Spelling suggestions: "subject:"multichannel customer experience""
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OMNICHANNEL CUSTOMER EXPERIENCE IN TOURISM AND HOSPITALITY CONTEXTS: EXPERIENCE JOURNEY OF ONLINE AND OFFLINE TOURSLiu, Huimin, 0000-0003-0933-6371 08 1900 (has links)
The omnichannel customer experience in tourism and hospitality represents a dynamic journey that seamlessly integrates online and offline interactions for customers, reflecting an increasingly prevalent trend in the digital era. However, previous literature has yet to explore this rising phenomenon comprehensively within tourism and hospitality. This dissertation aims to fill this research gap through a three-study mixed-methods research design. Study 1 adopted a netnographic approach to qualitatively investigate the characteristics of the omnichannel customer experience in tourism and hospitality. The findings revealed that sequences of the omnichannel customer experience journey can vary (online → offline or offline → online). Different levels of consistency in omnichannel customer experience cater to varying customer needs. The online tours can serve five roles: offline tour substitution, offline tour planning, offline tour promoting, offline tour recalling, and offline tour complementing. Study 2 employed a propensity score matching approach and causal tree analysis to explore the impact of launching online tours in addition to offline experiences on customer satisfaction. The findings indicated that launching an online virtual tour in addition to the offline experience significantly increases customer satisfaction regarding advertising accuracy. Study 3 adopted an experimental approach to examine how omnichannel customer experience consistency affects customer satisfaction, revisit intention and recommendation intention, and to explore the moderating role of novelty seeking. The findings demonstrated that consistent omnichannel customer experience leads to more positive customer satisfaction, revisit intention, and recommendation intention towards online tours and omnichannel tours. When omnichannel customer experience consistency is low, individuals with high novelty-seeking motivation exhibit higher customer satisfaction, revisit intention, and recommendation intention towards offline tours compared to those with low novelty-seeking motivation and those experiencing highly consistent omnichannel customer experience. This dissertation provides valuable insights into the evolving omnichannel landscape of tourism and hospitality, shedding light on the nature and impact of the omnichannel customer experience journey. / Tourism and Sport
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Dimensiones del omnichannel customer experience y su relación con el engagement en centros comerciales. / Dimensions of the omnichannel customer experience and its relationship with engagement in shopping malls.Almeyda Almonacid, Daniela, Vargas Iza, Valeria Sofía 08 July 2021 (has links)
El conocimiento sobre la experiencia del cliente dentro de un contexto omnicanal es clave para determinar el nivel de compromiso del usuario hacia la empresa. En base a ello, el presente estudio abordará el omnichannel customer experience como la variable de interés principal analizando sus dimensiones para poder identificar su relación con el engagement. Asimismo, se adaptará a la realidad peruana en la industria que potencia la venta retail: los centros comerciales. Se realizará un estudio cuantitativo correlacional con 400 usuarios mediante el uso de encuestas online. Los resultados tendrán análisis bivariados y multivariados a través el programa estadístico SPSS y SmartPLS respectivamente. / Knowledge about the customer experience within an omnichannel context is key to determine the level of user engagement towards the company. Based on this, this study will focus on the omnichannel customer experience as the main variable of interest by analyzing its dimensions in order to identify its relationship with engagement. Likewise, it will be adapted to the Peruvian reality in the industry that boosts retail sales: shopping malls. A quantitative correlational study will be adopted with 400 users using online surveys. The results will have bivariate and multivariate analysis through the statistical software SPSS and SmartPLS respectively. / Trabajo de investigación
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