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Nowadays, social networks are daily used to share what people like, feel, where they travel to, etc. This huge amount of data can say a lot about their personality because it may reect their behaviour from the “real world” to the “virtual world”. Once obtained the access to this data, some authors have tried to infer the personality of the individual without the use of long questionnaires, only working with data in an implicit way, that is, transparently to the user. In this scenario, our work is focused on predicting one of the human personality traits, the Curiosity. In this paper, we analyse the information that can be extracted from the users’ profile on Facebook and the set of features that can be used to describe their degree of curiosity. Finally, we use these data to generate several prediction models. The best generated model is able to predict the degree of curiosity with an accuracy of 87%.

Innovative behaviour and its antecedents attracted research interest recently. To address this need, the researcher draws on State-Trait Curiosity Inventory and self-determination theory to examine the impacts of work-related curiosity (WRC) and employee absorptive capacity on innovative employee behaviour. The mediating variable of employee absorptive capacity (EAC) was examined. Data was collected and analysed from 292 full-time employees who are working within the service sector in Jordan. The outputs from smart partial least square SmartPLS analysis reveal that WRC effects EAC, which consequently affects innovative employee behaviour. Surprisingly, supportive leadership behaviour was found to play a moderating role in the relationship between WRC and EAC, but it has an inverse effect. These findings provide managers knowledge on how to enhance innovative employee behaviours by encouraging employee curiosity and absorptive capacity.

Purpose: This study explores the applications of the UTAUT model in the users’ intention to use mobile banking in the context of Vietnam. We also extend the applicability of UTAUT with two new concepts of curiosity and self-esteem in the users’ intention to use mobile banking. Design/methodology/approach: The paper uses the survey-based methodology and SEM analysis technique with the sample collected in Vietnam. Findings: Our data support three hypotheses of the influence of ease of use, facilitating conditions, and curiosity on the intention to use mobile banking. It does not support two hypotheses of the impact of perceived benefits and social influence on the intention to use mobile banking. Additionally, the findings show contradicting results compared with our hypothesis in that the data indicate self-esteem negatively impacts the intention to use mobile banking. Originality: We contribute to the flexibility in applications of the current technology acceptance theories with the UTAUT model. We also extend the theories with two new indicators of curiosity and self-esteem, elements of psychology and personality domains. It proves the logic behind the effects of curiosity and self-esteem: the more curiosity people have, the more likely they will try new things to explore, while the more self-esteem people have, the less likely they will try new things like mobile banking. The implications and future research are also suggested in our paper.

This study explores the relationships between leaders’ curiosity and the intention to introduce Internet of Things (IoT)-based products (or product innovation); and the moderating role of different moderators on the above relationships. The chapter uses the survey-based methodology and scanning electron microscope (SEM) analysis technique with the sample collected in Vietnam. The findings show that there is a positive impact of the curiosity of leaders on the intention to introduce IoT-based products at firms and the effects of different variables negatively moderating the above relationships. Accordingly, people with more curiosity may lead them to accelerate the innovation to introduce IoT-based products at firms. Our study is one of the first to demonstrate the impact of leaders’ characteristics in driving IoT adoption and, more broadly, innovation at companies. The second theoretical contribution is our research findings have introduced two new moderating variables for business research on the impact of personal traits of leaders on innovation (in the case of IoT-based products). The implications of this research are also presented.