Demand for perishable food is sensitive to product prices and is affected by the prices of similar or alternative products. While brand loyalty influences the demand for products, determining a reasonable price requires a precise pricing strategy. In this paper, a pricing model for perishable food is presented in which the brand value of the product and the price of other manufacturers as competitors are considered. To this end, this study first predicts the price of competitors using a combination of optimized Neural Networks and presents an optimized model using a Genetic Algorithm. This algorithm combines a Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), and a Genetic Algorithm (GA). The proposed model is then used to merge with a game-theory model for the pricing of perishable foods. In this game-theory model, pricing approaches are developed based on identified prices of competitors. In the coordination contract game-theory model, Multi Retailer- one Supplier and Price-sensitive demand of Perishable product are developed with and without quantity discount contract. Obtained results indicate that independent procurement provides retailers with higher profit, while lower profit will be presented when coordination is not considered. Also, with coordination, the ordering cycle increases, and the ordering frequency decrease.

Along with the constant changes in the current business environment, more and more enterprises have recognised the importance of Corporate Social Responsibility (CSR). Considering that profit maximisation is the eternal pursuit of enterprises and that some studies have already linked the financial performance of enterprises and their implementation of social responsibility together, this study will try to further explore the impact of social responsibility initiatives on enterprises’ financial performance within the context of emerging economy. Given that enterprises’ sustainable development is closely related to their implementation of CSR, an improvement in their corresponding financial performance due to effective social responsibility practices can incentivise enterprises to take part in CSR initiatives aimed at enhancing the sustainable development of society and the environment. Through using the panel data from Chinese Listed Companies, this research finds that responsibility’s implementation is positively related with enterprises’ financial performance, and that relationship is non-linear. Additionally, as a critical regulatory institution, government fails to function as a mediator within the above-mentioned relationship based on the robust empirical test. At the same time, the fulfilment of CSR can not be achieved at the expense of profit maximisation. The non-linear relationship between CSR and enterprises’ financial performance (CFP) demonstrated in this research suggests that the financial performance of a firm can be optimised when it moderately fulfils its social responsibility. This finding offers a potential optimal strategy for the sustainable development of the firm as well as society. Also, the role of government deserves further exploration and utilisation, considering its significant linkages with enterprises and social development.

Purpose: A lack of sourcing-specific team research prevents a full understanding of sourcing teamwork effectiveness (STE). Moreover, the limited purchasing and supply management (PSM) team literature often tends to focus on an aggregate group level. The paper makes a step towards adopting an individual actor perspective on teamwork effectiveness with an emphasis on the context of sourcing, explicating the effects of team-member knowledge, skills and abilities (KSAs), and examining how these relationships are moderated by a common learning experience of strategic sourcing masterclass.Design/methodology/approach: Based on a cross-sectional survey, this study analyses a sample of 90 sourcing team members from a global aerospace manufacturing company using hierarchical regression analysis.Findings: The results suggest that four of the five KSAs positively and significantly affect STE; the exception was collaborative problem solving. Masterclass learning outcomes were found to positively moderate the effects of these KSAs on STE, again exclusive of the collaborative problem-solving KSA.Research limitations/implications: Cross-sectional design focused only on the aerospace sector may affect generalizability. Further, longitudinal research designs would capture the effects of the common learning experience over an extended period.Practical implications: Sourcing team members could be selected based on having KSAs which significantly affect teamwork effectiveness. Training and development for sourcing teams should combine guided reflexivity and cross-training to deliver learning outcomes that create similar team mental models.Originality/value: The study provides an individual team-member perspective on the functioning of sourcing teams which is absent in the extant research. It contributes to the very limited research base on skills in PSM.