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The purpose of this paper is to explore self-management among informal tourism employees in urban China with the theoretical basis of Jianghu and reveal the forming process and operation mechanism of China’s urban informal organizations’ self-management.

This paper adopts process–event analysis of informal tourism photographers surrounding Guangzhou Tower. Conducting field inspection and in-depth interviews, the forming process is analyzed and typical events are captured to unveil this self-management mechanism.

The self-management of informal tourism employees in China is based on the Jianghu theory, which specifies the role, obligation and responsibility of a member. These above rely on word-of-mouth order or implicit ways to treat newcomers, realize internal communication and deal with public affairs. Brotherhood, benevolence and etiquette make up the core values of the Jianghu theory that advises strategies in dealing with different events. This self-management, based on the Jianghu theory, has not only effectively solved internal conflicts, but has also achieved the goal of social management.

Informal employees’ self-management is extremely important due to the high cost of government intervention. Through China’s urban informal tourism employees’ Jianghu-styled self-management, the paper shows that the government should not crack down on this group indiscriminately. Instead, it should, through the management agent, set up effective Jianghu rules to realize regular control over this group.

For the basic problems on platform innovation, such as platform innovation connotation and characteristics, the driving mechanism and the influence mechanism are less been studied. This study aims to explore how to achieve platform innovation in traditional service enterprises.

Based on the theory of enterprise network and binary learning, respectively, this paper discusses the behavior of binary learning based on network structure and network impact on efficiency and innovative platform innovation, and analyzed the realization of the platform innovation path.

The research draws the following conclusions: the network structure-based exploitative learning can promote the efficiency platform innovation, while the network behavior-based exploratory learning can promote the novelty platform innovation. The interaction between network structure and network behavior embedded in traditional services is more conducive to exploratory learning so as to promote novelty platform innovation, and the platform innovation of traditional service enterprises is a process from efficiency-oriented to novelty-oriented. The innovation effect generated by exploratory learning based on network behavior is much higher than that generated by exploitative learning based on network structure. The theoretical contributions of this study are as follows: first, this study compares the similarities and differences between service innovation of platform-oriented enterprises and platform innovation of service enterprises. On this basis, it clearly defines the concept of platform innovation and divides it into two categories: efficiency platform innovation and novelty platform innovation. Second, it reveals the two paths for traditional service enterprises to realize platform innovation, and the interaction between these two paths are also explored, which promotes the scenario-based and dynamic study of platform innovation in traditional service enterprise. The conclusion of this study provides theoretical reference for traditional service enterprises to carry out platform innovation.

Theoretical contribution of this paper lies in: first, the concept of platform innovation is clearly defined. Current research about platform innovation is mainly around the innovation of platform enterprise and the platform innovation of traditional enterprise, but there is no document that makes clear distinction; some literature even equates innovation of platform enterprise with platform innovation of traditional enterprise. In this paper, through a detailed literature review and analysis, clearly define the concept of platform innovation and divided into efficiency platform innovation and novel platform innovation, which has made theoretical contribution to the depth of the research. Second, expand the platform innovation research of traditional service industry. In recent years, the platform innovation research of traditional enterprise has become a hot spot, but they focus on the attention of the platform transformation of traditional manufacturing industry, such as Haier; the traditional service industries seem to be “empty,” but, in fact, the traditional service industry platform innovation is of great significance and more worth looking forward to. In this paper, the longitudinal case studies can promote academic concerns focus on the traditional service industry, and also provides the theory instruction practice. Third, it promotes the platform innovation research of traditional enterprise and dynamic analysis. Based on the theory of enterprise network and binary learning, respectively, it discusses the behavior of binary learning based on network structure and network impact on efficiency and innovative platform innovation, and analyzed the realization of the platform innovation path. On the one hand, it enriches the research type of platform innovation; on the other hand, the dynamic evolution mechanism of platform innovation research can make up for the deficiency of the existing literature.

Since firms are often puzzled with the adoption of proper governing mechanism to achieve their environmental benefits, this research examines how green supplier integration (GSI) affects environmental performance via environmental innovation and the moderating role of ambidextrous governance.

The authors tested the hypotheses by adopting two-waved survey data from 206 Chinese manufacturers and the hierarchical regression analysis.

The results revealed that GSI is positively linked with both incremental and radical environmental innovation, which further enhance environmental performance. Moreover, balanced ambidexterity enhanced the link between GSI and incremental environmental innovation, while combined ambidexterity alleviated the link between GSI and radical environmental innovation.

Firms should integrate suppliers into their activities of dealing with environmental issues to realize environmental benefits through facilitating environmental innovation. Moreover, the choice of different dimensions of ambidextrous governance can affect the environmental benefits of GSI.

This research enriches the authors’ understanding of how to achieve environmental benefits by engaging in GSI, and it provides a novel and insightful approach for better managing GSI from the perspective of ambidextrous governance.

In the digital economy, digital capability has become an important dynamic capability of enterprises and plays an essential role in enhancing firm resilience. This study aims to investigate the relationships among digital capability, knowledge search, coopetition behavior and firm resilience based on knowledge-based view and resource-based view.

This study uses the hierarchical regression and bootstrapping methods to test the theoretical framework and research hypotheses. The survey data were collected from 241 Chinese enterprises.

Digital capability has significantly positive effects on knowledge search and firm resilience. Knowledge search positively affects firm resilience and partially mediates the relationship between digital capability and firm resilience. Coopetition behavior weakens the relationship between digital capability and knowledge search, and the mediating effect of knowledge search in the relationship between digital capability and firm resilience. The moderating effect of coopetition behavior on the relationship between digital capability and firm resilience is insignificant.

This study clarifies the effect of digital capability on firm resilience and uncovers the “black box” from digital capability to firm resilience. In addition, this research enriches the literature on digital capability and firm resilience and expands the application of knowledge-based view and resource-based view in the digital context.

Although the importance of green supplier integration (GSI) has been recognized, the knowledge of how it can be enhanced is still limited. Using insights from transaction cost and resource dependence theories, this paper aims to explore how to balance coercive and non-coercive powers to enhance GSI and the mediating role of relationship commitment and the moderating role of relationship closeness.

To validate the hypotheses, this study conducted hierarchical regression analysis and bootstrapping using the survey data collected from 206 Chinese manufacturers.

The results indicate that coercive power undermines normative commitment, while non-coercive power promotes normative and instrumental commitments. Both normative and instrumental commitments enhance GSI. Normative commitment mediates the impacts of coercive and non-coercive powers on GSI, while instrumental commitment only mediates the impact of non-coercive power on GSI. Moreover, supplier trust and dependence negatively moderate the positive link between instrumental commitment and GSI.

Executives should carefully balance coercive and non-coercive powers to encourage firms to maintain good relationships with suppliers and develop common environmental values under different mediating effects of normative and instrumental commitments. However, they should also be aware that high level of trust and dependence can affect the impacts of powers.

This study contributes to GSI literature by opening the “black box” between power and GSI and verifying its boundary conditions.