainability assessment method (BSAM) for use in Iran that involves the identification of sources of impact, specific benchmarks, and priorities for a weighting system for assessment criteria. This paper profiles the basis of a contextual framework that will inform the development of such a regional-based tool, taking account of Iran’s current climate change adaptation policies and priorities, its environmental conditions and socio-economic challenges, building typologies, standards and benchmarks.

This paper reports on the processes and outcomes of a collaborative self-study conducted by three beginning teacher educators who sought to examine the efficacy of their teaching practices while working with student teachers in the field. By systematically embracing opportunities to explore mutually pressing issues and concerns manifest across the student teaching semester, the authors found that collaborative self-study provided a useful framework for considering their pedagogical reasoning and decision making as they encouraged student teachers to engage in rationale-based practice. The understandings gleaned from this study provided the authors with a basis upon which to reexamine their developing teacher educator pedagogies, as well as to critique the nature and structure of their teacher education program.

Identification in a regression discontinuity (RD) design hinges on the discontinuity in the probability of treatment when a covariate (assignment variable) exceeds a known threshold. If the assignment variable is measured with error, however, the discontinuity in the relationship between the probability of treatment and the observed mismeasured assignment variable may disappear. Therefore, the presence of measurement error in the assignment variable poses a challenge to treatment effect identification. This chapter provides sufficient conditions to identify the RD treatment effect using the mismeasured assignment variable, the treatment status and the outcome variable. We prove identification separately for discrete and continuous assignment variables and study the properties of various estimation procedures. We illustrate the proposed methods in an empirical application, where we estimate Medicaid takeup and its crowdout effect on private health insurance coverage.

Citizens are substantial stakeholders in every e-government system, thus their willingness to use and ability to access the system are critical. Unequal access and information and communication technology usage, which is known as digital divide, however has been identified as one of the major obstacles to the implementation of e-government system. As digital divide inhibits citizen’s acceptance to e-government, it should be overcome despite the lack of deep theoretical understanding on this issue. This research aimed to investigate the digital divide and its direct impact on e-government system success of local governments in Indonesia as well as indirect impact through the mediation role of trust. In order to get a comprehensive understanding of digital divide, this study introduced a new type of digital divide, the innovativeness divide.

The research problems were approached by applying two-stage sequential mixed method research approach comprising of both qualitative and quantitative studies. In the first phase, an initial research model was proposed based on a literature review. Semi-structured interview with 12 users of e-government systems was then conducted to explore and enhance this initial research model. Data collected in this phase were analyzed with a two-stage content analysis approach and the initial model was then amended based on the findings. As a result, a comprehensive research model with 16 hypotheses was proposed for examination in the second phase.

In the second phase, quantitative method was applied. A questionnaire was developed based on findings in the first phase. A pilot study was conducted to refine the questionnaire, which was then distributed in a national survey resulting in 237 useable responses. Data collected in this phase were analyzed using Partial Least Square based Structural Equation Modeling.

The results of quantitative analysis confirmed 13 hypotheses. All direct influences of the variables of digital divide on e-government system success were supported. The mediating effects of trust in e-government in the relationship between capability divide and e-government system success as well as in the relationship between innovativeness divide and e-government system success were supported, but was rejected in the relationship between access divide and e-government system success. Furthermore, the results supported the moderating effects of demographic variables of age, residential place, and education.

This research has both theoretical and practical contributions. The study contributes to the developments of literature on digital divide and e-government by providing a more comprehensive framework, and also to the implementation of e-government by local governments and the improvement of e-government Readiness Index of Indonesia.

Teenagers are typically described as impulsive and risk taking. Yet recent research shows that this observation does not hold in all contexts. Rather, adolescents show higher impulsivity and risk taking than children or adults in affective contexts. Motivational and affective processes are therefore of particular interest when trying to understand typical adolescent behavior. Additionally, pubertal hormones are hypothesized to play a special role in adolescents’ motivated decision making. However, evidence for the mechanisms underlying this relationship is sparse. In this chapter, we aim to integrate findings from human and animal studies in order to elucidate the specific impact of pubertal hormones on motivational processes in adolescence. Against this background, we critically discuss and reinterpret recent findings in psychology and neuroscience, speculate about underlying mechanisms, and suggest new approaches for future studies of adolescent behavior.

Teaching is seen as a morally significant endeavor, but there is a lack of clarity about the entire domain. While teachers usually do not develop a refined professional knowledge base or vocabulary of the moral work of teaching (Sanger, 2017) during pre- and in-service teacher education, there is a need to explore more in detail what kind of expertise is required and employed in the moral work of teaching, and how the components of that expertise are related to each other. The purpose of our theoretical chapter is not to present the “foreground,” that is the results of “what works” but instead to highlight the “background” of teaching profession. We note that the complexities of teaching can be structured through the relational viewpoints of ethical principles, moral judgments, and virtuous policies. From these three standpoints, which often appear separate and disconnected, we try out a constructive synthesis. Our framework denotes that teaching is a peculiar kind of relationship that brings with it special ethical guidelines, moral judgments, and constant considerations of how to realize human well-being in the real-world dilemmas of teaching.

I am indebted to Anthony Waterman for identifying the largely illegible phrase cuius regio, eius religio, found near the end of Ostrander’s notes. Waterman writes, in explanation, apropos of Martin Luther: Lit. ‘whatever of the king, so of the religion’: it means that L. thought (being the Erastian he was), that the religion of a country should be that of its sovereign prince. Note: (a), the assumption, almost universal at that time, that there can be only ONE church in any Christian nation; and (b) the assumption, standard until the Scottish Enlightenment I should think (though people like Locke begin to chip away at it) that – as Louis XIV put it with admirable economy, ‘l’etat c’est moi’ (Waterman to Samuels, December 12, 2002).