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Based on upper echelons (UE) theory, the purpose of this study is to investigate a conceptualized moderated mediation model for examining the effects of top management team (TMT) heterogeneity and firm value in China through the mediating effect of product diversification, the moderating effect of ownership type between TMT heterogeneity and product diversification and the moderating effect of executive shareholding between product diversification and firm value.

Unbalanced panel data were collected over 5 years with a total of 6,597 observations, organized through the WIND (Wind Economic Database) and CSMAR (China Stock Market and Accounting Research) Database. The hypotheses were tested using structural equation modeling and analyzed with stata15.0 software.

The results indicated that product diversification plays a mediating role between TMT heterogeneity and firm value. In China, TMT heterogeneity of non–state-owned enterprises plays a more significant role in promoting product diversification than that of state-owned enterprises; executive shareholding strengthens the relationship between product diversification and firm value.

The characteristic dimension of TMT is seen as a relatively static factor, and it is worth looking at whether a more dynamic system of evaluation and measurement can be established.

This study enriches theoretical research on TMT and contributes to UE theory in several ways. First, we studied the mediation effect of product diversification between TMT heterogeneity and firm value. This extends research on UE theory to possible process variables. Second, considering the influence of the unique institutional environment in China on corporate strategic decisions, the study investigates state-owned and non–state-owned enterprises. Specifically, it looks at the influence of ownership type as a moderating variable between TMT heterogeneity and product diversification. Third, the paper discusses the moderating effect of executive shareholding on the product diversification–firm value relationship. The research contributes to agency theory and expands research on different economic systems by implementing agency theory.

This chapter of the book aims to introduce multiobjective linear programming (MLP) as an optimum tool to find the best quality engineering techniques (QET) in the main domains of supply chain management (SCM). The importance of finding the best quality techniques in SCM elements in the shortest possible time and at the least cost allows all organizations to increase the power of experts’ analysis in supply chain network (SCN) data under cost-effective conditions. In other words, this chapter aims to introduce an operations research model by presenting MLP for obtaining the best QET in the main domains of SCM. MLP is one of the most determinative tools in this chapter that can provide a competitive advantage. Under goal and system constraints, the most challenging task for decision-makers (DMs) is to decide which components to fund and at what levels. The definition of a comprehensive target value among the required goals and determining system constraints is the strength of this chapter. Therefore, this chapter can guide the readers to extract the best statistical and non-statistical techniques with the application of an operations research model through MLP in supply chain elements and shows a new innovation of the effective application of operations research approach in this field. The analytic hierarchy process (AHP) is a supplemental tool in this chapter to facilitate the relevant decision-making process.