Through advancing in information and communications technology, Smart Cities provide many potential advantages like improved energy efficiency, new economic opportunities and management methods, however the information security in the top-level design of building a quite efficient smart city is easy to be ignored and caused a huge economic losses for citizens. We focus on mining information risks of smart city from the perspective of system, identifying the key risks and determining the importance of each factor, in order to measure the risk accurately. This paper presents a failure mode and effects analysis (FMEA) method to analyze five dimensions of the information security of smart city, and assess the risks on the basis of the fuzzy set theory and the grey relational theory. Due to the problem is the risk assessment of multi-dimension for an organization information security, we present a decision model that provides an efficient framework for calculating the value of risk assessment. The results indicate that aspects of the highest importance of the information security risk of smart city are the threats in natural, contrived and physical aspects, followed by the lack of public security education and training. Through the analysis we can find out the relationship between the failure modes and the overall situation of the system, then it can distinguish the main factors which play a driving role, and the secondary factors which have less impact on the system. According to the assessment results, some suggestions are put forward to guarantee the information security of smart city. The practical application of fuzzy and grey FMEA proposed in this paper helps enhance the reliability of the prediction, and the ranking of risk factors can be used for better decision-making concerning taking measures, which in turn will make smart city safer.

Financial performance is an indicator of the financial stability and the health of a firm. It is a measure of how well a firm uses its assets to generate revenues, a firm’s credibility, and its ability to pay off debts. To study the theoretical development, empirical examinations, and growing trend of financial performance research, this study reviewed the financial performance literature based on 875 journal articles sourced from the Web of Science, ACM, and Scopus databases from 2005 to 2019. To carry out the review, we applied Cite Space and Ucinet software for visualization and social network analysis, statistical analysis, co-occurrence analysis, and other research methods. We obtained a panoramic depiction of the posts, authors, journals, and keywords, and also reviewed financial performance using the field of knowledge maps. Accordingly, this study highlighted the recent and future research trends, and found that corporate social responsibility, and the green and sustainable corporate environment are potential research areas. These findings, through the combination of bibliometric methods and a systematic review, provide a better understanding of the development of corporate financial performance for both researchers and practitioners.

With the advance of 5G communication technologies and Internet+ strategy, mobile commerce has experienced rapid growth and needs urgent attention from researchers. It is the aim of this article to analyze the literature on mobile commerce to address the following question: With the wide application of artificial intelligence and big data, what are the latest technology, models and problems in the background of the new era that researchers and practitioners need to understand in order to grasp the research frontier in this field quickly? Therefore, to achieve these objectives, this paper reviews 1130 m-commerce articles with 25,502 associated references from the SCI-EXPANDED, SSCI, CPCI-S, CPCI-SSH database and develops a framework of m-commerce value by analyzing the most influential authors, institutions, countries, journals and keywords in m-commerce. We apply three types of knowledge mapping to our study—cluster view, timezone view and timeline view. Frequency statistics, clustering coefficient as well as centrality calculation are employed to analyze by CiteSpace. We use the strength of citation bursts to analyze keywords and put result into the I-Modelwhich provide an important framework for classifying m-commerce activities and theories. In this study, we explore the knowledge structure, development and the future trend of mobile commerce for researchers. We identify the main technology and models to improve customer satisfaction and adoption behavior in the background of the new era which provide decision support for practitioners. Compared with the existing literature reviews of mobile commerce, we make a set of knowledge maps to show the future trend of mobile commerce and analyze visual results based on I-model. It is the first study to present the major clusters to reveal their associated intellectual bases and research fronts.

Higher education institutions (HEIs) are the key to the economic and social development of a country. However, the recent advancements of higher education institutions’ universities in China have become a pivotal factor contributing to their swift growth. Considering the impact of the external environment, applying a three-stage data-envelopment analysis (DEA) and the Malmquist index method, we evaluated the static and dynamic efficiency of input–output data of scientific research produced by universities directly under the Ministry of Education in the period of 2010 to 2017. Results showed that the three stage DEA model is more accurate than the traditional DEA method for measuring the efficiency of scientific research input and universities’ output. The overall efficiency of universities’ scientific research activities increased at an average annual rate of 3.7% from 2010 to 2017. Further analysis showed that the optimization of the scale was the primary internal factor able to promote the efficiency of scientific research in universities. Technological progress slightly diminishes the efficiency of scientific research in universities, which should, therefore, take measures to improve pure technical efficiency to enlarge the scale of their scientific research according to the characteristics of scientific research efficiency. Such steps will strengthen internal motivation towards scientific research efficiency in universities.

The advance of “One Belt One Road” initiative and “Internet+” strategy have greatly promoted the development of cross-border e-commerce in the past several years. To gain global competition, the small-and-medium-sized enterprises(SMEs) have focused on the revenues and risk. However, most previous studies have focused on consumer perceived risk, while neglecting the importance of sellers’ risk. It is the aim of this article to address the following question: With growing customer requirement in global marketing competition, customer requirement plays an important role in the successful design of SMEs risk mitigation solution as SMEs’s performance is highly determined by customer satisfaction in the customer-oriented market. How to identify the most important risk factor of cross-border e-commerce SMEs based on influence of consumer requirements? Therefore, to balance the mutual interests in cross-border e-commerce online transactions. In order to achieve these objectives. We analyse cross-border e-commerce SMEs’ risk factor and develop a hybrid method for risk evaluation and ranking, named Kano-fuzzy-DEMATEL. This new method offers a more accurate way to calculate the degree of relation among each risk factor considering the influence of consumer requirements and deal with uncertain information on risk evaluation, as to determine the risk priority for cross-border e-commerce SMEs. The ranking of risk factors can provide basis for decision-making and improve the accuracy of prediction. We supplement existing e-commerce research to assess the overall risk factors from the seller’s perspective based on the customer requirement. The study can provide comprehensive insights to mitigate risk.