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服务主导逻辑下的商业模式创新研究
Research on the business model innovation under the service-dominated logic
服务主导逻辑驱动的商业模式创新是企业穿越“服务生命周期”,实现持续发展的重要方式。本文聚焦猎聘的持续性服务创新实践,基于资源整合和主体互动框架,开展探索性单案例研究,解析服务主导逻辑下的商业模式创新演化过程,并构建起穿越“服务生命周期”的服务创新模型。研究发现,服务主导逻辑在企业发展不同时期表现出差异化的特征,依次呈现出支持型-合作型-共生型的特征;其次,资源整合与主体互动的协同是服务主导逻辑落实的关键,亦具有阶段性协同演化特征;最后,在企业发展过程中,商业模式创新按照新颖型-效率型-生态型的路径变化。此外,本文进一步探讨了穿越“服务生命周期”的服务创新的驱动因素,明晰了其中关键的行动机制。相关结论不仅有助于指导服务型企业通过商业模式创新实现服务创新,也为其实现服务创新以穿越“服务生命周期”提供了有益的建议。
Enterprises can cross the "service life cycle" and achieve sustainable development with the help of business model innovation driven by service-dominated logic. This paper focused on Liepin's continuous service innovation practice, carried out an exploratory single case study based on the framework of resource integration and actor interaction, analyzed the evolution process of business model innovation under the service-dominated logic, and constructed a service innovation model about how to crosses the "service life cycle". It was found that the service-dominated logic shows the characteristics of alienation in different periods of the enterprises, and presents the characteristics of supporting-cooperative-symbiotic. Secondly, the co-evolution of resource integration and actor interaction is the key to the implementation of the service-dominated logic, which is also characterized by a phased synergistic evolution. Finally, in the process of enterprise development, business model innovation has also experienced the evolution of novelty-efficiency-eco-type. This paper further discussed the driving factors to cross the "service life cycle", and clarified the key mechanism. The conclusions will not only help guide service enterprise to expand the idea of realizing service innovation through business model innovation, but also provide useful suggestions for realizing service innovation to cross the "service life cycle".
service-dominated logic / resource integration / actor interaction / business model innovation
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Companies, the authors argue, are increasingly turning toward business model innovation as an alternative or complement to product or process innovation. Drawing on extensive research they conducted over the course of the last decade, the authors define a company's business model as a system of interconnected and interdependent activities that determines the way the company "does business" with its customers, partners and vendors. In other words, a business model is a bundle of specific activities - an activity system - conducted to satisfy the perceived needs of the market, along with the specification of which parties (a company or its partners) conduct which activities, and how these activities are linked to each other.;Business model innovation can occur in a number of ways: (1) by adding novel activities, for example, through forward or backward integration, (2) by linking activities in novel ways, or (3) by changing one or more parties that perform any of the activities. Changes to business model design can be subtle, the authors note; even when they might not have the potential to disrupt an industry, they can still yield important benefits to the innovator.;The authors offer a number of examples of business model innovation and pose six questions for executives to consider when thinking about business model innovation:;1. What perceived needs can be satisfied through the new model design?;2. What novel activities are needed to satisfy these perceived needs?;3. How could the required activities be linked to each other in novel ways?;4. Who should perform each of the activities that are part of the business model?;5. How is value created through the novel business model for each of the participants?;6. What revenue model fits with the company's business model to appropriate part of the total value it helps create?
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For all its richness and potential for discovery, qualitative research has been critiqued as too often lacking in scholarly rigor. The authors summarize a systematic approach to new concept development and grounded theory articulation that is designed to bring “qualitative rigor” to the conduct and presentation of inductive research.
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In this article, the authors discuss how an emerging research stream, which they term resource orchestration, has the potential to extend the understanding of resource-based theory (RBT) by explicitly addressing the role of managers’ actions to effectively structure, bundle, and leverage firm resources. First, the authors review this emerging stream by comparing two related frameworks, resource management and asset orchestration. This comparison leads to their integration, which enables a more precise understanding of managers’ roles within RBT. Then the authors discuss what is known and what remains to be known about resource orchestration. This leads to in-depth reviews of three areas where research on resource orchestration can be used to extend RBT. These areas are (1) breadth (resource orchestration across the scope of the firm), (2) life cycle (resource orchestration at various stages of firm maturity), and (3) depth (resource orchestration across levels of the firm). They close with a discussion of future research that will extend resource orchestration and contribute to a more robust RBT.
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