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A new round of technological revolution is impacting various aspects of society. However, the importance of technology adoption in fostering firm innovation is underexplored. Therefore, this study aims to investigate whether robot adoption affects technological innovation and how human capital plays a role in this relationship in the era of circular economy.

Based on the robot adoption data from the International Federation of Robotics (IFR) and panel data of China's listed manufacturing firms from 2011 to 2020, this study uses regression models to test the impact of industrial robots on firm innovation and the mediating role of human capital.

The results demonstrate that the adoption of industrial robots can significantly promote high-quality innovation. Specifically, a one-unit increase in the number of robots per 100 employees is associated with a 13.52% increase in the number of invention patent applications in the following year. The mechanism tests show that industrial robots drive firm innovation by accumulating more highly educated workers and allocating more workers to R&D jobs. The findings are more significant for firms in industries with low market concentration, in labor-intensive industries and in regions with a shortage of high-end talent.

Due to data limitations, the sample of this study is limited to listed manufacturing firms, so the impact of industrial robots on promoting innovation may be underestimated. In addition, this study cannot observe the dynamic process of human capital management by firms after adopting robots.

The Chinese government should continue to promote the intelligent upgrading of the manufacturing industry and facilitate the promotion of robots in innovation. This implication can also be applied to developing countries that hope to learn from China's experience. In addition, this study emphasizes the role of human capital in the innovation-promoting process of robots. This highlights the importance of firms to strengthen employee education and training.

The adoption of industrial robots has profoundly influenced the production and lifestyle of human society. This study finds that the adoption of robots contributes to firm innovation, which helps people gain a deeper understanding of the positive impacts brought about by industrial intelligence.

By exploring the impact of industrial robots on firm innovation, this study offers crucial evidence at the firm level to comprehend the economic implications of robot adoption based on circular economy and human perspectives. Moreover, this study reveals that human capital is an important factor in how industrial robots affect firm innovation, providing an important complement to previous studies.

The purpose of this paper is to explore Chinese consumers’ perceptions in relation to both Chinese traditional and European food.

A web-based free word association test was administered to 302 consumers in China. They were asked to give the first three words that came into their minds when they were presented with each of two stimulus words, “traditional food” and “European food”. Three researchers grouped the elicited words into classes and then into dimensions. χ² association tests were used to assess and identify statistically significant differences in the frequencies of classes and dimensions for the two food concepts between socio-demographic groups.

The findings show that Chinese consumers define Chinese traditional food and European food through ten similar dimensions: Sensory appeal, Health, Origin, Marketing, Safety, Variety, Heritage, Symbolic meaning, Simplicity and Mood. Additionally, they associate Chinese traditional food with the dimensions Elaboration, Celebration and Habit, as well as link European food to the dimensions Convenience and New. Although ten dimensions are the same, obvious differences can be identified by comparing the classes for the two food concepts. Further, there are significant differences in the class associations for European food between age groups and in the dimension associations for Chinese traditional food between gender groups.

By using an online qualitative research method, this study is one of the first to address how Chinese consumers define both European food and their own traditional food in China, the largest East Asian country. The findings are particularly useful for the future development of traditional food products and for the future export of European food products onto China and even other countries in East Asia.

The purpose of current systematic literature review (SLR) is to propose 1) theoretical perspectives which may be adopted in future research to explain the antecedents and outcomes of bottom-line mentality (BLM); 2) social environmental factors which may be responsible for provoking employees’ BLM and 3) buffering variables which can curtail the negative outcomes of BLM.

We searched Google Scholar and Scopus database and looked for keywords “bottomline mentality” OR “BLM” OR “bottom line mentality” in the title, abstract and keywords. This study systematically reviewed 87 articles that have empirically examined BLM phenomenon.

Certain theoretical perspectives (i.e. social information processing theory, social exchange and social-cognitive theories) have been overly utilized to explain the phenomenon of BLM. Second, we identified the person, supervisor and organization-related antecedents leading to the development of BLM. Third, we found that BLM was positively related to certain employee behaviors (i.e. knowledge hiding, unethical behavior, social undermining) and negatively related to other behaviors (i.e. helping behavior and innovative work behaviors).

The current review is the first to propose buffering variables which may likely curtail the negative effects of BLM.