The “innovation-driven” development approach plays a crucial role in transforming and developing current China’s national economy. Many innovation-driven mergers and acquisitions (M&As) emerge in the M&As activities of firms, and the acquiring firm’s business strategy of conducting innovation-driven M&As has drawn significant attention. To study the impact of business strategy on innovation-driven M&As, this paper adopts the probit model to conduct logistic regression analysis on the 223 M&As data samples, exploring which business strategy is inclined to perform innovation-driven M&As. The results show that prospective firms are more likely to conduct innovation-driven M&As. Besides, the firms that conduct prospective business strategies are more likely to have a higher innovation level than firms operating defensive business strategies. The innovation level plays the role of a mediator variable in the model of business strategies influencing innovation-driven M&As. This paper analyzes the innovation-driven motivation from the perspective of business strategy, enriching the research of M&A and offering a method to predict the possibility of innovation-driven M&A by measuring business strategy.

Taking international LIS journals as an example, combining 8 traditional citation indicators and 10 altmetrics indicators, we use the method of multi‐indicator fusion to construct a comprehensive evaluation model of journal impact based on traditional citation indicators and altmetrics indicators. Through normalization processing, correlation analysis, reliability analysis, validity analysis, factor analysis, the paper evaluates the academic impact (FA), societal impact (FS) of LIS journals respectively. We get the following conclusion: (1) We get the 2‐dimensional evaluation results and according to LIS journals impacts, we divide the roles into four categories: “Prestige journals”, “Star journals”, “Common journals” and “Expert journals”. (2) It is found that 8 traditional citation indicators based on JCR, present strong positive correlations, and the indicators are highly consistent overall and internally. (3) There are moderate or high positive correlations among 10 altmetrics based on Altmetrics Explorer, and there are also significant consistency among the indicators as a whole and internally. (4) The correlation coefficient between FA and FS is 0.566, with a moderate positive correlation. It indicates that the evaluation of LIS journals' societal impact based on altmetrics indicators has a useful supplement to the evaluation of academic impact based on citation.

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The COVID-19 (2019 novel Coronavirus) is the most widespread pandemic infectious disease encountered in human history. Its economic losses and the number of countries involved rank first in the history of human viruses. After the outbreak, researchers in the field of medicine quickly carried out scientific research on the virus. Through a visual analysis of relevant scientific research papers from January 1st to April 1st, 2020, we can grasp the worldwide scientific research cooperation situation of 2019-nCoV research and reflect the international collaboration in combating the pandemic. To this end, 415 papers indexed in Thomson Reuters's Web of Science were studied to provide a visualized description of scientific collaborations across the world by multiple levels, including author level, journal level, institution level and country level.