Benchmarks of Web Site Design and Marketing by Swiss Hotels

Schegg, Roland; Steiner, Thomas; Frey, Susanne; Murphy, Jamie

doi:10.3727/109830502108751064

Cited by 77 publications

(46 citation statements)

References 31 publications

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“…An automated content analysis would help address reliability issues as vestments (Morrison et al, 2004). While many studies model website performance based on the well as provide more website features (Scharl et al, 2004;Schegg et al, 2002). presence, importance, or usability of website features (Chung & Law, 2003;Law & Cheung, 2006; Longitudinal studies as well as replicating this study in other countries and other industries may Yeung & Law, 2004), few studies relate website features to performance measures (Scharl, Wöber, shed light on generalizable conclusions.…”

Section: Academic Discussionmentioning

confidence: 99%

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Investigating the Evolution of Hotel Internet Adoption

Murphy

Schegg²,

Olaru³

2006

Information Technology & Tourism

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This article draws upon Diffusion of Innovations and Configurational theories to investigate how website features and email responses by 200 Swiss hotels reflect evolving Internet adoption. Complementary multivariate and artificial neural network (ANN) techniques support classifying the hotels into three clusters based on their website features. These clusters and the results of a structural equation model confirm that Internet adoption evolves from static to dynamic use, as organizations add website features and provide quality responses to customer emails. Practically, differences among these clusters suggest caution in adopting some website features. Academically, the study extends diffusion research and introduces metrics, particularly domain name age and quality email responses, for future research of organizational Internet adoption. Finally, the study illustrates how ANNs complement and help overcome limitations of multivariate techniques.

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Section: Academic Discussionmentioning

confidence: 99%

“…Both solutions revealed significant tion (Schegg et al, 2002;Siguaw et al, 2000;Wei et al, 2001), across both solutions the first cluster cluster differences on identifying the sender as a business and by name. The ANN solution also had the least number of rooms and the third cluster had the most rooms (see Table 6).…”

Section: Introductionmentioning

confidence: 99%

Investigating the Evolution of Hotel Internet Adoption

Murphy

Schegg²,

Olaru³

2006

Information Technology & Tourism

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“…Huang and Law (2003) applied 8Ps and 4Cs theories to assess the promotions on China-based hotel websites. Schegg, Steiner, Frey, and Murphy (2002) used a benchmark method to test the website quality and their online strategies. Essawy (2006) applied a protocol analysis to determine consumers' purchase intention, revisit intention, and recommendations.…”

Section: Perceived Hotel Website Performance From Consumer Perceptionsmentioning

confidence: 99%

Comparative evaluation study of the websites of China-based and international luxury hotels

Law

Buhalis

2017

Journal of China Tourism Research

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Practitioners in the hotel industry constantly seek ways to improve their online and offline presence to improve their competitiveness and profitability. Consumers from different countries differ in their preferences for color, pictures, navigation, and site structure, which affect the performance of hotel websites. To connect industry efforts with consumer requirements, this study adopts a website usefulness framework to compare the websites of China-based luxury hotels with those of international luxury hotels. A fuzzy model is applied to analyze the data collected from online users. Findings of this study will be utilized to assess the perceptions of Chinese and international users and to compare the performance of the websites of China-based luxury hotels with those of international luxury hotels. Results show that Chinese and international consumers significantly differ in their perception of the usefulness performance of China-based and international luxury hotel websites.

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“…Con el objetivo de elaborar un modelo para estructurar el análisis del contenido web aplicado a las estaciones de esquí, se ha realizado una revisión de la literatura existente (Álvarez, 2014;Baloglu y Pekcan, 2006;Bingley et al, 2010;Chung y Law, 2003;Escobar y Carvajal, 2013;Lee y Morrison, 2010;Schegg et al, 2002;Woodside et al, 2011) y se propone el siguiente modelo (ver tabla 2), el cual nos aportará una visión de los recursos que las estaciones de esquí muestran en sus sitios web para que sus usuarios obtengan la información necesaria y les permita interactuar con las mismas, ya sea para realizar actividades de comercio electrónico (compra de forfaits, servicios de restauración, alquiler de material, etc. ), ya para plantear cuestiones en una plataforma segura que garantice el cumplimiento de los estándares de calidad de un sitio web.…”

Section: Metodología: Modelo De Análisis Del Contenido Webunclassified