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I study the economic implications of the world oil market dominated by OPEC and non-OPEC major oil producing countries using a general equilibrium model of trilateral trade with oil duopoly. There are three countries and three goods, x, y, and oil (z). Home (H) is endowed with good x . Foreign (F) is endowed with good y and also produces oil (z). Middle (M) is an oil producing country and supplies oil only. I consider two types of oil market structure; (1) Cournot duopoly and (2) perfect competition. I find that Foreign is actually worse off under Cournot duopoly despite being a duopolist for wide range of parameter values that reflect real world situations. This is mainly due to reduced consumption of oil and reduced value of good y endowment under duopoly when Foreign is a net oil exporter or oil autarky, and is also due to worsening terms-of-trade effect under duopoly when Foreign is a net oil importer. Welfare reversal with higher welfare of Foreign under oil duopoly occurs only under highly unrealistic parameter values, and hence the main results of the study remain robust.

We study here the effects of FTA on demand, consumer surplus, dealer profit, and tariff revenue depending on the degree of substitution between two goods and import competition structure in a two country’s static model. We consider monopolist dealer, and perfect competition in imports market. The base model is with a positive tariff and we compare the equilibrium with a zero tariff under FTA. The rankings in the consumer utility are such that it is i) the highest under perfect competition with FTA or without FTA, ii) second highest under monopoly with FTA, and iii) the lowest under monopoly without FTA.

With the increasing dependence on market-based distribution of health-care resources in the USA, spending on health-care service advertisements directly targeting consumers has also increased. Previous research has shown that the ads fail to deliver information deemed essential by regulators. Nevertheless, the attitude of consumers toward health-care service advertising has been more positive than negative. The purpose of this study is to create a taxonomy of advertising information features to better describe the relationships between information features in the advertisements and consumer attitudes toward them.

A cross-sectional survey was conducted with 128 health-care consumers in a western state in the USA.

Factor analysis generated seven groups of information features. Among them, information features about access, cost and quality of care were rated as most helpful, whereas providers’ clinical qualifications and communication were rated least helpful. The advertising attitude measure was validated to contain two subscales, one regarding health-care service advertising and the other regarding physicians who advertise. People who highly rated the consumerism features had more positive attitudes toward health-care service advertising and people who highly rated provider clinical qualification features had more negative attitudes toward advertising physicians.

This study made methodological improvements in health-care service advertising research that would be crucial for its theoretical development. It also shed light on consumer characteristics and perceptions about information features that could influence their attitudes toward health-care service advertising.

In highlighting brain wave responses of emotional processing, the purpose of this study is to investigate (1) the effect of sport participation involvement on affective reaction in viewing photos; and (2) the association between affective reaction and behavioral intentions.

Using lateralized event-related potentials, the authors examined how brain wave reactions are different based on different sport involvement between two groups where one group had varsity sport experience while the other expressed that they were not fans of the sport.

Results indicated a significant difference in lateralization between groups. Brain responses were greater in the high involvement group and positively correlated with the intention to attend future games.

The findings in this study elucidate the linkage between one's history of sport involvement and affective brain wave responses. Implications from neurophysiological evidence provide means to further dissect the multifaceted construct of involvement in the field of sport marketing.

This paper aims to investigate design principles for transforming existing making communities of practice within public libraries into online knowledge-building communities to support youths, families with young children and adult members’ making and tinkering during COVID-19.

Building upon C4P and connected learning framework, the authors analyze existing literature and practitioner reports on informal learning projects related to making and STEM learning, family learning and online learning as well as emergent cases of innovative approaches in response to COVID-19 from public libraries, informal learning institutions and community groups.

The authors suggest 11 design principles around five areas: program design, facilitation, tools and materials, process documentation and sharing and feedback.

This work contributes to the information and learning sciences concerned with community engagement and knowledge creation by suggesting a design model to transform and sustain existing making communities of practice within public libraries into online knowledge-building communities during COVID-19.

This study aims to propose and validate a model for e-Learning success based on students’ experiences in the “new normal.” To achieve this goal, this study focused on answering three research questions: (1) What are the students’ experiential factors that impact e-Learning? (2) How do these experiential factors affect e-Learning success? (3) In what ways does a multimethod provide a comprehensive perspective and an in-depth understanding of students’ e-Learning experiences in the new normal?

This study applied a mixed-methods sequential approach using exploratory, confirmatory and complementary studies. First, this study undertook a text-mining exploratory analysis of the review data to extract e-Learning topics. Then, based on the Information Systems (IS) success model, this study identified an integrated framework drawn from the results of the text-mining analysis. Second, this study proposed an e-Learning, experience-based success model and corresponding hypotheses and conducted a confirmatory study with surveys to validate the model. Third, this study conducted in-depth interviews to better identify the phenomenon of interest.

The five factors extracted from the first stage are system quality, lecture content, teaching quality, online interaction and achievement. This study subsequently confirmed the significant relationships between the e-Learning success factors in the second stage based on the IS success model. Finally, a complementary study identified the importance of interactivity for e-Learning success in the new normal.

To the best of the authors’ knowledge, this paper is the first to develop an e-Learning success model using a comprehensive mixed-methods approach.

This study aims to provide an analysis and evaluation of infrastructure resilience, one of the components of disaster resilience, to natural hazards.

The analysis of this study consists of four stages. First, descriptive statistical analyses were carried out on the soft and hard infrastructure resilience and natural hazard index. Second, the spatial data were visualized through the exploratory spatial data analysis to understand the spatial distribution and spatial characteristics of variables of the data. Third, the local indicators of the spatial association method were used to identify areas in clusters where infrastructure resilience is weak. Fourth, comparisons were made between the soft and hard infrastructure resilience and natural hazard index: the level of natural hazard is high but the soft and infrastructure resilience remain very vulnerable to disaster.

The study found that infrastructure resilience varies from community to community, particularly in the same community, in terms of hard infrastructure and soft infrastructure. In addition, the comparative analysis between infrastructure resilience and disaster risk levels resulted in communities that were likely to suffer greatly in the event of a disaster.

This study is meaningful in that infrastructure resilience of Korean local governments was discussed by dividing them into soft and hard infrastructure and comparing them to natural disaster risk levels. In particular, the comparison with the natural disaster risk level identified local governments that are likely to experience significant damage from the natural disaster, which is meaningful in that it serves as a basis for policy practitioners to actively build infrastructure and respond to disasters.

The purpose of this study was to investigate the complexity of how spectators' multiple identities influence their behavioral intention. Specifically, the authors examined the effects of spectators' place identification, team identification and an interaction effect on attendance intention using social identity complexity framework.

Data were collected from spectators attending professional baseball games in South Korea. While 550 questionnaires were returned, 475 (86.36%) were used in the analysis after excluding incomplete responses. The research model was tested using latent moderated structural equations modeling.

Results indicated place identification only influenced attendance intentions through an interaction effect, while team identity directly affects attendance intention. Highly identified sport consumers intended to attend future games regardless of place identification, while the sense of love for the team's home region motivated low-identified sport consumers more to attend future games.

The findings of this research led to understanding the relationships between multiple identities and behavioral intention and provided the spectator sport industry with valuable strategies to manage their sport consumers.

First, the contributions of spatial characteristics to microclimate were analyzed. And the results from mobile measurements were compared to those from fixed measurements to examine accuracy of mobile method. Air temperature and physiologically equivalent temperature (PET) profiles were plotted to explore the impacts of the spatial characteristics of that urban square and local street.

This research investigates the effects of urban canyons and landscape on air temperature and outdoor thermal comfort in an open square in Seoul, Korea, a city of diverse thermal environments. Mobile field measurements were carried out to obtain local meteorological data based on higher spatial resolution.

On a day in October under clear sky, air temperature and PET differences of up to 1.77 °C and 9.6 °C were observed at 2 p.m. and 3 p.m., respectively. These were mainly from the impact of shading effects caused by surrounding obstacles. The current layout and volume of vegetation in the square seemed not effective for reducing air temperature and improving thermal comfort, which needs further study.

The authors tested a way to investigate time delay when using mobile measurements by correcting measured local data using adjacent meteorological observatory data. The findings of and limitations on mobile station-based field measurement and analysis are discussed herein.