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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.

Since the construction of China-ASEAN Free Trade Area (CAFTA) launched in 2002, the bilateral trade increased rapidly. The purpose of this paper is to test the competition and cooperation in trade relationships between China and the main trading partners (Singapore, Malaysia and Thailand (SMT)) from ASEAN in international trade under CAFTA.

Grey Lotka-Volterra competition models are established for testing the trade relationships between China and SMT, respectively, based on the data of import and export from 2003 to 2014. To improve modeling accuracy, the interpolated coefficients for dynamic background value are introduced into the grey Lotka-Volterra model. The optimal parameters are solved through minimizing the mean absolute percentage error and the constraint of parameter relationships. Besides, eigenvalues of the Jacobian matrix are adopted to carry out the stability of equilibrium points of the trade relationships.

As the beneficiary party, China has mutual benefit and win-win trade relationship with Singapore, while it has predator-prey trade relationships with Malaysia and Thailand. The future exports from SMT to China will stabilize at 462.31, 598.13 and 447.03 billion dollars, respectively. The future exports from China to SMT will stabilize at 637.16, 943.71 and 827.52 billion dollars, respectively.

This study can be regarded as an important reference for China and its trading partners from ASEAN. The modeling results can help the decision makers to formulate appropriate international trade strategies to gain and maintain competitive advantages.

A new approach to testing the trade relationships is proposed based on grey Lotka-Volterra competition model. The study also proposed a dynamic optimization method for the background value of grey Lotka-Volterra model.

The purpose of this study is to explore the coopetition relationships between platform owners and complementors in complementary product markets. Drawing on the coopetition theory, the authors examined the evolutionary trends of the coopetition relationships between platform owners and complementors and explore the main influence factors.

The authors used Lotka–Volterra model to analyze the coopetition relationship between platform owners and complementors, including the evolutionary trends as well as the results. Considering the feasibility of sample data collection, simulation is used to verify the effects of different factors on the evolution of coopetition relationships.

The results show that there are four possible results of the competition in the complementary products market. That comprises “winner-take-all for platform owners,” “winner-take-all for complementors,” “stable competitive coexistence” and “unstable competitive coexistence,” where “stable competitive coexistence” is the optimal evolutionary state. Moreover, the results of competitive evolution are determined by innovation subjects’ interaction parameters. However, the natural growth rate, the initial market benefits of the two innovators and the overall benefits of the complementary product markets influence the time to reach a steady state.

The study provides new insights into the entry of platform owners into complementary markets, and the findings highlight the fact that in complementary product markets, platform owners and complementors should seek “competitive coexistence” rather than “winner-takes-all.” Moreover, the authors also enrich the coopetition theory by revealing the core factors that influence the evolution of coopetition relationships, which further enhance the analysis of the evolutionary process of coopetition relationships.

This study seeks to examine how the quantitative semantics of the learning curve phenomenon can be employed in order to derive monetary information for team learning observed within knowledge‐intensive production environments.

Software development is selected as an identical example of a team‐based, knowledge‐intensive production environment. The interaction of learning rate of the developer teams and the improvements on their average solving time (i.e. productivity) is modelled as a Lotka‐Volterra predator‐prey interacting populations system establishing a causal relationship between the human capital (HC) of organizational teams and the observed learning curve effects on their performance. In addition, empirical evidence illustrates that the estimated learning rates capture the entire range of team learning effects on performance fluctuations caused by the HC.

The fluctuations on the learning rates can be interpreted as a result of the HC variability across the population of developer teams. Hence, the cost implications of the HC within knowledge‐intensive production environments can be rationalised using the quantitative semantics of the learning curve phenomenon

The learning curve is associated with the cost side of the organizational income‐generating process limiting its potential valuation applications for team learning observed within the context of the production environments.

The study offers a theoretical justification, supported by empirical evidence, for employing the mathematical expression of the learning curve paradigm to rationalize the financial consequences of team learning observed within production environments.

The decomposition method is used for solving differential systems in biology and medicine. A comparison is given between the Runge‐Kutta method and the decomposition technique. New relationships for calculating Adomian’s polynomials are used for solving the differential systems governing the competition between species and based on the Lotka‐Volterra model.

In this Industry 4.0 era, third-party logistics (3PL) industries face huge cost pressure to deliver their service. With increase in competition among the players, constant mergers and acquisitions (M&A) have been taking place to sustain competitive advantage. Therefore, this study aims to investigate the growth dynamics among the 3PL service providers.

In this research, the system dynamics methodology was applied to the study of the growth of 3PL industry in Singapore. A population growth model incorporating the predator–prey interaction is developed to account for growth through M&As among 3PLs and their interaction phenomenon are modeled through modified Lotka–Volterra method. The two-species system model consisting of small and medium logistics service providers (SMLSPs as the prey) and the lead logistics providers (LLPs as the predator) are gauged according to the firm size.

Results from the baseline model indicates that Singapore’s logistics industry looks very optimistic for SMLSPs for another 6 years from 2018, while the LLP population will achieve a peak at about 12 years from 2018. Further sensitivity analysis through macroeconomic and microeconomic changes reveals increase in trend of M&As. By varying competitive pressures between firms, results indicate that the LLP population experiences a decreasing rate of increasing SMLSP population falls.

The research provides guidance for logistics and supply chain managers to better understand the critical factors that impact and determine competitive dynamics. The paper further recommends managers to build sustainable logistics strategies to retain competitive advantages.

The research contributes to both economic and social dimensions of logistics sustainability of how resilient the industries are during uncertain conditions. Some of the limitations of this research include the geographic coverage of the study region and other methodological aspects. The research value thus helps policymakers for developing strategic policies for sustainable industrial growth.

The purpose of this paper is to investigate the effect of inter-platform competition on the adoption of different broadband technologies (i.e. among xDSL, fibre-optic technologies, and hybrid fibre coaxial (HFC)), examine the direction of the effect, and identify potential technology convergence and the speed of technology innovation.

It uses Lotka-Volterra equation to determine the dynamic competition pattern for xDSL, fibre-optic technologies, and HFC.

The influence of inter-platform competition on the adoption rate may vary depending on the market conditions, the phase of the adoption period, and the types of competing technology. Even though new technology has competitive advantage, it still requires time to acquire market share. Even though fibre-optic is leading in the market, alternative technologies have also garnered significant market share in the early stage. Specifically, HFC has gained its own market position, making it a valuable alternative in the short term. Nonetheless, the market will eventually converge to fibre-optics.

The findings show that inter-platform competition does not always exert positive influence on broadband adoption as indicated in previous literature. Instead, the influence may vary from negative to neural. This information is an important knowledge addition to the literature. Overall, the study has important implications to governmental effort in managing market competitions and in planning national broadband infrastructure policies. It also provides valuable implications on how ISPs should strategize their investment in new broadband technologies.

In part 1 of this paper the organisation was modelled as a socio‐cognitive agency with a normative personality, where patterns of behaviour occur through underlying trait control processes, and from which specific behaviours can be predicted. However, prediction is dependent on a stable agency orientation which occurs in normal conditions of homeostatic equilibrium. In post‐normal conditions the immanent dynamics of the agency have the potential to change its orientation leading to a lesser likelihood of predicting behaviour. Using information theory, this paper aims to further develop the model to show how it is possible to predict behaviour in post‐normal conditions. It also aims to consider the nature of agency pathologies.

The information theory approach of Frieden is harnessed to explain the immanent dynamics of the agency, and explore the likelihood of predicting its behaviour.

The outcomes of the research formulate the cognitive processes of normative personality such that its potential behaviour in given situations can be predicted, even potentially where the agency has pathologies.

There are no comparative approaches to explore organisational behaviour and their potential pathologies.

This paper aims to initiate a new, formal theory of sociocultural physics.

Its intended scope is limited to predicting either long‐term, large‐scale or short‐term, small‐scale sociocultural events. The theory that the authors develop, called sociohistory, links three independent but relatable approaches: part of Sorokin's epistemological theory of sociocultural dynamics, Frieden's epistemological theory of extreme physical information (EPI), and Yolles's social viable systems (SVS) theory.

Although not all of Sorokin's ideas are universally accepted, a subset of them is found to be extremely useful for describing the conceptual context of complex systems. This includes how sociocultural processes link closely into political processes.

The theory that develops helps explain how opposing, cultural enantiomers or yin‐yang forces (represented, for instance, by the polar mindsets represented in Islamic fundamentalism and global enterprise) can result in violent conflict, or in either viable or non‐viable social communities. The informations I and J of EPI theory are regarded, respectively, as sensate and ideational enantiomers.

While the resulting sociocultural physics is in its infancy, an illustrative application to the developmental dynamics of post‐colonial Iran demonstrates its potential utility.