Retailing is witnessing a transformation due to rapid technological developments. Retailers are using smart technologies to improve consumer shopping experiences and to stay competitive. The biggest future challenge for marketing and consequently for retailing seems to be generation Z, since members of this generation seem to behave differently as consumers and are more focused on innovation. The aim of this paper is to explore Generation Z consumers' current perceptions, expectations and recommendations in terms of their future interactions in smart retailing contexts. To do so, we used a qualitative approach by conducting a series of semi-structured in depth interviews with 38 university students-consumers in the UK market. The findings showed that smart technologies have a significant influence on generation Z consumers' experiences. Moreover, this particular group of consumers expects various new devices and electronic processes to be widely available, thus offering consumers more autonomy and faster transactions. In addition, they expect the technology to enable them to make more informed shopping decisions. Interviewees also stressed the importance of training consumers how to use new smart retailing applications. In addition, some of the participants were sceptical about the effects of further advancing smart retailing on part of the job market. Relevant theoretical and practical implications are also provided

This research examines the complex relationship between components of images of destinations and behavioral intentions, incorporating two pivotal constructs that have not been explored in the related literature, namely holistic image and personal normative beliefs (PNBs). Previous studies incorporating destination images as predictors of intention to revisit have mostly investigated their direct effect. This research integrates holistic image as a mediator and PNBs as a moderating variable. The findings verify the mediating role of holistic image for predicting tourists’ intentions to revisit a destination, supporting a model that incorporates a partial effect and two indirect mediations. Interestingly, only affective and conative images contribute to the prediction of tourists’ intentions to revisit a destination through the holistic image towards this destination. Moreover, PNBs moderate the effect that conative destination images have on tourists’ holistic images. Practically, the research sheds light to factors that affect tourists' tendency to select a tourism destination, which can serve as a basis for tailoring the effective positioning of destinations

Limited evidence suggests that the incorporation of both image components (cognitive, affective, and conative) and holistic image is meaningful for predicting tourists' revisit intentions. Extending this line of research, the present study aims to unravel the relative influence that each component of image has directly and indirectly, via holistic image, on revisit intentions. In doing so, we incorporate two national samples (British and Russians) of diverse tourist profile and significantly different levels of visitation frequency to investigate place attachment as a moderator. Evidence from 1362 British and 1164 Russian tourists indicated that all image components have a positive indirect effect on revisit intention via holistic image, while conative has also a direct one. As expected, the image components rank differently for British and Russian tourists. The indirect effects of destination images on revisit intention, except conative, are conditional and, interestingly, most of these are stronger for tourists with low PA

Past literature argued that the purchase of luxury goods is driven by people's motivation to conform or fit into our economic and social system. In this study, the authors focus on a new aspect of consumption, that is, renting instead of purchasing luxury goods, backed by the emerging opportunities of sharing economy platforms. Drawing upon the analysis of spontaneous consumers' online communications(in the form of tweets), this study aims to investigate the motivations to engage with luxury garment renting within a collaborative consumption context. To this end, a series of automatic content analyses, via two studies, were conducted using the tweets posted with respect to the Run the Runway collaborative consumption platform. Results demonstrate consumers' increased willingness to show their social status through renting rather than owning luxurious apparel based on five main motivators (need to wear new clothes for a special event, inspirations created by the products/brands, possibility to explore a new way of consuming luxury goods, need to make more sustainable choices, and to increase the life cycle of each luxury product). The implications of these findings are discussed, while they pave the way for future research in collaborative consumption of luxury retailing.

Purpose Dynamic, volatile, and time-sensitive industries, such as tourism, travel and hospitality require agility and market intelligence to create value and achieve competitive advantage. The aim of the current study is to examine the influence of big data (BD) on the performance of service organizations and to probe for a deeper understanding of implementing BD, based on available technologies. Design/methodology/approach An ethnographic study was conducted following an abductive approach. A primary qualitative research scheme was used with 35 information technology and database professionals participating in five online focus groups of seven participants each. Analytical themes were developed simultaneously with the literature being revisited throughout the study to ultimately create sets of common themes and dimensions. Findings BD can help organizations build agility, especially within dynamic industries, to better predict customer behavioral patterns and make tailor-made propositions from the BD. An integrated BD-specific framework is proposed to address value according to the dimensions of need, value, time and utility. Research limitations/implications Little research exists on the key drivers of BD use for dynamic, real-time and agile businesses. This research adds to the developing literature on BD applications to support organizational decision-making and business performance in the tourism industry. Originality/value This study responds to scholars’ recent calls for more empirical research with contextual understanding of the use of BD to add value in marketing intelligence within business ecosystems. It delineates factors contributing to BD value creation and explores the impacts on the respective service encounters.