75 research outputs found

    The Role Of Flow In Creating E-loyalty: The Case Of Online Hotel Booking Websites

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    This dissertation aims to examine the concept of ―online customer experience‖, ―flow‖, and its role in influencing online customers‘ loyalty to a hotel booking website. To achieve this aim, a model was developed, which proposed that online flow is generated by both hedonic and utilitarian website features. A model was developed based on literature review to measure the relationships between the constructs. To initiate this research, a survey approach was taken. After conducting a pilot study, a marketing company was contacted to distribute the link for the online questionnaire. Five hundred and eleven (511) questionnaires were completed by guests who booked a hotel room online. Participants completed the self-administered online questionnaire by answering questions related to their last hotel booking experience. Study results found that hedonic and utilitarian website features affect the flow experience positively. Results highlight that hedonic website features has a stronger effect on the flow experience compared to utilitarian ones. In addition, the results revealed that hedonic features positively impact brand equity and utilitarian features impact trust towards the hotel booking website. Further, both trust and brand equity have significant and positive relationship with e-loyalty. However, according to study results, flow experience does not have a direct significant effect on e-loyalty. The study findings suggest that consumers who are able to achieve a state of flow while shopping online will perceive higher brand equity and trust. Therefore, their perceptions of the brand are improved. With enhanced levels of trust and brand equity, consumers are more likely to build bonds and stay loyal to the hotel booking website. It is important to note that iv enhancing the brand equity and trust via hedonic and utilitarian website features is important to increase loyalty because flow experience does not directly influence loyalty. This study contributes to existing research on flow experience in several ways. Firstly, it developed and tested a model with precursors of flow experience in ecommerce by establishing a link between website features and flow experience. Antecedents and consequences of flow experience can help researchers understand when this experience occurs and what to expect from this optimal experience in online environments. Thus, this study makes a contribution to the existing literature by examining the effects of features of the website on flow experience. It is worth noting that in the model, hedonic website features had the largest impact on flow experience. This is particularly an important contribution, considering that precious related research examined variables such as attractiveness, novelty, playfulness, personal innovativeness, content of the website, interactivity, teleperesence and perceived ease of use as the precursors of flow experience, but they have not examined the website characteristics that derives from shopping orientations. Study results can give hotel booking website designers and marketers a better understanding of the online consumer experiences and loyalt

    Online Hotel Booking Experience: Flow Theory, Measuring Online Customer Experience and Managerial Implications

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    The past decade has perceived a significant development of various Internet technologies including HTML5, Ajax, landing pages, CSS3, social media and SEO to name a few. New web technologies provide opportunities for e-commerce companies to enhance the shopping experiences of their customers. This article focuses the phenomenon of online experiences from a services marketing aspect by concentrating online hotel booking. Successful lodging management strategies have been associated with the creation of experience, which in turn leads to fruitful performance outcomes such as superior financial performance, enhanced brand image, customer loyalty, positive word of mouth and customer satisfaction. E-commerce researchers and practitioners also focus on the phenomenon of online customer experiences. Plentiful of previous studies investigated the precursors and consequences of positive online customer experiences by utilizing various marketing and Information Systems theories, and it was found that online customer experience has numerous positive outcomes for e-commerce companies. This study analyses the previous studies on customer experiences by utilizing flow theory and develops a conceptual framework of customer experiences. Later it proposes and tests a measurement model for online customer experiences. Our findings indicate that for successful e-commerce practices, online shoppers need to reach a state of mind where they engage with the website with total involvement, concentration and enjoyment. The traditional approaches to attract customers in brick-and-mortar commerce are not applicable in online contexts. Therefore, interaction, participation, co-creation, immersion, engagement and emotional hooks are important in e-commerce. Managerial and theoretical implications of positive online customer experiences were discussed

    Importance-Performance Analysis of Guest Entertainment Technology Amenities in the Lodging Industry

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    An assessment of how hotel guests view in-room entertainment-technology amenities was conducted to compare the importance of these technologies to how they performed. In-room entertainment technology continues to evolve in the hotel industry. However, given the multitude of entertainment products available in the marketplace today, hoteliers have little understanding of guests’ expectations and of which in-room entertainment-technology amenities will drive guest satisfaction and increase loyalty to the hotel brand. Given that technology is integral to a hotel stay, this study seeks to evaluate the importance and performance of in-room entertainment-technology amenities. Findings indicate that free-to-guest television (FTG TV) and high-speed Internet access were the two most important inroom entertainment-technology amenities when it comes to the selection of a hotel for both leisure and business travelers. The Importance/Satisfaction Matrix presented in the current study showed that many of the in-room entertainment-technology amenities are currently a low priority for guests. Keywords: importance-performance analysis, hotel, in-room entertainment technologie

    Combined artificial bee colony algorithm and machine learning techniques for prediction of online consumer repurchase intention

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    A novel paradigm in the service sector i.e. services through the web is a progressive mechanism for rendering offerings over diverse environments. Internet provides huge opportunities for companies to provide personalized online services to their customers. But prompt novel web services introduction may unfavorably affect the quality and user gratification. Subsequently, prediction of the consumer intention is of supreme importance in selecting the web services for an application. The aim of study is to predict online consumer repurchase intention and to achieve this objective a hybrid approach which a combination of machine learning techniques and Artificial Bee Colony (ABC) algorithm has been used. The study is divided into three phases. Initially, shopping mall and consumer characteristic’s for repurchase intention has been identified through extensive literature review. Secondly, ABC has been used to determine the feature selection of consumers’ characteristics and shopping malls’ attributes (with > 0.1 threshold value) for the prediction model. Finally, validation using K-fold cross has been employed to measure the best classification model robustness. The classification models viz., Decision Trees (C5.0), AdaBoost, Random Forest (RF), Support Vector Machine (SVM) and Neural Network (NN), are utilized for prediction of consumer purchase intention. Performance evaluation of identified models on training-testing partitions (70-30%) of the data set, shows that AdaBoost method outperforms other classification models with sensitivity and accuracy of 0.95 and 97.58% respectively, on testing data set. This study is a revolutionary attempt that considers both, shopping mall and consumer characteristics in examine the consumer purchase intention.N/

    A Study Of Accepted Pricing Points For In-Room Entertainment Technology Amenities By Guests

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    The influence of a resource subsidy on predator-prey interactions is examined using a mathematical model. The model arises from the study of a biological system involving arctic foxes (predator), lemmings (prey), and seal carcasses (subsidy). In one version of the model, the predator, prey and subsidy all occur in the same location; in a second version, the predator moves between two patches, one containing only the prey and the other containing only the subsidy. Criteria for feasibility and stability of the different equilibrium states are studied both analytically and numerically. At small subsidy input rates, there is a minimum prey carrying capacity needed to support both predator and prey. At intermediate subsidy input rates, the predator and prey can always coexist. At high subsidy input rates, the prey cannot persist even at high carrying capacities. As predator movement increases, the dynamic stability of the predator-prey-subsidy interactions also increases. © 2012 Copyright Taylor and Francis Group, LLC
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