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The purpose of the study is to explore the effects of two dimensions of perceived risk (functional and emotional risk) on two types of consumer information search (ongoing and pre-purchase search) in the context of innovative products and services and examine the moderating effect of innate consumer innovativeness.

The findings in this study are generated with a quantitative design using a multiple linear regression model and a residual centering method on data-collected survey responses related to tablet PC adoption in an online community and laboratory experiment on online bike-renting services.

The results show that functional and emotional risks influence on-going and pre-purchase search differently in innovative products and services context. On the one hand, functional risk affects on-going search negatively, whereas emotional risk affects on-going search positively; on the other hand, the effect of functional risk on pre-purchase search is not significant, and the effect of emotional risk on pre-purchase search is positive. Furthermore, these relationships are moderated by innate consumer innovativeness. For on-going search, consumer innovativeness moderates the negative effect of functional risk negatively and moderates the positive effect of emotional risk positively; for pre-purchase search, consumer innovativeness moderates the positive effect of emotional risk negatively on pre-purchase search.

Unlike established products and services, innovative products and services possess some elements that are unfamiliar to consumers. Companies typically pre-release innovative products and services long before officially launching them in the market, enabling consumers to assess potential risks and seek information in advance, thereby priming the market. Since innovative products and services are becoming more ubiquitous, research on the impact of perceived risk on information search is crucial for marketers. The present work is designed to be the first to consider the effects of two dimensions of perceived risk (functional and emotional risk) on two types of consumer information search (ongoing and pre-purchase search) and the moderating effect of innate consumer innovativeness. The present research is, therefore, intended to make contributions to the literature on perceived risk, information search and innovation management.

To investigate the psychological mechanism of observational learning in the online retailing context, the purpose of this paper is to show how the psychological distance between consumers and products affects modes of observational learning.

Five experimental studies are conducted to test the hypotheses.

The findings show that which modes of observational learning are adopted by consumers is affected by consumers’ psychological distance. Specifically, when the psychological distance between consumers and products is proximal, consumers tend to adopt the termed adequate observational learning mode by considering the interaction of information about popularity and the breadth of appeal of a product to make purchase. However, when the psychological distance is distal, consumers would consider information of popularity and breadth of appeal separately without considering the interaction, termed as inadequate observational learning mode. The observed relationship between psychological distance and observational learning mode could be explained by the construal level.

This research advances the observational learning and psychological distance literature by investigating the psychological mechanism behind observational learning modes. Limitations include the use of scenario-based experiments to test the hypotheses, investigation of a single product attribute (i.e. breadth of appeal) and assessment of popularity information by sales volume alone.

The current research provides a deeper understanding of consumer observational learning modes, which can help online retailers to develop effective product strategies and marketing tactics and, finally, achieve stronger competitive positions.

The present research contributes to the literature by examining the psychological mechanism involved in observational learning. This research distinguishes adequate and inadequate observational learning modes from the perspective of psychological distance.

The purpose of this study is to reveal the research trends in guest experiences of service robots in the hospitality industry.

In this study, a review was carried out on the Web of Science (WoS) database with the assistance of bibliometric analysis techniques. Cluster analysis was also employed for this to group important data to determine the relationships and to visualize the areas in which the studies are concentrated. The thematic content analysis method was used to reveal on which customer experiences and on which methods the focuses were.

On the subject of experiences of service robots, the greatest number of publications was in 2021. In terms of country, China has come to the fore in the distribution of publications. As a result of thematic content analysis, it was determined that the leading factor was the main dimension of emotional experience. In terms of sub-dimensions, social interactions attracted more attention. Most of the studies discussed were not based on any theory. Apart from these, the Technology Acceptance Model (TAM), the Service Quality Model (SERVQUAL) and Perceived Value Theory (PVT) were featured more prominently among other studies.

In this study, only the WoS database was reviewed. In future studies, it would be possible to make contextual comparisons by scanning other databases. In addition to quantitative research designs, social dimensions may be examined in depth following qualitative research methods. Thus, various comparisons can be made on the subject with mixed-method research designs. Experimental research designs can also be applied to where customers have experienced human-robot interactions (HRIs).

In the hospitality industry, it is critical to uncover every dimension of guests' robot acceptance. This study, which presents the current situation on this basis, guides future projections for the development of guest experiences regarding service robots in the hospitality industry.