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Artificial intelligence (AI) has penetrated into many fields. How to construct strategic human resources management practices under the background of AI technology has gained great attentions from many researchers in the world. Consequently, the conception of human resource department's client relationship management (HRDCRM) has been put forward. HRDCRM is a focus topic in the practice areas of strategic human resource management. This paper introduced relational capital as a mediating variable and collected two-wave lagged data (N = 235) from the enterprises located in eastern and southern China to conduct an empirical research on relational capital's mediate role by which HRDCRM influences sustainable enterprise performance. Empirical results reveal that under the control of enterprise's ownership and lifecycle-stage, relational capital plays a partial mediate role in the influence of HRDCRM on sustainable enterprise performance. Therefore, the key to improving sustainable enterprise performance is developing the level of HRDCRM and promoting harmonious development between HRDCRM and relational capital.

In actual economies, players sometimes would offer an upper limiter to their output due to capacity constraints, financial constraints and cautious response to uncertainty in the world, or offer a lower limiter to their output due to economies of scale or break-even consideration. In this paper, we discuss a dynamic duopoly game with heterogeneous players by assuming that one of them imposes an upper limiter on output, and the other one imposes a lower limiter. We analyze how the limiter affects the dynamics of output and the performance of players, and explore the number of the equilibrium points and the distribution of conditioned equilibrium points of the model. We then discuss the stable region of conditioned equilibrium. The theoretical results and numerical experiments show that adding appropriate limiter can make the system more robust, and even get rid of its chaos. The numerical results show that chaotic output dynamics can be beneficial to one firm but harmful to the other, and can also be harmful to both of them, and also show that adding appropriate limiter can improve the performance of the player.

In a supply chain which contains one manufacturer and one retailer, the paper introduces the amount of emissions per unit of output produced, and analyses the effects of customer and regulatory environmental pressures on the optimal price and carbon emission. The results show that the optimal wholesale price and retail price are positively related to regulatory environmental pressure and negatively related to customer environmental pressure, and the manufacturer's profit-maximizing level of emissions is determined by the customer environmental sensitivity and initial level of emissions, and the environmental performance of the manufacturer and the retailer's profit are affected by customer and regulatory environmental pressures and market size and costs for environmental investments.

Alliances bring firms some advantages. A good and stable buyer-supplier relationship is crucial in a firm alliance. In this study, we develop an agent-based model to study how the myopic behavior of retailer in a distributed supply chain affects the whole supply chain alliance. We investigate the effect of firm's myopic behavior both in stable and dynamic environment including competition for price and orders. Simulation results show that the retailer's myopic behavior reduces the revenue remarkably both in stable and dynamic environment. When market has more competitors the retailer should maintain the long-term relationship even further. The order's lead-time affects the relationship differently in long-term contract and short-term contract.

The prisoner's dilemma is widely used to research the evolution of cooperation. Here we suppose players use non-discriminative strategies within their neighborhoods and they have different memories to remember the previous interaction histories. In each round, a player copies his most successful neighbor's strategy or most successful strategy in his neighborhood within memory history as his strategy in the coming round, and the player uses preferential selection rule to select a neighbor to learn from. By the use of MC simulations, research results have been given as following: the preferential selection rule greatly promotes the cooperation level in heterogeneity networks while it inhibits the emergence of cooperation in homogeneous regular network; and different learning rules and memory sizes strongly affect the evolution of cooperation especially in homogeneous case.