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

No abstract

Purpose-This study develops the idea of smart retailing, exemplified in innovative, technology-enriched retail services as part of service-oriented strategies. In particular, the aim is to provide a new integrated framework to understand the emerging retail scenario based on the smart usage of technologies to improve retail service and develop innovation management strategies. This framework will provide a comprehensive understanding the basic forms of smart retailing as the current competitive scenario.Design/ Methodology/approach-As a viewpoint, this paper employs an interdisciplinary approach, drawing upon the actual challenges in retailing, to propose a new perspective, the smart retailing one, to describe the new competitive scenario and formulates an emerging research agenda.Findings-The present paper contributes to research on innovation and technology management for retailing by examining the key dimensions of smart retailing, which aims to enhancing retail service quality and retailers' performance.Originality-The paper explains how current retailing is moving to a smart perspective, and how retail management should be adapted to successfully perform in the current servicedominant logic scenario, as a consequence of increasing consumer involvement in service coproduction and the rapid growth of digital technologies.2

Full bibliographic details must be given when referring to, or quoting from full items including the author's name, the title of the work, publication details where relevant (place, publisher, date), pagination, and for theses or dissertations the awarding institution, the degree type awarded, and the date of the award.

The originality of the present study lies in that it examines generation Z residents' engagement with the city's social media during economic crisis in relation to city image, city brand personality and residents' overall satisfaction. In order to test our hypotheses, 947 usable questionnaires were collected in Thessaloniki, Greece via the mall intercept technique. The findings reveal the significant impact city image and city brand personality have on generation Z residents' engagement with city's social media. The results also demonstrate a negative linkage between residents' overall satisfaction and their engagement with the city's social media. Lastly, the results support that the relationship between residents' overall satisfaction and their engagement with city's social media accounts is moderated by the effect of economic crisis on residents' personal daily routine. Implications for theory and practice are also discussed.

The increasing amount of user-generated content spread via social networking services such as reviews, comments, and past experiences, has made a great deal of information available. Tourists can access this information to support their decision making process. This information is freely accessible online and generates so-called “open data”. While many studies have investigated the effect of online reviews on tourists’ decisions, none have directly investigated the extent to which open data analyses might predict tourists’ response to a certain destination. To this end, our study contributes to the process of predicting tourists’ future preferences via MathematicaTM, , software that analyzes a large set of the open data (i.e. tourists reviews) that is freely available on Tripadvisor. This is devised by generating the classification function and the best model for predicting the destination tourists would potentially select. The implications for the tourist industry are discussed in terms of research and practice

Full bibliographic details must be given when referring to, or quoting from full items including the author's name, the title of the work, publication details where relevant (place, publisher, date), pagination, and for theses or dissertations the awarding institution, the degree type awarded, and the date of the award.

This paper investigates service quality, customer satisfaction, and loyalty in Airbnb accommodation. A self‐administered questionnaire was distributed to a nonprobability sample of 202 international tourists in Phuket, Thailand, which is one of the top tourist destinations worldwide. The results verify that a positive relationship among service quality, customer satisfaction, and loyalty exists and that satisfaction partially mediates the relationship between service quality and loyalty. Furthermore, the paper suggests key steps managers could take to enhance customer experience in a way that would benefit the lodging industry and the destinations.