| With the gradual decline of the demographic dividend and the continuous deepening of industrial reform,Chinese manufacturing industry is facing the development dilemma of rising production costs,shrinking external demand and unsustainable traditional growth mode.In this regard,the "Made in China 2025" and the "Special Action Guide for Developing Service-oriented Manufacturing" propose that manufacturing enterprises should take service innovation as an important strategic to enhance additional value of product and create differentiated competitive advantage,and realize the transformation and upgrading from production-oriented manufacturing to service-oriented manufacturing by providing value-added services and integrated solutions based on product life cycle.However,the advantageous resources of manufacturing enterprises are often difficult to meet the needs of service innovation.How to expand the access to resources and make up for the internal service resource gap with the help of external knowledge has become the first problem for the manufacturing enterprise who wants to carry out service innovation.As a joint learning activity among cooperative enterprises,relationship learning can help enterprises maintain external relations and promote the extensive integration of heterogeneous knowledge and resources.Therefore,it has become the key for manufacturing enterprises to resolve the resource crisis and break through the dilemma of service innovation.Relationship learning is a kind of learning behavior that cooperative enterprises continuously promote information exchange through relationship and cooperation,improve the relationship process between the two sides,and jointly create higher profit value.Its implementation process will be effected by multi-level factors such as intra-organizational,inter-organizational and organizational environment.However,most of the existing studies focus on the direct impact of single level driving factors on relationship learning,and lack sufficient attention to the linkage effects of different driving factors at multiple levels.In addition,manufacturing enterprises can expand external connections and obtain a large number of service innovation resources by using relational learning.However,the existing research focuses on the impact of relational learning on ambidextrous innovation,technological innovation and cooperative innovation,and few studies discuss the impact of relationship learning on service innovation.Whether and how relationship learning effects the service innovation performance of manufacturing enterprises still needs to be further discussed from the theoretical level.Based on this,our study takes manufacturing enterprises servitization as the background,and puts forward the core problem of "how manufacturing enterprises use relationship learning to break through the dilemma of service innovation",and further decomposes the problem into two specific sub questions: "how manufacturing enterprises effectively carry out relationship learning" and "whether and how relationship learning can promote the service innovation performance of manufacturing enterprises".Then,following the process logic of "Theoretical Analysis-Antecedent Identification-Path Exploration-Performance Impact" : In the theoretical analysis part,we first systematically reviewed and combed the relevant theories and variables involved in the research,defined the concept and measurement of each variable,clarified the possible interrelationships between variables,and summarized the shortcomings of the current research,so as to lay a foundation for better answering research questions;In the antecedent identification part,based on the MOA theory and synergy theory,six main driving factors of relationship learning are analyzed and identified from three levels of enterprise motivation,opportunity and capability,thus laying a foundation for the following configuration analysis;In the part of path exploration,this study uses fuzzy set qualitative comparative analysis(fs QCA)to analyze the configuration of six antecedents effecting relationship learning,obtains three driving paths and two inhibition paths of relationship learning,and further analyzes each configuration path,so as to deepen the research conclusion;In the performance impact part,based on the resource orchestration theory and evolution theory,following the logic of "resource acquisition—resource integration—resource utilization—innovation performance",this study introduces strategic flexibility and organizational routines renewal as mediator variables and shared vision as moderator variable,and constructs an integration model of the relationship between relationship learning and service innovation performance of manufacturing enterprises,then verifies it by using multiple regression analysis method.Finally,the data analysis results are discussed.Finally,the data analysis results are discussed.This study draws the following conclusions: Firstly,the driving force of relationship learning mainly comes from the three levels of motivation,opportunity and ability,which can be refined into six antecedent factors: network orientation,innovation orientation,relationship quality,environmental dynamics,network ability and absorptive ability,and any antecedent factor can not alone constitute a necessary condition for high or non-high level relationship learning;Secondly,there are three configuration paths that drive high-level relationship learning.In this study,they are classified into three types: "two wheel drive","relationship drive" and "learning drive".The three configuration paths are equivalent to each other in driving high-level relationship learning;There are two configuration paths that lead to non-high level relationship learning.They constitute a second-order equivalent configuration and have an asymmetric relationship with the configuration structure that constitutes high-level relationship learning;Thirdly,relationship learning has a positive effect on service innovation performance of manufacturing enterprises,and the three dimensions of information sharing,common understanding and specific relationship memory have a positive impact on service innovation performance of manufacturing enterprises;Fourthly,strategic flexibility plays a mediating role in the process of relationship learning effecting service innovation performance of manufacturing enterprises.Organizational routines renewal plays mediating role in the process of relationship learning effecting service innovation performance of manufacturing enterprises.Strategic flexibility and organizational routines renewal play a chain mediating role in the process of relationship learning affecting service innovation performance of manufacturing enterprises;Fifthly,shared vision can strengthen the role of relationship learning in promoting strategic flexibility and organizational routines renewal,which is realized through the two paths of common understanding and strategic flexibility,common understanding and organizational routines renewal.Above all,this study focuses on the practical difficulties in the practice of service innovation in Chinese manufacturing enterprises.By exploring the formation and action mechanism of relationship learning,it draws a more industry-specific and applicable research conclusion,thus expanding the applicable context of relationship learning theory.The research conclusion not only enriches and develops the antecedent integration model of relationship learning,but also provides a valuable theoretical framework for uncovering the black box of the mechanism of how relationship learning effects service innovation performance of manufacturing enterprises.In addition,this study is also of great significance in guiding enterprise relationship learning activities,stimulating managers’ enthusiasm for service innovation,and improving the flexibility of enterprise resource allocation and routine process,which can provide decision-making basis for enterprise managers to effectively carry out relevant practices. |
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