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Internet + and Electronic Business in China is a comprehensive resource that provides insight and analysis into E-commerce in China and how it has revolutionized and continues to revolutionize business and society. Split into four distinct sections, the book first lays out the theoretical foundations and fundamental concepts of E-Business before moving on to look at internet+ innovation models and their applications in different industries such as agriculture, finance and commerce. The book then provides a comprehensive analysis of E-business platforms and their applications in China before finishing with four comprehensive case studies of major E-business projects, providing readers with successful examples of implementing E-Business entrepreneurship projects.

Internet + and Electronic Business in China is a comprehensive resource that provides insights and analysis into how E-commerce has revolutionized and continues to revolutionize business and society in China.

The purpose of this study is to investigate the influence of the ownership of institutional shareholders, the proportion of non-executive members, the percentage of ownership of major shareholders, the duality of the tasks of chief executive officer and chairman of the board of director, financial leverage, the amount of the remuneration of the board of director, the company’s life and the amount of export on internet financial reporting.

For this purpose, the authors surveyed the 301 listed companies on Tehran Stock Exchange in 2015. The statistical method used to test the hypothesis of the study was cross-sectional data.

The results indicate the negative impact of ratio of non-executive members and the positive impact of financial leverage, size, liquidity and the life of the company in stock, over internet financial reporting.

The current study is almost the first study which is conducted in a developing country, and the results may helpful to the other developing nations.

A structural equation model is proposed to explain internet reporting by banks. The model relates three constructs of financial institutions (size, financial performance, and internet visibility) to their final influence on internet information disclosure (e‐transparency).

This paper's proposed model analyses a sample of Spanish financial institutions using publicly available data. The model is tested using partial least squares.

A positive and statistically significant relationship has been found between size, financial performance, internet visibility, and e‐transparency, with direct and indirect effects. The study shows that size accounts for most of the variance. Size has a positive effect on e‐transparency, financial performance, and internet visibility. However, the direct effect of financial performance and internet visibility on e‐transparency is small.

The researchers have analysed only one year of data from one country and one sector. The direction of cause and effect assumed in the model is a logical one, but statistical methods cannot prove causality, only association. Even though any bank can disclose its financial information online for a very low cost, building a robust, interactive web site requires major resources. This gives larger banks a value added advantage.

The paper examines the relationship between size, financial performance, internet visibility and e‐transparency using a structural model. Although structural models are commonly used in many scientific disciplines, they have not yet been applied in disclosure research.

The purpose of this paper is to ensure the sustainability of the competitive advantages of internet financial enterprises. In recent years, driven by the two wheels of financial market and information technology, the internet finance has experienced an extremely rapid development.

Based on the performance expectation, effort expectation, social influence and purchase intention of UTAUT model, an empirical examination was conducted. Specifically, the authors made the user purchasing behavior as the dependent variable and added some new factors such as perceived risk, individual innovation and product cognition as the independent variables in the model, and they also added user gender and experience as regulated variables, so as to study the impact factors that affect the purchasing behavior. In addition, the authors also studied the impact of social network friend recommendations on consumers’ willingness to purchase.

The research results showed that effort expectation, performance expectancy, effort expectancy, purchase intention, awareness and individual innovation have a positive effect on the behavior of buying financial products, whereas the perceived risk has a negative effect on the behavior of buying internet financial products. Additionally, in the context of social networking, social network friend recommendations have a positive impact on consumers’ willingness to purchase.

This paper is based on the integrated technology acceptance model, which makes the user purchasing behavior as the dependent variable and adds some new factors such as perceived risk, individual innovation and product cognition as the independent variables. However, the research on recommendation between social network friends is not deep enough, so further improvement is needed.

This study can enrich the existing theories on the interpretation of the intention of using internet financial products, help internet financial enterprises understand user behavior and demands better, and improve service quality and customer satisfaction.

This study provides an empirical examination of UTAUT model and social network analysis.

The purpose of this paper is to investigate whether the voluntary financial and environmental disclosures through the internet can be explained by the same determinants as in conventional reporting. Specifically, this paper examines the relationship between the extent of financial and environmental disclosures on the internet and six variables, namely, ethnicity of chief executive officer (CEO), leverage, level of technology, existence of dominant personalities, profitability, and firm size.

Six hypotheses were tested using data collected from 201 Malaysian listed companies on the Bursa Malaysia's Main and Second Boards for the financial year 2005. A regression model is utilized to analyze the results of this paper and this is in tandem with the previous studies.

The results indicate that level of technology, ethnicity of CEO and firm size are determinants of both internet financial and environmental disclosures. However, the existence of a dominant personality is found to negatively affect the level of financial disclosures but not environmental disclosures. The other variables did not show any significant relationship with either financial or environmental disclosures.

This paper investigates whether internet financial and environmental disclosures can be explained by the same determinants used in other similar studies. The results indicate that only level of technology, ethnicity of CEO and firm size are found to be significant for both internet financial and environmental disclosures.

To identify and analyze the occurrence of Internet financial market risk, data mining technology is combined with deep learning to process and analyze. The market risk management of the Internet is to improve the management level of Internet financial risk, improve the policy of Internet financial supervision and promote the healthy development of Internet finance.

In this exploration, data mining technology is combined with deep learning to mine the Internet financial data, warn the potential risks in the market and provide targeted risk management measures. Therefore, in this article, to improve the application ability of data mining in dealing with Internet financial risk management, the radial basis function (RBF) neural network algorithm optimized by ant colony optimization (ACO) is proposed.

The results show that the actual error of the ACO optimized RBF neural network is 0.249, which is 0.149 different from the target error, indicating that the optimized algorithm can make the calculation results more accurate. The fitting results of the RBF neural network and ACO optimized RBF neural network for nonlinear function are compared. Compared with the performance of other algorithms, the error of ACO optimized RBF neural network is 0.249, the running time is 2.212 s, and the number of iterations is 36, which is far less than the actual results of the other two algorithms.

The optimized algorithm has a better spatial mapping and generalization ability and can get higher accuracy in short-term training. Therefore, the ACO optimized RBF neural network algorithm designed in this exploration has a high accuracy for the prediction of Internet financial market risk.

This study aims to provide an in-depth understanding of investors’ cognition and decision-making process with regard to internet financial products. The objective is to effectively guide users’ rational investments.

First, based on grounded theory, this study develops a tool for measuring users’ perceived value (PV) of internet financial products via in-depth interviews. Then, after comprehensively considering users’ environmental, individual and psychological characteristics, this study proposes a theoretical model of internet financial product investment decisions based on the PV of users. Finally, an empirical study is conducted on 693 valid sample data from e-commerce and online banking financial platforms.

The empirical results suggest that network externalities influence users’ financial behavior by herding (HE) (imitating others and discounting their own information) and PV. PV and HE are key factors in users’ investment decisions with regard to internet financial products. Moreover, users’ self-efficacy (SE) and platform type play moderate roles in the influence mechanism.

The research conclusions provide valuable references for designing financial products and establishing regulatory rules, which will help the internet financial industry to grow soundly and innovatively.

This study uncovers the mediating effect of HE and PV between network externalities and users’ investment intentions in the context of internet financial products. In addition, the moderating effect of users’ SE and platform types is revealed.

The purpose of this study is to investigate empirically factors influencing Kuwaiti companies to disseminate their financial reports on the Internet. A regression model is estimated using logit analysis for a sample of 179 Kuwaiti companies listed on the Kuwait Stock Exchange for 2007 to test the hypotheses of the study. The study’s results indicate that an Internet financial report is significantly influenced by the auditor type, company size and industry type. The results, however, do not provide evidence of a significant relation between Internet financial reports and any of the corporate governance attributes that were examined in this study.

The present study seeks to paint the current state of voluntary disclosure of internet financial reporting (IFR) in Bangladesh as an example of an emerging economy and to investigate empirically some company characteristics as determinants of such practice.

Using a sample of 83 listed companies in Bangladesh in the year 2009 and the disclosure index of Deller et al., Marston, Xiao et al. and Marston and Polei and comments from the users and investors of Bangladesh, the study employs statistical analysis to investigate the association between a number of company characteristics and the extent of voluntary disclosure of IFR.

The findings revealed that only 29.12 percent (83) companies had web sites out of the 285 listed companies and only 33.34 percent (28) companies' provided financial information. Out of seven variables, only big audit firms and non‐family ownership variables were significantly associated with the levels of voluntary disclosure. Another important result revealed that despite the mandatory requirements of having audit committee in Bangladesh, the companies without the audit committee were disclosing voluntary information more and it raised the question on the lack of regulatory enforcement in Bangladesh.

The scope of this study is limited to a single country; it would be interesting to replicate this study to a group of emerging countries which have many similarities to the Bangladesh environment.

To the best of the authors' knowledge, no studies have been conducted on IFR in a South Asian emerging country, in particular Bangladesh. The study also is the first of its kind to examine the whole population of a period in any country which enhances contribution to IFR literature. Unlike the prior studies conducted in emerging countries, the study contributes not only to the present state of IFR by the listed companies in Bangladesh but also the connectivity problem between the dream and reality of the digital Bangladesh concept. The study also finds that the companies' IFR practices are not influenced by “Digital Bangladesh” concept.

The criminalization of online financial fraud is examined by analyzing the existing literature, policies and state statutes within the context of the cybercrime ecosystem. Therefore, this paper aims to investigate online fraud policies within the USA and the prevalence of such incidents to explore the effectiveness of current fraud policies.

This examination explores policies related to online fraud within the USA by defining online financial fraud incidents within the context of the cybercrime ecosystem and analyzing such incidents with routine activities theory to emphasize the current legislative inadequacies with provisional policy recommendations.

This research suggests online financial fraud is not unanimously conceptualized among regulating or criminal institutions. Although federal regulators have governed financial institutions, federal institutions have failed to account for the capabilities of computer-mediated and technological device use (12 USC §1829).

The limited research analyzing the effectiveness of guardianship that prevents or deters internet-mitigated or dependent financial fraud crimes.

Policy recommendations include but are not limited to mandating federal and privatized financial institutions to disclose all fraudulent activity to all stakeholders (e.g. customers and local and federal criminal justice agencies).

This paper provides an innovative approach using a criminological theory and policy framework to examine the prevalence of online fraud and the regulations enacted to counteract such violations.