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The purpose of this paper is to compare the pricing decisions and earning potential of the software supplier and the smart device manufacturer in different software promotion strategies.

Based on game theory, the authors formulate two promotion models, that is, the supplier implements software promotion activities individually (SP model) or outsources the promotion activity to the manufacturer under profit-sharing contract (MP model) when taking different channel power structures into consideration. Besides, in order to test the robustness of the conclusions, the authors also extend the basic model to the following situations: (1) the customers have different price elasticity toward service fee and product price; (2) the revenue sharing contract is employed by the supply chain members; and (3) the manufacturer's product promotion practice is taken into consideration.

The optimal service fee (product price) of the supplier (manufacturer) under SP model is always lower (higher) than that under MP model. Surprisingly, if the supplier is the channel leader and the profit sharing ratio exceeds certain threshold, the manufacturer's profit decreases in profit sharing ratio, which remains robust in three extension models. Moreover, the supply chain's profit in supplier-led game is always lower than that in Nash game irrespective of the promotion strategy in profit sharing context. When revenue sharing contract is adopted, the result holds only when the revenue sharing ratio is relatively low.

The authors originally explore two promotion strategies of the software supplier when taking the channel power structures into considerations, which has not been explored in the literature to the best of the authors' knowledge.

More and more attention has been paid to the financing of small- and medium-sized enterprises (SMEs) and environmental protection. Many literatures have done detailed research on them; yet, few of them studied the interaction between corporate financing behaviors and environmental concerns. This study aims to incorporate the impact of the role of data collection into the mathematical model to explore the optimal financial and ordering strategies when considering environmental protection.

A Stackelberg game modeling and backward induction methods are used to derive the optimal equilibrium solutions, using numerical experiments to further explore the influences of various financing strategies on the green degree of product and ordering policies.

No matter which financing modes the capital-constrained retailer chooses, both the loan interest rate and order quantity considering environmental protection are larger than that without environmental protection concerns. As the retailer's initial capital increases, the optimal loan interest rates under various financing modes are all decreasing. The application of big data technology would promote the environmental protection of enterprises and increase the accuracy of financing decisions.

This paper studies financing activities of a supply chain considering data collection and environmental protection behaviors, which provides meaningful guidance for the financing and environmental decision-making of enterprises.