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This paper aims to help scholars to know the frontiers in the strategic management field. On studying, it was noted that business strategic management originated from America in the 1960s and has experienced more than half a century. However, strategic management development lacks systematical summary in the twenty-first century. The scientometric method was appliedto find out the frontiers and progress of the research of strategic management in the twenty-first century, based on the literature from 2001 to 2012 in the Strategic Management Journal.

In the paper, the authors mainly used the scientometric method and applied keywords, co-occurrence method combined with multistatistical methods and mutation words analysis, author co-citation, literature co-citation and keywords co-occurrence (national).

The findings show that the strategic management research focuses on the following theories and academic thoughts: knowledge-based view, network organization research and dynamic capability are the mainstream; besides, strategy risk, the stakeholders analysis of strategy management, corporate reputation and strategic concept also attract the attention of researchers; Barney, Teece and Porter have made significant contributions to strategy management research since the twenty-first century.

The findings in the paper will help scholars in the field of strategic management to know the main frontiers of the theory, as well as the main contributors.

This study explores the influencing factors on organizational efficiency of the smart logistics ecological chain, and designs the corresponding theoretical framework to guide the practice of enterprises

A multi-case study method is adopted in this study. It includes four companies A, B, C and D in China as the case study objects, collects data through enterprise survey and uses the combination of open coding and spindle coding to process the data. By testing the reliability and validity, the theoretical framework is summarized.

First, organizational efficiency in smart logistics ecological chains is directly related to their service and technology innovation capability. Second, symbiotic relationships, information sharing and customer demand affect the efficiency of smart logistics multi-case ecological chains by influencing their service capacity; their technological innovation capability regulates the mechanism of influence. Third, technological innovation in smart logistics ecological chains positively impacts their service capabilities. Improving technological innovation capability can enhance logistics service capabilities.

According to the characteristics of smart logistics, the theoretical framework about organizational efficiency of smart logistics ecological chain is constructed, which fills the research gap and can provide interesting perspectives for the future research related to the smart logistics ecological chain. At the same time, the findings can also help enterprises to better build the smart logistics ecological chain in practice.