We analyze the smartphone usage behavior of individuals against the background of the spread of the coronavirus disease (COVID-19) to classify usage behaviors and examine the factors that lead to change. Specifically, we examine the differences in smartphone usage between the first wave and the second wave of the epidemic in Japan. On average, the frequency of use increased, especially during the first wave of the epidemic. Next, we classify the changes in usage behavior and examine the differences between individuals whose smartphone usage time increased and those whose usage time decreased. Our analysis using personal characteristics as explanatory variables suggests that demographic variables may explain behavioral changes. We were able to classify the factors into three categories: positive factors that promote an increase in usage time, negative factors that promote a decrease, and variation factors that promote fluctuations.

Purpose The purpose of this paper is to examine the driving factors of user innovation behaviors using the case of smartphone applications to estimate the indirect and direct effects of consumers’ attitudes toward user-generated content (UGC). Design/methodology/approach This study proposes a structural model to examine the relationship between user innovation behaviors toward UGC and three attitude factors: involvement, consumer knowledge and customer orientation. The empirical analysis is based on a consumer survey that examines the commonalities and differences between Japan and China. In each country, two social media services are chosen as representative cases of the UGC business model to measure user innovation behaviors toward the quality and quantity aspects. Findings Customer orientation is the most significant driving factor of user innovation behaviors toward UGC. It positively affects both the number of followers and the frequency of information transmissions. In particular, for the quality dimension of user innovation, customer orientation has a more significant effect on the number of followers than does familiarity. Originality/value This study emphasizes the quality aspect of user innovation. Previous research has focused on the quantity of user innovation behaviors by measuring the amount of information. However, this research measures both the quality and the quantity aspects with the number of followers and the frequency of uploading content. The findings of this study suggest that companies should maintain relationships with highly customer-oriented users to manage content quality.

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Abstract:The relationship between innovation and consumption among internet users is not uniform. This research shows different relationships between innovation and consumption in terms of the level of involvement in music from an internet survey of 1,000 music users. We measure the level of involvement in music using the two levels of components of involvement suggested by Lastovicka and Gardner (1979). For the analysis, we divide the samples into the "high involvement" and "low involvement" groups and examine each group for their relationship between innovation, indicated by "making one's own music and posting one's songs or performances on the internet," and consumption, indicated by "average amount of money spent on music downloads per year." The results show that there are heterogeneous characteristics among high and low levels of involvement groups in the aspects of consumption and innovation behavior. In the low involvement group, users actively innovating are also actively consuming. However, in the high involvement group, there is no clear relationship between innovation and consumption. To put it concretely, the consumption per innovating user is approximately a) Faculty of Business Administration, Toyo University, 5-28-20 Hakusan, Bunkyo-ku, Tokyo, Japan, boruporo@hotmail.com b) Faculty of Economics, Nagasaki University, 4-2-1 Katafuchi, Nagasaki-shi, Nagasaki, Japan, katsumat@nagasaki-u.ac.jp A version of this paper was presented at the ABAS Conference 2013 Winter (Ichikohji & Katsumata, 2013). 13 (2014) Annals of Business Administrative Science 18four times more than that of non-innovating users in the low involvement group, but it is about the same in the high involvement group. In addition, the consumption per innovating user in the low involvement group is approximately two times more than that of innovating users in the high involvement group.

This study investigates whether small- and medium-sized enterprises (SMEs) under family influence (FI) can achieve business model innovation (BMI) through dynamic capabilities (DCs) as promoted by prior research. Overall, 259 small and medium-sized family firms in Southeastern China were examined and analysed using the partial least squares structural equation modelling (PLS-SEM) method. The findings showed a direct negative link between FI-DCs (sensing, seizing, and transforming capabilities), sensing capabilities—value capture, transforming capabilities—value proposition/value creation, and a positive link between seizing capabilities—value creation. Additionally, the negative moderation effect of environment dynamism was found between sensing capabilities—value capture, seizing capabilities—value creation, and transforming capabilities—value proposition. This research provides various new insights for practitioners and researchers in small and medium-sized family firms to achieve BMI through DCs. It develops an empirical, multi-dimensional hypothetical model from a micro perspective that includes the moderating role of the influencing relationship.