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11 – 20 of 37Tarik Dogru, Sean McGinley and Woo Gon Kim
The purpose of this paper is twofold: first, to examine the extent to which hotel investments create jobs and, second, to compare whether investment in a particular hotel segment…
Abstract
Purpose
The purpose of this paper is twofold: first, to examine the extent to which hotel investments create jobs and, second, to compare whether investment in a particular hotel segment generates more or less jobs in the overall economy and in the tourism, leisure and hospitality industries.
Design/methodology/approach
The panel autoregressive distributed lag regression model was used to examine the effect of total hotel investments and hotel investments in economy-scale, midscale, luxury-scale and independent hotels on total employment and employment in the tourism, leisure and hospitality industries in the USA.
Findings
Hotel investments increase employment in both the overall economy and the tourism, leisure and hospitality industries. Midscale hotels make the highest contribution to employment in the overall economy. Economy-scale hotels make the highest contribution to employment in the overall tourism, leisure and hospitality industries.
Research limitations/implications
The results support the postulations of growth pole theory. As hotel investment increases, not only does the hotel industry see gains in employment but also does related economic sectors see an increase. Midscale hotels have the greatest positive impact on local labor markets, which is consistent with the assertions of middle-out economics.
Practical implications
Community leaders should encourage the type of investment that benefits the broader area as much as possible by incentivizing the type of growth that is related to employment growth.
Originality/value
This study investigates the relations between hotel investment and employment from a theoretical and empirical perspective by providing objective claims inferred from statistical inferences.
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Myung‐Ja Kim, Choong‐Ki Lee, Woo Gon Kim and Joung‐Man Kim
The purpose of this paper is to examine the structural relationships among lifestyle of health and sustainability (LOHAS), healthy food choices, trust, and emotional loyalty and…
Abstract
Purpose
The purpose of this paper is to examine the structural relationships among lifestyle of health and sustainability (LOHAS), healthy food choices, trust, and emotional loyalty and the moderating role of age between seniors and non‐seniors in restaurants.
Design/methodology/approach
Partial least squares (PLS)‐graph software (version 3.0) was used to analyze the measurements and structural models. The authors employed a PLS regression analysis for both the formative and reflective constructs in the empirical test of the research model.
Findings
The study revealed that the senior market segment differs from the non‐senior market segment in the following ways: the magnitude of impact of LOHAS on healthy food choices is much stronger for senior diners than for non‐senior diners and the impact of LOHAS on trust and emotional loyalty is greater for seniors than non‐seniors.
Research limitations/implications
The results of this study can guide the restaurant industry in its research on the implications of LOHAS for seniors.
Practical implications
Restaurant marketers should develop different strategies for the senior and non‐senior market segments, and they need to focus on target segments rather than attempting to appeal to the market as a whole.
Originality/value
This paper assists researchers and practitioners by shedding light on the differences among LOHAS, healthy food choices, trust, and emotional loyalty between senior and non‐senior diners.
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Antony King Fung Wong, Mehmet Ali Koseoglu and Seongseop (Sam) Kim
This study aims to examine the current state of the research activities of scholars in the hospitality and tourism field by analyzing the first 20 years of the new millennium.
Abstract
Purpose
This study aims to examine the current state of the research activities of scholars in the hospitality and tourism field by analyzing the first 20 years of the new millennium.
Design/methodology/approach
Longitudinal analyses using 14,229 journal articles as data source were realized by adopting BibExcel, Gephi and VOSviewer network analysis software packages.
Findings
This study provides a comprehensive overview of the hospitality and tourism research based on authorship and social network analysis, with patterns of prolific authors compared over four distinct periods.
Research limitations/implications
The hospitality and tourism academic society is clearly illustrated by tracing academic publication activities across 20 years in the new millennium. In addition, this study provides a guide for scholars to search for multidisciplinary collaboration opportunities. Government agencies and non-governmental organisations can also benefit from this study by identifying appropriate review panel members when making decisions about hospitality- and tourism-related proposals.
Originality/value
To the best of authors’ knowledge, this study is the first to use bibliometric analysis in assessing research published in leading hospitality and tourism journals across the four breakout periods in the new millennium.
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Kisang Ryu, Hye‐Rin Lee and Woo Gon Kim
The purpose of this study is to propose an integrated model that examines the impact of three elements of foodservice quality dimensions (physical environment, food, and service…
Abstract
Purpose
The purpose of this study is to propose an integrated model that examines the impact of three elements of foodservice quality dimensions (physical environment, food, and service) on restaurant image, customer perceived value, customer satisfaction, and behavioral intentions.
Design/methodology/approach
Data were collected from customers at an authentic upscale Chinese restaurant located in a Southeastern state in the USA via a self‐administered questionnaire. Anderson and Gerbing's two‐step approach was used to assess the measurement and structural models.
Findings
Structural equation modeling shows that the quality of the physical environment, food, and service were significant determinants of restaurant image. Also, the quality of the physical environment and food were significant predictors of customer perceived value. The restaurant image was also found to be a significant antecedent of customer perceived value. In addition, the results reinforced that customer perceived value is indeed a significant determinant of customer satisfaction, and customer satisfaction is a significant predictor of behavioral intentions.
Research limitations/implications
The proposed model and study findings will greatly help researchers and practitioners understand the complex relationships among foodservice quality (physical environment, food, and service), restaurant image, customer perceived value, customer satisfaction, and behavioral intentions in the restaurant industry.
Originality/value
This study is the first to develop an integrated model that explicitly accounts for the influence of three restaurant service quality factors on restaurant image and customer perceived value. Using structural equation modeling, this study empirically confirms that the model with the causality from quality, in particular three dimensions of foodservice quality in this study, to restaurant image is superior to the one with causality from image to quality in the context of restaurant.
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Sung‐hyuk Kim, Hong‐bumm Kim and Woo Gon Kim
This study examines how the lifestyle of senior citizens affects their choices of retirement communities. A survey was conducted among 256 potential customers of elderly housing…
Abstract
This study examines how the lifestyle of senior citizens affects their choices of retirement communities. A survey was conducted among 256 potential customers of elderly housing, targeting citizens over 45 years old who were residents of Seoul, the capital city of Korea, at the time of the survey. Findings reveal that most respondents preferred a location based in proximity to Seoul, convenience to the suburbs, a pleasant surrounding environment, and physical equipment and facilities. Medical services and community services were also found to have an impact on preference for residency. Canonical correlation analysis between the factors of elderly lifestyle and selection attribute factors of senior housing facilities demonstrates various significant relationships with implications for developers.
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Hong‐bumm Kim, Woo Gon Kim and Jeong A. An
Examines the underlying dimensions of brand equity and how they affect financial performance of hotel firms. The results of this empirical study, using data collected from 12…
Abstract
Examines the underlying dimensions of brand equity and how they affect financial performance of hotel firms. The results of this empirical study, using data collected from 12 luxury hotels, indicate that brand loyalty, perceived quality, and brand image are important components of consumer‐based brand equity. The result implies that hotel firms should seriously consider brand loyalty, perceived quality, and brand image when attempting to establish definite brand equity from the customers’ viewpoint. A review of detailed measures constituting these three variables, brand loyalty, brand awareness, and brand image, shows that most measures affect financial performances of hotels. Nonparametric correlation analysis provides fairly convincing evidence of the effect that consumer‐based brand equity has on a firm’s financial performance in the hotel industry
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Gabriel Gazzoli, Woo Gon Kim and Radesh Palakurthi
The internet has significantly changed the ways hotels distribute and price their products. The imminent success of online intermediaries caused financial problems for hotel…
Abstract
Purpose
The internet has significantly changed the ways hotels distribute and price their products. The imminent success of online intermediaries caused financial problems for hotel chains since online travel agencies offered better prices than the hotel brand websites. The existing literature on hotel online distribution has focused on pricing strategies and room availability issues for different segments of hotels. This paper, however, aims to compare online room prices of global hotel chains across online distribution channels and their own brand websites.
Design/methodology/approach
By using only the internet, 2,800 room rates were collected and analyzed. Descriptive statistics such as means and percentage were used to answer the research questions. Personal interviews with a CEO of an e‐business company and an area revenue director of a global hotel chain were conducted to confirm our findings and to gain additional insights in the related issues.
Findings
Descriptive statistics indicated that US properties are doing a much better job than their international partners in regards to “best rate guarantee,” “rate parity,” and room availability across online channels. Rate consistency still remains a problem within US properties.
Research limitations/implications
A limitation of this study is the use of convenience sampling methods, sample size, and currency conversion instruments.
Originality/value
Findings of this study would benefit revenue managers, general managers, hotel owners, and corporate brand managers to make decisions and to formulate new policies concerning their online distribution, revenue, and brand optimization strategies.
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Nuno Antonio, Ana Maria de Almeida, Luís Nunes, Fernando Batista and Ricardo Ribeiro
This paper aims to develop a model to predict online review ratings from multiple sources, which can be used to detect fraudulent reviews and create proprietary rating indexes, or…
Abstract
Purpose
This paper aims to develop a model to predict online review ratings from multiple sources, which can be used to detect fraudulent reviews and create proprietary rating indexes, or which can be used as a measure of selection in recommender systems.
Design/methodology/approach
This study applies machine learning and natural language processing approaches to combine features derived from the qualitative component of a review with the corresponding quantitative component and, therefore, generate a richer review rating.
Findings
Experiments were performed over a collection of hotel online reviews – written in English, Spanish and Portuguese – which shows a significant improvement over the previously reported results, and it not only demonstrates the scientific value of the approach but also strengthens the value of review prediction applications in the business environment.
Originality/value
This study shows the importance of building predictive models for revenue management and the application of the index generated by the model. It also demonstrates that, although difficult and challenging, it is possible to achieve valuable results in the application of text analysis across multiple languages.
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