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The purpose of this study was to identify the role of two kinds of leisure activities (i.e. casual and serious leisure) in reducing psychological and physiological stresses and, specifically, to investigate the differences between pre- and post-psychological and physiological stresses.

The data analyses were conducted using the Statistical Package for the Social Sciences 20.0 program. Descriptive analyses were calculated to identify the characteristics of the sample, including gender, education and age. Because of the small sample size (n < 30), this study uses a nonparametric test. The Wilcoxon signed-rank test was used to examine the differences between pre- and post-stresses of psychological and physiological approaches. The Mann-Whitney U test was used to examine the differences of stresses between the casual and serious leisure groups. In addition, the Kendall rank correlation coefficient was used to measure the association between leisure experiences and stresses.

The findings from this study indicated that pre-overall affective stress was significantly higher than post-overall affective stress. There were significant differences between pre- and post-physiological stresses during serious leisure. Research findings also suggested that serious leisure experiences have a significant and negative relationship with cognitive stress and physiological stress.

The data were obtained from two different types of leisure setting, and hence, the generalizability of the study findings to other regions needs to be explored in future studies. Research across other leisure settings also might permit the validation of more stable relationships between leisure and stresses. Future research is needed to investigate other important antecedents of individuals’ psychological and physiological stresses in the leisure setting and may identify the complex nature of leisure participants’ perceptions and their relationships with experiences.

Despite the growth of stress and leisure research, physiological-based analyses in this area are limited. Numerous studies have focused on leisure coping with negative life events based on social psychological perspectives. The finding of this study would be helpful to leisure practitioners to manifest the strengths and opportunities of experiences and performances associated with the leisure activity.

Apart from a few negative social effects of automated motels, this study aims to represent the first attempt to examine why consumers visit automated motels in Korea and how they feel about them using a qualitative research method.

To secure the validity of the data, a triangulation method which applied three data collection methods was used. Semi-structured interviews, focus group interviews, participatory online observation and template analysis, as data collection methods and an analysis technique were conducted.

Findings indicate that the main purposes of visiting these motels are for affairs and other sexual experiences, while there are also other major objectives such as individual privacy and business trips. Key determinants found in the analyses are anonymity, the room rate and more thematic factors.

Given the rising issue that there is a rapid growth in the market for automated motels beyond perceived negative images, those in the hospitality industry should devote attention to effective alternatives such as focusing on the inherent purpose of lodging with many other conveniences as well. For future studies, developing an instrument, investigating perspectives of the automated motel providers and comparing with research on automated hotels conducted in European countries are necessary.

This study provides some of the strengths of automated motels such as the assurance of anonymity during tourists’ stay and automated payment method in the parking garage that apply to the Korean middle-scale hotel industry. As the sector of automated motels provides favorable profit for the owners and the Korean hotel industry around Seoul always runs short of hotel provisions, this study implies that the governments and administrations should find a solution to replace the regular lodging group of automated motels with a category of tourist hotels.

Although there is unusual popularity and a considerably growing number of automated motels in Korea, scant research has been conducted relative to automated motels. Despite difficulty in debating the current issue of automated motels, this study, as the first pioneering research on automated motels in Korea, endeavored to address this issue and discuss its social and political implications based upon the findings.

The purpose of this paper is to be limited to provide an overall economic structure linked with a particular hospitality industry by identifying the economic structure of relations between the two hotel industries and other industries within a particular state in the USA.

The analyses of output, labor income and employment multipliers from the input–output system were performed using the IMPLAN 3.0 software. The study attempted to compare the hotel/motel industry (industry code 411) and the accommodations industry (industry code 412) with the top ten industries and averages of each set of multipliers to estimate the relative importance and contribution of the two hotel industries to the economy of Texas. After this comparison, the aggregated input–output tables and multipliers were prepared to determine the economic inter-relationship between the two combined hotel industries (industry code 411 plus industry code 412) and the non-hotel industries, using the criteria of the NAICS (North American Industry Classification System).

The three findings of this study are summarized as follows. First, the two hotel industries impacted the state economy due to a high induced effect from output and a considerable direct, indirect and induced effect from labor income and employment, despite their relatively lower multipliers and the economic downturn in the state. Second, the hotel-related industry had a strong inter-dependent relationship with the finance and insurance-related industries. Finally, while the hotel industry generated more labor income and employment than did the other accommodations industry, it is interesting that the other accommodations industry created more output than did the hotel industry.

Other than limitations pertaining to assumptions of input-output model, an input-output analysis alone cannot become the best analytical method for decision-making. The study was a cross-sectional study with 2009 data and did not incorporate a time-series flow of the state economic structure over several decades. A study of the inter-relationship among varied states bordering the state could be worthwhile to identify the flow of inputs and outputs.

Despite a considerable number of research in measuring the economic impacts, this paper was of great significance, in that the economic impact of the hotel industry that has never been performed in a particular state of the USA was analyzed. Additionally, these quantified economic data and results should be helpful to future plans and policies associated with the hotel industry.